| 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 | 790 | 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 | 38 | 2017 |
| 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 | 31 | 2019 |
| Binary matrices for compressed sensing W Lu, T Dai, ST Xia IEEE Transactions on Signal Processing 66 (1), 77-85, 2017 | 25 | 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 | 22 | 2020 |
| 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 | 20 | 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 |
| 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, ... European conference on computer vision, 57-81, 2020 | 17 | 2020 |
| 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 | 16 | 2018 |
| 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 | 16 | 2015 |
| 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 |
| 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 | 10 | 2019 |
| 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 | 9 | 2018 |
| Characterization of the interface of an alloy 625 overlay on steels using nanoindentation T Dai, J Lippold Journal of Materials Engineering and Performance 27 (7), 3411-3418, 2018 | 9 | 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 | 8 | 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 | 8 | 2018 |
| 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 | 8 | 2017 |
| Correlation-based structural dropout for convolutional neural networks Y Zeng, T Dai, B Chen, ST Xia, J Lu Pattern Recognition 120, 108117, 2021 | 7 | 2021 |
| Mitigating bufferbloat with receiver-based TCP flow control mechanism in cellular networks X Liu, F Ren, R Shu, T Zhang, T Dai, K Sha, A Striegel, M Song Advances in Computer Communications and Networks: From Green, Mobile …, 2016 | 7 | 2016 |
| Dpattack: Diffused patch attacks against universal object detection S Wu, T Dai, ST Xia arXiv preprint arXiv:2010.11679, 2020 | 6 | 2020 |
Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
