Selected publications
2023
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
2022
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
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
Latent Discriminant deterministic Uncertainty
Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and David Filliat
European Conference on Computer Vision (ECCV), 2022
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
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
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
Raising context awareness in motion forecasting
Hédi Ben-Younes*, Éloi Zablocki*, Mickaël Chen, Patrick Pérez, Matthieu Cord
Computer Vision and Pattern Recognition (CVPR) Workshop, 2022
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 (CVPR) Workshop, 2022
POCO: Point Convolution for Surface Reconstruction
Alexandre Boulch and Renaud Marlet
Computer Vision and Pattern Recognition (CVPR), 2022
Raw High-Definition Radar for Multi-Task Learning
Julien Rebut, Arthur Ouaknine, Waqas Malik, and Patrick Pérez
Computer Vision and Pattern Recognition (CVPR), 2022
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 (CVPR) Workshop, 2022
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 (CVPR), 2022
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
International Conference on Pattern Recognition, 2022
Spherical perspective on learning with normalization layers
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
Neurocomputing, 2022
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
Kevin Osanlou, Jeremy Frank, J. Benton, Andrei Bursuc, Christophe Guettier, Tristan Cazenave and Eric Jacopin
AAAI Conference on Artificial Intelligence (AAAI), 2022
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
Driving behavior explanation with multi-level fusion
Hédi Ben-Younes*, Éloi Zablocki*, Patrick Pérez, Matthieu Cord
Pattern Recognition (PR), 2022
2021
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
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
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
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
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
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
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
Multi-View Radar Semantic Segmentation
Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin and Julien Rebut
International Conference on Computer Vision (ICCV), 2021
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
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
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
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 (CVPR), 2021
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
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 (CVPR), 2021
Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, and Josef Šivic
AAAI Conference on Artificial Intelligence (AAAI), 2021
2020
FKAConv: Feature-Kernel Alignment for Point Cloud Convolutiont
Alexandre Boulch, Gilles Puy, and Renaud Marlet
Asian Conference on Computer Vision (ACCV), 2020
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
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
PLOP: Probabilistic poLynomial Objects trajectory Prediction for autonomous driving
Thibault Buhet, Emilie Wirbel, Andrei Bursuc and Xavier Perrotton
Conference on Robot Learning (CoRL), 2020
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
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
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
FLOT: Scene Flow on Point Clouds guided by Optimal Transport
Gilles Puy, Alexandre Boulch, and Renaud Marlet
European Conference on Computer Vision (ECCV), 2020
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
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
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 (CVPR), 2020
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
Computer Vision and Pattern Recognition (CVPR), 2020
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 (CVPR), 2020
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
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
Computers & Graphics Journal, 2020
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
2019
Zero-Shot Semantic Segmentation
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
Neural Information Processing Systems (NeurIPS), 2019
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
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
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
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave and Eric Jacopin
International Conference on Intelligent Robots and Systems (IROS), 2019
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 (CVPR), 2019
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 (CVPR), 2019