Publications

For the comprehensive collection of our research papers, see our team's Google Scholar page. Follow the account to be notified of new papers from the team.

  1. 2026

  2. DRIV-EX: Counterfactual Explanations for Driving LLMs
    DRIV-EX: Counterfactual Explanations for Driving LLMs
    Amaia Cardiel, Éloi Zablocki, Elias Ramzi, Eric Gaussier
    ACL Findings 2026
    pdf Code
  3. Driving on Registers
    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
    CVPR 2026
    Project pdf Code
  4. Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
    Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
    Shashanka Venkataramanan, Valentinos Pariza, Mohammadreza Salehi, Lukas Knobel, Spyros Gidaris, Elias Ramzi, Andrei Bursuc, Yuki M. Asano
    CVPR 2026
    pdf Code
  5. Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models
    Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models
    Katarzyna Zaleska, Łukasz Popek, Monika Wysoczańska, Kamil Deja
    CVPR 2026
    pdf Code
  6. 3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
    3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds
    Ryosuke Yamada, Kohsuke Ide, Yoshihiro Fukuhara, Hirokatsu Kataoka, Gilles Puy, Andrei Bursuc, Yuki M. Asano
    CVPR 2026
    Project pdf Code
  7. LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception
    LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception
    Simon de Moreau, Andrei Bursuc, Hafid El-Idrissi, Fabien Moutarde
    CVPR 2026
    Project pdf
  8. MAD: Motion Appearance Decoupling for efficient Driving World Models
    MAD: Motion Appearance Decoupling for efficient Driving World Models
    Ahmad Rahimi, Valentin Gerard, Éloi Zablocki, Matthieu Cord, Alexandre Alahi
    CVPR 2026
    Project pdf Code
  9. NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
    NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
    Loick Chambon, Paul Couairon, Éloi Zablocki, Alexandre Boulch, Nicolas Thome, Matthieu Cord
    CVPR 2026Highlight
    Project pdf Code
  10. OccAny: Generalized Unconstrained Urban 3D Occupancy
  11. PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer
    PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer
    David Picard, Nicolas Dufour, Lucas Degeorge, Arijit Ghosh, Davide Allegro, Tom Ravaud, Yohann Perron, Corentin Sautier, Zeynep Sonat Baltaci, Fei Meng, Syrine Kalleli, Marta López-Rauhut, Thibaut Loiseau, Ségolène Albouy, Raphael Baena, Elliot Vincent, Loic Landrieu
    CVPR Findings 2026
    pdf Code
  12. StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets
  13. PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
    PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
    Yihong Xu, Yuan Yin, Éloi Zablocki, Tuan-Hung Vu, Alexandre Boulch, Matthieu Cord
    ICRA 2026
    pdf Code
  14. R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation
    R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation
    Nicolas Sereyjol-Garros, Ellington Kirby, Victor Besnier, Nermin Samet
    ICRA 2026
    pdf Code
  15. RAP: 3D Rasterization Augmented End-to-End Planning
    RAP: 3D Rasterization Augmented End-to-End Planning
    Lan Feng, Yang Gao, Éloi Zablocki, Quanyi Li, Wuyang Li, Sichao Liu, Matthieu Cord, Alexandre Alahi
    ICLR 2026
    Project pdf Code
  16. Boosting Visual Instruction Tuning with Self-Supervised Guidance
    Boosting Visual Instruction Tuning with Self-Supervised Guidance
    Sophia Sirko-Galouchenko, Monika Wysoczanska, Andrei Bursuc, Nicolas Thome, Spyros Gidaris
    preprint 2026
    pdf Code
  17. Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline
    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
  18. CLIP’s Visual Embedding Projector is a Few-shot Cornucopia
    CLIP’s Visual Embedding Projector is a Few-shot Cornucopia
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    WACV 2026
    pdf Code
  19. LOSC: LiDAR Open-voc Segmentation Consolidator
    LOSC: LiDAR Open-voc Segmentation Consolidator
    Nermin Samet, Gilles Puy, Renaud Marlet
    3DV 2026oral
    pdf
  20. REPA-G: Test-Time Conditioning with Representation-Aligned Visual Features
    REPA-G: Test-Time Conditioning with Representation-Aligned Visual Features
    Nicolas Sereyjol-Garros, Ellington Kirby, Victor Letzelter, Victor Besnier, Nermin Samet
    preprint 2026
    pdf Code
  21. GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
    GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
    Éloi Zablocki*, Valentin Gerard*, Amaia Cardiel, Eric Gaussier, Matthieu Cord, Eduardo Valle
    TMLR 2026Featured Certification
    pdf
  22. IPA: An Information-Preserving Input Projection Framework for Efficient Foundation Model Adaptation
    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

  23. 2025

  24. DINO-Foresight: Looking into the Future with DINO
    DINO-Foresight: Looking into the Future with DINO
    Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    NeurIPS 2025
    pdf Code
  25. JAFAR: Jack up Any Feature at Any Resolution
    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
  26. Learning to Steer: Input-dependent Steering for Multimodal LLMs
    Learning to Steer: Input-dependent Steering for Multimodal LLMs
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
    NeurIPS 2025
    Project pdf Code
  27. Multi-Token Prediction Needs Registers
    Multi-Token Prediction Needs Registers
    Anastasios Gerontopoulos, Spyros Gidaris, and Nikos Komodakis
    NeurIPS 2025
    pdf Code
  28. Boosting Generative Image Modeling via Joint Image-Feature Synthesis
    Boosting Generative Image Modeling via Joint Image-Feature Synthesis
    Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    NeurIPS 2025
    Project pdf Code
  29. LED: Light Enhanced Depth Estimation at Night
    LED: Light Enhanced Depth Estimation at Night
    Simon de Moreau, Yasser Almehio, Andrei Bursuc, Hafid El-Idrissi, Bogdan Stanciulescu, Fabien Moutarde
    BMVC 2025
    Project pdf Code
  30. LOGen: Toward Lidar Object Generation by Point Diffusion
    LOGen: Toward Lidar Object Generation by Point Diffusion
    Ellington Kirby, Mickaël Chen, Renaud Marlet, Nermin Samet
    BMVC 2025
    Project pdf
  31. Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
    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
  32. SuperQuadricOcc: Multi-Layer Gaussian Approximation of Superquadrics for Real-Time Self-Supervised Occupancy Estimation
    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
  33. Tracking-Aware Deformation Field Estimation for Non-rigid 3D Reconstruction in Robotic Surgeries
  34. DIP: Unsupervised Dense In-Context Post-training of Visual Representations
    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
  35. FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
    FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
    Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette
    ICCV 2025
    pdf Code
  36. GaussRender: Learning 3D Occupancy with Gaussian Rendering
    GaussRender: Learning 3D Occupancy with Gaussian Rendering
    Loick Chambon, Éloi Zablocki, Alexandre Boulch, Mickael Chen, Matthieu Cord
    ICCV 2025
    pdf Code
  37. MoSiC: Optimal-Transport Motion Trajectories for Dense Self-Supervised Learning
    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
  38. Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment
    Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment
    Pegah Khayatan*, Mustafa Shukor*, Jayneel Parekh*, Matthieu Cord
    ICCV 2025
    pdf Code
  39. 3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
    3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
    Salma Galaaoui, Eduardo Valle, David Picard, Nermin Samet
    preprint 2025
    pdf Code
  40. VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
    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 pdf Code
  41. Eq-vae: Equivariance regularized latent space for improved generative image modeling
    Eq-vae: Equivariance regularized latent space for improved generative image modeling
    Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    ICML 2025
    Project pdf Code
  42. Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
    Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
    Adrien Cortés*, Rémi Rehm, and Victor Letzelter*
    ICML 2025
    pdf Code
  43. Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
    Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
    Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis
    CVPR 2025
    pdf Code
  44. LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
    LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
    Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet, Raoul de Charette
    IV 2025oral
    Project pdf Code
  45. Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting
  46. Test-Time Contrastive Concepts for Open-World Semantic Segmentation
    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
  47. Annealed Winner-Takes-All for Motion Forecasting
    Annealed Winner-Takes-All for Motion Forecasting
    Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    ICRA 2025
    pdf Code Video
  48. Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
    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
  49. LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
    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
  50. Halton Scheduler For Masked Generative Image Transformer
    Halton Scheduler For Masked Generative Image Transformer
    Victor Besnier, Mickael Chen, David Hurych, Eduardo Valle and Matthieu Cord
    ICLR 2025
    pdf Code
  51. ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge
    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 pdf Code
  52. MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
    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
  53. UNIT: unsupervised Online Instance Segmentation through Time
    UNIT: unsupervised Online Instance Segmentation through Time
    Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit
    3DV 2025
    pdf Code

  54. 2024

  55. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
    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
  56. A Concept-Based Explainability Framework for Large Multimodal Models
    A Concept-Based Explainability Framework for Large Multimodal Models
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord
    NeurIPS 2024
    Project pdf Code
  57. DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
    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 pdf Code
  58. No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
    No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
    Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
    NeurIPS 2024
    pdf Code
  59. GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
    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
  60. Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
  61. ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
    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
  62. The BRAVO Semantic Segmentation Challenge Results in UNCV2024
    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
  63. Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
    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
  64. CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
    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
  65. Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
    ECCV 2024
    pdf Code
  66. Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
    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 pdf Code
  67. UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
    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
  68. Valeo4Cast: A Modular Approach to End-to-End Forecasting
    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
  69. PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
    PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
    Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
    ECCV Workshop 2024
    pdf Code
  70. ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
    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
  71. Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression
  72. Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
    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
  73. Winner-takes-all learners are geometry-aware conditional density estimators
    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
  74. Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
    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
  75. Don’t drop your samples! Coherence-aware training benefits Conditional diffusion
    Don’t drop your samples! Coherence-aware training benefits Conditional diffusion
    Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
    CVPR 2024highlight
    Project pdf Code
  76. A Simple Recipe for Language-guided Domain Generalized Segmentation
    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
  77. NOPE: Novel Object Pose Estimation from a Single Image
    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 pdf Code
  78. OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
    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
  79. PointBeV: A Sparse Approach to BeV Predictions
    PointBeV: A Sparse Approach to BeV Predictions
    Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord
    CVPR 2024
    pdf Code
  80. Three Pillars improving Vision Foundation Model Distillation for Lidar
    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
  81. Supervised Anomaly Detection for Complex Industrial Images
    Supervised Anomaly Detection for Complex Industrial Images
    Aimira Baitieva, David Hurych, Victor Besnier and Olivier Bernard
    CVPR 2024
    pdf Code
  82. SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
    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
  83. What Makes Multimodal In-Context Learning Work?
    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
  84. Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
    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
  85. BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
    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
  86. SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
    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 pdf Code Slides
  87. CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
    Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński, Oriane Siméoni
    WACV 2024
    pdf Code
  88. Learning to Generate Training Datasets for Robust Semantic Segmentation
    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

  89. 2023

  90. POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
    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
  91. Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
    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
  92. DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
    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
  93. PØDA: Prompt-driven Zero-shot Domain Adaptation
    PØDA: Prompt-driven Zero-shot Domain Adaptation
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    ICCV 2023
    pdf Code
  94. You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
    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
  95. Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
    Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    ICCV 2023
    pdf Code
  96. Butterfly factorization by algorithmic identification of rank-one blocks
    Butterfly factorization by algorithmic identification of rank-one blocks
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    GRETSI 2023
    pdf
  97. ALSO: Automotive Lidar Self-supervision by Occupancy estimation
    ALSO: Automotive Lidar Self-supervision by Occupancy estimation
    Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet
    CVPR 2023
    pdf Code
  98. Unsupervised Object Localization: Observing the Background to Discover Objects
    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
  99. OCTET: Object-aware Counterfactual Explanations
    OCTET: Object-aware Counterfactual Explanations
    Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
    CVPR 2023
    pdf Code Video
  100. RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
    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
  101. Efficient identification of butterfly sparse matrix factorizations
    Efficient identification of butterfly sparse matrix factorizations
    Léon Zheng, Elisa Riccietti, Rémi Gribonval
    SIAM Journal on Mathematics of Data Science 2023
    pdf Code
  102. Packed Ensembles for efficient uncertainty estimation
    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
  103. Self-supervised learning with rotation-invariant kernels
    Self-supervised learning with rotation-invariant kernels
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    ICLR 2023
    pdf Code
  104. Cross-task Attention Mechanism for Dense Multi-task Learning
    Cross-task Attention Mechanism for Dense Multi-task Learning
    Ivan Lopes , Tuan-Hung Vu and Raoul de Charette
    WACV 2023
    pdf Code

  105. 2022

  106. LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
    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
  107. LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
    LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
    Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari
    CVIU 2022
    pdf Code
  108. What to Hide from Your Students: Attention-Guided Masked Image Modeling
    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
  109. Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
    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
  110. HULC: 3D HUman Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
    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 pdf
  111. Latent Discriminant deterministic Uncertainty
    Latent Discriminant deterministic Uncertainty
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and David Filliat
    ECCV 2022
    pdf Code
  112. STEEX: Steering Counterfactual Explanations with Semantics
    STEEX: Steering Counterfactual Explanations with Semantics
    Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
    ECCV 2022
    pdf Code Video
  113. Active Learning Strategies for Weakly-Supervised Object Detection
    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
  114. Deep Surface Reconstruction from Point Clouds with Visibility Information
    Deep Surface Reconstruction from Point Clouds with Visibility Information
    Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet and Bruno Vallet
    ICPR 2022
    pdf Code
  115. VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds
    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
  116. Explainability of deep vision-based autonomous driving systems: Review and challenges
    Explainability of deep vision-based autonomous driving systems: Review and challenges
    Éloi Zablocki*, Hédi Ben-Younes*, Patrick Pérez, Matthieu Cord
    IJCV 2022
    pdf
  117. Raising context awareness in motion forecasting
    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
  118. CSG0: Continual Urban Scene Generation with Zero Forgetting
    CSG0: Continual Urban Scene Generation with Zero Forgetting
    Himalaya Jain (*), Tuan-Hung Vu (*), Patrick Pérez and Matthieu Cord (* equal contrib.)
    CVPRW 2022
    pdf
  119. Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
    Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
    Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
    ICPR 2022
    pdf Code
  120. Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
    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
  121. POCO: Point Convolution for Surface Reconstruction
    POCO: Point Convolution for Surface Reconstruction
    Alexandre Boulch and Renaud Marlet
    CVPR 2022
    pdf Code
  122. Raw High-Definition Radar for Multi-Task Learning
    Raw High-Definition Radar for Multi-Task Learning
    Julien Rebut, Arthur Ouaknine, Waqas Malik, and Patrick Pérez
    CVPR 2022
    pdf Code
  123. Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
    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
  124. Spherical perspective on learning with normalization layers
    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
  125. Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
  126. Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
    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
  127. Driving behavior explanation with multi-level fusion
    Driving behavior explanation with multi-level fusion
    Hédi Ben-Younes*, Éloi Zablocki*, Patrick Pérez, Matthieu Cord
    Pattern Recognition 2022
    pdf Code

  128. 2021

  129. Robust Semantic Segmentation with Superpixel-Mix
    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
  130. Handling new target classes in semantic segmentation with domain adaptation
    Handling new target classes in semantic segmentation with domain adaptation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    CVIU 2021
    pdf
  131. Large-Scale Unsupervised Object Discovery
    Large-Scale Unsupervised Object Discovery
    Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez and Jean Ponce
    NeurIPS 2021
    pdf Code
  132. Localizing Objects with Self-Supervised Transformers and no Labels
    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
  133. Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
    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
  134. NeeDrop: Unsupervised Shape Representation from Sparse Point Clouds using Needle Dropping
    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
  135. PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
  136. Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
  137. Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
    Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Tuan-Hung Vu, Matthieu Cord and Patrick Pérez
    ICCV 2021
    pdf Code
  138. Multi-View Radar Semantic Segmentation
    Multi-View Radar Semantic Segmentation
    Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin and Julien Rebut
    ICCV 2021
    Project pdf Code
  139. PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
    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
  140. StyleLess layer: Improving robustness for real-world driving
    StyleLess layer: Improving robustness for real-world driving
    Julien Rebut, Andrei Bursuc, and Patrick Pérez
    IROS 2021
    pdf
  141. Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
    Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
    Raphael Sulzer, Loic Landrieu, Renaud Marlet, Bruno Vallet
    CGF 2021
    pdf Code
  142. 3D Reconstruction by Parameterized Surface Mapping
    3D Reconstruction by Parameterized Surface Mapping
    Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir Kim, Alexandre Boulch, Renaud Marlet, Bryan Russell
    ICIP 2021
    pdf
  143. Confidence Estimation via Auxiliary Models
    Confidence Estimation via Auxiliary Models
    Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    TPAMI 2021
    pdf Code
  144. Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
    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
  145. Semantic Palette: Guiding Scene Generation with Class Proportions
    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
  146. Artificial Dummies for Urban Dataset Augmentation
    Artificial Dummies for Urban Dataset Augmentation
    Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, and Josef Šivic
    AAAI 2021
    pdf Code

  147. 2020

  148. STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
    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
  149. CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
    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 pdf Code
  150. FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
    FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
    Alexandre Boulch, Gilles Puy, and Renaud Marlet
    ACCV 2020
    pdf Code
  151. PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving
    PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving
    Thibault Buhet, Emilie Wirbel, Andrei Bursuc and Xavier Perrotton
    CoRL 2020
    pdf
  152. Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
    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
  153. FLOT: Scene Flow on Point Clouds guided by Optimal Transport
    FLOT: Scene Flow on Point Clouds guided by Optimal Transport
    Gilles Puy, Alexandre Boulch, and Renaud Marlet
    ECCV 2020
    pdf Code
  154. QuEST: Quantized Embedding Space for Transferring Knowledge
    QuEST: Quantized Embedding Space for Transferring Knowledge
    Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    ECCV 2020
    pdf
  155. Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections
  156. TRADI: Tracking deep neural network weight distributions for uncertainty estimation
    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
  157. Learning Representations by Predicting Bags of Visual Words
    Learning Representations by Predicting Bags of Visual Words
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    CVPR 2020
    pdf Code
  158. End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
  159. ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
    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
  160. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
    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
  161. This dataset does not exist: training models from generated images
    This dataset does not exist: training models from generated images
    Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, and Patrick Pérez
    ICASSP 2020
    pdf
  162. ConvPoint: Continuous Convolutions for Point Cloud Processing
  163. VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
    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

  164. 2019

  165. Addressing Failure Prediction by Learning Model Confidence
    Addressing Failure Prediction by Learning Model Confidence
    Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, and Patrick Pérez
    NeurIPS 2019
    pdf Code
  166. Zero-Shot Semantic Segmentation
    Zero-Shot Semantic Segmentation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    NeurIPS 2019
    pdf Code
  167. Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
  168. Boosting Few-Shot Visual Learning With Self-Supervision
    Boosting Few-Shot Visual Learning With Self-Supervision
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    ICCV 2019
    pdf Code
  169. DADA: Depth-aware Domain Adaptation in Semantic Segmentation
    DADA: Depth-aware Domain Adaptation in Semantic Segmentation
    Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez
    ICCV 2019
    pdf Code
  170. WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
    WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
    Senthil Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez
    ICCV 2019oral
    pdf Code
  171. AdvEnt: Adversarial Entropy minimization for domain adaptation in semantic segmentation
    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
  172. Unsupervised Image Matching and Object Discovery as Optimization
    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