| Second-order attention network for single image super-resolution T Dai, J Cai, Y Zhang, ST Xia, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1884 | 2019 |
| Mambair: A simple baseline for image restoration with state-space model H Guo, J Li, T Dai, Z Ouyang, X Ren, ST Xia European Conference on Computer Vision, 222-241, 2025 | 126 | 2025 |
| Fakd: Feature-affinity based knowledge distillation for efficient image super-resolution Z He, T Dai, J Lu, Y Jiang, ST Xia 2020 IEEE International Conference on Image Processing (ICIP), 518-522, 2020 | 98 | 2020 |
| Hilbert-based generative defense for adversarial examples Y Bai, Y Feng, Y Wang, T Dai, ST Xia, Y Jiang Proceedings of the IEEE/CVF International conference on computer vision …, 2019 | 59 | 2019 |
| Contrastive quantization with code memory for unsupervised image retrieval J Wang, Z Zeng, B Chen, T Dai, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2468-2476, 2022 | 49 | 2022 |
| Deep image prior based defense against adversarial examples T Dai, Y Feng, B Chen, J Lu, ST Xia Pattern Recognition 122, 108249, 2022 | 45 | 2022 |
| Adversarial attack on deep product quantization network for image retrieval Y Feng, B Chen, T Dai, ST Xia Proceedings of the AAAI conference on Artificial Intelligence 34 (07), 10786 …, 2020 | 45 | 2020 |
| Entropy-based bilateral filtering with a new range kernel T Dai, W Lu, W Wang, J Wang, ST Xia Signal Processing 137, 223-234, 2017 | 45 | 2017 |
| 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 | 43 | 2023 |
| Binary matrices for compressed sensing W Lu, T Dai, ST Xia IEEE Transactions on Signal Processing 66 (1), 77-85, 2017 | 43 | 2017 |
| Instance-aware dynamic prompt tuning for pre-trained point cloud models Y Zha, J Wang, T Dai, B Chen, Z Wang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 39 | 2023 |
| Unsupervised surface anomaly detection with diffusion probabilistic model X Zhang, N Li, J Li, T Dai, Y Jiang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 37 | 2023 |
| Sam: Self-attention based deep learning method for online traffic classification G Xie, Q Li, Y Jiang, T Dai, G Shen, R Li, R Sinnott, S Xia Proceedings of the Workshop on Network Meets AI & ML, 14-20, 2020 | 33 | 2020 |
| Toward effective image manipulation detection with proposal contrastive learning Y Zeng, B Zhao, S Qiu, T Dai, ST Xia IEEE Transactions on Circuits and Systems for Video Technology 33 (9), 4703-4714, 2023 | 27 | 2023 |
| AIM 2020 challenge on video extreme super-resolution: Methods and results D Fuoli, Z Huang, S Gu, R Timofte, A Raventos, A Esfandiari, S Karout, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 26 | 2020 |
| Image super-resolution via residual block attention networks T Dai, H Zha, Y Jiang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| Correlation-based structural dropout for convolutional neural networks Y Zeng, T Dai, B Chen, ST Xia, J Lu Pattern Recognition 120, 108117, 2021 | 23 | 2021 |
| Dpattack: Diffused patch attacks against universal object detection S Wu, T Dai, ST Xia arXiv preprint arXiv:2010.11679, 2020 | 23 | 2020 |
| Dipdefend: Deep image prior driven defense against adversarial examples T Dai, Y Feng, D Wu, B Chen, J Lu, Y Jiang, ST Xia Proceedings of the 28th ACM International Conference on Multimedia, 1404-1412, 2020 | 23 | 2020 |
| Student-t Process Regression with Student-t Likelihood Q Tang, L Niu, Y Wang, T Dai, W An, J Cai, ST Xia IJCAI 2017, 2017 | 23 | 2017 |
Shu-Tao XiaSIGS, Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
