| Fully convolutional networks for semantic segmentation J Long, E Shelhamer, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 16838 | 2015 |
| 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 | 13535 | 2014 |
| 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 | 13475 | 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 | 6199 | 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 | 3957 | 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 | 3732 | 2014 |
| 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 | 1862 | 2016 |
| 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 | 1860 | 2016 |
| 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 | 1830 | 2005 |
| Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell European conference on computer vision, 213-226, 2010 | 1389 | 2010 |
| Adversarial discriminative domain adaptation E Tzeng, J Hoffman, K Saenko, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1374 | 2017 |
| 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 | 1278 | 2015 |
| Conditional random fields for object recognition A Quattoni, M Collins, T Darrell Advances in neural information processing systems, 1097-1104, 2005 | 1019 | 2005 |
| Nearest-neighbor methods in learning and vision: theory and practice (neural information processing) G Shakhnarovich, T Darrell, P Indyk The MIT press, 2006 | 1006* | 2006 |
| Fast pose estimation with parameter-sensitive hashing G Shakhnarovich, P Viola, T Darrell null, 750, 2003 | 965 | 2003 |
| Gaussian process dynamical models for human motion JM Wang, DJ Fleet, A Hertzmann IEEE transactions on pattern analysis and machine intelligence 30 (2), 283-298, 2007 | 897* | 2007 |
| 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 | 864 | 2015 |
| Adversarial feature learning J Donahue, P Krähenbühl, T Darrell arXiv preprint arXiv:1605.09782, 2016 | 855 | 2016 |
| Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014 | 800 | 2014 |
| Learning to hash with binary reconstructive embeddings B Kulis, T Darrell Advances in neural information processing systems, 1042-1050, 2009 | 792 | 2009 |
