All publications

For the comprehensive collection of our research papers, please refer to our team’s Google Scholar page.
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Selected publications

  1. Annealed Winner-Takes-All for Motion Forecasting
    Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    under review, 2025
    pdf Code
  2. Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    under review, 2025
    pdf Code
  3. Test-Time Contrastive Concepts for Open-World Semantic Segmentation
    Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzciński, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
    under review, 2025
    pdf
  4. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
    David Perera*, Victor Letzelter*, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
    Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024
    pdf
  5. ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
    Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
    Advances in Neural Information Processing Systems (NeurIPS), 2024
    pdf
  6. The BRAVO Semantic Segmentation Challenge Results in UNCV2024
    Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomáš Vojíř, Jan Šochman, Jiří Matas, Michael Smith, Frank Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool
    European Conference on Computer Vision, 2024
    pdf Code
  7. Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
    Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes
    European Conference on Computer Vision, 2024
    pdf Code
  8. 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
    European Conference on Computer Vision, 2024
    pdf Code
  9. Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
    European Conference on Computer Vision, 2024
    pdf Code
  10. LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models
    Amaia Cardiel, Éloi Zablocki, Oriane Siméoni, Elias Ramzi, Matthieu Cord
    ECCV Workshop Emergent Visual Abilities and Limits of Foundation Models (EVAL-FoMo), 2024
    pdf
  11. Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
    Bjoern Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
    European Conference on Computer Vision, 2024
    Project page pdf Code
  12. UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
    Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi
    European Conference on Computer Vision, 2024
    pdf Code
  13. PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
    Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
    ECCV Workshop Towards a Complete Analysis of People Fine-grained Understanding for Real-World Applications (T-CAP), 2024
    pdf Code
  14. ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
    Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord
    ECCV Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving (W-CODA), 2024
    pdf Code
  15. Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression
    Jinglei Shi, Yihong Xu, Christine Guillemot
    IEEE Transactions on Image Processing, 2024
    pdf
  16. Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
    Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez
    International Journal of Computer Vision, 2024
    pdf Code
  17. Winner-takes-all learners are geometry-aware conditional density estimators
    Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
    International Conference On Machine Learning (ICML), 2024
    pdf Code
  18. Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
    Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
    Computer Vision and Pattern Recognition, 2024
    pdf
  19. Don’t drop your samples! Coherence-aware training benefits Conditional diffusion
    Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
    Computer Vision and Pattern Recognition, 2024
    Project page pdf Code
  20. A Simple Recipe for Language-guided Domain Generalized Segmentation
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    Computer Vision and Pattern Recognition, 2024
    pdf Code
  21. NOPE: Novel Object Pose Estimation from a Single Image
    Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit
    Computer Vision and Pattern Recognition, 2024
    Project page pdf Code
  22. OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
    Sophia Sirko-Galouchenko, Alexandre Boulch, Spyros Gidaris, Andrei Bursuc, Antonin Vobecky, Patrick Pérez, Renaud Marlet
    CVPR Workshop on Autonomous Driving (WAD), 2024
    pdf Code
  23. PointBeV: A Sparse Approach to BeV Predictions
    Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord
    Computer Vision and Pattern Recognition, 2024
    pdf Code
  24. 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
    Computer Vision and Pattern Recognition, 2024
    pdf Code
  25. Supervised Anomaly Detection for Complex Industrial Images
    Aimira Baitieva, David Hurych, Victor Besnier and Olivier Bernard
    Computer Vision and Pattern Recognition, 2024
    pdf Code
  26. SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
    Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, and Nikos Komodakis
    Computer Vision and Pattern Recognition, 2024
    pdf Code
  27. Valeo4Cast: A Modular Approach to End-to-End Forecasting
    Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickael Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord
    Winning solution to the "Unified Detection, Tracking and Forecasting" Argoverse 2 challenge @CVPR Worshop on Autonomous Driving (WAD), 2024
    pdf
  28. What Makes Multimodal In-Context Learning Work?
    Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski
    CVPR 2024 Workshop on Prompting in Vision, 2024
    pdf Code
  29. Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
    Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez
    IEEE International Conference on Robotics and Automation (ICRA), 2024
    pdf Code
  30. BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
    International Conference on 3D Vision (3DV), 2024
    pdf Code
  31. MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
    Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Nikos Komodakis, Matthieu Cord, Patrick Pérez
    Transactions on Machine Learning Research (TMLR), 2024
    pdf
  32. SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
    Bjoern Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet and Nicolas Courty
    International Conference on 3D Vision (3DV), 2024
    Project page pdf Code Slides
  33. UNIT: unsupervised Online Instance Segmentation through Time
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
    arXiv, 2024
    pdf Code
  34. CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński, Oriane Siméoni
    Winter Conference on Applications of Computer Vision (WACV), 2024
    pdf Code
  35. Learning to Generate Training Datasets for Robust Semantic Segmentation
    Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
    Winter Conference on Applications of Computer Vision (WACV), 2024
    pdf
  36. POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
    Antonin Vobecky, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    pdf Code
  37. Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
    Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, and Gaël Richard
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    pdf Code Slides
  38. DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
    Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
    International Conference on Computer Vision (ICCV) Workshop, 2023
    pdf Code
  39. PØDA: Prompt-driven Zero-shot Domain Adaptation
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    International Conference on Computer Vision (ICCV), 2023
    pdf Code
  40. You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
    Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, and Vincent Lepetit
    International Conference on Computer Vision (ICCV), 2023
    pdf Code
  41. Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    International Conference on Computer Vision (ICCV), 2023
    pdf Code
  42. Butterfly factorization by algorithmic identification of rank-one blocks
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    Colloque Francophone de Traitement du Signal et des Images, 2023
    pdf
  43. ALSO: Automotive Lidar Self-supervision by Occupancy estimation
    Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
    Computer Vision and Pattern Recognition, 2023
    pdf Code
  44. Unsupervised Object Localization: Observing the Background to Discover Objects
    Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonin Vobecky, Éloi Zablocki, Patrick Pérez
    Computer Vision and Pattern Recognition, 2023
    pdf Code
  45. OCTET: Object-aware Counterfactual Explanations
    Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
    Computer Vision and Pattern Recognition, 2023
    pdf Code
  46. RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
    Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, and Renaud Marlet
    Computer Vision and Pattern Recognition, 2023
    pdf Code
  47. Efficient identification of butterfly sparse matrix factorizations
    Léon Zheng, Elisa Riccietti, Rémi Gribonval
    SIAM Journal on Mathematics of Data Science, 2023
    pdf Code
  48. Packed Ensembles for efficient uncertainty estimation
    Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, and Gianni Franchi
    International Conference on Learning Representations (ICLR), 2023
    pdf Code
  49. Self-supervised learning with rotation-invariant kernels
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    International Conference on Learning Representations (ICLR), 2023
    pdf Code
  50. Cross-task Attention Mechanism for Dense Multi-task Learning
    Ivan Lopes , Tuan-Hung Vu and Raoul de Charette
    IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
    pdf Code
  51. LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
    Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari
    Conference on Robot Learning, 2022
    pdf Code
  52. LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
    Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari
    Computer Vision and Image Understanding (CVIU), 2022
    pdf Code
  53. Multi-Modal 3D GAN for Urban Scenes
    Loïck Chambon, Mickaël Chen, Tuan-Hung Vu, Alexandre Boulch, Andrei Bursuc, Matthieu Cord, Patrick Pérez
    NeurIPS Machine Learning for Autonomous Driving Workshop, 2022
    pdf Slides
  54. What to Hide from Your Students: Attention-Guided Masked Image Modeling
    Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, and Nikos Komodakis
    European Conference on Computer Vision (ECCV), 2022
    pdf Code
  55. Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
    Antonin Vobecky, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
    European Conference on Computer Vision (ECCV), 2022oral
    pdf Code
  56. 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
    European Conference on Computer Vision, 2022
    Project page pdf
  57. Latent Discriminant deterministic Uncertainty
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and David Filliat
    European Conference on Computer Vision (ECCV), 2022
    pdf Code
  58. STEEX: Steering Counterfactual Explanations with Semantics
    Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
    European Conference on Computer Vision, 2022
    pdf Code
  59. Active Learning Strategies for Weakly-Supervised Object Detection
    Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, and Jean Ponce
    European Conference on Computer Vision (ECCV), 2022
    pdf Code
  60. Explainability of deep vision-based autonomous driving systems: Review and challenges
    Éloi Zablocki*, Hédi Ben-Younes*, Patrick Pérez, Matthieu Cord
    International Journal of Computer Vision, 2022
    pdf
  61. Raising context awareness in motion forecasting
    Hédi Ben-Younes*, Éloi Zablocki*, Mickaël Chen, Patrick Pérez, Matthieu Cord
    Computer Vision and Pattern Recognition Workshop, 2022
    pdf Code
  62. CSG0: Continual Urban Scene Generation with Zero Forgetting
    Himalaya Jain (*), Tuan-Hung Vu (*), Patrick Pérez and Matthieu Cord (* equal contrib.)
    Computer Vision and Pattern Recognition Workshop, 2022
    pdf
  63. Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
    Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
    International Conference on Pattern Recognition, 2022
    pdf Code
  64. Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez and Matthieu Cord
    Computer Vision and Pattern Recognition Workshop, 2022
    pdf Code
  65. POCO: Point Convolution for Surface Reconstruction
    Alexandre Boulch and Renaud Marlet
    Computer Vision and Pattern Recognition, 2022
    pdf Code
  66. Raw High-Definition Radar for Multi-Task Learning
    Julien Rebut, Arthur Ouaknine, Waqas Malik, and Patrick Pérez
    Computer Vision and Pattern Recognition, 2022
    pdf Code
  67. Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
    Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet
    Computer Vision and Pattern Recognition, 2022
    pdf Code
  68. Spherical perspective on learning with normalization layers
    Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
    Neurocomputing, 2022
    pdf Code
  70. Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
    Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, and Patrick Pérez
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
    pdf Code
  71. Driving behavior explanation with multi-level fusion
    Hédi Ben-Younes*, Éloi Zablocki*, Patrick Pérez, Matthieu Cord
    Pattern Recognition (PR), 2022
    pdf Code
  72. Robust Semantic Segmentation with Superpixel-Mix
    Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
    British Machine Vision Conference (BMVC), 2021
    pdf Code
  73. Handling new target classes in semantic segmentation with domain adaptation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    Computer Vision and Image Understanding (CVIU), 2021
    pdf
  74. Large-Scale Unsupervised Object Discovery
    Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez and Jean Ponce
    Advances in Neural Information Processing Systems (NeurIPS), 2021
    pdf Code
  75. Localizing Objects with Self-Supervised Transformers and no Labels
    Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce
    British Machine Vision Conference (BMVC), 2021
    pdf Code
  76. Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
    Bjoern Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, and Renaud Marlet
    International Conference on 3D Vision (3DV), 2021
    pdf Code Slides
  77. NeeDrop: Unsupervised Shape Representation from Sparse Point Clouds using Needle Dropping
    Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, and Renaud Marlet
    International Conference on 3D Vision (3DV), 2021
    pdf Code
  78. PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
    Yang Xiao, Yuming Du, Renaud Marlet
    International Conference on 3D Vision (3DV), 2021oral
    Project page pdf Code
  79. Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
    Victor Besnier, Andrei Bursuc, Alexandre Briot, and David Picard
    International Conference on Computer Vision (ICCV), 2021
    pdf Code
  80. Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Tuan-Hung Vu, Matthieu Cord and Patrick Pérez
    International Conference on Computer Vision (ICCV), 2021
    pdf Code
  81. Multi-View Radar Semantic Segmentation
    Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin and Julien Rebut
    International Conference on Computer Vision (ICCV), 2021
    Project page pdf Code
  82. PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
    Anh-Quan Cao, Gilles Puy, Alexandre Boulch, and Renaud Marlet
    International Conference on Computer Vision (ICCV), 2021
    pdf Code
  83. StyleLess layer: Improving robustness for real-world driving
    Julien Rebut, Andrei Bursuc, and Patrick Pérez
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
    pdf
  84. Confidence Estimation via Auxiliary Models
    Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
    pdf Code
  85. Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
    Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    Computer Vision and Pattern Recognition, 2021
    pdf Code
  86. Semantic Palette: Guiding Scene Generation with Class Proportions
    Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez and Matthieu Cord
    Computer Vision and Pattern Recognition, 2021
    pdf Code
  87. Artificial Dummies for Urban Dataset Augmentation
    Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, and Josef Šivic
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    pdf Code
  88. STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
    Pierre Godet, Alexandre Boulch, Aurelien Plyer and Guy Le Besnerais
    International Conference on Pattern Recognition (ICPR), 2020
    pdf Code
  89. CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
    Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin and Patrick Pérez
    International Conference on Pattern Recognition (ICPR), 2020
    Project page pdf Code
  90. FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
    Alexandre Boulch, Gilles Puy, and Renaud Marlet
    Asian Conference on Computer Vision (ACCV), 2020
    pdf Code
  91. PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving
    Thibault Buhet, Emilie Wirbel, Andrei Bursuc and Xavier Perrotton
    Conference on Robot Learning (CoRL), 2020
    pdf
  92. Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
    Isabelle Leang, Ganesh Sistu, Fabian Burger, Andrei Bursuc, and Senthil Yogamani
    IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020
    pdf
  93. FLOT: Scene Flow on Point Clouds guided by Optimal Transport
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    European Conference on Computer Vision (ECCV), 2020
    pdf Code
  94. QuEST: Quantized Embedding Space for Transferring Knowledge
    Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    European Conference on Computer Vision (ECCV), 2020
    pdf
  95. Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections
    Huy V. Vo, Patrick Pérez and Jean Ponce
    European Conference on Computer Vision (ECCV), 2020
    pdf Code
  96. TRADI: Tracking deep neural network weight distributions for uncertainty estimation
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and Isabelle Bloch
    European Conference on Computer Vision (ECCV), 2020
    pdf Code
  97. Learning Representations by Predicting Bags of Visual Words
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    Computer Vision and Pattern Recognition, 2020
    pdf Code
  98. End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
    Marin Toromanoff, Emilie Wirbel, and Fabien Moutarde
    Computer Vision and Pattern Recognition, 2020
    pdf Code
  99. ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Tuan-Hung Vu, Matthieu Cord and Patrick Pérez
    Computer Vision and Pattern Recognition Workshop on Scalability in Autonomous Driving, 2020
    pdf Code
  100. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
    Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, and Patrick Pérez
    Computer Vision and Pattern Recognition, 2020
    pdf Code
  101. This dataset does not exist: training models from generated images
    Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, and Patrick Pérez
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
    pdf
  102. ConvPoint: Continuous Convolutions for Point Cloud Processing
    Alexandre Boulch
    Computers & Graphics Journal, 2020
    pdf Code Slides
  103. VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
    Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Emilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perotton
    Electronic Imaging, 2020
    pdf
  104. Addressing Failure Prediction by Learning Model Confidence
    Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, and Patrick Pérez
    Neural Information Processing Systems (NeurIPS), 2019
    pdf Code
  105. Zero-Shot Semantic Segmentation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    Neural Information Processing Systems (NeurIPS), 2019
    pdf Code
  107. Boosting Few-Shot Visual Learning With Self-Supervision
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    International Conference on Computer Vision (ICCV), 2019
    pdf Code
  108. DADA: Depth-aware Domain Adaptation in Semantic Segmentation
    Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez
    International Conference on Computer Vision (ICCV), 2019
    pdf Code
  109. AdvEnt: Adversarial Entropy minimization for domain adaptation in semantic segmentation
    Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez
    Computer Vision and Pattern Recognition, 2019oral
    pdf Code
  110. Unsupervised Image Matching and Object Discovery as Optimization
    Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann Lecun, Patrick Pérez and Jean Ponce
    Computer Vision and Pattern Recognition, 2019
    pdf Code