| Multi-source distilling domain adaptation S Zhao, G Wang, S Zhang, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12975 …, 2020 | 213 | 2020 |
| Multi-source domain adaptation for semantic segmentation S Zhao, B Li, X Yue, Y Gu, P Xu, R Hu, H Chai, K Keutzer Advances in neural information processing systems 32, 2019 | 180 | 2019 |
| ROAM: Recurrently optimizing tracking model T Yang, P Xu, R Hu, H Chai, AB Chan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 149 | 2020 |
| Exploiting the complementary strengths of multi-layer CNN features for image retrieval W Yu, K Yang, H Yao, X Sun, P Xu Neurocomputing 237, 235-241, 2017 | 137 | 2017 |
| Multi-source domain adaptation in the deep learning era: A systematic survey S Zhao, B Li, P Xu, K Keutzer arXiv preprint arXiv:2002.12169, 2020 | 122 | 2020 |
| An end-to-end visual-audio attention network for emotion recognition in user-generated videos S Zhao, Y Ma, Y Gu, J Yang, T Xing, P Xu, R Hu, H Chai, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 303-311, 2020 | 105 | 2020 |
| epointda: An end-to-end simulation-to-real domain adaptation framework for lidar point cloud segmentation S Zhao, Y Wang, B Li, B Wu, Y Gao, P Xu, T Darrell, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3500-3509, 2021 | 76 | 2021 |
| Spatio-temporal contrastive domain adaptation for action recognition X Song, S Zhao, J Yang, H Yue, P Xu, R Hu, H Chai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 72 | 2021 |
| Madan: multi-source adversarial domain aggregation network for domain adaptation S Zhao, B Li, P Xu, X Yue, G Ding, K Keutzer International Journal of Computer Vision 129 (8), 2399-2424, 2021 | 59 | 2021 |
| Rethinking distributional matching based domain adaptation B Li, Y Wang, T Che, S Zhang, S Zhao, P Xu, W Zhou, Y Bengio, ... arXiv preprint arXiv:2006.13352, 2020 | 55 | 2020 |
| Video indexing and recommendation based on affective analysis of viewers S Zhao, H Yao, X Sun, P Xu, X Liu, R Ji Proceedings of the 19th ACM international conference on Multimedia, 1473-1476, 2011 | 50 | 2011 |
| Cycleemotiongan: Emotional semantic consistency preserved cyclegan for adapting image emotions S Zhao, C Lin, P Xu, S Zhao, Y Guo, R Krishna, G Ding, K Keutzer Proceedings of the AAAI conference on artificial intelligence 33 (01), 2620-2627, 2019 | 49 | 2019 |
| Nested-SIFT for efficient image matching and retrieval P Xu, L Zhang, K Yang, H Yao IEEE MultiMedia 20 (3), 34-46, 2013 | 46 | 2013 |
| Multi-source domain adaptation for object detection X Yao, S Zhao, P Xu, J Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 43 | 2021 |
| Flexible presentation of videos based on affective content analysis S Zhao, H Yao, X Sun, X Jiang, P Xu Advances in Multimedia Modeling: 19th International Conference, MMM 2013 …, 2013 | 40 | 2013 |
| Predicting discrete probability distribution of image emotions S Zhao, H Yao, X Jiang, X Sun 2015 IEEE International Conference on Image Processing (ICIP), 2459-2463, 2015 | 39 | 2015 |
| Directional correlation analysis of local Haar binary pattern for text detection R Ji, P Xu, H Yao, Z Zhang, X Sun, T Liu 2008 IEEE International Conference on Multimedia and Expo, 885-888, 2008 | 36 | 2008 |
| Cross-domain sentiment classification with contrastive learning and mutual information maximization T Li, X Chen, S Zhang, Z Dong, K Keutzer ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 34 | 2021 |
| Beyond particle flow: Bag of trajectory graphs for dense crowd event recognition Y Zhang, L Qin, H Yao, P Xu, Q Huang 2013 IEEE International Conference on Image Processing, 3572-3576, 2013 | 25 | 2013 |
| Saliency detection based on short-term sparse representation X Sun, H Yao, R Ji, P Xu, X Liu, S Liu 2010 IEEE International Conference on Image Processing, 1101-1104, 2010 | 24 | 2010 |
