| Stochastic Latent Residual Video Prediction JY Franceschi, E Delasalles, M Chen, S Lamprier, P Gallinari International Conference on Machine Learning (ICML 2020), 2020 | 167 | 2020 |
| Unsupervised object segmentation by redrawing M Chen, T Artières, L Denoyer Advances in Neural Information Processing Systems (NeurIPS 2019), 12705-12716, 2019 | 147 | 2019 |
| 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 | 41 | 2022 |
| Multi-view generative adversarial networks M Chen, L Denoyer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 41 | 2017 |
| Adversarial learning for modeling human motion Q Wang, T Artieres, M Chen, L Denoyer The Visual Computer 36 (1), 141-160, 2020 | 22 | 2020 |
| Multi-View Data Generation Without View Supervision M Chen, L Denoyer, T Artières International Conference on Learning Representations (ICLR 2018), 2017 | 22 | 2017 |
| 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 | 21 | 2023 |
| 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 | 20 | 2022 |
| 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 | 11 | 2023 |
| 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 | 9 | 2023 |
| 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 | 9 | 2022 |
| 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 | 8 | 2024 |
| 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 | 8 | 2018 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| Learning with weak supervision using deep generative networks M Chen Sorbonne Université, 2020 | 2 | 2020 |
| 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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