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Mickaël Chen
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2020 – today
- 2024
- [c15]Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CVPR 2024: 15195-15204 - [c14]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? ECCV (23) 2024: 442-459 - [c13]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: 18428-18435 - [i19]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 abs/2406.08113 (2024) - [i18]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 abs/2407.15580 (2024) - [i17]Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord:
Annealed Winner-Takes-All for Motion Forecasting. CoRR abs/2409.11172 (2024) - 2023
- [c12]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CVPR 2023: 15062-15071 - [c11]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: 3212-3221 - [c10]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 - [c9]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 - [i16]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 abs/2305.16150 (2023) - [i15]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 abs/2306.09281 (2023) - [i14]Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. CoRR abs/2309.01575 (2023) - [i13]Victor Besnier, Mickaël Chen:
A Pytorch Reproduction of Masked Generative Image Transformer. CoRR abs/2310.14400 (2023) - [i12]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 abs/2311.01052 (2023) - [i11]Loïck Chambon, Eloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord:
PointBeV: A Sparse Approach to BeV Predictions. CoRR abs/2312.00703 (2023) - [i10]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR abs/2312.09231 (2023) - [i9]Kaouther Messaoud, Kathrin Grosse, Mickaël Chen, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Manipulating Trajectory Prediction with Backdoors. CoRR abs/2312.13863 (2023) - 2022
- [c8]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CVPR Workshops 2022: 4408-4417 - [c7]Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. ECCV (12) 2022: 387-403 - [c6]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. ICML 2022: 6660-6704 - [i8]Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord:
OCTET: Object-aware Counterfactual Explanations. CoRR abs/2211.12380 (2022) - 2021
- [i7]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. CoRR abs/2106.05566 (2021) - [i6]Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. CoRR abs/2109.08048 (2021) - [i5]Paul Jacob, Éloi Zablocki, Hedi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord:
STEEX: Steering Counterfactual Explanations with Semantics. CoRR abs/2111.09094 (2021) - 2020
- [b1]Mickaël Chen:
Learning with weak supervision using deep generative networks. (Apprentissage en supervision faible par l'emploi de réseaux génératifs profonds). Sorbonne University, France, 2020 - [j1]Qi Wang, Thierry Artières, Mickaël Chen, Ludovic Denoyer:
Adversarial learning for modeling human motion. Vis. Comput. 36(1): 141-160 (2020) - [c5]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. ICML 2020: 3233-3246 - [i4]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. CoRR abs/2002.09219 (2020)
2010 – 2019
- 2019
- [c4]Mickaël Chen, Thierry Artières, Ludovic Denoyer:
Unsupervised Object Segmentation by Redrawing. NeurIPS 2019: 12705-12716 - [i3]Mickaël Chen, Thierry Artières, Ludovic Denoyer:
Unsupervised Object Segmentation by Redrawing. CoRR abs/1905.13539 (2019) - 2018
- [c3]Qi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer:
transferring style in motion capture sequences with adversarial learning. ESANN 2018 - [c2]Mickaël Chen, Ludovic Denoyer, Thierry Artières:
Multi-View Data Generation Without View Supervision. ICLR (Poster) 2018 - 2017
- [c1]Mickaël Chen, Ludovic Denoyer:
Multi-view Generative Adversarial Networks. ECML/PKDD (2) 2017: 175-188 - [i2]Mickaël Chen, Ludovic Denoyer, Thierry Artières:
Multi-View Data Generation Without View Supervision. CoRR abs/1711.00305 (2017) - 2016
- [i1]Mickaël Chen, Ludovic Denoyer:
Multi-view Generative Adversarial Networks. CoRR abs/1611.02019 (2016)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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