Selected publications
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, 2021
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
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
2020
FKAConv: Feature-Kernel Alignment for Point Cloud Convolutiont
Alexandre Boulch, Gilles Puy, and Renaud Marlet
Asian Conference on Computer Vision (ACCV), 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
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
TRADI: Tracking deep neural network weight distributions
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
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
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
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
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
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
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
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
Computers & Graphics Journal, 2020