| 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 | 261 | 2020 |
| Where are they looking? A Recasens, A Khosla, C Vondrick, A Torralba Advances in neural information processing systems 28, 2015 | 203 | 2015 |
| Jointly discovering visual objects and spoken words from raw sensory input D Harwath, A Recasens, D Surís, G Chuang, A Torralba, J Glass Proceedings of the European conference on computer vision (ECCV), 649-665, 2018 | 202 | 2018 |
| Gaze360: Physically unconstrained gaze estimation in the wild P Kellnhofer, A Recasens, S Stent, W Matusik, A Torralba Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 193 | 2019 |
| Emotion recognition in context R Kosti, JM Alvarez, A Recasens, A Lapedriza Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 178 | 2017 |
| Where should saliency models look next? Z Bylinskii, A Recasens, A Borji, A Oliva, A Torralba, F Durand Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 174 | 2016 |
| Context based emotion recognition using emotic dataset R Kosti, JM Alvarez, A Recasens, A Lapedriza IEEE transactions on pattern analysis and machine intelligence 42 (11), 2755 …, 2019 | 123 | 2019 |
| Learning to zoom: a saliency-based sampling layer for neural networks A Recasens, P Kellnhofer, S Stent, W Matusik, A Torralba Proceedings of the European Conference on Computer Vision (ECCV), 51-66, 2018 | 118 | 2018 |
| 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 | 87 | 2021 |
| Following gaze in video A Recasens, C Vondrick, A Khosla, A Torralba Proceedings of the IEEE International Conference on Computer Vision, 1435-1443, 2017 | 72 | 2017 |
| 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 | 47 | 2021 |
| EMOTIC: Emotions in Context dataset R Kosti, JM Alvarez, A Recasens, A Lapedriza Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 42 | 2017 |
| Understanding infographics through textual and visual tag prediction Z Bylinskii, S Alsheikh, S Madan, A Recasens, K Zhong, H Pfister, ... arXiv preprint arXiv:1709.09215, 2017 | 38 | 2017 |
| 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 | 36 | 2022 |
| Multimodal self-supervised learning of general audio representations L Wang, P Luc, A Recasens, JB Alayrac, A Oord arXiv preprint arXiv:2104.12807, 2021 | 30 | 2021 |
| Synthetically trained icon proposals for parsing and summarizing infographics S Madan, Z Bylinskii, M Tancik, A Recasens, K Zhong, S Alsheikh, ... arXiv preprint arXiv:1807.10441, 2018 | 24 | 2018 |
| Breaking microsoft’s CAPTCHA CP Karthik, RA Recasens Tech. Rep, 2015 | 20 | 2015 |
| Learning Words by Drawing Images D Suris, A Recasens, D Bau, D Harwath, J Glass, A Torralba Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| Spectral learning of sequence taggers over continuous sequences A Recasens, A Quattoni Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 11 | 2013 |
| Hierarchical perceiver J Carreira, S Koppula, D Zoran, A Recasens, C Ionescu, O Henaff, ... arXiv preprint arXiv:2202.10890, 2022 | 9 | 2022 |
Antonio TorralbaProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
