| 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 | 274 | 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 | 224 | 2016 |
| 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 | 210 | 2020 |
| Are Labels Required for Improving Adversarial Robustness? J Uesato, JB Alayrac, PS Huang, R Stanforth, A Fawzi, P Kohli NeurIPS 2019, 2019 | 160* | 2019 |
| Self-Supervised MultiModal Versatile Networks. JB Alayrac, A Recasens, R Schneider, R Arandjelovic, J Ramapuram, ... NeurIPS 2 (6), 7, 2020 | 93 | 2020 |
| 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 | 74 | 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 | 70 | 2019 |
| 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 | 49 | 2017 |
| Learning from video and text via large-scale discriminative clustering A Miech, JB Alayrac, P Bojanowski, I Laptev, J Sivic ICCV 2017 - Proceedings of the IEEE International Conference on Computer Vision, 2017 | 43 | 2017 |
| SEARNN: Training RNNs with global-local losses R Leblond, JB Alayrac, A Osokin, S Lacoste-Julien ICLR 2018, 2017 | 35 | 2017 |
| Thermally-drawn fibers with spatially-selective porous domains B Grena, JB Alayrac, E Levy, AM Stolyarov, JD Joannopoulos, Y Fink Nature Communications 8 (1), 364, 2017 | 30 | 2017 |
| A flexible model for training action localization with varying levels of supervision G Chéron, JB Alayrac, I Laptev, C Schmid NeurIPS 2018, 2018 | 25 | 2018 |
| Visual grounding in video for unsupervised word translation GA Sigurdsson, JB Alayrac, A Nematzadeh, L Smaira, M Malinowski, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 23 | 2020 |
| The Visual Centrifuge: Model-Free Layered Video Representations JB Alayrac, J Carreira, A Zisserman CVPR 2019 - Proceedings of the IEEE Conference on Computer Vision and …, 2018 | 23 | 2018 |
| 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 | 21 | 2021 |
| Efficient visual pretraining with contrastive detection OJ Hénaff, S Koppula, JB Alayrac, A Oord, O Vinyals, J Carreira arXiv preprint arXiv:2103.10957, 2021 | 20 | 2021 |
| Broaden Your Views for Self-Supervised Video Learning A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ... arXiv preprint arXiv:2103.16559, 2021 | 18 | 2021 |
| 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 | 15 | 2021 |
| Decoupling the role of data, attention, and losses in multimodal transformers LA Hendricks, J Mellor, R Schneider, JB Alayrac, A Nematzadeh arXiv preprint arXiv:2102.00529, 2021 | 12 | 2021 |
| Learning from narrated instruction videos JB Alayrac, P Bojanowski, N Agrawal, J Sivic, I Laptev, S Lacoste-Julien IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (9), 2194-2208, 2018 | 12 | 2018 |
Ivan LaptevResearch director, INRIAAdresse e-mail validée de inria.fr
