Weakly Supervised Object Localization with Progressive Domain Adaptation D Li, JB Huang, Y Li, S Wang, MH Yang IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 242 | 2016 |
Dual super-resolution learning for semantic segmentation L Wang, D Li, Y Zhu, L Tian, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 190 | 2020 |
Dual cross-attention learning for fine-grained visual categorization and object re-identification H Zhu, W Ke, D Li, J Liu, L Tian, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 101 | 2022 |
Unsupervised Visual Representation Learning by Graph-based Consistent Constraints D Li, WC Hung, JB Huang, S Wang, N Ahuja, MH Yang European Conference on Computer Vision (ECCV), 2016 | 73 | 2016 |
Towards discriminative representation learning for unsupervised person re-identification T Isobe, D Li, L Tian, W Chen, Y Shan, S Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 71 | 2021 |
Cross-dataset collaborative learning for semantic segmentation in autonomous driving L Wang, D Li, H Liu, J Peng, L Tian, Y Shan Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2487-2494, 2022 | 29 | 2022 |
Improving low-precision network quantization via bin regularization T Han, D Li, J Liu, L Tian, Y Shan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
Dynamic sparse r-cnn Q Hong, F Liu, D Li, J Liu, L Tian, Y Shan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 24 | 2022 |
Progressive representation adaptation for weakly supervised object localization D Li, JB Huang, Y Li, S Wang, MH Yang IEEE transactions on pattern analysis and machine intelligence 42 (6), 1424-1438, 2019 | 20 | 2019 |
Progressface: Scale-aware progressive learning for face detection J Zhu, D Li, T Han, L Tian, Y Shan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 19 | 2020 |
Rankdetnet: Delving into ranking constraints for object detection J Liu, D Li, R Zheng, L Tian, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
XVDPU: A High-Performance CNN Accelerator on the Versal Platform Powered by the AI Engine X Jia, Y Zhang, G Liu, X Yang, T Zhang, J Zheng, D Xu, Z Liu, M Liu, ... ACM Transactions on Reconfigurable Technology and Systems 17 (2), 1-24, 2024 | 15 | 2024 |
Learning structured semantic embeddings for visual recognition D Li, HY Lee, JB Huang, S Wang, MH Yang arXiv preprint arXiv:1706.01237, 2017 | 9 | 2017 |
Object detection in image with complex background L Dong, L Yali, H Fei, W Shengjin 3rd International Conference on Multimedia Technology (ICMT-13), 471-478, 2013 | 9 | 2013 |
A-u3d: A unified 2d/3d cnn accelerator on the versal platform for disparity estimation T Zhang, D Li, H Wang, Y Li, X Ma, W Luo, Y Wang, Y Huang, Y Li, ... 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | 5 | 2022 |
Dual cross-attention learning for fine-grained visual categorization and object re-identification. In 2022 IEEE H Zhu, W Ke, D Li, J Liu, L Tian, Y Shan CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4682-4692, 2022 | 5 | 2022 |
Efficient image super-resolution with collapsible linear blocks L Wang, D Li, L Tian, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
MTNAS: search multi-task networks for autonomous driving H Liu, D Li, JZ Peng, Q Zhao, L Tian, Y Shan Proceedings of the Asian Conference on Computer Vision, 2020 | 4 | 2020 |
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer J Liu, D Tang, Y Huang, L Zhang, X Zeng, D Li, M Lu, J Peng, Y Wang, ... arXiv preprint arXiv:2401.06426, 2024 | 1 | 2024 |
Selective Parts for Fine-grained Recognition D Li, Y Li, S Wang IEEE International Conference on Image Processing, 2015 | 1 | 2015 |