| Imagenet large scale visual recognition challenge O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ... International journal of computer vision 115 (3), 211-252, 2015 | 33989 | 2015 |
| 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 | 7233 | 2016 |
| 3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 4453 | 2015 |
| Multimodal deep learning J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng Proceedings of the 28th International Conference on Machine Learning (ICML), 2011 | 3323 | 2011 |
| 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 | 2795 | 2017 |
| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 2060 | 2017 |
| Object detectors emerge in Deep Scene CNNs B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations, 2015 | 1250 | 2015 |
| Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1176 | 2017 |
| Novel dataset for fine-grained image categorization A Khosla, N Jayadevaprakash, B Yao, FF Li First Workshop on Fine-Grained Visual Categorization, CVPR, 2011 | 1163* | 2011 |
| Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 2016 | 958 | 2016 |
| Eye tracking for everyone K Krafka, A Khosla, P Kellnhofer, H Kannan, S Bhandarkar, W Matusik, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 769 | 2016 |
| Human Action Recognition by Learning Bases of Action Attributes and Parts B Yao, X Jiang, A Khosla, AL Lin, L Guibas, L Fei-Fei International Conference on Computer Vision, 2011 | 681 | 2011 |
| Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence RM Cichy, A Khosla, D Pantazis, A Torralba, A Oliva Scientific reports 6 (1), 1-13, 2016 | 596* | 2016 |
| Undoing the Damage of Dataset Bias A Khosla, T Zhou, T Malisiewicz, AA Efros, A Torralba European Conference on Computer Vision, 2012 | 492 | 2012 |
| Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016 | 396 | 2016 |
| HOGgles: Visualizing Object Detection Features C Vondrick, A Khosla, T Malisiewicz, A Torralba International Conference on Computer Vision (ICCV), 2013, 2013 | 375 | 2013 |
| Combining randomization and discrimination for fine-grained image categorization B Yao, A Khosla, L Fei-Fei Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011 | 370 | 2011 |
| What makes an image popular? A Khosla, A Das Sarma, R Hamid Proceedings of the 23rd international conference on World wide web, 867-876, 2014 | 357 | 2014 |
| Understanding and predicting image memorability at a large scale A Khosla, AS Raju, A Torralba, A Oliva International Conference on Computer Vision (ICCV), 2015, 2015 | 313 | 2015 |
| Large-Scale Video Summarization Using Web-Image Priors A Khosla, R Hamid, CJ Lin, N Sundaresan Computer Vision and Pattern Recognition (CVPR), 2013 | 311 | 2013 |
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
