Pascal Fua
EPFL IC IINFCOM CVLAB
BC 310 (Bâtiment BC)
Station 14
1015 Lausanne
Web site: Web site: https://cvlab.epfl.ch/
+41 21 693 66 47
EPFL
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IC
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SIN-ENS
Web site: Web site: https://sin.epfl.ch
Fields of expertise
Computer Vision, Biomedical Imaging, and Machine Learning
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 machine learning. 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 three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
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
Publications
Infoscience publications
All since 1996
2025
Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
2025. ACM SIGGRAPH Conference, Vancouver, Canada, 2025-08-10 - 2025-08-14.A novel immersive catheter ablation simulator based on individualized 3D MR patients' heart models improves ablation performance of future electrophysiologists
Europace. 2025. DOI : 10.1093/europace/euaf085.098.Vision-based power line cables and pylons detection for low flying aircraft
MACHINE VISION AND APPLICATIONS. 2025. DOI : 10.1007/s00138-025-01664-1.Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT
COMMUNICATIONS MEDICINE. 2025. DOI : 10.1038/s43856-025-00732-x.Deep Active Latent Surfaces for Medical Geometries
2025. 6 Northern Lights Deep Learning Conference, Tromso, Norway, 2025-01-07 - 2025-01-09.MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering
2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 - 2024-10-04. p. 341 - 361. DOI : 10.1007/978-3-031-72952-2_20.Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases
IEEE transactions on pattern analysis and machine intelligence. 2025. DOI : 10.1109/TPAMI.2025.3538776.Improving Human Pose & Shape Estimation with Explicit and Implicit Priors
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10577.A Latent Implicit 3D Shape Model for Multiple Levels of Detail
2025. 46th Annual Conference of the German Association for Pattern Recognition (DAGM GCPR 2024), Munich, Germany, 2024-09-10 - 2024-09-13. p. 37 - 52. DOI : 10.1007/978-3-031-85187-2_3.Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
Medical image analysis. 2025. DOI : 10.1016/j.media.2024.103367.Uncertainty in Modern Deep Learning
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10548.2024
Reconstruction of Manipulated Garment with Guided Deformation Prior
2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 - 2024-12-15.No Identity, no problem: Motion through detection for people tracking
Transactions on Machine Learning Research. 2024.CLOAF: CoLlisiOn-Aware Human Flow
2024. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2024, Seattle, WA, USA, 2024-06-17 - 2024-06-21. p. 1176 - 1185. DOI : 10.1109/CVPR52733.2024.00118.Enabling Uncertainty Estimation in Iterative Neural Networks
2024. 41st International Conference on Machine Learning (ICML) 2024, Vienna, Austria, 2024-07-21 - 2024-07-24. p. 12172 - 12189.Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes
Transactions on Machine Learning Research. 2024. DOI : 10.48550/arXiv.2402.02736.MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision
Biomedizinische Technik. Biomedical engineering. 2024. DOI : 10.1515/bmt-2024-0396.Detecting Road Obstacles by Erasing Them
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. DOI : 10.1109/TPAMI.2023.3335152.DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization
2024. AIAA AVIATION Forum, Las Vegas, NV, USA, July 29–August 2, 2024.A Closed-Form Pairwise Solution to Local Non-Rigid Structure-from-Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. DOI : 10.1109/TPAMI.2024.3383316.Aggregating Spatial and Photometric Context for Photometric Stereo
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9806.DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization
2024.DeepMesh: Differentiable Iso-Surface Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.Incorporating Projective Geometry into Deep Learning
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10538.Generating Anatomically Accurate Heart Structures via Neural Implicit Fields
2024. International Conference on Medical Image Computing and Computer-Assisted Intervention, MARRAKESH, MOROCCO, 2024-10-06 - 2024-10-10.2023
Learning for Multi-View Tracking
2023Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics
Aiaa Journal. 2023. DOI : 10.2514/1.J062533.State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Computer Graphics Forum. 2023. DOI : 10.1111/cgf.14774.BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
Nature Methods. 2023. DOI : 10.1038/s41592-023-01848-5.Perspective Aware Road Obstacle Detection
Ieee Robotics And Automation Letters. 2023. DOI : 10.1109/LRA.2023.3245410.Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage
ASME Journal of Heat and Mass Transfer. 2023. DOI : 10.1115/1.4056663.Informing Neural Networks with Simplified Physics for Better Flow Prediction
2023Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy
2023. 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada, October 8–12, 2023. p. 583 - 593. DOI : 10.1007/978-3-031-43907-0_56.Multi-view Tracking UsingWeakly Supervised Human Motion Prediction
2023. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 03-07, 2023. p. 1582 - 1592. DOI : 10.1109/WACV56688.2023.00163.Two-level Data Augmentation for Calibrated Multi-view Detection
2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023. p. 128 - 136. DOI : 10.1109/WACV56688.2023.00021.Latent Representation of CFD Meshes and Application to Airfoil Aerodynamics
2023LightDepth: Single-View Depth Self-Supervision from Illumination Decline
2023. International Conference on Computer Vision (ICCV), Paris, October 3-5, 2023. DOI : 10.1109/ICCV51070.2023.01945.A method and system for enforcing smoothness constraints on surface meshes from a graph convolutional neural network
US2023169732 . 2023.Automated Human Motion Analysis and Synthesis
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8976.DrapeNet: Garment Generation and Self-Supervised Draping
2023. The 2023 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023-06-18 - 2023-06-22. p. 1451 - 1460. DOI : 10.1109/CVPR52729.2023.00146.Improving Object Detection under Domain Shifts
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9805.Detecting Anomalies and Obstacles in Road Scenes
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8972.Dense Image-based Predictions for Comics Analysis
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10212.Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning
2023. AIAA Aviation Forum 2023, San Diego, CA, USA, June 12-16, 2023. DOI : 10.2514/6.2023-3471.LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline
2023. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, Canadda, October 8-12, 2023. p. 502 - 512. DOI : 10.1007/978-3-031-43999-5_48.Geometrically-Conditioned Point Diffusion Models
2023. International Conference on Computer Vision (ICCV), Paris.Multi-view Tracking Using Weakly Supervised Human Motion Prediction
2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, USA, January 3-7, 2023. DOI : 10.1109/WACV56688.2023.0016.ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
2023. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, December 10-16, 2023. DOI : 10.48550/arXiv.2305.14100.Deep Learning for 3D Surface Modelling and Reconstruction
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10386.Topologically Better Delineation of Curvilinear Structures
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9749.GECCO: Geometrically-Conditioned Point Diffusion Models
2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 2128 - 2138. DOI : 10.1109/ICCV51070.2023.00203.2022
Overcoming the Domain Gap in Neural Action Representations
International Journal Of Computer Vision. 2022. DOI : 10.1007/s11263-022-01713-6.Self-supervised Segmentation via Background Inpainting
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2021.3123902.3D Pose Based Feedback For Physical Exercises
2022. 16th Asian Conference on Computer Vision (ACCV 2022), Macau, China, December 4-8, 2022. p. 1316 - 1332. DOI : 10.1007/978-3-031-26316-3_12.Adversarial Parametric Pose Prior
2022. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, USA, June 18-24, 2022. p. 10987 - 10995. DOI : 10.1109/CVPR52688.2022.01072.Weakly Supervised Volumetric Image Segmentation with Deformed Templates
2022. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18-22, 2022. p. 422 - 432. DOI : 10.1007/978-3-031-16443-9_41.On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation
2022. 10th International Conference on 3D Vision 2022 (3DV), Prague, Czechia, September 12-15, 2022. p. 577 - 586. DOI : 10.1109/3DV57658.2022.00068.Long Term Motion Prediction Using Keyposes
2022. International Conference on 3D Vision (3DV), Prague, Czech Republic, September 12-15, 2022. p. 12 - 21. DOI : 10.1109/3DV57658.2022.00014.Generating LOD3 building models from structure-from-motion and semantic segmentation
Automation In Construction. 2022. DOI : 10.1016/j.autcon.2022.104430.TOPO-Loss for continuity-preserving crack detection using deep learning
Construction And Building Materials. 2022. DOI : 10.1016/j.conbuildmat.2022.128264.Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
IEEE Transactions on Medical Imaging. 2022. DOI : 10.1109/TMI.2022.3193072.ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging
2022. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 15840 - 15850. DOI : 10.1109/CVPR52688.2022.01540.3D reconstruction of curvilinear structures with stereo matching deep convolutional neural networks
Ultramicroscopy. 2022. DOI : 10.1016/j.ultramic.2021.113460.Object Priors for Volumetric Image Segmentation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8853.Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2022.3215307.HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
2022. International Conference on 3D Vision, Prague, Czechia, September 12-15, 2022. DOI : 10.1109/3DV57658.2022.00072.Learning to Simulate Realistic LiDARs
2022. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. p. 8173 - 8180. DOI : 10.1109/IROS47612.2022.9981120.Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections
2022. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 591 - 601. DOI : 10.1007/978-3-031-16443-9_57.Understanding Deep Neural Networks using Adversarial Attacks
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9259.Learning to Align Sequential Actions in the Wild
2022. CVPR 2022 : IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, United States, Jun 18-24, 2022. p. 2171 - 2181. DOI : 10.1109/CVPR52688.2022.00222.Using Animal Motion Capture to Learn Neural Representations
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.DIG: Draping Implicit Garment over the Human Body
2022. 16th Asian Conference on Computer Vision (ACCV 2022), Macau SAR, China, December 4-8, 2022. p. 344 - 359. DOI : 10.1007/978-3-031-26319-4_21.Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8798.Persistent Homology with Improved Locality Information for more Effective Delineation
2022Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2021.3074366.Counting People by Estimating People Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2021.3102690.Leveraging Self-Supervision for Cross-Domain Crowd Counting
2022. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 5331 - 5342. DOI : 10.1109/CVPR52688.2022.00527.Learning to Represent and Reconstruct 3D Deformable Objects
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-7974.Improving the Training of Compact Neural Networks for Visual Recognition
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9061.Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
2022. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 503 - 513. DOI : 10.1007/978-3-031-16440-8_48.Encoder-Decoder Models for Human Segmentation and Motion Analysis
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8036.MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks
2022. European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, October 23-27, 2022. p. 576 - 592. DOI : 10.1007/978-3-031-20062-5_33.2021
Human Detection and Segmentation via Multi-view Consensus
2021. ICCV 2021 International Conference on Computer Vision, Montreal, Canada (online), October 11-17, 2021. p. 2835 - 2844. DOI : 10.1109/ICCV48922.2021.00285.Defect segmentation for multi-illumination quality control systems
Machine Vision and Applications. 2021. DOI : 10.1007/s00138-021-01244-z.Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks
Joint Meeting of Dreiländertagung & Multinational Congress on Microscopy (Microscopy Conference 2021), Digital, August 22-26, 2021.Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Ieee Transactions On Pattern Analysis And Machine Intelligence. 2021. DOI : 10.1109/TPAMI.2020.2978812.Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
2021. 18th IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada (online), October 11-17, 2021. p. 10438 - 10447. DOI : 10.1109/ICCV48922.2021.01029.LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Nature Methods. 2021. DOI : 10.1038/s41592-021-01226-z.Wide-Depth-Range 6D Object Pose Estimation in Space
2021. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 15870 - 15879. DOI : 10.1109/CVPR46437.2021.01561.Deep Active Surface Models
2021. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 21-25, 2021. p. 11652 - 11661. DOI : 10.1109/CVPR46437.2021.01148.Masksembles for Uncertainty Estimation
2021. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 13539 - 13548. DOI : 10.1109/CVPR46437.2021.01333.Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching
IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2021. DOI : 10.1109/TPAMI.2019.2934052.Image Matching Across Wide Baselines: From Paper to Practice
International Journal Of Computer Vision. 2021. DOI : 10.1007/s11263-020-01385-0.From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8035.Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
2021. 9th International Conference on 3D Vision (3DV), ELECTR NETWORK, Dec 01-03, 2021. p. 394 - 402. DOI : 10.1109/3DV53792.2021.00049.Robust Differentiable SVD
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021. DOI : 10.1109/TPAMI.2021.3072422.Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
2021. International Conference on Computer Vision (ICCV), Virtual, October 11-17, 2021. p. 13003 - 13012. DOI : 10.1109/ICCV48922.2021.01278.Human-Centered Scene Understanding via Crowd Counting
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8979.SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
2021. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, virtual, December 6-14, 2021.Motion Prediction Using Temporal Inception Module
2021. Asian Conference on Computer Vision (ACCV), Kyoto, Japan, December, 2020. p. 651 - 665. DOI : 10.1007/978-3-030-69532-3_39.2020
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
2020. Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155 - 13165. DOI : 10.1109/CVPR42600.2020.01317.TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
2020. European Conference on Computer Vision (ECCV), [Online event], August 23-28, 2020.XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
Acm Transactions On Graphics (TOG). 2020. DOI : 10.1145/3386569.3392410.Single-Stage 6D Object Pose Estimation
2020. Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, June 16 - 18, 2020. p. 2927 - 2936. DOI : 10.1109/CVPR42600.2020.00300.Shape Reconstruction by Learning Differentiable Surface Representations
2020. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 14-16, 2020. p. 4715 - 4724. DOI : 10.1109/CVPR42600.2020.00477.DISK: learning local features with policy gradient
2020. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada (online), December 6-12, 2020.Joint Segmentation and Path Classification of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2020. DOI : 10.1109/TPAMI.2019.2921327.MeshSDF: Differentiable Iso-Surface Extraction
2020. Conference on Neural Information Processing Systems (NeurIPS), [Virtual event], December, 2020.ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
2020. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 14-19, 2020. p. 100 - 109. DOI : 10.1109/CVPR42600.2020.00018.Real-time camera pose estimation for sports fields
Machine Vision and Applications (MVA). 2020. DOI : 10.1007/s00138-020-01064-7.Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures
Medical Image Analysis. 2020. DOI : 10.1016/j.media.2019.101590.Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images
IEEE Transactions on Medical Imaging. 2020. DOI : 10.1109/TMI.2019.2946462.Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings
2020. Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 16-18, 2020. p. 2056 - 2064. DOI : 10.1109/CVPR42600.2020.00213.Domain-Adaptive Multibranch Networks
2020. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.Better Patch Stitching for Parametric Surface Reconstruction
2020. 8th International Conference on 3D Vision (3DV), ELECTR NETWORK, Nov 25-28, 2020. p. 593 - 602. DOI : 10.1109/3DV50981.2020.00069.Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images
2020. European Conference on Computer Vision (ECCV 2020), [Virtual conference], August 23-28, 2020.Learning and leveraging shared domain semantics to counteract visual domain shifts
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10000.UCLID-Net: Single View Reconstruction in Object Space
2020. 34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
2020. International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), Lima, Peru, 4-8 OCTOBER 2020.2019
Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation
2019. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November 4-8, 2019. p. 244 - 249. DOI : 10.1109/IROS40897.2019.8967852.Detecting the Unexpected via Image Resynthesis
2019. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 2152 - 2161. DOI : 10.1109/ICCV.2019.00224.Probabilistic Atlases to Enforce Topological Constraints
2019. 22rd International Conference On Medical Image Computing & Computer Assisted Intervention, Shenzhen, China, 2019-10-13. DOI : 10.1007/978-3-030-32239-7_25.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019. DOI : 10.7554/eLife.48571.Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing
Sensors. 2019. DOI : 10.3390/s19194323.Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking
2019. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 4634 - 4643. DOI : 10.1109/CVPR.2019.00477.Aerodynamic shape optimization via surrogate modelling with convolutional neural networks
2019Context-Aware Crowd Counting
2019. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019. p. 5094 - 5103. DOI : 10.1109/CVPR.2019.00524.Neural Scene Decomposition for Multi-Person Motion Capture
2019. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 7695 - 7705. DOI : 10.1109/CVPR.2019.00789.Segmentation-driven 6D Object Pose Estimation
2019. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019. p. 3380 - 3389. DOI : 10.1109/CVPR.2019.00350.Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera
IEEE Transactions On Visualization And Computer Graphics. 2019. DOI : 10.1109/TVCG.2019.2898650.Geometry in active learning for binary and multi-class image segmentation
Computer Vision And Image Understanding (CVIU). 2019. DOI : 10.1016/j.cviu.2019.01.007.A Performance Evaluation of Local Features for Image-Based 3D Reconstruction
IEEE Transactions on Image Processing. 2019. DOI : 10.1109/TIP.2019.2909640.GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
2019. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8738 - 8747. DOI : 10.1109/ICCV.2019.00883.What Face and Body Shapes Can Tell Us About Height
2019. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 1819 - 1827. DOI : 10.1109/ICCVW.2019.00226.Gravity as a Reference for Estimating a Person's Height from Video
2019. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8568 - 8576. DOI : 10.1109/ICCV.2019.00866.Backpropagation-Friendly Eigendecomposition
2019. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, Dec 08-14, 2019.Shape optimisation of technical devices via gradient descent using convolutional neural network proxies
US11768983 ; US2021157962 ; EP3679495 ; CN111295657 ; WO2019048085 . 2019.Beyond Cartesian Representations for Local Descriptors
2019. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 253 - 262. DOI : 10.1109/ICCV.2019.00034.Training Algorithms for Multiple Object Tracking
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9301.Learning to Reduce Annotation Load
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9074.2018
Real-Time Seamless Single Shot 6D Object Pose Prediction
2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. p. 292 - 301. DOI : 10.1109/CVPR.2018.00038.Modeling Facial Geometry using Compositional VAEs
2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 3877 - 3886. DOI : 10.1109/CVPR.2018.00408.Learning to Reconstruct Texture-less Deformable Surfaces from a Single View
2018. International Conference on 3D Vision, Verona, Italy, September 5-8, 2018.Learning Latent Representations of 3D Human Pose with Deep Neural Networks
International Journal of Computer Vision. 2018. DOI : 10.1007/s11263-018-1066-6.Scale-Adaptive Superpixels
2018. Color and Imaging Conference (CIC26), Vancouver, Canada, November 12-16, 2018. p. 1 - 6(6). DOI : 10.2352.Learning to Reconstruct Texture-less Deformable Surfaces from a Single View
2018. 6th International Conference on 3D Vision (3DV), Verona, ITALY, Sep 05-08, 2018. p. 606 - 615. DOI : 10.1109/3DV.2018.00075.Geodesic Convolutional Shape Optimization
2018. International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018. p. 472 - 481.Learning to Segment 3D Linear Structures Using Only 2D Annotations
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Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8753.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. p. 400 - 404. DOI : 10.1109/ISBI.2018.8363602.LF-Net: Learning Local Features from Images
2018. Neural Information Processing Systems (NIPS), Montréal Canada.Every Smile is Unique: Landmark-Guided Diverse Smile Generation
2018. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 7083 - 7092. DOI : 10.1109/CVPR.2018.00740.A Domain-Adaptive Two-Stream U-Net For Electron Microscopy Image Segmentation
2018. International Symposium on Biomedical Imaging (ISBI), Washington, DC, Apr 04-07, 2018. p. 400 - 404. DOI : 10.1109/ISBI.2018.8363602.Learning to Find Good Correspondences
2018. Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 18-22, 2018. p. 2666 - 2674. DOI : 10.1109/CVPR.2018.00282.Variational Methods for Human Modeling
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.Learning Monocular 3D Human Pose Estimation from Multi-view Images
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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.Vision-based detection of aircrafts and UAVs
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7589.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.Imposing Hard Constraints on Deep Networks: Promises and Limitations
2017. CVPR Workshop on Negative Results in Computer Vision, Hawaii, HI, 2017.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.Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM
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2017. International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, October 9–13, 2017.Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency
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2017. Microscopy Conference, Lausanne, Switzerland.Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras
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2016. The 16th European Microscopy Congress 2016, Lyon, France, 28 August - 2 September, 2016. DOI : 10.1002/9783527808465.Scalable Unsupervised Domain Adaptation for Electron Microscopy
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Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7241.Automated Reconstruction of Evolving Curvilinear Tree Structures
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6930.Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems
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Sports Engineering. 2016. DOI : 10.1007/s12283-016-0210-1.Robust 3D Object Pose Estimation and Tracking from Monocular Images in Industrial Environments
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2014Multi-Commodity Network Flow for Tracking Multiple People
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2013Tubular Geodesics using Oriented Flux: An ITK Implementation
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2013. Scientific Conference Women and Handball: Scientific and Practical Approaches, Vienna, Austria, November, 2013.Tracking Multiple Players using a Single Camera
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2013Multi-camera face detection and recognition applied to people tracking
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2012. International Conference on Swarm Intelligence, Brussels, Belgium, September, 2012.Gradient Response Maps for Real-Time Detection of Textureless Objects
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IEEE Transactions on Pattern Analysis and Machine Intelligence. 2012. DOI : 10.1109/TPAMI.2012.120.Learning to Detect Objects with Minimal Supervision
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IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. DOI : 10.1109/TPAMI.2010.158.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.Multiple Object Tracking using K-Shortest Paths Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011. DOI : 10.1109/TPAMI.2011.21.Learning Real-Time Perspective Patch Rectification
International Journal of Computer Vision. 2011. DOI : 10.1007/s11263-010-0379-x.myCopter – Enabling Technologies for Personal Aerial Transportation Systems.
2011. European Rotorcraft Forum, Vergiate/Gallarate, Italy, September 13-15, 2011.Automated Detection and Delineation of Tree Structures in Noisy Micrographs
Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5065.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.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.Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors
Neuroinformatics. 2011. DOI : 10.1007/s12021-011-9122-1.Real-time vehicle tracking for driving assistance
Machine Vision and Applications. 2011. DOI : 10.1007/s00138-009-0243-6.2010
Robust, High-Speed Interest Point Matching for Real-Time Applications
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4868.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. p. 406 - 413. DOI : 10.1109/CVPR.2010.5540184.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. DOI : 10.1007/978-3-642-15705-9_36.DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4830.Deformable Surface 3D Reconstruction from Monocular Images
Morgan-Claypool.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. p. 463 - 471. DOI : 10.1007/978-3-642-15745-5_57.LDAHash: Improved matching with smaller descriptors
2010Simultaneous 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. p. 1221 - 1228. DOI : 10.1109/CVPR.2010.5539827.Pedestrian localization, tracking and behavior analysis from multiple cameras
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4629.Making Action Recognition Robust to Occlusions and Viewpoint Changes
2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010. p. 635 - 648. DOI : 10.1007/978-3-642-15558-1_46.Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4699.Monocular 3D Reconstruction of Locally Textured Surfaces
2010View-Based Maps
International Journal of Robotics Research. 2010. DOI : 10.1177/0278364910370376.Exploring Ambiguities for Monocular Non-Rigid Shape Estimation
2010. European Conference on Computer Vision, Heraklion, Greece, September, 2010. p. 370 - 383. DOI : 10.1007/978-3-642-15558-1_27.SLIC Superpixels
2010Pareto-optimal Dictionaries for Signatures
2010. Conference on Computer Vision and Pattern Recognition, June. p. 3011 - 3018. DOI : 10.1109/CVPR.2010.5540050.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.Large occlusion completion using normal maps
2010. Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010.Pareto-optimal Dictionaries for Signatures
2010. Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, Jun 13-18, 2010. p. 3011 - 3018. DOI : 10.1109/CVPR.2010.5540050.Combining Geometric and Appearance Priors for Robust Homography Estimation
2010. p. 58 - 72. DOI : 10.1007/978-3-642-15558-1_5.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.Least-Squares Minimization Under Constraints
2010Fast Keypoint Recognition using Random Ferns
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010. DOI : 10.1109/TPAMI.2009.23.Simultaneous Pose, Correspondence and Non-Rigid Shape
2010. Conference on Computer Vision and Pattern Recognition. p. 1189 - 1196. DOI : 10.1109/CVPR.2010.5539831.BRIEF: Binary Robust Independent Elementary Features
2010. 11th European Conference on Computer Vision (ECCV). p. 778 - 792. DOI : 10.1007/978-3-642-15561-1_56.Delineating Trees in Noisy 2D Images and 3D Image Stacks
2010. International Conference on Computer Vision and Pattern Recognition. p. 2799 - 2806. DOI : 10.1109/CVPR.2010.5540010.Learning Pose Invariant and Covariant Classifiers from Image Sequences
Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4746.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.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.Supervoxel-Based Segmentation of EM Image Stacks with Learned Shape Features
20102009
Memories of the world of the mountains
Leonardo. 2009. DOI : 10.1162/leon.2009.42.4.350.Joint Pose Estimator and Feature Learning for Object Detection
2009. IEEE International Conference on Computer Vision. p. 1373 - 1380. DOI : 10.1109/ICCV.2009.5459304.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.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. DOI : 10.1109/ICCV.2009.5459272.Learning and recovering 3D surface deformations
Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4270.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.View-Based Maps
2009. Robotics: Science and Systems Conference, Seattle, June 2009.Steerable Features for Statistical 3D Dendrite Detection
2009. Twelfth International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'09), London, UK, September 20-24, 2009. p. 625 - 632. DOI : 10.1007/978-3-642-04271-3_76.Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems
2009. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA, June 20-25, 2009. p. 55 - 62.Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009. DOI : 10.1109/TPAMI.2008.236.Multiple Object Tracking using Flow Linear Programming
2009. 12th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (Winter-PETS 2009), Snowbird, Utah. DOI : 10.1109/PETS-WINTER.2009.5399488.Training for Task Specific Keypoint Detection
2009. DAGM Symposium on Pattern Recognition, Jena, GERMANY, Sep 09-11, 2009. p. 151 - 160. DOI : 10.1007/978-3-642-03798-6_16.Compact Signatures for High-speed Interest Point Description and Matching
2009. International Conference on Computer Vision, September, 2009.Specularities as an information source in the presence of texture
Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4387.Capturing 3D Stretchable Surfaces from Single Images in Closed Form
2009. Computer Vision and Pattern Recognition (CVPR). p. 1842 - 1849. DOI : 10.1109/CVPR.2009.5206758.Image Summaries using Database Saliency
2009. The 2nd ACM SIGGRAPH Conference and Exhibition in Asia (SIGGRAPH Asia), Yokohama, Japan, December 16-19, 2009. DOI : 10.1145/1666778.1666821.EPnP: An Accurate O(n) Solution to the PnP Problem
International Journal Of Computer Vision. 2009. DOI : 10.1007/s11263-008-0152-6.Template-Free Monocular Reconstruction of Deformable Surfaces
2009. International Conference on Computer Vision, Kyoto, September 27 - October 4, 2009.Multiple Object Tracking using Flow Linear Programming
2009Observable Subspaces for 3D Human Motion Recovery
2009. IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, June 22 - 24, 2009. p. 1137 - 1144. DOI : 10.1109/CVPR.2009.5206489.Learning Rotational Features for Filament Detection
2009. International Conference on Computer Vision and Pattern Recognition. p. 1582 - 1589. DOI : 10.1109/CVPR.2009.5206511.2008
Pose Priors for Simultaneously Solving Alignment and Correspondence
2008. European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 405 - 418. DOI : 10.1007/978-3-540-88688-4_30.Linking Pose and Motion
2008. European Conference on Computer Vision, Marseille, October 12-18, 2008. p. 200 - 213. DOI : 10.1007/978-3-540-88693-8_15.On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery
2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, June 24-26, 2008. DOI : 10.1109/CVPR.2008.4587706.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.IA Generative Model for True Orthorectification
2008. ISPRS Congress, Beijing, 2008. p. 303 - 308.Automated Delineation of Dendritic Networks in Noisy Image Stacks
2008. European Conference on Computer Vision, Marseille, October 13-16, 2008. p. 214 - 227. DOI : 10.1007/978-3-540-88693-8_16.Tracking Articulated Bodies using Generalized Expectation Maximization
2008. CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Anchorage, June 27-28, 2006. DOI : 10.1109/CVPRW.2008.4563073.A Generative Model for True Orthorectification
2008. ISPRS Congress Beijing 2008, Beijing, 2008.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. DOI : 10.1109/CVPR.2008.4587499.Principled Detection-by-Classification from Multiple Views
2008. International Conference on Computer Vision Theory and Applications, Funchal, Madeira, January 22-25, 2008. p. 375 - 382.Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
International Journal of Computer Vision. 2008. DOI : 10.1007/s11263-006-0017-9.3D pose refinement from reflections
2008. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, Jun 23-28, 2008. p. 1205 - 1212. DOI : 10.1109/CVPR.2008.4587498.Closed-Form Solution to Non-rigid 3D Surface Registration
2008. European Conference on Computer Vision, Marseille, FRANCE, Oct 12-18, 2008. p. 581 - 594. DOI : 10.1007/978-3-540-88693-8_43.Automated Delineation of Dendritic Networks in Noisy Image Stacks
2008. European Conference on Computer Vision. p. 214 - 227. DOI : 10.1007/978-3-540-88693-8_16.A fast local descriptor for dense matching
2008. Conference on Computer Vision and Pattern Recognition, Alaska, USA, June 24-26, 2008. DOI : 10.1109/CVPR.2008.4587673.Making Background Subtraction Robust to Sudden Illumination Changes
2008. European Conference on Computer Vision, Marseille, France, Oct 12-18, 2008. p. 567 - 580. DOI : 10.1007/978-3-540-88693-8_42.Augmented reality for non-rigid surfaces
Lausanne, EPFL, 2008. DOI : 10.5075/epfl-thesis-4192.Multi-Camera People Tracking with a Probabilistic Occupancy Map
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2008. DOI : 10.1109/TPAMI.2007.1174.Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps
2008. Proceedings of the 10th European Conference on Computer Vision, Marseille, October 12-18, 2008. p. 112 - 125. DOI : 10.1007/978-3-540-88690-7_9.Keypoint Signatures for Fast Learning and Recognition
2008. European Conference on Computer Vision, Marseille, FRANCE, Oct 12-18, 2008. p. 58 - 71. DOI : 10.1007/978-3-540-88682-2_6.Keypoint Signatures for Fast Learning and Recognition
2008. European Conference on Computer Vision, Marseilles, October 2008. p. 58 - 71. DOI : 10.1007/978-3-540-88682-2_6.2007
Surface Deformation Models for Non-Rigid 3--D Shape Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2007. DOI : 10.1109/TPAMI.2007.1080.Implicit Meshes for Effective Silhouette Handling
International Journal of Computer Vision. 2007. DOI : 10.1007/s11263-006-8595-0.Accurate non-iterative O(n) solution to the PnP problem
2007. 11th IEEE International Conference on Computer Vision, Rio de Janeiro, BRAZIL, Oct 14-21, 2007. p. 2252 - 2259. DOI : 10.1109/ICCV.2007.4409116.Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture
2007. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 17-22, 2007. p. 1 - 8. DOI : 10.1109/CVPR.2007.383297.Retexturing in the Presence of Complex Illumination and Occlusions
2007. International Symposium on Mixed and Augmented Reality, Nara, Japan, November, 2007.Accurate Non-Iterative O(n) Solution to the PnP Problem
2007. International Conference on Computer Vision, 2007.Robust Multi-View Change Detection
2007. British Machine Vision Conference, Warwick, September 10-13, 2007. p. 72.1 - 72.10. DOI : 10.5244/C.21.72.Fast Keypoint Recognition in Ten Lines of Code
2007. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, June 18-23, 2007. DOI : 10.1109/CVPR.2007.383123.Spatio-temporal human pose detection
Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3903.2006
Temporal Motion Models for Monocular and Multiview 3–D Human Body Tracking
Computer Vision and Image Understanding. 2006. DOI : 10.1016/j.cviu.2006.08.006.Feature Harvesting for Tracking-by-Detection
2006. European Conference on Computer Vision, Graz, May 7-13, 2006. p. 592 - 605. DOI : 10.1007/11744078_46.Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors
Ieee Transactions on Biomedical Engineering. 2006. DOI : 10.1109/TBME.2006.873678.An all-in-one solution to geometric and photometric calibration
2006. International Symposium on Mixed and Augmented Reality, Santa Barbara, CA, October 2006. DOI : 10.1109/ISMAR.2006.297796.Human body pose detection using Bayesian spatio-temporal templates
Computer Vision and Image Understanding. 2006. DOI : 10.1016/j.cviu.2006.07.007.3D people tracking with Gaussian process dynamical models
2006. Computer Vision and Pattern Recognition, June, 2006. p. 238 - 245. DOI : 10.1109/CVPR.2006.15.Robust People Tracking with Global Trajectory Optimization
2006. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, June 17-22, 2006. p. 744 - 750. DOI : 10.1109/CVPR.2006.258.Implicit Meshes for Surface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. DOI : 10.1109/TPAMI.2006.37.Motion models for robust 3D human body tracking
Lausanne, EPFL, 2006. DOI : 10.5075/epfl-thesis-3541.Keypoint Recognition using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. DOI : 10.1109/TPAMI.2006.188.Dendrite Tracking in Microscopic Images using Minimum Spanning Trees and Localized E-M
20062005
Hierarchical Implicit Surface Joint Limits for Human Body Tracking
Computer Vision and Image Understanding. 2005. DOI : 10.1016/j.cviu.2005.01.005.Fast Texture-Based Tracking and Delineation Using Texture Entropy
2005. p. 1154 - 1160. DOI : 10.1109/ICCV.2005.97.Priors for People Tracking from Small Training Sets
2005. International Conference in Computer Vision. p. 403 - 410. DOI : 10.1109/ICCV.2005.193.Human Body Pose Recognition Using Spatio-Temporal Templates
2005. ICCV workshop on Modeling People and Human Interaction, Beijing, China.Real-Time Non-Rigid Surface Detection
2005. Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 2005. p. 822 - 828. DOI : 10.1109/CVPR.2005.293.Implicit Surfaces Make for Better Silhouettes
2005. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA. p. 1135 - 1142. DOI : 10.1109/CVPR.2005.185.Monocular 3--D Tracking of the Golf Swing
2005. Conference on Computer Vision and Pattern Recognition, San Diego. p. 932 - 939. DOI : 10.1109/CVPR.2005.229.Multiple Light Sources Recovery in the Presence of Specularities and Texture
2005Implicit meshes : unifying implicit and explicit surface representations for 3D reconstruction and tracking
Lausanne, EPFL, 2005. DOI : 10.5075/epfl-thesis-3243.An Investigation of Model Bias in 3D Face Tracking
2005. Conference on Analysis and Modelling of Faces and Gestures. p. 125 - 139. DOI : 10.1007/11564386_11.Classifier-based Contour Tracking for Rigid and Deformable Objects
2005. British Machine Vision Conference. p. 56.1 - 56.10. DOI : 10.5244/C.19.56.Augmenting Deformable Objects in Real-Time
2005. International Symposium on Mixed and Augmented Reality, Vienna, Austria, October 2005. p. 134 - 137. DOI : 10.1109/ISMAR.2005.18.Real-Time Non-Rigid Surface Detection
2005. Conference on Computer Vision and Pattern Recognition, San Diego, CA. p. 822 - 828. DOI : 10.1109/CVPR.2005.293.Fixed Point Probability Field for Complex Occlusion Handling
2005. p. 694 - 700. DOI : 10.1109/ICCV.2005.102.Parameterizing Deformable Surfaces for Monocular 3--D Tracking
2005Probabilistic modeling of texture transition for fast tracking and delineation
Lausanne, EPFL, 2005. DOI : 10.5075/epfl-thesis-3377.Randomized Trees for Real-Time Keypoint Recognition
2005. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA. p. 775 - 781. DOI : 10.1109/CVPR.2005.288.Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking
2005. p. 12.1 - 12.10. DOI : 10.5244/C.19.12.Monocular Model-Based 3D Tracking of Rigid Objects: A Survey
Foundations and Trends in Computer Graphics and Vision. 2005. DOI : 10.1561/0600000001.2004
Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture
2004. European Conference on Computer Vision, Prague, Czech Republic. p. 405 - 418. DOI : 10.1007/978-3-540-24671-8_32.Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
2004. Conference on Computer Vision and Pattern Recognition. DOI : 10.1109/CVPR.2004.1315170.Hierarchical Implicit Surface Joint Limits for Human Body Tracking
2004Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
2004. Conference on Computer Vision and Pattern Recognition. DOI : 10.1109/CVPR.2004.1315278.Towards Recognizing Feature Points using Classification Trees
20043D human body tracking using deterministic temporal motion models
2004. 8th European Conference on Computer Vision, Prague, CZECH REPUBLIC, May 11-14, 2004. p. 92 - 106. DOI : 10.1007/978-3-540-24672-5_8.3D Tracking for Gait Characterization and Recognition
2004. DOI : 10.1109/AFGR.2004.1301503.Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking
2004. International Symposium on Mixed and Augmented Reality, Arlington, VA. DOI : 10.1109/ISMAR.2004.24.Implicit Meshes Make for Better Silhouettes
2004Multi modal tracking in complex environments for augmented reality applications
Lausanne, EPFL, 2004. DOI : 10.5075/epfl-thesis-3114.Randomized Trees for Real-Time Keypoint Recognition
20043D Human Body Tracking using Deterministic Temporal Motion Models
2004Markov-based Silhouette Extraction for Three--Dimensional Body Tracking in Presence of Cluttered Background
2004. British Machine Vision Conference. p. 17.1 - 17.10. DOI : 10.5244/C.18.17.Monocular 3-D Tracking of the Golf Swing
2004Using biomechanical constraints to improve video-based motion capture
Lausanne, EPFL, 2004. DOI : 10.5075/epfl-thesis-2892.A Stable Real-Time AR Framework for Training and Planning in Industrial Environments
2004. p. 129 - 146. DOI : 10.1007/978-1-4471-3873-0_8.Implicit Meshes for Surface Reconstruction
2004Style-based Motion Synthesis
Computer Graphics Forum. 2004. DOI : 10.1111/j.1467-8659.2004.00809.x.Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
2004Real-time non-rigid surface detection
2004Mahalanobis Motion Generation
2004Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
2004Fast Texture-Based Tracking and Delineation Using Texture Entropy
20043--D Motion Analysis and Synthesis from Inertial Gyroscopes and Image Data
2004.Stable Real-Time 3D Tracking Using Online and Offline Information
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004. DOI : 10.1109/TPAMI.2004.92.3D Tracking for Gait Characterization and Recognition
2004Fixed Point Probability Field for Occlusion Handling
2004Texture Boundary Detection for Real-Time Tracking
2004.Stable Real-Time AR Framework for Training and Planning in Industrial Environments
Virtual and Augmented Reality Applications in Manufacturing; Springer-Verlag, 2004. p. 129 - 145.2003
Robust tracking and segmentation of human motion in an image sequence
2003. p. 29 - 32. DOI : 10.1109/ICASSP.2003.1199099.Automatic Determination of Shoulder Joint Limits using Experimentally Determined Quaternion Field Boundaries
International Journal of Robotics Research. 2003. DOI : 10.1177/0278364903022006005.Self-consistency and MDL: a paradigm for evaluating point correspondence algorithms and detecting change
International Journal of Computer Vision. 2003. DOI : 10.1023/A:1020940807324.From Explicit to Implicit Surfaces for Visualization, Animation and Modeling
2003.Visual Golf Club Tracking for Enhanced Swing Analysis Tools
2003. British Machine Vision Conference, Norwich, UK. p. 47.1 - 47.10. DOI : 10.5244/C.17.47.Least Squares Matching Tracking Algorithm for Human Body Modeling
2003. XIX Congress for the International Society for Photogrammetry and Remote Sensing Congress, Amsterdam, Netherlands, 16-23 July 2003.Stable Real-Time Interaction Between Virtual Humans and Real Scenes
2003. International Conference on 3-D Digital Imaging and Modeling, Banff, Alberta, Canada. p. 449 - 456. DOI : 10.1109/IM.2003.1240281.Fusing Online and Offline Information for Stable 3D Tracking in Real-Time
2003. Conference on Computer Vision and Pattern Recognition, Madison, WI, USA. DOI : 10.1109/CVPR.2003.1211476.Fully Automated and Stable Registration for Augmented Reality Applications
2003. International Symposium on Mixed and Augmented Reality, Tokyo, Japan. DOI : 10.1109/ISMAR.2003.1240692.Generic Deformable Implicit Mesh Models for Automated Reconstruction
2003. ICCV workshop on Higher-Level Knowledge in 3D Modelling and Motion Analysis, Nice, France. p. 29 - 38. DOI : 10.1109/HLK.2003.1240856.Real-time augmented face
2003. International Symposium on Mixed and Augmented Reality. p. 346 - 347. DOI : 10.1109/ISMAR.2003.1240753.Bundle Adjustment for Markerless Body Tracking in Monocular Video Sequences
2003.Articulated Soft Objects for Multi-View Shape and Motion Capture
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2003. DOI : 10.1109/TPAMI.2003.1227995.Robust Data Association For Online Applications
2003. DOI : 10.1109/CVPR.2003.1211365.Implicit Meshes for Modeling and Reconstruction
2003. Conference on Computer Vision and Pattern Recognition, Madison, WI. DOI : 10.1109/CVPR.2003.1211506.2002
An Automatic Method For Determining Quaternion Field Boundaries for Ball-and-Socket Joint Limits
2002. Automated Face and Gesture Recognition, Washington, DC. p. 95 - 100. DOI : 10.1109/AFGR.2002.1004138.Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
2002. European Conference on Computer Vision (ECCV), Copenhagen, Denmark. p. 704 - 717. DOI : 10.1007/3-540-47967-8_47.Polyhedral object detection and pose estimation for augmented reality applications
2002. Computer Animation, Geneva, Switzerland. p. 65 - 69. DOI : 10.1109/CA.2002.1017508.Markerless Full Body Shape and Motion Capture from Video Sequences
2002.Recovery of Reflectances and Varying Illuminants from Multiple Views
2002. European Conference on Computer Vision, Copenhagen, Denmark. p. 163 - 179. DOI : 10.1007/3-540-47977-5_11.Model-Based Silhouette Extraction for Accurate People Tracking
2002. European Conference on Computer Vision, Copenhagen, Denmark. p. 325 - 339. DOI : 10.1007/3-540-47967-8_22.The radiometry of multiple images
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002. DOI : 10.1109/34.982882.2001
Human body modeling from video sequences
Lausanne, EPFL, 2001. DOI : 10.5075/epfl-thesis-2493.On Implicit Modeling for Fitting Purposes
2001. p. 109 - 119. DOI : 10.1007/978-0-306-47002-8_10.Real-Time 3D Object Recognition for Automatic Tracker Initialization
2001. International Symposium on Augmented Reality, Newyork, USA, 29-30 October, 2001. p. 175 - 176. DOI : 10.1109/ISAR.2001.970529.Tracking and Modeling People in Video Sequences
Computer Vision and Image Understanding. 2001. DOI : 10.1006/cviu.2000.0891.Using skeleton-based tracking to increase the reliability of optical motion capture
Human Movement Science. 2001. DOI : 10.1016/S0167-9457(01)00050-1.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 |
Teaching & PhD
Teaching
Computer Science
Communication Systems
PhD Students
Chen Yihong, Deng Zhantao, Dumery Corentin Camille Marius, Fan Aoxiang, Javed Saqib, Li Ren, Sayin Mercadier Deniz, Stella Federico, Talabot Nicolas, Wei Zhen, Zhang Tianzong, Zhao Chen,Past EPFL PhD Students
Ali Karim , Bagautdinov Timur , Baqué Pierre Bruno , Becker Carlos Joaquin , Bednarík Jan , Ben Shitrit Horesh Beny , Berclaz Jérôme , Bermúdez Chacón Róger , Bhattacharjee Deblina , Calonder Michael , Crivellaro Alberto , Davydov Andrey , Durasov Nikita , Fossati Andrea , Glowacki Przemyslaw Rafal , González Serrano Germán , Guillard Benoît Alain René , Guo Shuxuan , Günel Semih , Honzátko David , Katircioglu Isinsu , Kiciroglu Sena , Konyushkova Ksenia , Lis Krzysztof Maciej , Liu Weizhe , Lucchi Aurélien , Maksai Andrii , Mosinska Agata Justyna , Nakka Krishna Kanth , Ngo Tien Dat , Oner Doruk , Pilet Julien , Remelli Edoardo , Rigamonti Roberto , Rozantsev Artem , Salzmann Mathieu , Sironi Amos , Sun Xiaolu , Tekin Bugra , Tola Engin , Trzcinski Tomasz Piotr , Tyszkiewicz Michal Jan , Türetken Engin , Varol Aydin , Vidit Vidit , Wang Xinchao , Wickramasinghe Pamuditha Udaranga , Yu Kaicheng , Özuysal Mustafa ,Courses
Introduction to machine learning
Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.
Computer vision
Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.
We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability.