Selected publications

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


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


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

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


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


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


Driving behavior explanation with multi-level fusion

Hédi Ben-Younes*, Éloi Zablocki*, Patrick Pérez, Matthieu Cord
Pattern Recognition (PR), 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


Multi-View Radar Semantic Segmentation

Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin and Julien Rebut
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


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


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


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


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


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


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


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


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


FLOT: Scene Flow on Point Clouds guided by Optimal Transport

Gilles Puy, Alexandre Boulch, and Renaud Marlet
European Conference on Computer Vision (ECCV), 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


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

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