| SoundNet: Learning Sound Representations from Unlabeled Video Y Aytar, C Vondrick, A Torralba Neural Information Processing Systems, 2016 | 603 | 2016 |
| Tabula rasa: Model transfer for object category detection Y Aytar, A Zisserman 2011 international conference on computer vision, 2252-2259, 2011 | 376 | 2011 |
| Learning cross-modal embeddings for cooking recipes and food images A Salvador, N Hynes, Y Aytar, J Marin, F Ofli, I Weber, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 226 | 2017 |
| Playing hard exploration games by watching youtube Y Aytar, T Pfaff, D Budden, TL Paine, Z Wang, N de Freitas arXiv preprint arXiv:1805.11592, 2018 | 143 | 2018 |
| Learning aligned cross-modal representations from weakly aligned data L Castrejon, Y Aytar, C Vondrick, H Pirsiavash, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 116 | 2016 |
| See, hear, and read: Deep aligned representations Y Aytar, C Vondrick, A Torralba arXiv preprint arXiv:1706.00932, 2017 | 92 | 2017 |
| Sickle cell detection using a smartphone SM Knowlton, I Sencan, Y Aytar, J Khoory, MM Heeney, IC Ghiran, ... Scientific reports 5 (1), 1-11, 2015 | 83 | 2015 |
| Recipe1m+: A dataset for learning cross-modal embeddings for cooking recipes and food images J Marin, A Biswas, F Ofli, N Hynes, A Salvador, Y Aytar, I Weber, ... IEEE transactions on pattern analysis and machine intelligence 43 (1), 187-203, 2019 | 76 | 2019 |
| Utilizing semantic word similarity measures for video retrieval Y Aytar, M Shah, J Luo 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 75 | 2008 |
| Cross-modal scene networks Y Aytar, L Castrejon, C Vondrick, H Pirsiavash, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (10), 2303 …, 2017 | 73 | 2017 |
| How transferable are CNN-based features for age and gender classification? G Ozbulak, Y Aytar, HK Ekenel 2016 International Conference of the Biometrics Special Interest Group …, 2016 | 72 | 2016 |
| Temporal cycle-consistency learning D Dwibedi, Y Aytar, J Tompson, P Sermanet, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 67 | 2019 |
| Enhancing Exemplar SVMs using Part Level Transfer Regularization Y Aytar, A Zisserman BMVC, 2012 | 50 | 2012 |
| Is saki# delicious? the food perception gap on instagram and its relation to health F Ofli, Y Aytar, I Weber, R Al Hammouri, A Torralba Proceedings of the 26th International Conference on World Wide Web, 509-518, 2017 | 43 | 2017 |
| Improving semantic concept detection and retrieval using contextual estimates Y Aytar, OB Orhan, M Shah 2007 IEEE International Conference on Multimedia and Expo, 536-539, 2007 | 38 | 2007 |
| Face-to-BMI: Using computer vision to infer body mass index on social media E Kocabey, M Camurcu, F Ofli, Y Aytar, J Marin, A Torralba, I Weber Proceedings of the International AAAI Conference on Web and Social Media 11 (1), 2017 | 37 | 2017 |
| Transfer learning for object category detection Y Aytar Oxford University, UK, 2014 | 16 | 2014 |
| Part level transfer regularization for enhancing exemplar svms Y Aytar, A Zisserman Computer Vision and Image Understanding 138, 114-123, 2015 | 15 | 2015 |
| One-shot high-fidelity imitation: Training large-scale deep nets with rl TL Paine, SG Colmenarejo, Z Wang, S Reed, Y Aytar, T Pfaff, ... arXiv preprint arXiv:1810.05017, 2018 | 11 | 2018 |
| Self-supervised sim-to-real adaptation for visual robotic manipulation R Jeong, Y Aytar, D Khosid, Y Zhou, J Kay, T Lampe, K Bousmalis, F Nori 2020 IEEE International Conference on Robotics and Automation (ICRA), 2718-2724, 2020 | 10 | 2020 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
