| Single-image crowd counting via multi-column convolutional neural network Y Zhang, D Zhou, S Chen, S Gao, Y Ma Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2093 | 2016 |
| Single sample face recognition via learning deep supervised autoencoders S Gao, Y Zhang, K Jia, J Lu, Y Zhang IEEE transactions on information forensics and security 10 (10), 2108-2118, 2015 | 258 | 2015 |
| Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection J Hou, Y Zhang, Q Zhong, D Xie, S Pu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021 | 119 | 2021 |
| Cascade region proposal and global context for deep object detection Q Zhong, C Li, Y Zhang, D Xie, S Yang, S Pu Neurocomputing 395, 170-177, 2020 | 60 | 2020 |
| Learning incremental triplet margin for person re-identification Y Zhang, Q Zhong, L Ma, D Xie, S Pu Proceedings of the AAAI conference on artificial intelligence 33 (01), 9243-9250, 2019 | 50 | 2019 |
| Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery X Guo, J Lao, B Dang, Y Zhang, L Yu, L Ru, L Zhong, Z Huang, K Wu, ... arXiv preprint arXiv:2312.10115, 2023 | 8 | 2023 |
| Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation J Lao, W Hong, X Guo, Y Zhang, J Wang, J Chen, W Chu Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2023 | 5 | 2023 |
| Associative affinity network learning for multi-object tracking L Ma, Q Zhong, Y Zhang, D Xie, S Pu Frontiers of Information Technology & Electronic Engineering 22 (9), 1194-1206, 2021 | 3 | 2021 |
| Transformer guided self-adaptive network for multi-scale skin lesion image segmentation C Xin, Z Liu, Y Ma, D Wang, J Zhang, L Li, Q Zhou, S Xu, Y Zhang Computers in Biology and Medicine, 2023 | | 2023 |
| KRNet: Towards Efficient Knowledge Replay Y Zhang, Q Zhong, D Xie, S Pu 2022 26th International Conference on Pattern Recognition (ICPR), 2022 | | 2022 |
