Yung-Han Ho — accepted AI-conference papers

2022

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

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

ECCV 2022poster

"This paper presents an end-to-end learning-based video compression system, termed CANF-VC, based on conditional augmented normalizing flows (CANF). Most learned video compression systems adopt the same hybrid-based coding architecture as the traditional codecs. Recent research on conditional coding…

Cited by 76 Source ↗PDF ↗code ↗Scholar ↗

2019

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

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

ICCV 2019poster

This paper leverages a classic prediction technique, known as parametric overlapped block motion compensation (POBMC), in a reinforcement learning framework for video prediction. Learning-based prediction methods with explicit motion models often suffer from having to estimate large numbers of motio…

Cited by 16 PDF ↗Scholar ↗