| Deep learning-based video coding: A review and a case study D Liu, Y Li, J Lin, H Li, F Wu ACM Computing Surveys (CSUR) 53 (1), 1-35, 2020 | 204 | 2020 |
| Convolutional neural network-based block up-sampling for intra frame coding Y Li, D Liu, H Li, L Li, F Wu, H Zhang, H Yang IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2316-2330, 2017 | 186 | 2017 |
| Learning a convolutional neural network for image compact-resolution Y Li, D Liu, H Li, L Li, Z Li, F Wu IEEE Transactions on Image Processing 28 (3), 1092-1107, 2018 | 164 | 2018 |
| Improving extreme low-light image denoising via residual learning P Maharjan, L Li, Z Li, N Xu, C Ma, Y Li 2019 IEEE international conference on multimedia and expo (ICME), 916-921, 2019 | 59 | 2019 |
| A hybrid neural network for chroma intra prediction Y Li, L Li, Z Li, J Yang, N Xu, D Liu, H Li 2018 25th IEEE International Conference on Image Processing (ICIP), 1797-1801, 2018 | 39 | 2018 |
| Multiple linear regression for high efficiency video intra coding Z Zhang, Y Li, L Li, Z Li, S Liu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 31 | 2019 |
| Convolutional neural network based in-loop filter for VVC intra coding Y Li, L Zhang, K Zhang 2021 IEEE International Conference on Image Processing (ICIP), 2104-2108, 2021 | 19 | 2021 |
| iDAM: Iteratively trained deep in-loop filter with adaptive model selection Y Li, L Zhang, K Zhang ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 18 | 2023 |
| Cnn-based super resolution for video coding using decoded information C Lin, Y Li, K Zhang, Z Zhang, L Zhang 2021 International Conference on Visual Communications and Image Processing …, 2021 | 13 | 2021 |
| Gradient image super-resolution for low-resolution image recognition DF Noor, Y Li, Z Li, S Bhattacharyya, G York ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 13 | 2019 |
| Neural-network-based cross-channel intra prediction Y Li, Y Yi, D Liu, L Li, Z Li, H Li ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 9 | 2021 |
| AHG11: Convolutional neural networks-based in-loop filter Y Li, L Zhang, K Zhang, Y He, J Xu Doc. JVET-T0088, Joint Video Exploration Team (JVET), 2020 | 8 | 2020 |
| Transform skip inspired end-to-end compression for screen content image M Wang, K Zhang, L Zhang, Y Wu, Y Li, J Li, S Wang 2022 IEEE International Conference on Image Processing (ICIP), 3848-3852, 2022 | 7 | 2022 |
| Invertible single image rescaling via steganography M Guo, S Zhao, Y Li, J Li, L Zhang, Y Wang 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 7 | 2022 |
| A smart reference picture resampling approach for VVC T Fu, K Zhang, Y Li, L Zhang, S Wang, S Ma 2022 Data Compression Conference (DCC), 33-42, 2022 | 6 | 2022 |
| Ahg11: Convolutional neural network-based in-loop filter with adaptive model selection Y Li, L Zhang, K Zhang doc. U0068, 21st Meeting, by teleconference, 6-15, 2021 | 6 | 2021 |
| Incremental deep neural network pruning based on hessian approximation L Li, Z Li, Y Li, B Kathariya, S Bhattacharyya 2019 Data Compression Conference (DCC), 590-590, 2019 | 6 | 2019 |
| Combining directional intra prediction and intra block copy with block partition for HEVC Y Li, L Li, D Liu, H Li, F Wu 2016 IEEE International Conference on Image Processing (ICIP), 524-528, 2016 | 6 | 2016 |
| A neural-network enhanced video coding framework beyond vvc J Li, Y Li, C Lin, K Zhang, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| Ahg11: Deep in-loop filter with adaptive model selection Y Li, L Zhang, K Zhang document JVET-V0100, 22nd JVET meeting, 2021 | 5 | 2021 |
Li LiUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
