Chen, Mickaël

17 publications

ICCV 2025 GaussRender: Learning 3D Occupancy with Gaussian Rendering Loick Chambon, Eloi Zablocki, Alexandre Boulch, Mickael Chen, Matthieu Cord

ICLR 2025 Halton Scheduler for Masked Generative Image Transformer Victor Besnier, Mickael Chen, David Hurych, Eduardo Valle, Matthieu Cord

NeurIPS 2024 Annealed Multiple Choice Learning: Overcoming Limitations of Winner-Takes-All with Annealing David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard

CVPR 2024 PointBeV: A Sparse Approach for BeV Predictions Loick Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord

ECCV 2024 Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord

ECCVW 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

ICCVW 2023 DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez

CVPR 2023 OCTET: Object-Aware Counterfactual Explanations Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

NeurIPS 2023 Resilient Multiple Choice Learning: A Learned Scoring Scheme with Application to Audio Scene Analysis Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard

NeurIPS 2023 Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickael Chen, Alain Rakotomamonjy

ICML 2022 A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi, Emmanuel De Bézenac, Ibrahim Ayed, Mickael Chen, Sylvain Lamprier, Patrick Gallinari

CVPRW 2022 Raising Context Awareness in Motion Forecasting Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord

ECCV 2022 STEEX: Steering Counterfactual Explanations with Semantics Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord

ICML 2020 Stochastic Latent Residual Video Prediction Jean-Yves Franceschi, Edouard Delasalles, Mickael Chen, Sylvain Lamprier, Patrick Gallinari

NeurIPS 2019 Unsupervised Object Segmentation by Redrawing Mickaël Chen, Thierry Artières, Ludovic Denoyer

ICLR 2018 Multi-View Data Generation Without View Supervision Mickael Chen, Ludovic Denoyer, Thierry Artières

ECML-PKDD 2017 Multi-View Generative Adversarial Networks Mickaël Chen, Ludovic Denoyer