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. Driving on Registers
    Ellington Kirby, Alexandre Boulch, Yihong Xu, Yuan Yin, Gilles Puy, Éloi Zablocki, Andrei Bursuc, Spyros Gidaris, Renaud Marlet, Florent Bartoccioni, Anh-Quan Cao, Nermin Samet, Tuan-Hung VU, Matthieu Cord
    preprint, 2026
    Project page pdf Code
  2. Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
    3DV, 2026
    pdf Code
  3. LOSC: LiDAR Open-voc Segmentation Consolidator
    Nermin Samet, Gilles Puy, Renaud Marlet
    3DV, 2026oral
    pdf
  4. IPA: An Information-Preserving Input Projection Framework for Efficient Foundation Model Adaptation
    Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord
    NeurIPS'25 CCFM Workshop and TMLR, 2026outstanding paper award
    pdf
  5. DINO-Foresight: Looking into the Future with DINO
    Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    NeurIPS, 2025
    pdf Code
  6. JAFAR: Jack up Any Feature at Any Resolution
    Paul Couairon*, Loick Chambon*, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
    NeurIPS, 2025
    pdf Code
  7. Learning to Steer: Input-dependent Steering for Multimodal LLMs
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
    NeurIPS, 2025
    Project page pdf Code
  8. Multi-Token Prediction Needs Registers
    Anastasios Gerontopoulos, Spyros Gidaris, and Nikos Komodakis
    NeurIPS, 2025
    pdf Code
  9. Boosting Generative Image Modeling via Joint Image-Feature Synthesis
    Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    NeurIPS, 2025
    Project page pdf Code
  10. LED: Light Enhanced Depth Estimation at Night
    Simon de Moreau, Yasser Almehio, Andrei Bursuc, Hafid El-Idrissi, Bogdan Stanciulescu, Fabien Moutarde
    BMVC, 2025
    Project page pdf Code
  11. LOGen: Toward Lidar Object Generation by Point Diffusion
    Ellington Kirby, Mickaël Chen, Renaud Marlet, Nermin Samet
    BMVC, 2025
    Project page pdf
  12. Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
    Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
    BMVC, 2025
    pdf Code
  13. SuperQuadricOcc: Multi-Layer Gaussian Approximation of Superquadrics for Real-Time Self-Supervised Occupancy Estimation
    Seamie Hayes, Reenu Mohandas, Tim Brophy, Alexandre Boulch, Ganesh Sistu, Ciaran Eising
    preprint, 2025
    pdf Code
  15. DIP: Unsupervised Dense In-Context Post-training of Visual Representations
    Sophia Sirko-Galouchenko, Antonin Vobecky, Andrei Bursuc, Nicolas Thome, Spyros Gidaris
    ICCV, 2025
    pdf Code
  16. FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
    Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette
    ICCV, 2025
    pdf Code
  17. GaussRender: Learning 3D Occupancy with Gaussian Rendering
    Loick Chambon, Eloi Zablocki, Alexandre Boulch, Mickael Chen, Matthieu Cord
    ICCV, 2025
    pdf Code
  18. MoSiC: Optimal-Transport Motion Trajectories for Dense Self-Supervised Learning
    Mohammadreza Salehi*, Shashanka Venkataramanan*, Ioana Simion, Efstratios Gavves, Cees G. M. Snoek, Yuki M Asano (* equal contribution)
    ICCV, 2025
    pdf Code
  19. RAP: 3D Rasterization Augmented End-to-End Planning
    Lan Feng, Yang Gao, Éloi Zablocki, Quanyi Li, Wuyang Li, Sichao Liu, Matthieu Cord, Alexandre Alahi
    preprint, 2025
    Project page pdf Code
  20. Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment
    Pegah Khayatan*, Mustafa Shukor*, Jayneel Parekh*, Matthieu Cord
    ICCV, 2025
    pdf Code
  21. 3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
    Salma Galaaoui, Eduardo Valle, David Picard, Nermin Samet
    preprint, 2025
    pdf Code
  22. PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
    Yihong Xu, Yuan Yin, Éloi Zablocki, Tuan-Hung Vu, Alexandre Boulch, Matthieu Cord
    CoRL Robot Data Workshop, 2025
    pdf Code
  23. VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
    Florent Bartoccioni, Elias Ramzi, Victor Besnier, Shashanka Venkataramanan, Tuan-Hung Vu, Yihong Xu, Loick Chambon, Spyros Gidaris, Serkan Odabas, David Hurych, Renaud Marlet, Alexandre Boulch, Mickael Chen, Éloi Zablocki, Andrei Bursuc, Eduardo Valle, Matthieu Cord
    CoRL Workshop, 2025
    Project page pdf Code
  24. Eq-vae: Equivariance regularized latent space for improved generative image modeling
    Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    ICML, 2025
    Project page pdf Code
  25. Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
    Adrien Cortés*, Rémi Rehm, and Victor Letzelter*
    ICML, 2025
    pdf Code
  26. Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
    Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    CVPR, 2025
    pdf Code
  27. LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
    Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet, Raoul de Charette
    IV, 2025oral
    Project page pdf Code
  29. Test-Time Contrastive Concepts for Open-World Semantic Segmentation
    Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzciński, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
    TMLR, 2025
    pdf
  30. Annealed Winner-Takes-All for Motion Forecasting
    Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    ICRA, 2025
    pdf Code Video
  31. Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
    Lise Le Boudec, Emmanuel de Bezenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari
    ICLR, 2025
    pdf Code
  32. LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
    Amaia Cardiel, Éloi Zablocki, Elias Ramzi, Oriane Siméoni, Matthieu Cord
    ICLR, 2025
    pdf Code
  33. Halton Scheduler For Masked Generative Image Transformer
    Victor Besnier, Mickael Chen, David Hurych, Eduardo Valle and Matthieu Cord
    ICLR, 2025
    pdf Code
  34. 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
  35. ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge
    Eslam Abdelrahman, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Perez, Mohamed Elhoseiny
    ICLR, 2025
    Project page pdf Code
  36. MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
    Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Nikos Komodakis, Matthieu Cord, Patrick Pérez
    TMLR 2024 and ICLR, 2025
    pdf Code
  37. UNIT: unsupervised Online Instance Segmentation through Time
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
    3DV, 2025
    pdf Code
  38. GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
    Éloi Zablocki*, Valentin Gerard*, Amaia Cardiel, Eric Gaussier, Matthieu Cord, Eduardo Valle
    under review, 2025
    pdf
  39. 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
    NeurIPS, 2024
    pdf Code
  40. A Concept-Based Explainability Framework for Large Multimodal Models
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord
    NeurIPS, 2024
    Project page pdf Code
  41. DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
    Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
    NeurIPS, 2024
    Project page pdf Code
  42. No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
    Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
    NeurIPS, 2024
    pdf Code
  43. GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
    Armand Kassaï Koupaï, Jorge Mifsut-Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
    NeurIPS, 2024
    pdf Code
  45. ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
    Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
    NeurIPS, 2024
    pdf Code
  46. 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
    ECCV, 2024
    pdf Code
  47. Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
    Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes
    ECCV, 2024
    pdf Code
  48. 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
    ECCV, 2024
    pdf Code
  49. Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
    ECCV, 2024
    pdf Code
  50. 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
    ECCV, 2024
    Project page pdf Code
  51. UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
    Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi
    ECCV, 2024
    pdf Code
  52. 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
    ECCV Workshop ROAD++, 2024Winning solution to the "Unified Detection, Tracking and Forecasting" Argoverse 2 challenge @CVPR
    pdf Code Video
  53. PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
    Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
    ECCV Workshop, 2024
    pdf Code
  54. ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
    Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord
    ECCV Workshop W-CODA, 2024
    pdf Code
  56. Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
    Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez
    IJCV, 2024
    pdf Code
  57. Winner-takes-all learners are geometry-aware conditional density estimators
    Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
    ICML, 2024
    pdf Code
  58. 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
    CVPR, 2024
    pdf
  59. Don’t drop your samples! Coherence-aware training benefits Conditional diffusion
    Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
    CVPR, 2024highlight
    Project page pdf Code
  60. A Simple Recipe for Language-guided Domain Generalized Segmentation
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    CVPR, 2024
    pdf Code
  61. NOPE: Novel Object Pose Estimation from a Single Image
    Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit
    CVPR, 2024
    Project page pdf Code
  62. 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 WAD, 2024
    pdf Code
  63. PointBeV: A Sparse Approach to BeV Predictions
    Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord
    CVPR, 2024
    pdf Code
  64. 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
    CVPR, 2024
    pdf Code
  65. Supervised Anomaly Detection for Complex Industrial Images
    Aimira Baitieva, David Hurych, Victor Besnier and Olivier Bernard
    CVPR, 2024
    pdf Code
  66. SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
    Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, and Nikos Komodakis
    CVPR, 2024highlight
    pdf Code
  67. What Makes Multimodal In-Context Learning Work?
    Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski
    CVPR Workshop on Prompting in Vision, 2024
    pdf Code
  68. 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
    ICRA, 2024
    pdf Code
  69. BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
    3DV, 2024
    pdf Code
  70. SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
    Bjoern Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet and Nicolas Courty
    3DV, 2024
    Project page pdf Code Slides
  71. CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński, Oriane Siméoni
    WACV, 2024
    pdf Code
  72. Learning to Generate Training Datasets for Robust Semantic Segmentation
    Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
    WACV, 2024
    pdf
  73. POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
    Antonin Vobecky, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
    NeurIPS, 2023
    pdf Code
  74. 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
    NeurIPS, 2023
    pdf Code Slides
  75. DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
    Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
    ICCV, 2023
    pdf Code
  76. PØDA: Prompt-driven Zero-shot Domain Adaptation
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    ICCV, 2023
    pdf Code
  77. 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
    ICCV, 2023
    pdf Code
  78. Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    ICCV, 2023
    pdf Code
  79. Butterfly factorization by algorithmic identification of rank-one blocks
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    GRETSI, 2023
    pdf
  80. ALSO: Automotive Lidar Self-supervision by Occupancy estimation
    Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
    CVPR, 2023
    pdf Code
  81. Unsupervised Object Localization: Observing the Background to Discover Objects
    Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonin Vobecky, Éloi Zablocki, Patrick Pérez
    CVPR, 2023
    pdf Code Video
  82. OCTET: Object-aware Counterfactual Explanations
    Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
    CVPR, 2023
    pdf Code Video
  83. RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
    Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, and Renaud Marlet
    CVPR, 2023
    pdf Code
  84. Efficient identification of butterfly sparse matrix factorizations
    Léon Zheng, Elisa Riccietti, Rémi Gribonval
    SIAM Journal on Mathematics of Data Science, 2023
    pdf Code
  85. Packed Ensembles for efficient uncertainty estimation
    Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, and Gianni Franchi
    ICLR, 2023
    pdf Code
  86. Self-supervised learning with rotation-invariant kernels
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    ICLR, 2023
    pdf Code
  87. Cross-task Attention Mechanism for Dense Multi-task Learning
    Ivan Lopes , Tuan-Hung Vu and Raoul de Charette
    WACV, 2023
    pdf Code
  88. 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
    CoRL, 2022
    pdf Code
  89. LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
    Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari
    CVIU, 2022
    pdf Code
  90. Multi-Modal 3D GAN for Urban Scenes
    Loïck Chambon, Mickaël Chen, Tuan-Hung Vu, Alexandre Boulch, Andrei Bursuc, Matthieu Cord, Patrick Pérez
    NeurIPS ML4AD Workshop, 2022
    pdf Slides
  91. 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
    ECCV, 2022
    pdf Code
  92. 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
    ECCV, 2022oral
    pdf Code
  93. 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
    ECCV, 2022
    Project page pdf
  94. Latent Discriminant deterministic Uncertainty
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and David Filliat
    ECCV, 2022
    pdf Code
  95. STEEX: Steering Counterfactual Explanations with Semantics
    Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
    ECCV, 2022
    pdf Code Video
  96. Active Learning Strategies for Weakly-Supervised Object Detection
    Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, and Jean Ponce
    ECCV, 2022
    pdf Code
  97. Deep Surface Reconstruction from Point Clouds with Visibility Information
    Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet and Bruno Vallet
    ICPR, 2022
    pdf Code
  98. VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds
    Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, Renaud Marlet
    ICPR, 2022
    pdf Code
  99. Explainability of deep vision-based autonomous driving systems: Review and challenges
    Éloi Zablocki*, Hédi Ben-Younes*, Patrick Pérez, Matthieu Cord
    IJCV, 2022
    pdf
  100. Raising context awareness in motion forecasting
    Hédi Ben-Younes*, Éloi Zablocki*, Mickaël Chen, Patrick Pérez, Matthieu Cord
    CVPR Workshop on Autonomous Driving (WAD), 2022
    pdf Code
  101. CSG0: Continual Urban Scene Generation with Zero Forgetting
    Himalaya Jain (*), Tuan-Hung Vu (*), Patrick Pérez and Matthieu Cord (* equal contrib.)
    CVPRW, 2022
    pdf
  102. Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
    Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
    ICPR, 2022
    pdf Code
  103. Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez and Matthieu Cord
    CVPRW, 2022
    pdf Code
  104. POCO: Point Convolution for Surface Reconstruction
    Alexandre Boulch and Renaud Marlet
    CVPR, 2022
    pdf Code
  105. Raw High-Definition Radar for Multi-Task Learning
    Julien Rebut, Arthur Ouaknine, Waqas Malik, and Patrick Pérez
    CVPR, 2022
    pdf Code
  106. Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
    Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet
    CVPR, 2022
    pdf Code
  107. 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
  109. Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
    Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, and Patrick Pérez
    T-PAMI, 2022
    pdf Code
  110. Driving behavior explanation with multi-level fusion
    Hédi Ben-Younes*, Éloi Zablocki*, Patrick Pérez, Matthieu Cord
    Pattern Recognition, 2022
    pdf Code
  111. Robust Semantic Segmentation with Superpixel-Mix
    Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
    BMVC, 2021
    pdf Code
  112. Handling new target classes in semantic segmentation with domain adaptation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    CVIU, 2021
    pdf
  113. Large-Scale Unsupervised Object Discovery
    Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez and Jean Ponce
    NeurIPS, 2021
    pdf Code
  114. 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
    BMVC, 2021
    pdf Code
  115. Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
    Bjoern Michele, Alexandre Boulch, Gilles Puy, Maxime Bucher, and Renaud Marlet
    3DV, 2021
    pdf Code Slides
  116. NeeDrop: Unsupervised Shape Representation from Sparse Point Clouds using Needle Dropping
    Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, and Renaud Marlet
    3DV, 2021
    pdf Code
  119. Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Tuan-Hung Vu, Matthieu Cord and Patrick Pérez
    ICCV, 2021
    pdf Code
  120. Multi-View Radar Semantic Segmentation
    Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin and Julien Rebut
    ICCV, 2021
    Project page pdf Code
  121. PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
    Anh-Quan Cao, Gilles Puy, Alexandre Boulch, and Renaud Marlet
    ICCV, 2021
    pdf Code
  122. StyleLess layer: Improving robustness for real-world driving
    Julien Rebut, Andrei Bursuc, and Patrick Pérez
    IROS, 2021
    pdf
  123. Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
    Raphael Sulzer, Loic Landrieu, Renaud Marlet, Bruno Vallet
    CGF, 2021
    pdf Code
  124. 3D Reconstruction by Parameterized Surface Mapping
    Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir Kim, Alexandre Boulch, Renaud Marlet, Bryan Russell
    ICIP, 2021
    pdf
  125. Confidence Estimation via Auxiliary Models
    Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    TPAMI, 2021
    pdf Code
  126. Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
    Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    CVPR, 2021
    pdf Code
  127. Semantic Palette: Guiding Scene Generation with Class Proportions
    Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez and Matthieu Cord
    CVPR, 2021
    pdf Code
  128. Artificial Dummies for Urban Dataset Augmentation
    Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, and Josef Šivic
    AAAI, 2021
    pdf Code
  129. STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
    Pierre Godet, Alexandre Boulch, Aurelien Plyer and Guy Le Besnerais
    ICPR, 2020
    pdf Code
  130. CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
    Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin and Patrick Pérez
    ICPR, 2020
    Project page pdf Code
  131. FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
    Alexandre Boulch, Gilles Puy, and Renaud Marlet
    ACCV, 2020
    pdf Code
  132. PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving
    Thibault Buhet, Emilie Wirbel, Andrei Bursuc and Xavier Perrotton
    CoRL, 2020
    pdf
  133. Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
    Isabelle Leang, Ganesh Sistu, Fabian Burger, Andrei Bursuc, and Senthil Yogamani
    ITSC, 2020
    pdf
  134. FLOT: Scene Flow on Point Clouds guided by Optimal Transport
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    ECCV, 2020
    pdf Code
  135. QuEST: Quantized Embedding Space for Transferring Knowledge
    Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    ECCV, 2020
    pdf
  137. TRADI: Tracking deep neural network weight distributions for uncertainty estimation
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and Isabelle Bloch
    ECCV, 2020
    pdf Code
  138. Learning Representations by Predicting Bags of Visual Words
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    CVPR, 2020
    pdf Code
  139. End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
    Marin Toromanoff, Emilie Wirbel, and Fabien Moutarde
    CVPR, 2020
    pdf Code
  140. ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Tuan-Hung Vu, Matthieu Cord and Patrick Pérez
    CVPRW, 2020
    pdf Code
  141. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
    Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, and Patrick Pérez
    CVPR, 2020
    pdf Code
  142. This dataset does not exist: training models from generated images
    Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, and Patrick Pérez
    ICASSP, 2020
    pdf
  144. 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
  145. Addressing Failure Prediction by Learning Model Confidence
    Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, and Patrick Pérez
    NeurIPS, 2019
    pdf Code
  146. Zero-Shot Semantic Segmentation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    NeurIPS, 2019
    pdf Code
  148. Boosting Few-Shot Visual Learning With Self-Supervision
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    ICCV, 2019
    pdf Code
  149. DADA: Depth-aware Domain Adaptation in Semantic Segmentation
    Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez
    ICCV, 2019
    pdf Code
  150. AdvEnt: Adversarial Entropy minimization for domain adaptation in semantic segmentation
    Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez
    CVPR, 2019oral
    pdf Code
  151. Unsupervised Image Matching and Object Discovery as Optimization
    Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann Lecun, Patrick Pérez and Jean Ponce
    CVPR, 2019
    pdf Code