Perez, Patrick

82 publications

ICLR 2025 ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Perez, Mohamed Elhoseiny

CVPR 2024 A Simple Recipe for Language-Guided Domain Generalized Segmentation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette

ECCV 2024 CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation Monika Wysoczańska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzciński, Patrick Pérez

TMLR 2024 MOCA: Self-Supervised Representation Learning by Predicting Masked Online Codebook Assignments Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Perez

NeurIPS 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle

NeurIPSW 2024 ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Perez, Eduardo Valle

CVPRW 2024 OccFeat: Self-Supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet

CVPR 2024 PointBeV: A Sparse Approach for BeV Predictions Loick Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord

ECCV 2024 Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord

CVPR 2024 Three Pillars Improving Vision Foundation Model Distillation for LiDAR Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet

ICML 2024 Winner-Takes-All Learners Are Geometry-Aware Conditional Density Estimators Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Perez

ICCVW 2023 DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez

CVPR 2023 OCTET: Object-Aware Counterfactual Explanations Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

ICCV 2023 PODA: Prompt-Driven Zero-Shot Domain Adaptation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette

NeurIPS 2023 POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images Antonin Vobecky, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic

NeurIPS 2023 Resilient Multiple Choice Learning: A Learned Scoring Scheme with Application to Audio Scene Analysis Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard

ICLR 2023 Self-Supervised Learning with Rotation-Invariant Kernels Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Perez, Rémi Gribonval

CVPR 2023 Unsupervised Object Localization: Observing the Background to Discover Objects Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez

ECCV 2022 Active Learning Strategies for Weakly-Supervised Object Detection Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce

CVPRW 2022 CSG0: Continual Urban Scene Generation with Zero Forgetting Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord

ECCV 2022 Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic

ECCV 2022 HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt

CoRL 2022 LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Perez, Matthieu Cord, Karteek Alahari

CVPRW 2022 Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord

CVPRW 2022 Raising Context Awareness in Motion Forecasting Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord

CVPR 2022 Raw High-Definition Radar for Multi-Task Learning Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez

ECCV 2022 STEEX: Steering Counterfactual Explanations with Semantics Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord

AAAI 2021 Artificial Dummies for Urban Dataset Augmentation Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic

NeurIPS 2021 Large-Scale Unsupervised Object Discovery Van Huy Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce

ICCV 2021 Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

ICCV 2021 Multi-View Radar Semantic Segmentation Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut

CVPR 2021 OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Perez

CVPR 2021 Semantic Palette: Guiding Scene Generation with Class Proportions Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Perez, Matthieu Cord

ECCV 2020 QuEST: Quantized Embedding Space for Transferring Knowledge Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord

AAAI 2020 The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network Arnaud Dapogny, Matthieu Cord, Patrick Pérez

ECCV 2020 Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections Huy V. Vo, Patrick Pérez, Jean Ponce

NeurIPS 2019 Addressing Failure Prediction by Learning Model Confidence Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez

NeurIPS 2019 Zero-Shot Semantic Segmentation Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

CVPRW 2018 Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

CVPR 2017 Kernel Square-Loss Exemplar Machines for Image Retrieval Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis Bach, Patrick Perez

ICCV 2017 MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction Ayush Tewari, Michael Zollhofer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Perez, Christian Theobalt

CVPR 2017 ROAM: A Rich Object Appearance Model with Application to Rotoscoping Ondrej Miksik, Juan-Manuel Perez-Rua, Philip H. S. Torr, Patrick Perez

ICCV 2017 SUBIC: A Supervised, Structured Binary Code for Image Search Himalaya Jain, Joaquin Zepeda, Patrick Perez, Remi Gribonval

ECCV 2016 Approximate Search with Quantized Sparse Representations Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou

CVPR 2016 Determining Occlusions from Space and Time Image Reconstructions Juan-Manuel Perez-Rua, Tomas Crivelli, Patrick Bouthemy, Patrick Perez

ECCV 2016 SPLeaP: Soft Pooling of Learned Parts for Image Classification Praveen Kulkarni, Frédéric Jurie, Joaquin Zepeda, Patrick Pérez, Louis Chevallier

CVPR 2015 Exemplar SVMs as Visual Feature Encoders Joaquin Zepeda, Patrick Perez

CVPRW 2015 Latent Max-Margin Metric Learning for Comparing Video Face Tubes Gaurav Sharma, Patrick Pérez

ICCVW 2015 Pose and Expression-Coherent Face Recovery in the Wild Xavier P. Burgos-Artizzu, Joaquin Zepeda, François Le Clerc, Patrick Pérez

ECCVW 2014 Accurate Disparity Estimation for Plenoptic Images Neus Sabater, Mozhdeh Seifi, Valter Drazic, Gustavo L. Sandri, Patrick Pérez

CVPR 2014 Automatic Face Reenactment Pablo Garrido, Levi Valgaerts, Ole Rehmsen, Thorsten Thormahlen, Patrick Perez, Christian Theobalt

ECCVW 2014 Some Faces Are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-Scale Identity-Based Face Retrieval Binod Bhattarai, Gaurav Sharma, Frédéric Jurie, Patrick Pérez

ICCV 2013 Multi-View Object Segmentation in Space and Time Abdelaziz Djelouah, Jean-Sebastien Franco, Edmond Boyer, Francois Le Clerc, Patrick Perez

ECCV 2012 N-Tuple Color Segmentation for Multi-View Silhouette Extraction Abdelaziz Djelouah, Jean-Sébastien Franco, Edmond Boyer, François Le Clerc, Patrick Pérez

CVPR 2011 Reconstructing an Image from Its Local Descriptors Philippe Weinzaepfel, Hervé Jégou, Patrick Pérez

CVPR 2010 Aggregating Local Descriptors into a Compact Image Representation Hervé Jégou, Matthijs Douze, Cordelia Schmid, Patrick Pérez

ECCV 2010 Compact Video Description for Copy Detection with Precise Temporal Alignment Matthijs Douze, Hervé Jégou, Cordelia Schmid, Patrick Pérez

ECCV 2008 Cross-View Action Recognition from Temporal Self-Similarities Imran N. Junejo, Emilie Dexter, Ivan Laptev, Patrick Pérez

ECCV 2008 Semi-Automatic Motion Segmentation with Motion Layer Mosaics Matthieu Fradet, Patrick Pérez, Philippe Robert

CVPR 2007 Detection and Segmentation of Moving Objects in Highly Dynamic Scenes Aurélie Bugeau, Patrick Pérez

ICCV 2007 Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues Vijay Badrinarayanan, Patrick Pérez, François Le Clerc, Lionel Oisel

ICCV 2007 Retrieving Actions in Movies Ivan Laptev, Patrick Pérez

ECCV 2006 Bayesian Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions Patrick Pérez, Jaco Vermaak

ICCV 2005 Periodic Motion Detection and Segmentation via Approximate Sequence Alignment Ivan Laptev, Serge J. Belongie, Patrick Pérez, Josh Wills

ECCV 2004 Interactive Image Segmentation Using an Adaptive GMMRF Model Andrew Blake, Carsten Rother, Matthew A. Brown, Patrick Pérez, Philip H. S. Torr

CVPR 2004 Slightly Supervised Learning of Part-Based Appearance Models Lexing Xie, Patrick Pérez

CVPRW 2004 Slightly Supervised Learning of Part-Based Appearance Models Lexing Xie, Patrick Pérez

CVPR 2003 Constrained Subspace Modelling Jaco Vermaak, Patrick Pérez

ICCV 2003 Maintaining Multi-Modality Through Mixture Tracking Jaco Vermaak, Arnaud Doucet, Patrick Pérez

CVPR 2003 Object Removal by Exemplar-Based Inpainting Antonio Criminisi, Patrick Pérez, Kentaro Toyama

CVPR 2003 Variational Inference for Visual Tracking Jaco Vermaak, Neil D. Lawrence, Patrick Pérez

ECCV 2002 Color-Based Probabilistic Tracking Patrick Pérez, Carine Hue, Jaco Vermaak, Michel Gangnet

ECCV 2002 Dense Motion Analysis in Fluid Imagery Thomas Corpetti, Étienne Mémin, Patrick Pérez

ECCV 2002 Towards Improved Observation Models for Visual Tracking: Selective Adaptation Jaco Vermaak, Patrick Pérez, Michel Gangnet, Andrew Blake

ICCV 2001 JetStream: Probabilistic Contour Extraction with Particles Patrick Pérez, Andrew Blake, Michel Gangnet

ICCV 2001 Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking Jaco Vermaak, Michel Gangnet, Andrew Blake, Patrick Pérez

CVPR 2000 An Energy-Based Framework for Dense 3D Registration of Volumetric Brain Images Pierre Hellier, Christian Barillot, Étienne Mémin, Patrick Pérez

ICCV 1999 Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields Étienne Mémin, Patrick Pérez

ICCV 1999 Unsupervised Image Classification with a Hierarchical EM Algorithm Annabelle Chardin, Patrick Pérez

ICCV 1998 A Multigrid Approach for Hierarchical Motion Estimation Étienne Mémin, Patrick Pérez

ECCV 1998 Joint Estimation-Segmentation of Optic Flow Étienne Mémin, Patrick Pérez

ICCV 1995 Hierarchical Statistical Models for the Fusion of Multiresolution Image Data Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre