Mickaël Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Object Segmentation

Context Awareness

Autonomous Driving

Multiple Choice

Top Venues

Publications

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
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR (2024)
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? ICRA (2024)
David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickaël Chen, Slim Essid, Gaël Richard
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. CoRR (2024)
Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
OCTET: Object-aware Counterfactual Explanations. CVPR (2023)
Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord
PointBeV: A Sparse Approach to BeV Predictions. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. ICCV (Workshops) (2023)
Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi
Manipulating Trajectory Prediction with Backdoors. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. CoRR (2023)
Victor Besnier, Mickaël Chen
A Pytorch Reproduction of Masked Generative Image Transformer. CoRR (2023)
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. CoRR (2023)
Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR (2023)
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. NeurIPS (2023)
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. CoRR (2023)
Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. NeurIPS (2023)
Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) (2022)
Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord
OCTET: Object-aware Counterfactual Explanations. CoRR (2022)
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord
Raising context awareness in motion forecasting. CVPR Workshops (2022)
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
A Neural Tangent Kernel Perspective of GANs. ICML (2022)
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord
Raising context awareness in motion forecasting. CoRR (2021)
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
A Neural Tangent Kernel Perspective of GANs. CoRR (2021)
Paul Jacob, Éloi Zablocki, Hedi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
STEEX: Steering Counterfactual Explanations with Semantics. CoRR (2021)
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
Stochastic Latent Residual Video Prediction. ICML (2020)
Qi Wang, Thierry Artières, Mickaël Chen, Ludovic Denoyer
Adversarial learning for modeling human motion. Vis. Comput. 36 (1) (2020)
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
Stochastic Latent Residual Video Prediction. CoRR (2020)
Mickaël Chen, Thierry Artières, Ludovic Denoyer
Unsupervised Object Segmentation by Redrawing. NeurIPS (2019)
Mickaël Chen, Thierry Artières, Ludovic Denoyer
Unsupervised Object Segmentation by Redrawing. CoRR (2019)
Mickaël Chen, Ludovic Denoyer, Thierry Artières
Multi-View Data Generation Without View Supervision. ICLR (Poster) (2018)
Qi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer
transferring style in motion capture sequences with adversarial learning. ESANN (2018)
Mickaël Chen, Ludovic Denoyer, Thierry Artières
Multi-View Data Generation Without View Supervision. CoRR (2017)
Mickaël Chen, Ludovic Denoyer
Multi-view Generative Adversarial Networks. ECML/PKDD (2) (2017)
Mickaël Chen, Ludovic Denoyer
Multi-view Generative Adversarial Networks. CoRR (2016)