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Mickael Chen
Mickael Chen
valeo.ai
Verified email at valeo.com - Homepage
Title
Cited by
Cited by
Year
Stochastic Latent Residual Video Prediction
JY Franceschi, E Delasalles, M Chen, S Lamprier, P Gallinari
International Conference on Machine Learning (ICML 2020), 2020
1652020
Unsupervised object segmentation by redrawing
M Chen, T Artières, L Denoyer
Advances in Neural Information Processing Systems (NeurIPS 2019), 12705-12716, 2019
1472019
Multi-view generative adversarial networks
M Chen, L Denoyer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
412017
STEEX: steering counterfactual explanations with semantics
P Jacob, É Zablocki, H Ben-Younes, M Chen, P Pérez, M Cord
European Conference on Computer Vision, 387-403, 2022
402022
Adversarial learning for modeling human motion
Q Wang, T Artieres, M Chen, L Denoyer
The Visual Computer 36 (1), 141-160, 2020
222020
Multi-View Data Generation Without View Supervision
M Chen, L Denoyer, T Artières
International Conference on Learning Representations (ICLR 2018), 2017
222017
Octet: Object-aware counterfactual explanations
M Zemni, M Chen, É Zablocki, H Ben-Younes, P Pérez, M Cord
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
202023
A neural tangent kernel perspective of GANs
JY Franceschi, E De Bézenac, I Ayed, M Chen, S Lamprier, P Gallinari
International Conference on Machine Learning, 6660-6704, 2022
202022
Unifying GANs and Score-Based Diffusion as Generative Particle Models
JY Franceschi, M Gartrell, LD Santos, T Issenhuth, E de Bézenac, M Chen, ...
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
112023
DiffHPE: Robust, coherent 3D human pose lifting with diffusion
C Rommel, E Valle, M Chen, S Khalfaoui, R Marlet, M Cord, P Pérez
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
92023
Raising context awareness in motion forecasting
H Ben-Younes, É Zablocki, M Chen, P Pérez, M Cord
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
Transferring Style in Motion Capture Sequences with Adversarial Learning
Q Wang, M Chen, T Artieres, L Denoyer
European Symposium on Artificial Neural Networks (ESANN2018), 2018
82018
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
Y Xu, L Chambon, É Zablocki, M Chen, M Cord, P Pérez
International Conference on Robotics and Automation, 2024
72024
PointBeV: A Sparse Approach for BeV Predictions
L Chambon, E Zablocki, M Chen, F Bartoccioni, P Pérez, M Cord
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
22024
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
V Letzelter, M Fontaine, M Chen, P Pérez, G Richard, S Essid
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
22023
Learning with weak supervision using deep generative networks
M Chen
Sorbonne Université, 2020
22020
Valeo4Cast: A Modular Approach to End-to-End Forecasting
Y Xu, É Zablocki, A Boulch, G Puy, M Chen, F Bartoccioni, N Samet, ...
arXiv preprint arXiv:2406.08113, 2024
2024
Manipulating Trajectory Prediction with Backdoors
K Massoud, K Grosse, M Chen, M Cord, P Pérez, A Alahi
arXiv preprint arXiv:2312.13863, 2023
2023
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
T Loiseau, TH Vu, M Chen, P Pérez, M Cord
arXiv preprint arXiv:2312.09231, 2023
2023
Multi-Modal 3D GAN for Urban Scenes
L Chambon, M Chen, TH Vu, A Boulch, A Bursuc, M Cord, P Pérez
Workshop on Machine Learning for Autonomous Driving (ML4AD) at NeurIPS 2022, 2022
2022
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