| Stochastic Latent Residual Video Prediction JY Franceschi, E Delasalles, M Chen, S Lamprier, P Gallinari International Conference on Machine Learning (ICML 2020), 2020 | 182 | 2020 |
| Unsupervised object segmentation by redrawing M Chen, T Artières, L Denoyer Advances in Neural Information Processing Systems (NeurIPS 2019), 12705-12716, 2019 | 167 | 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 | 56 | 2022 |
| Multi-view generative adversarial networks M Chen, L Denoyer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 43 | 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 | 38 | 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 | 26 | 2022 |
| Adversarial learning for modeling human motion Q Wang, T Artieres, M Chen, L Denoyer The Visual Computer 36 (1), 141-160, 2020 | 25 | 2020 |
| 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 | 23 | 2023 |
| Multi-View Data Generation Without View Supervision M Chen, L Denoyer, T Artières International Conference on Learning Representations (ICLR 2018), 2017 | 22 | 2017 |
| 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 | 16 | 2024 |
| 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 | 15 | 2023 |
| 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 | 13 | 2024 |
| 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 | 11 | 2022 |
| A pytorch reproduction of masked generative image transformer V Besnier, M Chen arXiv preprint arXiv:2310.14400, 2023 | 9 | 2023 |
| Reliability in semantic segmentation: Can we use synthetic data? T Loiseau, TH Vu, M Chen, P Pérez, M Cord European Conference on Computer Vision, 442-459, 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 |
| 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 | 5 | 2023 |
| Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing D Perera, V Letzelter, T Mariotte, A Cortés, M Chen, S Essid, G Richard arXiv preprint arXiv:2407.15580, 2024 | 2 | 2024 |
| 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 | 1 | 2024 |
Matthieu CordProfessor Sorbonne University / Scientific Director valeo.aiVerified email at sorbonne-universite.fr
