| Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. W Liu, W Luo, Z Li, P Zhao, S Gao IJCAI 3, 023-3, 2019 | 124 | 2019 |
| PPGNet: Learning Point-Pair Graph for Line Segment Detection S Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang ... CVPR 2019, 7105-7114, 2019 | 96* | 2019 |
| Crowd counting with partial annotations in an image Y Xu, Z Zhong, D Lian, J Li, Z Li, X Xu, S Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 48 | 2021 |
| Transrac: Encoding multi-scale temporal correlation with transformers for repetitive action counting H Hu, S Dong, Y Zhao, D Lian, Z Li, S Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 46 | 2022 |
| Proxy-bridged image reconstruction network for anomaly detection in medical images K Zhou, J Li, W Luo, Z Li, J Yang, H Fu, J Cheng, J Liu, S Gao IEEE Transactions on Medical Imaging 41 (3), 582-594, 2021 | 29 | 2021 |
| Visualisation and determination of the geometrical parameters of slub yarn J Liu, Z Li, Y Lu, H Jiang Fibres & Textiles in Eastern Europe 18 (1), 78, 2010 | 27 | 2010 |
| Automatic assessment of fabric smoothness appearance based on a compact convolutional neural network with label smoothing J Wang, K Shi, L Wang, Z Li, F Sun, R Pan, W Gao IEEE Access 8, 26966-26974, 2020 | 14 | 2020 |
| The power of visual texture in aesthetic perception: An exploration of the predictability of perceived aesthetic emotions J Liu, E Lughofer, X Zeng, Z Li Computational Intelligence and Neuroscience 2018 (1), 1812980, 2018 | 13 | 2018 |
| An objective fabric smoothness assessment method based on a multi-scale spatial masking model J Wang, K Shi, L Wang, Z Li, R Pan, W Gao Ieee Access 7, 73830-73840, 2019 | 11 | 2019 |
| Decoloration of multi-color fabric images for fabric appearance smoothness evaluation by supervised image-to-image translation J Wang, K Shi, L Wang, Z Li, R Pan, W Gao IEEE Access 7, 181284-181294, 2019 | 7 | 2019 |
| Fabric defect segmentation by bidimensional empirical mode decomposition Z Li, J Liu, J Liu, W Gao Textile Research Journal 84 (7), 704-713, 2014 | 6 | 2014 |
| Tsp-transformer: Task-specific prompts boosted transformer for holistic scene understanding S Wang, J Li, Z Zhao, D Lian, B Huang, X Wang, Z Li, S Gao Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| Fusing convolutional neural network features with hand-crafted features for objective fabric smoothness appearance assessment J Wang, K Shi, L Wang, Z Li, F Sun, R Pan, W Gao IEEE Access 8, 110678-110692, 2020 | 2 | 2020 |
| Scale-Adaptive CNN Based Crowd Counting and Dynamic Supervision Z Li, J Li, L Xie, J Liu 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | | 2019 |
Shenghua GaoThe University of Hong Kong在 hku.hk 的电子邮件经过验证
