| Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in neural information processing systems 35, 23716-23736, 2022 | 3277 | 2022 |
| Semantic segmentation using adversarial networks P Luc, C Couprie, S Chintala, J Verbeek arXiv preprint arXiv:1611.08408, 2016 | 1019 | 2016 |
| Predicting Deeper into the Future of Semantic Segmentation P Luc, N Neverova, C Couprie, J Verbeek, Y LeCun Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017 | 265 | 2017 |
| Broaden your views for self-supervised video learning A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 141 | 2021 |
| Game Plan: What AI can do for Football, and What Football can do for AI K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ... Journal of Artificial Intelligence Research 71, 41-88, 2021 | 110 | 2021 |
| Predicting future instance segmentation by forecasting convolutional features P Luc, C Couprie, Y Lecun, J Verbeek Proceedings of the european conference on computer vision (ECCV), 584-599, 2018 | 106 | 2018 |
| Towards learning universal audio representations L Wang, P Luc, Y Wu, A Recasens, L Smaira, A Brock, A Jaegle, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 76 | 2022 |
| Mikoł aj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan. Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in Neural Information Processing Systems 35, 23716-23736, 2022 | 76 | 2022 |
| Transformation-based adversarial video prediction on large-scale data P Luc, A Clark, S Dieleman, DL Casas, Y Doron, A Cassirer, K Simonyan arXiv preprint arXiv:2003.04035, 2020 | 70 | 2020 |
| Multimodal self-supervised learning of general audio representations L Wang, P Luc, A Recasens, JB Alayrac, A Oord arXiv preprint arXiv:2104.12807, 2021 | 50 | 2021 |
| Predicting deeper into the future of semantic segmentation N Neverova, P Luc, C Couprie, J Verbeek, Y LeCun arXiv preprint arXiv:1703.07684 5, 2017 | 39 | 2017 |
| Fully parallel hyperparameter search: Reshaped space-filling ML Cauwet, C Couprie, J Dehos, P Luc, J Rapin, M Riviere, F Teytaud, ... International Conference on Machine Learning, 1338-1348, 2020 | 29 | 2020 |
| Zorro: the masked multimodal transformer A Recasens, J Lin, J Carreira, D Jaegle, L Wang, J Alayrac, P Luc, ... arXiv preprint arXiv:2301.09595, 2023 | 22 | 2023 |
| Joint future semantic and instance segmentation prediction C Couprie, P Luc, J Verbeek Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 14 | 2018 |
| Bootstap: Bootstrapped training for tracking-any-point C Doersch, P Luc, Y Yang, D Gokay, S Koppula, A Gupta, J Heyward, ... arXiv preprint arXiv:2402.00847, 2024 | 9 | 2024 |
| Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime C Zhang, A Miech, J Shen, JB Alayrac, P Luc arXiv preprint arXiv:2305.02297, 2023 | 2 | 2023 |
| Self-supervised learning of predictive segmentation models from video P Luc Université Grenoble Alpes, 2019 | 2 | 2019 |
| Language model for processing a multi-mode query input JB Alayrac, J Donahue, K Lenc, K Simonyan, MKC Reynolds, ... US Patent App. 18/141,337, 2023 | 1 | 2023 |
| Recurrent unit for generating or processing a sequence of images LUC Pauline, A Clark, SEL Dieleman, K Simonyan US Patent App. 17/797,198, 2023 | 1 | 2023 |
| Apprentissage autosupervisé de modèles prédictifs de segmentation à partir de vidéos| Theses. fr P Luc Université Grenoble Alpes (ComUE), 2019 | | 2019 |
Camille CouprieResearch scientist at Facebook AI ResearchBestätigte E-Mail-Adresse bei esiee.fr
