| 3D convolutional neural networks for human action recognition S Ji, W Xu, M Yang, K Yu IEEE transactions on pattern analysis and machine intelligence 35 (1), 221-231, 2012 | 7311 | 2012 |
| 3D convolutional neural networks for human action recognition S Ji, W Xu, M Yang, K Yu Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010 | 7311 | 2010 |
| Bidirectional LSTM-CRF models for sequence tagging Z Huang, W Xu, K Yu arXiv preprint arXiv:1508.01991, 2015 | 5135 | 2015 |
| Document clustering based on non-negative matrix factorization W Xu, X Liu, Y Gong Proceedings of the 26th annual international ACM SIGIR conference on …, 2003 | 2619 | 2003 |
| Cnn-rnn: A unified framework for multi-label image classification J Wang, Y Yang, J Mao, Z Huang, C Huang, W Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1545 | 2016 |
| Deep captioning with multimodal recurrent neural networks (m-rnn) J Mao, W Xu, Y Yang, J Wang, Z Huang, A Yuille ICLR, 2014 | 1544 | 2014 |
| Video paragraph captioning using hierarchical recurrent neural networks H Yu, J Wang, Z Huang, Y Yang, W Xu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 722 | 2016 |
| Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question H Gao, J Mao, J Zhou, Z Huang, L Wang, W Xu Advances in Neural Information Processing Systems, 2287-2295, 2015 | 647 | 2015 |
| Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ... Proceedings of the IEEE international conference on computer vision, 2956-2964, 2015 | 511 | 2015 |
| Explain images with multimodal recurrent neural networks J Mao, W Xu, Y Yang, J Wang, AL Yuille NIPS 2014 Deep Learning and Representation Learning Workshop, 2014 | 501 | 2014 |
| End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks J Zhou, W Xu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 482 | 2015 |
| Human tracking using convolutional neural networks J Fan, W Xu, Y Wu, Y Gong IEEE Transactions on Neural Networks 21 (10), 1610-1623, 2010 | 440 | 2010 |
| ABC-CNN: An attention based convolutional neural network for visual question answering K Chen, J Wang, LC Chen, H Gao, W Xu, R Nevatia Computer Vision and Pattern Recognition Workshop, 2016 | 389 | 2016 |
| Soft edge smoothness prior for alpha channel super resolution S Dai, M Han, W Xu, Y Wu, Y Gong 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 354 | 2007 |
| Occlusion aware unsupervised learning of optical flow Y Wang, Y Yang, Z Yang, L Zhao, P Wang, W Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 351 | 2018 |
| Document clustering by concept factorization W Xu, Y Gong Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 340 | 2004 |
| Every pixel counts++: Joint learning of geometry and motion with 3d holistic understanding C Luo, Z Yang, P Wang, Y Wang, W Xu, R Nevatia, A Yuille IEEE transactions on pattern analysis and machine intelligence 42 (10), 2624 …, 2019 | 307 | 2019 |
| Multi-labelled classification using maximum entropy method S Zhu, X Ji, W Xu, Y Gong Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 303 | 2005 |
| Real-time driving danger level prediction J Wang, W Xu, Y Gong US Patent 7,839,292, 2010 | 263 | 2010 |
| Softcuts: a soft edge smoothness prior for color image super-resolution S Dai, M Han, W Xu, Y Wu, Y Gong, AK Katsaggelos IEEE Transactions on Image Processing 18 (5), 969-981, 2009 | 263 | 2009 |
