| 2022 | ECCV | CANF-VC: Conditional Augmented Normalizing Flows for Video Compression. | Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng |
| 2022 | ICIP | Deep Incremental Optical Flow Coding For Learned Video Compression. | Chih-Peng Chang, Peng-Yu Chen, Yung-Han Ho, Wen-Hsiao Peng |
| 2022 | ISCAS | Learned Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding. | Yung-Han Ho, Chih-Hsuan Lin, Peng-Yu Chen, Mu-Jung Chen, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang |
| 2022 | VCIP | Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. | Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh |
| 2021 | CVPR | End-to-End Learned Image Compression With Augmented Normalizing Flows. | Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang |
| 2021 | DCC | A Dual-Critic Reinforcement Learning Framework for Frame-Level Bit Allocation in HEVC/H.265. | Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li |
| 2020 | CVPR | P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation. | Yung-Han Ho, Chih-Chun Chan, David Alexandre, Wen-Hsiao Peng, Chih-Peng Chang |
| 2020 | ICIP | Deep Video Prediction Through Sparse Motion Regularization. | Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng |
| 2019 | ICCV | SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning. | Yung-Han Ho, Chuan-Yuan Cho, Guo-Lun Jin, Wen-Hsiao Peng |
| 2019 | ICIP | Deep Reinforcement Learning for Video Prediction. | Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng |