Recurrent squeeze-and-excitation context aggregation net for single image deraining X Li, J Wu, Z Lin, H Liu, H Zha Proceedings of the European conference on computer vision (ECCV), 254-269, 2018 | 921 | 2018 |
Enhanced skeleton visualization for view invariant human action recognition M Liu, H Liu, C Chen Pattern Recognition 68, 346-362, 2017 | 852 | 2017 |
Expectation-maximization attention networks for semantic segmentation X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 680 | 2019 |
Attention-guided CNN for image denoising C Tian, Y Xu, Z Li, W Zuo, L Fei, H Liu Neural Networks 124, 117-129, 2020 | 540 | 2020 |
Structured attention guided convolutional neural fields for monocular depth estimation D Xu, W Wang, H Tang, H Liu, N Sebe, E Ricci Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 379 | 2018 |
Transformer for single image super-resolution Z Lu, J Li, H Liu, C Huang, L Zhang, T Zeng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 376 | 2022 |
Incomplete multiview spectral clustering with adaptive graph learning J Wen, Y Xu, H Liu IEEE transactions on cybernetics 50 (4), 1418-1429, 2018 | 316 | 2018 |
TDD‐net: a tiny defect detection network for printed circuit boards R Ding, L Dai, G Li, H Liu CAAI Transactions on Intelligence Technology 4 (2), 110-116, 2019 | 313 | 2019 |
Mhformer: Multi-hypothesis transformer for 3d human pose estimation W Li, H Liu, H Tang, P Wang, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 297 | 2022 |
Violence detection using oriented violent flows Y Gao, H Liu, X Sun, C Wang, Y Liu Image and vision computing 48, 37-41, 2016 | 296 | 2016 |
Exploiting temporal contexts with strided transformer for 3d human pose estimation W Li, H Liu, R Ding, M Liu, P Wang, W Yang IEEE Transactions on Multimedia 25, 1282-1293, 2022 | 239* | 2022 |
Multi-scale spatial temporal graph convolutional network for skeleton-based action recognition Z Chen, S Li, B Yang, Q Li, H Liu Proceedings of the AAAI conference on artificial intelligence 35 (2), 1113-1122, 2021 | 239 | 2021 |
Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks H Tang, H Liu, D Xu, PHS Torr, N Sebe IEEE transactions on neural networks and learning systems 34 (4), 1972-1987, 2021 | 235 | 2021 |
Unified embedding alignment with missing views inferring for incomplete multi-view clustering J Wen, Z Zhang, Y Xu, B Zhang, L Fei, H Liu Proceedings of the AAAI conference on artificial intelligence 33 (01), 5393-5400, 2019 | 211 | 2019 |
Spatial pyramid based graph reasoning for semantic segmentation X Li, Y Yang, Q Zhao, T Shen, Z Lin, H Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 209 | 2020 |
Using the original and ‘symmetrical face’training samples to perform representation based two-step face recognition Y Xu, X Zhu, Z Li, G Liu, Y Lu, H Liu Pattern recognition 46 (4), 1151-1158, 2013 | 201 | 2013 |
Two-stream 3d convolutional neural network for skeleton-based action recognition H Liu, J Tu, M Liu arXiv preprint arXiv:1705.08106, 2017 | 188 | 2017 |
Coarse to fine K nearest neighbor classifier Y Xu, Q Zhu, Z Fan, M Qiu, Y Chen, H Liu Pattern recognition letters 34 (9), 980-986, 2013 | 167 | 2013 |
A survey on 3d skeleton-based action recognition using learning method B Ren, M Liu, R Ding, H Liu Cyborg and Bionic Systems 5, 0100, 2024 | 165 | 2024 |
Data uncertainty in face recognition Y Xu, X Fang, X Li, J Yang, J You, H Liu, S Teng IEEE transactions on cybernetics 44 (10), 1950-1961, 2014 | 164 | 2014 |