| Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 8801 | 2016 |
| Modeling the shape of the scene: A holistic representation of the spatial envelope A Oliva, A Torralba International journal of computer vision 42 (3), 145-175, 2001 | 8136 | 2001 |
| Learning deep features for scene recognition using places database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva Advances in neural information processing systems 27, 2014 | 3452 | 2014 |
| Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017 | 3359 | 2017 |
| Sun database: Large-scale scene recognition from abbey to zoo J Xiao, J Hays, KA Ehinger, A Oliva, A Torralba 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 3329 | 2010 |
| Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. A Torralba, A Oliva, MS Castelhano, JM Henderson Psychological review 113 (4), 766, 2006 | 2102 | 2006 |
| Building the gist of a scene: The role of global image features in recognition A Oliva, A Torralba Progress in brain research 155, 23-36, 2006 | 1855 | 2006 |
| Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Computer Vision and Pattern Recognition (CVPR), 2017 | 1349 | 2017 |
| Object detectors emerge in deep scene cnns Z Bolei, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations (ICLR) 2015, 2014 | 1339* | 2014 |
| Object detectors emerge in deep scene cnns B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba arXiv preprint arXiv:1412.6856, 2014 | 1339 | 2014 |
| Visual long-term memory has a massive storage capacity for object details TF Brady, T Konkle, GA Alvarez, A Oliva Proceedings of the National Academy of Sciences 105 (38), 14325-14329, 2008 | 1257 | 2008 |
| A feedforward architecture accounts for rapid categorization T Serre, A Oliva, T Poggio Proceedings of the national academy of sciences 104 (15), 6424-6429, 2007 | 1145 | 2007 |
| The role of context in object recognition A Oliva, A Torralba Trends in cognitive sciences 11 (12), 520-527, 2007 | 1137 | 2007 |
| Statistics of natural image categories A Torralba, A Oliva Network: computation in neural systems 14 (3), 391, 2003 | 1137 | 2003 |
| Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018 | 1004 | 2018 |
| From blobs to boundary edges: Evidence for time-and spatial-scale-dependent scene recognition PG Schyns, A Oliva Psychological science 5 (4), 195-200, 1994 | 935 | 1994 |
| What do different evaluation metrics tell us about saliency models? Z Bylinskii, T Judd, A Oliva, A Torralba, F Durand IEEE transactions on pattern analysis and machine intelligence 41 (3), 740-757, 2018 | 745 | 2018 |
| Gist of the scene A Oliva Neurobiology of attention, 251-256, 2005 | 680 | 2005 |
| What makes a visualization memorable? MA Borkin, AA Vo, Z Bylinskii, P Isola, S Sunkavalli, A Oliva, H Pfister IEEE transactions on visualization and computer graphics 19 (12), 2306-2315, 2013 | 677 | 2013 |
| Top-down control of visual attention in object detection A Oliva, A Torralba, MS Castelhano, JM Henderson Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 662 | 2003 |
Antonio TorralbaProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
