| A^ 2-nets: Double attention networks Y Chen, Y Kalantidis, J Li, S Yan, J Feng Advances in neural information processing systems 31, 2018 | 383 | 2018 |
| Multi-fiber networks for video recognition Y Chen, Y Kalantidis, J Li, S Yan, J Feng Proceedings of the european conference on computer vision (ECCV), 352-367, 2018 | 185 | 2018 |
| Towards pose invariant face recognition in the wild J Zhao, Y Cheng, Y Xu, L Xiong, J Li, F Zhao, K Jayashree, S Pranata, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 181 | 2018 |
| Dual-agent gans for photorealistic and identity preserving profile face synthesis J Zhao, L Xiong, P Karlekar Jayashree, J Li, F Zhao, Z Wang, ... Advances in neural information processing systems 30, 2017 | 144 | 2017 |
| Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for multi-human parsing J Zhao, J Li, Y Cheng, T Sim, S Yan, J Feng Proceedings of the 26th ACM international conference on Multimedia, 792-800, 2018 | 107 | 2018 |
| 3d-aided dual-agent gans for unconstrained face recognition J Zhao, L Xiong, J Li, J Xing, S Yan, J Feng IEEE transactions on pattern analysis and machine intelligence 41 (10), 2380 …, 2018 | 82 | 2018 |
| Look across elapse: Disentangled representation learning and photorealistic cross-age face synthesis for age-invariant face recognition J Zhao, Y Cheng, Y Cheng, Y Yang, F Zhao, J Li, H Liu, S Yan, J Feng Proceedings of the AAAI conference on artificial intelligence 33 (01), 9251-9258, 2019 | 72 | 2019 |
| Towards Real World Human Parsing: Multiple-Human Parsing in the Wild J Li, J Zhao, Y Wei, C Lang, Y Li, J Feng http://arxiv.org/abs/1705.07206, 2017 | 69* | 2017 |
| 3D-Aided Deep Pose-Invariant Face Recognition. J Zhao, L Xiong, Y Cheng, Y Cheng, J Li, L Zhou, Y Xu, J Karlekar, ... IJCAI 2 (3), 11, 2018 | 60 | 2018 |
| Recursive identification of time-varying systems: Self-tuning and matrix RLS algorithms J Li, Y Zheng, Z Lin Systems & Control Letters 66, 104-110, 2014 | 56 | 2014 |
| Self-supervised neural aggregation networks for human parsing J Zhao, J Li, X Nie, F Zhao, Y Chen, Z Wang, J Feng, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 55 | 2017 |
| Weakly supervised phrase localization with multi-scale anchored transformer network F Zhao, J Li, J Zhao, J Feng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 47 | 2018 |
| Happiness level prediction with sequential inputs via multiple regressions J Li, S Roy, J Feng, T Sim Proceedings of the 18th ACM International Conference on Multimodal …, 2016 | 46 | 2016 |
| Multistage object detection with group recursive learning J Li, X Liang, J Li, Y Wei, T Xu, J Feng, S Yan IEEE Transactions on Multimedia 20 (7), 1645-1655, 2017 | 44 | 2017 |
| Learning generalizable and identity-discriminative representations for face anti-spoofing X Tu, Z Ma, J Zhao, G Du, M Xie, J Feng ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-19, 2020 | 42 | 2020 |
| Multi-prototype networks for unconstrained set-based face recognition J Zhao, J Li, X Tu, F Zhao, Y Xin, J Xing, H Liu, S Yan, J Feng arXiv preprint arXiv:1902.04755, 2019 | 41 | 2019 |
| Robust face recognition with deep multi-view representation learning J Li, J Zhao, F Zhao, H Liu, J Li, S Shen, J Feng, T Sim Proceedings of the 24th ACM international conference on Multimedia, 1068-1072, 2016 | 34 | 2016 |
| Deep face beautification J Li, C Xiong, L Liu, X Shu, S Yan Proceedings of the 23rd ACM international conference on Multimedia, 793-794, 2015 | 32 | 2015 |
| Deep attribute-preserving metric learning for natural language object retrieval J Li, Y Wei, X Liang, F Zhao, J Li, T Xu, J Feng Proceedings of the 25th ACM international conference on Multimedia, 181-189, 2017 | 22 | 2017 |
| Landmark free face attribute prediction J Li, F Zhao, J Feng, S Roy, S Yan, T Sim IEEE Transactions on Image Processing 27 (9), 4651-4662, 2018 | 21 | 2018 |
Jiashi FengByteDance Inc.Verified email at bytedance.com
