| 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 | 5998 | 2014 |
| Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014 | 3083 | 2014 |
| Part-based R-CNNs for fine-grained category detection N Zhang, J Donahue, R Girshick, T Darrell Computer Vision–ECCV 2014, 2014 | 1472 | 2014 |
| Compact bilinear pooling Y Gao, O Beijbom, N Zhang, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1021 | 2016 |
| PANDA: Pose Aligned Networks for Deep Attribute Modeling N Zhang, M Paluri, MA Ranzato, T Darrell, L Bourdev CVPR 2014 and arXiv preprint arXiv:1311.5591, 2013 | 638 | 2013 |
| Deep reinforcement learning-based image captioning with embedding reward Z Ren, X Wang, N Zhang, X Lv, LJ Li Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 409 | 2017 |
| Do Convnets Learn Correspondence J Long, N Zhang, T Darrell NIPS 2014, 2014 | 388 | 2014 |
| Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction N Zhang, R Farrell, F Iandola, T Darrell International Conference on Computer Vision, ICCV, 2013 | 295 | 2013 |
| Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance R Farrell, O Oza, N Zhang, VI Morariu, T Darrell, LS Davis 2011 International Conference on Computer Vision, 161-168, 2011 | 277 | 2011 |
| Visual attention model for name tagging in multimodal social media D Lu, L Neves, V Carvalho, N Zhang, H Ji Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 225 | 2018 |
| Beyond frontal faces: Improving person recognition using multiple cues N Zhang, M Paluri, Y Taigman, R Fergus, L Bourdev Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 200 | 2015 |
| Pose pooling kernels for sub-category recognition N Zhang, R Farrell, T Darrell Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 181 | 2012 |
| Multi-view to novel view: Synthesizing novel views with self-learned confidence SH Sun, M Huh, YH Liao, N Zhang, JJ Lim Proceedings of the European Conference on Computer Vision (ECCV), 155-171, 2018 | 152 | 2018 |
| Deep domain confusion: Maximizing for domain invariance. arXiv 2014 E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2019 | 110 | 2019 |
| Open-vocabulary object retrieval S Guadarrama, R Erik, K Saenko, N Zhang, R Farrell, J Donahue, ... RSS 2014, 2014 | 92 | 2014 |
| Neural network for object detection in images W Han, J Yang, N Zhang, J Li US Patent 10,346,723, 2019 | 89 | 2019 |
| Fine-grained pose prediction, normalization, and recognition N Zhang, E Shelhamer, Y Gao, T Darrell arXiv preprint arXiv:1511.07063, 2015 | 76 | 2015 |
| Dynamic kernel distillation for efficient pose estimation in videos X Nie, Y Li, L Luo, N Zhang, J Feng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 71 | 2019 |
| Neural network for object detection in images W Han, J Yang, N Zhang, J Li US Patent 10,872,276, 2020 | 56 | 2020 |
| Laplace landmark localization JP Robinson, Y Li, N Zhang, Y Fu, S Tulyakov Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 52 | 2019 |
Trevor DarrellProfessor of Computer Science, U.C. Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
