Shift-Net: Image Inpainting via Deep Feature Rearrangement Z Yan, X Li, M Li, W Zuo, S Shan Proceedings of the European Conference on Computer Vision (ECCV), 1-17, 2018 | 574 | 2018 |
Learning convolutional networks for content-weighted image compression M Li, W Zuo, S Gu, D Zhao, D Zhang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3214-3223, 2018 | 475 | 2018 |
Deep identity-aware transfer of facial attributes M Li, W Zuo, D Zhang arXiv preprint arXiv:1610.05586, 2016 | 173 | 2016 |
Efficient and effective context-based convolutional entropy modeling for image compression M Li, K Ma, J You, D Zhang, W Zuo IEEE Transactions on Image Processing 29, 5900-5911, 2020 | 79 | 2020 |
Learning content-weighted deep image compression M Li, W Zuo, S Gu, J You, D Zhang IEEE transactions on pattern analysis and machine intelligence 43 (10), 3446 …, 2020 | 75 | 2020 |
Convolutional network for attribute-driven and identity-preserving human face generation M Li, W Zuo, D Zhang arXiv preprint arXiv:1608.06434, 2016 | 58 | 2016 |
Learning context-based nonlocal entropy modeling for image compression M Li, K Zhang, J Li, W Zuo, R Timofte, D Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (3), 1132-1145, 2021 | 35 | 2021 |
Similarity and diversity induced paired projection for cross-modal retrieval J Li, M Li, G Lu, B Zhang, H Yin, D Zhang Information Sciences 539, 215-228, 2020 | 18 | 2020 |
Joint distance and similarity measure learning based on triplet-based constraints M Li, Q Wang, D Zhang, P Li, W Zuo Information Sciences 406, 119-132, 2017 | 12 | 2017 |
End-to-end optimized 360° image compression M Li, J Li, S Gu, F Wu, D Zhang IEEE Transactions on Image Processing 31, 6267-6281, 2022 | 11 | 2022 |
Efficient trimmed convolutional arithmetic encoding for lossless image compression M Li, S Gu, D Zhang, W Zuo arXiv preprint arXiv:1801.04662, 107-120, 2018 | 11 | 2018 |
From global to local: Multi-patch and multi-scale contrastive similarity learning for unsupervised defocus blur detection J Li, B Liang, X Lu, M Li, G Lu, Y Xu IEEE Transactions on Image Processing 32, 1158-1169, 2023 | 10 | 2023 |
Online multi-view subspace learning with mixed noise J Li, H Yong, F Wu, M Li Proceedings of the 28th ACM International Conference on Multimedia, 3838-3846, 2020 | 9 | 2020 |
Pseudocylindrical convolutions for learned omnidirectional image compression M Li, K Ma, J Li, D Zhang arXiv preprint arXiv:2112.13227, 2021 | 6 | 2021 |
ISFB-GAN: Interpretable semantic face beautification with generative adversarial network T Peng, M Li, F Chen, Y Xu, Y Xie, Y Sun, D Zhang Expert Systems with Applications 236, 121131, 2024 | 5 | 2024 |
Learning efficient facial landmark model for human attractiveness analysis T Peng, M Li, F Chen, Y Xu, D Zhang Pattern Recognition 138, 109370, 2023 | 5 | 2023 |
Enlarging context with low cost: Efficient arithmetic coding with trimmed convolution M Li, S Gu, D Zhang, W Zuo arXiv preprint arXiv:1801.04662, 2018 | 5 | 2018 |
Modular Blind Video Quality Assessment W Wen, M Li, Y Zhang, Y Liao, J Li, L Zhang, K Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
Metric learning with relative distance constraints: A modified svm approach C Luo, M Li, H Zhang, F Wang, D Zhang, W Zuo Intelligent Computation in Big Data Era: International Conference of Young …, 2015 | 4 | 2015 |
Multi-view Instance Attention Fusion Network for classification J Li, C Zhou, X Ji, M Li, G Lu, Y Xu, D Zhang Information Fusion 101, 101974, 2024 | 3 | 2024 |