End-to-end learnt image compression via non-local attention optimization and improved context modeling T Chen, H Liu, Z Ma, Q Shen, X Cao, Y Wang IEEE Transactions on Image Processing 30, 3179-3191, 2021 | 374* | 2021 |
Lossy point cloud geometry compression via end-to-end learning J Wang, H Zhu, H Liu, Z Ma IEEE Transactions on Circuits and Systems for Video Technology 31 (12), 4909 …, 2021 | 228* | 2021 |
Deepcoder: A deep neural network based video compression T Chen, H Liu, Q Shen, T Yue, X Cao, Z Ma 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 126 | 2017 |
Neural video coding using multiscale motion compensation and spatiotemporal context model H Liu, M Lu, Z Ma, F Wang, Z Xie, X Cao, Y Wang IEEE Transactions on Circuits and Systems for Video Technology 31 (8), 3182-3196, 2020 | 81 | 2020 |
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration H Liu, L Huang, M Lu, T Chen, Z Ma 2020 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019 | 62 | 2019 |
Deep Image Compression via End-to-End Learning. H Liu, T Chen, Q Shen, T Yue, Z Ma 2018 IEEE Computer Vision and Pattern Recognition Workshop (CVPR Workshop …, 2018 | 52 | 2018 |
A dual camera system for high spatiotemporal resolution video acquisition M Cheng, Z Ma, S Asif, Y Xu, H Liu, W Bao, J Sun 2020 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1-1, 2020 | 30 | 2020 |
End-to-end neural video coding using a compound spatiotemporal representation H Liu, M Lu, Z Chen, X Cao, Z Ma, Y Wang IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5650-5662, 2022 | 29 | 2022 |
Practical Stacked Non-local Attention Modules for Image Compression. H Liu, T Chen, Q Shen, Z Ma 2019 IEEE Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 0, 2019 | 25 | 2019 |
Learned Image Restoration for VVC Intra Coding. M Lu, T Chen, H Liu, Z Ma 2019 IEEE Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 0, 2019 | 19 | 2019 |
Extreme image coding via multiscale autoencoders with generative adversarial optimization C Huang, H Liu, T Chen, Q Shen, Z Ma 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 18* | 2019 |
2C-Net: integrate image compression and classification via deep neural network L Liu, T Chen, H Liu, S Pu, L Wang, Q Shen Multimedia Systems 29 (3), 945-959, 2023 | 17 | 2023 |
CodedVision: Towards Joint Image Understanding and Compression via End-to-End Learning Q Shen, J Cai, L Liu, H Liu, T Chen, L Ye, Z Ma Pacific Rim Conference on Multimedia, 3-14, 2018 | 16 | 2018 |
Object-based image coding: A learning-driven revisit Q Xia, H Liu, Z Ma 2020 IEEE international conference on multimedia and expo (ICME), 1-6, 2020 | 15 | 2020 |
PDWN: Pyramid deformable warping network for video interpolation Z Chen, R Wang, H Liu, Y Wang IEEE Open Journal of Signal Processing 2, 413-424, 2021 | 14 | 2021 |
Neural video compression using spatio-temporal priors H Liu, T Chen, M Lu, Q Shen, Z Ma arXiv preprint arXiv:1902.07383, 2019 | 13 | 2019 |
Methods And Apparatuses For Learned Image Compression Z Ma, H Liu, T Chen, S Qiu, T Yue US Patent App. 16/689,062, 2020 | 12 | 2020 |
Gated context model with embedded priors for deep image compression H Liu, T Chen, P Guo, Q Shen, Z Ma arXiv preprint arXiv:1902.10480, 2019 | 10 | 2019 |
Block-based learned image coding with convolutional autoencoder and intra-prediction aided entropy coding Z Yuan, H Liu, D Mukherjee, B Adsumilli, Y Wang 2021 Picture Coding Symposium (PCS), 1-5, 2021 | 7 | 2021 |
Looking-ahead: neural future video frame prediction C Zhang, T Chen, H Liu, Q Shen, Z Ma 2019 IEEE International Conference on Image Processing (ICIP), 1975-1979, 2019 | 7 | 2019 |