| Albert: A lite bert for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut ICLR 2020, 2020 | 3118 | 2020 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in neural information processing systems 27, 2014 | 330 | 2014 |
| Joint segmentation and classification of human actions in video M Hoai, ZZ Lan, F De la Torre CVPR 2011, 3265-3272, 2011 | 326 | 2011 |
| Beyond gaussian pyramid: Multi-skip feature stacking for action recognition Z Lan, M Lin, X Li, AG Hauptmann, B Raj Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015 | 311 | 2015 |
| Hidden two-stream convolutional networks for action recognition Y Zhu, Z Lan, S Newsam, A Hauptmann Asian conference on computer vision, 363-378, 2018 | 264 | 2018 |
| CLUE: A Chinese language understanding evaluation benchmark L Xu, H Hu, X Zhang, L Li, C Cao, Y Li, Y Xu, K Sun, D Yu, C Yu, Y Tian, ... arXiv preprint arXiv:2004.05986, 2020 | 112 | 2020 |
| Deep local video feature for action recognition Z Lan, Y Zhu, AG Hauptmann, S Newsam Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 110 | 2017 |
| Double fusion for multimedia event detection Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann International Conference on Multimedia Modeling, 173-185, 2012 | 92 | 2012 |
| Multimedia classification and event detection using double fusion Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Multimedia tools and applications 71 (1), 333-347, 2014 | 85 | 2014 |
| Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014 | 83 | 2014 |
| Guided optical flow learning Y Zhu, Z Lan, S Newsam, AG Hauptmann arXiv preprint arXiv:1702.02295, 2017 | 53 | 2017 |
| Training binary multilayer neural networks for image classification using expectation backpropagation Z Cheng, D Soudry, Z Mao, Z Lan arXiv preprint arXiv:1503.03562, 2015 | 51 | 2015 |
| Space-time robust representation for action recognition N Ballas, Y Yang, ZZ Lan, B Delezoide, F Preteux, A Hauptmann Proceedings of the IEEE International Conference on Computer Vision, 2704-2711, 2013 | 49 | 2013 |
| Extending semi-supervised learning methods for inductive transfer learning Y Shi, Z Lan, W Liu, W Bi 2009 Ninth IEEE international conference on data mining, 483-492, 2009 | 40 | 2009 |
| Informedia@ trecvid 2014 med and mer SI Yu, L Jiang, Z Mao, X Chang, X Du, C Gan, Z Lan, Z Xu, X Li, Y Cai, ... NIST TRECVID Video Retrieval Evaluation Workshop 24, 2014 | 38 | 2014 |
| Informedia@ trecvid 2011 L Bao, SI Yu, Z Lan, A Overwijk, Q Jin, B Langner, M Garbus, S Burger, ... Carnegie Mellon University, 2011 | 38 | 2011 |
| CMU-Informedia at TRECVID 2013 multimedia event detection ZZ Lan, L Jiang, SI Yu, S Rawat, Y Cai, C Gao, S Xu, H Shen, X Li, ... TRECVID 2013 Workshop 1 (2), 5, 2013 | 37 | 2013 |
| E-lamp: integration of innovative ideas for multimedia event detection W Tong, Y Yang, L Jiang, SI Yu, ZZ Lan, Z Ma, W Sze, E Younessian, ... Machine vision and applications 25 (1), 5-15, 2014 | 33 | 2014 |
| Do transformer modifications transfer across implementations and applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... arXiv preprint arXiv:2102.11972, 2021 | 26 | 2021 |
| Incremental multimodal query construction for video search S Xu, H Li, X Chang, SI Yu, X Du, X Li, L Jiang, Z Mao, Z Lan, S Burger, ... Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 22 | 2015 |
Alex HauptmannCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
