Publications

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

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

2019-11-08. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019.

Detecting the Unexpected via Image Resynthesis

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

2019-10-27. ICCV 2019 : IEEE International Conference on Computer Vision, Seoul, South Korea, Oct 27, 2019 - Nov 3, 2019 .

Recurrent U-Net for Resource-Constrained Segmentation

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

2019-10-27. International Conference on Computer Vision (ICCV 2019), Seoul, Korea, Oct 27 - Nov 3, 2019.

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

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

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

Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking

A. Maksai; P. Fua 

2019-06-23. Computer Vision and Patter Recognition (CVPR), Long Beach, CA, June, 2019.

Aerodynamic shape optimization via surrogate modelling with convolutional neural networks

F. Bardi 

2019-06-21.

Geometric Deep Learning for Volumetric Computational Fluid Dynamics

L. Zampieri 

2019-06-21.

Neural Scene Decomposition for Multi-Person Motion Capture

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

2019-06-20. Computer Vision and Patter Recognition (CVPR).

Context-Aware Crowd Counting

W. Liu; M. Salzmann; P. Fua 

2019-06-20. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019.

Segmentation-driven 6D Object Pose Estimation

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

2019-06-16. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.

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 (TOG). 2019-05-01. Vol. 25, num. 5, p. 2093-2101. DOI : 10.1109/TVCG.2019.2898650.

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

K. Konyushkova; R. Sznitman; P. Fua 

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

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

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

IEEE Transactions on Image Processing (TIP). 2019-04-11. DOI : 10.1109/TIP.2019.2909640.

Memory Efficient Max Flow for Multi-Label Submodular MRFs

T. Ajanthan; R. Hartley; M. Salzmann 

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

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.

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

A. J. Mosinska / P. Fua (Dir.)  

Lausanne: EPFL, 2019. DOI : 10.5075/epfl-thesis-9301.

Joint Segmentation and Path Classification of Curvilinear Structures

A. J. Mosinska; M. Kozinski; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2019. 

Training Algorithms for Multiple Object Tracking

A. Maksai / P. Fua (Dir.)  

Lausanne: EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.

Learning to Reduce Annotation Load

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

Lausanne: EPFL, 2019. DOI : 10.5075/epfl-thesis-9074.

Modeling Facial Geometry using Compositional VAEs

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

2018-06-18. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018.

Real-Time Seamless Single Shot 6D Object Pose Prediction

B. Tekin; S. N. Sinha; P. Fua 

2018-06-18. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018.

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

J. Bednarík; M. Salzmann; P. Fua 

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

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

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

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

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

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

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

Learning to Find Good Correspondences

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

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

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

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

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

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

M. Liu; X. He; M. Salzmann 

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

LF-Net: Learning Local Features from Images

Y. Ono; E. Trulls; P. Fua; K. M. Yi 

2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.

Learning Intelligent Dialogs for Bounding Box Annotation

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

2018-01-01. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 9175-9184. DOI : 10.1109/CVPR.2018.00956.

Real-Time Seamless Single Shot 6D Object Pose Prediction

B. Tekin; S. N. Sinha; P. Fua 

2018-01-01. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 292-301. DOI : 10.1109/CVPR.2018.00038.

LF-Net: Learning Local Features from Images

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

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

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

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

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

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

J. Bednarik; P. Fua; M. Salzmann 

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

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

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

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

Robust 3D Object Tracking from Monocular Images Using Stable Parts

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

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

MonoPerfCap: Human Performance Capture From Monocular Video

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

ACM TRANSACTIONS ON GRAPHICS. 2018. Vol. 37, num. 2. DOI : 10.1145/3181973.

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

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

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

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

M. Harandi; M. Salzmann; R. Hartley 

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

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

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

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

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

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

Lausanne: EPFL, 2018. DOI : 10.5075/epfl-thesis-8753.

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

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

2018-01-01. MICCAI, Granada, Spain, September 16-20, 2018. p. 283-291.

Statistically-Motivated Second-order Pooling

K. Yu; M. Salzmann 

2018. European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018.

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.

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

H. Rhodin; M. Salzmann; P. Fua 

2018. European Conference on Computer Vision (ECCV).

Variational Methods for Human Modeling

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

Lausanne: EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.

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

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

Lausanne: EPFL, 2018. DOI : 10.5075/epfl-thesis-8677.

Geodesic Convolutional Shape Optimization

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

2018. International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018.

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.

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.

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).

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

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

2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA,

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.

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.

Beyond Sharing Weights for Deep Domain Adaptation

A. Rozantsev; M. Salzmann; P. Fua 

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

Imposing Hard Constraints on Deep Networks: Promises and Limitations

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

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

Learning Active Learning from Data

K. Konyushkova; R. Sznitman; P. Fua 

2017. Advances in Neural Information Processing Systems.

Efficient Linear Programming for Dense CRFs

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

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

Efficient Model-free Anthropometry from Depth Data

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

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

Deep Subspace Clustering Networks

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

2017. Neural Information Processing Systems (NIPS).

Compression-aware Training of Deep Networks

J. Alvarez; M. Salzmann 

2017. Neural Information Processing Systems (NIPS).

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

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

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

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

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

US2017316578.

2017.

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

Geometric Graph Matching Using Monte Carlo Tree Search

M. A. Pinheiro; J. Kybic; P. Fua 

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

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

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

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

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

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

Scientific reports. 2017. Vol. 7. DOI : 10.1038/s41598-017-07537-6.

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

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

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

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

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

2017. International Conference on Computer Vision (ICCV).

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).

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).

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

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

2017. Microscopy Conference, Lausanne, Switzerland,

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

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

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

Active Learning and Proofreading for Delineation of Curvilinear Structures

A. J. Mosinska; J. Tarnawski; P. Fua 

2017. MICCAI, Quebec City, Canada, September 10-14, 2017.

Learning Lightprobes for Mixed Reality Illumination

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

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

Multi-Modal Mean-Fields via Cardinality-Based Clamping

P. Baqué; F. Fleuret; P. Fua 

2017. CVPR 2017, Honolulu, Hawaii, USA, July 21-26, 2017. p. 4303-4312. DOI : 10.1109/Cvpr.2017.458.

Joint Dimensionality Reduction and Metric Learning: A Geometric Take

M. Harandi; M. Salzmann; R. Hartley 

2017. International Conference on Machine Learning (ICML).

Vision-based detection of aircrafts and UAVs

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

Lausanne: EPFL, 2017. DOI : 10.5075/epfl-thesis-7589.

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

W. Zhuo; M. Salzmann; X. He; M. Liu 

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

Efficient Linear Programming for Dense CRFs

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

2017. Conference on Computer Vision and Pattern Recognition.

Boundary-aware Instance Segmentation

Z. Hayder; X. He; M. Salzmann 

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

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

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

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

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

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

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

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

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

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

Detecting Flying Objects using a Single Moving Camera

A. Rozantsev; V. Lepetit; P. Fua 

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

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

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

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

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

J. V. Pilet; J. O. M. Östlund 

WO2016128069.

2016.

J. V. Pilet; J. O. M. Östlund 

Distribution-Matching Embedding for Visual Domain Adaptation

M. Baktashmotlagh; M. Harandi; M. Salzmann 

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

Do We Need Binary Features for 3D Reconstruction?

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

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

Measuring the accuracy of softball impact simulations

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

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

Segmentation of Developing Human Embryo in Time-lapse Microscopy

A. Khan; S. Gould; M. Salzmann 

2016. International Symposium on Biomedical Imaging (ISBI).

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

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

Lausanne: EPFL, 2016. DOI : 10.5075/epfl-thesis-7241.

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

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

Lausanne: EPFL, 2016. DOI : 10.5075/epfl-thesis-7282.

Learning the Number of Neurons in Deep Networks

J. M. Alvarez; M. Salzmann 

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

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

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

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

Exploiting Large Image Sets for Road Scene Parsing

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

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

Efficient Transductive Semantic Segmentation

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

2016. Winter Conference on Applications of Computer Vision (WACV).

LIFT: Learned Invariant Feature Transform

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

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

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

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

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

Scalable Unsupervised Domain Adaptation for Electron Microscopy

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

2016. MICCAI 2016, Athens, Greece, October 17-21, 2016.

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

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

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

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

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

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

Building Scene Models by Completing and Hallucinating Depth and Semantics

M. Liu; X. He; M. Salzmann 

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

Structured Prediction of 3D Human Pose with Deep Neural Networks

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

2016. British Machine Vision Conference (BMVC), York, UK, September 19-22, 2016.

Parsing human skeletons in an operating room

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

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

Towards Scalable Segmentation of 3D Image Stacks

C. J. Becker / P. Fua (Dir.)  

Lausanne: EPFL, 2016. DOI : 10.5075/epfl-thesis-6937.

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.

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,

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,

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,

When VLAD met Hilbert

M. Harandi; M. Salzmann; F. Porikli 

2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, AZ,

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,

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.

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.

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.

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.

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.

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

T. D. Ngo / P. Fua (Dir.)  

Lausanne: EPFL, 2016. DOI : 10.5075/epfl-thesis-6891.

Automated Reconstruction of Evolving Curvilinear Tree Structures

P. R. Głowacki / P. Fua (Dir.)  

Lausanne: EPFL, 2016. DOI : 10.5075/epfl-thesis-6930.

Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model

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

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

Globally Optimal Cell Tracking using Integer Programming

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

2016

Principled Parallel Mean-Field Inference for Discrete Random Fields

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

2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas,

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

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

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

Tracking Interacting Objects Using Intertwined Flows

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

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

Multiscale Centerline Detection

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

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

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

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

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. Vol. 38, num. 12, p. 2515--2530. DOI : 10.1109/Tpami.2016.2519025.

Template-based Monocular 3D Shape Recovery using Laplacian Meshes

T. D. Ngo; J. Östlund; P. Fua 

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

Systems and methods for tracking interacting objects

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

US9794525; US2015281655.

2015.

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

Special Section: Pose & Gesture

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

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

Authoring and Living Next-Generation Location-Based Experiences

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

2015. IEEE Virtual Reality, 2015.

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

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

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

Kullback-Leibler Proximal Variational Inference

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

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

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.

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.

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.

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.

Delayed and Temporally Imprecise Neurotransmission in Reorganizing Cortical Microcircuits

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

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

Projection onto the Manifold of Elongated Structures for Accurate Extraction

A. Sironi; V. Lepetit; P. Fua 

2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

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.

Localizing Polygonal Objects in Man-Made Environments

X. Sun / P. Fua (Dir.)  

Lausanne: EPFL, 2015. DOI : 10.5075/epfl-thesis-6622.

Live Texturing of Augmented Reality Characters from Colored Drawings

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

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

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

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

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

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

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

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

Tracking Interacting Objects in Image Sequences

X. Wang / P. Fua (Dir.)  

Lausanne: EPFL, 2015. DOI : 10.5075/epfl-thesis-6632.

LOD Generation for Urban Scenes

Y. Verdie; F. Lafarge; P. Alliez 

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

TILDE: A Temporally Invariant Learned DEtector

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

2015. Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA,

Modeling Brain Circuitry over a Wide Range of Scales

P. Fua; G. Knott 

Frontiers in Neuroanatomy. 2015. DOI : 10.3389/fnana.7015.00042.

Flying Objects Detection from a Single Moving Camera

A. Rozantsev; V. Lepetit; P. Fua 

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

Probability Occupancy Maps for Occluded Depth Images

T. Bagautdinov; F. Fleuret; P. Fua 

2015. Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015.

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

K. Y. Yi; D. Y. Kim; K. M. Yi 

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

Detecting and Tracking Cells using Network Flow Programming

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

2015

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua 

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

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

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

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

Domain Adaptation for Microscopy Imaging

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

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

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

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

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

Learning Separable Filters

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

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

Non-Rigid Graph Registration using Active Testing Search

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

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

Learning Image Descriptors with Boosting

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

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

Efficient scanning for em based target localization

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

WO2014001157; US8588509.

2014.

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

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.

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

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

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

Motion Interaction Field for Accident Detection in Traffic Surveillance Video

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

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

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

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

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

Pose Estimation of Web-Shared Landscape Pictures

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

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

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

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

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

Refining Mitochondria Segmentation in Electron Microscopy Imagery with Active Surfaces

A. Jorstad; P. Fua 

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

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

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

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

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

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

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

Learning and Matching Binary Local Feature Descriptors

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

Lausanne: EPFL, 2014. DOI : 10.5075/epfl-thesis-6226.

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

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

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

Free-Shape Polygonal Object Localization

X. Sun; C. M. Christoudias; P. Fua 

2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sep 6-12, 2014. p. 317-332.

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.

On Rendering Synthetic Images for Training an Object Detector

A. Rozantsev; V. Lepetit; P. Fua 

2014

Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation

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

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

Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature

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

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

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

R. Sznitman; C. J. Becker; P. Fua 

2014. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 14-18, 2014.

Receptive Fields Selection for Binary Feature Description

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

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

Reconstructing Evolving Tree Structures in Time Lapse Sequences

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

2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 2014.

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.

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.

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

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

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

On the Relevance of Sparsity for Image Classification

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

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

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

A. Crivellaro; P. Fua; V. Lepetit 

2014

Real-time landing place assessment in man-made environments

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

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

Identity-Preserving Multiple People Tracking

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

Lausanne: EPFL, 2014. DOI : 10.5075/epfl-thesis-6035.

Caenorhabditis elegant segmentation using texture-based models for motility phenotyping

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

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

Better features for image categorization and segmentation

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

Lausanne: EPFL, 2014. DOI : 10.5075/epfl-thesis-6031.

Object Classification and Detection in High Dimensional Feature Space

C. Dubout / F. Fleuret (Dir.)  

Lausanne: EPFL, 2014. DOI : 10.5075/epfl-thesis-6043.

Re-Identification for Improved People Tracking

F. Fleuret; H. Ben Shitrit; P. Fua 

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

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

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

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

Multi-Commodity Network Flow for Tracking Multiple People

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

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

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

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

US8615107; US2013177200.

2013.

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

Learning Separable Filters with Shared Parts

B. Tekin 

2013.

TPAMI CVPR Special Section

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

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

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

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

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

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

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

2013. International Conference on Computer Vision (ICCV), Sydney, Australia, December, 2013.

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

E. Türetken / P. Fua (Dir.)  

Lausanne: EPFL, 2013. DOI : 10.5075/epfl-thesis-5933.

Keypoint Recognition using Random Forests and Random Ferns

V. Lepetit; P. Fua 

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

Non-Linear Domain Adaptation with Boosting

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

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

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

A. Lucchi / P. Fua (Dir.)  

Lausanne: EPFL, 2013. DOI : 10.5075/epfl-thesis-5836.

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.

Facial Descriptors for Identity-Preserving Multiple People Tracking

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

2013

Active Testing Search for Point Cloud Matching

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

2013. International Conference on Information Processing in Medical Imaging (IPMI), Asilomar, California, USA, June 28, 2013.

Flash Scanning Electron Microscopy

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

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

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

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

EP2780871; EP2780871; WO2013072401; WO2013072401.

2013.

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

Unified Detection and Tracking of Instruments during Retinal Microsurgery

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

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

Boosting Binary Keypoint Descriptors

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

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

Reconstructing Loopy Curvilinear Structures Using Integer Programming

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

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

Altered Synaptic Dynamics during Normal Brain Aging

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

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

Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

A. Lucchi; Y. Li; P. Fua 

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

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

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

2013

Fast Object Detection with Entropy-Driven Evaluation

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

2013. Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA,

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. DOI : 10.1109/Cvpr.2013.355.

An Optimal Policy for Target Localization with Application to Electron Microscopy

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

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

Multi-camera face detection and recognition applied to people tracking

M. Zervos 

2013.

Learning Context Cues for Synapse Segmentation

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

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

Tubular Geodesics using Oriented Flux: An ITK Implementation

F. Benmansour; E. Türetken; P. Fua 

Insight Journal. 2013. 

KernelBoost: Supervised Learning of Image Features For Classification

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

2013

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

E. Türetken; F. Benmansour; P. Fua 

2013

Tracking Multiple Players using a Single Camera

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

Machine Vision and Applications. 2013. 

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

F. Moreno Noguer; P. Fua 

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

Worldwide Pose Estimation Using 3D Point Clouds

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

2012. European Conference on Computer Vision (ECCV), Florence, Italy, October, 2012.

3-D Head Tracking via Invariant Keypoint Learning

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

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

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

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

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

Learning Image Descriptors with the Boosting-Trick

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

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

Efficient Discriminative Projections for Compact Binary Descriptors

T. Trzcinski; V. Lepetit 

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

Pose estimation of landscape images using DEM and orthophotos

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

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

Real time multi-object tracking using multiple cameras

M. Zervos 

2012.

Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem

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

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

Transfer Learning by Sharing Support Vectors

V. H. Ablavsky; C. J. Becker; P. Fua 

2012

On the Relevance of Sparsity for Image Classification

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

2012

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

T. Trzcinski; V. Lepetit; P. Fua 

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

Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces

A. Varol / P. Fua (Dir.)  

Lausanne: EPFL, 2012. DOI : 10.5075/epfl-thesis-5458.

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

Y. Park; V. Lepetit; W. Woo 

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

Data-Driven Visual Tracking in Retinal Microsurgery

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

2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October, 2012.

Efficient Scanning for EM Based Target Localization

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

2012. 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Nice, France, October, 2012.

Structured Image Segmentation using Kernelized Features

A. Lucchi; Y. Li; K. Smith; P. Fua 

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

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

R. Rigamonti; V. Lepetit 

2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October 1-5, 2012.

Learning Separable Filters

R. Rigamonti; V. Lepetit; P. Fua 

2012

Laplacian Meshes for Monocular 3D Shape Recovery

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

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

Learning Context Cues for Synapse Segmentation in EM Volumes

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

2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).

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

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

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

Gradient Response Maps for Real-Time Detection of Textureless Objects

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

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

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

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

2012. Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 2012.

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

E. Türetken; F. Benmansour; P. Fua 

2012. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 16-21, 2012.

A Constrained Latent Variable Model

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

2012. IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 16-21, 2012.

AUTOMATIC MAPPING FROM ULTRA-LIGHT UAV IMAGERY

C. Strecha; O. Küng; P. Fua 

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

Learning to Detect Objects with Minimal Supervision

K. Ali / P. Fua; F. Fleuret (Dir.)  

Lausanne: EPFL, 2012. DOI : 10.5075/epfl-thesis-5310.

LDAHash: Improved Matching with Smaller Descriptors

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

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

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

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

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

BRIEF: Computing a Local Binary Descriptor Very Fast

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

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

A Real-Time Deformable Detector

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

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

Monocular 3D Reconstruction of Locally Textured Surfaces

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

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

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

E. Tola; C. Strecha; P. Fua 

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

myCopter – Enabling Technologies for Personal Aerial Transportation Systems

F. M. Nieuwenhuizen; M. Jump; M. White; P. Perfect; P. Padfield et al. 

2011. International HELI World Conference, Frankfurt/Main, Germany, 2011.

myCopter – Enabling Technologies for Personal Aerial Transportation Systems.

M. Jump; P. Perfect; G. D. Padfield; M. D. White; D. Floreano et al. 

2011. European Rotorcraft Forum, Vergiate/Gallarate, Italy, September 13-15, 2011.

Learning parameterized histogram kernels on the simplex manifold for image and action classification

V. Ablavsky; S. Sclaroff 

2011. IEEE International Conference on Computer Vision (ICCV), Barcelona, SPAIN, Nov 06-13, 2011. p. 1473-1480.

Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs

J. Vandemeulebroucke; S. Rit; J. Kybic; P. Clarysse; D. Sarrut 

Medical Physics. 2011. Vol. 38, p. 166-178. DOI : 10.1118/1.3523619.

Extended Keyframe Detection with Stable Tracking for Multiple 3D Object Tracking

Y. Park; V. Lepetit; W. Woo 

IEEE Transactions On Visualization And Computer Graphics. 2011. Vol. 17, p. 1728-1735. DOI : 10.1109/TVCG.2010.262.

Simplified Building Models Extraction From Ultra-Light UAV Imagery

O. Küng; C. Strecha; P. Fua; D. Gurdan; M. Achtelik et al. 

2011. UAV-g 2011 - Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.

Long Term Real Trajectory Reuse Through Region Goal Satisfaction

J. Ahn; S. Gobron; Q. Silvestre; H. Ben Shitrit; M. Raca et al. 

2011. International Conference on Motion in Games (MIG), Edinburgh, UK, November 13-15, 2011. p. 412-423. DOI : 10.1007/978-3-642-25090-3_35.

PHOTOGRAMMETRIC PERFORMANCE OF AN ULTRA LIGHT WEIGHT SWINGLET UAV

J. Vallet; F. Panissod; C. Strecha; M. Tracol 

2011. UAV-g , Zürich, September 14-16, 2011.

Are Spatial and Global Constraints Really Necessary for Segmentation?

A. Lucchi; Y. Li; X. Boix Bosch; K. Smith; P. Fua 

2011. IEEE International Conference on Computer Vision (ICCV), Barcelona, p. 9-16.

The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery

O. Küng; C. Strecha; A. Beyeler; J-C. Zufferey; D. Floreano et al. 

2011. UAV-g 2011 - Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.

Rotational Features Extraction for Ridge Detection

G. González Serrano; F. Fleuret; F. Aguet; F. Benmansour; M. Unser et al. 

2011

Conditional Random Fields for Multi-Camera Object Detection

G. Roig Noguera; X. Boix Bosch; H. Ben Shitrit; P. Fua 

2011. International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011.

Tracking Multiple People under Global Appearance Constraints

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

2011. International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011. p. 137-144.

Spatio-Chromatic Decorrelation by Shift-Invariant Filtering

M. Brown; S. Süsstrunk; P. Fua 

2011. IEEE CVPR Workshop on Biologically Consistent Vision, Colorado Springs, CO, USA, June 2011. DOI : 10.1109/CVPRW.2011.5981688.

Multispectral Interest Points for RGB-NIR Image Registration

D. Firmenich; M. Brown; S. Süsstrunk 

2011. IEEE International Conference on Image Processing, Brussels, Belgium, September 2011. DOI : 10.1109/ICIP.2011.6115818.

Multispectral SIFT for Scene Category Recognition

M. Brown; S. Süsstrunk 

2011. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, CO, USA, June 2011. p. 177-184. DOI : 10.1109/CVPR.2011.5995637.

Tracking Multiple Objects under Global Appearance Constraints

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

2011. Proceedings of the IEEE International Conference on Computer Vision. p. 137-144.

myCopter: Enabling Technologies for Personal Air Transport Systems

M. Jump; P. Padfield; M. White; D. Floreano; P. Fua et al. 

2011. RAeS Rotorcraft Conference: The Future Rotorcraft – Enabling Capability Through the Application of Technology, London, UK, 15-16th June 2011.

Are Sparse Representations Really Relevant for Image Classification?

R. Rigamonti; M. Brown; V. Lepetit 

2011. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, p. 1545-1552.

Filter Learning for Linear Structure Segmentation

R. Rigamonti; E. Türetken; G. González Serrano; P. Fua; V. Lepetit 

2011

Automated Quantification of Morphodynamics for High-Throughput Live Cell Imaging Datasets

G. González Serrano; L. Fusco; O. Pertz; K. Smith 

2011

Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors

E. Türetken; G. González Serrano; C. Blum; P. Fua 

Neuroinformatics. 2011. Vol. 9, p. 279-302. DOI : 10.1007/s12021-011-9122-1.

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

M. Salzmann; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. Vol. 33, num. 5, p. 931-944. DOI : 10.1109/TPAMI.2010.158.

Automated Detection and Delineation of Tree Structures in Noisy Micrographs

G. González Serrano / P. Fua; F. Fleuret (Dir.)  

Lausanne: EPFL, 2011. DOI : 10.5075/epfl-thesis-5065.

Multiple Object Tracking using K-Shortest Paths Optimization

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

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. Vol. 33, p. 1806--1819. DOI : 10.1109/TPAMI.2011.21.

FlowBoost - Appearance Learning from Sparsely Annotated Video

K. Ali; D. Hasler; F. Fleuret 

2011. IEEE International Conference on Computer Vision and Pattern Recognition. p. 1433-1440.

Learning Real-Time Perspective Patch Rectification

S. Hinterstoisser; V. Lepetit; S. Benhimane; P. Fua; N. Navab 

International Journal of Computer Vision. 2011. Vol. 91, num. 1, p. 107--130. DOI : 10.1007/s11263-010-0379-x.

Real-time vehicle tracking for driving assistance

A. Fossati; P. Schönmann; P. Fua 

Machine Vision and Applications. 2011. Vol. 22, num. 2, p. 439-448. DOI : 10.1007/s00138-009-0243-6.

Simultaneous Pose, Correspondence and Non-Rigid Shape

J. Sanchez-Riera; J. O. M. Östlund; P. Fua; F. Moreno Noguer 

2010. Conference on Computer Vision and Pattern Recognition.

Surface Construction by a 2-D Differentiation-Integration Process: A Neurocomputational Model for Perceived Border Ownership, Depth, and Lightness in Kanizsa Figures

N. Kogo; C. Strecha; L. Van Gool; J. Wagemans 

Psychological Review. 2010. Vol. 117, p. 406-439. DOI : 10.1037/a0019076.

Scalable real-time planar targets tracking for digilog books

K. Kim; V. Lepetit; W. Woo 

Visual Computer. 2010. Vol. 26, p. 1145-1154. DOI : 10.1007/s00371-010-0490-6.

Derivatives with respect to metrics and applications: subgradient marching algorithm

F. Benmansour; G. Carlier; G. Peyre; F. Santambrogio 

Numerische Mathematik. 2010. Vol. 116, p. 357-381. DOI : 10.1007/s00211-010-0305-8.

Pareto-optimal Dictionaries for Signatures

M. Calonder; V. Lepetit; P. Fua 

2010. Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, Jun 13-18, 2010. p. 3011-3018.

Delineating Trees in Noisy 2D Images and 3D Image Stacks

G. Gonzalez; E. Türetken; F. Fleuret; P. Fua 

2010. International Conference on Computer Vision and Pattern Recognition. p. 2799-2806.

Large occlusion completion using normal maps

E. Tola; A. Fossati; C. Strecha; P. Fua 

2010. Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010.

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

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

2010

L'Hydroptère: A story of a dream

J-M. Bourgeon; S. Dyen; D. Moyon; D. Schmäh; R. Amacher et al. 

2010. 21st HISWA International Symposium on Yacht Design and Yacht Construction, Amsterdam, The Netherlands, November 15-16, 2010.

Monocular 3D Reconstruction of Locally Textured Surfaces

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

2010

Is Sparsity Really Relevant for Image Classification?

R. Rigamonti; M. Brown; V. Lepetit 

2010

LDAHash: Improved matching with smaller descriptors

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

2010

Deformable Surface 3D Reconstruction from Monocular Images

M. Salzmann; P. Fua 

Morgan-Claypool, 2010.

Robust, High-Speed Interest Point Matching for Real-Time Applications

M. Calonder / P. Fua (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4868.

Least-Squares Minimization Under Constraints

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

2010

Combining Geometric and Appearance Priors for Robust Homography Estimation

E. Serradell; M. Özuysal; V. Lepetit; P. Fua; F. Moreno-Noguer 

2010. 

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

F. Moreno-Noguer; J. Porta; P. Fua 

2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010.

DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction

E. Tola / P. Fua (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4830.

A Closed-Form Solution for the Uniform Sampling of the Epipolar Line via Non-Uniform Depth Sampling

E. Tola 

2010

From Canonical Poses to 3D Motion Capture Using a Single Camera

A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2010. Vol. 32, num. 7, p. 1165-1181. DOI : 10.1109/TPAMI.2009.108.

Making Action Recognition Robust to Occlusions and Viewpoint Changes

D. Weinland; M. Özuysal; P. Fua 

2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010.

Reconstructing Geometrically Consistent Tree Structures from Noisy Images

E. Türetken; C. Blum; G. Gonzalez Serrano; P. Fua 

2010. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 20-24, 2010. p. 291-299.

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images

A. Lucchi; K. Smith; R. Achanta; V. Lepetit; P. Fua 

2010. International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, September 20-24, 2010.

View-Based Maps

K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al. 

International Journal of Robotics Research. 2010. Vol. 29, num. 8, p. 941-957. DOI : 10.1177/0278364910370376.

BRIEF: Binary Robust Independent Elementary Features

M. Calonder; V. Lepetit; C. Strecha; P. Fua 

2010. 11th European Conference on Computer Vision (ECCV). p. 778-792.

L'HYDROPTERE: HOW MULTIDISCIPLINARY SCIENTIFIC RESEARCH MAY HELP BREAK THE SAILING SPEED RECORD

M. Calmon; M. Farhat; P. Fua; K. Startchev; G. Bonnier et al. 

2010. 2nd INTERNATIONAL CONFERENCE ON INNOVATION IN HIGH PERFORMANCE SAILING YACHTS (Innov'Sail), Lorient, France, June 30 - 1st July 1st, 2010.

Learning Pose Invariant and Covariant Classifiers from Image Sequences

M. Özuysal / P. Fua; V. Lepetit (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4746.

Dynamic and Scalable Large Scale Image Reconstruction

C. Strecha; T. Pylvanainen; P. Fua 

2010. 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A, June 13-19, 2010.

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

A. Shaji; A. Varol; L. Torresani; P. Fua 

2010. 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A., June 13-19, 2010.

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

A. Fossati / P. Fua (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4699.

Pareto-optimal Dictionaries for Signatures

M. Calonder; V. Lepetit; P. Fua 

2010. Conference on Computer Vision and Pattern Recognition, June.

Fast Keypoint Recognition using Random Ferns

M. Özuysal; M. Calonder; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. Vol. 32, num. 3, p. 448-461. DOI : 10.1109/TPAMI.2009.23.

Pedestrian localization, tracking and behavior analysis from multiple cameras

J. Berclaz / P. Fua; F. Fleuret (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4629.

Daisy: An Efficient Dense Descriptor Applied to Wide Baseline Stereo

E. Tola; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. Vol. 32, num. 5, p. 815-830. DOI : 10.1109/TPAMI.2009.77.

Capturing 3D Stretchable Surfaces from Single Images in Closed Form

F. Moreno-Noguer; M. Salzmann; V. Lepetit; P. Fua 

2009. Computer Vision and Pattern Recognition (CVPR).

Training for Task Specific Keypoint Detection

C. Strecha; A. Lindner; K. Ali; P. Fua 

2009. DAGM Symposium on Pattern Recognition, Jena, GERMANY, Sep 09-11, 2009. p. 151-160.

Fast Ray Features for Learning Irregular Shapes

K. Smith; A. Carleton; V. Lepetit 

2009. 12th IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009. p. 397-404.

Compact Signatures for High-speed Interest Point Description and Matching

M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al. 

2009. IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009. p. 357-364.

EPnP: An Accurate O(n) Solution to the PnP Problem

V. Lepetit; F. Moreno-Noguer; P. Fua 

International Journal Of Computer Vision. 2009. Vol. 81, p. 155-166. DOI : 10.1007/s11263-008-0152-6.

Memories of the world of the mountains

C. Scherrer; J. Pilet; V. Lepetit; P. Fua 

Leonardo. 2009. Vol. 42, p. 350-355. DOI : 10.1162/leon.2009.42.4.350.

Temporally Consistent Layer Depth Ordering Via Pixel Voting For Pseudo 3D Representation

E. Turetken; A. A. Alatan 

2009. 3DTV Conference - True Vision - Capture, Transmission and Display of 3D Video, Potsdam, GERMANY, May 04-06, 2009. p. 257-260.

Effect of natural organic matter and green microalga on carboxyl-polyethylene glycol coated CdSe/ZnS quantum dots stability and transformations under freshwater conditions

V. I. Slaveykova; K. Startchev 

Environmental Pollution. 2009. Vol. 157, p. 3445-3450. DOI : 10.1016/j.envpol.2009.06.017.

Observable Subspaces for 3D Human Motion Recovery

A. Fossati; M. Salzmann; P. Fua 

2009. IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, June 22 - 24, 2009.

ESM-Blur: Handling and Rendering Blur in 3D Tracking and Augmentation

Y. Park; V. Lepetit; W. Woo 

2009. International Symposium on Mixed and Augmented Reality.

Compact Signatures for High-speed Interest Point Description and Matching

M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al. 

2009. International Conference on Computer Vision, September, 2009.

View-Based Maps

K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al. 

2009. Robotics: Science and Systems Conference, Seattle, June 2009.

Pose Estimation for Category Specific Multiview Object Localization

M. Özuysal; V. Lepetit; P. Fua 

2009. Conference on Computer Vision and Pattern Recognition, Miami, 2009. p. 778-785. DOI : 10.1109/CVPR.2009.5206633.

Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems

J. Berclaz; A. Shahrokni; F. Fleuret; J. Ferryman; P. Fua 

2009. Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA, June 20-25, 2009.

Joint Pose Estimator and Feature Learning for Object Detection

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

2009. IEEE International Conference on Computer Vision. p. 1373-1380.

Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

A. Shahrokni; T. Drummond; F. Fleuret; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009. 

Steerable Features for Statistical 3D Dendrite Detection

G. Gonzalez; F. Aguet; F. Fleuret; M. Unser; P. Fua 

2009. International Conference on Medical Image Computing and Computer Assisted Intervention. p. 625-632.

Learning Rotational Features for Filament Detection

G. Gonzalez; F. Fleuret; P. Fua 

2009. International Conference on Computer Vision and Pattern Recognition. p. 1582-1589.

Multiple Object Tracking using Flow Linear Programming

J. Berclaz; F. Fleuret; P. Fua 

2009

Multiple Object Tracking using Flow Linear Programming

J. Berclaz; F. Fleuret; P. Fua 

2009. 12th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (Winter-PETS 2009), Snowbird, Utah,

Image Summaries using Database Saliency

R. Achanta; A. Shaji; P. Fua; S. Süsstrunk 

2009. The 2nd ACM SIGGRAPH Conference and Exhibition in Asia (SIGGRAPH Asia), Yokohama, Japan, December 16-19, 2009.

Workflow Monitoring based on Multi-view Reconstruction

N. Padoy; D. Mateus; D. Weinland; M-O. Berger; N. Navab 

2009. ICCV Workshop on Video-Oriented Object and Event Classification, Kyoto, September 28, 2009.

Template-Free Monocular Reconstruction of Deformable Surfaces

A. Varol; M. Salzmann; E. Tola; P. Fua 

2009. International Conference on Computer Vision, Kyoto, September 27 - October 4, 2009.

Virtual View Generation with a Hybrid Camera Array

E. Tola; C. Zhang; Q. Cai; Z. Zhang 

2009

Specularities as an information source in the presence of texture

P. Lagger / P. Fua (Dir.)  

Lausanne: EPFL, 2009. DOI : 10.5075/epfl-thesis-4387.

Appearance-based Keypoint Clustering

F. J. Estrada; P. Fua; V. Lepetit; S. Süsstrunk 

2009. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami Beach, FL, USA, June 20-25, 2009. DOI : 10.1109/CVPR.2009.5206514.

Learning and recovering 3D surface deformations

M. Salzmann / P. Fua (Dir.)  

Lausanne: EPFL, 2009. DOI : 10.5075/epfl-thesis-4270.

Retrieving multiple light sources in the presence of specular reflections and texture

P. Lagger; P. Fua 

Computer Vision And Image Understanding. 2008. Vol. 111, p. 207-218. DOI : 10.1016/j.cviu.2007.11.002.

Local deformation models for monocular 3D shape recovery

M. Salzmann; R. Urtasun; P. Fua 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1213-1220.

3D pose refinement from reflections

P. Lagger; M. Salzmann; V. Lepetit; P. Fua 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1205-1212.

Keypoint Signatures for Fast Learning and Recognition

M. Calonder; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision , Marseille, FRANCE, Oct 12-18, 2008. p. 58-71.

Pose Priors for Simultaneously Solving Alignment and Correspondence

F. Moreno-Noguer; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 405-418.

Closed-Form Solution to Non-rigid 3D Surface Registration

M. Salzmann; F. Moreno-Noguer; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision , Marseille, FRANCE, Oct 12-18, 2008. p. 581-594.

Making Background Subtraction Robust to Sudden Illumination Changes

J. Pilet; C. Strecha; P. Fua 

2008. European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 567-580.

Multiple 3D Object Tracking for Augmented Reality

Y. Park; V. Lepetit; W. Woo 

2008. International Symposium on Mixed and Augmented Reality.

Automated Delineation of Dendritic Networks in Noisy Image Stacks

G. Gonzalez; F. Fleuret; P. Fua 

2008. European Conference on Computer Vision.

Multi-Camera People Tracking with a Probabilistic Occupancy Map

F. Fleuret; J. Berclaz; R. Lengagne; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2008. Vol. 30, num. 2, p. 267-282. DOI : 10.1109/TPAMI.2007.1174.

Principled Detection-by-classification from Multiple Views

J. Berclaz; F. Fleuret; P. Fua 

2008. proceedings of the International Conference on Computer Vision Theory and Applications.

Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps

J. Berclaz; F. Fleuret; P. Fua 

2008. Proceedings of the 10th European Conference on Computer Vision, Marseille, October 12-18, 2008.

Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation

J. Pilet; V. Lepetit; P. Fua 

International Journal of Computer Vision. 2008. Vol. 76, num. 2, p. 109-122. DOI : 10.1007/s11263-006-0017-9.

Tracking Articulated Bodies using Generalized Expectation Maximization

A. Fossati; E. Arnaud; R. Horaud; P. Fua 

2008. CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Anchorage, June 27-28, 2006.

Linking Pose and Motion

A. Fossati; P. Fua 

2008. European Conference on Computer Vision, Marseille, October 12-18, 2008.

Automated Delineation of Dendritic Networks in Noisy Image Stacks

G. Gonzalez; F. Fleuret; P. Fua 

2008. European Conference on Computer Vision, Marseille, October 13-16, 2008. p. 214-227.

Keypoint Signatures for Fast Learning and Recognition

M. Calonder; V. Lepetit; P. Fua 

2008. European Conference on Computer Vision, Marseilles, October 2008.

On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery

C. Strecha; W. von Hansen; L. Van Gool; P. Fua; U. Thoennessen 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, June 24-26, 2008.

IA Generative Model for True Orthorectification

C. Strecha; L. Van Gool; P. Fua 

2008. ISPRS Congress, Beijing, 2008. p. 303-308.

General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy

K. Smith; A. Carleton; V. Lepetit 

2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, June 2008.

A Generative Model for True Orthorectification

C. Strecha; L. Van Gool; P. Fua 

2008. ISPRS Congress Beijing 2008, Beijing, 2008.

Principled Detection-by-Classification from Multiple Views

J. Berclaz; F. Fleuret; P. Fua 

2008. International Conference on Computer Vision Theory and Applications, Funchal, Madeira, January 22-25, 2008. p. 375-382.

A fast local descriptor for dense matching

E. Tola; V. Lepetit; P. Fua 

2008. Conference on Computer Vision and Pattern Recognition, Alaska, USA, June 24-26, 2008.

Augmented reality for non-rigid surfaces

J. Pilet / P. Fua (Dir.)  

Lausanne: EPFL, 2008. DOI : 10.5075/epfl-thesis-4192.

Accurate non-iterative O(n) solution to the PnP problem

F. Moreno-Noguer; V. Lepetit; P. Fua 

2007. 11th IEEE International Conference on Computer Vision, Rio de Janeiro, BRAZIL, Oct 14-21, 2007. p. 2252-2259.

Surface Deformation Models for Non-Rigid 3--D Shape Recovery

M. Salzmann; J. Pilet; S. Ilic; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2007. Vol. 29, num. 8, p. 1481-1487. DOI : 10.1109/TPAMI.2007.1080.

Implicit Meshes for Effective Silhouette Handling

S. Ilic; M. Salzmann; P. Fua 

International Journal of Computer Vision. 2007. Vol. 22, num. 2, p. 159-178. DOI : 10.1007/s11263-006-8595-0.

Accurate Non-Iterative O(n) Solution to the PnP Problem

F. Moreno-Noguer; V. Lepetit; P. Fua 

2007. International Conference on Computer Vision, 2007.

Calibration automatique d’une caméra

F. Gilliéron 

2007.

Retexturing in the Presence of Complex Illumination and Occlusions

J. Pilet; V. Lepetit; P. Fua 

2007. International Symposium on Mixed and Augmented Reality, Nara, Japan, November, 2007.

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua 

2007. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 17-22, 2007. p. 1-8.

Robust Multi-View Change Detection

A. Lanza; L. Di Stefano; J. Berclaz; F. Fleuret; P. Fua 

2007. British Machine Vision Conference, Warwick, September 10-13, 2007.

Fast Keypoint Recognition in Ten Lines of Code

M. Ozuysal; P. Fua; V. Lepetit 

2007. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 18-23, 2007.

Spatio-temporal human pose detection

M. Dimitrijevic / P. Fua (Dir.)  

Lausanne: EPFL, 2007. DOI : 10.5075/epfl-thesis-3903.

Dendrite Tracking in Microscopic Images using Minimum Spanning Trees and Localized E-M

F. Fleuret; P. Fua 

2006

Human body pose detection using Bayesian spatio-temporal templates

M. Dimitrijevic; V. Lepetit; P. Fua 

Computer Vision and Image Understanding. 2006. Vol. 104, num. 2-3, p. 127-139.

Temporal Motion Models for Monocular and Multiview 3–D Human Body Tracking

R. Urtasun; D. Fleet; P. Fua 

Computer Vision and Image Understanding. 2006. Vol. 104, num. 2-3.

3D people tracking with Gaussian process dynamical models

R. Urtasun; D. Fleet; P. Fua 

2006. Computer Vision and Pattern Recognition, June, 2006.

EKF SLAM vs. FastSLAM -- A comparison

M. Calonder 

2006

An all-in-one solution to geometric and photometric calibration

J. Pilet; A. Geiger; P. Lagger; V. Lepetit; P. Fua 

2006. International Symposium on Mixed and Augmented Reality, Santa Barbara, CA, October 2006.

Combined Depth and Outlier Estimation in Multi-View Stereo

C. Strecha; R. Fransens; L. Van Gool 

2006. IEEE Conference on Computer Vision and Pattern Recognition, New York, June 17-22, 2006.

Robust People Tracking with Global Trajectory Optimization

J. Berclaz; F. Fleuret; P. Fua 

2006. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, June 17-22, 2006 . p. 744-750.

Feature Harvesting for Tracking-by-Detection

M. Ozuysal; V. Lepetit; F. Fleuret; P. Fua 

2006. European Conference on Computer Vision, Graz, May 7-13, 2006. p. 592-605.

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

H. Dejnabadi; B. M. Jolles; E. Casanova; P. Fua; K. Aminian 

Ieee Transactions on Biomedical Engineering. 2006. Vol. 53, num. 7, p. 1385-1393. DOI : 10.1109/TBME.2006.873678.

Motion models for robust 3D human body tracking

R. Urtasun Sotil / P. Fua (Dir.)  

Lausanne: EPFL, 2006. DOI : 10.5075/epfl-thesis-3541.

Implicit Meshes for Surface Reconstruction

S. Ilic; P. Fua 

Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2006. Vol. 28, num. 2, p. 328-333.

Keypoint Recognition using Randomized Trees

V. Lepetit; P. Fua 

Transactions on Pattern Analysis and Machine Intelligence. 2006. Vol. 28, num. 9, p. 1465-1479.

An Investigation of Model Bias in 3D Face Tracking

D. Fidaleo; G. Medioni; P. Fua; V. Lepetit 

2005. Conference on Analysis and Modelling of Faces and Gestures.

Augmenting Deformable Objects in Real-Time

J. Pilet; V. Lepetit; P. Fua 

2005. International Symposium on Mixed and Augmented Reality, Vienna, Austria, October 2005.

Real-Time Non-Rigid Surface Detection

J. Pilet; V. Lepetit; P. Fua 

2005. Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 2005.

Implicit Surfaces Make for Better Silhouettes

S. Ilic; M. Salzmann; P. Fua 

2005.  p. 1135-1142.

Priors for People Tracking from Small Training Sets

R. Urtasun; D. J. Fleet; A. Hertzmann; P. Fua 

2005. International Conference in Computer Vision.

Classifier-based Contour Tracking for Rigid and Deformable Objects

A. Shahrokni; F. Fleuret; P. Fua 

2005. British Machine Vision Conference.

Monocular 3--D Tracking of the Golf Swing

R. Urtasun; D. Fleet; P. Fua 

2005. Conference on Computer Vision and Pattern Recognition. p. 932-939.

Fast Texture-Based Tracking and Delineation Using Texture Entropy

A. Shahrokni; T. Drummond; P. Fua 

2005. 

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

M. Salzmann; S. Ilic; P. Fua 

2005. 

Real-Time Non-Rigid Surface Detection

J. Pilet; V. Lepetit; P. Fua 

2005. 

Randomized Trees for Real-Time Keypoint Recognition

V. Lepetit; P. Lagger; P. Fua 

2005. 

Fixed Point Probability Field for Complex Occlusion Handling

F. Fleuret; R. Lengagne; P. Fua 

2005. 

Human Body Pose Recognition Using Spatio-Temporal Templates

M. Dimitrijevic; V. Lepetit; P. Fua 

2005. ICCV workshop on Modeling People and Human Interaction, Beijing, China,

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

L. Herda; R. Urtasun; P. Fua 

Computer Vision and Image Understanding. 2005. Vol. 99, num. 2, p. 189-209. DOI : 10.1016/j.cviu.2005.01.005.

Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

V. Lepetit; P. Fua 

Foundations and Trends in Computer Graphics and Vision. 2005. Vol. 1, num. 1, p. 1-89.

Probabilistic modeling of texture transition for fast tracking and delineation

S. A. Shahrokni / P. Fua (Dir.)  

Lausanne: EPFL, 2005. DOI : 10.5075/epfl-thesis-3377.

Multiple Light Sources Recovery in the Presence of Specularities and Texture

P. Lagger; P. Fua 

2005

Pattern Recognition from One Example by Chopping

F. Fleuret; G. Blanchard 

2005

Parameterizing Deformable Surfaces for Monocular 3--D Tracking

M. Salzmann; S. Ilic; P. Fua 

2005

Implicit meshes

S. Ilic / P. Fua (Dir.)  

Lausanne: EPFL, 2005. DOI : 10.5075/epfl-thesis-3243.

Acoustic Echo Cancellation for Human-Robot Communications

J. Berclaz 

2004.

Wide-baseline Stereo from Multiple Views: a Probabilistic Account

C. Strecha; R. Fransen; L. Van Gool 

2004. IEEE Conference on Computer Vision and Pattern Recognition, Washington, June 27 - July 2, 2004 . p. 552-559.

Stable Real-Time AR Framework for Training and Planning in Industrial Environments

L. Vacchetti; V. Lepetit; G. Papagiannakis; M. Ponder; P. Fua et al. 

Virtual and Augmented Reality Applications in Manufacturing; Springer-Verlag, 2004.

Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture

L. Herda; R. Urtasun; P. Fua 

2004. European Conference on Computer Vision.

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

M. Dimitrijevic; S. Ilic; P. Fua 

2004. Conference on Computer Vision and Pattern Recognition.

Markov-based Silhouette Extraction for Three--Dimensional Body Tracking in Presence of Cluttered Background

A. Shahrokni; T. Drummond; P. Fua 

2004. British Machine Vision Conference.

Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking

L. Vacchetti; V. Lepetit; P. Fua 

2004. International Symposium on Mixed and Augmented Reality, Arlington, VA,

A Stable Real-Time AR Framework for Training and Planning in Industrial Environments

L. Vacchetti; V. Lepetit; M. Ponder; G. Papagiannakis; D. Thalmann et al. 

2004.  p. 129-146.

3--D Human Body Tracking using Deterministic Temporal Motion Models

R. Urtasun; P. Fua 

2004. European Conference on Computer Vision.

Human Motion Models for Characterization and Recognition

R. Urtasun; P. Fua 

2004. 

Texture Boundary Detection for Real-Time Tracking

A. Shahrokni; T. Drummond; P. Fua 

2004. 

Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation

V. Lepetit; J. Pilet; P. Fua 

2004. 

3--D Motion Analysis and Synthesis from Inertial Gyroscopes and Image Data

E. Casanova; H. Dejnabadi; B. Jolles; K. Aminian; P. Fua 

2004. 

Stable Real-Time 3D Tracking Using Online and Offline Information

L. Vacchetti; V. Lepetit; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004. Vol. 26, num. 10, p. 1391-1391. DOI : 10.1109/TPAMI.2004.92.

Style-based Motion Synthesis

R. Urtasun; P. Glardon; R. Boulic; D. Thalmann; P. Fua 

Computer Graphics Forum. 2004. Vol. 23, num. 4, p. 799-812. DOI : 10.1111/j.1467-8659.2004.00809.x.

Implicit Meshes Make for Better Silhouettes

S. Ilic; M. Salzmann; P. Fua 

2004

Randomized Trees for Real-Time Keypoint Recognition

V. Lepetit; P. Lagger; P. Fua 

2004

Monocular 3-D Tracking of the Golf Swing

R. Urtasun; D. Fleet; P. Fua 

2004

Fast Texture-Based Tracking and Delineation Using Texture Entropy

A. Shahrokni; T. Drummond; P. Fua 

2004

Fixed Point Probability Field for Occlusion Handling

F. Fleuret; R. Lengagne; P. Fua 

2004

Real-time non-rigid surface detection

J. Pilet; V. Lepetit; P. Fua 

2004

Towards Recognizing Feature Points using Classification Trees

V. Lepetit; P. Fua 

2004

Implicit Meshes for Surface Reconstruction

S. Ilic; P. Fua 

2004

Mahalanobis Motion Generation

R. Urtasun; P. Glardon; D. Thalmann; P. Fua 

2004

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

L. Herda; R. Urtasun; P. Fua 

2004

Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation

V. Lepetit; J. Pilet; P. Fua 

2004

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

M. Dimitrijevic; S. Ilic; P. Fua 

2004

3D Tracking for Gait Characterization and Recognition

R. Urtasun; P. Fua 

2004

3D Human Body Tracking using Deterministic Temporal Motion Models

R. Urtasun; P. Fua 

2004

Multi modal tracking in complex environments for augmented reality applications

L. Vacchetti / P. Fua (Dir.)  

Lausanne: EPFL, 2004. DOI : 10.5075/epfl-thesis-3114.

Using biomechanical constraints to improve video-based motion capture

L. Herda / P. Fua (Dir.)  

Lausanne: EPFL, 2004. DOI : 10.5075/epfl-thesis-2892.

Dense Matching of Multiple Wide-baseline Views

C. Strecha; T. Tuytelaars; L. Van Gool 

2003. 9th IEEE International Conference on Computer Vision, Nice, October 13-16, 2003. p. 1194-1201.

Least Squares Matching Tracking Algorithm for Human Body Modeling

N. D'Apuzzo; A. Gruen; R. Plaenkers; P. Fua 

2003. XIX Congress for the International Society for Photogrammetry and Remote Sensing Congress, Amsterdam, Netherlands, 16-23 July 2003. p. 2000.

Robust tracking and segmentation of human motion in an image sequence

J. J. Gonzalez; L. Ik Soo; P. Fua; D. Thalmann 

2003. DOI : 10.1109/ICASSP.2003.1199099.

Real-time augmented face

V. Lepetit; L. Vacchetti; D. Thalmann; P. Fua 

2003. International Symposium on Mixed and Augmented Reality. DOI : 10.1109/ISMAR.2003.1240753.

Fully Automated and Stable Registration for Augmented Reality Applications

V. Lepetit; L. Vacchetti; D. Thalmann; P. Fua 

2003. International Symposium on Mixed and Augmented Reality, Tokyo, Japan, DOI : 10.1109/ISMAR.2003.1240692.

Golf Club Visual Tracking for Enhanced Swing Analysis Tools

N. Gehrig; V. Lepetit; P. Fua 

2003. 

Fusing Online and Offline Information for Stable 3D Tracking in Real-Time

L. Vacchetti; V. Lepetit; P. Fua 

2003. Conference on Computer Vision and Pattern Recognition.

Robust Data Association For Online Applications

V. Lepetit; A. Shahrokni; P. Fua 

2003. 

Bundle Adjustment for Markerless Body Tracking in Monocular Video Sequences

A. Shahrokni; V. Lepetit; P. Fua 

2003. 

From Explicit to Implicit Surfaces for Visualization, Animation and Modeling

S. Ilic; P. Fua 

2003. 

Implicit Meshes for Modeling and Reconstruction

S. Ilic; P. Fua 

2003. 

Stable Real-Time Interaction Between Virtual Humans and Real Scenes

L. Vacchetti; V. Lepetit; G. Papagiannakis; M. Ponder; P. Fua et al. 

2003. International Conference on 3-D Digital Imaging and Modeling..

Generic Deformable Implicit Mesh Models for Automated Reconstruction

S. Ilic; P. Fua 

2003. 

Articulated Soft Objects for Multi-View Shape and Motion Capture

R. Plankers; P. Fua 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2003. Vol. 25, num. 10, p. 63-83. DOI : 10.1109/TPAMI.2003.1227995.

Self-consistency and MDL: a paradigm for evaluating point correspondence algorithms and detecting change

Y. G. Leclerc; Q. T. Luong; P. Fua 

International Journal of Computer Vision. 2003. Vol. 51, num. 1, p. 63-83. DOI : 10.1023/A:1020940807324.

Automatic Determination of Shoulder Joint Limits using Experimentally Determined Quaternion Field Boundaries

L. Herda; R. Urtasun; A. Hanson; P. Fua 

International Journal of Robotics Research. 2003. Vol. 22, num. 6.

Model-Based Silhouette Extraction for Accurate People Tracking

R. Plankers; P. Fua 

2002. 

Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data

S. Ilic; P. Fua 

2002. European Conference on Computer Vision (ECCV), Copenhagen, Denmark.

Markerless Full Body Shape and Motion Capture from Video Sequences

P. Fua; A. Gruen; N. D'Apuzzo; R. Plankers 

2002. 

Recovery of Reflectances and Varying Illuminants from Multiple Views

Q. T. Luong; P. Fua; Y. G. Leclerc 

2002. 

An Automatic Method For Determining Quaternion Field Boundaries for Ball-and-Socket Joint Limits

L. Herda; R. Urtasun; A. Hanson; P. Fua 

2002. Automated Face and Gesture Recognition.

Polyhedral object detection and pose estimation for augmented reality applications

A. Shahrokni; L. Vacchetti; P. Fua 

2002. 

The radiometry of multiple images

Q. T. Luong; P. Fua; Y. G. Leclerc 

IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002. Vol. 24, num. 1, p. 19-33. DOI : 10.1109/34.982882.

Real-Time 3D Object Recognition for Automatic Tracker Initialization

G. Blasko; P. Fua 

2001. International Symposium on Augmented Reality, Newyork, USA, 29-30 October, 2001. p. 175-176. DOI : 10.1109/ISAR.2001.970529.

Interaction Techniques with Virtual Humans in Mixed Environments

S. Balcisoy; M. Kallmann; R. Torre; P. Fua; D. Thalmann 

2001. International Symposium on Mixed Reality, Tokyo, Japan,

Using skeleton-based tracking to increase the reliability of optical motion capture

L. Herda; P. Fua; R. Plankers; R. Boulic; D. Thalmann 

Human Movement Science. 2001. Vol. 20, num. 3, p. 313-41. DOI : 10.1016/S0167-9457(01)00050-1.

Tracking and Modeling People in Video Sequences

R. Plankers; P. Fua 

Computer Vision and Image Understanding. 2001. Vol. 81, num. 3, p. 285-302.

Interaction Techniques with Virtual Humans in Mixed Environments

S. Balsicoy; M. Kallmann; R. Torre; P. Fua; D. Thalmann 

2001. 

On Implicit Modeling for Fitting Purposes

R. Plankers; P. Fua 

2001. 

Incorporating Differential Constraints in the 3D Reconstruction Process : Application to Stereo

R. Lengagne; P. Fua 

2001. International Conference on Computer Vision, Vancouver, Canada.

Articulated Soft Objects for Video-based Body Modeling

R. Plankers; P. Fua 

2001. International Conference on Computer Vision, Vancouver, Canada. p. 394-401.

Human body modeling from video sequences

R. Plänkers / P. Fua (Dir.)  

Lausanne: EPFL, 2001. DOI : 10.5075/epfl-thesis-2493.

Handling Occlusion in Augmented Reality Systems: A Semi-Automatic Method

V. Lepetit; M-O. Berger 

2000. IEEE and ACM International Symposium on Augmented Reality.

Interaction Between Real and Virtual Humans: Playing Checkers

R. Torre; P. Fua; S. Balcisoy; M. Ponder; D. Thalmann 

2000. Eurographics Workshop On Virtual Environments 2000, Interlaken, Switzerland, 20-25 August.

Augmented reality for real and virtual humans

S. Balcisoy; R. Torre; M. Ponder; P. Fua; D. Thalmann 

2000. Computer Graphics International 2000, Geneva, Switzerland, DOI : 10.1109/CGI.2000.852346.

Skeleton-based motion capture for robust reconstruction of human motion

L. Herda; P. Fua; R. Plankers; R. Boulic; D. Thalmann 

2000. Computer Animation, Philadelphia, PA, USA, DOI : 10.1109/CA.2000.889046.

Interaction Between Real and Virtual Humans: Playing Checkers

R. Torre; S. Balcisoy; P. Fua; D. Thalmann 

2000. 

Augmented Reality for Real and Virtual Humans

S. Balcisoy; R. Torre; M. Ponder; P. Fua; D. Thalmann 

2000. 

A Framework for Rapid Evaluation of Prototypes with Augmented Reality

S. Balcisoy; P. Fua; M. Kallmann; D. Thalmann 

2000. 

Variable Albedo Surface Reconstruction from Stereo and Shape from Shading

D. Samaras; D. Metaxas; P. Fua; Y. Leclerc 

2000. 

Measuring the Self-Consistency of Stereo Algorithm

Y. G. Leclerc; Q. T. Luong; P. Fua 

2000. 

Detecting Changes in 3-D Shape using Self-Consistency

Y. G. Leclerc; Q. T. Luong; P. Fua 

2000. 

Human Shape and Motion Recovery Using Animation Models

P. Fua; L. Herda; R. Plankers; R. Boulic 

2000. 

Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data

P. Fua 

International Journal of Computer Vision. 2000. Vol. 38, num. 2, p. 153-157. DOI : 10.1023/A:1008105802790.

3--D Stereo Reconstruction of Human Faces driven by Differential Constraints Image and Vision Computing

R. Lengagne; P. Fua; O. Monga 

Image and Vision Computing. 2000. Vol. 18, num. 4, p. 337-343. DOI : 10.1016/S0262-8856(99)00058-X.

Animated heads from ordinary images: a least-squares approach

P. Fua; C. Miccio 

Computer Vision and Image Understanding. 1999. Vol. 75, num. 3, p. 247-259. DOI : 10.1006/cviu.1999.0778.

From synthesis to analysis: fitting human animation models to image data

P. Fua; R. Plankers; D. Thalmann 

1999. Computer Graphics International 1999, Canmore, Alberta, Canada, DOI : 10.1109/CGI.1999.777889.

Automated body modeling from video sequences

R. Plankers; P. Fua; N. D'Apuzzo 

1999. ICCV Workshop on Modelling People, Corfu, Greece, 20 September. DOI : 10.1109/PEOPLE.1999.798345.

Characterizingthe Performance of Multiple-image Point-correspondence Algorithms usingSelf-Consistency

Y. G. Leclerc; Q. T. Luong; P. Fua 

1999. 

Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms

Y. G. Leclerc; Q. T. Luong; P. Fua 

1999. 

Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences

P. Fua 

1999.  p. 46-53.

Modeling Heads from Uncalibrated Video Sequences

P. Fua 

1999. 

UsingModel-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences

P. Fua 

Geomatics Info Magazine. 1999. Vol. 13, num. 7, p. 63-65.

Human Body Modeling and Motion Analysis From Video Sequences

P. Fua; A. Gruen; R. Plaenkers; N. D'Apuzzo; D. Thalmann 

1998. International Symposium on Real Time Imaging and Dynamic Analysis, Hakodate, Japan, June, 1998.

FaceModels from Uncalibrated Video Sequences

P. Fua 

Modeling and Motion Capture Techniques for Virtual Environments, , SpringerLecture Notesin Artificial Intelligence. 1998. num. 1537, p. 214-228.

Modeling human bodies from video sequences

N. D'Apuzzo; R. Plankers; P. Fua; A. Gruen; D. Thalmann 

1998.  p. 36-47. DOI : 10.1117/12.333796.

From regular images to animated heads: a least squares approach

P. Fua; C. Miccio 

1998. 5th European Conference on Computer Vision., Freiburg, Germany, June, 1998.

Local and global skeleton fitting techniques for optical motion capture

M. C. Silaghi; R. Plankers; R. Boulic; P. Fua; D. Thalmann 

1998. Modelling and Motion Capture Techniques for Virtual Environments, Geneva, Switzerland, 26-27 November, 1998. p. 26-40.

Local and Global Skeleton Fitting Techniques for Optical Motion Capture

M-C. Silaghi; R. Plaenkers; R. Boulic; P. Fua; D. Thalmann 

1998.  p. 26-40. DOI : 10.1007/3-540-49384-0_3.

Fast, Accurate and Consistent Modeling of Drainage and Surrounding Terrain

P. Fua 

International Journal of Computer Vision. 1998. Vol. 26, num. 3, p. 1-20. DOI : 10.1023/A:1007905112118.

3-D Face Modeling from Stereo and Differential Constraints Paradigm

R. Lengagne; P. Fua; O. Monga 

1998. International Conference on Automatic Face and Gesture Recognition, Nara, Japan,

3-D Stereo Reconstruction of Human Faces driven by Differential Constraints

R. Lengagne; P. Fua; O. Monga 

1998. ECCV workshop on Advances in Facial Image Analysis and Recognition Technology, Freiburg, Germany,

Realistic Human Body Modeling

P. Fua; R. Plankers; D. Thalmann 

1998. 

Face Models from Uncalibrated Video Sequences

P. Fua 

1998.  p. 214-228.

Fitting Sophisticated Facial Animation Models to Image Data

P. Fua; C. Miccio 

1997. Optical3--D Measurement Techniques Conference, Zurich, Switzerland, September,.

Model-Based Optimization: An Approach to Fast, Accurate, and Consistent Site Modeling from Imagery

P. Fua 

1997.  p. 903-908.

Using Differential Constraints to Reconstruct Complex Shapes from Stereo

R. Lengagne; O. Monga; P. Fua 

1997. Conference on Computer Vision and Pattern Recognition, Puerto Rico, USA,

Model-Based Approach to Accurate and Consistent 3-D Modeling of Drainage and Surrounding Terrain

P. Fua 

1997.  p. 903-908.

From Multiple Stereo Views to Multiple 3-D Surfaces

P. Fua 

International Journal of Computer Vision (IJCV). 1997. Vol. 24, num. 1, p. 19-35. DOI : 10.1023/A:1007918123901.

Imposing Hard Constraints on Deformable Models Through Optimization in Orthogonal Subspaces

P. Fua; C. Brechbuehler 

Computer Vision and Image Understanding. 1997. Vol. 24, num. 1, p. 19-35.

Ziplock Snakes

W. Neuenschwander; P. Fua; G. Szekely; O. Kubler 

International Journal of Computer Vision. 1997. Vol. 26, num. 3, p. 191-201.

Using Crest Line to Guide Surface Reconstruction from Stereo

R. Lengagne; P. Fua; O. Monga 

1996. International Conference on Pattern Recognition, Vienna, Austria,

Imposing Hard Constraints on Soft Snakes

P. Fua; C. Brechbuehler 

1996. European Conference on Computer Vision, Cambridge, England,

Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery

F. Bignone; O. Henricsson; P. Fua; M. Stricker 

1996. European Conference on Computer Vision, Cambridge, Cambridge, UK, April 15-18, 1996.

Model-Based Optimization: Accurate and Consistent Site Modeling

P. Fua 

1996. 18th Congress of International Society for Photogrammetry and Remote Sensing, Vienna, Austria,

Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3--D Surfaces

P. Fua; Y. G. Leclerc 

Computer Vision and Image Understanding. 1996. Vol. 64, num. 1, p. 111-127. DOI : 10.1006/cviu.1996.0048.

Reconstructing Complex Surfaces from Multiple Stereo Views

P. Fua 

1995. International Conference on Computer Vision, Cambridge, MA,

Surface Reconstruction Using 3--D Meshes And Particle Systems

P. Fua 

1995. International Workshop on High Precision Navigation, Stuttgart, Germany,

Velcro Surfaces

W. Neuenschwander; P. Fua; G. Szekely; O. Kuebler 

1995. International Conference on Computer Vision, Cambridge, MA,

Parametric Models are Versatile: The Case of Model Based Optimization

P. Fua 

1995. International Society for Photogrammetry and Remote Sensing Joint Workshop, Stockholm, Sweden,

Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading

P. Fua; Y. G. Leclerc 

International Journal of Computer Vision. 1995. Vol. 16, num. 1, p. 35-56. DOI : 10.1007/BF01428192.

Registration Without Correspondences

P. Fua; Y. G. Leclerc 

1994. Conference on Computer Vision and Pattern Recognition, Seattle, WA,

Making Snakes Converge from Minimal Initialization

W. Neuenschwander; P. Fua; G. Szekely; O. Kuebler 

1994. International Conference on Pattern Recognition, Jerusalem, Israel,

Using 3--Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints

P. Fua; Y. Leclerc 

1994. European Conference on Computer Vision, Stockholm, Sweden, 1994.

Initializing Snakes

W. Neuenschwander; P. Fua; G. Szekely; O. Kuebler 

1994. Conference on Computer Vision and Pattern Recognition, Seattle, WA,

Using contextual information to set control parameters of a vision process

S. Houzelle; T. M. Strat; P. Fua; M. A. Fischler 

1994.  p. 830-836.

Real time correlation-based stereo: algorithm, implementations and applications

O. Faugeras; B. Hotz; H. Mathieu; T. Viéville; Z. Zhang et al. 

1993

Incremental Construction of Local D.E.M for an Autonomous Planetary Rover

B. Hotz; Z. Zhang; P. Fua 

1993.  p. 33-43.

A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features

P. Fua 

Machine Vision and Applications. 1993. Vol. 6, num. 1, p. 35-49. DOI : 10.1007/BF01212430.

Autonomous Planetary Rover (V.A.P): On-board Perception System Concept and Stereovision by Correlation Approach

L. Boissier; C. Proy; B. Hotz; O. Faugeras; P. Fua 

1992.  p. 181-186.

Segmenting Unstructured 3--D Points Into Surfaces

P. Fua; P. Sander 

1992.  p. 676-680.

Quantitative and Qualitative Comparison of Some Area and Feature-based Stereo Algorithms

O. Faugeras; P. Fua; B. Hotz; R. Ma; L. Robert et al. 

1992.  p. 1-26.

Computational Strategies for Object Recognition

P. Suetens; P. Fua; A. Hanson 

ACM computing surveys. 1992. Vol. 24, num. 1, p. 5-61. DOI : 10.1145/128762.128763.

Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Depth Discontinuities

P. Fua 

1991. International Joint Conference on Artificial Intelligence (IJCAI), Sydney, Australia,

An Optimization Framework for Feature Extraction

P. Fua; A. J. Hanson 

Machine Vision and Applications. 1991. Vol. 4, num. 2, p. 59-87. DOI : 10.1007/BF01257823.

Model Driven Edge Detection

P. Fua; Y. G. Leclerc 

Machine Vision and Applications. 1990. Vol. 3, num. 1, p. 45-56. DOI : 10.1007/BF01211451.

Object Delineation as an Optimization Problem

P. Fua 

1989. International Conference on Supercomputing, Santa Clara, CA, May, 1989.

Objective Functions for Feature Discrimination.

P. Fua; A. Hanson 

1989. International Joint Conference on Artificial Intelligence, Detroit, MI, August 1989.

Using Generic Geometric Models for Intelligent Shape Extraction

P. Fua 

1987. American Association for Artificial Intelligence.

Resegmentation Using Generic Shape: Locating General Cultural Objects

P. Fua; A. Hanson 

Pattern Recognition Letters. 1987. Vol. 5, p. 243-252.