| Fully convolutional networks for semantic segmentation J Long, E Shelhamer, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 24387 | 2015 |
| Rich feature hierarchies for accurate object detection and semantic segmentation R Girshick, J Donahue, T Darrell, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 18789 | 2014 |
| Caffe: Convolutional architecture for fast feature embedding Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ... Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014 | 15553 | 2014 |
| Pfinder: Real-time tracking of the human body CR Wren, A Azarbayejani, T Darrell, AP Pentland IEEE Transactions on pattern analysis and machine intelligence 19 (7), 780-785, 1997 | 6803 | 1997 |
| Long-term recurrent convolutional networks for visual recognition and description J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 5177 | 2015 |
| Decaf: A deep convolutional activation feature for generic visual recognition J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell International conference on machine learning, 647-655, 2014 | 4515 | 2014 |
| Context encoders: Feature learning by inpainting D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2967 | 2016 |
| End-to-end training of deep visuomotor policies S Levine, C Finn, T Darrell, P Abbeel The Journal of Machine Learning Research 17 (1), 1334-1373, 2016 | 2455 | 2016 |
| Adversarial discriminative domain adaptation E Tzeng, J Hoffman, K Saenko, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2330 | 2017 |
| The pyramid match kernel: Discriminative classification with sets of image features K Grauman, T Darrell Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005 | 1959 | 2005 |
| Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell European conference on computer vision, 213-226, 2010 | 1889 | 2010 |
| Region-based convolutional networks for accurate object detection and segmentation R Girshick, J Donahue, T Darrell, J Malik IEEE transactions on pattern analysis and machine intelligence 38 (1), 142-158, 2015 | 1770 | 2015 |
| Cycada: Cycle-consistent adversarial domain adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell International conference on machine learning, 1989-1998, 2018 | 1369 | 2018 |
| Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014 | 1263 | 2014 |
| Adversarial feature learning J Donahue, P Krähenbühl, T Darrell arXiv preprint arXiv:1605.09782, 2016 | 1262 | 2016 |
| Hidden conditional random fields A Quattoni, S Wang, LP Morency, M Collins, T Darrell IEEE transactions on pattern analysis and machine intelligence 29 (10), 1848 …, 2007 | 1196* | 2007 |
| Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International conference on machine learning, 2778-2787, 2017 | 1151 | 2017 |
| Sequence to sequence-video to text S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko Proceedings of the IEEE international conference on computer vision, 4534-4542, 2015 | 1146 | 2015 |
| Nearest-neighbor methods in learning and vision: theory and practice (neural information processing) G Shakhnarovich, T Darrell, P Indyk The MIT press, 2006 | 1129* | 2006 |
| Multimodal compact bilinear pooling for visual question answering and visual grounding A Fukui, DH Park, D Yang, A Rohrbach, T Darrell, M Rohrbach arXiv preprint arXiv:1606.01847, 2016 | 1044 | 2016 |
Kate SaenkoBoston University & MIT-IBM Watson AI LabVerified email at bu.edu
