| Deep relation embedding for cross-modal retrieval Y Zhang, W Zhou, M Wang, Q Tian, H Li IEEE Transactions on Image Processing 30, 617-627, 2020 | 38 | 2020 |
| Contextual similarity distillation for asymmetric image retrieval H Wu, M Wang, W Zhou, H Li, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Learning deep local features with multiple dynamic attentions for large-scale image retrieval H Wu, M Wang, W Zhou, H Li Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 28 | 2021 |
| Cross-modal joint prediction and alignment for composed query image retrieval Y Yang, M Wang, W Zhou, H Li Proceedings of the 29th ACM International Conference on Multimedia, 3303-3311, 2021 | 22 | 2021 |
| A general framework for linear distance preserving hashing M Wang, W Zhou, Q Tian, H Li IEEE Transactions on Image Processing 27 (2), 907-922, 2017 | 22 | 2017 |
| Learning token-based representation for image retrieval H Wu, M Wang, W Zhou, Y Hu, H Li Proceedings of the AAAI conference on artificial intelligence 36 (3), 2703-2711, 2022 | 20 | 2022 |
| Contextual similarity aggregation with self-attention for visual re-ranking J Ouyang, H Wu, M Wang, W Zhou, H Li Advances in Neural Information Processing Systems 34, 3135-3148, 2021 | 19 | 2021 |
| Cmt: Context-matching-guided transformer for 3d tracking in point clouds Z Guo, Y Mao, W Zhou, M Wang, H Li European Conference on Computer Vision, 95-111, 2022 | 15 | 2022 |
| Collaborative image relevance learning for visual re-ranking J Ouyang, W Zhou, M Wang, Q Tian, H Li IEEE Transactions on Multimedia 23, 3646-3656, 2020 | 15 | 2020 |
| Linear distance preserving pseudo-supervised and unsupervised hashing M Wang, W Zhou, Q Tian, Z Zha, H Li Proceedings of the 24th ACM international conference on Multimedia, 1257-1266, 2016 | 15 | 2016 |
| HandNeRF: Neural radiance fields for animatable interacting hands Z Guo, W Zhou, M Wang, L Li, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Deep supervised quantization by self-organizing map M Wang, W Zhou, Q Tian, J Pu, H Li Proceedings of the 25th ACM international conference on Multimedia, 1707-1715, 2017 | 13 | 2017 |
| Deep enhanced weakly-supervised hashing with iterative tag refinement M Wang, W Zhou, Q Tian, H Li IEEE Transactions on Multimedia 24, 2779-2790, 2021 | 12 | 2021 |
| Hash bit selection with reinforcement learning for image retrieval X Yao, M Wang, W Zhou, H Li IEEE Transactions on Multimedia 25, 6678-6687, 2022 | 10 | 2022 |
| Deep graph convolutional quantization networks for image retrieval M Wang, W Zhou, Q Tian, H Li IEEE Transactions on Multimedia 25, 2164-2175, 2022 | 10 | 2022 |
| Neighborhood pyramid preserving hashing M Wang, W Zhou, Q Tian, H Li IEEE Transactions on Multimedia 22 (6), 1507-1518, 2019 | 6 | 2019 |
| Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction Z Guo, W Zhou, L Li, M Wang, H Li arXiv preprint arXiv:2403.11447, 2024 | 4 | 2024 |
| Asymmetric feature fusion for image retrieval H Wu, M Wang, W Zhou, Z Lu, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Deep scalable supervised quantization by self-organizing map M Wang, W Zhou, Q Tian, H Li ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 4 | 2019 |
| A General Rank Preserving Framework for Asymmetric Image Retrieval H Wu, M Wang, W Zhou, H Li The Eleventh International Conference on Learning Representations, 2023 | 3 | 2023 |
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of ChinaVerified email at ustc.edu.cn
