| Voxel set transformer: A set-to-set approach to 3d object detection from point clouds C He, R Li, S Li, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 137 | 2022 |
| A dual weighting label assignment scheme for object detection S Li, C He, R Li, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 86 | 2022 |
| Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation R Li, S Li, C He, Y Zhang, X Jia, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 77 | 2022 |
| Dynamic anchor feature selection for single-shot object detection S Li, L Yang, J Huang, XS Hua, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 69 | 2019 |
| Spatial feature calibration and temporal fusion for effective one-stage video instance segmentation M Li, S Li, L Li, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 63 | 2021 |
| LDFR: Learning deep feature representation for software defect prediction Z Xu, S Li, J Xu, J Liu, X Luo, Y Zhang, T Zhang, J Keung, Y Tang Journal of Systems and Software 158, 110402, 2019 | 60 | 2019 |
| Cross version defect prediction with representative data via sparse subset selection Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu Proceedings of the 26th Conference on program comprehension, 132-143, 2018 | 41 | 2018 |
| TSTSS: A two-stage training subset selection framework for cross version defect prediction Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung Journal of Systems and Software 154, 59-78, 2019 | 40 | 2019 |
| Category dictionary guided unsupervised domain adaptation for object detection S Li, J Huang, XS Hua, L Zhang Proceedings of the AAAI conference on artificial intelligence 35 (3), 1949-1957, 2021 | 38 | 2021 |
| HDA: Cross-project defect prediction via heterogeneous domain adaptation with dictionary learning Z Xu, P Yuan, T Zhang, Y Tang, S Li, Z Xia IEEE access 6, 57597-57613, 2018 | 38 | 2018 |
| Semi-supervised models are strong unsupervised domain adaptation learners Y Zhang, H Zhang, B Deng, S Li, K Jia, L Zhang arXiv preprint arXiv:2106.00417, 2021 | 28 | 2021 |
| Lst-net: Learning a convolutional neural network with a learnable sparse transform L Li, K Wang, S Li, X Feng, L Zhang European Conference on Computer Vision, 562-579, 2020 | 16 | 2020 |
| One-to-few label assignment for end-to-end dense detection S Li, M Li, R Li, C He, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 14 | 2023 |
| Seesr: Towards semantics-aware real-world image super-resolution R Wu, T Yang, L Sun, Z Zhang, S Li, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 11 | 2024 |
| Fpr: False positive rectification for weakly supervised semantic segmentation L Chen, C Lei, R Li, S Li, Z Zhang, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| DynaMask: dynamic mask selection for instance segmentation R Li, C He, S Li, Y Zhang, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Mdqe: Mining discriminative query embeddings to segment occluded instances on challenging videos M Li, S Li, W Xiang, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| NTIRE 2024 restore any image model (RAIM) in the wild challenge J Liang, R Timofte, Q Yi, S Liu, L Sun, R Wu, X Zhang, H Zeng, L Zhang arXiv preprint arXiv:2405.09923, 2024 | 6 | 2024 |
| Towards Black-box Attacks on Deep Learning Apps H Cao, S Li, Y Zhou, M Fan, X Zhao, Y Tang arXiv preprint arXiv:2107.12732, 2021 | 6 | 2021 |
| UniVS: Unified and Universal Video Segmentation with Prompts as Queries M Li, S Li, X Zhang, L Zhang arXiv preprint arXiv:2402.18115, 2024 | 5 | 2024 |
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic University在 comp.polyu.edu.hk 的电子邮件经过验证
