Mickaël Chen

According to our database, Mickaël Chen authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Annealed Winner-Takes-All for Motion Forecasting.

Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord

CoRR, 2024

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing.

David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickaël Chen, Slim Essid, Gaël Richard

CoRR, 2024

Valeo4Cast: A Modular Approach to End-to-End Forecasting.

Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord

CoRR, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reliability in Semantic Segmentation: Can We Use Synthetic Data?

Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord

Proceedings of the Computer Vision - ECCV 2024, 2024

PointBeV: A Sparse Approach to BeV Predictions.

Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Manipulating Trajectory Prediction with Backdoors.

Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi

CoRR, 2023

A Pytorch Reproduction of Masked Generative Image Transformer.

Victor Besnier, Mickaël Chen

CoRR, 2023

Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving.

Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez

CoRR, 2023

Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis.

Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models.

Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion.

Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OCTET: Object-aware Counterfactual Explanations.

Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Neural Tangent Kernel Perspective of GANs.

Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari

Proceedings of the International Conference on Machine Learning, 2022

STEEX: Steering Counterfactual Explanations with Semantics.

Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord

Proceedings of the Computer Vision - ECCV 2022, 2022

Raising context awareness in motion forecasting.

Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Learning with weak supervision using deep generative networks. (Apprentissage en supervision faible par l'emploi de réseaux génératifs profonds).

Mickaël Chen

PhD thesis, 2020

Adversarial learning for modeling human motion.

Qi Wang, Thierry Artières, Mickaël Chen, Ludovic Denoyer

Vis. Comput., 2020

Stochastic Latent Residual Video Prediction.

Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Unsupervised Object Segmentation by Redrawing.

Mickaël Chen, Thierry Artières, Ludovic Denoyer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Multi-View Data Generation Without View Supervision.

Mickaël Chen, Ludovic Denoyer, Thierry Artières

Proceedings of the 6th International Conference on Learning Representations, 2018

transferring style in motion capture sequences with adversarial learning.

Qi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Multi-view Generative Adversarial Networks.

Mickaël Chen, Ludovic Denoyer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017