| Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks W Zhu, C Lan, J Xing, W Zeng, Y Li, L Shen, X Xie Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 506 | 2016 |
| Demystifying neural style transfer Y Li, N Wang, J Liu, X Hou International Joint Conference on Artificial Intelligence (IJCAI), 2017 | 259 | 2017 |
| Revisiting batch normalization for practical domain adaptation Y Li, N Wang, J Shi, J Liu, X Hou arXiv preprint arXiv:1603.04779, 2016 | 243 | 2016 |
| Scale-aware trident networks for object detection Y Li, Y Chen, N Wang, Z Zhang Proceedings of the IEEE international conference on computer vision, 6054-6063, 2019 | 228 | 2019 |
| Adaptive batch normalization for practical domain adaptation Y Li, N Wang, J Shi, X Hou, J Liu Pattern Recognition 80, 109-117, 2018 | 128 | 2018 |
| Online human action detection using joint classification-regression recurrent neural networks Y Li, C Lan, J Xing, W Zeng, C Yuan, J Liu European Conference on Computer Vision, 203-220, 2016 | 119 | 2016 |
| PKU-MMD: A large scale benchmark for skeleton-based human action understanding C Liu, Y Hu, Y Li, S Song, J Liu Proceedings of the Workshop on Visual Analysis in Smart and Connected …, 2017 | 99* | 2017 |
| Factorized bilinear models for image recognition Y Li, N Wang, J Liu, X Hou International Conference on Computer Vision (ICCV), 2017 | 91 | 2017 |
| Deep Joint Discriminative Learning for Vehicle Re-identification and Retrieval Y Li, Y Li, H Yan, J Liu Image Processing (ICIP), 2017 IEEE International Conference on, 2017 | 33 | 2017 |
| Multi-modality multi-task recurrent neural network for online action detection J Liu, Y Li, S Song, J Xing, C Lan, W Zeng IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2667-2682, 2018 | 27 | 2018 |
| Temporal bilinear networks for video action recognition Y Li, S Song, Y Li, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 33, 8674-8681, 2019 | 14 | 2019 |
| Neighborhood regression for edge-preserving image super-resolution Y Li, J Liu, W Yang, Z Guo 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 12 | 2015 |
| SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. Y Chen, C Han, Y Li, Z Huang, Y Jiang, N Wang, Z Zhang Journal of Machine Learning Research 20 (156), 1-8, 2019 | 11 | 2019 |
| EGO-TOPO: Environment Affordances from Egocentric Video T Nagarajan, Y Li, C Feichtenhofer, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 10 | 2020 |
| Online action detection and forecast via multitask deep recurrent neural networks C Liu, Y Li, Y Hu, J Liu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 10 | 2017 |
| Temporal Perceptive Network for Skeleton-Based Action Recognition Y Hu, C Liu, Y Li, S Song, J Liu British Machine Vision Conference (BMVC), 2017 | 7 | 2017 |
| Multi-pose face hallucination via neighbor embedding for facial components Y Li, J Liu, W Yang, Z Guo 2015 IEEE International Conference on Image Processing (ICIP), 4037-4041, 2015 | 6 | 2015 |
| Pyslowfast H Fan, Y Li, B Xiong, WY Lo, C Feichtenhofer | 5 | 2020 |
| Joint sub-band based neighbor embedding for image super-resolution S Song, Y Li, J Liu, Z Quo 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 5 | 2016 |
| Face hallucination based on neighbor embedding via illumination adaptation S Song, Y Li, Z Gao, J Liu 2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015 | 1 | 2015 |
Jiaying LiuAssociate Professor, Wangxuan Institute of Computer Technology, Peking UniversityEmail verificata su pku.edu.cn
