Publications

Benchmarking large multimodal models for ophthalmic visual question answering with OphthalWeChat

P. Xu; X. Gong; X. Chen; W. Zhang; J. Yang et al. 

Advances in Ophthalmology Practice and Research. 2026. Vol. 6, num. 1, p. 33 – 41. DOI : 10.1016/j.aopr.2025.10.006.

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

H. Le; J. Xu; N. Talabot; J. Yang; P. Fua 

2026. 28th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025), Daejeon (Republic of Korea), 2025-09-23 – 2025-09-27. p. 387 – 396. DOI : 10.1007/978-3-032-05325-1_37.

DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask Diffusion

H. Zhang; Y. Liu; J. Yang; W. Guo; X. Wang et al. 

2026. 28th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025), Daejeon (Republic of Korea), 2025-09-23 – 2025-09-27. p. 161 – 172. DOI : 10.1007/978-3-032-05325-1_16.

Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation

T. Wang; M. Liu; H. Liu; B. Ren; Y. You et al. 

IEEE Transactions on Multimedia. 2026.  p. 1 – 13. DOI : 10.1109/tmm.2026.3651079.

SimTA++: Simple attention neural network for clinical asynchronous time series

Z. Li; J. Li; K. Kuang; B. Jing; B. Du et al. 

Neural Networks. 2025. Vol. 191. DOI : 10.1016/j.neunet.2025.107735.

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields

A. Fan; C. Dumery; N. Talabot; P. Fua 

2025. International Conference on Computer Vision 2025, Honolulu, Hawaii, USA, 2025-10-19 – 2025-10-23.

Leveraging Gradient Information for Out-of-Domain Performance Estimations

E. Khramtsova; M. Baktashmotlagh; G. Zuccon; X. Wang; M. Salzmann 

2025. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, 2025-09-15 – 2025-09-19. p. 306 – 321. DOI : 10.1007/978-3-032-06106-5_18.

PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization

N. Talabot; O. Clerc; A. C. Demirtas; A. Goujon; M. H. Lê et al. 

Transactions on Machine Learning Research. 2025. 

Counting Stacked Objects

C. Dumery; N. Etté; A. Fan; R. Li; J. Xu et al. 

2025. International Conference on Computer Vision 2025, Honolulu, Hawaii, USA, 2025-10-19 – 2025-10-23.

High Resolution UDF Meshing via Iterative Networks

F. Stella; N. Talabot; H. Le; P. Fua 

2025. 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025-12-02 – 2025-12-07.

Exploring seismic mass-movement data with anomaly detection and dynamic time warping

F. Kamper; F. Walter; P. Paitz; M. Meyer; M. Volpi et al. 

2025

Revisiting Machine Learning Approaches for Short‐ and Longwave Radiation Inference in Weather and Climate Models

G. Bertoli; S. Mohebi; F. Ozdemir; J. Jucker; S. Rüdisühli et al. 

Journal of Advances in Modeling Earth Systems. 2025. Vol. 17, num. 9. DOI : 10.1029/2025ms004956.

Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates

R. Li; C. Cao; C. Dumery; H. Li; Y. You et al. 

2025. ACM SIGGRAPH Conference, Vancouver, Canada, 2025-08-10 – 2025-08-14.

Automated Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

Z. Wei; A. Yang; J. Li; M. Bauerheim; R. P. Liem et al. 

AIAA Journal. 2025.  p. 1 – 18. DOI : 10.2514/1.j065203.

Joint Compression of Multi-model Systems for Edge Devices

J. L. Prado Vieira; L. Makarem; M. Salzmann 

2025. 9th International Conference on Computer Vision and Image Processing, Chennai, India, 2024-12-19 – 2024-12-21. p. 175 – 189. DOI : 10.1007/978-3-031-93697-5_13.

Tuning vision foundation models for rectal cancer segmentation from CT scans

H. Zhang; W. Guo; S. Wan; B. Zou; W. Wang et al. 

Communications Medicine. 2025. Vol. 5, num. 1. DOI : 10.1038/s43856-025-00953-0.

6Img-to-3D: Few-Image Large-Scale Outdoor Novel View Synthesis

T. Gieruc; M. Kästingschäfers; S. Bernhard; M. Salzmann 

2025. 36th IEEE Intelligent Vehicles Symposium (IEEE IV 2025), Cluj-Napoca, Romania, 2025-06-22 – 2025-06-25. p. 2122 – 2129. DOI : 10.1109/iv64158.2025.11097387.

A multimodal visual–language foundation model for computational ophthalmology

D. Shi; W. Zhang; J. Yang; S. Huang; X. Chen et al. 

npj Digital Medicine. 2025. Vol. 8, num. 1. DOI : 10.1038/s41746-025-01772-2.

Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields

C. Dumery; A. Fan; R. Li; N. Talabot; P. Fua 

2025. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Nashville, TN, USA, 2025-06-11 – 2025-06-12. p. 5207 – 5216. DOI : 10.1109/cvprw67362.2025.00516.

Few-shot Personalized Scanpath Prediction

R. Xue; J. Xu; S. Mondal; H. Le; G. Zelinsky et al. 

2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 – 2025-06-15. p. 13497 – 13507. DOI : 10.1109/cvpr52734.2025.01260.

Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Textures

G. Sun; R. Dabral; H. Zhu; P. Fua; C. Theobalt et al. 

2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 – 2025-06-15. p. 562 – 573. DOI : 10.1109/cvpr52734.2025.00061.

A novel immersive catheter ablation simulator based on individualized 3D MR patients’ heart models improves ablation performance of future electrophysiologists

N. Bacha; A. Masi; P. Antiochos; C. Teres; M. Le Bloa et al. 

Europace. 2025. Vol. 27, num. Supplement_1. DOI : 10.1093/europace/euaf085.098.

Unlocking Comics: the Ai4va Dataset for Visual Understanding

P. Gronquist; D. Bhattacharjee; B. Aydemir; B. Ozaydin; T. Zhang et al. 

2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 – 2024-10-04. p. 155 – 172. DOI : 10.1007/978-3-031-92808-6_10.

Deep Learning to Improve the Discovery of Near-earth Asteroids in the Zwicky Transient Facility

B. Y. Irureta-Goyena; G. Helou; J-P. Kneib; F. Masci; T. Prince et al. 

PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC. 2025. Vol. 137, num. 5. DOI : 10.1088/1538-3873/add379.

Vision-based power line cables and pylons detection for low flying aircraft

J. Gwizdala; D. Oner; S. K. Roy; M. A. Shah; A. Eberhard et al. 

MACHINE VISION AND APPLICATIONS. 2025. Vol. 36, num. 2. DOI : 10.1007/s00138-025-01664-1.

Tiny satellites, big challenges: A feasibility study of machine vision pose estimation for PocketQubes during conjunctions

N. Sajjad; A. Price; M. Mirshams; M. Salzmann 

Acta Astronautica. 2025. Vol. 228, p. 1023 – 1041. DOI : 10.1016/j.actaastro.2024.12.034.

Shadow Removal Refinement via Material-Consistent Shadow Edges

S. Hu; H. Le; S. Athar; S. Das; D. Samaras 

2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2025-02-26 – 2025-03-06. p. 2631 – 2641. DOI : 10.1109/wacv61041.2025.00261.

Learning to Count from Pseudo-Labeled Segmentation

J. Xu; H. Le; D. Samaras 

2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2025-02-26 – 2025-03-06. p. 8754 – 8763. DOI : 10.1109/wacv61041.2025.00848.

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

M. Kozinski; D. Oner; J. Gwizdala; C. Beigelman-Aubry; P. Fua et al. 

COMMUNICATIONS MEDICINE. 2025. Vol. 5, num. 1. DOI : 10.1038/s43856-025-00732-x.

Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier

P. Howlader; S. Das; H. Le; D. Samaras 

2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 – 2024-10-04. p. 342 – 360. DOI : 10.1007/978-3-031-73226-3_20.

Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures

S. L. Gu; J. K. Adhinarta; M. Bessmeltsev; J. Yang; Y. J. Zhang et al. 

IEEE Transactions on Medical Imaging. 2025. DOI : 10.1109/TMI.2025.3589543.

Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation

P. Howlader; H. Le; D. Samaras 

2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 – 2024-10-04. p. 456 – 474. DOI : 10.1007/978-3-031-73226-3_26.

A Latent Implicit 3D Shape Model for Multiple Levels of Detail

B. Guillard; M. Habermann; C. Theobalt; P. Fua 

2025. 46th Annual Conference of the German Association for Pattern Recognition (DAGM GCPR 2024), Munich, Germany, 2024-09-10 – 2024-09-13. p. 37 – 52. DOI : 10.1007/978-3-031-85187-2_3.

SINDER: Repairing the Singular Defects of DINOv2

H. Wang; T. Zhang; M. Salzmann 

2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 – 2024-10-04. p. 20 – 35. DOI : 10.1007/978-3-031-72667-5_2.

Assessing Sample Quality via the Latent Space of Generative Models

J. Xu; H. Le; D. Samaras 

2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 – 2024-10-04. p. 449 – 464. DOI : 10.1007/978-3-031-73202-7_26.

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases

J. Bednarik; N. Aigerman; V. G. Kim; S. Chaudhuri; S. Parashar et al. 

IEEE transactions on pattern analysis and machine intelligence. 2025. Vol. 47, num. 5, p. 3718 – 3730. DOI : 10.1109/TPAMI.2025.3538776.

Dataset for “PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization”

N. Talabot; O. Clerc; A. C. Demirtas; A. Goujon; D. Oner et al. 

2025.

Neural Garment Modeling

R. Li / P. Fua (Dir.)  

Lausanne, EPFL, 2025. 

Deep Active Latent Surfaces for Medical Geometries

P. M. Jensen; U. Wickramasinghe; A. B. Dahl; P. Fua; V. A. Dahl 

2025. 6 Northern Lights Deep Learning Conference, Tromso, Norway, 2025-01-07 – 2025-01-09.

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

G. Sun; R. Dabral; P. Fua; C. Theobalt; M. Habermann 

2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 – 2024-10-04. p. 341 – 361. DOI : 10.1007/978-3-031-72952-2_20.

Uncertainty in Modern Deep Learning

N. Durasov / P. Fua (Dir.)  

Lausanne, EPFL, 2025. 

Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields

K. Xie; J. Yang; D. Wei; Z. Weng; P. Fua 

Medical image analysis. 2025. Vol. 99. DOI : 10.1016/j.media.2024.103367.

Exploring Causal Information Bottleneck for Adversarial Defense

J. Yan; H. Hua; W. Huang; X. Fang; W. Ge et al. 

IEEE Transactions on Information Forensics and Security. 2025. DOI : 10.1109/TIFS.2025.3611108.

Improving Human Pose & Shape Estimation with Explicit and Implicit Priors

A. Davydov / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2025. 

Image-based Pose Estimation for Previously-Unseen Objects

C. Zhao / M. Salzmann; P. Fua (Dir.)  

Lausanne, EPFL, 2025. 

Reconstruction of Manipulated Garment with Guided Deformation Prior

R. Li; C. Dumery; Z. Deng; P. Fua 

2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 – 2024-12-15.

No Identity, no problem: Motion through detection for people tracking

M. Engilberge; F. W. Grosche; P. Fua 

Transactions on Machine Learning Research. 2024. 

Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features

P. Hao; Y. Yu; C-T. Huang; F. Zhou; Y. Xu et al. 

FRONTIERS IN ONCOLOGY. 2024. Vol. 14. DOI : 10.3389/fonc.2024.1464555.

Two-stage error detection to improve electron microscopy image mosaicking

J. Shi; H. Ge; S. Wang; D. Wei; J. Yang et al. 

Computers in biology and medicine. 2024. Vol. 178. DOI : 10.1016/j.compbiomed.2024.108456.

Multi-task learning for medical foundation models

J. Yang 

NATURE COMPUTATIONAL SCIENCE. 2024. Vol. 4, num. 7, p. 473 – 474. DOI : 10.1038/s43588-024-00658-9.

Tuning Vision Foundation Models for Rectal Cancer Segmentation from CT Scans: Development and Validation of U-SAM

S. Wan; h. zhang; W. Guo; B. Zou; W. Wang et al. 

2024

SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention

R. Xu; Z. Liu; Y. Luo; H. Hu; L. Shen et al. 

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2024. Vol. 21, num. 4, p. 1093 – 1105. DOI : 10.1109/TCBB.2023.3253713.

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models

H. Qi; C. Zhao; M. Salzmann; A. Mathis 

2024.

CLOAF: CoLlisiOn-Aware Human Flow

A. Davydov; M. Engilberge; M. Salzmann; P. Fua 

2024. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2024, Seattle, WA, USA, 2024-06-17 – 2024-06-21. p. 1176 – 1185. DOI : 10.1109/CVPR52733.2024.00118.

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

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

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2024. Vol. 46, num. 6, p. 4489 – 4503. DOI : 10.1109/TPAMI.2024.3355198.

Enabling Uncertainty Estimation in Iterative Neural Networks

N. Durasov; D. Oner; J. Donier; M. H. Lê; P. Fua 

2024. 41st International Conference on Machine Learning (ICML) 2024, Vienna, Austria, 2024-07-21 – 2024-07-24. p. 12172 – 12189.

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

N. Durasov; N. Dorndorf; M. H. Lê 

2024. Transactions on Machine Learning Research.

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Y. Wu; T. Zhang; W. Ke; c. Qiu; S. Süsstrunk et al. 

2024. Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 17-21, 2024.

Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma

Y. Zhang; B. Sun; Y. Yu; J. Lu; Y. Lou et al. 

Npj Precision Oncology. 2024. Vol. 8, num. 1, p. 50. DOI : 10.1038/s41698-024-00551-8.

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes

A. Davydov; A. Sidnev; A. Sanakoyeu; Y. Chen; M. Salzmann et al. 

Transactions on Machine Learning Research. 2024. DOI : 10.48550/arXiv.2402.02736.

Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion

A. T. Bui; H. Le; T. T. Hoang; G. M. Trinh; H. C. Shao et al. 

Bioengineering. 2024. Vol. 11, num. 2, p. 164. DOI : 10.3390/bioengineering11020164.

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.

DeepMesh: Differentiable Iso-Surface Extraction

B. Guillard; E. Remelli; A. Lukoaianov; P. Yvernay; S. Richter et al. 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. 

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Z. Wei; A. Yang; J. Li; M. Bauerheim; R. P. Liem et al. 

2024. 

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

W. Zhang; S. Y. Huang; J. Yang; R. Chen; Z. Ge et al. 

2024. 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, MOROCCO, 2024-10-06 – 2024-10-10. p. 689 – 699. DOI : 10.1007/978-3-031-72378-0_64.

Garment Recovery with Shape and Deformation Priors

R. Li; C. Dumery; B. Guillard; P. Fua 

2024. The IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17-21, 2024.

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

J. Yang; E. Sedykh; J. Adhinarta; M. H. Lê; P. Fua 

2024. International Conference on Medical Image Computing and Computer-Assisted Intervention, MARRAKESH, MOROCCO, 2024-10-06 – 2024-10-10.

Dvmnet: Computing Relative Pose for Unseen Objects Beyond Hypotheses

C. Zhao; T. Zhang; Z. Dang; M. Salzmann 

2024. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2024, Seattle, WA, USA, 2024-06-17 – 2024-06-21. p. 20485 – 20495. DOI : 10.1109/CVPR52733.2024.01936.

DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization

Z. Wei; E. Dufour; C. Pelletier; P. Fua; M. Bauerheim 

2024. AIAA AVIATION Forum, Las Vegas, NV, USA, July 29–August 2, 2024.

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields

H. Qi; C. Zhao; M. Salzmann; A. Mathis 

2024. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, 2024-06-16 – 2024-06-22. DOI : 10.1109/CVPR52733.2024.00989.

Incorporating Projective Geometry into Deep Learning

M. J. Tyszkiewicz / P. Fua (Dir.)  

Lausanne, EPFL, 2024. 

MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision

J. Li; Z. Zhou; J. Yang; A. Pepe; C. Gsaxner et al. 

Biomedizinische Technik. Biomedical engineering. 2024. DOI : 10.1515/bmt-2024-0396.

Detecting Road Obstacles by Erasing Them

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

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. Vol. 46, num. 4, p. 2450 – 2460. DOI : 10.1109/TPAMI.2023.3335152.

A Closed-Form Pairwise Solution to Local Non-Rigid Structure-from-Motion

S. Parashar; Y. Long; M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. DOI : 10.1109/TPAMI.2024.3383316.

Aggregating Spatial and Photometric Context for Photometric Stereo

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

Lausanne, EPFL, 2024. 

RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

L. Jin; S. Gu; D. Wei; J. K. Adhinarta; K. Kuang et al. 

IEEE Transactions on Medical Imaging (T-MI). 2024. Vol. 43, num. 1, p. 570 – 581. DOI : 10.1109/TMI.2023.3313627.

Multi-site, Multi-domain Airway Tree Modeling

M. Zhang; Y. Wu; H. Zhang; Y. Qin; H. Zheng et al. 

Medical Image Analysis. 2023. Vol. 90, p. 102957. DOI : 10.1016/j.media.2023.102957.

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening

B. Chen; Z. Liu; J. Lu; Z. Li; K. Kuang et al. 

Respiratory Research. 2023. Vol. 24, num. 1, p. 299. DOI : 10.1186/s12931-023-02611-2.

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. Vol. 292, p. 108869. DOI : 10.1016/j.cpc.2023.108869.

One-shot Retinal Artery and Vein Segmentation via Cross-modality Pretraining

D. Shi; S. He; J. Yang; Y. Zheng; M. He 

Ophthalmology Science. 2023. Vol. 4, num. 2, p. 100363. DOI : 10.1016/j.xops.2023.100363.

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. Vol. 186, p. 107392. DOI : 10.1016/j.lungcan.2023.107392.

Learning for Multi-View Tracking

I. Vrkic 

2023.

Dense Multitask Learning to Reconfigure Comics

D. Bhattacharjee; S. Süsstrunk; M. Salzmann 

2023. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, Vancouver, Canada, June 18-22, 2023. DOI : 10.1109/CVPRW59228.2023.00598.

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.  p. s00330 – 023. 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. DOI : 10.2514/1.J062533.

The Impact of Chatgpt and Llms on Medical Imaging Stakeholders: Perspectives and Use Cases

J. Yang; H. B. Li; D. Wei 

META-RADIOLOGY. 2023. Vol. 1, num. 1. DOI : 10.1016/j.metrad.2023.100007.

Spatiotemporal Self-supervised Learning for Point Clouds in the Wild

Y. Wu; T. Zhang; W. Ke; S. Süsstrunk; M. Salzmann 

2023. Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023-06-17 – 2023-06-24. p. 5251 – 5260. DOI : 10.1109/CVPR52729.2023.00508.

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. 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. Vol. 140, p. 109563. DOI : 10.1016/j.patcog.2023.109563.

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. Vol. 136, p. 109209. DOI : 10.1016/j.patcog.2022.109209.

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. 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. Vol. 8, num. 4, p. 2150 – 2157. DOI : 10.1109/LRA.2023.3245410.

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. 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. Vol. 145, num. 5, p. 052902. DOI : 10.1115/1.4056663.

Informing Neural Networks with Simplified Physics for Better Flow Prediction

F. Sergeev 

2023.

3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping

Z. Yang; S. Li; W. Wu; B. Dai 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 22951 – 22962. DOI : 10.1109/ICCV51070.2023.02103.

GECCO: Geometrically-Conditioned Point Diffusion Models

M. J. Tyszkiewicz; P. Fua; E. Trulls 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 2128 – 2138. DOI : 10.1109/ICCV51070.2023.00203.

How to Boost Face Recognition with StyleGAN?

A. Sevastopolsky; Y. Malkov; N. Durasov; L. Verdoliva; M. Niessner 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 20867 – 20877. DOI : 10.1109/ICCV51070.2023.01913.

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

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

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

TempSAL – Uncovering Temporal Information for Deep Saliency Prediction

B. Aydemir; L. Hoffstetter; T. Zhang; M. Salzmann; S. Susstrunk 

2023. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 6461 – 6470. DOI : 10.1109/CVPR52729.2023.00625.

DrapeNet: Garment Generation and Self-Supervised Draping

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

2023. The 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023-06-18 – 2023-06-22. p. 1451 – 1460. DOI : 10.1109/CVPR52729.2023.00146.

Automated Human Motion Analysis and Synthesis

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

Lausanne, EPFL, 2023. 

Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation

J. Qiu; F. Wang; Z. Dang 

2023. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, OCT 01-05, 2023. p. 968 – 975. DOI : 10.1109/IROS55552.2023.10341840.

Topologically Better Delineation of Curvilinear Structures

D. Oner / P. Fua (Dir.)  

Lausanne, EPFL, 2023. 

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. DOI : 10.1109/ICCV51070.2023.01945.

Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation

H. Wang; Z. Li; W. Zhang 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 22421 – 22430. DOI : 10.1109/ICCV51070.2023.02054.

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.

Robust Outlier Rejection for 3D Registration with Variational Bayes

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

2023. 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.

Geometrically-Conditioned Point Diffusion Models

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

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

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. DOI : 10.1109/ICCV51070.2023.01743.

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.

Latent Representation of CFD Meshes and Application to Airfoil Aerodynamics

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

2023

Rigidity-Aware Detection for 6D Object Pose Estimation

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

2023. 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.

Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

Z. Weng; J. Yang; D. Liu; W. Cai 

2023. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, CANADA, OCT 08-12, 2023. p. 382 – 392. DOI : 10.1007/978-3-031-43990-2_36.

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.

MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency

Q. Wu; J. Yang; K. Sun; C. Zhang; Y. Zhang et al. 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 13910 – 13920. DOI : 10.1109/ICCV51070.2023.01283.

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Z. Li; J. Yang; Y. Xu; L. Zhang; W. Dong et al. 

2023. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, CANADA, OCT 08-12, 2023. p. 681 – 691. DOI : 10.1007/978-3-031-43898-1_65.

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

V. Vidit; M. Engilberge; M. Salzmann 

2023. 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.

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

H. He; Z. Yang; S. Li; B. Dai; W. Wu 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 22939 – 22950. DOI : 10.1109/ICCV51070.2023.02102.

Center-aware Adversarial Augmentation for Single Domain Generalization

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

2023. 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. 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.

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

H. Jiang; Z. Dang; S. Gu; J. Xie; M. Salzmann et al. 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 3404 – 3414. DOI : 10.1109/ICCV51070.2023.00317.

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.

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.

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.

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Z. Dang; M. Salzmann 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 8975 – 8985. DOI : 10.1109/ICCV51070.2023.00827.

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.

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.

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. 

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

X. Kuang; K. Yuan; B. Du; J. Yang 

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

Improving Object Detection under Domain Shifts

Vidit / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2023. 

Deep Learning for 3D Surface Modelling and Reconstruction

B. A. R. Guillard / P. Fua (Dir.)  

Lausanne, EPFL, 2023. 

LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline

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

2023. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, Canadda, October 8-12, 2023. p. 502 – 512. DOI : 10.1007/978-3-031-43999-5_48.

Fast Adversarial Training With Adaptive Step Size

Z. Huang; Y. Fan; C. Liu; W. Zhang; Y. Zhang et al. 

Ieee Transactions On Image Processing. 2023. Vol. 32, p. 6102 – 6114. DOI : 10.1109/TIP.2023.3326398.

Learning Transformations To Reduce the Geometric Shift in Object Detection

V. Vidit; M. Engilberge; M. Salzmann 

2023. 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.

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

F. Liu; Y. Hu; M. Salzmann 

2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 14061 – 14071. DOI : 10.1109/ICCV51070.2023.01297.

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

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

2023. 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.

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

H. Osman; N. Darwish; A. Bayoumi 

Engineering Applications Of Artificial Intelligence. 2022. 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. 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. 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. 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. DOI : 10.1007/s00330-022-09317-x.

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. 

3D Pose Based Feedback For Physical Exercises

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

2022. 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.

Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

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

2022. 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. 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. 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. 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. 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. 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.

Long Term Motion Prediction Using Keyposes

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

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

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

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

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

Attention-based domain adaptation for single-stage detectors

V. Vidit; M. Salzmann 

Machine Vision And Applications. 2022. 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. 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. 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 (T-MI). 2022. 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. 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. 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.

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

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

2022. 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.

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.

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. Vol. 60, p. 5618515. DOI : 10.1109/TGRS.2022.3152587.

What Makes for Automatic Reconstruction of Pulmonary Segments

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

2022. 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.

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. Vol. 33, num. 1, p. 10. DOI : 10.1007/s00138-021-01254-x.

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

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

2022. 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.

Encoder-Decoder Models for Human Segmentation and Motion Analysis

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

Lausanne, EPFL, 2022. 

Object Priors for Volumetric Image Segmentation

P. U. Wickramasinghe / P. Fua (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. 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.

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. 2022. DOI : 10.1109/TPAMI.2022.3215307.

Understanding Deep Neural Networks using Adversarial Attacks

K. K. Nakka / P. Fua; M. Salzmann (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. 

Persistent Homology with Improved Locality Information for more Effective Delineation

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

2022

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. 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.

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.

Learning to Represent and Reconstruct 3D Deformable Objects

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

Lausanne, EPFL, 2022. 

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.

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.

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.

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

W. Mao; M. Liu; M. Salzmann 

2022. 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.

Using Animal Motion Capture to Learn Neural Representations

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

Lausanne, EPFL, 2022. 

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.

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.

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.

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.

Contrastive Class-aware Adaptation for Domain Generalization

T. Chen; M. Baktashmotlagh; M. Salzmann 

2022. 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.

Leveraging Self-Supervision for Cross-Domain Crowd Counting

W. Liu; N. Durasov; P. Fua 

2022. 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.

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. 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.

Distilling Image Classifiers in Object Detectors

S. Guo; M. J. Alvarez; M. Salzmann 

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

Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification

S. Hao; W. Wang; M. Salzmann 

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

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. Vol. 2, num. 1, p. e2020AV000321. DOI : 10.1029/2020AV000321.

Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features

K. Kanth; M. Salzmann 

2021. 15th Asian Conference on Computer Vision, Kyoto, Japan, 2020-11-30 – 2020-12-04. p. 391 – 408. DOI : 10.1007/978-3-030-69544-6_24.

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. Vol. 43, num. 2, p. 745 – 752. DOI : 10.1109/TPAMI.2019.2934052.

Generating Smooth Pose Sequences for Diverse Human Motion Prediction

W. Mao; M. Liu; M. Salzmann 

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

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

Z. Li; Y. Hu; M. Salzmann; X. Ji 

2021. 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.

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

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

2021. 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.

Robust Differentiable SVD

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

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021.  p. 1 – 1. DOI : 10.1109/TPAMI.2021.3072422.

Human-Centered Scene Understanding via Crowd Counting

W. Liu / P. Fua (Dir.)  

Lausanne, EPFL, 2021. 

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.

Pyramid Architecture Search for Real-Time Image Deblurring

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

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

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.

Contextually Plausible and Diverse 3D Human Motion Prediction

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

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

Progressive Correspondence Pruning by Consensus Learning

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

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

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. Vol. 23, p. 4376 – 4387. DOI : 10.1109/TMM.2020.3042068.

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. Vol. 23, p. 3264 – 3277. DOI : 10.1109/TMM.2020.3023272.

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

M. M. Johari; C. Carta; F. Fleuret 

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

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.

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.

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

K. Yu; R. Ranftl; M. Salzmann 

2021. 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.

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

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

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

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. Vol. 30, p. 2989 – 3004. DOI : 10.1109/TIP.2020.3048680.

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

K. Yu / P. Fua; M. Salzmann (Dir.)  

Lausanne, EPFL, 2021. 

Motion Prediction Using Temporal Inception Module

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

2021. 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. 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6–12, 2020.

History Repeats Itself: Human Motion Prediction Via Motion Attention

W. Mao; M. Liu; M. Salzmann 

2020. 16th European Conference on Computer Vision Workshops (ECCV 2020), Glasgow, UK, 2020-08-23 – 2020-08-28. p. 474 – 489. DOI : 10.1007/978-3-030-58568-6_28.

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. 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. Vol. 22, num. 11, p. 2808 – 2819. DOI : 10.1109/TMM.2019.2963621.

Indirect Local Attacks for Context-aware Semantic Segmentation Networks

K. K. Nakka; M. Salzmann 

2020. 16th European Conference on Computer Vision Workshops (ECCV 2020), Glasgow, UK, 2020-08-23 – 2020-08-28. p. 611 – 628. DOI : 10.1007/978-3-030-58558-7_36.

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

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

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

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

MeshSDF: Differentiable Iso-Surface Extraction

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

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

Joint Segmentation and Path Classification of Curvilinear Structures

A. Mosinska; M. Kozinski; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2020. 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. 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. Vol. 60, p. 101590. DOI : 10.1016/j.media.2019.101590.

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.

Better Patch Stitching for Parametric Surface Reconstruction

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

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

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. 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. Vol. 29, p. 6977 – 6991. DOI : 10.1109/TIP.2020.2996086.

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 (T-MI). 2020. Vol. 39, num. 4, p. 1256 – 1267. DOI : 10.1109/TMI.2019.2946462.

Learning and leveraging shared domain semantics to counteract visual domain shifts

R. Bermúdez Chacón / P. Fua (Dir.)  

Lausanne, EPFL, 2020. 

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction

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

2020. 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.

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.

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.

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.

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.

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.

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

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

2019. 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. Vol. 28, num. 11, p. 5394 – 5406. DOI : 10.1109/TIP.2019.2917864.

Recurrent U-Net for Resource-Constrained Segmentation

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

2019. 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.

Detecting the Unexpected via Image Resynthesis

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

2019. 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.

Probabilistic Atlases to Enforce Topological Constraints

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

2019. 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. 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. 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. 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. 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.

Neural Scene Decomposition for Multi-Person Motion Capture

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

2019. 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. 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. 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. 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. 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. 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. Vol. 41, num. 4, p. 886 – 900. DOI : 10.1109/TPAMI.2018.2819675.

Learning to Reduce Annotation Load

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

Lausanne, EPFL, 2019. 

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

A. J. Mosinska / P. Fua (Dir.)  

Lausanne, EPFL, 2019. 

VIENA(2): A Driving Anticipation Dataset

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

2019. 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.

Beyond Cartesian Representations for Local Descriptors

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

2019. 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.

Double Refinement Network for Efficient Monocular Depth Estimation

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

2019. 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.

Temporal Spiking Recurrent Neural Network for Action Recognition

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

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

Learning Trajectory Dependencies for Human Motion Prediction

W. Mao; M. Liu; M. Salzmann; H. Li 

2019. 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.

Training Algorithms for Multiple Object Tracking

A. Maksai / P. Fua (Dir.)  

Lausanne, EPFL, 2019. 

Quadruplet Selection Methods For Deep Embedding Learning

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

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

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.

The Sixth Visual Object Tracking VOT2018 Challenge Results

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

2019. 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.

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. 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.

What Face and Body Shapes Can Tell Us About Height

S. Gunel; H. Rhodin; P. Fua 

2019. 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.

Deep Micro-Dictionary Learning and Coding Network

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

2019. 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.

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.

Attribute-Guided Sketch Generation

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

2019. 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.

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.

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

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

2019. 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.

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. Vol. 12, num. 1, p. 287 – 318. DOI : 10.1137/18M1178104.

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

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

2019. 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.

Backpropagation-Friendly Eigendecomposition

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

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

Joint Learning of Semantic Alignment and Object Landmark Detection

S. Jeon; D. Min; S. Kim; K. Sohn 

2019. 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.

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

S. Kim; S. Kim; D. Min; K. Sohn 

2019. 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.

Context-Aware Emotion Recognition Networks

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

2019. 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.

Semantic Attribute Matching Networks

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

2019. 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.

Modeling Facial Geometry using Compositional VAEs

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

2018. 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. 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. 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. Vol. 126, num. 12, p. 1326 – 1341. DOI : 10.1007/s11263-018-1066-6.

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

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

Lausanne, EPFL, 2018. 

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

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

2018. 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.

MonoPerfCap: Human Performance Capture From Monocular Video

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

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

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.

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.

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.

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

M. Liu; X. He; M. Salzmann 

2018. 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,

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.

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 to Find Good Correspondences

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

2018. Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 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.

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.

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

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

J. Bednarik; P. Fua; M. Salzmann 

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

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.

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.

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.

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.

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.

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.

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.

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

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

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

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. 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.

Variational Methods for Human Modeling

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

Lausanne, EPFL, 2018. 

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

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

2018. 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.

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

W. Zhuo; M. Salzmann; X. He; M. Liu 

2018. 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.

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.

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.

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.

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,

Joint Dimensionality Reduction and Metric Learning: A Geometric Take

M. Harandi; M. Salzmann; R. Hartley 

2017. International Conference on Machine Learning (ICML).

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.

Learning Active Learning from Data

K. Konyushkova; R. Sznitman; P. Fua 

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

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.

Deep Subspace Clustering Networks

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

2017. Neural Information Processing Systems (NIPS).

Vision-based detection of aircrafts and UAVs

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

Lausanne, EPFL, 2017. 

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.

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,

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.

Compression-aware Training of Deep Networks

J. Alvarez; M. Salzmann 

2017. Neural Information Processing Systems (NIPS).

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.

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.

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.

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.

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.

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.

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.

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.

Efficient Model-free Anthropometry from Depth Data

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

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

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.

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.

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

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

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

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.

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.

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.

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.

Globally Optimal Cell Tracking using Integer Programming

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

2016

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.

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.

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.

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.

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.

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.

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.

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.

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.

Automated Reconstruction of Evolving Curvilinear Tree Structures

P. R. Głowacki / P. Fua (Dir.)  

Lausanne, EPFL, 2016. 

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.

Learning the Number of Neurons in Deep Networks

J. M. Alvarez; M. Salzmann 

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

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.

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.

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.

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.

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.

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 – . DOI : 10.1109/Tpami.2015.2513406.

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.

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

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

Lausanne, EPFL, 2016. 

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.

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.

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 – . DOI : 10.1109/Tpami.2016.2519025.

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.

Distribution-Matching Embedding for Visual Domain Adaptation

M. Baktashmotlagh; M. Harandi; M. Salzmann 

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

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.

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.

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.

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.

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.

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 (JCB). 2016. Vol. 212, num. 1, p. 91 – 111. DOI : 10.1083/jcb.201506018.

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.

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

T. D. Ngo / P. Fua (Dir.)  

Lausanne, EPFL, 2016. 

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

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

Lausanne, EPFL, 2016. 

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.

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.

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.

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.

Towards Scalable Segmentation of 3D Image Stacks

C. J. Becker / P. Fua (Dir.)  

Lausanne, EPFL, 2016. 

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 – . DOI : 10.1109/Tpami.2015.2462363.

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.

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.

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.

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.

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.

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 (T-MI). 2015. Vol. 34, num. 5, p. 1096 – 1110. DOI : 10.1109/TMI.2014.2376274.

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.

Localizing Polygonal Objects in Man-Made Environments

X. Sun / P. Fua (Dir.)  

Lausanne, EPFL, 2015. 

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.

Systems and methods for tracking interacting objects

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

US9794525; US2015281655.

2015.

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.

Domain Adaptation for Microscopy Imaging

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

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

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.

Delayed and Temporally Imprecise Neurotransmission in Reorganizing Cortical Microcircuits

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

The Journal of neuroscience. 2015. Vol. 35, num. 24, p. 9024 – 9037. DOI : 10.1523/Jneurosci.4583-14.2015.

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.

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.

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.

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.

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.

Detecting and Tracking Cells using Network Flow Programming

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

2015

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.

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.

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.

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.

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.

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.

Tracking Interacting Objects in Image Sequences

X. Wang / P. Fua (Dir.)  

Lausanne, EPFL, 2015. 

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.

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.

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.

Markerless 3D Human Motion Capture from Images

P. Fua 

Encyclopedia of Biometrics; Springer Science+Business Media, 2015. p. 1117 – 1122.

Efficient scanning for em based target localization

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

WO2014001157; US8588509.

2014.

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.

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.

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua 

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.

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.

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.

Pose Estimation of Web-Shared Landscape Pictures

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

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

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.

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.

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.

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

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

The Journal of neuroscience. 2014. Vol. 34, num. 6, p. 2075 – 2086. DOI : 10.1523/Jneurosci.3353-13.2014.

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.

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.

Beyond KernelBoost

R. Rigamonti; V. Lepetit; P. Fua 

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.

Re-Identification for Improved People Tracking

F. Fleuret; H. Ben Shitrit; P. Fua 

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

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.

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.

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.

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.

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.

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

A. Crivellaro; P. Fua; V. Lepetit 

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.

Learning and Matching Binary Local Feature Descriptors

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

Lausanne, EPFL, 2014. 

[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.

Better features for image categorization and segmentation

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

Lausanne, EPFL, 2014. 

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.

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.

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.

Object Classification and Detection in High Dimensional Feature Space

C. Dubout / F. Fleuret (Dir.)  

Lausanne, EPFL, 2014. 

Identity-Preserving Multiple People Tracking

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

Lausanne, EPFL, 2014. 

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.

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.

Learning Context Cues for Synapse Segmentation

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

IEEE Transactions on Medical Imaging (T-MI). 2013. Vol. 32, num. 10, p. 1864 – . DOI : 10.1109/Tmi.2013.2267747.

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.

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.

Multi-camera face detection and recognition applied to people tracking

M. Zervos 

2013.

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.

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.

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.

Learning Separable Filters with Shared Parts

B. Tekin 

2013.

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

E. Türetken / P. Fua (Dir.)  

Lausanne, EPFL, 2013. 

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.

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

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

US8615107; US2013177200.

2013.

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.

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

A. Lucchi / P. Fua (Dir.)  

Lausanne, EPFL, 2013. 

Tracking Multiple Players using a Single Camera

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

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

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.

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.

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

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

Facial Descriptors for Identity-Preserving Multiple People Tracking

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

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.

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.

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

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

EP2780871; EP2780871; WO2013072401; WO2013072401.

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.

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.

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.

Tubular Geodesics using Oriented Flux: An ITK Implementation

F. Benmansour; E. Türetken; P. Fua 

Insight Journal. 2013. 

Altered Synaptic Dynamics during Normal Brain Aging

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

The Journal of neuroscience. 2013. Vol. 33, num. 9, p. 4094 – 4104. DOI : 10.1523/Jneurosci.4825-12.2013.

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.

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.

Learning to Detect Objects with Minimal Supervision

K. Ali / P. Fua; F. Fleuret (Dir.)  

Lausanne, EPFL, 2012. 

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.