Pascal Fua

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 286

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

ICCV

Publications

Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes. Trans. Mach. Learn. Res. 2024 (2024)
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
Detecting Road Obstacles by Erasing Them. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Yingxue Yu, Vidit Vidit, Andrey Davydov, Martin Engilberge, Pascal Fua
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment. CoRR (2024)
Jakub Gwizdala, Doruk Öner, Soumava Kumar Roy, Mian Akbar Shah, Ad Eberhard, Ivan Egorov, Philipp Krüsi, Grigory Yakushev, Pascal Fua
Vision-Based Power Line Cables and Pylons Detection for Low Flying Aircraft. CoRR (2024)
Sina Honari, Chen Zhao, Mathieu Salzmann, Pascal Fua
Unsupervised 3D Keypoint Discovery with Multi-View Geometry. 3DV (2024)
Sihan Shang, Jiancheng Yang, Zhenglong Sun, Pascal Fua
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection. CoRR (2024)
Soumava Kumar Roy, Ilia Badanin, Sina Honari, Pascal Fua
Occlusion Resilient 3D Human Pose Estimation. 3DV (2024)
Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. CoRR (2024)
Soumava Kumar Roy, Ilia Badanin, Sina Honari, Pascal Fua
Occlusion Resilient 3D Human Pose Estimation. CoRR (2024)
Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua
Enabling Uncertainty Estimation in Iterative Neural Networks. CoRR (2024)
Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes. CoRR (2024)
Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference. Trans. Mach. Learn. Res. 2024 (2024)
Hantao Zhang, Jiancheng Yang, Shouhong Wan, Pascal Fua
LeFusion: Synthesizing Myocardial Pathology on Cardiac MRI via Lesion-Focus Diffusion Models. CoRR (2024)
Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua
Neural Surface Detection for Unsigned Distance Fields. CoRR (2024)
Guoxing Sun, Rishabh Dabral, Pascal Fua, Christian Theobalt, Marc Habermann
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering. CoRR (2024)
Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua
CLOAF: CoLlisiOn-Aware Human Flow. CoRR (2024)
Ren Li, Corentin Dumery, Zhantao Deng, Pascal Fua
Reconstruction of Manipulated Garment with Guided Deformation Prior. CoRR (2024)
Victor M. Batlle, José M. M. Montiel, Pascal Fua, Juan D. Tardós
LightNeuS: Neural Surface Reconstruction in Endoscopy Using Illumination Decline. MICCAI (10) (2023)
Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Ren Li, Benoît Guillard, Pascal Fua
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns. NeurIPS (2023)
Ren Li, Corentin Dumery, Benoît Guillard, Pascal Fua
Garment Recovery with Shape and Deformation Priors. CoRR (2023)
Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua
Overcoming the Domain Gap in Neural Action Representations. Int. J. Comput. Vis. 131 (3) (2023)
Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum 42 (2) (2023)
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
Perspective Aware Road Obstacle Detection. IEEE Robotics Autom. Lett. 8 (4) (2023)
Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua
Two-level Data Augmentation for Calibrated Multi-view Detection. WACV (2023)
Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera
LightDepth: Single-View Depth Self-Supervision from Illumination Decline. CoRR (2023)
Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua
Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks. CoRR (2023)
Martin Engilberge, Weizhe Liu, Pascal Fua
Multi-view Tracking Using Weakly Supervised Human Motion Prediction. WACV (2023)
Ren Li, Benoît Guillard, Pascal Fua
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns. CoRR (2023)
Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls
GECCO: Geometrically-Conditioned Point Diffusion Models. ICCV (2023)
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
DrapeNet: Garment Generation and Self-Supervised Draping. CVPR (2023)
Zhen Wei, Pascal Fua, Michael Bauerheim
Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning. CoRR (2023)
Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua
Persistent Homology With Improved Locality Information for More Effective Delineation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Hieu Le, Nicolas Talabot, Jiancheng Yang, Pascal Fua
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling. CoRR (2023)
Oscar León Barbed, José M. M. Montiel, Pascal Fua, Ana C. Murillo
Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy. MICCAI (1) (2023)
Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera
LightDepth: Single-View Depth Self-Supervision from Illumination Decline. ICCV (2023)
Victor M. Batlle, José M. M. Montiel, Pascal Fua, Juan D. Tardós
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline. CoRR (2023)
Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls
GECCO: Geometrically-Conditioned Point Diffusion Models. CoRR (2023)
Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
Learning to Align Sequential Actions in the Wild. CVPR (2022)
Patrick M. Jensen, Udaranga Wickramasinghe, Anders B. Dahl, Pascal Fua, Vedrana Andersen Dahl
Deep Active Latent Surfaces for Medical Geometries. CoRR (2022)
Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation. 3DV (2022)
Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua
Adversarial Parametric Pose Prior. CVPR (2022)
Sina Honari, Pascal Fua
Unsupervised 3D Keypoint Estimation with Multi-View Geometry. CoRR (2022)
Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. CoRR (2022)
Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua
Long Term Motion Prediction Using Keyposes. 3DV (2022)
Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
3D Pose Based Feedback for Physical Exercises. ACCV (4) (2022)
Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua
DIG: Draping Implicit Garment over the Human Body. ACCV (1) (2022)
Yinlin Hu, Pascal Fua, Mathieu Salzmann
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR (2022)
Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua
DIG: Draping Implicit Garment over the Human Body. CoRR (2022)
Yinlin Hu, Pascal Fua, Mathieu Salzmann
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) (2022)
Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Nathan C. Dadap, Alexandra Georges Konings, Pascal Fua
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Weizhe Liu, Nikita Durasov, Pascal Fua
Leveraging Self-Supervision for Cross-Domain Crowd Counting. CVPR (2022)
Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. MICCAI (4) (2022)
Doruk Öner, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate. IEEE Trans. Medical Imaging 41 (12) (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. CoRR (2022)
Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. 3DV (2022)
Weizhe Liu, Mathieu Salzmann, Pascal Fua
Counting People by Estimating People Flows. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. IROS (2022)
Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua
Enforcing connectivity of 3D linear structures using their 2D projections. CoRR (2022)
Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua
Two-level Data Augmentation for Calibrated Multi-view Detection. CoRR (2022)
Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. CoRR (2022)
Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
3D Pose Based Feedback for Physical Exercises. CoRR (2022)
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR (2022)
Soumava Kumar Roy, Leonardo Citraro, Sina Honari, Pascal Fua
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation. CoRR (2022)
Nikita Durasov, Nik Dorndorf, Pascal Fua
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings. CoRR (2022)
Benoît Guillard, Federico Stella, Pascal Fua
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. ECCV (3) (2022)
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
Perspective Aware Road Obstacle Detection. CoRR (2022)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Jiancheng Yang, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. CVPR (2022)
Martin Engilberge, Weizhe Liu, Pascal Fua
Multi-view Tracking Using Weakly Supervised Human Motion Prediction. CoRR (2022)
Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
Self-Supervised Human Detection and Segmentation via Background Inpainting. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann
AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. CoRR (2022)
Udaranga Wickramasinghe, Patrick M. Jensen, Mian Shah, Jiancheng Yang, Pascal Fua
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. MICCAI (5) (2022)
Nikita Durasov, Nik Dorndorf, Pascal Fua
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference. CoRR (2022)
Doruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua
Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections. MICCAI (5) (2022)
Udaranga Wickramasinghe, Pascal Fua, Graham Knott
Deep Active Surface Models. CVPR (2021)
Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua
Dyadic Human Motion Prediction. CoRR (2021)
Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua
Overcoming the Domain Gap in Neural Action Representations. CoRR (2021)
Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
Masksembles for Uncertainty Estimation. CVPR (2021)
Udaranga Wickramasinghe, Pascal Fua
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. CoRR (2021)
Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao
Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. CoRR (2021)
David Honzátko, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar, Pascal Fua
Defect segmentation for multi-illumination quality control systems. Mach. Vis. Appl. 32 (6) (2021)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Robust Differentiable SVD. CoRR (2021)
Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua
DEBOSH: Deep Bayesian Shape Optimization. CoRR (2021)
Weizhe Liu, Nikita Durasov, Pascal Fua
Leveraging Self-Supervision for Cross-Domain Crowd Counting. CoRR (2021)
Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. CoRR (2021)
Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua
Adversarial Parametric Pose Prior. CoRR (2021)
Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua
HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation. CoRR (2021)
Okan Altingövde, Anastasiia Mishchuk, Gulnaz Ganeeva, Emad Oveisi, Cecile Hebert, Pascal Fua
3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks. CoRR (2021)
Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
Human Detection and Segmentation via Multi-view Consensus. ICCV (2021)
Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. ICCV (2021)
Benoît Guillard, Federico Stella, Pascal Fua
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks. CoRR (2021)
Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
DeepMesh: Differentiable Iso-Surface Extraction. CoRR (2021)
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. CoRR (2021)
Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
Learning to Align Sequential Actions in the Wild. CoRR (2021)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
David Honzátko, Engin Türetken, Pascal Fua, L. Andrea Dunbar
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo. 3DV (2021)
Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann
Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR (2021)

Pascal Fua.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pascal Fua