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ORCIDYung-Han Ho
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2020 – today
- 2022
[c10]Yung-Han Ho
, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng:
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression. ECCV (16) 2022: 207-223- [c9]Chih-Peng Chang, Peng-Yu Chen, Yung-Han Ho, Wen-Hsiao Peng:
Deep Incremental Optical Flow Coding For Learned Video Compression. ICIP 2022: 3988-3992 - [c8]Yung-Han Ho, Chih-Hsuan Lin, Peng-Yu Chen, Mu-Jung Chen, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang:
Learned Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding. ISCAS 2022: 829-833 - [c7]Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh:
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. VCIP 2022: 1-5 - [i7]Yung-Han Ho, Yun Liang, Chia-Hao Kao, Wen-Hsiao Peng:
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization. CoRR abs/2203.05127 (2022) - [i6]Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng:
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression. CoRR abs/2207.05315 (2022) - [i5]Mu-Jung Chen, Yi-Hsin Chen, Peng-Yu Chen, Chih Hsuan Lin, Yung-Han Ho, Wen-Hsiao Peng:
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows. CoRR abs/2209.01769 (2022) - [i4]Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh:
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. CoRR abs/2209.13210 (2022) - [i3]Yung-Han Ho, Chih-Hsuan Lin, Peng-Yu Chen, Mu-Jung Chen, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang:
Learned Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding. CoRR abs/2210.08225 (2022) - 2021
- [j1]Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski:
ANFIC: Image Compression Using Augmented Normalizing Flows. IEEE Open J. Circuits Syst. 2: 613-626 (2021) - [c6]Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang:
End-to-End Learned Image Compression With Augmented Normalizing Flows. CVPR Workshops 2021: 1931-1935 - [c5]Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li:
A Dual-Critic Reinforcement Learning Framework for Frame-Level Bit Allocation in HEVC/H.265. DCC 2021: 13-22 - [i2]Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li:
A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265. CoRR abs/2104.01735 (2021) - [i1]Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski:
ANFIC: Image Compression Using Augmented Normalizing Flows. CoRR abs/2107.08470 (2021) - 2020
- [c4]Yung-Han Ho, Chih-Chun Chan, David Alexandre, Wen-Hsiao Peng, Chih-Peng Chang:
P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation. CVPR Workshops 2020: 598-601 - [c3]Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng:
Deep Video Prediction Through Sparse Motion Regularization. ICIP 2020: 1646-1650
2010 – 2019
- 2019
- [c2]Yung-Han Ho, Chuan-Yuan Cho, Guo-Lun Jin, Wen-Hsiao Peng:
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning. ICCV 2019: 10461-10469 - [c1]Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng:
Deep Reinforcement Learning for Video Prediction. ICIP 2019: 604-608
Coauthor Index
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