| Graph embedding and extensions: A general framework for dimensionality reduction S Yan, D Xu, B Zhang, HJ Zhang, Q Yang, S Lin Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (1), 40-51, 2007 | 3656 | 2007 |
| Enhanced computer vision with microsoft kinect sensor: A review J Han, L Shao, D Xu, J Shotton IEEE transactions on cybernetics 43 (5), 1318-1334, 2013 | 2054 | 2013 |
| Spatio-temporal lstm with trust gates for 3d human action recognition J Liu, A Shahroudy, D Xu, G Wang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1627 | 2016 |
| Dvc: An end-to-end deep video compression framework G Lu, W Ouyang, D Xu, X Zhang, C Cai, Z Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 711 | 2019 |
| A siamese long short-term memory architecture for human re-identification RR Varior, B Shuai, J Lu, D Xu, G Wang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 703 | 2016 |
| Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey J Han, D Zhang, G Cheng, N Liu, D Xu IEEE Signal Processing Magazine 35 (1), 84-100, 2018 | 691 | 2018 |
| Generalized latent multi-view subspace clustering C Zhang, H Fu, Q Hu, X Cao, Y Xie, D Tao, D Xu IEEE transactions on pattern analysis and machine intelligence 42 (1), 86-99, 2018 | 637 | 2018 |
| Domain Transfer Multiple Kernel Learning L Duan, IW Tsang, D Xu Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (3), 465-479, 2012 | 616 | 2012 |
| Collaborative and Adversarial Network for Unsupervised domain adaptation W Zhang, W Ouyang, W Li, D Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 609 | 2018 |
| Skeleton-based action recognition using spatio-temporal LSTM network with trust gates J Liu, A Shahroudy, D Xu, AC Kot, G Wang IEEE transactions on pattern analysis and machine intelligence 40 (12), 3007 …, 2018 | 551 | 2018 |
| Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction F Nie, D Xu, IWH Tsang, C Zhang IEEE Transactions on Image Processing 19 (7), 1921-1932, 2010 | 550 | 2010 |
| Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation W Li, L Duan, D Xu, IW Tsang IEEE transactions on pattern analysis and machine intelligence 36 (6), 1134-1148, 2014 | 510 | 2014 |
| Visual event recognition in videos by learning from web data L Duan, D Xu, IWH Tsang, J Luo IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (9), 1667-1680, 2012 | 495 | 2012 |
| A multimedia retrieval framework based on semi-supervised ranking and relevance feedback Y Yang, F Nie, D Xu, J Luo, Y Zhuang, Y Pan IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (4), 723-742, 2012 | 463 | 2012 |
| Learning with Augmented Features for Heterogeneous Domain Adaptation L Duan, D Xu, I Tsang Arxiv preprint arXiv:1206.4660, 2012 | 443 | 2012 |
| Image clustering using local discriminant models and global integration Y Yang, D Xu, F Nie, S Yan, Y Zhuang IEEE Transactions on Image Processing 19 (10), 2761-2773, 2010 | 431 | 2010 |
| Trace ratio vs. ratio trace for dimensionality reduction H Wang, S Yan, D Xu, X Tang, T Huang 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 430 | 2007 |
| Multilinear discriminant analysis for face recognition S Yan, D Xu, Q Yang, L Zhang, X Tang, HJ Zhang IEEE Transactions on Image Processing 16 (1), 212-220, 2007 | 428 | 2007 |
| Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection G Cheng, J Han, P Zhou, D Xu IEEE Transactions on Image Processing 28 (1), 265-278, 2019 | 425 | 2019 |
| Domain adaptation from multiple sources via auxiliary classifiers L Duan, IW Tsang, D Xu, TS Chua Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 401 | 2009 |
Shuicheng Yan, Fellow of AAAI, ACM,...Kunlun 2050 Research & Skywork AI, previously Sea AI Lab, Singapore在 kunlun-inc.com 的电子邮件经过验证
