| 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 | 3205 | 2022 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2084 | 2023 |
| Howto100m: Learning a text-video embedding by watching hundred million narrated video clips A Miech, D Zhukov, JB Alayrac, M Tapaswi, I Laptev, J Sivic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1235 | 2019 |
| End-to-end learning of visual representations from uncurated instructional videos A Miech, JB Alayrac, L Smaira, I Laptev, J Sivic, A Zisserman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 805 | 2020 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 617 | 2024 |
| Perceiver io: A general architecture for structured inputs & outputs A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ... arXiv preprint arXiv:2107.14795, 2021 | 587 | 2021 |
| Self-supervised multimodal versatile networks JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ... Advances in neural information processing systems 33, 25-37, 2020 | 423 | 2020 |
| Are Labels Required for Improving Adversarial Robustness? J Uesato, JB Alayrac, PS Huang, R Stanforth, A Fawzi, P Kohli NeurIPS 2019, 2019 | 384* | 2019 |
| Unsupervised learning from narrated instruction videos JB Alayrac, P Bojanowski, N Agrawal, J Sivic, I Laptev, S Lacoste-Julien CVPR 2016 - Proceedings of the IEEE Conference on Computer Vision and …, 2016 | 362 | 2016 |
| Cross-task weakly supervised learning from instructional videos D Zhukov, JB Alayrac, RG Cinbis, D Fouhey, I Laptev, J Sivic CVPR 2019 - Proceedings of the IEEE Conference on Computer Vision and …, 2019 | 266 | 2019 |
| Gemini: A family of highly capable multimodal models R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805 1, 2023 | 219 | 2023 |
| Efficient visual pretraining with contrastive detection OJ Hénaff, S Koppula, JB Alayrac, A Van den Oord, O Vinyals, J Carreira Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 179 | 2021 |
| Thinking fast and slow: Efficient text-to-visual retrieval with transformers A Miech, JB Alayrac, I Laptev, J Sivic, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 148 | 2021 |
| 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 | 139 | 2021 |
| Decoupling the role of data, attention, and losses in multimodal transformers LA Hendricks, J Mellor, R Schneider, JB Alayrac, A Nematzadeh Transactions of the Association for Computational Linguistics 9, 570-585, 2021 | 121 | 2021 |
| Joint discovery of object states and manipulation actions JB Alayrac, J Sivic, I Laptev, S Lacoste-Julien ICCV 2017 - Proceedings of the IEEE International Conference on Computer Vision, 2017 | 98 | 2017 |
| Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 88 | 2024 |
| Minding the gaps for block Frank-Wolfe optimization of structured SVMs A Osokin, JB Alayrac, I Lukasewitz, P Dokania, S Lacoste-Julien ICML 2016 - Proceedings of the 33rd International Conference on Machine Learning, 2016 | 86 | 2016 |
| 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 | 75 | 2022 |
Ivan LaptevProfessor at MBZUAI, on leave from INRIAכתובת אימייל מאומתת בדומיין inria.fr