Yung-Han Ho

According to our database, Yung-Han Ho authored at least 13 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows.

Mu-Jung Chen, Yi-Hsin Chen, Peng-Yu Chen, Chih Hsuan Lin, Yung-Han Ho, Wen-Hsiao Peng

CoRR, 2022

Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization.

Yung-Han Ho, Yun Liang, Chia-Hao Kao, Wen-Hsiao Peng

CoRR, 2022

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

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Deep Incremental Optical Flow Coding For Learned Video Compression.

Chih-Peng Chang, Peng-Yu Chen, Yung-Han Ho, Wen-Hsiao Peng

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression.

Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

ANFIC: Image Compression Using Augmented Normalizing Flows.

Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski

IEEE Open J. Circuits Syst., 2021

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

Proceedings of the 31st Data Compression Conference, 2021

End-to-End Learned Image Compression With Augmented Normalizing Flows.

Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Deep Video Prediction Through Sparse Motion Regularization.

Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng

Proceedings of the IEEE International Conference on Image Processing, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Reinforcement Learning for Video Prediction.

Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning.

Yung-Han Ho, Chuan-Yuan Cho, Guo-Lun Jin, Wen-Hsiao Peng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019