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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IC-SIN
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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
2024
Enabling Uncertainty Estimation in Iterative Neural Networks
2024-05-24. International Conference on Machine Learning, Vienna, July 21-27, 2024.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.DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization
2024. AIAA AVIATION Forum, Las Vegas, NV, USA, July 29–August 2, 2024.DeepMesh: Differentiable Iso-Surface Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence. 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.Detecting Road Obstacles by Erasing Them
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024. DOI : 10.1109/TPAMI.2023.3335152.Garment Recovery with Shape and Deformation Priors
2024. The IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17-21, 2024.Aggregating Spatial and Photometric Context for Photometric Stereo
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9806.Incorporating Projective Geometry into Deep Learning
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10538.2023
Learning for Multi-View Tracking
2023-08-15Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics
Aiaa Journal. 2023-06-23. DOI : 10.2514/1.J062533.State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Computer Graphics Forum. 2023-05-01. 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. 2023-04-17. DOI : 10.1038/s41592-023-01848-5.Perspective Aware Road Obstacle Detection
Ieee Robotics And Automation Letters. 2023-04-01. 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. 2023-02-03. DOI : 10.1115/1.4056663.Informing Neural Networks with Simplified Physics for Better Flow Prediction
2023-01-20GECCO: Geometrically-Conditioned Point Diffusion Models
2023-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, OCT 02-06, 2023. p. 2128-2138. DOI : 10.1109/ICCV51070.2023.00203.Numerical study of divertor detachment in TCV H-mode scenarios
Plasma Physics And Controlled Fusion. 2023-12-01. DOI : 10.1088/1361-6587/ad06c7.DrapeNet: Garment Generation and Self-Supervised Draping
2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 1451-1460. DOI : 10.1109/CVPR52729.2023.00146.Topologically Better Delineation of Curvilinear Structures
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9749.Deep Learning for 3D Surface Modelling and Reconstruction
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10386.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.Improving Object Detection under Domain Shifts
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9805.Tracking 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.Geometrically-Conditioned Point Diffusion Models
2023. International Conference on Computer Vision (ICCV), Paris.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.LightDepth: 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.Multi-view Tracking UsingWeakly Supervised Human Motion Prediction
2023-01-01. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 03-07, 2023. p. 1582-1592. DOI : 10.1109/WACV56688.2023.00163.Detecting Anomalies and Obstacles in Road Scenes
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.A method and system for enforcing smoothness constraints on surface meshes from a graph convolutional neural network
US2023169732 . 2023.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.DrapeNet: Garment Generation and Self-Supervised Draping
2023. The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, June 18-22, 2023. DOI : 10.48550/arxiv.2211.11277.Automated Human Motion Analysis and Synthesis
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8976.Latent Representation of CFD Meshes and Application to Airfoil Aerodynamics
2023Multi-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.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/WACV56688.2023.00021.2022
Overcoming the Domain Gap in Neural Action Representations
International Journal Of Computer Vision. 2022-12-19. DOI : 10.1007/s11263-022-01713-6.Self-supervised Segmentation via Background Inpainting
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022-12-12. DOI : 10.1109/TPAMI.2021.3123902.3D Pose Based Feedback For Physical Exercises
2022-11-24. 16th Asian Conference on Computer Vision (ACCV 2022), Macau, China, December 4-8, 2022. p. 1316-1332. DOI : 10.1007/978-3-031-26316-3_12.Adversarial Parametric Pose Prior
2022-09-27. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, USA, June 18-24, 2022. p. 10987-10995. DOI : 10.1109/CVPR52688.2022.01072.Weakly Supervised Volumetric Image Segmentation with Deformed Templates
2022-09-18. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore, September 18-22, 2022. p. 422-432. DOI : 10.1007/978-3-031-16443-9_41.On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation
2022-09-12. 10th International Conference on 3D Vision 2022 (3DV), Prague, Czechia, September 12-15, 2022. p. 577-586. DOI : 10.1109/3DV57658.2022.00068.Long Term Motion Prediction Using Keyposes
2022-09-12. International Conference on 3D Vision (3DV), Prague, Czech Republic, September 12-15, 2022. p. 12-21. DOI : 10.1109/3DV57658.2022.00014.Generating LOD3 building models from structure-from-motion and semantic segmentation
Automation In Construction. 2022-09-01. DOI : 10.1016/j.autcon.2022.104430.TOPO-Loss for continuity-preserving crack detection using deep learning
Construction And Building Materials. 2022-08-15. DOI : 10.1016/j.conbuildmat.2022.128264.Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate
IEEE Transactions on Medical Imaging. 2022-07-21. DOI : 10.1109/TMI.2022.3193072.ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging
2022-07-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 15840-15850. DOI : 10.1109/CVPR52688.2022.01540.Leveraging Self-Supervision for Cross-Domain Crowd Counting
2022-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 5331-5342. DOI : 10.1109/CVPR52688.2022.00527.Persistent Homology with Improved Locality Information for more Effective Delineation
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2023.3246921.Improving the Training of Compact Neural Networks for Visual Recognition
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9061.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.Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
2022-01-01. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 503-513. DOI : 10.1007/978-3-031-16440-8_48.Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections
2022-01-01. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, SINGAPORE, Sep 18-22, 2022. p. 591-601. DOI : 10.1007/978-3-031-16443-9_57.Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022. DOI : 10.1109/TPAMI.2022.3215307.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.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.Understanding Deep Neural Networks using Adversarial Attacks
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9259.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.Object Priors for Volumetric Image Segmentation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8853.Using Animal Motion Capture to Learn Neural Representations
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8798.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.Encoder-Decoder Models for Human Segmentation and Motion Analysis
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8036.Learning to Represent and Reconstruct 3D Deformable Objects
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-7974.Promoting 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.GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss
IEEE Transactions On Pattern Analysis And Machine Intelligence. 2022. DOI : 10.1109/TPAMI.2020.3010886.2021
Human Detection and Segmentation via Multi-view Consensus
2021-10-11. ICCV 2021 International Conference on Computer Vision, Montreal, Canada (online), October 11-17, 2021. p. 2835-2844. DOI : 10.1109/ICCV48922.2021.00285.Defect segmentation for multi-illumination quality control systems
Machine Vision and Applications. 2021-09-23. 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. 2021-09-01. DOI : 10.1109/TPAMI.2020.2978812.Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
2021-08-18. 18th IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada (online), October 11-17, 2021. p. 10438-10447. DOI : 10.1109/ICCV48922.2021.01029.LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Nature Methods. 2021-08-01. DOI : 10.1038/s41592-021-01226-z.Wide-Depth-Range 6D Object Pose Estimation in Space
2021-06-25. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 15865-15874. DOI : 10.1109/CVPR46437.2021.01561.Deep Active Surface Models
2021-06-24. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 21-25, 2021. p. 11652-11661. DOI : 10.1109/CVPR46437.2021.01148.Masksembles for Uncertainty Estimation
2021-06-19. Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021. p. 13539-13548. DOI : 10.1109/CVPR46437.2021.01333.Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching
IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2021-02-01. DOI : 10.1109/TPAMI.2019.2934052.SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
2021. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, virtual, December 6-14, 2021.Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
2021-01-01. 9th International Conference on 3D Vision (3DV), ELECTR NETWORK, Dec 01-03, 2021. p. 394-402. DOI : 10.1109/3DV53792.2021.00049.Human-Centered Scene Understanding via Crowd Counting
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8979.Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions
Agu Advances. 2021-03-01. DOI : 10.1029/2020AV000321.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.Robust Differentiable SVD
IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2021. DOI : 10.1109/TPAMI.2021.3072422.From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8035.PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
2021. Conference on Computer Vision and Pattern Recognition (CVPR), Online, June 19-25, 2021. p. 9060-9069. DOI : 10.1109/CVPR46437.2021.00895.Deep Image Restoration: Between Data Fidelity and Learned Priors
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8057.Image Matching Across Wide Baselines: From Paper to Practice
International Journal Of Computer Vision. 2021. DOI : 10.1007/s11263-020-01385-0.2020
Motion Prediction Using Temporal Inception Module
2020-12-30. Asian Conference on Computer Vision (ACCV), Kyoto, Japan, December, 2020. p. 651-665. DOI : 10.1007/978-3-030-69532-3_39.Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
2020-09-01. 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
2020-08-23. European Conference on Computer Vision (ECCV), [Online event], August 23-28, 2020.Estimating People Flows to Better Count Them in Crowded Scenes
2020-08-23. European Conference on Computer Vision (ECCV), [Online event], August 23-28, 2020. p. 723-740. DOI : 10.1007/978-3-030-58555-6_43.XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
Acm Transactions On Graphics (TOG). 2020-07-01. DOI : 10.1145/3386569.3392410.Single-Stage 6D Object Pose Estimation
2020-06-16. 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
2020-06-14. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 14-16, 2020. p. 4715-4724. DOI : 10.1109/CVPR42600.2020.00477.DISK: learning local features with policy gradient
2020-06-01. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada (online), December 6-12, 2020.MeshSDF: Differentiable Iso-Surface Extraction
2020-06-01. Conference on Neural Information Processing Systems (NeurIPS), [Virtual event], December, 2020.ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture
2020-06-01. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 14-19, 2020. p. 100-109. DOI : 10.1109/CVPR42600.2020.00018.Joint Segmentation and Path Classification of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2020-06-01. DOI : 10.1109/TPAMI.2019.2921327.Real-time camera pose estimation for sports fields
Machine Vision and Applications (MVA). 2020-03-25. 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. 2020-02-01. DOI : 10.1016/j.media.2019.101590.Better Patch Stitching for Parametric Surface Reconstruction
2020-01-01. 8th International Conference on 3D Vision (3DV), ELECTR NETWORK, Nov 25-28, 2020. p. 593-602. DOI : 10.1109/3DV50981.2020.00069.UCLID-Net: Single View Reconstruction in Object Space
2020. 34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images
2020. European Conference on Computer Vision (ECCV 2020), [Virtual conference], August 23-28, 2020.On the adjustment, calibration and orientation of drone photogrammetry and laser-scanning
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7826.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.Learning and leveraging shared domain semantics to counteract visual domain shifts
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10000.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.Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images
IEEE Transactions on Medical Imaging. 2020. DOI : 10.1109/TMI.2019.2946462.Domain-Adaptive Multibranch Networks
2020. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.2019
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. p. 244-249. DOI : 10.1109/IROS40897.2019.8967852.Detecting the Unexpected via Image Resynthesis
2019-10-27. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 2152-2161. DOI : 10.1109/ICCV.2019.00224.Probabilistic Atlases to Enforce Topological Constraints
2019-10-10. 22rd International Conference On Medical Image Computing & Computer Assisted Intervention, Shenzhen, China, 2019-10-13. DOI : 10.1007/978-3-030-32239-7_25.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019-10-04. 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. 2019-10-01. DOI : 10.3390/s19194323.Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking
2019-06-23. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 4634-4643. DOI : 10.1109/CVPR.2019.00477.Aerodynamic shape optimization via surrogate modelling with convolutional neural networks
2019-06-21Neural Scene Decomposition for Multi-Person Motion Capture
2019-06-20. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 7695-7705. DOI : 10.1109/CVPR.2019.00789.Context-Aware Crowd Counting
2019-06-20. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 16-20, 2019. p. 5094-5103. DOI : 10.1109/CVPR.2019.00524.Segmentation-driven 6D Object Pose Estimation
2019-06-16. Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, June 16-20, 2019. p. 3380-3389. DOI : 10.1109/CVPR.2019.00350.Mo(2)Cap(2): Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera
IEEE Transactions On Visualization And Computer Graphics. 2019-05-01. DOI : 10.1109/TVCG.2019.2898650.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.A Performance Evaluation of Local Features for Image-Based 3D Reconstruction
IEEE Transactions on Image Processing. 2019-04-11. DOI : 10.1109/TIP.2019.2909640.What Face and Body Shapes Can Tell Us About Height
2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 1819-1827. DOI : 10.1109/ICCVW.2019.00226.Beyond Cartesian Representations for Local Descriptors
2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 253-262. DOI : 10.1109/ICCV.2019.00034.Gravity as a Reference for Estimating a Person's Height from Video
2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8568-8576. DOI : 10.1109/ICCV.2019.00866.GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
2019-01-01. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 8738-8747. DOI : 10.1109/ICCV.2019.00883.Backpropagation-Friendly Eigendecomposition
2019-01-01. 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.Recurrent U-Net for Resource-Constrained Segmentation
2019-10-27. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, SOUTH KOREA, Oct 27-Nov 02, 2019. p. 2142-2151. DOI : 10.1109/ICCV.2019.00223.Learning Approach to Delineation of Curvilinear Structures in 2D and 3D Images
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9301.Training Algorithms for Multiple Object Tracking
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.Learning to Reduce Annotation Load
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9074.2018
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. p. 3877-3886. DOI : 10.1109/CVPR.2018.00408.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. p. 292-301. DOI : 10.1109/CVPR.2018.00038.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.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.Method, system, and device for learned invariant feature transform for computer images
US10552709 ; US2018096224 . 2018.Scale-Adaptive Superpixels
2018. Color and Imaging Conference (CIC26), Vancouver, Canada, November 12-16, 2018. p. 1-6(6). DOI : 10.2352.Every Smile is Unique: Landmark-Guided Diverse Smile Generation
2018-01-01. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 7083-7092. DOI : 10.1109/CVPR.2018.00740.Learning to Find Good Correspondences
2018-01-01. Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, Jun 18-23, 2018. p. 2666-2674. DOI : 10.1109/CVPR.2018.00282.Learning Monocular 3D Human Pose Estimation from Multi-view Images
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.LF-Net: Learning Local Features from Images
2018. Neural Information Processing Systems (NIPS), Montréal Canada.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. DOI : 10.1109/ISBI.2018.8363602.Geodesic Convolutional Shape Optimization
2018.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.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.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.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.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.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.Real-Time Generative Hand Modeling and Tracking
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8573.Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
2018. European Conference on Computer Vision, Munich, Germany, September 8-14, 2018. p. 768-783. DOI : 10.1007/978-3-030-01228-1_47.Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation
2018. European Conference on Computer Vision (ECCV). p. 765–782. DOI : 10.1007/978-3-030-01249-6_46.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.Variational Methods for Human Modeling
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.Mean-Field methods for Structured Deep-Learning in Computer Vision
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8677.Geodesic Convolutional Shape Optimization
2018. International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018. p. 472-481.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.Computational Aesthetics and Image Enhancements using Deep Neural Networks
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8420.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.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.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.Beyond Sharing Weights for Deep Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018. DOI : 10.1109/TPAMI.2018.2814042.2017
Imposing Hard Constraints on Deep Networks: Promises and Limitations
2017. CVPR Workshop on Negative Results in Computer Vision, Hawaii, HI, 2017.Learning Active Learning from Data
2017. Conference on Neural Information Processing Systems (NIPS).Non-Markovian Globally Consistent Multi-Object Tracking
2017. 2017 IEEE International Conference on Computer Vision (ICCV). p. 2563-2573. DOI : 10.1109/ICCV.2017.278.Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
2017. p. 271-279. DOI : 10.1109/ICCV.2017.38.Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence
US2017316578 . 2017.Geometric Graph Matching Using Monte Carlo Tree Search
Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/Tpami.2016.2636200.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.Physics-based Reconstruction and Animation of Humans
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7880.Tilt-less 3-D electron imaging and reconstruction of complex curvilinear structures
Scientific Reports. 2017. DOI : 10.1038/s41598-017-07537-6.Sparse Gradient Optimization and its Applications in Image Processing
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7913.Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM
Ultramicroscopy. 2017. DOI : 10.1016/j.ultramic.2017.08.010.Miniature hyperspectral systems
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7647.Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
2017. International Conference on Computer Vision (ICCV). p. 3961-3970. DOI : 10.1109/ICCV.2017.425.Three-dimensional electron imaging and reconstruction of dislocations from a single acquisition
2017. Microscopy Conference, Lausanne, Switzerland.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.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.Active Learning and Proofreading for Delineation of Curvilinear Structures
2017. MICCAI, Quebec City, Canada, September 10-14, 2017. p. 165–173. DOI : 10.1007/978-3-319-66185-8_19.Learning Lightprobes for Mixed Reality Illumination
2017. International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, October 9–13, 2017.Multi-Modal Mean-Fields via Cardinality-Based Clamping
2017. Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii, USA, July 21-26, 2017. p. 4303-4312. DOI : 10.1109/Cvpr.2017.458.Vision-based detection of aircrafts and UAVs
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7589.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.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.Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences
Transactions on Medical Imaging (TMI). 2017. DOI : 10.1109/Tmi.2016.2640859.Detecting Flying Objects using a Single Moving Camera
Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2017. DOI : 10.1109/TPAMI.2016.2564408.2016
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.Do We Need Binary Features for 3D Reconstruction?
2016. Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas, NV, June, 2016. p. 1126-1135. DOI : 10.1109/Cvprw.2016.144.Measuring the accuracy of softball impact simulations
Sports Engineering. 2016. DOI : 10.1007/s12283-016-0210-1.Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7241.Robust 3D Object Pose Estimation and Tracking from Monocular Images in Industrial Environments
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7282.Simultaneous segmentation and anatomical labeling of the cerebral vasculature
Medical Image Analysis. 2016. DOI : 10.1016/j.media.2016.03.006.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.Embedding Local Quality Measures in Minutiae-Based Biometric Recognition
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7035.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.Scalable Unsupervised Domain Adaptation for Electron Microscopy
2016. MICCAI 2016, Athens, Greece, October 17-21, 2016. p. 326–334. DOI : 10.1007/978-3-319-46723-8_38.Structured Prediction of 3D Human Pose with Deep Neural Networks
2016. British Machine Vision Conference (BMVC), York, UK, September 19-22, 2016. p. 130.1-130.11. DOI : 10.5244/C.30.130.Parsing human skeletons in an operating room
Machine Vision and Applications. 2016. DOI : 10.1007/s00138-016-0792-4.Towards Scalable Segmentation of 3D Image Stacks
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6937.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. 627–634. DOI : 10.1145/2939672.2939725.Principled Parallel Mean-Field Inference for Discrete Random Fields
2016. p. 5848-5857. DOI : 10.1109/CVPR.2016.630.Learning to Assign Orientations to Feature Points
2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016. p. 107-116. DOI : 10.1109/CVPR.2016.19.Learning to Match Aerial Images with Deep Attentive Architectures
2016. Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, June 27-30, 2016. p. 3539-3547. DOI : 10.1109/CVPR.2016.385.Active Learning for Delineation of Curvilinear Structures
2016. Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, 2016. p. 5231-5239. DOI : 10.1109/CVPR.2016.565.Direct Prediction of 3D Body Poses from Motion Compensated Sequences
2016. Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 26-July 1, 2016. p. 991-1000. DOI : 10.1109/CVPR.2016.113.What Players do with the Ball: A Physically Constrained Interaction Modeling
2016. International Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Jun 26 - Jul 1 2016. p. 972-981. DOI : 10.1109/CVPR.2016.111.Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6891.Automated Reconstruction of Evolving Curvilinear Tree Structures
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6930.Globally Optimal Cell Tracking using Integer Programming
2016Principled Parallel Mean-Field Inference for Discrete Random Fields
2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas. p. 5848-5857. DOI : 10.1109/CVPR.2016.630.Computer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling
Journal of Cell Biology. 2016. DOI : 10.1083/jcb.201506018.Tracking Interacting Objects Using Intertwined Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2513406.Multiscale Centerline Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. DOI : 10.1109/Tpami.2015.2462363.Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming
IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2016. DOI : 10.1109/Tpami.2016.2519025.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
Systems and methods for tracking interacting objects
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Computer Vision And Image Understanding. 2015. DOI : 10.1016/j.cviu.2015.10.011.Kullback-Leibler Proximal Variational Inference
2015. Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, December 9, 2015. p. 3402-3410.Kullback-Leibler Proximal Variational Inference
2015.Joint Acquisition of Color and Near-Infrared Images on a Single Sensor
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6766.Gaze Analysis methods for Learning Analytics
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6696.Discriminative Learning of Deep Convolutional Feature Point Descriptors
2015. International Conference on Computer Vision, Santiago, Chile, December 13-16, 2015. p. 118-126. DOI : 10.1109/ICCV.2015.22.Introducing Geometry in Active Learning for Image Segmentation
2015. international conference in Computer Vision, Santiago, Chile, December 13-16, 2015. p. 2974-2982. DOI : 10.1109/ICCV.2015.340.A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images
2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015. p. 4391–4399. DOI : 10.1109/ICCV.2015.499.Projection onto the Manifold of Elongated Structures for Accurate Extraction
2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015. p. 316-324. DOI : 10.1109/ICCV.2015.44.Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture
2015. International Conference on Computer Vision (ICCV), Santiago, Chile, December 13-16, 2015. p. 2273-2281. DOI : 10.1109/ICCV.2015.262.Realtime Face Tracking and Animation
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6666.Localizing Polygonal Objects in Man-Made Environments
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6622.Live Texturing of Augmented Reality Characters from Colored Drawings
IEEE Transactions on Visualization and Computer Graphics. 2015. DOI : 10.1109/Tvcg.2015.2459871.Tracking Interacting Objects in Image Sequences
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6632.TILDE: A Temporally Invariant Learned DEtector
2015. Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA. p. 5279-5288. DOI : 10.1109/CVPR.2015.7299165.Modeling Brain Circuitry over a Wide Range of Scales
Frontiers in Neuroanatomy. 2015. DOI : 10.3389/fnana.2015.00042.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.Probability Occupancy Maps for Occluded Depth Images
2015. Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, June 7-12, 2015. p. 2829-2837. DOI : 10.1109/CVPR.2015.7298900.Detecting and Tracking Cells using Network Flow Programming
2015On Rendering Synthetic Images for Training an Object Detector
Computer Vision and Image Understanding. 2015. DOI : 10.1016/j.cviu.2014.12.006.Learning Structured Models for Segmentation of 2D and 3D Imagery
IEEE Transactions on Medical Imaging. 2015. DOI : 10.1109/TMI.2014.2376274.Domain Adaptation for Microscopy Imaging
IEEE Transactions on Medical Imaging. 2015. DOI : 10.1109/Tmi.2014.2376872.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.Learning Separable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/Tpami.2014.2343229.Non-Rigid Graph Registration using Active Testing Search
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2015. DOI : 10.1109/TPAMI.2014.2343235.2014
Efficient scanning for em based target localization
WO2014001157 ; US8588509 . 2014.[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.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.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.Dendritic tree extraction from noisy maximum intensity projection images in C-elegans
Biomedical Engineering Online. 2014. DOI : 10.1186/1475-925X-13-74.Learning and Matching Binary Local Feature Descriptors
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6226.Beyond KernelBoost
2014Multiple 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.Free-Shape Polygonal Object Localization
2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sep 6-12, 2014. p. 317-332. DOI : 10.1007/978-3-319-10599-4_21.Tracking Interacting Objects Optimally Using Integer Programming
2014. European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12, 2014. p. 17-32. DOI : 10.1007/978-3-319-10590-1_2.On Rendering Synthetic Images for Training an Object Detector
2014Exploiting 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.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.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. p. 692-699. DOI : 10.1007/978-3-319-10470-6_86.Scalable Probabilistic Models for Face and Speaker Recognition
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6175.Receptive Fields Selection for Binary Feature Description
IEEE Transactions on Image Processing. 2014. DOI : 10.1109/TIP.2014.2317981.Reconstructing Evolving Tree Structures in Time Lapse Sequences
2014. Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 2014. p. 3035-3042. DOI : 10.1109/CVPR.2014.388.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. p. 2697-2704. DOI : 10.1109/CVPR.2014.351.On the Relevance of Sparsity for Image Classification
Computer Vision and Image Understanding. 2014. DOI : 10.1016/j.cviu.2014.03.009.Dense Methods for Image Alignment with an Application to 3D Tracking
2014Real-time landing place assessment in man-made environments
Machine Vision And Applications. 2014. DOI : 10.1007/s00138-013-0560-7.Identity-Preserving Multiple People Tracking
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6035.Caenorhabditis elegant segmentation using texture-based models for motility phenotyping
IEEE Transactions on Biomedical Engineering. 2014. DOI : 10.1109/Tbme.2014.2298612.Better features for image categorization and segmentation
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6031.Object Classification and Detection in High Dimensional Feature Space
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6043.Re-Identification for Improved People Tracking
Person Re-Identification; Springer, 2014. p. 309-330.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.Multi-Commodity Network Flow for Tracking Multiple People
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI : 10.1109/Tpami.2013.210.2013
Separable Filter Learning with Tensor Decomposition
2013Method and apparatus for multiple object tracking with k-shortest paths
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2013TPAMI CVPR Special Section
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013. DOI : 10.1109/TPAMI.2013.208.Tangible Interfaces for Learning
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5931.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.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. p. 1553-1560. DOI : 10.1109/ICCV.2013.196.Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5933.Keypoint Recognition using Random Forests and Random Ferns
Decision Forests for Computer Vision and Medical Image Analysis; Springer, 2013. p. 111-124.Non-Linear Domain Adaptation with Boosting
2013. Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, December 5-8, 2013.Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5836.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. DOI : 10.1007/978-3-642-40811-3_66.Facial Descriptors for Identity-Preserving Multiple People Tracking
2013Incorporating Near-Infrared into Scene Understanding
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5806.Active Testing Search for Point Cloud Matching
2013. International Conference on Information Processing in Medical Imaging (IPMI), Asilomar, California, USA, June 28, 2013. p. 572-583. DOI : 10.1007/978-3-642-38868-2_48.Flash Scanning Electron Microscopy
2013. 16th Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 22-26, 2013.Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People
EP2780871 ; EP2780871 ; WO2013072401 ; WO2013072401 . 2013.Models of Reward-Modulated Spike-Timing-Dependent Plasticity
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5683.Boosting Binary Keypoint Descriptors
2013. Computer Vision and Pattern Recognition (CVPR), Portland, USA. p. 2874-2881. DOI : 10.1109/Cvpr.2013.370.Reconstructing Loopy Curvilinear Structures Using Integer Programming
2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June, 2013. DOI : 10.1109/Cvpr.2013.238.Patch-based methods for variational image processing problems
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5693.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.Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG
2013Fast Object Detection with Entropy-Driven Evaluation
2013. Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 23-28, 2013. p. 3270-3277. DOI : 10.1109/CVPR.2013.420.Learning Separable Filters
2013. Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 25-27, 2013. p. 2754-2761. DOI : 10.1109/Cvpr.2013.355.An Optimal Policy for Target Localization with Application to Electron Microscopy
2013. International Conference on Machine Learning (ICML), Atlanta, GA, USA, June 16-21, 2013. p. 1-9.Multi-camera face detection and recognition applied to people tracking
2013Learning Context Cues for Synapse Segmentation
IEEE Transactions on Medical Imaging. 2013. DOI : 10.1109/Tmi.2013.2267747.Tubular Geodesics using Oriented Flux: An ITK Implementation
Insight Journal. 2013.Selected publications
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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 |
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Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading |
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A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features |
Teaching & PhD
Teaching
Computer Science
Communication Systems
PhD Students
Chen Yihong, Davydov Andrey, Dumery Corentin Camille Marius, Durasov Nikita, 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 , 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.