| Distance-IoU loss: Faster and better learning for bounding box regression Z Zheng, P Wang, W Liu, J Li, R Ye, D Ren Proceedings of the AAAI conference on artificial intelligence 34 (07), 12993 …, 2020 | 4548 | 2020 |
| Enhancing geometric factors in model learning and inference for object detection and instance segmentation Z Zheng, P Wang, D Ren, W Liu, R Ye, Q Hu, W Zuo IEEE Transactions on Cybernetics, 2022 | 1125 | 2022 |
| Large selective kernel network for remote sensing object detection Y Li, Q Hou, Z Zheng, MM Cheng, J Yang, X Li IEEE/CVF International Conference on Computer Vision, 16794-16805, 2023 | 371 | 2023 |
| Localization distillation for dense object detection Z Zheng, R Ye, P Wang, D Ren, W Zuo, Q Hou, MM Cheng IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9407-9416, 2022 | 168 | 2022 |
| Localization Distillation for Object Detection Z Zheng, R Ye, Q Hou, D Ren, P Wang, W Zuo, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 62 | 2023 |
| CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection J Wang, Y Chen, Z Zheng, X Li, MM Cheng, Q Hou IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 | 43 | 2024 |
| Zone Evaluation: Revealing Spatial Bias in Object Detection Z Zheng, Y Chen, Q Hou, X Li, P Wang, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |
| Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection X Yuan, ZH Zheng, Y Li, X Liu, L Liu, X Li, Q Hou, MM Cheng arXiv preprint arXiv:2501.03775, 2025 | 1 | 2025 |
| Towards Spatial Equilibrium Object Detection Z Zheng, Y Chen, Q Hou, X Li, MM Cheng arXiv preprint arXiv:2301.05957, 2023 | 1 | 2023 |
| Efficient Multi-Level Learning for Dense Object Detection ZH Zheng, Y Chen, P Wang, L Zhang, X Li, Q Hou, MM Cheng | | |
| 定位蒸馏在稠密物体检测中的应用 Z Zheng, R Ye, P Wang, D Ren, W Zuo, Q Hou, MM Cheng | | |
Ye RongguangMaster in Mathematics , Tianjin UniversityEmail confirmado em tju.edu.cn
