| 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 | 1193 | 2019 |
| 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 | 48 | 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 | 44 | 2019 |
| 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 | 41 | 2017 |
| Binary matrices for compressed sensing W Lu, T Dai, ST Xia IEEE Transactions on Signal Processing 66 (1), 77-85, 2017 | 33 | 2017 |
| 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 | 29 | 2020 |
| Deep image prior based defense against adversarial examples T Dai, Y Feng, B Chen, J Lu, ST Xia Pattern Recognition 122, 108249, 2022 | 19 | 2022 |
| 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 | 19 | 2020 |
| PMPA: A patch-based multiscale products algorithm for image denoising T Dai, CB Song, JP Zhang, ST Xia International Conference on Image Processing (ICIP), 4406 - 4410, 2015 | 19 | 2015 |
| Referenceless quality metric of multiply-distorted images based on structural degradation T Dai, K Gu, L Niu, Y Zhang, W Lu, ST Xia Neurocomputing 290, 185-195, 2018 | 18 | 2018 |
| 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 | 17 | 2020 |
| Deterministic constructions of binary measurement matrices with various sizes XJ Liu, ST Xia, T Dai Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015 | 17 | 2015 |
| 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 | 13 | 2019 |
| Correlation-based structural dropout for convolutional neural networks Y Zeng, T Dai, B Chen, ST Xia, J Lu Pattern Recognition 120, 108117, 2021 | 12 | 2021 |
| Dpattack: Diffused patch attacks against universal object detection S Wu, T Dai, ST Xia arXiv preprint arXiv:2010.11679, 2020 | 12 | 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 | 12 | 2020 |
| Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels STX Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing 2018 25th IEEE International Conference on Image Processing (ICIP), 2018 | 11 | 2018 |
| Color image noise covariance estimation with cross-channel image noise modeling L Dong, J Zhou, T Dai 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 11 | 2018 |
| A generic denoising framework via guided principal component analysis T Dai, Z Xu, H Liang, K Gu, Q Tang, Y Wang, W Lu, ST Xia Journal of Visual Communication and Image Representation 48, 340-352, 2017 | 11 | 2017 |
| 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 | 11 | 2017 |
Shu-Tao XiaTsinghua University在 sz.tsinghua.edu.cn 的电子邮件经过验证
