Publications

Toward Automatic Typography Analysis: Serif Classification and Font Similarities

S. T. Wasim; R. S. Collaud; L. Défayes; N. Henchoz; M. Salzmann et al. 

Journal of Data Mining & Digital Humanities. 2024. DOI : 10.46298/jdmdh.10230.

Aggregating Spatial and Photometric Context for Photometric Stereo

D. Honzátko / P. Fua; E. Türetken (Dir.)  

Lausanne, EPFL, 2024. 

Incorporating Projective Geometry into Deep Learning

M. J. Tyszkiewicz / P. Fua (Dir.)  

Lausanne, EPFL, 2024. 

Coarsest-level improvements in multigrid for lattice QCD on large-scale computers

J. Espinoza-Valverde; A. Frommer; G. Ramirez-Hidalgo; M. Rottmann 

Computer Physics Communications. 2023-11-01. Vol. 292, p. 108869. DOI : 10.1016/j.cpc.2023.108869.

Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma

J. Sun; L. Zhang; B. Hu; Z. Du; W. C. Cho et al. 

Lung Cancer. 2023-10-09. Vol. 186, p. 107392. DOI : 10.1016/j.lungcan.2023.107392.

Learning for Multi-View Tracking

I. Vrkic 

2023-08-15.

Dense Multitask Learning to Reconfigure Comics

D. Bhattacharjee; S. Süsstrunk; M. Salzmann 

2023-07-17. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, Vancouver, Canada, June 18-22, 2023.

Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

Y. Zhu; L-L. Chen; Y-W. Luo; L. Zhang; H-Y. Ma et al. 

European Radiology. 2023-07-12.  p. s00330-023-09845-0. DOI : 10.1007/s00330-023-09845-0.

Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

Z. Wei; B. Guillard; P. Fua; V. Chapin; M. Bauerheim 

Aiaa Journal. 2023-06-23. DOI : 10.2514/1.J062533.

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

E. Tretschk; N. Kairanda; B. R. Mallikarjun; R. Dabral; A. Kortylewski et al. 

Computer Graphics Forum. 2023-05-01. Vol. 42, num. 2, p. 485-520. DOI : 10.1111/cgf.14774.

RMAML: Riemannian meta-learning with orthogonality constraints

H. Tabealhojeh; P. Adibi; H. Karshenas; S. K. Roy; M. Harandi 

Pattern Recognition. 2023-04-12. Vol. 140, p. 109563. DOI : 10.1016/j.patcog.2023.109563.

Unsupervised Electrofacies Clustering Based on Parameterization of Petrophysical Properties: A Dynamic Programming Approach

K. Sinnathamby; C. -Y. Hou; V-M. Gkortsas; L. Venkataramanan; H. B. Datir et al. 

Petrophysics. 2023-04-01. Vol. 64, num. 2, p. 137-153. DOI : 10.30632/PJV64N2-2023a1.

Perspective Aware Road Obstacle Detection

K. Lis; S. Honari; P. Fua; M. Salzmann 

Ieee Robotics And Automation Letters. 2023-04-01. Vol. 8, num. 4, p. 2150-2157. DOI : 10.1109/LRA.2023.3245410.

Visual question answering from another perspective: CLEVR mental rotation tests *

C. Beckham; M. Weiss; F. Golemo; S. Honari; D. Nowrouzezahrai et al. 

Pattern Recognition. 2023-04-01. Vol. 136, p. 109209. DOI : 10.1016/j.patcog.2022.109209.

Ascending neurons convey behavioral state to integrative sensory and action selection brain regions

C-L. Chen; F. Aymanns; R. Minegishi; V. D. V. Matsuda; N. Talabot et al. 

Nature Neuroscience. 2023-03-23. DOI : 10.1038/s41593-023-01281-z.

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

N. Mallya; P. B. Baqué; P. Yvernay; A. Pozzetti; P. Fua et al. 

ASME Journal of Heat and Mass Transfer. 2023-02-03. Vol. 145, num. 5, p. 052902. DOI : 10.1115/1.4056663.

Informing Neural Networks with Simplified Physics for Better Flow Prediction

F. Sergeev 

2023-01-20.

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

S. Guo; Y. Hu; J. M. Alvarez; M. Salzmann 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 18633-18642. DOI : 10.1109/CVPR52729.2023.01787.

Learning Transformations To Reduce the Geometric Shift in Object Detection

V. Vidit; M. Engilberge; M. Salzmann 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 17441-17450. DOI : 10.1109/CVPR52729.2023.01673.

Rigidity-Aware Detection for 6D Object Pose Estimation

Y. Hai; R. Song; J. Li; M. Salzmann; Y. Hu 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 8927-8936. DOI : 10.1109/CVPR52729.2023.00862.

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

W-D. Jang; S. Lukyanenko; D. Wei; J. Yang; B. Leahy et al. 

2023-01-01. 20th IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, COLOMBIA, APR 18-21, 2023. DOI : 10.1109/ISBI53787.2023.10230365.

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

V. Vidit; M. Engilberge; M. Salzmann 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 3219-3229. DOI : 10.1109/CVPR52729.2023.00314.

DrapeNet: Garment Generation and Self-Supervised Draping

L. De Luigi; R. Li; B. Guillard; M. Salzmann; P. Fua 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 1451-1460. DOI : 10.1109/CVPR52729.2023.00146.

Robust Outlier Rejection for 3D Registration with Variational Bayes

H. Jiang; Z. Dang; Z. Wei; J. Xie; J. Yang et al. 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 1148-1157. DOI : 10.1109/CVPR52729.2023.00117.

Topologically Better Delineation of Curvilinear Structures

D. Oner / P. Fua (Dir.)  

Lausanne, EPFL, 2023. 

Deep Learning for 3D Surface Modelling and Reconstruction

B. A. R. Guillard / P. Fua (Dir.)  

Lausanne, EPFL, 2023. 

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

R. Li; B. Guillard; P. Fua 

2023. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, December 10-16, 2023. DOI : 10.48550/arXiv.2305.14100.

Improving Object Detection under Domain Shifts

Vidit / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2023. 

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

L. Barbed; J. Montiel; P. Fua; A. Murillo 

2023. 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada, October 8–12, 2023. p. 583–593. DOI : 10.1007/978-3-031-43907-0_56.

Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions

X. Kuang; K. Yuan; B. Du; J. Yang 

2023-01-01. International Joint Conference on Neural Networks (IJCNN), Broadbeach, AUSTRALIA, Jun 18-23, 2023. DOI : 10.1109/IJCNN54540.2023.10191294.

Vision Transformer Adapters for Generalizable Multitask Learning

D. Bhattacharjee; S. Süsstrunk; M. Salzmann 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, October 2-6, 2023.

Geometrically-Conditioned Point Diffusion Models

M. J. Tyszkiewicz; P. Fua; E. Trulls Fortuny 

2023. International Conference on Computer Vision (ICCV), Paris,

LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

V. Batlle; J. Montiel; P. Fua; J. Tardos 

2023. Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver,

LightDepth: Single-View Depth Self-Supervision from Illumination Decline

J. Puigvert; V. Batlle; J. Montiel; R. Cantin; P. Fua et al. 

2023. International Conference on Computer Vision (ICCV), Paris, October 3-5, 2023.

Center-aware Adversarial Augmentation for Single Domain Generalization

T. Chen; M. Baktashmotlagh; Z. Wang; M. Salzmann 

2023-01-01. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 03-07, 2023. p. 4146-4154. DOI : 10.1109/WACV56688.2023.00414.

Multi-view Tracking UsingWeakly Supervised Human Motion Prediction

M. Engilberge; W. Liu; P. Fua 

2023-01-01. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 03-07, 2023. p. 1582-1592. DOI : 10.1109/WACV56688.2023.00163.

Detecting Anomalies and Obstacles in Road Scenes

K. M. Lis / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2023. 

Dense Image-based Predictions for Comics Analysis

D. Bhattacharjee / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2023. 

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Z. Wei; P. Fua; M. Bauerheim 

2023. AIAA Aviation Forum 2023, San Diego, CA, USA, June 12-16, 2023. DOI : 10.2514/6.2023-3471.

DrapeNet: Garment Generation and Self-Supervised Draping

L. De Luigi; R. Li; B. Guillard; M. Salzmann; P. Fua 

2023. The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, June 18-22, 2023. DOI : 10.48550/arxiv.2211.11277.

Automated Human Motion Analysis and Synthesis

S. Kiciroglu / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2023. 

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

T. Riedlinger; M. Rottmann; M. Schubert; H. Gottschalk 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 3-7, 2023. p. 3910-3920. DOI : 10.1109/WACV56688.2023.00391.

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M. Rottmann; M. Reese 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 3-7, 2023. p. 3213-3222. DOI : 10.1109/WACV56688.2023.00323.

Latent Representation of CFD Meshes and Application to Airfoil Aerodynamics

Z. Wei; B. Guillard; P. Fua; V. Chapin; M. Bauerheim 

2023

Multi-view Tracking Using Weakly Supervised Human Motion Prediction

M. Engilberge; W. Liu; P. Fua 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023. DOI : 10.1109/WACV56688.2023.0016.

Two-level Data Augmentation for Calibrated Multi-view Detection

M. Engilberge; H. Shi; Z. Wang; P. Fua 

2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023. p. 128-136. DOI : 10.1109/WACV56688.2023.00021.

Training Provably Robust Models by Polyhedral Envelope Regularization

C. Liu; M. Salzmann; S. Susstrunk 

Ieee Transactions On Neural Networks And Learning Systems. 2023. Vol. 34, num. 6, p. 3146-3160. DOI : 10.1109/TNNLS.2021.3111892.

PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

H. Osman; N. Darwish; A. Bayoumi 

Engineering Applications Of Artificial Intelligence. 2022-12-31. Vol. 119, p. 105797. DOI : 10.1016/j.engappai.2022.105797.

Overcoming the Domain Gap in Neural Action Representations

S. Guenel; F. Aymanns; S. Honari; P. Ramdya; P. Fua 

International Journal Of Computer Vision. 2022-12-19. DOI : 10.1007/s11263-022-01713-6.

RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers

M. J. Tyszkiewicz; K-K. Maninis; S. Popov; V. Ferrari 

2022-12-12. European Conference on Computer Vision, Tel-Aviv, Israel, October 23-27, 2022. p. 211-228. DOI : 10.1007/978-3-031-20080-9_13.

Self-supervised Segmentation via Background Inpainting

I. Katircioglu; H. Rhodin; V. Constantin; J. Spörri; M. Salzmann et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022-12-12. Vol. 44, num. 12, p. 9574-9588. DOI : 10.1109/TPAMI.2021.3123902.

Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies

Y. Ding; J. Zhang; W. Zhuang; Z. Gao; K. Kuang et al. 

European Radiology. 2022-12-08. DOI : 10.1007/s00330-022-09317-x.

3D Pose Based Feedback For Physical Exercises

Z. Zhao; S. Kiciroglu; H. Vinzant; Y. Cheng; I. Katircioglu et al. 

2022-11-24. 16th Asian Conference on Computer Vision (ACCV 2022), Macau, China, December 4-8, 2022. p. 1316-1332. DOI : 10.1007/978-3-031-26316-3_12.

Modeling Object Dissimilarity for Deep Saliency Prediction

B. Aydemir; D. Bhattacharjee; T. Zhang; S. Kim; M. Salzmann et al. 

Transactions on Machine Learning Research. 2022-11-24. 

Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

H. Yuan; C. Zhao; S. Fan; J. Jiang; J. Yang 

2022-11-11. European Conference on Computer Vision. p. 534-549. DOI : 10.1007/978-3-031-20086-1_31.

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

K. Yu; R. Ranftl; M. Salzmann 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2022-11-01. Vol. 44, num. 11, p. 8110-8124. DOI : 10.1109/TPAMI.2021.3108480.

Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Z. Dang; L. Wang; Y. Guo; M. Salzmann 

2022-10-23. European Conference on Computer Vision (ECCV2022), Tel-Aviv, Israel, Octobre 23-27, 2022. p. 19-37. DOI : 10.1007/978-3-031-19769-7_2.

Robust Isometric Non-Rigid Structure-From-Motion

S. Parashar; D. Pizarro; A. Bartoli 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2022-10-01. Vol. 44, num. 10, p. 6409-6423. DOI : 10.1109/TPAMI.2021.3089923.

Adversarial Parametric Pose Prior

A. Davydov; A. Remizova; V. Constantin; S. Honari; M. Salzmann et al. 

2022-09-27. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, USA, June 18-24, 2022. p. 10987-10995. DOI : 10.1109/CVPR52688.2022.01072.

Weakly Supervised Volumetric Image Segmentation with Deformed Templates

P. U. Wickramasinghe; P. M. Jensen; M. A. Shah; J. Yang; P. Fua 

2022-09-18. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18-22, 2022. p. 422-432. DOI : 10.1007/978-3-031-16443-9_41.

On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation

S. K. Roy; L. Citraro; S. Honari; P. Fua 

2022-09-12. 10th International Conference on 3D Vision 2022 (3DV), Prague, Czechia, September 12-15, 2022. p. 577-586. DOI : 10.1109/3DV57658.2022.00068.

Long Term Motion Prediction Using Keyposes

S. Kiciroglu; W. Wang; M. Salzmann; P. Fua 

2022-09-12. International Conference on 3D Vision (3DV), Prague, Czech Republic, September 12-15, 2022. p. 12-21. DOI : 10.1109/3DV57658.2022.00014.

Attention-based domain adaptation for single-stage detectors

V. Vidit; M. Salzmann 

Machine Vision And Applications. 2022-09-01. Vol. 33, num. 5, p. 65. DOI : 10.1007/s00138-022-01320-y.

TOPO-Loss for continuity-preserving crack detection using deep learning

B. G. Pantoja-Rosero; D. Oner; M. Kozinski; R. Achanta; P. Fua et al. 

Construction And Building Materials. 2022-08-15. Vol. 344, p. 128264. DOI : 10.1016/j.conbuildmat.2022.128264.

Neurite Exchange Imaging ((NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

I. O. Jelescu; A. de Skowronski; F. Geffroy; M. Palombo; D. S. Novikov 

Neuroimage. 2022-08-01. Vol. 256, p. 119277. DOI : 10.1016/j.neuroimage.2022.119277.

Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate

D. Oner; M. Kozinski; L. Citraro; P. Fua 

IEEE Transactions on Medical Imaging. 2022-07-21. Vol. 41, num. 12, p. 3675-3685. DOI : 10.1109/TMI.2022.3193072.

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging

J. Yang; U. Wickramasinghe; B. Ni; P. Fua 

2022-07-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 15840-15850. DOI : 10.1109/CVPR52688.2022.01540.

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy

T. Zhang; C. Qiu; W. Ke; S. Süsstrunk; M. Salzmann 

2022-06-17. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, June 18-24, 2022. p. 16559-16568. DOI : 10.1109/CVPR52688.2022.01608.

Contrastive Class-aware Adaptation for Domain Generalization

T. Chen; M. Baktashmotlagh; M. Salzmann 

2022-01-01. 26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining – Theory and Applications (IMTA), Montreal, CANADA, Aug 21-25, 2022. p. 4871-4876. DOI : 10.1109/ICPR56361.2022.9956262.

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

Van Nguyen Nguyen; Y. Hu; Y. Xiao; M. Salzmann; V. Lepetit 

2022-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 6761-6770. DOI : 10.1109/CVPR52688.2022.00665.

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

W. Mao; M. Liu; M. Salzmann 

2022-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 8141-8150. DOI : 10.1109/CVPR52688.2022.00798.

Leveraging Self-Supervision for Cross-Domain Crowd Counting

W. Liu; N. Durasov; P. Fua 

2022-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 5331-5342. DOI : 10.1109/CVPR52688.2022.00527.

Persistent Homology with Improved Locality Information for more Effective Delineation

D. Oner; A. Garin; M. Kozinski; K. Hess Bellwald; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2023.3246921.

Improving the Training of Compact Neural Networks for Visual Recognition

S. Guo / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2022. 

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

S. Vasu; N. Talabot; A. Lukoianov; P. Baqué; J. Donier et al. 

2022. International Conference on 3D Vision, Prague, Czechia, September 12-15, 2022. DOI : 10.1109/3DV57658.2022.00072.

What Makes for Automatic Reconstruction of Pulmonary Segments

K. Kuang; L. Zhang; J. Li; H. Li; J. Chen et al. 

2022-01-01. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 495-505. DOI : 10.1007/978-3-031-16431-6_47.

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

R. Xu; Y. Luo; B. Du; K. Kuang; J. Yang 

2022-01-01. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 664-674. DOI : 10.1007/978-3-031-16431-6_63.

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

J. Yang; R. Shi; U. Wickramasinghe; Q. Zhu; B. Ni et al. 

2022-01-01. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 503-513. DOI : 10.1007/978-3-031-16440-8_48.

Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections

D. Oner; H. Osman; M. Kozinski; P. Fua 

2022-01-01. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 591-601. DOI : 10.1007/978-3-031-16443-9_57.

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

S. Honari; V. Constantin; H. Rhodin; M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022. DOI : 10.1109/TPAMI.2022.3215307.

Learning to Simulate Realistic LiDARs

B. Guillard; S. Vemprala; J. K. Gupta; O. Miksik; V. Vineet et al. 

2022. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. p. 8173-8180. DOI : 10.1109/IROS47612.2022.9981120.

DIG: Draping Implicit Garment over the Human Body

R. Li; B. Guillard; E. Remelli; P. Fua 

2022. 16th Asian Conference on Computer Vision (ACCV 2022), Macau SAR, China, December 4-8, 2022. p. 344-359. DOI : 10.1007/978-3-031-26319-4_21.

Understanding Deep Neural Networks using Adversarial Attacks

K. K. Nakka / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2022. 

Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift

M. Baktashmotlagh; T. Chen; M. Salzmann 

2022-01-01. 22nd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 04-08, 2022. p. 3737-3746. DOI : 10.1109/WACV51458.2022.00379.

MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks

B. Guillard; F. Stella; P. Fua 

2022. European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, October 23-27, 2022. p. 576–592. DOI : 10.1007/978-3-031-20062-5_33.

Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects

C. Zhao; Y. Hu; M. Salzmann 

2022. European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, October 23-27, 2022.

Object Priors for Volumetric Image Segmentation

P. U. Wickramasinghe / P. Fua (Dir.)  

Lausanne, EPFL, 2022. 

Using Animal Motion Capture to Learn Neural Representations

S. Günel / P. Fua; P. P. Ramdya (Dir.)  

Lausanne, EPFL, 2022. 

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

E. Remelli / P. Fua (Dir.)  

Lausanne, EPFL, 2022. 

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery

J. Li; S. Zi; R. Song; Y. Li; Y. Hu et al. 

Ieee Transactions On Geoscience And Remote Sensing. 2022-01-01. Vol. 60, p. 5618515. DOI : 10.1109/TGRS.2022.3152587.

Learning to Align Sequential Actions in the Wild

W. Liu; B. Tekin; H. Coskun; V. Vineet; P. Fua 

2022. CVPR 2022 : IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, Jun 18-24, 2022. p. 2171-2181. DOI : 10.1109/CVPR52688.2022.00222.

Encoder-Decoder Models for Human Segmentation and Motion Analysis

I. Katircioglu / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2022. 

Learning to Represent and Reconstruct 3D Deformable Objects

J. Bednarík / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2022. 

Multi-planar geometry and latent image recovery from a single motion-blurred image

K. Purohit; S. Vasu; M. P. Rao; A. N. Rajagopalan 

Machine Vision And Applications. 2022-01-01. Vol. 33, num. 1, p. 10. DOI : 10.1007/s00138-021-01254-x.

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

D. Oner; M. Kozinski; L. Citraro; N. C. Dadap; A. G. Konings et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. Vol. 44, num. 9, p. 5401-5413. DOI : 10.1109/TPAMI.2021.3074366.

Counting People by Estimating People Flows

W. Liu; M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. Vol. 44, num. 11, p. 8151-8166. DOI : 10.1109/TPAMI.2021.3102690.

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

E. Gündogdu; V. Constantin; S. Parashar; A. Seifoddini; M. Dang et al. 

IEEE Transactions On Pattern Analysis And Machine Intelligence. 2022. Vol. 44, num. 1, p. 181-195. DOI : 10.1109/TPAMI.2020.3010886.

Distilling Image Classifiers in Object Detectors

S. Guo; M. J. Alvarez; M. Salzmann 

2021-12-06. 35th Conference on Neural Information Processing Systems, Virtual-only , December 6-14, 2021. p. 1036-1047.

Human Detection and Segmentation via Multi-view Consensus

I. Katircioglu; H. Rhodin; J. Spörri; M. Salzmann; P. Fua 

2021-10-11. ICCV 2021 International Conference on Computer Vision, Montreal, Canada (online), October 11-17, 2021. p. 2835-2844. DOI : 10.1109/ICCV48922.2021.00285.

Defect segmentation for multi-illumination quality control systems

D. Honzátko; E. Türetken; S. Arjomand Bigdeli; L. A. Dunbar; P. Fua 

Machine Vision and Applications. 2021-09-23. Vol. 32, num. 118, p. 16. DOI : 10.1007/s00138-021-01244-z.

Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks

O. Altingövde; A. Mishchuk; G. Ganeeva; E. Oveisi; C. Hébert et al. 

Joint Meeting of Dreiländertagung & Multinational Congress on Microscopy (Microscopy Conference 2021), Digital, August 22-26, 2021.

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al. 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2021-09-01. Vol. 43, num. 9, p. 3167-3182. DOI : 10.1109/TPAMI.2020.2978812.

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases

J. Bednarík; V. Kim; S. Chaudhuri; S. Parashar; M. Salzmann et al. 

2021-08-18. 18th IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada (online), October 11-17, 2021. p. 10438-10447. DOI : 10.1109/ICCV48922.2021.01029.

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

A. Gosztolai; S. Gunel; V. Lobato-Rios; M. Pietro Abrate; D. Morales et al. 

Nature Methods. 2021-08-01. Vol. 18, num. 8, p. 975-981. DOI : 10.1038/s41592-021-01226-z.

Wide-Depth-Range 6D Object Pose Estimation in Space

Y. Hu; S. Speierer; W. Jakob; P. Fua; M. Salzmann 

2021-06-25. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 15870-15879. DOI : 10.1109/CVPR46437.2021.01561.

Deep Active Surface Models

P. U. Wickramasinghe; P. Fua; G. Knott 

2021-06-24. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 21-25, 2021. p. 11652-11661. DOI : 10.1109/CVPR46437.2021.01148.

Masksembles for Uncertainty Estimation

N. Durasov; T. Bagautdinov; P. B. Baqué; P. Fua 

2021-06-19. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 13539-13548. DOI : 10.1109/CVPR46437.2021.01333.

Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions

N. C. Dadap; A. M. Hoyt; A. R. Cobb; D. Oner; M. Kozinski et al. 

Agu Advances. 2021-03-01. Vol. 2, num. 1, p. e2020AV000321. DOI : 10.1029/2020AV000321.

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification

S. Hao; W. Wang; M. Salzmann 

IEEE Transactions On Geoscience And Remote Sensing. 2021-03-01. Vol. 59, num. 3, p. 2448-2460. DOI : 10.1109/TGRS.2020.3005623.

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching

J. Qiu; X. Wang; P. Fua; D. Tao 

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2021-02-01. Vol. 43, num. 2, p. 745-752. DOI : 10.1109/TPAMI.2019.2934052.

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

R. Chan; K. Lis; S. Uhlemeyer; H. Blum; S. Honari et al. 

2021. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, virtual, December 6-14, 2021.

Pyramid Architecture Search for Real-Time Image Deblurring

X. Hu; W. Ren; K. Yu; K. Zhang; X. Cao et al. 

2021-01-01. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 4278-4287. DOI : 10.1109/ICCV48922.2021.00426.

Progressive Correspondence Pruning by Consensus Learning

C. Zhao; Y. Ge; F. Zhu; R. Zhao; H. Li et al. 

2021-01-01. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 6444-6453. DOI : 10.1109/ICCV48922.2021.00640.

DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation

M. M. Johari; C. Carta; F. Fleuret 

2021-01-01. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 6019-6028. DOI : 10.1109/ICCV48922.2021.00598.

Contextually Plausible and Diverse 3D Human Motion Prediction

S. Aliakbarian; F. Saleh; L. Petersson; S. Gould; M. Salzmann 

2021-01-01. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 11313-11322. DOI : 10.1109/ICCV48922.2021.01114.

Generating Smooth Pose Sequences for Diverse Human Motion Prediction

W. Mao; M. Liu; M. Salzmann 

2021-01-01. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 13289-13298. DOI : 10.1109/ICCV48922.2021.01306.

Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo

D. Honzatko; E. Turetken; P. Fua; L. A. Dunbar 

2021-01-01. 9th International Conference on 3D Vision (3DV), ELECTR NETWORK, Dec 01-03, 2021. p. 394-402. DOI : 10.1109/3DV53792.2021.00049.

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

F. Saleh; S. Aliakbarian; H. Rezatofighi; M. Salzmann; S. Gould 

2021-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ELECTR NETWORK, Jun 19-25, 2021. p. 14324-14334. DOI : 10.1109/CVPR46437.2021.01410.

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

K. Yu; R. Ranftl; M. Salzmann 

2021-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ELECTR NETWORK, Jun 19-25, 2021. p. 13718-13727. DOI : 10.1109/CVPR46437.2021.01351.

Person Retrieval in Surveillance Videos Via Deep Attribute Mining and Reasoning

Y. Shi; Z. Wei; H. Ling; Z. Wang; J. Shen et al. 

Ieee Transactions On Multimedia. 2021-01-01. Vol. 23, p. 4376-4387. DOI : 10.1109/TMM.2020.3042068.

Human-Centered Scene Understanding via Crowd Counting

W. Liu / P. Fua (Dir.)  

Lausanne, EPFL, 2021. 

Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient

Y. Shi; Z. Wei; H. Ling; Z. Wang; P. Zhu et al. 

Ieee Transactions On Multimedia. 2021-01-01. Vol. 23, p. 3264-3277. DOI : 10.1109/TMM.2020.3023272.

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation

Z. Li; Y. Hu; M. Salzmann; X. Ji 

2021-01-01. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, ELECTR NETWORK, Feb 02-09, 2021. p. 2020-2028. DOI : 10.1609/aaai.v35i3.16298.

Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches

B. Guillard; E. Remelli; P. Yvernay; P. Fua 

2021. International Conference on Computer Vision (ICCV), Virtual, October 11-17, 2021. p. 13003-13012. DOI : 10.1109/ICCV48922.2021.01278.

Robust Differentiable SVD

W. Wang; Z. Dang; Y. Hu; P. Fua; M. Salzmann 

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2021.  p. 1-1. DOI : 10.1109/TPAMI.2021.3072422.

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search

K. Yu / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2021. 

PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers

F. Yu; M. Salzmann; P. Fua; H. Rhodin 

2021. Conference on Computer Vision and Pattern Recognition (CVPR), Online, June 19-25, 2021. p. 9060-9069. DOI : 10.1109/CVPR46437.2021.00895.

Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

M. Qi; J. Qin; Y. Yang; Y. Wang; J. Luo 

IEEE Transactions On Image Processing. 2021-01-01. Vol. 30, p. 2989-3004. DOI : 10.1109/TIP.2020.3048680.

Image Matching Across Wide Baselines: From Paper to Practice

Y. Jin; D. Mishkin; A. Mishchuk; J. Matas; P. Fua et al. 

International Journal Of Computer Vision. 2021. Vol. 129, p. 517–547. DOI : 10.1007/s11263-020-01385-0.

Motion Prediction Using Temporal Inception Module

T. Lebailly; S. Kiciroglu; M. Salzmann; P. Fua; W. Wang 

2020-12-30. Asian Conference on Computer Vision (ACCV), Kyoto, Japan, December, 2020. p. 651-665. DOI : 10.1007/978-3-030-69532-3_39.

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks

S. Guo; M. J. Alvarez; M. Salzmann 

2020-12-06. 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6–12, 2020.

A convolutional neural network segments yeast microscopy images with high accuracy

N. Dietler; M. Minder; V. Gligorovski; A. M. Economou; D. A. H. L. Joly et al. 

Nature Communications. 2020-11-12. Vol. 11, num. 1, p. 5723. DOI : 10.1038/s41467-020-19557-4.

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets

W. Wang; X. Alameda-Pineda; D. Xu; E. Ricci; N. Sebe 

IEEE Transactions On Multimedia. 2020-11-01. Vol. 22, num. 11, p. 2808-2819. DOI : 10.1109/TMM.2019.2963621.

Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals

S. Li; S. Günel; M. Ostrek; P. P. Ramdya; P. Fua et al. 

2020-09-01. Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155-13165. DOI : 10.1109/CVPR42600.2020.01317.

Volumetric Transformer Networks

S. Kim; S. Süsstrunk; M. Salzmann 

2020-08-23. European Conference on Computer Vision (ECCV 2020), Virtual Conference, August 23-28, 2020.

TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation

S. Vasu; M. Kozinski; L. Citraro; P. Fua 

2020-08-23. European Conference on Computer Vision (ECCV), [Online event], August 23-28, 2020.

Estimating People Flows to Better Count Them in Crowded Scenes

W. Liu; M. Salzmann; P. Fua 

2020-08-23. European Conference on Computer Vision (ECCV), [Online event], August 23-28, 2020. p. 723-740. DOI : 10.1007/978-3-030-58555-6_43.

XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

D. Mehta; O. Sotnychenko; F. Mueller; W. Xu; M. Elgharib et al. 

Acm Transactions On Graphics (TOG). 2020-07-01. Vol. 39, num. 4, p. 82. DOI : 10.1145/3386569.3392410.

Single-Stage 6D Object Pose Estimation

Y. Hu; P. Fua; W. Wang; M. Salzmann 

2020-06-16. Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, June 16 – 18, 2020. p. 2927-2936. DOI : 10.1109/CVPR42600.2020.00300.

DUNIT: Detection-based Unsupervised Image-to-Image Translation

D. Bhattacharjee; S. Kim; G. Vizier; M. Salzmann 

2020-06-14. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun 14-19, 2020. p. 4786-4795. DOI : 10.1109/CVPR42600.2020.00484.

Shape Reconstruction by Learning Differentiable Surface Representations

J. Bednarík; S. Parashar; E. Gündogdu; M. Salzmann; P. Fua 

2020-06-14.  Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 14-16, 2020. p. 4715-4724. DOI : 10.1109/CVPR42600.2020.00477.

DISK: learning local features with policy gradient

M. J. Tyszkiewicz; P. Fua; E. Trulls 

2020-06-01. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada (online), December 6-12, 2020.

MeshSDF: Differentiable Iso-Surface Extraction

E. Remelli; A. Lukoianov; S. Ritcher; B. Guillard; T. Bagautdinov et al. 

2020-06-01. Conference on Neural Information Processing Systems (NeurIPS), [Virtual event], December, 2020.

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

S. Kiciroglu; H. Rhodin; S. N. Sinha; M. Salzmann; P. Fua 

2020-06-01. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 14-19, 2020. p. 100-109. DOI : 10.1109/CVPR42600.2020.00018.

Joint Segmentation and Path Classification of Curvilinear Structures

A. Mosinska; M. Kozinski; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2020-06-01. Vol. 42, num. 6, p. 1515-1521. DOI : 10.1109/TPAMI.2019.2921327.

Real-time camera pose estimation for sports fields

L. Citraro; P. Márquez-Neila; S. Savarè; V. Jayaram; C. Dubout et al. 

Machine Vision and Applications (MVA). 2020-03-25. Vol. 31, num. 3, p. 16. DOI : 10.1007/s00138-020-01064-7.

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

M. Kozinski; A. Mosinska; M. Salzmann; P. Fua 

Medical Image Analysis. 2020-02-01. Vol. 60, p. 101590. DOI : 10.1016/j.media.2019.101590.

Better Patch Stitching for Parametric Surface Reconstruction

Z. Deng; J. Bednarik; M. Salzmann; P. Fua 

2020-01-01. 8th International Conference on 3D Vision (3DV), ELECTR NETWORK, Nov 25-28, 2020. p. 593-602. DOI : 10.1109/3DV50981.2020.00069.

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction

S. Aliakbarian; F. S. Saleh; M. Salzmann; L. Petersson; S. Gould 

2020-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ELECTR NETWORK, Jun 14-19, 2020. p. 5222-5231. DOI : 10.1109/CVPR42600.2020.00527.

UCLID-Net: Single View Reconstruction in Object Space

B. Guillard; E. Remelli; P. Fua 

2020. 34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.

Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images

L. Citraro; M. Kozinski; P. Fua 

2020. European Conference on Computer Vision (ECCV 2020), [Virtual conference], August 23-28, 2020.

STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing

M. Qi; Y. Wang; A. Li; J. Luo 

Ieee Transactions On Image Processing. 2020-01-01. Vol. 29, p. 5420-5430. DOI : 10.1109/TIP.2020.2983567.

Multi-Modal Recurrent Attention Networks for Facial Expression Recognition

J. Lee; S. Kim; S. Kim; K. Sohn 

Ieee Transactions On Image Processing. 2020-01-01. Vol. 29, p. 6977-6991. DOI : 10.1109/TIP.2020.2996086.

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

P. U. Wickramasinghe; E. Remelli; G. Knott; P. Fua 

2020. International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), Lima, Peru, 4-8 OCTOBER 2020.

Learning and leveraging shared domain semantics to counteract visual domain shifts

R. Bermúdez Chacón / P. Fua (Dir.)  

Lausanne, EPFL, 2020. 

Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings

S. Parashar; M. Salzmann; P. Fua 

2020. Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 16-18, 2020. p. 2056-2064. DOI : 10.1109/CVPR42600.2020.00213.

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

R. Bermúdez Chacón; O. Altingövde; C. J. Becker; M. Salzmann; P. Fua 

IEEE Transactions on Medical Imaging. 2020. Vol. 39, num. 4, p. 1256-1267. DOI : 10.1109/TMI.2019.2946462.

Evaluating the search phase of neural architecture search

K. Yu; C. Suito; M. Jaggi; C-C. Musat; M. Salzmann 

2020. ICRL 2020 Eighth International Conference on Learning Representations, Millennium Hall, Addis Ababa, ETHIOPIA, April 26-30, 2020.

Domain-Adaptive Multibranch Networks

R. Bermúdez Chacón; M. Salzmann; P. Fua 

2020. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.

Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation

W. Liu; K. M. Lis; M. Salzmann; P. Fua 

2019-11-08. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019. p. 244-249. DOI : 10.1109/IROS40897.2019.8967852.

Learning to Find Unpaired Cross-Spectral Correspondences

S. Jeong; S. Kim; K. Park; K. Sohn 

Ieee Transactions On Image Processing. 2019-11-01. Vol. 28, num. 11, p. 5394-5406. DOI : 10.1109/TIP.2019.2917864.

Detecting the Unexpected via Image Resynthesis

K. M. Lis; K. K. Nakka; P. Fua; M. Salzmann 

2019-10-27. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 2152-2161. DOI : 10.1109/ICCV.2019.00224.

Recurrent U-Net for Resource-Constrained Segmentation

W. Wang; K. Yu; J. Hugonot; P. Fua; M. Salzmann 

2019-10-27. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 2142-2151. DOI : 10.1109/ICCV.2019.00223.

Probabilistic Atlases to Enforce Topological Constraints

P. U. Wickramasinghe; G. Knott; P. Fua 

2019-10-10. 22rd International Conference On Medical Image Computing & Computer Assisted Intervention, Shenzhen, China, 2019-10-13. DOI : 10.1007/978-3-030-32239-7_25.

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

S. Günel; H. Rhodin; D. Morales; J. H. Campagnolo; P. Ramdya et al. 

eLife. 2019-10-04. Vol. 8, p. e48571. DOI : 10.7554/eLife.48571.

Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing

M. Ostrek; H. Rhodin; P. Fua; E. Mueller; J. Spoerri 

Sensors. 2019-10-01. Vol. 19, num. 19, p. 4323. DOI : 10.3390/s19194323.

A new method to determine multi-angular reflectance factor from lightweight multispectral cameras with sky sensor in a target-less workflow applicable to UAV

K. Schneider-Zapp; M. Cubero-Castan; D. Shi; C. Strecha 

Remote Sensing Of Environment. 2019-08-01. Vol. 229, p. 60-68. DOI : 10.1016/j.rse.2019.04.007.

Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking

A. Maksai; P. Fua 

2019-06-23. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 4634-4643. DOI : 10.1109/CVPR.2019.00477.

Aerodynamic shape optimization via surrogate modelling with convolutional neural networks

F. Bardi 

2019-06-21.

Neural Scene Decomposition for Multi-Person Motion Capture

H. Rhodin; V. Constantin; I. Katircioglu; M. Salzmann; P. Fua 

2019-06-20. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 7695-7705. DOI : 10.1109/CVPR.2019.00789.

Context-Aware Crowd Counting

W. Liu; M. Salzmann; P. Fua 

2019-06-20. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019. p. 5094-5103. DOI : 10.1109/CVPR.2019.00524.

Segmentation-driven 6D Object Pose Estimation

Y. Hu; J. L. Hugonot; P. Fua; M. Salzmann 

2019-06-16. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019. p. 3380-3389. DOI : 10.1109/CVPR.2019.00350.

Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

W. Xu; A. Chatterjee; M. Zollhofer; H. Rhodin; P. Fua et al. 

IEEE Transactions On Visualization And Computer Graphics. 2019-05-01. Vol. 25, num. 5, p. 2093-2101. DOI : 10.1109/TVCG.2019.2898650.

Geometry in active learning for binary and multi-class image segmentation

K. Konyushkova; R. Sznitman; P. Fua 

Computer Vision And Image Understanding (CVIU). 2019-05-01. Vol. 182, p. 1-16. DOI : 10.1016/j.cviu.2019.01.007.

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

B. Fan; Q. Kong; X. Wang; Z. Wang; S. Xiang et al. 

IEEE Transactions on Image Processing. 2019-04-11. Vol. 28, num. 10, p. 4774-4789. DOI : 10.1109/TIP.2019.2909640.

Memory Efficient Max Flow for Multi-Label Submodular MRFs

T. Ajanthan; R. Hartley; M. Salzmann 

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2019-04-01. Vol. 41, num. 4, p. 886-900. DOI : 10.1109/TPAMI.2018.2819675.

The Sixth Visual Object Tracking VOT2018 Challenge Results

M. Kristan; A. Leonardis; J. Matas; M. Felsberg; R. Pflugfelder et al. 

2019-01-01. 15th European Conference on Computer Vision (ECCV), Munich, GERMANY, Sep 08-14, 2018. p. 3-53. DOI : 10.1007/978-3-030-11009-3_1.

What Face and Body Shapes Can Tell Us About Height

S. Gunel; H. Rhodin; P. Fua 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 1819-1827. DOI : 10.1109/ICCVW.2019.00226.

Double Refinement Network for Efficient Monocular Depth Estimation

N. Durasov; M. Romanov; V. Bubnova; P. Bogomolov; A. Konushin 

2019-01-01. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, PEOPLES R CHINA, Nov 04-08, 2019. p. 5889-5894. DOI : 10.1109/IROS40897.2019.8968227.

Beyond Cartesian Representations for Local Descriptors

P. Ebel; A. Mishchuk; K. M. Yi; P. Fua; E. Trulls 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 253-262. DOI : 10.1109/ICCV.2019.00034.

Joint Learning of Semantic Alignment and Object Landmark Detection

S. Jeon; D. Min; S. Kim; K. Sohn 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 7293-7302. DOI : 10.1109/ICCV.2019.00739.

Learning Trajectory Dependencies for Human Motion Prediction

W. Mao; M. Liu; M. Salzmann; H. Li 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 9488-9496. DOI : 10.1109/ICCV.2019.00958.

Gravity as a Reference for Estimating a Person’s Height from Video

D. Bieler; S. Gunel; P. Fua; H. Rhodin 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8568-8576. DOI : 10.1109/ICCV.2019.00866.

Context-Aware Emotion Recognition Networks

J. Lee; S. Kim; S. Kim; J. Park; K. Sohn 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 10142-10151. DOI : 10.1109/ICCV.2019.01024.

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

E. Gundogdu; V. Constantin; A. Seifoddini; M. Dang; M. Salzmann et al. 

2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8738-8747. DOI : 10.1109/ICCV.2019.00883.

Semantic Attribute Matching Networks

S. Kim; D. Min; S. Jeong; S. Kim; S. Jeon et al. 

2019-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 12331-12340. DOI : 10.1109/CVPR.2019.01262.

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation

S. Kim; S. Kim; D. Min; K. Sohn 

2019-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 205-214. DOI : 10.1109/CVPR.2019.00029.

Backpropagation-Friendly Eigendecomposition

W. Wang; Z. Dang; Y. Hu; P. Fua; M. Salzmann 

2019-01-01. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, Dec 08-14, 2019.

Quadruplet Selection Methods For Deep Embedding Learning

K. Karaman; E. Gundogdu; A. Koc; A. A. Alatan 

2019-01-01. 26th IEEE International Conference on Image Processing (ICIP), Taipei, TAIWAN, Sep 22-25, 2019. p. 3452-3456. DOI : 10.1109/ICIP.2019.8803401.

Shape optimisation of technical devices via gradient descent using convolutional neural network proxies

P. B. Baqué; P. Fua; F. Fleuret 

US11768983; US2021157962; EP3679495; CN111295657; WO2019048085.

2019.

Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation

H. Tang; D. Xu; W. Wang; Y. Yan; N. Sebe 

2019-01-01. 14th Asian Conference on Computer Vision (ACCV), Perth, AUSTRALIA, December 02-06, 2018. p. 3-21. DOI : 10.1007/978-3-030-20887-5_1.

VIENA(2): A Driving Anticipation Dataset

M. S. Aliakbarian; F. S. Saleh; M. Salzmann; B. Fernando; L. Petersson et al. 

2019-01-01. 14th Asian Conference on Computer Vision (ACCV), Perth, AUSTRALIA, Dec 02-06, 2018. p. 449-466. DOI : 10.1007/978-3-030-20887-5_28.

Full-Gradient Representation for Neural Network Visualization

S. Srinivas; F. Fleuret 

2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, Dec 08-14, 2019.

Attribute-Guided Sketch Generation

H. Tang; X. Chen; W. Wang; D. Xu; J. J. Corso et al. 

2019-01-01. 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Lille, FRANCE, May 14-18, 2019. p. 192-198. DOI : 10.1109/FG.2019.8756586.

Temporal Spiking Recurrent Neural Network for Action Recognition

W. Wang; S. Hao; Y. Wei; S. Xia; J. Feng et al. 

IEEE Access. 2019-01-01. Vol. 7, p. 117165-117175. DOI : 10.1109/ACCESS.2019.2936604.

Overcoming Multi-model Forgetting

Y. Benyahia; K. Yu; K. B. Smires; M. Jaggi; A. C. Davison et al. 

2019. ICML 2019 – 36th International Conference on Machine Learning, Long Beach, California, USA, June 09-15, 2019. p. 594-603.

Deep Micro-Dictionary Learning and Coding Network

H. Tang; H. Wei; W. Xiao; W. Wang; D. Xu et al. 

2019-01-01. 19th IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Village, HI, Jan 07-11, 2019. p. 386-395. DOI : 10.1109/WACV.2019.00047.

Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials

T. Joy; A. Desmaison; T. Ajanthan; R. Bunel; M. Salzmann et al. 

Siam Journal On Imaging Sciences. 2019-01-01. Vol. 12, num. 1, p. 287-318. DOI : 10.1137/18M1178104.

Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images

A. J. Mosinska / P. Fua (Dir.)  

Lausanne, EPFL, 2019. 

Training Algorithms for Multiple Object Tracking

A. Maksai / P. Fua (Dir.)  

Lausanne, EPFL, 2019. 

Learning to Reduce Annotation Load

K. Konyushkova / P. Fua; R. Sznitman (Dir.)  

Lausanne, EPFL, 2019. 

Modeling Facial Geometry using Compositional VAEs

T. Bagautdinov; C. Wu; J. Saragih; Y. Sheikh; P. Fua 

2018-06-18. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 3877-3886. DOI : 10.1109/CVPR.2018.00408.

Real-Time Seamless Single Shot 6D Object Pose Prediction

B. Tekin; S. N. Sinha; P. Fua 

2018-06-18. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. p. 292-301. DOI : 10.1109/CVPR.2018.00038.

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

J. Bednarík; M. Salzmann; P. Fua 

2018-03-23. International Conference on 3D Vision, Verona, Italy, September 5-8, 2018.

Learning Latent Representations of 3D Human Pose with Deep Neural Networks

I. Katiricioglu; B. Tekin; M. Salzmann; V. Lepetit; P. Fua 

International Journal of Computer Vision. 2018-01-31. Vol. 126, num. 12, p. 1326-1341. DOI : 10.1007/s11263-018-1066-6.

Method, system, and device for learned invariant feature transform for computer images

P. Fua; V. Lepetit; E. F. Trulls; K. M. Yi 

US10552709; US2018096224.

2018.

3D Box Proposals from a Single Monocular Image of an Indoor Scene

W. Zhuo; M. Salzmann; X. He; M. Liu 

2018-01-01. 32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence, New Orleans, LA, Feb 02-07, 2018. p. 7639-7647. DOI : 10.1609/aaai.v32i1.12314.

Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs

Huu-Giao Nguyen; A. Pica; P. Maeder; A. Schalenbourg; M. Peroni et al. 

2018-01-01. 1st International Workshop on Computational Pathology (COMPAY) / 5th International Workshop on Ophthalmic Medical Image Analysis (OMIA), Granada, SPAIN, Sep 16-20, 2018. p. 167-175. DOI : 10.1007/978-3-030-00949-6_20.

Scale-Adaptive Superpixels

R. Achanta; P. Marquez Neila; P. Fua; S. Süsstrunk 

2018. Color and Imaging Conference (CIC26), Vancouver, Canada, November 12-16, 2018. p. 1-6(6). DOI : 10.2352.

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

W. Wang; X. Alameda-Pineda; D. Xu; P. Fua; E. Ricci et al. 

2018-01-01. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 7083-7092. DOI : 10.1109/CVPR.2018.00740.

Learning to Find Good Correspondences

K. M. Yi; E. Trulls; Y. Ono; V. Lepetit; M. Salzmann et al. 

2018-01-01. Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 2666-2674. DOI : 10.1109/CVPR.2018.00282.

Learning Monocular 3D Human Pose Estimation from Multi-view Images

H. Rhodin; J. Sporri; I. Katircioglu; V. Constantin; F. Meyer et al. 

2018-01-01. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 8437-8446. DOI : 10.1109/CVPR.2018.00880.

Geometry-aware Deep Network for Single-Image Novel View Synthesis

M. Liu; X. He; M. Salzmann 

2018-01-01. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 4616-4624. DOI : 10.1109/CVPR.2018.00485.

LF-Net: Learning Local Features from Images

Y. Ono; E. Trulls Fortuny; P. Fua; K. M. Yi 

2018. Neural Information Processing Systems (NIPS), Montréal Canada,

A Domain-Adaptive Two-Stream U-Net For Electron Microscopy Image Segmentation

R. Bermudez-Chancon; P. Marquez-Neila; M. Salzmann; P. Fua 

2018-01-01. International Symposium on Biomedical Imaging (ISBI), Washington, DC, Apr 04-07, 2018. p. 400-404. DOI : 10.1109/ISBI.2018.8363602.

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

J. Bednarik; P. Fua; M. Salzmann 

2018-01-01. 6th International Conference on 3D Vision (3DV), Verona, ITALY, Sep 05-08, 2018. p. 606-615. DOI : 10.1109/3DV.2018.00075.

The effects of aging on neuropil structure in mouse somatosensory cortex-A 3D electron microscopy analysis of layer 1

C. Cali; M. Wawrzyniak; C. Becker; B. Maco; M. Cantoni et al. 

PLOS ONE. 2018. Vol. 13, num. 7, p. e0198131. DOI : 10.1371/journal.pone.0198131.

Robust 3D Object Tracking from Monocular Images Using Stable Parts

A. Crivellaro; M. Rad; Y. Verdie; K. Yi; P. Fua et al. 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2018. Vol. 40, num. 6, p. 1465-1479. DOI : 10.1109/TPAMI.2017.2708711.

MonoPerfCap: Human Performance Capture From Monocular Video

W. Xu; A. Chatterjee; M. Zollhofer; H. Rhodin; D. Mehta et al. 

ACM Transactions on Graphics. 2018. Vol. 37, num. 2, p. 27. DOI : 10.1145/3181973.

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation

F. Saleh; M. Aliakbarian; M. Salzmann; L. Petersson; J. Alvarez et al. 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2018. Vol. 40, num. 6, p. 1382-1396. DOI : 10.1109/TPAMI.2017.2713785.

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

M. Harandi; M. Salzmann; R. Hartley 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2018. Vol. 40, num. 1, p. 48-62. DOI : 10.1109/TPAMI.2017.2655048.

A versatile calibration procedure for portable coded aperture gamma cameras and RGB-D sensors

V. Paradiso; A. Crivellaro; K. Amgarou; N. de Lanaute; P. Fua et al. 

NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT. 2018. Vol. 886, p. 125-133. DOI : 10.1016/j.nima.2017.12.065.

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

B. Tekin / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2018. 

Learning to Segment 3D Linear Structures Using Only 2D Annotations

M. Kozinski; A. J. Mosinska; M. Salzmann; P. Fua 

2018-01-01. MICCAI, Granada, Spain, September 16-20, 2018. p. 283-291. DOI : 10.1007/978-3-030-00934-2_32.

Statistically-Motivated Second-order Pooling

K. Yu; M. Salzmann 

2018. European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018. p. 621–637. DOI : 10.1007/978-3-030-01234-2_37.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al. 

2018. European Conference on Computer Vision, Munich, Germany, September 8-14, 2018. p. 768-783. DOI : 10.1007/978-3-030-01228-1_47.

Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation

H. Rhodin; M. Salzmann; P. Fua 

2018. European Conference on Computer Vision (ECCV). p. 765–782. DOI : 10.1007/978-3-030-01249-6_46.

Variational Methods for Human Modeling

T. Bagautdinov / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2018. 

Mean-Field methods for Structured Deep-Learning in Computer Vision

P. B. Baqué / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2018. 

Geodesic Convolutional Shape Optimization

P. B. Baqué; E. Remelli; F. Fleuret; P. Fua 

2018. International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018. p. 472-481.

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

A. J. Mosinska; P. Marquez Neila; M. Kozinski; P. Fua 

2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 3136-3145. DOI : 10.1109/CVPR.2018.00331.

A Domain-Adaptive Two-Stream U-Net for Electron Microscopy Image Segmentation

R. Bermúdez Chacón; P. Marquez Neila; M. Salzmann; P. Fua 

2018. International Symposium of Biomedical Imaging (ISBI), Washington DC, USA, April 4-7, 2018. p. 400-404. DOI : 10.1109/ISBI.2018.8363602.

Learning Intelligent Dialogs for Bounding Box Annotation

K. Konyushkova; J. Uijlings; C. H. Lampert; V. Ferrari 

2018. Conference on Computer Vision and Pattern Recognition (CVPR). p. 9175-9184. DOI : 10.1109/CVPR.2018.00956.

Residual Parameter Transfer for Deep Domain Adaptation

A. Rozantsev; M. Salzmann; P. Fua 

2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 4339-4348. DOI : 10.1109/CVPR.2018.00456.

Learning to Find Good Correspondences

K. M. Yi; E. Trulls Fortuny; Y. Ono; V. Lepetit; M. Salzmann et al. 

2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 2666-2674. DOI : 10.1109/CVPR.2018.00282.

Beyond Sharing Weights for Deep Domain Adaptation

A. Rozantsev; M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018. Vol. 41, num. 4, p. 801-814. DOI : 10.1109/TPAMI.2018.2814042.

Imposing Hard Constraints on Deep Networks: Promises and Limitations

P. Marquez Neila; M. Salzmann; P. Fua 

2017. CVPR Workshop on Negative Results in Computer Vision, Hawaii, HI, 2017.

Learning Active Learning from Data

K. Konyushkova; R. Sznitman; P. Fua 

2017. Conference on Neural Information Processing Systems (NIPS).

Efficient Model-free Anthropometry from Depth Data

T. Probst; A. Fossati; M. Salzmann; L. Van Gool 

2017. International Conference on 3D Vision (3DV).

Deep Subspace Clustering Networks

P. Ji; T. Zhang; H. Li; M. Salzmann; I. Reid 

2017. Neural Information Processing Systems (NIPS).

Compression-aware Training of Deep Networks

J. Alvarez; M. Salzmann 

2017. Neural Information Processing Systems (NIPS).

Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images

R. Gala; D. Lebrecht; D. A. Sahlender; A. Jorstad; G. Knott et al. 

Elife. 2017. Vol. 6, p. e29315. DOI : 10.7554/eLife.29315.

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence

P. Fua; V. Lepetit; A. Rozantsev; B. Tekin 

US2017316578.

2017.

Geometric Graph Matching Using Monte Carlo Tree Search

M. A. Pinheiro; J. Kybic; P. Fua 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. Vol. 39, num. 11, p. 2171-2185. DOI : 10.1109/Tpami.2016.2636200.

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

T. Kurmann; P. Marquez Neila; X. Du; P. Fua; D. Stoyanov et al. 

2017. International Conference on Medical Image Computing and Computer-Assisted Intervention (MCCAI), Quebec, Canada,

Tilt-less 3-D electron imaging and reconstruction of complex curvilinear structures

E. Oveisi; A. Letouzey; D. Alexander; Q. Jeangros; R. Schäublin et al. 

Scientific Reports. 2017. Vol. 7, p. 10630. DOI : 10.1038/s41598-017-07537-6.

Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM

E. Oveisi; A. Letouzey; S. De Zanet; G. Lucas; M. Cantoni et al. 

Ultramicroscopy. 2017. Vol. 184A, p. 116-124. DOI : 10.1016/j.ultramic.2017.08.010.

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation

B. Tekin; P. Marquez Neila; M. Salzmann; P. Fua 

2017. International Conference on Computer Vision (ICCV). p. 3961-3970. DOI : 10.1109/ICCV.2017.425.

Encouraging LSTMs to Anticipate Actions Very Early

M. S. Aliakbarian; F. S. Saleh; M. Salzmann; B. Fernando; L. Petersson et al. 

2017. International Conference on Computer Vision (ICCV). p. 280-289. DOI : 10.1109/ICCV.2017.39.

Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation

F. S. Saleh; M. S. Aliakbarian; M. Salzmann; L. Petersson; J. M. Alvarez 

2017. International Conference on Computer Vision (ICCV). p. 2125-2135. DOI : 10.1109/ICCV.2017.232.

Three-dimensional electron imaging and reconstruction of dislocations from a single acquisition

E. Oveisi; A. Letouzey; P. Fua; C. Hébert 

2017. Microscopy Conference, Lausanne, Switzerland,

Computer Vision Techniques Applied to the Reconstruction of the 3-D Structure of Dislocations

E. Oveisi; S. De Zanet; P. Fua; C. Hébert 

2017. Microscopy & Microanalysis, St Louis, MO, USA, 2017. p. 102-103. DOI : 10.1017/S1431927617001192.

Active Learning and Proofreading for Delineation of Curvilinear Structures

A. J. Mosinska; J. Tarnawski; P. Fua 

2017. MICCAI, Quebec City, Canada, September 10-14, 2017. p. 165–173. DOI : 10.1007/978-3-319-66185-8_19.

Learning Lightprobes for Mixed Reality Illumination

D. Mandl; K. M. Yi; P. Mohr; P. Roth; P. Fua et al. 

2017. International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, October 9–13, 2017.

Multi-Modal Mean-Fields via Cardinality-Based Clamping

P. Baqué; F. Fleuret; P. Fua 

2017. Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii, USA, July 21-26, 2017. p. 4303-4312. DOI : 10.1109/Cvpr.2017.458.

Joint Dimensionality Reduction and Metric Learning: A Geometric Take

M. Harandi; M. Salzmann; R. Hartley 

2017. International Conference on Machine Learning (ICML).

Vision-based detection of aircrafts and UAVs

A. Rozantsev / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2017. 

Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference

W. Zhuo; M. Salzmann; X. He; M. Liu 

2017. Conference on Computer Vision and Pattern Recognition. p. 6269-6275. DOI : 10.1109/Cvpr.2017.664.

Efficient Linear Programming for Dense CRFs

A. Thalaiyasingam; A. Desmaison; R. Bunel; M. Salzmann; P. H. S. Torr et al. 

2017. Conference on Computer Vision and Pattern Recognition, Honolulu, HI, July, 2018. p. 2934-2942. DOI : 10.1109/CVPR.2017.313.

Boundary-aware Instance Segmentation

Z. Hayder; X. He; M. Salzmann 

2017. Conference on Computer Vision and Pattern Recognition (CVPR). p. 587-595. DOI : 10.1109/Cvpr.2017.70.

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

A. Rozantsev; S. Sinha; D. Dey; P. Fua 

2017. Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July, 2017. p. 2482-2491. DOI : 10.1109/Cvpr.2017.266.

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

P. Glowacki; M. Pinheiro; A. Mosinska; E. Türetken; D. Lebrecht et al. 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. Vol. 40, num. 3, p. 755-761. DOI : 10.1109/TPAMI.2017.2680444.

Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences

E. Türetken; X. Wang; C. J. Becker; C. Haubold; P. Fua 

Transactions on Medical Imaging (TMI). 2017. Vol. 36, num. 4, p. 942-951. DOI : 10.1109/Tmi.2016.2640859.

Detecting Flying Objects using a Single Moving Camera

A. Rozantsev; V. Lepetit; P. Fua 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. Vol. 39, p. 879-892. DOI : 10.1109/TPAMI.2016.2564408.

Three-dimensional electron imaging of dislocations from a single sample tilt

E. Oveisi; A. Letouzey; P. Fua; C. Hébert 

2016. The 16th European Microscopy Congress 2016, Lyon, France, 28 August – 2 September, 2016. DOI : 10.1002/9783527808465.

Systems and methods for computing and displaying navigation indicators based on historic and real-time vessel data

J. V. Pilet; J. O. M. Östlund 

US2018031376; WO2016128069.

2016.

Distribution-Matching Embedding for Visual Domain Adaptation

M. Baktashmotlagh; M. Harandi; M. Salzmann 

Journal Of Machine Learning Research. 2016. Vol. 17, p. 108.

Do We Need Binary Features for 3D Reconstruction?

B. Fan; Q. Kong; W. Sui; Z. Wang; X. Wang et al. 

2016. Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas, NV, June, 2016. p. 1126-1135. DOI : 10.1109/Cvprw.2016.144.

Measuring the accuracy of softball impact simulations

L. Smith; D. Nevins; N. T. Dat; P. Fua 

Sports Engineering. 2016. Vol. 19, num. 4, p. 265-272. DOI : 10.1007/s12283-016-0210-1.

Segmentation of Developing Human Embryo in Time-lapse Microscopy

A. Khan; S. Gould; M. Salzmann 

2016. 13th International Symposium on Biomedical Imaging (ISBI). p. 930-934. DOI : 10.1109/ISBI.2016.7493417.

Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures

A. Sironi / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2016. 

Robust 3D Object Pose Estimation and Tracking from Monocular Images in Industrial Environments

A. Crivellaro / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2016. 

Learning the Number of Neurons in Deep Networks

J. M. Alvarez; M. Salzmann 

2016. Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain,

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

D. Robben; E. Tueretken; S. Sunaert; V. Thijs; G. Wilms et al. 

Medical Image Analysis. 2016. Vol. 32, p. 201-215. DOI : 10.1016/j.media.2016.03.006.

Exploiting Large Image Sets for Road Scene Parsing

J. M. Alvarez; M. Salzmann; N. Barnes 

IEEE Transactions on Intelligent Transportation Systems. 2016. Vol. 17, num. 9, p. 2456-2465. DOI : 10.1109/Tits.2016.2522506.

Efficient Transductive Semantic Segmentation

J. M. Alvarez; M. Salzmann; N. Barnes 

2016. Winter Conference on Applications of Computer Vision (WACV). DOI : 10.1109/WACV.2016.7477697.

LIFT: Learned Invariant Feature Transform

K. M. Yi; E. Trulls Fortuny; V. Lepetit; P. Fua 

2016. European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 8-16, 2016. p. 467-483. DOI : 10.1007/978-3-319-46466-4_28.

Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems

K. R. Sapkota; S. A. Roelofsen; A. Rozantsev; V. Lepetit; D. Gillet et al. 

2016. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, October 9-14, 2016. p. 1556-1561. DOI : 10.1109/IROS.2016.7759252.

Scalable Unsupervised Domain Adaptation for Electron Microscopy

R. Bermúdez-Chacón; C. Becker; M. Salzmann; P. Fua 

2016. MICCAI 2016, Athens, Greece, October 17-21, 2016. p. 326–334. DOI : 10.1007/978-3-319-46723-8_38.

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

F. Saleh; M. S. Ali Akbarian; M. Salzmann; L. Petersson; S. Gould et al. 

2016. European Conference on Computer Vision (ECCV), Amsterdam, p. 413-432. DOI : 10.1007/978-3-319-46484-8_25.

Template-free 3D Reconstruction of Poorly-textured Nonrigid Surfaces

X. Wang; M. Salzmann; F. Wang; J. Zhao 

2016. European Conference on Computer Vision (ECCV), Amsterdam, p. 648-663. DOI : 10.1007/978-3-319-46478-7_40.

Building Scene Models by Completing and Hallucinating Depth and Semantics

M. Liu; X. He; M. Salzmann 

2016. European Conference on Computer Vision (ECCV), Amsterdam, p. 258-274. DOI : 10.1007/978-3-319-46466-4_16.

Structured Prediction of 3D Human Pose with Deep Neural Networks

B. Tekin; I. Katircioglu; M. Salzmann; V. Lepetit; P. Fua 

2016. British Machine Vision Conference (BMVC), York, UK, September 19-22, 2016. p. 130.1-130.11. DOI : 10.5244/C.30.130.

Parsing human skeletons in an operating room

V. Belagiannis; X. Wang; H. B. Ben Shitrit; K. Hashimoto; R. Stauder et al. 

Machine Vision and Applications. 2016. Vol. 27, num. 7, p. 1035-1046. DOI : 10.1007/s00138-016-0792-4.

Towards Scalable Segmentation of 3D Image Stacks

C. J. Becker / P. Fua (Dir.)  

Lausanne, EPFL, 2016. 

Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques

J. VanHaaren; H. Ben Shitrit; J. Davis; P. Fua 

2016. Conference on Knowledge Discovery and Data Mining, San Francisco, CA, August, 2016. p. 627–634. DOI : 10.1145/2939672.2939725.

Memory Efficient Max Flow for Multi-label Submodular MRFs

A. Thalaiyasingam; R. Hartley; M. Salzmann 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, AZ, p. 5867-5876. DOI : 10.1109/CVPR.2016.632.

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering

M. Najafi; S. Taghavi Namin; M. Salzmann; L. Petersson 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, AZ, p. 607-615. DOI : 10.1109/CVPR.2016.72.

Robust Multi-body Feature Tracker: A Segmentation-free Approach

P. Ji; H. Li; M. Salzmann; Y. Zhong 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, AZ, p. 3843-3851. DOI : 10.1109/CVPR.2016.417.

When VLAD met Hilbert

M. Harandi; M. Salzmann; F. Porikli 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, AZ, p. 5185-5194. DOI : 10.1109/CVPR.2016.560.

Learning to Co-Generate Object Proposals with a Deep Structured Network

Z. Hayder; X. He; M. Salzmann 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, AZ, p. 2565-2573. DOI : 10.1109/CVPR.2016.281.

Learning to Assign Orientations to Feature Points

K. M. Yi; Y. Verdie; P. Fua; V. Lepetit 

2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016. p. 107-116. DOI : 10.1109/CVPR.2016.19.

Learning to Match Aerial Images with Deep Attentive Architectures

H. Altwaijry; E. Trulls; J. Hays; P. Fua; S. Belongie 

2016. Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, June 27-30, 2016. p. 3539-3547. DOI : 10.1109/CVPR.2016.385.

Active Learning for Delineation of Curvilinear Structures

A. Mosinska-Domanska; R. Sznitman; P. Glowacki; P. Fua 

2016. Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, 2016. p. 5231-5239. DOI : 10.1109/CVPR.2016.565.

Direct Prediction of 3D Body Poses from Motion Compensated Sequences

B. Tekin; A. Rozantsev; V. Lepetit; P. Fua 

2016. Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016. p. 991-1000. DOI : 10.1109/CVPR.2016.113.

What Players do with the Ball: A Physically Constrained Interaction Modeling

A. Maksai; X. Wang; P. Fua 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Jun 26 – Jul 1 2016. p. 972-981. DOI : 10.1109/CVPR.2016.111.

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

T. D. Ngo / P. Fua (Dir.)  

Lausanne, EPFL, 2016. 

Automated Reconstruction of Evolving Curvilinear Tree Structures

P. R. Głowacki / P. Fua (Dir.)  

Lausanne, EPFL, 2016. 

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model

H. Jeong; Y. Yoo; K. M. Yi; J. Y. Choi 

Theory and Applications of Smart Cameras; Springer Netherlands, 2016. p. 215-240.

Globally Optimal Cell Tracking using Integer Programming

E. Türetken; X. Wang; C. J. Becker; C. Haubold; P. Fua 

2016

Principled Parallel Mean-Field Inference for Discrete Random Fields

P. B. Baqué; T. Bagautdinov; F. Fleuret; P. Fua 

2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas, p. 5848-5857. DOI : 10.1109/CVPR.2016.630.

Computer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling

O. Pertz; L. Fusco; R. Lefort; K. C. Smith; F. Benmansour et al. 

Journal of Cell Biology. 2016. Vol. 212, num. 1, p. 91-111. DOI : 10.1083/jcb.201506018.

Tracking Interacting Objects Using Intertwined Flows

X. Wang; E. Türetken; F. Fleuret; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. Vol. 38, num. 11, p. 2312–2326. DOI : 10.1109/Tpami.2015.2513406.

Multiscale Centerline Detection

A. Sironi; E. Türetken; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. Vol. 38, num. 7, p. 1327–1341. DOI : 10.1109/Tpami.2015.2462363.

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

E. Türetken; F. Benmansour; B. Andres; P. R. Glowacki; H. Pfister et al. 

IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2016. Vol. 38, num. 12, p. 2515–2530. DOI : 10.1109/Tpami.2016.2519025.

Template-based Monocular 3D Shape Recovery using Laplacian Meshes

T. D. Ngo; J. Östlund; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. Vol. 38, num. 1, p. 172-187. DOI : 10.1109/Tpami.2015.2435739.

Systems and methods for tracking interacting objects

E. Turetken; P. Fua; F. Fleuret; X. Wang 

US9794525; US2015281655.

2015.

Special Section: Pose & Gesture

B. Stenger; N. Ukita; Y. Sato; P. Fua; D. Fleet 

Computer Vision And Image Understanding. 2015. Vol. 141, p. 94-94. DOI : 10.1016/j.cviu.2015.10.011.

Authoring and Living Next-Generation Location-Based Experiences

J. Castet; O. Balet; B. Koleva; J. Grubert; K. M. Yi et al. 

2015. IEEE Virtual Reality, 2015.

Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception

H. Jeong; S. Yun; K. M. Yi; J. Y. Choi 

2015. 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 5-9 Jan. 2015. p. 829-836. DOI : 10.1109/WACV.2015.115.

Kullback-Leibler Proximal Variational Inference

M. E. Khan; P. B. Baqué; F. Fleuret; P. Fua 

2015. Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, December 9, 2015. p. 3402-3410.

Progressive Geometric Algorithms

S. P. A. Alewijnse; T. M. Bagautdinov; M. De Berg; Q. W. Bouts; A. P. Ten Brink et al. 

Journal Of Computational Geometry. 2015. Vol. 6, num. 2, p. 72-92. DOI : 10.20382/jocg.v6i2a5.

Discriminative Learning of Deep Convolutional Feature Point Descriptors

E. Simo-Serra; E. Trulls; L. Ferraz; I. Kokkinos; P. Fua et al. 

2015. International Conference on Computer Vision, Santiago, Chile, December 13-16, 2015. p. 118-126. DOI : 10.1109/ICCV.2015.22.

Introducing Geometry in Active Learning for Image Segmentation

K. Konyushkova; R. Sznitman; P. Fua 

2015. international conference in Computer Vision, Santiago, Chile, December 13-16, 2015. p. 2974-2982. DOI : 10.1109/ICCV.2015.340.

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

A. Crivellaro; M. Rad; Y. Verdie; K. M. Yi; P. Fua et al. 

2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015. p. 4391–4399. DOI : 10.1109/ICCV.2015.499.

Delayed and Temporally Imprecise Neurotransmission in Reorganizing Cortical Microcircuits

S. J. Barnes; C. E. Cheetham; Y. Liu; S. H. Bennett; G. Albieri et al. 

Journal Of Neuroscience. 2015. Vol. 35, num. 24, p. 9024-9037. DOI : 10.1523/Jneurosci.4583-14.2015.

Projection onto the Manifold of Elongated Structures for Accurate Extraction

A. Sironi; V. Lepetit; P. Fua 

2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015. p. 316-324. DOI : 10.1109/ICCV.2015.44.

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

T. D. Ngo; S. Park; A. A. Jorstad; A. Crivellaro; C. Yoo et al. 

2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015. p. 2273-2281. DOI : 10.1109/ICCV.2015.262.

Localizing Polygonal Objects in Man-Made Environments

X. Sun / P. Fua (Dir.)  

Lausanne, EPFL, 2015. 

Live Texturing of Augmented Reality Characters from Colored Drawings

S. Magnenat; T. D. Ngo; F. Zund; M. Ryffel; G. Noris et al. 

IEEE Transactions on Visualization and Computer Graphics. 2015. Vol. 22, num. 11, p. 1201-1210. DOI : 10.1109/Tvcg.2015.2459871.

Visual Tracking in Complex Scenes Through Pixel-Wise Tri-Modeling

K. M. Yi; H. Jeong; B. Lee; J. Y. Choi 

Machine Vision and Applications. 2015. Vol. 26, p. 205-217. DOI : 10.1007/s00138-015-0658-1.

Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion

K. M. Yi; H. Jeong; S. W. Kim; S. Yin; S. Oh et al. 

Image and Vision Computing. 2015. Vol. 39, p. 23-37. DOI : 10.1016/j.imavis.2015.04.007.

Tracking Interacting Objects in Image Sequences

X. Wang / P. Fua (Dir.)  

Lausanne, EPFL, 2015. 

LOD Generation for Urban Scenes

Y. Verdie; F. Lafarge; P. Alliez 

ACM Transactions on Graphics. 2015. Vol. 34, num. 3, p. 30. DOI : 10.1145/2732527.

TILDE: A Temporally Invariant Learned DEtector

Y. Verdie; K. M. Yi; P. Fua; V. Lepetit 

2015. Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, p. 5279-5288. DOI : 10.1109/CVPR.2015.7299165.

Modeling Brain Circuitry over a Wide Range of Scales

P. Fua; G. Knott 

Frontiers in Neuroanatomy. 2015. Vol. 9, p. 42. DOI : 10.3389/fnana.2015.00042.

Flying Objects Detection from a Single Moving Camera

A. Rozantsev; V. Lepetit; P. Fua 

2015. Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015. p. 4128-4136. DOI : 10.1109/CVPR.2015.7299040.

Probability Occupancy Maps for Occluded Depth Images

T. Bagautdinov; F. Fleuret; P. Fua 

2015. Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015. p. 2829-2837. DOI : 10.1109/CVPR.2015.7298900.

Development of a Localization System Based on VLC Technique for an Indoor Environment

K. Y. Yi; D. Y. Kim; K. M. Yi 

Journal Of Electrical Engineering & Technology. 2015. Vol. 10, num. 1, p. 436-442. DOI : 10.5370/Jeet.2015.10.1.436.

Detecting and Tracking Cells using Network Flow Programming

E. Türetken; X. Wang; C. J. Becker; P. Fua 

2015

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua 

Computer Vision and Image Understanding. 2015. Vol. 137, p. 24-37. DOI : 10.1016/j.cviu.2014.12.006.

Learning Structured Models for Segmentation of 2D and 3D Imagery

A. Lucchi; P. Márquez-Neila; C. Becker; Y. Li; K. Smith et al. 

IEEE Transactions on Medical Imaging. 2015. Vol. 34, num. 5, p. 1096-1110. DOI : 10.1109/TMI.2014.2376274.

Domain Adaptation for Microscopy Imaging

C. J. Becker; C. M. Christoudias; P. Fua 

IEEE Transactions on Medical Imaging. 2015. Vol. 34, num. 5, p. 1125-1139. DOI : 10.1109/Tmi.2014.2376872.

NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks

A. Jorstad; B. Nigro; C. Cali; M. Wawrzyniak; P. Fua et al. 

Neuroinformatics. 2015. Vol. 13, num. 1, p. 83-92. DOI : 10.1007/s12021-014-9242-5.

Learning Separable Filters

A. Sironi; B. Tekin; R. Rigamonti; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. Vol. 37, num. 1, p. 94-106. DOI : 10.1109/Tpami.2014.2343229.

Non-Rigid Graph Registration using Active Testing Search

E. Serradell; M. Pinheiro; R. Sznitman; J. Kybic; F. Moreno-Noguer et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. Vol. 37, num. 3, p. 625-638. DOI : 10.1109/TPAMI.2014.2343235.

Learning Image Descriptors with Boosting

T. Trzcinski; C. M. Christoudias; V. Lepetit 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. Vol. 37, num. 3, p. 597-610. DOI : 10.1109/TPAMI.2014.2343961.

Efficient scanning for em based target localization

P. Fua; G. Knott; R. Sznitman; A. Lucchi 

WO2014001157; US8588509.

2014.

Scale preserving PTZ tracking with size estimation using tilt sensory data

B. J. Lee; K. M. Yi 

2014. 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Seoul, Korea, August 26-29, 2014. p. 289-294. DOI : 10.1109/AVSS.2014.6918683.

Two-stage online inference model for traffic pattern analysis and anomaly detection

H. Jeong; Y. Yoo; K. M. Yi; J. Y. Choi 

Machine Vision and Applications. 2014. Vol. 25, num. 6, p. 1501-1517. DOI : 10.​1007/​s00138-014-0629-y.

Motion Interaction Field for Accident Detection in Traffic Surveillance Video

K. Yun; H. Jeong; K. M. Yi; S. W. Kim; J. Y. Choi 

2014. 2nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 24-28, 2014. DOI : 10.1109/ICPR.2014.528.

[DEMO] Tracking Texture-less, Shiny Objects with Descriptor Fields

A. Crivellaro; Y. Verdie; K. M. Yi; P. Fua; V. Lepetit 

2014. International Symposium on Mixed and Augmented Reality (ISMAR), Munich, 2014. p. 331-332. DOI : 10.1109/ISMAR.2014.6948474.

Pose Estimation of Web-Shared Landscape Pictures

T. Produit; D. Tuia; V. Lepetit; F. Golay 

2014. Photogrammetric Computer Vision, Zürich, September 5-7,2014.

Correlative In Vivo 2-Photon Beam Scanning Electron Microscopy: 3D Analysis of Neuronal Ultrastructure

B. Maco; A. Holtmaat; A. Jorstad; P. Fua; G. Knott 

Correlative Light And Electron Microscopy II; San Diego: Elsevier Academic Press Inc, 2014. p. 339-361.

Refining Mitochondria Segmentation in Electron Microscopy Imagery with Active Surfaces

A. Jorstad; P. Fua 

2014. European Conference on Computer Vision (ECCV) Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Zurich, Switzerland, September 6-12, 2014. p. 367-379. DOI : 10.1007/978-3-319-16220-1_26.

Semiautomated correlative 3D electron microscopy of in vivo-imaged axons and dendrites

B. Maco; M. Cantoni; A. Holtmaat; A. Kreshuk; F. A. Hamprecht et al. 

Nature Protocols. 2014. Vol. 9, num. 6, p. 1354-1366. DOI : 10.1038/nprot.2014.101.

Dendritic tree extraction from noisy maximum intensity projection images in C-elegans

A. Greenblum; R. Sznitman; P. Fua; P. E. Arratia; M. Oren et al. 

Biomedical Engineering Online. 2014. Vol. 13, p. 74. DOI : 10.1186/1475-925X-13-74.

Learning and Matching Binary Local Feature Descriptors

T. P. Trzciński / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2014. 

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

V. Belagiannis; X. Wang; B. Schiele; P. Fua; S. Ilic et al. 

2014. European Conference on Computer Vision, ChaLearn Looking at People Workshop, Zurich, Switzerland, September 6-12, 2014. p. 742-754. DOI : 10.1007/978-3-319-16178-5_52.

Free-Shape Polygonal Object Localization

X. Sun; C. M. Christoudias; P. Fua 

2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sep 6-12, 2014. p. 317-332. DOI : 10.1007/978-3-319-10599-4_21.

Tracking Interacting Objects Optimally Using Integer Programming

X. Wang; E. Türetken; F. Fleuret; P. Fua 

2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12, 2014. p. 17-32. DOI : 10.1007/978-3-319-10590-1_2.

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua 

2014

Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation

A. Lucchi; C. J. Becker; P. Marquez Neila; P. Fua 

2014. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 2014.

Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature

D. Robben; E. Türetken; S. Sunaert; V. Thijs; G. Wilms et al. 

2014. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Boston, Massachusetts, USA, Sep. 14-19, 2014.

Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery

R. Sznitman; C. J. Becker; P. Fua 

2014. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 14-18, 2014. p. 692-699. DOI : 10.1007/978-3-319-10470-6_86.

Receptive Fields Selection for Binary Feature Description

B. Fan; Q. Kong; T. Trzcinski; Z. Wang; C. Pan et al. 

IEEE Transactions on Image Processing. 2014. Vol. 23, num. 6, p. 2583-2595. DOI : 10.1109/TIP.2014.2317981.

Reconstructing Evolving Tree Structures in Time Lapse Sequences

P. Glowacki; M. Pinheiro; E. Türetken; R. Sznitman; D. Lebrecht et al. 

2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 2014. p. 3035-3042. DOI : 10.1109/CVPR.2014.388.

Robust 3D Tracking with Descriptor Fields

A. Crivellaro; V. Lepetit 

2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 23-28, 2014. p. 3414-3421. DOI : 10.1109/CVPR.2014.436.

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

A. Sironi; V. Lepetit; P. Fua 

2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 24-27, 2014. p. 2697-2704. DOI : 10.1109/CVPR.2014.351.

The Relationship between PSD-95 Clustering and Spine Stability In Vivo

M. Cane; B. Maco; G. Knott; A. Holtmaat 

Journal Of Neuroscience. 2014. Vol. 34, num. 6, p. 2075-2086. DOI : 10.1523/Jneurosci.3353-13.2014.

On the Relevance of Sparsity for Image Classification

R. Rigamonti; V. Lepetit; G. González; E. Türetken; F. Benmansour et al. 

Computer Vision and Image Understanding. 2014. Vol. 125, p. 115-127. DOI : 10.1016/j.cviu.2014.03.009.

Dense Methods for Image Alignment with an Application to 3D Tracking

A. Crivellaro; P. Fua; V. Lepetit 

2014

Real-time landing place assessment in man-made environments

X. Sun; C. M. Christoudias; V. Lepetit; P. Fua 

Machine Vision And Applications. 2014. Vol. 25, num. 1, p. 211-227. DOI : 10.1007/s00138-013-0560-7.

Identity-Preserving Multiple People Tracking

H. B. Ben Shitrit / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2014. 

Caenorhabditis elegant segmentation using texture-based models for motility phenotyping

R. Sznitman; A. Greenblum; P. Fua; P. Arratia; J. Sznitman 

IEEE Transactions on Biomedical Engineering. 2014. Vol. 61, num. 8, p. 2278-2289. DOI : 10.1109/Tbme.2014.2298612.

Better features for image categorization and segmentation

R. Rigamonti / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2014. 

Object Classification and Detection in High Dimensional Feature Space

C. Dubout / F. Fleuret (Dir.)  

Lausanne, EPFL, 2014. 

Re-Identification for Improved People Tracking

F. Fleuret; H. Ben Shitrit; P. Fua 

Person Re-Identification; Springer, 2014. p. 309-330.

Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play

X. Wang; V. H. Ablavsky; H. Ben Shitrit; P. Fua 

Computer Vision and Image Understanding. 2014. Vol. 119, p. 102-115. DOI : 10.1016/j.cviu.2013.11.010.

Multi-Commodity Network Flow for Tracking Multiple People

H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. Vol. 36, num. 8, p. 1614-1627. DOI : 10.1109/Tpami.2013.210.

Method and apparatus for multiple object tracking with k-shortest paths

F. Fleuret; J. Berclaz; E. Tueretken; P. Fua; F. Fleuret 

US8615107; US2013177200.

2013.

Learning Separable Filters with Shared Parts

B. Tekin 

2013.

TPAMI CVPR Special Section

P. F. Felzenszwalb; D. A. Forsyth; P. Fua; T. E. Boult 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. Vol. 35, num. 12, p. 2819-2820. DOI : 10.1109/TPAMI.2013.208.

Tracking Multiple Handball Players using Multi-Commodity Network Flow for Assessing Tactical Behavior

A. Lopes; J. Florêncio; H. Ben Shitrit; P. Fua; S. Fonseca 

2013. Scientific Conference Women and Handball: Scientific and Practical Approaches, Vienna, Austria, November, 2013.

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery using Multi-Directional Oriented Flux

E. Türetken; C. Becker; P. Glowacki; F. Benmansour; P. Fua 

2013. International Conference on Computer Vision (ICCV), Sydney, Australia, December, 2013. p. 1553-1560. DOI : 10.1109/ICCV.2013.196.

Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery

E. Türetken / P. Fua (Dir.)  

Lausanne, EPFL, 2013. 

Keypoint Recognition using Random Forests and Random Ferns

V. Lepetit; P. Fua 

Decision Forests for Computer Vision and Medical Image Analysis; Springer, 2013. p. 111-124.

Non-Linear Domain Adaptation with Boosting

C. J. Becker; C. M. Christoudias; P. Fua 

2013. Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, December 5-8, 2013.

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

A. Lucchi / P. Fua (Dir.)  

Lausanne, EPFL, 2013. 

Supervised Feature Learning for Curvilinear Structure Segmentation

C. J. Becker; R. Rigamonti; V. Lepetit; P. Fua 

2013. International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013. p. 526-533. DOI : 10.1007/978-3-642-40811-3_66.

Facial Descriptors for Identity-Preserving Multiple People Tracking

M. Zervos; H. BenShitrit; F. Fleuret; P. Fua 

2013

Active Testing Search for Point Cloud Matching

M. A. Pinheiro; R. Sznitman; M. Serradell; J. Kybic; F. Moreno-Nogue et al. 

2013. International Conference on Information Processing in Medical Imaging (IPMI), Asilomar, California, USA, June 28, 2013. p. 572-583. DOI : 10.1007/978-3-642-38868-2_48.

Flash Scanning Electron Microscopy

R. Sznitman; A. Lucchi; M. Cantoni; G. Knott; P. Fua 

2013. 16th Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013.

Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People

H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua 

EP2780871; EP2780871; WO2013072401; WO2013072401.

2013.

Unified Detection and Tracking of Instruments during Retinal Microsurgery

R. Sznitman; R. Richa; R. H. Taylor; B. Jedynak; G. D. Hager 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. Vol. 35, num. 5, p. 1263-1273. DOI : 10.1109/Tpami.2012.209.

Boosting Binary Keypoint Descriptors

T. Trzcinski; C. M. Christoudias; P. Fua; V. Lepetit 

2013. Computer Vision and Pattern Recognition (CVPR), Portland, USA, p. 2874-2881. DOI : 10.1109/Cvpr.2013.370.

Reconstructing Loopy Curvilinear Structures Using Integer Programming

E. Türetken; F. Benmansour; B. Andres; H. Pfister; P. Fua 

2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June, 2013. DOI : 10.1109/Cvpr.2013.238.

Altered Synaptic Dynamics during Normal Brain Aging

R. Mostany; J. E. Anstey; K. L. Crump; B. Maco; G. Knott et al. 

Journal Of Neuroscience. 2013. Vol. 33, num. 9, p. 4094-4104. DOI : 10.1523/Jneurosci.4825-12.2013.

Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

A. Lucchi; Y. Li; P. Fua 

2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 23-28, 2013. DOI : 10.1109/Cvpr.2013.259.

Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG

A. Rozantsev; C. M. Christoudias; V. Lepetit; P. Fua 

2013

Fast Object Detection with Entropy-Driven Evaluation

R. Sznitman; C. J. Becker; F. Fleuret; P. Fua 

2013. Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 23-28, 2013. p. 3270-3277. DOI : 10.1109/CVPR.2013.420.

Learning Separable Filters

R. Rigamonti; A. Sironi; V. Lepetit; P. Fua 

2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 25-27, 2013. p. 2754-2761. DOI : 10.1109/Cvpr.2013.355.

An Optimal Policy for Target Localization with Application to Electron Microscopy

R. Sznitman; A. Lucchi; P. I. Frazier; B. M. Jedynak; P. Fua 

2013. International Conference on Machine Learning (ICML), Atlanta, GA, USA, June 16-21, 2013. p. 1-9.

Multi-camera face detection and recognition applied to people tracking

M. Zervos 

2013.

Learning Context Cues for Synapse Segmentation

C. J. Becker; K. Ali; G. Knott; P. Fua 

IEEE Transactions on Medical Imaging. 2013. Vol. 32, num. 10, p. 1864–1877. DOI : 10.1109/Tmi.2013.2267747.

Tubular Geodesics using Oriented Flux: An ITK Implementation

F. Benmansour; E. Türetken; P. Fua 

Insight Journal. 2013. 

KernelBoost: Supervised Learning of Image Features For Classification

C. J. Becker; R. Rigamonti; V. Lepetit; P. Fua 

2013

Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks

E. Türetken; F. Benmansour; P. Fua 

2013

Tracking Multiple Players using a Single Camera

H. Ben Shitrit; M. Raca; F. Fleuret; P. Fua 

Machine Vision and Applications. 2013. 

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

F. Moreno Noguer; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. Vol. 35, num. 2, p. 463-475. DOI : 10.1109/Tpami.2012.102.

Worldwide Pose Estimation Using 3D Point Clouds

Y. LI; N. Snavely; D. Huttenlocher; P. Fua 

2012. European Conference on Computer Vision (ECCV), Florence, Italy, October, 2012. p. 15–29. DOI : 10.1007/978-3-642-33718-5_2.

3-D Head Tracking via Invariant Keypoint Learning

H. Wang; F. Davoine; V. Lepetit; C. Chaillou; C. Pan 

Ieee Transactions On Circuits And Systems For Video Technology. 2012. Vol. 22, num. 8, p. 1113-1126. DOI : 10.1109/Tcsvt.2012.2190474.

A Novel Image-based Tool to Reunite Children With Their Families After Disasters

S. Chung; C. M. Christoudias; T. Darrell; S. I. Ziniel; L. A. Kalish 

Academic Emergency Medicine. 2012. Vol. 19, num. 11, p. 1227-1234. DOI : 10.1111/acem.12013.

Learning Image Descriptors with the Boosting-Trick

T. Trzcinski; C. M. Christoudias; V. Lepetit; P. Fua 

2012. NIPS, Lake Tahoe, CA, USA, 2012.

Efficient Discriminative Projections for Compact Binary Descriptors

T. Trzcinski; V. Lepetit 

2012. European Conference on Computer Vision, Florence, Italy, 2012. p. 228–242. DOI : 10.1007/978-3-642-33718-5_17.

Pose estimation of landscape images using DEM and orthophotos

T. Produit; D. Tuia; F. Golay; C. Strecha 

2012. Int. Conference on Computer Vision in Remote Sensing CVRS, Xiamen, China.

Real time multi-object tracking using multiple cameras

M. Zervos 

2012.

Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem

S. Mateo; C. Blum; P. Fua; E. Türetken 

2012. International Conference on Swarm Intelligence, Brussels, Belgium, September, 2012.

Transfer Learning by Sharing Support Vectors

V. H. Ablavsky; C. J. Becker; P. Fua 

2012

On the Relevance of Sparsity for Image Classification

R. Rigamonti; V. Lepetit; G. González Serrano; E. Türetken; F. Benmansour et al. 

2012

Thick Boundaries in Binary Space and Their Influence on Nearest-Neighbor Search

T. Trzcinski; V. Lepetit; P. Fua 

Pattern Recognition Letters. 2012. Vol. 33, p. 2173-2180. DOI : 10.1016/j.patrec.2012.08.006.

Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces

A. Varol / P. Fua (Dir.)  

Lausanne, EPFL, 2012. 

Handling Motion-Blur in 3D Tracking and Rendering for Augmented Reality

Y. Park; V. Lepetit; W. Woo 

Ieee Transactions On Visualization And Computer Graphics. 2012. Vol. 18, p. 1449-1459. DOI : 10.1109/TVCG.2011.158.

Data-Driven Visual Tracking in Retinal Microsurgery

R. Sznitman; K. Ali; R. Richa; R. Taylor; G. Hager et al. 

2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October, 2012. p. 568-575. DOI : 10.1007/978-3-642-33418-4_70.

Efficient Scanning for EM Based Target Localization

R. Sznitman; A. Lucchi; N. Pjescic-Emedi; G. Knott; P. Fua 

2012. 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Nice, France, October, 2012. p. 337-344. DOI : 10.1007/978-3-642-33454-2_42.

Structured Image Segmentation using Kernelized Features

A. Lucchi; Y. Li; K. Smith; P. Fua 

2012. European Conference on Computer Vision, Florence, Italy, October 2012.

Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters

R. Rigamonti; V. Lepetit 

2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October 1-5, 2012. p. 189-197. DOI : 10.1007/978-3-642-33415-3_24.

Learning Separable Filters

R. Rigamonti; V. Lepetit; P. Fua 

2012

Laplacian Meshes for Monocular 3D Shape Recovery

J. O. M. Östlund; A. Varol; T. D. Ngo; P. Fua 

2012. European Conference on Computer Vision, Florence, October 2012.

Learning Context Cues for Synapse Segmentation in EM Volumes

C. J. Becker; K. Ali; G. Knott; P. Fua 

2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). p. 585-592. DOI : 10.1007/978-3-642-33415-3_72.

SLIC Superpixels Compared to State-of-the-art Superpixel Methods

R. Achanta; A. Shaji; K. Smith; A. Lucchi; P. Fua et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34, num. 11, p. 2274-2282. DOI : 10.1109/TPAMI.2012.120.

Gradient Response Maps for Real-Time Detection of Textureless Objects

S. Hinterstoisser; C. Cagniart; S. Ilic; P. Sturm; N. Navab et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34, num. 5, p. 876-888. DOI : 10.1109/TPAMI.2011.206.

Robust Non-Rigid Registration of 2D and 3D Graphs

E. Serradell; P. Glowacki; J. Kybic; F. Moreno-Noguer; P. Fua 

2012. Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 2012. p. 996-1003. DOI : 10.1109/CVPR.2012.6247776.

Automated Reconstruction of Tree Structures using Path Classifiers and Mixed Integer Programming

E. Türetken; F. Benmansour; P. Fua 

2012. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 16-21, 2012. p. 566-573. DOI : 10.1109/CVPR.2012.6247722.

A Constrained Latent Variable Model

A. Varol; M. Salzmann; P. Fua; R. Urtasun 

2012. IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 16-21, 2012. p. 2248-2255. DOI : 10.1109/CVPR.2012.6247934.

AUTOMATIC MAPPING FROM ULTRA-LIGHT UAV IMAGERY

C. Strecha; O. Küng; P. Fua 

2012. EuroCOW 2012, Barceloa, Spain, February 8-10, 2012.

Learning to Detect Objects with Minimal Supervision

K. Ali / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2012. 

LDAHash: Improved Matching with Smaller Descriptors

C. Strecha; A. M. Bronstein; M. M. Bronstein; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34, p. 66-78. DOI : 10.1109/TPAMI.2011.103.

Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks with Learned Shape Features

A. Lucchi; K. Smith; R. Achanta; G. Knott; P. Fua 

IEEE Transactions on Medical Imaging. 2012. Vol. 31, num. 2, p. 474-486. DOI : 10.1109/TMI.2011.2171705.

BRIEF: Computing a Local Binary Descriptor Very Fast

M. Calonder; V. Lepetit; M. Özuysal; T. Trzcinski; C. Strecha et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34, num. 7, p. 1281-1298. DOI : 10.1109/TPAMI.2011.222.

A Real-Time Deformable Detector

K. Ali; F. Fleuret; D. Hasler; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34, num. 2, p. 225-239. DOI : 10.1109/TPAMI.2011.117.

Monocular 3D Reconstruction of Locally Textured Surfaces

A. Varol; A. Shaji; M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. Vol. 34, num. 6, p. 1118-1130. DOI : 10.1109/TPAMI.2011.196.

Efficient Large Scale Multi-View Stereo for Ultra High Resolution Image Sets

E. Tola; C. Strecha; P. Fua 

Machine Vision and Applications. 2012. Vol. 23, num. 5, p. 903-920. DOI : 10.1007/s00138-011-0346-8.

myCopter – Enabling Technologies for Personal Aerial Transportation Systems

F. M. Nieuwenhuizen; M. Jump; M. White; P. Perfect; P. Padfield et al. 

2011. International HELI World Conference, Frankfurt/Main, Germany, 2011.

myCopter – Enabling Technologies for Personal Aerial Transportation Systems.

M. Jump; P. Perfect; G. D. Padfield; M. D. White; D. Floreano et al. 

2011. European Rotorcraft Forum, Vergiate/Gallarate, Italy, September 13-15, 2011.

Learning parameterized histogram kernels on the simplex manifold for image and action classification

V. Ablavsky; S. Sclaroff 

2011. IEEE International Conference on Computer Vision (ICCV), Barcelona, SPAIN, Nov 06-13, 2011. p. 1473-1480. DOI : 10.1109/ICCV.2011.6126404.

Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs

J. Vandemeulebroucke; S. Rit; J. Kybic; P. Clarysse; D. Sarrut 

Medical Physics. 2011. Vol. 38, p. 166-178. DOI : 10.1118/1.3523619.

Extended Keyframe Detection with Stable Tracking for Multiple 3D Object Tracking

Y. Park; V. Lepetit; W. Woo 

IEEE Transactions On Visualization And Computer Graphics. 2011. Vol. 17, p. 1728-1735. DOI : 10.1109/TVCG.2010.262.

Simplified Building Models Extraction From Ultra-Light UAV Imagery

O. Küng; C. Strecha; P. Fua; D. Gurdan; M. Achtelik et al. 

2011. UAV-g 2011 – Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.

Long Term Real Trajectory Reuse Through Region Goal Satisfaction

J. Ahn; S. Gobron; Q. Silvestre; H. Ben Shitrit; M. Raca et al. 

2011. International Conference on Motion in Games (MIG), Edinburgh, UK, November 13-15, 2011. p. 412-423. DOI : 10.1007/978-3-642-25090-3_35.

PHOTOGRAMMETRIC PERFORMANCE OF AN ULTRA LIGHT WEIGHT SWINGLET UAV

J. Vallet; F. Panissod; C. Strecha; M. Tracol 

2011. UAV-g , Zürich, September 14-16, 2011.

Are Spatial and Global Constraints Really Necessary for Segmentation?

A. Lucchi; Y. Li; X. Boix Bosch; K. Smith; P. Fua 

2011. IEEE International Conference on Computer Vision (ICCV), Barcelona, p. 9-16. DOI : 10.1109/ICCV.2011.6126219.

The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery

O. Küng; C. Strecha; A. Beyeler; J-C. Zufferey; D. Floreano et al. 

2011. UAV-g 2011 – Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.

Rotational Features Extraction for Ridge Detection

G. González Serrano; F. Fleuret; F. Aguet; F. Benmansour; M. Unser et al. 

2011

Conditional Random Fields for Multi-Camera Object Detection

G. Roig Noguera; X. Boix Bosch; H. Ben Shitrit; P. Fua 

2011. International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011. p. 563-570. DOI : 10.1109/ICCV.2011.6126289.

Tracking Multiple People under Global Appearance Constraints

H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua 

2011. International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011. p. 137-144. DOI : 10.1109/ICCV.2011.6126235.

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

M. Brown; S. Süsstrunk; P. Fua 

2011. IEEE CVPR Workshop on Biologically Consistent Vision, Colorado Springs, CO, USA, June 2011. DOI : 10.1109/CVPRW.2011.5981688.

Multispectral Interest Points for RGB-NIR Image Registration

D. Firmenich; M. Brown; S. Süsstrunk 

2011. IEEE International Conference on Image Processing, Brussels, Belgium, September 2011. DOI : 10.1109/ICIP.2011.6115818.

Multispectral SIFT for Scene Category Recognition

M. Brown; S. Süsstrunk 

2011. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, CO, USA, June 2011. p. 177-184. DOI : 10.1109/CVPR.2011.5995637.

myCopter: Enabling Technologies for Personal Air Transport Systems

M. Jump; P. Padfield; M. White; D. Floreano; P. Fua et al. 

2011. RAeS Rotorcraft Conference: The Future Rotorcraft – Enabling Capability Through the Application of Technology, London, UK, 15-16th June 2011.

Are Sparse Representations Really Relevant for Image Classification?

R. Rigamonti; M. Brown; V. Lepetit 

2011. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, p. 1545-1552. DOI : 10.1109/CVPR.2011.5995313.

Filter Learning for Linear Structure Segmentation

R. Rigamonti; E. Türetken; G. González Serrano; P. Fua; V. Lepetit 

2011

Automated Quantification of Morphodynamics for High-Throughput Live Cell Imaging Datasets

G. González Serrano; L. Fusco; O. Pertz; K. Smith 

2011

Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors

E. Türetken; G. González Serrano; C. Blum; P. Fua 

Neuroinformatics. 2011. Vol. 9, p. 279-302. DOI : 10.1007/s12021-011-9122-1.

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. Vol. 33, num. 5, p. 931-944. DOI : 10.1109/TPAMI.2010.158.

Automated Detection and Delineation of Tree Structures in Noisy Micrographs

G. González Serrano / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2011. 

Multiple Object Tracking using K-Shortest Paths Optimization

J. Berclaz; E. Turetken; F. Fleuret; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. Vol. 33, p. 1806–1819. DOI : 10.1109/TPAMI.2011.21.

FlowBoost – Appearance Learning from Sparsely Annotated Video

K. Ali; D. Hasler; F. Fleuret 

2011. IEEE International Conference on Computer Vision and Pattern Recognition. p. 1433-1440. DOI : 10.1109/CVPR.2011.5995403.

Learning Real-Time Perspective Patch Rectification

S. Hinterstoisser; V. Lepetit; S. Benhimane; P. Fua; N. Navab 

International Journal of Computer Vision. 2011. Vol. 91, num. 1, p. 107–130. DOI : 10.1007/s11263-010-0379-x.

Real-time vehicle tracking for driving assistance

A. Fossati; P. Schönmann; P. Fua 

Machine Vision and Applications. 2011. Vol. 22, num. 2, p. 439-448. DOI : 10.1007/s00138-009-0243-6.

Simultaneous Pose, Correspondence and Non-Rigid Shape

J. Sanchez-Riera; J. O. M. Östlund; P. Fua; F. Moreno Noguer 

2010. Conference on Computer Vision and Pattern Recognition. p. 1189-1196. DOI : 10.1109/CVPR.2010.5539831.

Surface Construction by a 2-D Differentiation-Integration Process: A Neurocomputational Model for Perceived Border Ownership, Depth, and Lightness in Kanizsa Figures

N. Kogo; C. Strecha; L. Van Gool; J. Wagemans 

Psychological Review. 2010. Vol. 117, p. 406-439. DOI : 10.1037/a0019076.

Scalable real-time planar targets tracking for digilog books

K. Kim; V. Lepetit; W. Woo 

Visual Computer. 2010. Vol. 26, p. 1145-1154. DOI : 10.1007/s00371-010-0490-6.

Derivatives with respect to metrics and applications: subgradient marching algorithm

F. Benmansour; G. Carlier; G. Peyre; F. Santambrogio 

Numerische Mathematik. 2010. Vol. 116, p. 357-381. DOI : 10.1007/s00211-010-0305-8.

Pareto-optimal Dictionaries for Signatures

M. Calonder; V. Lepetit; P. Fua 

2010. Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, Jun 13-18, 2010. p. 3011-3018. DOI : 10.1109/CVPR.2010.5540050.

Delineating Trees in Noisy 2D Images and 3D Image Stacks

G. Gonzalez; E. Türetken; F. Fleuret; P. Fua 

2010. International Conference on Computer Vision and Pattern Recognition. p. 2799-2806. DOI : 10.1109/CVPR.2010.5540010.

Large occlusion completion using normal maps

E. Tola; A. Fossati; C. Strecha; P. Fua 

2010. Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010.

Supervoxel-Based Segmentation of EM Image Stacks with Learned Shape Features

A. Lucchi; K. Smith; R. Achanta; G. Knott; P. Fua 

2010

L’Hydroptère: A story of a dream

J-M. Bourgeon; S. Dyen; D. Moyon; D. Schmäh; R. Amacher et al. 

2010. 21st HISWA International Symposium on Yacht Design and Yacht Construction, Amsterdam, The Netherlands, November 15-16, 2010.

Monocular 3D Reconstruction of Locally Textured Surfaces

A. Varol; A. Shaji; M. Salzmann; P. Fua 

2010

Is Sparsity Really Relevant for Image Classification?

R. Rigamonti; M. Brown; V. Lepetit 

2010

LDAHash: Improved matching with smaller descriptors

C. Strecha; A. M. Bronstein; M. M. Bronstein; P. Fua 

2010

Deformable Surface 3D Reconstruction from Monocular Images

M. Salzmann; P. Fua 

Morgan-Claypool, 2010.

Robust, High-Speed Interest Point Matching for Real-Time Applications

M. Calonder / P. Fua (Dir.)  

Lausanne, EPFL, 2010. 

Least-Squares Minimization Under Constraints

P. Fua; A. Varol; R. Urtasun; M. Salzmann 

2010

Combining Geometric and Appearance Priors for Robust Homography Estimation

E. Serradell; M. Özuysal; V. Lepetit; P. Fua; F. Moreno-Noguer 

2010.  p. 58–72. DOI : 10.1007/978-3-642-15558-1_5.

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

F. Moreno-Noguer; J. Porta; P. Fua 

2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010. p. 370–383. DOI : 10.1007/978-3-642-15558-1_27.

DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction

E. Tola / P. Fua (Dir.)  

Lausanne, EPFL, 2010. 

A Closed-Form Solution for the Uniform Sampling of the Epipolar Line via Non-Uniform Depth Sampling

E. Tola 

2010

From Canonical Poses to 3D Motion Capture Using a Single Camera

A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2010. Vol. 32, num. 7, p. 1165-1181. DOI : 10.1109/TPAMI.2009.108.

Making Action Recognition Robust to Occlusions and Viewpoint Changes

D. Weinland; M. Özuysal; P. Fua 

2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010. p. 635–648. DOI : 10.1007/978-3-642-15558-1_46.

Reconstructing Geometrically Consistent Tree Structures from Noisy Images

E. Türetken; C. Blum; G. Gonzalez Serrano; P. Fua 

2010. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 20-24, 2010. p. 291-299. DOI : 10.1007/978-3-642-15705-9_36.

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images

A. Lucchi; K. Smith; R. Achanta; V. Lepetit; P. Fua 

2010. International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, September 20-24, 2010. p. 463-471. DOI : 10.1007/978-3-642-15745-5_57.

View-Based Maps

K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al. 

International Journal of Robotics Research. 2010. Vol. 29, num. 8, p. 941-957. DOI : 10.1177/0278364910370376.

BRIEF: Binary Robust Independent Elementary Features

M. Calonder; V. Lepetit; C. Strecha; P. Fua 

2010. 11th European Conference on Computer Vision (ECCV). p. 778-792. DOI : 10.1007/978-3-642-15561-1_56.

L’HYDROPTERE: HOW MULTIDISCIPLINARY SCIENTIFIC RESEARCH MAY HELP BREAK THE SAILING SPEED RECORD

M. Calmon; M. Farhat; P. Fua; K. Startchev; G. Bonnier et al. 

2010. 2nd INTERNATIONAL CONFERENCE ON INNOVATION IN HIGH PERFORMANCE SAILING YACHTS (Innov’Sail), Lorient, France, June 30 – 1st July 1st, 2010.

Learning Pose Invariant and Covariant Classifiers from Image Sequences

M. Özuysal / P. Fua; V. Lepetit (Dir.)  

Lausanne, EPFL, 2010. 

Dynamic and Scalable Large Scale Image Reconstruction

C. Strecha; T. Pylvanainen; P. Fua 

2010. 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A, June 13-19, 2010. p. 406-413. DOI : 10.1109/CVPR.2010.5540184.

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

A. Shaji; A. Varol; L. Torresani; P. Fua 

2010. 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A., June 13-19, 2010. p. 1221-1228. DOI : 10.1109/CVPR.2010.5539827.

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

A. Fossati / P. Fua (Dir.)  

Lausanne, EPFL, 2010. 

Pareto-optimal Dictionaries for Signatures

M. Calonder; V. Lepetit; P. Fua 

2010. Conference on Computer Vision and Pattern Recognition, June. p. 3011-3018. DOI : 10.1109/CVPR.2010.5540050.

Fast Keypoint Recognition using Random Ferns

M. Özuysal; M. Calonder; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. Vol. 32, num. 3, p. 448-461. DOI : 10.1109/TPAMI.2009.23.

Pedestrian localization, tracking and behavior analysis from multiple cameras

J. Berclaz / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2010. 

Daisy: An Efficient Dense Descriptor Applied to Wide Baseline Stereo

E. Tola; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. Vol. 32, num. 5, p. 815-830. DOI : 10.1109/TPAMI.2009.77.

Capturing 3D Stretchable Surfaces from Single Images in Closed Form

F. Moreno-Noguer; M. Salzmann; V. Lepetit; P. Fua 

2009. Computer Vision and Pattern Recognition (CVPR). p. 1842-1849. DOI : 10.1109/CVPR.2009.5206758.

Training for Task Specific Keypoint Detection

C. Strecha; A. Lindner; K. Ali; P. Fua 

2009. DAGM Symposium on Pattern Recognition, Jena, GERMANY, Sep 09-11, 2009. p. 151-160. DOI : 10.1007/978-3-642-03798-6_16.

Fast Ray Features for Learning Irregular Shapes

K. Smith; A. Carleton; V. Lepetit 

2009. 12th IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009. p. 397-404. DOI : 10.1109/ICCV.2009.5459210.

Compact Signatures for High-speed Interest Point Description and Matching

M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al. 

2009. IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009. p. 357-364. DOI : 10.1109/ICCV.2009.5459272.

EPnP: An Accurate O(n) Solution to the PnP Problem

V. Lepetit; F. Moreno-Noguer; P. Fua 

International Journal Of Computer Vision. 2009. Vol. 81, p. 155-166. DOI : 10.1007/s11263-008-0152-6.

Memories of the world of the mountains

C. Scherrer; J. Pilet; V. Lepetit; P. Fua 

Leonardo. 2009. Vol. 42, p. 350-355. DOI : 10.1162/leon.2009.42.4.350.

Temporally Consistent Layer Depth Ordering Via Pixel Voting For Pseudo 3D Representation

E. Turetken; A. A. Alatan 

2009. 3DTV Conference – True Vision – Capture, Transmission and Display of 3D Video, Potsdam, GERMANY, May 04-06, 2009. p. 257-260. DOI : 10.1109/3DTV.2009.5069679.

Effect of natural organic matter and green microalga on carboxyl-polyethylene glycol coated CdSe/ZnS quantum dots stability and transformations under freshwater conditions

V. I. Slaveykova; K. Startchev 

Environmental Pollution. 2009. Vol. 157, p. 3445-3450. DOI : 10.1016/j.envpol.2009.06.017.

Observable Subspaces for 3D Human Motion Recovery

A. Fossati; M. Salzmann; P. Fua 

2009. IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, June 22 – 24, 2009. p. 1137-1144. DOI : 10.1109/CVPR.2009.5206489.

ESM-Blur: Handling and Rendering Blur in 3D Tracking and Augmentation

Y. Park; V. Lepetit; W. Woo 

2009. International Symposium on Mixed and Augmented Reality.

Compact Signatures for High-speed Interest Point Description and Matching

M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al. 

2009. International Conference on Computer Vision, September, 2009.

View-Based Maps

K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al. 

2009. Robotics: Science and Systems Conference, Seattle, June 2009.

Pose Estimation for Category Specific Multiview Object Localization

M. Özuysal; V. Lepetit; P. Fua 

2009. Conference on Computer Vision and Pattern Recognition, Miami, 2009. p. 778-785. DOI : 10.1109/CVPR.2009.5206633.

Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems

J. Berclaz; A. Shahrokni; F. Fleuret; J. Ferryman; P. Fua 

2009. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA, June 20-25, 2009. p. 55-62.

Joint Pose Estimator and Feature Learning for Object Detection

K. Ali; F. Fleuret; D. Hasler; P. Fua 

2009. IEEE International Conference on Computer Vision. p. 1373-1380. DOI : 10.1109/ICCV.2009.5459304.

Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

A. Shahrokni; T. Drummond; F. Fleuret; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009. Vol. 31, num. 3, p. 570-576. DOI : 10.1109/TPAMI.2008.236.

Steerable Features for Statistical 3D Dendrite Detection

G. Gonzalez; F. Aguet; F. Fleuret; M. Unser; P. Fua 

2009. Twelfth International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’09), London, UK, September 20-24, 2009. p. 625-632. DOI : 10.1007/978-3-642-04271-3_76.

Learning Rotational Features for Filament Detection

G. Gonzalez; F. Fleuret; P. Fua 

2009. International Conference on Computer Vision and Pattern Recognition. p. 1582-1589. DOI : 10.1109/CVPR.2009.5206511.

Multiple Object Tracking using Flow Linear Programming

J. Berclaz; F. Fleuret; P. Fua 

2009

Multiple Object Tracking using Flow Linear Programming

J. Berclaz; F. Fleuret; P. Fua 

2009. 12th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (Winter-PETS 2009), Snowbird, Utah, DOI : 10.1109/PETS-WINTER.2009.5399488.

Image Summaries using Database Saliency

R. Achanta; A. Shaji; P. Fua; S. Süsstrunk 

2009. The 2nd ACM SIGGRAPH Conference and Exhibition in Asia (SIGGRAPH Asia), Yokohama, Japan, December 16-19, 2009. p. 43. DOI : 10.1145/1666778.1666821.

Workflow Monitoring based on Multi-view Reconstruction

N. Padoy; D. Mateus; D. Weinland; M-O. Berger; N. Navab 

2009. ICCV Workshop on Video-Oriented Object and Event Classification, Kyoto, September 28, 2009.

Template-Free Monocular Reconstruction of Deformable Surfaces

A. Varol; M. Salzmann; E. Tola; P. Fua 

2009. International Conference on Computer Vision, Kyoto, September 27 – October 4, 2009.

Virtual View Generation with a Hybrid Camera Array

E. Tola; C. Zhang; Q. Cai; Z. Zhang 

2009

Specularities as an information source in the presence of texture

P. Lagger / P. Fua (Dir.)  

Lausanne, EPFL, 2009. 

Appearance-based Keypoint Clustering

F. J. Estrada; P. Fua; V. Lepetit; S. Süsstrunk 

2009. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami Beach, FL, USA, June 20-25, 2009. DOI : 10.1109/CVPR.2009.5206514.

Learning and recovering 3D surface deformations

M. Salzmann / P. Fua (Dir.)  

Lausanne, EPFL, 2009. 

Retrieving multiple light sources in the presence of specular reflections and texture

P. Lagger; P. Fua 

Computer Vision And Image Understanding. 2008. Vol. 111, p. 207-218. DOI : 10.1016/j.cviu.2007.11.002.

Local deformation models for monocular 3D shape recovery

M. Salzmann; R. Urtasun; P. Fua 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1213-1220. DOI : 10.1109/CVPR.2008.4587499.

3D pose refinement from reflections

P. Lagger; M. Salzmann; V. Lepetit; P. Fua 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1205-1212. DOI : 10.1109/CVPR.2008.4587498.

Keypoint Signatures for Fast Learning and Recognition

M. Calonder; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision, Marseille, FRANCE, Oct 12-18, 2008. p. 58-71. DOI : 10.1007/978-3-540-88682-2_6.

Pose Priors for Simultaneously Solving Alignment and Correspondence

F. Moreno-Noguer; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 405-418. DOI : 10.1007/978-3-540-88688-4_30.

Closed-Form Solution to Non-rigid 3D Surface Registration

M. Salzmann; F. Moreno-Noguer; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision, Marseille, FRANCE, Oct 12-18, 2008. p. 581-594. DOI : 10.1007/978-3-540-88693-8_43.

Making Background Subtraction Robust to Sudden Illumination Changes

J. Pilet; C. Strecha; P. Fua 

2008. European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 567-580. DOI : 10.1007/978-3-540-88693-8_42.

Multiple 3D Object Tracking for Augmented Reality

Y. Park; V. Lepetit; W. Woo 

2008. International Symposium on Mixed and Augmented Reality. p. 117-120. DOI : 10.1109/ISMAR.2008.4637336.

Automated Delineation of Dendritic Networks in Noisy Image Stacks

G. Gonzalez; F. Fleuret; P. Fua 

2008. European Conference on Computer Vision. p. 214–227. DOI : 10.1007/978-3-540-88693-8_16.

Multi-Camera People Tracking with a Probabilistic Occupancy Map

F. Fleuret; J. Berclaz; R. Lengagne; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2008. Vol. 30, num. 2, p. 267-282. DOI : 10.1109/TPAMI.2007.1174.

Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps

J. Berclaz; F. Fleuret; P. Fua 

2008. Proceedings of the 10th European Conference on Computer Vision, Marseille, October 12-18, 2008. p. 112–125. DOI : 10.1007/978-3-540-88690-7_9.

Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation

J. Pilet; V. Lepetit; P. Fua 

International Journal of Computer Vision. 2008. Vol. 76, num. 2, p. 109-122. DOI : 10.1007/s11263-006-0017-9.

Tracking Articulated Bodies using Generalized Expectation Maximization

A. Fossati; E. Arnaud; R. Horaud; P. Fua 

2008. CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Anchorage, June 27-28, 2006. DOI : 10.1109/CVPRW.2008.4563073.

Linking Pose and Motion

A. Fossati; P. Fua 

2008. European Conference on Computer Vision, Marseille, October 12-18, 2008. p. 200–213. DOI : 10.1007/978-3-540-88693-8_15.

Automated Delineation of Dendritic Networks in Noisy Image Stacks

G. Gonzalez; F. Fleuret; P. Fua 

2008. European Conference on Computer Vision, Marseille, October 13-16, 2008. p. 214-227. DOI : 10.1007/978-3-540-88693-8_16.

Keypoint Signatures for Fast Learning and Recognition

M. Calonder; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision, Marseilles, October 2008. p. 58-71. DOI : 10.1007/978-3-540-88682-2_6.

On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery

C. Strecha; W. von Hansen; L. Van Gool; P. Fua; U. Thoennessen 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, June 24-26, 2008. DOI : 10.1109/CVPR.2008.4587706.

IA Generative Model for True Orthorectification

C. Strecha; L. Van Gool; P. Fua 

2008. ISPRS Congress, Beijing, 2008. p. 303-308.

General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy

K. Smith; A. Carleton; V. Lepetit 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, June 2008. DOI : 10.1109/CVPR.2008.4587506.

A Generative Model for True Orthorectification

C. Strecha; L. Van Gool; P. Fua 

2008. ISPRS Congress Beijing 2008, Beijing, 2008.

Principled Detection-by-Classification from Multiple Views

J. Berclaz; F. Fleuret; P. Fua 

2008. International Conference on Computer Vision Theory and Applications, Funchal, Madeira, January 22-25, 2008. p. 375-382.

A fast local descriptor for dense matching

E. Tola; V. Lepetit; P. Fua 

2008. Conference on Computer Vision and Pattern Recognition, Alaska, USA, June 24-26, 2008. DOI : 10.1109/CVPR.2008.4587673.

Augmented reality for non-rigid surfaces

J. Pilet / P. Fua (Dir.)  

Lausanne, EPFL, 2008. 

Accurate non-iterative O(n) solution to the PnP problem

F. Moreno-Noguer; V. Lepetit; P. Fua 

2007. 11th IEEE International Conference on Computer Vision, Rio de Janeiro, BRAZIL, Oct 14-21, 2007. p. 2252-2259. DOI : 10.1109/ICCV.2007.4409116.

Surface Deformation Models for Non-Rigid 3–D Shape Recovery

M. Salzmann; J. Pilet; S. Ilic; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2007. Vol. 29, num. 8, p. 1481-1487. DOI : 10.1109/TPAMI.2007.1080.

Implicit Meshes for Effective Silhouette Handling

S. Ilic; M. Salzmann; P. Fua 

International Journal of Computer Vision. 2007. Vol. 22, num. 2, p. 159-178. DOI : 10.1007/s11263-006-8595-0.

Accurate Non-Iterative O(n) Solution to the PnP Problem

F. Moreno-Noguer; V. Lepetit; P. Fua 

2007. International Conference on Computer Vision, 2007.

Calibration automatique d’une caméra

F. Gilliéron 

2007.

Retexturing in the Presence of Complex Illumination and Occlusions

J. Pilet; V. Lepetit; P. Fua 

2007. International Symposium on Mixed and Augmented Reality, Nara, Japan, November, 2007.

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua 

2007. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 17-22, 2007. p. 1-8. DOI : 10.1109/CVPR.2007.383297.

Robust Multi-View Change Detection

A. Lanza; L. Di Stefano; J. Berclaz; F. Fleuret; P. Fua 

2007. British Machine Vision Conference, Warwick, September 10-13, 2007. p. 72.1-72.10. DOI : 10.5244/C.21.72.

Fast Keypoint Recognition in Ten Lines of Code

M. Ozuysal; P. Fua; V. Lepetit 

2007. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 18-23, 2007. DOI : 10.1109/CVPR.2007.383123.

Spatio-temporal human pose detection

M. Dimitrijevic / P. Fua (Dir.)  

Lausanne, EPFL, 2007. 

Dendrite Tracking in Microscopic Images using Minimum Spanning Trees and Localized E-M

F. Fleuret; P. Fua 

2006

Human body pose detection using Bayesian spatio-temporal templates

M. Dimitrijevic; V. Lepetit; P. Fua 

Computer Vision and Image Understanding. 2006. Vol. 104, num. 2-3, p. 127-139. DOI : 10.1016/j.cviu.2006.07.007.

Temporal Motion Models for Monocular and Multiview 3–D Human Body Tracking

R. Urtasun; D. Fleet; P. Fua 

Computer Vision and Image Understanding. 2006. Vol. 104, num. 2-3, p. 157-177. DOI : 10.1016/j.cviu.2006.08.006.

3D people tracking with Gaussian process dynamical models

R. Urtasun; D. Fleet; P. Fua 

2006. Computer Vision and Pattern Recognition, June, 2006. p. 238-245. DOI : 10.1109/CVPR.2006.15.

EKF SLAM vs. FastSLAM — A comparison

M. Calonder 

2006

An all-in-one solution to geometric and photometric calibration

J. Pilet; A. Geiger; P. Lagger; V. Lepetit; P. Fua 

2006. International Symposium on Mixed and Augmented Reality, Santa Barbara, CA, October 2006. DOI : 10.1109/ISMAR.2006.297796.

Combined Depth and Outlier Estimation in Multi-View Stereo

C. Strecha; R. Fransens; L. Van Gool 

2006. IEEE Conference on Computer Vision and Pattern Recognition, New York, June 17-22, 2006. p. 2394-2401. DOI : 10.1109/CVPR.2006.78.

Robust People Tracking with Global Trajectory Optimization

J. Berclaz; F. Fleuret; P. Fua 

2006. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, June 17-22, 2006. p. 744-750. DOI : 10.1109/CVPR.2006.258.

Feature Harvesting for Tracking-by-Detection

M. Ozuysal; V. Lepetit; F. Fleuret; P. Fua 

2006. European Conference on Computer Vision, Graz, May 7-13, 2006. p. 592-605. DOI : 10.1007/11744078_46.

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

H. Dejnabadi; B. M. Jolles; E. Casanova; P. Fua; K. Aminian 

Ieee Transactions on Biomedical Engineering. 2006. Vol. 53, num. 7, p. 1385-1393. DOI : 10.1109/TBME.2006.873678.

Motion models for robust 3D human body tracking

R. Urtasun Sotil / P. Fua (Dir.)  

Lausanne, EPFL, 2006. 

Implicit Meshes for Surface Reconstruction

S. Ilic; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. Vol. 28, num. 2, p. 328-333. DOI : 10.1109/TPAMI.2006.37.

Keypoint Recognition using Randomized Trees

V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. Vol. 28, num. 9, p. 1465-1479. DOI : 10.1109/TPAMI.2006.188.

An Investigation of Model Bias in 3D Face Tracking

D. Fidaleo; G. Medioni; P. Fua; V. Lepetit 

2005. Conference on Analysis and Modelling of Faces and Gestures. p. 125–139. DOI : 10.1007/11564386_11.

Augmenting Deformable Objects in Real-Time

J. Pilet; V. Lepetit; P. Fua 

2005. International Symposium on Mixed and Augmented Reality, Vienna, Austria, October 2005. p. 134-137. DOI : 10.1109/ISMAR.2005.18.

Real-Time Non-Rigid Surface Detection

J. Pilet; V. Lepetit; P. Fua 

2005. Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 2005. p. 822-828. DOI : 10.1109/CVPR.2005.293.

Implicit Surfaces Make for Better Silhouettes

S. Ilic; M. Salzmann; P. Fua 

2005. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), San Diego, CA, p. 1135-1142. DOI : 10.1109/CVPR.2005.185.

Priors for People Tracking from Small Training Sets

R. Urtasun; D. J. Fleet; A. Hertzmann; P. Fua 

2005. International Conference in Computer Vision. p. 403-410. DOI : 10.1109/ICCV.2005.193.

Classifier-based Contour Tracking for Rigid and Deformable Objects

A. Shahrokni; F. Fleuret; P. Fua 

2005. British Machine Vision Conference. p. 56.1-56.10. DOI : 10.5244/C.19.56.

Monocular 3–D Tracking of the Golf Swing

R. Urtasun; D. Fleet; P. Fua 

2005. Conference on Computer Vision and Pattern Recognition, San Diego, p. 932-939. DOI : 10.1109/CVPR.2005.229.

Fast Texture-Based Tracking and Delineation Using Texture Entropy

A. Shahrokni; T. Drummond; P. Fua 

2005.  p. 1154-1160. DOI : 10.1109/ICCV.2005.97.

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

M. Salzmann; S. Ilic; P. Fua 

2005.  p. 12.1-12.10. DOI : 10.5244/C.19.12.

Real-Time Non-Rigid Surface Detection

J. Pilet; V. Lepetit; P. Fua 

2005. Conference on Computer Vision and Pattern Recognition, San Diego, CA, p. 822-828. DOI : 10.1109/CVPR.2005.293.

Randomized Trees for Real-Time Keypoint Recognition

V. Lepetit; P. Lagger; P. Fua 

2005. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), San Diego, CA, p. 775-781. DOI : 10.1109/CVPR.2005.288.

Fixed Point Probability Field for Complex Occlusion Handling

F. Fleuret; R. Lengagne; P. Fua 

2005.  p. 694-700. DOI : 10.1109/ICCV.2005.102.

Human Body Pose Recognition Using Spatio-Temporal Templates

M. Dimitrijevic; V. Lepetit; P. Fua 

2005. ICCV workshop on Modeling People and Human Interaction, Beijing, China,

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

L. Herda; R. Urtasun; P. Fua 

Computer Vision and Image Understanding. 2005. Vol. 99, num. 2, p. 189-209. DOI : 10.1016/j.cviu.2005.01.005.

Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

V. Lepetit; P. Fua 

Foundations and Trends in Computer Graphics and Vision. 2005. Vol. 1, num. 1, p. 1-89. DOI : 10.1561/0600000001.

Probabilistic modeling of texture transition for fast tracking and delineation

S. A. Shahrokni / P. Fua (Dir.)  

Lausanne, EPFL, 2005. 

Multiple Light Sources Recovery in the Presence of Specularities and Texture

P. Lagger; P. Fua 

2005

Pattern Recognition from One Example by Chopping

F. Fleuret; G. Blanchard 

2005

Parameterizing Deformable Surfaces for Monocular 3–D Tracking

M. Salzmann; S. Ilic; P. Fua 

2005

Implicit meshes

S. Ilic / P. Fua (Dir.)  

Lausanne, EPFL, 2005. 

Acoustic Echo Cancellation for Human-Robot Communications

J. Berclaz 

2004.

Wide-baseline Stereo from Multiple Views: a Probabilistic Account

C. Strecha; R. Fransen; L. Van Gool 

2004. IEEE Conference on Computer Vision and Pattern Recognition, Washington, June 27 – July 2, 2004. p. 552-559. DOI : 10.1109/CVPR.2004.1315080.

Stable Real-Time AR Framework for Training and Planning in Industrial Environments

L. Vacchetti; V. Lepetit; G. Papagiannakis; M. Ponder; P. Fua et al. 

Virtual and Augmented Reality Applications in Manufacturing; Springer-Verlag, 2004. p. 129-145.

Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture

L. Herda; R. Urtasun; P. Fua 

2004. European Conference on Computer Vision, Prague, Czech Republic, p. 405–418. DOI : 10.1007/978-3-540-24671-8_32.

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

M. Dimitrijevic; S. Ilic; P. Fua 

2004. Conference on Computer Vision and Pattern Recognition. DOI : 10.1109/CVPR.2004.1315278.

Markov-based Silhouette Extraction for Three–Dimensional Body Tracking in Presence of Cluttered Background

A. Shahrokni; T. Drummond; P. Fua 

2004. British Machine Vision Conference. p. 17.1-17.10. DOI : 10.5244/C.18.17.

Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking

L. Vacchetti; V. Lepetit; P. Fua 

2004. International Symposium on Mixed and Augmented Reality, Arlington, VA, DOI : 10.1109/ISMAR.2004.24.

A Stable Real-Time AR Framework for Training and Planning in Industrial Environments

L. Vacchetti; V. Lepetit; M. Ponder; G. Papagiannakis; D. Thalmann et al. 

2004.  p. 129-146. DOI : 10.1007/978-1-4471-3873-0_8.

3D human body tracking using deterministic temporal motion models

R. Urtasun; P. Fua 

2004. 8th European Conference on Computer Vision, Prague, CZECH REPUBLIC, May 11-14, 2004. p. 92-106. DOI : 10.1007/978-3-540-24672-5_8.

3D Tracking for Gait Characterization and Recognition

R. Urtasun; P. Fua 

2004. DOI : 10.1109/AFGR.2004.1301503.

Texture Boundary Detection for Real-Time Tracking

A. Shahrokni; T. Drummond; P. Fua 

2004. 

Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation

V. Lepetit; J. Pilet; P. Fua 

2004. Conference on Computer Vision and Pattern Recognition. DOI : 10.1109/CVPR.2004.1315170.

3–D Motion Analysis and Synthesis from Inertial Gyroscopes and Image Data

E. Casanova; H. Dejnabadi; B. Jolles; K. Aminian; P. Fua 

2004. 

Stable Real-Time 3D Tracking Using Online and Offline Information

L. Vacchetti; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004. Vol. 26, num. 10, p. 1391-1391. DOI : 10.1109/TPAMI.2004.92.

Style-based Motion Synthesis

R. Urtasun; P. Glardon; R. Boulic; D. Thalmann; P. Fua 

Computer Graphics Forum. 2004. Vol. 23, num. 4, p. 799-812. DOI : 10.1111/j.1467-8659.2004.00809.x.

Implicit Meshes Make for Better Silhouettes

S. Ilic; M. Salzmann; P. Fua 

2004

Randomized Trees for Real-Time Keypoint Recognition

V. Lepetit; P. Lagger; P. Fua 

2004

Monocular 3-D Tracking of the Golf Swing

R. Urtasun; D. Fleet; P. Fua 

2004

Fast Texture-Based Tracking and Delineation Using Texture Entropy

A. Shahrokni; T. Drummond; P. Fua 

2004

Fixed Point Probability Field for Occlusion Handling

F. Fleuret; R. Lengagne; P. Fua 

2004

Real-time non-rigid surface detection

J. Pilet; V. Lepetit; P. Fua 

2004

Towards Recognizing Feature Points using Classification Trees

V. Lepetit; P. Fua 

2004

Implicit Meshes for Surface Reconstruction

S. Ilic; P. Fua 

2004

Mahalanobis Motion Generation

R. Urtasun; P. Glardon; D. Thalmann; P. Fua 

2004

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

L. Herda; R. Urtasun; P. Fua 

2004

Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation

V. Lepetit; J. Pilet; P. Fua 

2004

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

M. Dimitrijevic; S. Ilic; P. Fua 

2004

3D Tracking for Gait Characterization and Recognition

R. Urtasun; P. Fua 

2004

3D Human Body Tracking using Deterministic Temporal Motion Models

R. Urtasun; P. Fua 

2004

Multi modal tracking in complex environments for augmented reality applications

L. Vacchetti / P. Fua (Dir.)  

Lausanne, EPFL, 2004. 

Using biomechanical constraints to improve video-based motion capture

L. Herda / P. Fua (Dir.)  

Lausanne, EPFL, 2004. 

Dense Matching of Multiple Wide-baseline Views

C. Strecha; T. Tuytelaars; L. Van Gool 

2003. 9th IEEE International Conference on Computer Vision, Nice, October 13-16, 2003. p. 1194-1201. DOI : 10.1109/ICCV.2003.1238627.

Least Squares Matching Tracking Algorithm for Human Body Modeling

N. D’Apuzzo; A. Gruen; R. Plaenkers; P. Fua 

2003. XIX Congress for the International Society for Photogrammetry and Remote Sensing Congress, Amsterdam, Netherlands, 16-23 July 2003. p. 2000.