| Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning L Chen, H Zhang, J Xiao, L Nie, J Shao, W Liu, TS Chua Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 659 | 2017 |
| Attentional factorization machines: Learning the weight of feature interactions via attention networks J Xiao, H Ye, X He, H Zhang, F Wu, TS Chua arXiv preprint arXiv:1708.04617, 2017 | 246 | 2017 |
| On geometric features for skeleton-based action recognition using multilayer lstm networks S Zhang, X Liu, J Xiao 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 148-157, 2017 | 170 | 2017 |
| Zero-shot visual recognition using semantics-preserving adversarial embedding networks L Chen, H Zhang, J Xiao, W Liu, SF Chang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 116 | 2018 |
| Adaptive unsupervised multi-view feature selection for visual concept recognition Y Feng, J Xiao, Y Zhuang, X Liu Asian conference on computer vision, 343-357, 2012 | 88 | 2012 |
| Learning a 3D human pose distance metric from geometric pose descriptor C Chen, Y Zhuang, F Nie, Y Yang, F Wu, J Xiao IEEE Transactions on Visualization and Computer Graphics 17 (11), 1676-1689, 2010 | 73 | 2010 |
| Video question answering via gradually refined attention over appearance and motion D Xu, Z Zhao, J Xiao, F Wu, H Zhang, X He, Y Zhuang Proceedings of the 25th ACM international conference on Multimedia, 1645-1653, 2017 | 62 | 2017 |
| Self-supervised spatiotemporal learning via video clip order prediction D Xu, J Xiao, Z Zhao, J Shao, D Xie, Y Zhuang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 57 | 2019 |
| Fusing geometric features for skeleton-based action recognition using multilayer LSTM networks S Zhang, Y Yang, J Xiao, X Liu, Y Yang, D Xie, Y Zhuang IEEE Transactions on Multimedia 20 (9), 2330-2343, 2018 | 51 | 2018 |
| Exploiting temporal stability and low-rank structure for motion capture data refinement Y Feng, J Xiao, Y Zhuang, X Yang, JJ Zhang, R Song Information Sciences 277, 777-793, 2014 | 46 | 2014 |
| An efficient keyframe extraction from motion capture data J Xiao, Y Zhuang, T Yang, F Wu Computer Graphics International Conference, 494-501, 2006 | 40 | 2006 |
| Video question answering via attribute-augmented attention network learning Y Ye, Z Zhao, Y Li, L Chen, J Xiao, Y Zhuang Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 39 | 2017 |
| Self-Paced Boost Learning for Classification T Pi, X Li, Z Zhang, D Meng, F Wu, J Xiao, Y Zhuang IJCAI, 2016 | 38 | 2016 |
| Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising Y Feng, M Ji, J Xiao, X Yang, JJ Zhang, Y Zhuang, X Li IEEE Transactions on Cybernetics, 2015 | 36 | 2015 |
| Predicting missing markers in human motion capture using l1‐sparse representation J Xiao, Y Feng, W Hu Computer Animation and Virtual Worlds 22 (2‐3), 221-228, 2011 | 28 | 2011 |
| 基于关键帧的三维人体运动检索 潘红， 肖俊， 吴飞， 郭同强 計算機輔助設計與圖形學學報 21 (2), 214-222, 2009 | 27* | 2009 |
| Active post-refined multimodality video semantic concept detection with tensor representation Y Liu, F Wu, Y Zhuang, J Xiao Proceedings of the 16th ACM international conference on Multimedia, 91-100, 2008 | 27 | 2008 |
| 基于分层曲线简化的运动捕获数据关键帧提取 杨涛， 肖俊， 吴飞， 庄越挺 计算机辅助设计与图形学学报 18 (11), 1691-1697, 2006 | 27 | 2006 |
| Counterfactual critic multi-agent training for scene graph generation L Chen, H Zhang, J Xiao, X He, S Pu, SF Chang Proceedings of the IEEE International Conference on Computer Vision, 4613-4623, 2019 | 24 | 2019 |
| Sparse motion bases selection for human motion denoising J Xiao, Y Feng, M Ji, X Yang, JJ Zhang, Y Zhuang Signal Processing 110, 108-122, 2015 | 24 | 2015 |
Yueting ZhuangProfessor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
