Patrick Pérez

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 220

Top Venues

Publications

Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
Winner-takes-all learners are geometry-aware conditional density estimators. CoRR (2024)
Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonín Vobecký, Patrick Pérez, Renaud Marlet
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. CoRR (2024)
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? ICRA (2024)
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. 2024 (2024)
David Kalmuk, Christian Garcia-Arellano, Ronald Barber, Richard Sidle, Kostas Rakopoulos, Hamdi Roumani, William Minor, Alexander Cheung, Robert C. Hooper, Matthew Emmerton, Zach Hoggard, Scott Walkty, Patrick Pérez, Aleksandrs Santars, Michael Chen, Matthew Olan, Daniel C. Zilio, Imran Sayyid, Humphrey Li, Ketan Rampurkar, Krishna K. Ramachandran, Yiren Shen
Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture. SIGMOD Conference Companion (2024)
Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR (2024)
Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. IROS (2023)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR (2023)
Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
OCTET: Object-aware Counterfactual Explanations. CVPR (2023)
Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. CoRR (2023)
Antonin Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS (2023)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV (2023)
Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez
Unsupervised Object Localization: Observing the Background to Discover Objects. CVPR (2023)
Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey. CoRR (2023)
Soshi Shimada, Vladislav Golyanik, Patrick Pérez, Christian Theobalt
Decaf: Monocular Deformation Capture for Face and Hand Interactions. ACM Trans. Graph. 42 (6) (2023)
Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. CoRR (2023)
Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord
PointBeV: A Sparse Approach to BeV Predictions. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) (2023)
Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency. CoRR (2023)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR (2023)
Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi
Manipulating Trajectory Prediction with Backdoors. CoRR (2023)
Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. Comput. Vis. Image Underst. 227 (2023)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Self-supervised learning with rotation-invariant kernels. ICLR (2023)
Soshi Shimada, Vladislav Golyanik, Patrick Pérez, Christian Theobalt
Decaf: Monocular Deformation Capture for Face and Hand Interactions. CoRR (2023)
Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. CoRR (2023)
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. CoRR (2023)
Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving. CoRR (2023)
Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR (2023)
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. NeurIPS (2023)
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. CoRR (2023)
Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR (2023)
Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR (2023)
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR (2023)
Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data. IEEE Robotics Autom. Lett. 8 (2) (2023)
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez
Unsupervised Object Localization: Observing the Background to Discover Objects. CoRR (2022)
Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL (2022)
Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) (2022)
Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord
Driving behavior explanation with multi-level fusion. Pattern Recognit. 123 (2022)
Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
OCTET: Object-aware Counterfactual Explanations. CoRR (2022)
Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. ECCV (38) (2022)
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance. ECCV (22) (2022)
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord
Raising context awareness in motion forecasting. CVPR Workshops (2022)
Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges. Int. J. Comput. Vis. 130 (10) (2022)
Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR (2022)
Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation. CoRR (2022)
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
Active Learning Strategies for Weakly-supervised Object Detection. CoRR (2022)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR (2022)
Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance. CoRR (2022)
Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez
Raw High-Definition Radar for Multi-Task Learning. CVPR (2022)
Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints. ICPR (2022)
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR (2022)
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Spherical perspective on learning with normalization layers. Neurocomputing 487 (2022)
Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
Teachers in concordance for pseudo-labeling of 3D sequential data. CoRR (2022)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Self-supervised learning with rotation-invariant kernels. CoRR (2022)
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops (2022)
Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR (2022)
B. Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez
Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops (2022)
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
Active Learning Strategies for Weakly-Supervised Object Detection. ECCV (30) (2022)
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, Christian Theobalt
Neural monocular 3D human motion capture with physical awareness. ACM Trans. Graph. 40 (4) (2021)
Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez
Raw High-Definition Radar for Multi-Task Learning. CoRR (2021)
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
Large-Scale Unsupervised Object Discovery. NeurIPS (2021)
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
Large-Scale Unsupervised Object Discovery. CoRR (2021)
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord
Raising context awareness in motion forecasting. CoRR (2021)
Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut
Multi-View Radar Semantic Segmentation. ICCV (2021)
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
CSG0: Continual Urban Scene Generation with Zero Forgetting. CoRR (2021)
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, Christian Theobalt
Neural Monocular 3D Human Motion Capture with Physical Awareness. CoRR (2021)
Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord
Semantic Palette: Guiding Scene Generation with Class Proportions. CoRR (2021)
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV (2021)
Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic
Artificial Dummies for Urban Dataset Augmentation. AAAI (2021)
Éloi Zablocki, Hedi Ben-Younes, Patrick Pérez, Matthieu Cord
Explainability of vision-based autonomous driving systems: Review and challenges. CoRR (2021)
Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. CoRR (2021)
Julien Rebut, Andrei Bursuc, Patrick Pérez
StyleLess layer: Improving robustness for real-world driving. IROS (2021)
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation. CoRR (2021)
Paul Jacob, Éloi Zablocki, Hedi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
STEEX: Steering Counterfactual Explanations with Semantics. CoRR (2021)
Julien Rebut, Andrei Bursuc, Patrick Pérez
StyleLess layer: Improving robustness for real-world driving. CoRR (2021)
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
Localizing Objects with Self-Supervised Transformers and no Labels. CoRR (2021)
Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR (2021)
Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut
Multi-View Radar Semantic Segmentation. CoRR (2021)
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Handling new target classes in semantic segmentation with domain adaptation. Comput. Vis. Image Underst. 212 (2021)
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. CoRR (2021)
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
Localizing Objects with Self-supervised Transformers and no Labels. BMVC (2021)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR (2021)
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. CVPR (2020)
Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations. CoRR (2020)
Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez
This Dataset Does Not Exist: Training Models from Generated Images. ICASSP (2020)
Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic
Artificial Dummies for Urban Dataset Augmentation. CoRR (2020)
Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) (2020)
Ayush Tewari, Mohamed Elgharib, Mallikarjun B. R., Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
PIE: Portrait Image Embedding for Semantic Control. CoRR (2020)
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Spherical Perspective on Learning with Batch Norm. CoRR (2020)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR (2020)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Learning Representations by Predicting Bags of Visual Words. CVPR (2020)
Xu Yao, Gilles Puy, Patrick Pérez
Photo style transfer with consistency losses. CoRR (2020)
Juan-Manuel Pérez-Rúa, Ondrej Miksik, Tomás Crivelli, Patrick Bouthemy, Philip H. S. Torr, Patrick Pérez
ROAM: A Rich Object Appearance Model with Application to Rotoscoping. IEEE Trans. Pattern Anal. Mach. Intell. 42 (8) (2020)
Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez
CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations. ICPR (2020)
Hedi Ben-Younes, Eloi Zablocki, Patrick Pérez, Matthieu Cord
Driving Behavior Explanation with Multi-level Fusion. CoRR (2020)

Patrick Pérez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Patrick Pérez