Pascal Fua
Full Professor
pascal.fua@epfl.ch +41 21 693 66 47 http://cvlab.epfl.ch/~fua
EPFL IC IINFCOM CVLAB
BC 310 (Bâtiment BC)
Station 14
CH-1015 Lausanne
Fields of expertise
Computer Vision, Biomedical Imaging, and Augmented Reality
Biography
Pascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory.
His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded two spinoff companies (Pix4D and PlayfulVision).
Current Work
The research activities of the Computer Vision Laboratory focus on shape and motion recovery from images, object and people detection and tracking in video sequences, and analysis of brain microscopy image-stacks. CVLab also provides undergraduate and graduate teaching and performs technology transfer to both established and start up companies.
Pascal Fua's research is sponsored by the Swiss National Science Foundation, the CTI, the European Union including a senior ERC grant, and several industrial partners.
Infoscience publications
All since 1996
2020
R. Bermúdez Chacón; M. Salzmann; P. Fua : Domain-Adaptive Multibranch Networks. 2020. 8th International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.
2019
W. Liu; K. M. Lis; M. Salzmann; P. Fua : Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation. 2019-11-08. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019.
K. M. Lis; K. K. Nakka; P. Fua; M. Salzmann : Detecting the Unexpected via Image Resynthesis. 2019-10-27. ICCV 2019 : IEEE International Conference on Computer Vision, Seoul, South Korea, Oct 27, 2019 - Nov 3, 2019 .
W. Wang; K. Yu; J. Hugonot; P. Fua; M. Salzmann : Recurrent U-Net for Resource-Constrained Segmentation. 2019-10-27. International Conference on Computer Vision (ICCV 2019), Seoul, Korea, Oct 27 - Nov 3, 2019.
R. Bermúdez Chacón; O. Altingövde; C. J. Becker; M. Salzmann; P. Fua : Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images; IEEE Transactions on Medical Imaging. 2019-10-04. DOI : 10.1109/TMI.2019.2946462.
S. Günel; H. Rhodin; D. Morales; J. H. Campagnolo; P. Ramdya et al. : DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila; eLife. 2019-10-04. DOI : 10.7554/eLife.48571.
M. Ostrek; H. Rhodin; P. Fua; E. Mueller; J. Spoerri : Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing; Sensors. 2019-10-01. DOI : 10.3390/s19194323.
A. Maksai; P. Fua : Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking. 2019-06-23. Computer Vision and Patter Recognition (CVPR), Long Beach, CA, June, 2019.
F. Bardi : Aerodynamic shape optimization via surrogate modelling with convolutional neural networks ; 2019-06-21.
L. Zampieri : Geometric Deep Learning for Volumetric Computational Fluid Dynamics ; 2019-06-21.
H. Rhodin; V. Constantin; I. Katircioglu; M. Salzmann; P. Fua : Neural Scene Decomposition for Multi-Person Motion Capture. 2019-06-20. Computer Vision and Patter Recognition (CVPR).
W. Liu; M. Salzmann; P. Fua : Context-Aware Crowd Counting. 2019-06-20. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019.
Y. Hu; J. L. Hugonot; P. Fua; M. Salzmann : Segmentation-driven 6D Object Pose Estimation. 2019-06-16. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019.
W. Xu; A. Chatterjee; M. Zollhofer; H. Rhodin; P. Fua et al. : Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera; IEEE Transactions On Visualization And Computer Graphics (TOG). 2019-05-01. DOI : 10.1109/TVCG.2019.2898650.
K. Konyushkova; R. Sznitman; P. Fua : Geometry in active learning for binary and multi-class image segmentation; Computer Vision And Image Understanding (CVIU). 2019-05-01. DOI : 10.1016/j.cviu.2019.01.007.
B. Fan; Q. Kong; X. Wang; Z. Wang; S. Xiang et al. : A Performance Evaluation of Local Features for Image-Based 3D Reconstruction; IEEE Transactions on Image Processing (TIP). 2019-04-11. DOI : 10.1109/TIP.2019.2909640.
P. B. Baqué; P. Fua; F. Fleuret ; Shape optimisation of technical devices via gradient descent using convolutional neural network proxies. WO2019048085 . 2019.
A. J. Mosinska / P. Fua (Dir.) : Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images. Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9301.
A. J. Mosinska; M. Kozinski; P. Fua : Joint Segmentation and Path Classification of Curvilinear Structures; IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2019.
A. Maksai / P. Fua (Dir.) : Training Algorithms for Multiple Object Tracking. Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.
K. Konyushkova / P. Fua; R. Sznitman (Dir.) : Learning to Reduce Annotation Load. Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9074.
2018
T. Bagautdinov; C. Wu; J. Saragih; Y. Sheikh; P. Fua : Modeling Facial Geometry using Compositional VAEs. 2018-06-18. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018.
B. Tekin; S. N. Sinha; P. Fua : Real-Time Seamless Single Shot 6D Object Pose Prediction. 2018-06-18. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018.
J. Bednarík; M. Salzmann; P. Fua : Learning to Reconstruct Texture-less Deformable Surfaces from a Single View. 2018-03-23. International Conference on 3D Vision, Verona, Italy, September 5-8, 2018.
I. Katiricioglu; B. Tekin; M. Salzmann; V. Lepetit; P. Fua : Learning Latent Representations of 3D Human Pose with Deep Neural Networks; International Journal of Computer Vision. 2018-01-31. DOI : 10.1007/s11263-018-1066-6.
P. Fua; V. Lepetit; E. F. Trulls; K. M. Yi ; Method, system, and device for learned invariant feature transform for computer images. US2018096224 . 2018.
R. Achanta; P. Marquez Neila; P. Fua; S. Süsstrunk : Scale-Adaptive Superpixels. 2018. Color and Imaging Conference (CIC26), Vancouver, Canada, November 12-16, 2018. p. 1-6(6). DOI : 10.2352.
K. M. Yi; E. Trulls; Y. Ono; V. Lepetit; M. Salzmann et al. : Learning to Find Good Correspondences. 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.
H. Rhodin; J. Sporri; I. Katircioglu; V. Constantin; F. Meyer et al. : Learning Monocular 3D Human Pose Estimation from Multi-view Images. 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.
Y. Ono; E. Trulls; P. Fua; K. M. Yi : LF-Net: Learning Local Features from Images. 2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.
B. Tekin; S. N. Sinha; P. Fua : Real-Time Seamless Single Shot 6D Object Pose Prediction. 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.
Y. Ono; E. Trulls Fortuny; P. Fua; K. M. Yi : LF-Net: Learning Local Features from Images. 2018. Neural Information Processing Systems (NIPS), Montréal Canada.
R. Bermudez-Chancon; P. Marquez-Neila; M. Salzmann; P. Fua : A Domain-Adaptive Two-Stream U-Net For Electron Microscopy Image Segmentation. 2018-01-01. International Symposium on Biomedical Imaging (ISBI), Washington, DC, Apr 04-07, 2018. p. 400-404.
P. Baqué; E. Remelli; F. Fleuret; P. Fua : Geodesic Convolutional Shape Optimization. 2018. Proceedings of the International Conference on Machine Learning.
J. Bednarik; P. Fua; M. Salzmann : Learning to Reconstruct Texture-less Deformable Surfaces from a Single View. 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.
C. Cali; M. Wawrzyniak; C. Becker; B. Maco; M. Cantoni et al. : The effects of aging on neuropil structure in mouse somatosensory cortex-A 3D electron microscopy analysis of layer 1; PLOS ONE. 2018. DOI : 10.1371/journal.pone.0198131.
A. Crivellaro; M. Rad; Y. Verdie; K. Yi; P. Fua et al. : Robust 3D Object Tracking from Monocular Images Using Stable Parts; Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2018. DOI : 10.1109/TPAMI.2017.2708711.
V. Paradiso; A. Crivellaro; K. Amgarou; N. de Lanaute; P. Fua et al. : A versatile calibration procedure for portable coded aperture gamma cameras and RGB-D sensors; NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT. 2018. DOI : 10.1016/j.nima.2017.12.065.
B. Tekin / P. Fua; V. Lepetit (Dir.) : Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8753.
M. Kozinski; A. J. Mosinska; M. Salzmann; P. Fua : Learning to Segment 3D Linear Structures Using Only 2D Annotations. 2018-01-01. MICCAI, Granada, Spain, September 16-20, 2018. p. 283-291. DOI : 10.1007/978-3-030-00934-2_32.
A. Tkach / M. Pauly; A. Tagliasacchi (Dir.) : Real-Time Generative Hand Modeling and Tracking. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8573.
Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al. : Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. 2018. European Conference on Computer Vision, Munich, Germany, September 8-14, 2018.
H. Rhodin; M. Salzmann; P. Fua : Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation. 2018. European Conference on Computer Vision (ECCV).
T. Chavdarova; P. Baqué; A. Maksai; S. Bouquet; C. Jose et al. : WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection. 2018. Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, Jun 18-23, 2018. p. 5030-5039. DOI : 10.1109/CVPR.2018.00528.
T. Bagautdinov / P. Fua; F. Fleuret (Dir.) : Variational Methods for Human Modeling. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.
P. B. Baqué / P. Fua; F. Fleuret (Dir.) : Mean-Field methods for Structured Deep-Learning in Computer Vision. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8677.
P. B. Baqué; E. Remelli; F. Fleuret; P. Fua : Geodesic Convolutional Shape Optimization. 2018. International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018.
A. J. Mosinska; P. Marquez Neila; M. Kozinski; P. Fua : Beyond the Pixel-Wise Loss for Topology-Aware Delineation. 2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 3136-3145. DOI : 10.1109/CVPR.2018.00331.
B. Jin / S. Süsstrunk (Dir.) : Computational Aesthetics and Image Enhancements using Deep Neural Networks. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8420.
R. Bermúdez Chacón; P. Marquez Neila; M. Salzmann; P. Fua : A Domain-Adaptive Two-Stream U-Net for Electron Microscopy Image Segmentation. 2018. International Symposium of Biomedical Imaging (ISBI), Washington DC, USA, April 4-7, 2018.
H. Rhodin; J. Spörri; I. Katircioglu; V. Constantin; F. Meyer et al. : Learning Monocular 3D Human Pose Estimation from Multi-view Images. 2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA.
A. Rozantsev; M. Salzmann; P. Fua : Residual Parameter Transfer for Deep Domain Adaptation. 2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 4339-4348. DOI : 10.1109/CVPR.2018.00456.
K. M. Yi; E. Trulls Fortuny; Y. Ono; V. Lepetit; M. Salzmann et al. : Learning to Find Good Correspondences. 2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018.
A. Rozantsev; M. Salzmann; P. Fua : Beyond Sharing Weights for Deep Domain Adaptation; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018. DOI : 10.1109/TPAMI.2018.2814042.
2017
P. Marquez Neila; M. Salzmann; P. Fua : Imposing Hard Constraints on Deep Networks: Promises and Limitations. 2017. CVPR Workshop on Negative Results in Computer Vision, Hawaii, HI, 2017.
K. Konyushkova; R. Sznitman; P. Fua : Learning Active Learning from Data. 2017. Advances in Neural Information Processing Systems.
A. Maksai; X. Wang; F. Fleuret; P. Fua : Non-Markovian Globally Consistent Multi-Object Tracking. 2017. Proceedings of the IEEE International Conference on Computer Vision.
P. Baqué; F. Fleuret; P. Fua : Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection. 2017. Proceedings of the IEEE International Conference on Computer Vision.
P. Fua; V. Lepetit; A. Rozantsev; B. Tekin ; Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence. US2017316578 . 2017.
M. A. Pinheiro; J. Kybic; P. Fua : Geometric Graph Matching Using Monte Carlo Tree Search; Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/Tpami.2016.2636200.
T. Kurmann; P. Marquez Neila; X. Du; P. Fua; D. Stoyanov et al. : Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. 2017. International Conference on Medical Image Computing and Computer-Assisted Intervention (MCCAI), Quebec, Canada.
A. E. Ichim / M. Pauly (Dir.) : Physics-based Reconstruction and Animation of Humans. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7880.
E. Oveisi; A. Letouzey; D. Alexander; Q. Jeangros; R. Schäublin et al. : Tilt-less 3-D electron imaging and reconstruction of complex curvilinear structures; Scientific Reports. 2017. DOI : 10.1038/s41598-017-07537-6.
N. Arvanitopoulos Darginis / S. Süsstrunk; R. Achanta (Dir.) : Sparse Gradient Optimization and its Applications in Image Processing. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7913.
E. Oveisi; A. Letouzey; S. De Zanet; G. Lucas; M. Cantoni et al. : Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM; Ultramicroscopy. 2017. DOI : 10.1016/j.ultramic.2017.08.010.
D. Constantin / B. Merminod; Y. Akhtman (Dir.) : Miniature hyperspectral systems. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7647.
B. Tekin; P. Marquez Neila; M. Salzmann; P. Fua : Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation. 2017. International Conference on Computer Vision (ICCV).
E. Oveisi; A. Letouzey; P. Fua; C. Hébert : Three-dimensional electron imaging and reconstruction of dislocations from a single acquisition. 2017. Microscopy Conference, Lausanne, Switzerland.
T. Bagautdinov; A. Alahi; F. Fleuret; P. Fua; S. Savarese : Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017. p. 3425-3434. DOI : 10.1109/Cvpr.2017.365.
E. Oveisi; S. De Zanet; P. Fua; C. Hébert : Computer Vision Techniques Applied to the Reconstruction of the 3-D Structure of Dislocations. 2017. Microscopy & Microanalysis, St Louis, MO, USA, 2017. p. 102-103. DOI : 10.1017/S1431927617001192.
A. J. Mosinska; J. Tarnawski; P. Fua : Active Learning and Proofreading for Delineation of Curvilinear Structures. 2017. MICCAI, Quebec City, Canada, September 10-14, 2017.
D. Mandl; K. M. Yi; P. Mohr; P. Roth; P. Fua et al. : Learning Lightprobes for Mixed Reality Illumination. 2017. International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, October 9–13, 2017.
P. Baqué; F. Fleuret; P. Fua : Multi-Modal Mean-Fields via Cardinality-Based Clamping. 2017. CVPR 2017, Honolulu, Hawaii, USA, July 21-26, 2017. p. 4303-4312. DOI : 10.1109/Cvpr.2017.458.
A. Rozantsev / P. Fua; V. Lepetit (Dir.) : Vision-based detection of aircrafts and UAVs. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7589.
A. Rozantsev; S. Sinha; D. Dey; P. Fua : Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras. 2017. Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, July, 2017. p. 2482-2491. DOI : 10.1109/Cvpr.2017.266.
P. Glowacki; M. Pinheiro; A. Mosinska; E. Türetken; D. Lebrecht et al. : Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency; Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/TPAMI.2017.2680444.
E. Türetken; X. Wang; C. J. Becker; C. Haubold; P. Fua : Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences; Transactions on Medical Imaging (TMI). 2017. DOI : 10.1109/Tmi.2016.2640859.
A. Rozantsev; V. Lepetit; P. Fua : Detecting Flying Objects using a Single Moving Camera; Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/TPAMI.2016.2564408.
2016
E. Oveisi; A. Letouzey; P. Fua; C. Hébert : Three-dimensional electron imaging of dislocations from a single sample tilt. 2016. The 16th European Microscopy Congress 2016, Lyon, France, 28 August - 2 September, 2016. DOI : 10.1002/9783527808465.
B. Fan; Q. Kong; W. Sui; Z. Wang; X. Wang et al. : Do We Need Binary Features for 3D Reconstruction?. 2016. Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas, NV, June, 2016. DOI : 10.1109/Cvprw.2016.144.
L. Smith; D. Nevins; N. T. Dat; P. Fua : Measuring the accuracy of softball impact simulations; Sports Engineering. 2016. DOI : 10.1007/s12283-016-0210-1.
A. Sironi / P. Fua; V. Lepetit (Dir.) : Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7241.
A. Crivellaro / P. Fua; V. Lepetit (Dir.) : Robust 3D Object Pose Estimation and Tracking from Monocular Images in Industrial Environments. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7282.
D. Robben; E. Tueretken; S. Sunaert; V. Thijs; G. Wilms et al. : Simultaneous segmentation and anatomical labeling of the cerebral vasculature; Medical Image Analysis. 2016. DOI : 10.1016/j.media.2016.03.006.
K. M. Yi; E. Trulls Fortuny; V. Lepetit; P. Fua : LIFT: Learned Invariant Feature Transform. 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.
M. H. Izadi / A. Drygajlo (Dir.) : Embedding Local Quality Measures in Minutiae-Based Biometric Recognition. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7035.
K. R. Sapkota; S. A. Roelofsen; A. Rozantsev; V. Lepetit; D. Gillet et al. : Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems. 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.
R. Bermúdez-Chacón; C. Becker; M. Salzmann; P. Fua : Scalable Unsupervised Domain Adaptation for Electron Microscopy. 2016. MICCAI 2016, Athens, Greece, October 17-21, 2016.
B. Tekin; I. Katircioglu; M. Salzmann; V. Lepetit; P. Fua : Structured Prediction of 3D Human Pose with Deep Neural Networks. 2016. British Machine Vision Conference (BMVC), York, UK, September 19-22, 2016.
V. Belagiannis; X. Wang; H. B. Ben Shitrit; K. Hashimoto; R. Stauder et al. : Parsing human skeletons in an operating room; Machine Vision and Applications. 2016. DOI : 10.1007/s00138-016-0792-4.
C. J. Becker / P. Fua (Dir.) : Towards Scalable Segmentation of 3D Image Stacks. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6937.
J. VanHaaren; H. Ben Shitrit; J. Davis; P. Fua : Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. 2016. Conference on Knowledge Discovery and Data Mining, San Francisco, CA, August, 2016.
P. Baqué; T. Bagautdinov; F. Fleuret; P. Fua : Principled Parallel Mean-Field Inference for Discrete Random Fields. 2016. Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition.
K. M. Yi; Y. Verdie; P. Fua; V. Lepetit : Learning to Assign Orientations to Feature Points. 2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016.
H. Altwaijry; E. Trulls; J. Hays; P. Fua; S. Belongie : Learning to Match Aerial Images with Deep Attentive Architectures. 2016. Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, June 27-30, 2016.
A. Mosinska-Domanska; R. Sznitman; P. Glowacki; P. Fua : Active Learning for Delineation of Curvilinear Structures. 2016. Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, 2016.
B. Tekin; A. Rozantsev; V. Lepetit; P. Fua : Direct Prediction of 3D Body Poses from Motion Compensated Sequences. 2016. Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016.
A. Maksai; X. Wang; P. Fua : What Players do with the Ball: A Physically Constrained Interaction Modeling. 2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Jun 26 - Jul 1 2016.
T. D. Ngo / P. Fua (Dir.) : Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6891.
P. R. Głowacki / P. Fua (Dir.) : Automated Reconstruction of Evolving Curvilinear Tree Structures. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6930.
E. Türetken; X. Wang; C. J. Becker; C. Haubold; P. Fua : Globally Optimal Cell Tracking using Integer Programming. 2016.
P. B. Baqué; T. Bagautdinov; F. Fleuret; P. Fua : Principled Parallel Mean-Field Inference for Discrete Random Fields. 2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas.
O. Pertz; L. Fusco; R. Lefort; K. C. Smith; F. Benmansour et al. : Computer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling; Journal of Cell Biology. 2016. DOI : 10.1083/jcb.201506018.
X. Wang; E. Türetken; F. Fleuret; P. Fua : Tracking Interacting Objects Using Intertwined Flows; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2513406.
A. Sironi; E. Türetken; V. Lepetit; P. Fua : Multiscale Centerline Detection; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2462363.
E. Türetken; F. Benmansour; B. Andres; P. R. Glowacki; H. Pfister et al. : Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2016.2519025.
T. D. Ngo; J. Östlund; P. Fua : Template-based Monocular 3D Shape Recovery using Laplacian Meshes; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2435739.
2015
E. Turetken; P. Fua; F. Fleuret; X. Wang ; Systems and methods for tracking interacting objects. US9794525 ; US2015281655 . 2015.
B. Stenger; N. Ukita; Y. Sato; P. Fua; D. Fleet : Special Section: Pose & Gesture; Computer Vision And Image Understanding. 2015. DOI : 10.1016/j.cviu.2015.10.011.
M. E. Khan; P. B. Baqué; F. Fleuret; P. Fua : Kullback-Leibler Proximal Variational Inference. 2015. Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, December 9, 2015.
E. Khan; P. Baqué; F. Fleuret; P. Fua : Kullback-Leibler Proximal Variational Inference. 2015. Proceedings of the international conference on Neural Information Processing Systems.
Z. Sadeghipoor Kermani / S. Süsstrunk; Y. Lu (Dir.) : Joint Acquisition of Color and Near-Infrared Images on a Single Sensor. Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6766.
K. Sharma / P. Dillenbourg; P. Jermann (Dir.) : Gaze Analysis methods for Learning Analytics. Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6696.
E. Simo-Serra; E. Trulls; L. Ferraz; I. Kokkinos; P. Fua et al. : Discriminative Learning of Deep Convolutional Feature Point Descriptors. 2015. International Conference on Computer Vision, Santiago, Chile, December 13-16, 2015.
K. Konyushkova; R. Sznitman; P. Fua : Introducing Geometry in Active Learning for Image Segmentation. 2015. international conference in Computer Vision, Santiago, Chile, December 13-16, 2015.
A. Crivellaro; M. Rad; Y. Verdie; K. M. Yi; P. Fua et al. : A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images. 2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015.
A. Sironi; V. Lepetit; P. Fua : Projection onto the Manifold of Elongated Structures for Accurate Extraction. 2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.
T. D. Ngo; S. Park; A. A. Jorstad; A. Crivellaro; C. Yoo et al. : Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture. 2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015.
S. Bouaziz / M. Pauly (Dir.) : Realtime Face Tracking and Animation. Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6666.
X. Sun / P. Fua (Dir.) : Localizing Polygonal Objects in Man-Made Environments. Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6622.
S. Magnenat; T. D. Ngo; F. Zund; M. Ryffel; G. Noris et al. : Live Texturing of Augmented Reality Characters from Colored Drawings; IEEE Transactions on Visualization and Computer Graphics. 2015. DOI : 10.1109/Tvcg.2015.2459871.
X. Wang / P. Fua (Dir.) : Tracking Interacting Objects in Image Sequences. Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6632.
Y. Verdie; K. M. Yi; P. Fua; V. Lepetit : TILDE: A Temporally Invariant Learned DEtector. 2015. Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA.
P. Fua; G. Knott : Modeling Brain Circuitry over a Wide Range of Scales; Frontiers in Neuroanatomy. 2015. DOI : 10.3389/fnana.7015.00042.
A. Rozantsev; V. Lepetit; P. Fua : Flying Objects Detection from a Single Moving Camera. 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.
T. Bagautdinov; F. Fleuret; P. Fua : Probability Occupancy Maps for Occluded Depth Images. 2015. Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015.
E. Türetken; X. Wang; C. J. Becker; P. Fua : Detecting and Tracking Cells using Network Flow Programming. 2015.
A. Rozantsev; V. Lepetit; P. Fua : On Rendering Synthetic Images for Training an Object Detector; Computer Vision and Image Understanding. 2015. DOI : 10.1016/j.cviu.2014.12.006.
A. Lucchi; P. Márquez-Neila; C. Becker; Y. Li; K. Smith et al. : Learning Structured Models for Segmentation of 2D and 3D Imagery; IEEE Transactions on Medical Imaging. 2015. DOI : 10.1109/TMI.2014.2376274.
C. J. Becker; C. M. Christoudias; P. Fua : Domain Adaptation for Microscopy Imaging; IEEE Transactions on Medical Imaging. 2015. DOI : 10.1109/Tmi.2014.2376872.
A. Jorstad; B. Nigro; C. Cali; M. Wawrzyniak; P. Fua et al. : NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks; Neuroinformatics. 2015. DOI : 10.1007/s12021-014-9242-5.
A. Sironi; B. Tekin; R. Rigamonti; V. Lepetit; P. Fua : Learning Separable Filters; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/Tpami.2014.2343229.
E. Serradell; M. Pinheiro; R. Sznitman; J. Kybic; F. Moreno-Noguer et al. : Non-Rigid Graph Registration using Active Testing Search; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/TPAMI.2014.2343235.
2014
P. Fua; G. Knott; R. Sznitman; A. Lucchi ; Efficient scanning for em based target localization. WO2014001157 ; US8588509 . 2014.
A. Crivellaro; Y. Verdie; K. M. Yi; P. Fua; V. Lepetit : [DEMO] Tracking Texture-less, Shiny Objects with Descriptor Fields. 2014. International Symposium on Mixed and Augmented Reality (ISMAR), Munich, 2014. p. 331-332. DOI : 10.1109/ISMAR.2014.6948474.
B. Maco; A. Holtmaat; A. Jorstad; P. Fua; G. Knott : Correlative In Vivo 2-Photon Beam Scanning Electron Microscopy: 3D Analysis of Neuronal Ultrastructure; Correlative Light And Electron Microscopy II; San Diego: Elsevier Academic Press Inc, 2014. p. 339-361.
X. Wang; E. Turetken; F. Fleuret; P. Fua : Tracking Interacting Objects Optimally Using Integer Programming. 2014. Proceedings of the European Conference on Computer Vision.
A. Jorstad; P. Fua : Refining Mitochondria Segmentation in Electron Microscopy Imagery with Active Surfaces. 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.
A. Greenblum; R. Sznitman; P. Fua; P. E. Arratia; M. Oren et al. : Dendritic tree extraction from noisy maximum intensity projection images in C-elegans; Biomedical Engineering Online. 2014. DOI : 10.1186/1475-925X-13-74.
T. P. Trzciński / P. Fua; V. Lepetit (Dir.) : Learning and Matching Binary Local Feature Descriptors. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6226.
R. Rigamonti; V. Lepetit; P. Fua : Beyond KernelBoost. 2014.
V. Belagiannis; X. Wang; B. Schiele; P. Fua; S. Ilic et al. : Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures. 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.
X. Sun; C. M. Christoudias; P. Fua : Free-Shape Polygonal Object Localization. 2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sep 6-12, 2014. p. 317-332.
X. Wang; E. Türetken; F. Fleuret; P. Fua : Tracking Interacting Objects Optimally Using Integer Programming. 2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12, 2014. p. 17-32.
A. Rozantsev; V. Lepetit; P. Fua : On Rendering Synthetic Images for Training an Object Detector. 2014.
A. Lucchi; C. J. Becker; P. Marquez Neila; P. Fua : Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation. 2014. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 2014.
D. Robben; E. Türetken; S. Sunaert; V. Thijs; G. Wilms et al. : Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature. 2014. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Boston, Massachusetts, USA, Sep. 14-19, 2014.
R. Sznitman; C. J. Becker; P. Fua : Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery. 2014. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 14-18, 2014.
L. El Shafey / H. Bourlard; S. Marcel (Dir.) : Scalable Probabilistic Models for Face and Speaker Recognition. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6175.
B. Fan; Q. Kong; T. Trzcinski; Z. Wang; C. Pan et al. : Receptive Fields Selection for Binary Feature Description; IEEE Transactions on Image Processing. 2014. DOI : 10.1109/TIP.2014.2317981.
P. Glowacki; M. Pinheiro; E. Türetken; R. Sznitman; D. Lebrecht et al. : Reconstructing Evolving Tree Structures in Time Lapse Sequences. 2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 2014.
A. Sironi; V. Lepetit; P. Fua : Multiscale Centerline Detection by Learning a Scale-Space Distance Transform. 2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 24-27, 2014.
R. Rigamonti; V. Lepetit; G. González; E. Türetken; F. Benmansour et al. : On the Relevance of Sparsity for Image Classification; Computer Vision and Image Understanding. 2014. DOI : 10.1016/j.cviu.2014.03.009.
A. Crivellaro; P. Fua; V. Lepetit : Dense Methods for Image Alignment with an Application to 3D Tracking. 2014.
X. Sun; C. M. Christoudias; V. Lepetit; P. Fua : Real-time landing place assessment in man-made environments; Machine Vision And Applications. 2014. DOI : 10.1007/s00138-013-0560-7.
H. B. Ben Shitrit / P. Fua; F. Fleuret (Dir.) : Identity-Preserving Multiple People Tracking. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6035.
R. Sznitman; A. Greenblum; P. Fua; P. Arratia; J. Sznitman : Caenorhabditis elegant segmentation using texture-based models for motility phenotyping; IEEE Transactions on Biomedical Engineering. 2014. DOI : 10.1109/Tbme.2014.2298612.
R. Rigamonti / P. Fua; V. Lepetit (Dir.) : Better features for image categorization and segmentation. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6031.
C. Dubout / F. Fleuret (Dir.) : Object Classification and Detection in High Dimensional Feature Space. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6043.
F. Fleuret; H. Ben Shitrit; P. Fua : Re-Identification for Improved People Tracking; Person Re-Identification; Springer, 2014. p. 309-330.
X. Wang; V. H. Ablavsky; H. Ben Shitrit; P. Fua : Take your Eyes off the Ball: Improving Ball-Tracking by Focusing on Team Play; Computer Vision and Image Understanding. 2014. DOI : 10.1016/j.cviu.2013.11.010.
H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua : Multi-Commodity Network Flow for Tracking Multiple People; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI : 10.1109/Tpami.2013.210.
2013
B. Tekin : Separable Filter Learning with Tensor Decomposition ; 2013.
F. Fleuret; J. Berclaz; E. Tueretken; P. Fua; F. Fleuret ; Method and apparatus for multiple object tracking with k-shortest paths. US8615107 ; US2013177200 . 2013.
B. Tekin : Learning Separable Filters with Shared Parts ; 2013.
R. Sznitman; C. Becker; F. Fleuret; P. Fua : Fast Object Detection with Entropy-Driven Evaluation. 2013. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 23-28, 2013. DOI : 10.1109/Cvpr.2013.420.
P. F. Felzenszwalb; D. A. Forsyth; P. Fua; T. E. Boult : TPAMI CVPR Special Section; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. DOI : 10.1109/TPAMI.2013.208.
S. Cuendet / P. Dillenbourg (Dir.) : Tangible Interfaces for Learning. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5931.
A. Lopes; J. Florêncio; H. Ben Shitrit; P. Fua; S. Fonseca : Tracking Multiple Handball Players using Multi-Commodity Network Flow for Assessing Tactical Behavior. 2013. Scientific Conference Women and Handball: Scientific and Practical Approaches, Vienna, Austria, November, 2013.
E. Türetken; C. Becker; P. Glowacki; F. Benmansour; P. Fua : Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery using Multi-Directional Oriented Flux. 2013. International Conference on Computer Vision (ICCV), Sydney, Australia, December, 2013.
E. Türetken / P. Fua (Dir.) : Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5933.
V. Lepetit; P. Fua : Keypoint Recognition using Random Forests and Random Ferns; Decision Forests for Computer Vision and Medical Image Analysis; Springer, 2013. p. 111-124.
C. J. Becker; C. M. Christoudias; P. Fua : Non-Linear Domain Adaptation with Boosting. 2013. Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, December 5-8, 2013.
A. Lucchi / P. Fua (Dir.) : Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5836.
C. J. Becker; R. Rigamonti; V. Lepetit; P. Fua : Supervised Feature Learning for Curvilinear Structure Segmentation. 2013. International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013. p. 526-533.
M. Zervos; H. BenShitrit; F. Fleuret; P. Fua : Facial Descriptors for Identity-Preserving Multiple People Tracking. 2013.
N. Salamati / S. Süsstrunk (Dir.) : Incorporating Near-Infrared into Scene Understanding. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5806.
M. A. Pinheiro; R. Sznitman; M. Serradell; J. Kybic; F. Moreno-Nogue et al. : Active Testing Search for Point Cloud Matching. 2013. International Conference on Information Processing in Medical Imaging (IPMI), Asilomar, California, USA, June 28, 2013.
R. Sznitman; A. Lucchi; M. Cantoni; G. Knott; P. Fua : Flash Scanning Electron Microscopy. 2013. 16th Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013.
H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua ; Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People. EP2780871 ; EP2780871 ; WO2013072401 ; WO2013072401 . 2013.
N. Frémaux / W. Gerstner (Dir.) : Models of Reward-Modulated Spike-Timing-Dependent Plasticity. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5683.
T. Trzcinski; C. M. Christoudias; P. Fua; V. Lepetit : Boosting Binary Keypoint Descriptors. 2013. Computer Vision and Pattern Recognition (CVPR), Portland, USA. DOI : 10.1109/Cvpr.2013.370.
E. Türetken; F. Benmansour; B. Andres; H. Pfister; P. Fua : Reconstructing Loopy Curvilinear Structures Using Integer Programming. 2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June, 2013. DOI : 10.1109/Cvpr.2013.238.
E. D'Angelo / P. Vandergheynst (Dir.) : Patch-based methods for variational image processing problems. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5693.
A. Lucchi; Y. Li; P. Fua : Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets. 2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 23-28, 2013. DOI : 10.1109/Cvpr.2013.259.
A. Rozantsev; C. M. Christoudias; V. Lepetit; P. Fua : Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG. 2013.
R. Sznitman; C. J. Becker; F. Fleuret; P. Fua : Fast Object Detection with Entropy-Driven Evaluation. 2013. Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA.
R. Rigamonti; A. Sironi; V. Lepetit; P. Fua : Learning Separable Filters. 2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 25-27, 2013. DOI : 10.1109/Cvpr.2013.355.
R. Sznitman; A. Lucchi; P. I. Frazier; B. M. Jedynak; P. Fua : An Optimal Policy for Target Localization with Application to Electron Microscopy. 2013. International Conference on Machine Learning (ICML), Atlanta, GA, USA, June 16-21, 2013.
M. Zervos : Multi-camera face detection and recognition applied to people tracking ; 2013.
C. J. Becker; K. Ali; G. Knott; P. Fua : Learning Context Cues for Synapse Segmentation; IEEE Transactions on Medical Imaging. 2013. DOI : 10.1109/Tmi.2013.2267747.
F. Benmansour; E. Türetken; P. Fua : Tubular Geodesics using Oriented Flux: An ITK Implementation; Insight Journal. 2013.
C. J. Becker; R. Rigamonti; V. Lepetit; P. Fua : KernelBoost: Supervised Learning of Image Features For Classification. 2013.
E. Türetken; F. Benmansour; P. Fua : Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks. 2013.
H. Ben Shitrit; M. Raca; F. Fleuret; P. Fua : Tracking Multiple Players using a Single Camera; Machine Vision and Applications. 2013.
F. Moreno Noguer; P. Fua : Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. DOI : 10.1109/Tpami.2012.102.
2012
Y. LI; N. Snavely; D. Huttenlocher; P. Fua : Worldwide Pose Estimation Using 3D Point Clouds. 2012. European Conference on Computer Vision (ECCV), Florence, Italy, October, 2012.
T. Trzcinski; C. M. Christoudias; V. Lepetit; P. Fua : Learning Image Descriptors with the Boosting-Trick. 2012. NIPS, Lake Tahoe, CA, USA, 2012.
M. Zervos : Real time multi-object tracking using multiple cameras ; 2012.
S. Mateo; C. Blum; P. Fua; E. Türetken : Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem. 2012. International Conference on Swarm Intelligence, Brussels, Belgium, September, 2012.
V. H. Ablavsky; C. J. Becker; P. Fua : Transfer Learning by Sharing Support Vectors. 2012.
R. Rigamonti; V. Lepetit; G. González Serrano; E. Türetken; F. Benmansour et al. : On the Relevance of Sparsity for Image Classification. 2012.
T. Trzcinski; V. Lepetit; P. Fua : Thick Boundaries in Binary Space and Their Influence on Nearest-Neighbor Search; Pattern Recognition Letters. 2012. DOI : 10.1016/j.patrec.2012.08.006.
A. Varol / P. Fua (Dir.) : Resolving Ambiguities in Monocular 3D Reconstruction of Deformable Surfaces. Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5458.
R. Sznitman; K. Ali; R. Richa; R. Taylor; G. Hager et al. : Data-Driven Visual Tracking in Retinal Microsurgery. 2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice, France, October, 2012.
R. Sznitman; A. Lucchi; N. Pjescic-Emedi; G. Knott; P. Fua : Efficient Scanning for EM Based Target Localization. 2012. 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Nice, France, October, 2012.
A. Lucchi; Y. Li; K. Smith; P. Fua : Structured Image Segmentation using Kernelized Features. 2012. European Conference on Computer Vision, Florence, Italy, October 2012.
R. Rigamonti; V. Lepetit; P. Fua : Learning Separable Filters. 2012.
J. O. M. Östlund; A. Varol; T. D. Ngo; P. Fua : Laplacian Meshes for Monocular 3D Shape Recovery. 2012. European Conference on Computer Vision, Florence, October 2012.
C. J. Becker; K. Ali; G. Knott; P. Fua : Learning Context Cues for Synapse Segmentation in EM Volumes. 2012. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).
R. Achanta; A. Shaji; K. Smith; A. Lucchi; P. Fua et al. : SLIC Superpixels Compared to State-of-the-art Superpixel Methods; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2012.120.
S. Hinterstoisser; C. Cagniart; S. Ilic; P. Sturm; N. Navab et al. : Gradient Response Maps for Real-Time Detection of Textureless Objects; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.206.
E. Serradell; P. Glowacki; J. Kybic; F. Moreno-Noguer; P. Fua : Robust Non-Rigid Registration of 2D and 3D Graphs. 2012. Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 2012.
E. Türetken; F. Benmansour; P. Fua : Automated Reconstruction of Tree Structures using Path Classifiers and Mixed Integer Programming. 2012. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 16-21, 2012.
A. Varol; M. Salzmann; P. Fua; R. Urtasun : A Constrained Latent Variable Model. 2012. IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 16-21, 2012.
C. Strecha; O. Küng; P. Fua : AUTOMATIC MAPPING FROM ULTRA-LIGHT UAV IMAGERY. 2012. EuroCOW 2012, Barceloa, Spain, February 8-10, 2012.
K. Ali / P. Fua; F. Fleuret (Dir.) : Learning to Detect Objects with Minimal Supervision. Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5310.
C. Strecha; A. M. Bronstein; M. M. Bronstein; P. Fua : LDAHash: Improved Matching with Smaller Descriptors; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.103.
A. Lucchi; K. Smith; R. Achanta; G. Knott; P. Fua : Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks with Learned Shape Features; IEEE Transactions on Medical Imaging. 2012. DOI : 10.1109/TMI.2011.2171705.
M. Calonder; V. Lepetit; M. Özuysal; T. Trzcinski; C. Strecha et al. : BRIEF: Computing a Local Binary Descriptor Very Fast; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.222.
K. Ali; F. Fleuret; D. Hasler; P. Fua : A Real-Time Deformable Detector; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.117.
A. Varol; A. Shaji; M. Salzmann; P. Fua : Monocular 3D Reconstruction of Locally Textured Surfaces; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2011.196.
E. Tola; C. Strecha; P. Fua : Efficient Large Scale Multi-View Stereo for Ultra High Resolution Image Sets; Machine Vision and Applications. 2012. DOI : 10.1007/s00138-011-0346-8.
2011
N. Henchoz; V. Lepetit; P. Fua; J. Miles : Turning Augmented Reality into a media: Design exploration to build a dedicated visual language. 2011-10-26. 2011 IEEE International Symposium on Mixed and Augmented Reality - Arts, Media, and Humanities, Basel, Switzerland, 26-29 October, 2011. p. 83-89. DOI : 10.1109/ISMAR-AMH.2011.6093661.
G. Gonzalez; L. Fusco; R. Lefort; F. Benmansour; P. Fua et al. : Automated Quantification of Morphodynamics for High-Throughput Live Cell Imaging Datasets. 2011. 1st International SystemsX.ch Conference on Systems Biology.
L. Fusco; K. C. Smith; F. Benmansour; R. Lefort; F. Fleuret et al. : Morphodynamic profiling to explore spatio-temporal signaling networks regulating neurite outgrowth. 2011. 1st International SystemsX.ch Conference on Systems Biology.
F. M. Nieuwenhuizen; M. Jump; M. White; P. Perfect; P. Padfield et al. : myCopter – Enabling Technologies for Personal Aerial Transportation Systems. 2011. International HELI World Conference, Frankfurt/Main, Germany, 2011.
M. Jump; P. Perfect; G. D. Padfield; M. D. White; D. Floreano et al. : myCopter – Enabling Technologies for Personal Aerial Transportation Systems.. 2011. European Rotorcraft Forum, Vergiate/Gallarate, Italy, September 13-15, 2011.
O. Küng; C. Strecha; P. Fua; D. Gurdan; M. Achtelik et al. : Simplified Building Models Extraction From Ultra-Light UAV Imagery. 2011. UAV-g 2011 - Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.
J. Ahn; S. Gobron; Q. Silvestre; H. Ben Shitrit; M. Raca et al. : Long Term Real Trajectory Reuse Through Region Goal Satisfaction. 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.
A. Lucchi; Y. Li; X. Boix Bosch; K. Smith; P. Fua : Are Spatial and Global Constraints Really Necessary for Segmentation?. 2011. IEEE International Conference on Computer Vision (ICCV), Barcelona. p. 9-16.
O. Küng; C. Strecha; A. Beyeler; J.-C. Zufferey; D. Floreano et al. : The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery. 2011. UAV-g 2011 - Unmanned Aerial Vehicle in Geomatics, Zürich, CH, September 14-16, 2011.
G. González Serrano; F. Fleuret; F. Aguet; F. Benmansour; M. Unser et al. : Rotational Features Extraction for Ridge Detection. 2011.
G. Roig Noguera; X. Boix Bosch; H. Ben Shitrit; P. Fua : Conditional Random Fields for Multi-Camera Object Detection. 2011. International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011.
H. Ben Shitrit; J. Berclaz; F. Fleuret; P. Fua : Tracking Multiple People under Global Appearance Constraints. 2011. International Conference on Computer Vision, Barcelona, Spain, November 6-13, 2011. p. 137-144.
M. Brown; S. Süsstrunk; P. Fua : Spatio-Chromatic Decorrelation by Shift-Invariant Filtering. 2011. IEEE CVPR Workshop on Biologically Consistent Vision, Colorado Springs, CO, USA, June 2011. DOI : 10.1109/CVPRW.2011.5981688.
M. Jump; P. Padfield; M. White; D. Floreano; P. Fua et al. : myCopter: Enabling Technologies for Personal Air Transport Systems. 2011. RAeS Rotorcraft Conference: The Future Rotorcraft – Enabling Capability Through the Application of Technology, London, UK, 15-16th June 2011.
R. Rigamonti; E. Türetken; G. González Serrano; P. Fua; V. Lepetit : Filter Learning for Linear Structure Segmentation. 2011.
E. Türetken; G. González Serrano; C. Blum; P. Fua : Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors; Neuroinformatics. 2011. DOI : 10.1007/s12021-011-9122-1.
M. Salzmann; P. Fua : Linear Local Models for Monocular Reconstruction of Deformable Surfaces; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. DOI : 10.1109/TPAMI.2010.158.
G. González Serrano / P. Fua; F. Fleuret (Dir.) : Automated Detection and Delineation of Tree Structures in Noisy Micrographs. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5065.
J. Berclaz; E. Turetken; F. Fleuret; P. Fua : Multiple Object Tracking using K-Shortest Paths Optimization; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. DOI : 10.1109/TPAMI.2011.21.
S. Hinterstoisser; V. Lepetit; S. Benhimane; P. Fua; N. Navab : Learning Real-Time Perspective Patch Rectification; International Journal of Computer Vision. 2011. DOI : 10.1007/s11263-010-0379-x.
A. Fossati; P. Schönmann; P. Fua : Real-time vehicle tracking for driving assistance; Machine Vision and Applications. 2011. DOI : 10.1007/s00138-009-0243-6.
2010
J. Sanchez-Riera; J. O. M. Östlund; P. Fua; F. Moreno Noguer : Simultaneous Pose, Correspondence and Non-Rigid Shape. 2010. Conference on Computer Vision and Pattern Recognition.
M. Calonder; V. Lepetit; P. Fua : Pareto-optimal Dictionaries for Signatures. 2010. Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, Jun 13-18, 2010. p. 3011-3018.
G. Gonzalez; E. Türetken; F. Fleuret; P. Fua : Delineating Trees in Noisy 2D Images and 3D Image Stacks. 2010. International Conference on Computer Vision and Pattern Recognition. p. 2799-2806.
E. Tola; A. Fossati; C. Strecha; P. Fua : Large occlusion completion using normal maps. 2010. Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010.
A. Lucchi; K. Smith; R. Achanta; G. Knott; P. Fua : Supervoxel-Based Segmentation of EM Image Stacks with Learned Shape Features. 2010.
J.-M. Bourgeon; S. Dyen; D. Moyon; D. Schmäh; R. Amacher et al. : L'Hydroptère: A story of a dream. 2010. 21st HISWA International Symposium on Yacht Design and Yacht Construction, Amsterdam, The Netherlands, November 15-16, 2010.
A. Varol; A. Shaji; M. Salzmann; P. Fua : Monocular 3D Reconstruction of Locally Textured Surfaces. 2010.
C. Strecha; A. M. Bronstein; M. M. Bronstein; P. Fua : LDAHash: Improved matching with smaller descriptors. 2010.
M. Salzmann; P. Fua : Deformable Surface 3D Reconstruction from Monocular Images ; Morgan-Claypool.
M. Calonder / P. Fua (Dir.) : Robust, High-Speed Interest Point Matching for Real-Time Applications. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4868.
P. Fua; A. Varol; R. Urtasun; M. Salzmann : Least-Squares Minimization Under Constraints. 2010.
E. Serradell; M. Özuysal; V. Lepetit; P. Fua; F. Moreno-Noguer : Combining Geometric and Appearance Priors for Robust Homography Estimation. 2010.
F. Moreno-Noguer; J. Porta; P. Fua : Exploring Ambiguities for Monocular Non-Rigid Shape Estimation. 2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010.
E. Tola / P. Fua (Dir.) : DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4830.
A. Fossati; M. Dimitrijevic; V. Lepetit; P. Fua : From Canonical Poses to 3D Motion Capture Using a Single Camera; Ieee Transactions On Pattern Analysis And Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.108.
D. Weinland; M. Özuysal; P. Fua : Making Action Recognition Robust to Occlusions and Viewpoint Changes. 2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010.
E. Türetken; C. Blum; G. Gonzalez Serrano; P. Fua : Reconstructing Geometrically Consistent Tree Structures from Noisy Images. 2010. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, September 20-24, 2010. p. 291-299.
A. Lucchi; K. Smith; R. Achanta; V. Lepetit; P. Fua : A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images. 2010. International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, September 20-24, 2010.
R. Achanta; A. Shaji; K. Smith; A. Lucchi; P. Fua et al. : SLIC Superpixels. 2010.
K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al. : View-Based Maps; International Journal of Robotics Research. 2010. DOI : 10.1177/0278364910370376.
M. Calonder; V. Lepetit; C. Strecha; P. Fua : BRIEF: Binary Robust Independent Elementary Features. 2010. 11th European Conference on Computer Vision (ECCV). p. 778-792.
M. Calmon; M. Farhat; P. Fua; K. Startchev; G. Bonnier et al. : L'HYDROPTERE: HOW MULTIDISCIPLINARY SCIENTIFIC RESEARCH MAY HELP BREAK THE SAILING SPEED RECORD. 2010. 2nd INTERNATIONAL CONFERENCE ON INNOVATION IN HIGH PERFORMANCE SAILING YACHTS (Innov'Sail), Lorient, France, June 30 - 1st July 1st, 2010.
M. Özuysal / P. Fua; V. Lepetit (Dir.) : Learning Pose Invariant and Covariant Classifiers from Image Sequences. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4746.
C. Strecha; T. Pylvanainen; P. Fua : Dynamic and Scalable Large Scale Image Reconstruction. 2010. 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A, June 13-19, 2010.
A. Shaji; A. Varol; L. Torresani; P. Fua : Simultaneous Point Matching and 3D Deformable Surface Reconstruction. 2010. 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, U.S.A., June 13-19, 2010.
A. Fossati / P. Fua (Dir.) : Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4699.
M. Calonder; V. Lepetit; P. Fua : Pareto-optimal Dictionaries for Signatures. 2010. Conference on Computer Vision and Pattern Recognition, June.
M. Özuysal; M. Calonder; V. Lepetit; P. Fua : Fast Keypoint Recognition using Random Ferns; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.23.
J. Berclaz / P. Fua; F. Fleuret (Dir.) : Pedestrian localization, tracking and behavior analysis from multiple cameras. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4629.
E. Tola; V. Lepetit; P. Fua : Daisy: An Efficient Dense Descriptor Applied to Wide Baseline Stereo; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.77.
2009
G. González; F. Aguet; F. Fleuret; M. Unser; P. Fua : Steerable Features for Statistical 3D Dendrite Detection. 2009. p. 625-632. DOI : 10.1007/978-3-642-04271-3_76.
F. Moreno-Noguer; M. Salzmann; V. Lepetit; P. Fua : Capturing 3D Stretchable Surfaces from Single Images in Closed Form. 2009. Computer Vision and Pattern Recognition (CVPR).
C. Strecha; A. Lindner; K. Ali; P. Fua : Training for Task Specific Keypoint Detection. 2009. DAGM Symposium on Pattern Recognition, Jena, GERMANY, Sep 09-11, 2009. p. 151-160.
M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al. : Compact Signatures for High-speed Interest Point Description and Matching. 2009. IEEE International Conference on Computer Vision, Kyoto, JAPAN, Sep 29-Oct 02, 2009. p. 357-364.
V. Lepetit; F. Moreno-Noguer; P. Fua : EPnP: An Accurate O(n) Solution to the PnP Problem; International Journal Of Computer Vision. 2009. DOI : 10.1007/s11263-008-0152-6.
C. Scherrer; J. Pilet; V. Lepetit; P. Fua : Memories of the world of the mountains; Leonardo. 2009. DOI : 10.1162/leon.2009.42.4.350.
A. Fossati; M. Salzmann; P. Fua : Observable Subspaces for 3D Human Motion Recovery. 2009. IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, June 22 - 24, 2009.
M. Calonder; V. Lepetit; P. Fua; K. Konolige; J. Bowman et al. : Compact Signatures for High-speed Interest Point Description and Matching. 2009. International Conference on Computer Vision, September, 2009.
K. Konolige; J. Bowman; J. Chen; P. Mihelich; M. Calonder et al. : View-Based Maps. 2009. Robotics: Science and Systems Conference, Seattle, June 2009.
M. Özuysal; V. Lepetit; P. Fua : Pose Estimation for Category Specific Multiview Object Localization. 2009. Conference on Computer Vision and Pattern Recognition, Miami, 2009. p. 778-785. DOI : 10.1109/CVPR.2009.5206633.
J. Berclaz; A. Shahrokni; F. Fleuret; J. Ferryman; P. Fua : Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems. 2009. Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA, June 20-25, 2009.
K. Ali; F. Fleuret; D. Hasler; P. Fua : Joint Pose Estimator and Feature Learning for Object Detection. 2009. IEEE International Conference on Computer Vision. p. 1373-1380.
A. Shahrokni; T. Drummond; F. Fleuret; P. Fua : Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009.
G. Gonzalez; F. Aguet; F. Fleuret; M. Unser; P. Fua : Steerable Features for Statistical 3D Dendrite Detection. 2009. International Conference on Medical Image Computing and Computer Assisted Intervention. p. 625-632.
G. Gonzalez; F. Fleuret; P. Fua : Learning Rotational Features for Filament Detection. 2009. International Conference on Computer Vision and Pattern Recognition. p. 1582-1589.
J. Berclaz; F. Fleuret; P. Fua : Multiple Object Tracking using Flow Linear Programming. 2009.
J. Berclaz; F. Fleuret; P. Fua : Multiple Object Tracking using Flow Linear Programming. 2009. 12th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (Winter-PETS 2009), Snowbird, Utah.
R. Achanta; A. Shaji; P. Fua; S. Süsstrunk : Image Summaries using Database Saliency. 2009. The 2nd ACM SIGGRAPH Conference and Exhibition in Asia (SIGGRAPH Asia), Yokohama, Japan, December 16-19, 2009.
A. Varol; M. Salzmann; E. Tola; P. Fua : Template-Free Monocular Reconstruction of Deformable Surfaces. 2009. International Conference on Computer Vision, Kyoto, September 27 - October 4, 2009.
P. Lagger / P. Fua (Dir.) : Specularities as an information source in the presence of texture. Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4387.
F. J. Estrada; P. Fua; V. Lepetit; S. Süsstrunk : Appearance-based Keypoint Clustering. 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.
M. Salzmann / P. Fua (Dir.) : Learning and recovering 3D surface deformations. Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4270.
2008
P. Lagger; P. Fua : Retrieving multiple light sources in the presence of specular reflections and texture; Computer Vision And Image Understanding. 2008. DOI : 10.1016/j.cviu.2007.11.002.
M. Salzmann; R. Urtasun; P. Fua : Local deformation models for monocular 3D shape recovery. 2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1213-1220.
P. Lagger; M. Salzmann; V. Lepetit; P. Fua : 3D pose refinement from reflections. 2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1205-1212.
M. Calonder; V. Lepetit; P. Fua : Keypoint Signatures for Fast Learning and Recognition. 2008. European Conference on Computer Vision , Marseille, FRANCE, Oct 12-18, 2008. p. 58-71.
Selected publications
| R. Achanta, A. Shaj, K. Smith, A. Lucchi, P. Fua, and S. S�sstrunk. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274 - 2282, 2012. |
SLIC Superpixels Compared to State-of-the-art Superpixel Methods |
| F Fleuret, J Berclaz, R Lengagne, and P Fua Pattern Analysis and Machine Intelligence, 30 (2), 267-282, 2008 |
Multicamera People Tracking with a Probabilistic Occupancy Map |
| V. Lepetit and P. Fua Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, Nr. 9, pp. 1465--1479, 2006. |
Keypoint Recognition using Randomized Trees |
| P. Fua and Y. G. Leclerc International Journal of Computer Vision, Vol. 16, pp. 35-56, 1995. |
Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading |
| P. Fua Machine Vision and Applications, Vol. 6, Nr. 1, pp. 35-49, 1993. |
A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features |
