| Towards optimal structured cnn pruning via generative adversarial learning S Lin, R Ji, C Yan, B Zhang, L Cao, Q Ye, F Huang, D Doermann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 544 | 2019 |
| DSFD: dual shot face detector J Li, Y Wang, C Wang, Y Tai, J Qian, J Yang, C Wang, J Li, F Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 448 | 2019 |
| Curricularface: adaptive curriculum learning loss for deep face recognition Y Huang, Y Wang, Y Tai, X Liu, P Shen, S Li, J Li, F Huang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 416 | 2020 |
| Pyramidal person re-identification via multi-loss dynamic training F Zheng, C Deng, X Sun, X Jiang, X Guo, Z Yu, F Huang, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 402 | 2019 |
| Gradient descent with early stopping is provably robust to label noise for overparameterized neural networks M Li, M Soltanolkotabi, S Oymak International conference on artificial intelligence and statistics, 4313-4324, 2020 | 331 | 2020 |
| Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking J Peng, C Wang, F Wan, Y Wu, Y Wang, Y Tai, C Wang, J Li, F Huang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 303 | 2020 |
| Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. S Lin, R Ji, Y Li, Y Wu, F Huang, B Zhang IJCAI 2 (7), 8, 2018 | 253 | 2018 |
| Real-world super-resolution via kernel estimation and noise injection X Ji, Y Cao, Y Tai, C Wang, J Li, F Huang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 234 | 2020 |
| Unsupervised domain adaptation for face anti-spoofing H Li, W Li, H Cao, S Wang, F Huang, AC Kot IEEE Transactions on Information Forensics and Security 13 (7), 1794-1809, 2018 | 213 | 2018 |
| Dual-level collaborative transformer for image captioning Y Luo, J Ji, X Sun, L Cao, Y Wu, F Huang, CW Lin, R Ji Proceedings of the AAAI conference on artificial intelligence 35 (3), 2286-2293, 2021 | 204 | 2021 |
| Teinet: Towards an efficient architecture for video recognition Z Liu, D Luo, Y Wang, L Wang, Y Tai, C Wang, J Li, F Huang, T Lu Proceedings of the AAAI conference on artificial intelligence 34 (07), 11669 …, 2020 | 201 | 2020 |
| Cross-modality binary code learning via fusion similarity hashing H Liu, R Ji, Y Wu, F Huang, B Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 200 | 2017 |
| Attention convolutional binary neural tree for fine-grained visual categorization R Ji, L Wen, L Zhang, D Du, Y Wu, C Zhao, X Liu, F Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 180 | 2020 |
| Learning salient boundary feature for anchor-free temporal action localization C Lin, C Xu, D Luo, Y Wang, Y Tai, C Wang, J Li, F Huang, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 177 | 2021 |
| Fast learning of temporal action proposal via dense boundary generator C Lin, J Li, Y Wang, Y Tai, D Luo, Z Cui, C Wang, J Li, F Huang, R Ji Proceedings of the AAAI conference on artificial intelligence 34 (07), 11499 …, 2020 | 174 | 2020 |
| Rethinking counting and localization in crowds: A purely point-based framework Q Song, C Wang, Z Jiang, Y Wang, Y Tai, C Wang, J Li, F Huang, Y Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 167 | 2021 |
| Rstnet: Captioning with adaptive attention on visual and non-visual words X Zhang, X Sun, Y Luo, J Ji, Y Zhou, Y Wu, F Huang, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 164 | 2021 |
| Asymmetric co-teaching for unsupervised cross-domain person re-identification F Yang, K Li, Z Zhong, Z Luo, X Sun, H Cheng, X Guo, F Huang, R Ji, S Li Proceedings of the AAAI conference on artificial intelligence 34 (07), 12597 …, 2020 | 159 | 2020 |
| 精通 ASP 网络编程 武延军， 赵彬 人民邮电出版社, 2000 | 156 | 2000 |
| Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation L Liu, J Zhang, R He, Y Liu, Y Wang, Y Tai, D Luo, C Wang, J Li, F Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 143 | 2020 |
Rongrong Ji 纪荣嵘Professor, Xiamen UniversityVahvistettu sähköpostiosoite verkkotunnuksessa xmu.edu.cn
