| 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 | 28 | 2020 |
| 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 | 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 | 21 | 2017 |
| 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 | 17 | 2022 |
| 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 | 16 | 2021 |
| 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 |
| 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 | 14 | 2020 |
| 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 | 13 | 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 | 13 | 2021 |
| 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 | 7 | 2021 |
| Neighborhood pyramid preserving hashing M Wang, W Zhou, Q Tian, H Li IEEE Transactions on Multimedia 22 (6), 1507-1518, 2019 | 6 | 2019 |
| 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 | 5 | 2022 |
| Hash Bit Selection With Reinforcement Learning for Image Retrieval X Yao, M Wang, W Zhou, H Li IEEE Transactions on Multimedia, 2022 | 5 | 2022 |
| Deep graph convolutional quantization networks for image retrieval M Wang, W Zhou, Q Tian, H Li IEEE Transactions on Multimedia, 2022 | 4 | 2022 |
| 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 |
| Sparse matrix based hashing for approximate nearest neighbor search M Wang, W Zhou, Q Tian, H Li Advances in Multimedia Information Processing-PCM 2016: 17th Pacific-Rim …, 2016 | 3 | 2016 |
| Weakly Supervised Hashing with Reconstructive Cross-modal Attention Y Du, M Wang, Z Lu, W Zhou, H Li ACM Transactions on Multimedia Computing, Communications and Applications, 2023 | 2 | 2023 |
| A General Rank Preserving Framework for Asymmetric Image Retrieval H Wu, M Wang, W Zhou, H Li The Eleventh International Conference on Learning Representations, 2022 | 1 | 2022 |
| Structure Similarity Preservation Learning for Asymmetric Image Retrieval H Wu, M Wang, W Zhou, H Li IEEE Transactions on Multimedia, 2023 | | 2023 |
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of ChinaVerified email at ustc.edu.cn
