| Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark X Wang, X Shu, Z Zhang, B Jiang, Y Wang, Y Tian, F Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 186 | 2021 |
| See finer, see more: Implicit modality alignment for text-based person retrieval X Shu, W Wen, H Wu, K Chen, Y Song, R Qiao, B Ren, X Wang European Conference on Computer Vision, 624-641, 2022 | 107 | 2022 |
| Large-scale spatio-temporal person re-identification: Algorithms and benchmark X Shu, X Wang, X Zang, S Zhang, Y Chen, G Li, Q Tian IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4390-4403, 2021 | 82 | 2021 |
| Semantic-guided pixel sampling for cloth-changing person re-identification X Shu, G Li, X Wang, W Ruan, Q Tian IEEE Signal Processing Letters 28, 1365-1369, 2021 | 75 | 2021 |
| Cellular network radio propagation modeling with deep convolutional neural networks X Zhang, X Shu, B Zhang, J Ren, L Zhou, X Chen Proceedings of the 26th ACM SIGKDD International Conference on knowledge …, 2020 | 66 | 2020 |
| Open-vocabulary multi-label classification via multi-modal knowledge transfer S He, T Guo, T Dai, R Qiao, X Shu, B Ren, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 808-816, 2023 | 48 | 2023 |
| MFGNet: Dynamic modality-aware filter generation for RGB-T tracking X Wang, X Shu, S Zhang, B Jiang, Y Wang, Y Tian, F Wu IEEE Transactions on Multimedia 25, 4335-4348, 2022 | 48 | 2022 |
| Learning to disentangle scenes for person re-identification X Zang, G Li, W Gao, X Shu Image and Vision Computing 116, 104330, 2021 | 42 | 2021 |
| Chaotic direct sequence spread spectrum for secure underwater acoustic communication X Shu, J Wang, H Wang, X Yang Applied Acoustics 104, 57-66, 2016 | 37 | 2016 |
| Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning N Li, JX Zhong, X Shu, H Guo Neurocomputing 481, 154-167, 2022 | 23 | 2022 |
| Exploiting robust unsupervised video person re‐identification X Zang, G Li, W Gao, X Shu IET Image Processing 16 (3), 729-741, 2022 | 23 | 2022 |
| Chaotic modulations and performance analysis for digital underwater acoustic communications X Shu, H Wang, X Yang, J Wang Applied Acoustics 105, 200-208, 2016 | 20 | 2016 |
| Predicting received signal strength in a telecommunication network using deep neural networks J Yang, X Zhang, J Ren, R Liu, X Chen, X Wang, Q Song, L Zhou, X Shu US Patent 10,555,192, 2020 | 19 | 2020 |
| VLMAE: Vision-language masked autoencoder S He, T Guo, T Dai, R Qiao, C Wu, X Shu, B Ren arXiv preprint arXiv:2208.09374, 2022 | 12 | 2022 |
| Diverse part attentive network for video-based person re-identification X Shu, G Li, L Wei, JX Zhong, X Zang, S Zhang, Y Wang, Y Liang, Q Tian Pattern Recognition Letters 149, 17-23, 2021 | 11 | 2021 |
| D3g: Exploring gaussian prior for temporal sentence grounding with glance annotation H Li, X Shu, S He, R Qiao, W Wen, T Guo, B Gan, X Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Collaborative noisy label cleaner: Learning scene-aware trailers for multi-modal highlight detection in movies B Gan, X Shu, R Qiao, H Wu, K Chen, H Li, B Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Newsnet: A novel dataset for hierarchical temporal segmentation H Wu, K Chen, H Liu, M Zhuge, B Li, R Qiao, X Shu, B Gan, L Xu, B Ren, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Underwater chaos-based DS-CDMA system X Shu, H Wang, J Wang 2015 IEEE International Conference on Signal Processing, Communications and …, 2015 | 7 | 2015 |
| Hyperspherical learning in multi-label classification B Ke, Y Zhu, M Li, X Shu, R Qiao, B Ren European Conference on Computer Vision, 38-55, 2022 | 6 | 2022 |
