| Where should saliency models look next? Z Bylinskii, A Recasens, A Borji, A Oliva, A Torralba, F Durand European Conference on Computer Vision, 809-824, 2016 | 142 | 2016 |
| Where are they looking? ARC Recasens Massachusetts Institute of Technology, 2016 | 138 | 2016 |
| Where are they looking? A Recasens Continente, A Khosla, C Vondrick, A Torralba Neural Information Processing Systems Foundation, 2015 | 138* | 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 | 118 | 2018 |
| Emotion recognition in context R Kosti, JM Alvarez, A Recasens, A Lapedriza Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 89 | 2017 |
| 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 | 53 | 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 | 52 | 2019 |
| Self-Supervised MultiModal Versatile Networks. JB Alayrac, A Recasens, R Schneider, R Arandjelovic, J Ramapuram, ... NeurIPS 2 (6), 7, 2020 | 40 | 2020 |
| Following gaze in video A Recasens, C Vondrick, A Khosla, A Torralba Proceedings of the IEEE International Conference on Computer Vision, 1435-1443, 2017 | 38 | 2017 |
| 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 | 27 | 2019 |
| 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 | 26 | 2017 |
| Breaking microsoft’s CAPTCHA CP Karthik, RA Recasens Technical report, 2015 | 17 | 2015 |
| EMOTIC: Emotions in Context dataset R Kosti, JM Alvarez, A Recasens, A Lapedriza Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 13 | 2017 |
| Spectral learning of sequence taggers over continuous sequences A Recasens, A Quattoni Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 11 | 2013 |
| 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 | 9 | 2018 |
| 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 | 6 | 2019 |
| Systems and methods for gaze tracking from arbitrary viewpoints S Stent, A Recasens, A Torralba, P Kellnhofer, W Matuski US Patent App. 16/158,831, 2019 | 5 | 2019 |
| Following gaze across views A Recasens, C Vondrick, A Khosla, A Torralba arXiv preprint arXiv:1612.03094, 2016 | 5 | 2016 |
| Multimodal Self-Supervised Learning of General Audio Representations L Wang, P Luc, A Recasens, JB Alayrac, A Oord arXiv preprint arXiv:2104.12807, 2021 | 2 | 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 | 2 | 2021 |
Antonio TorralbaProfessor of Computer Science, MITAdresse e-mail validée de csail.mit.edu
