Search Results for author: Yung-Han Ho

Found 7 papers, 3 papers with code

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

1 code implementation12 Jul 2022 Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng

CANF-VC represents a new attempt that leverages the conditional ANF to learn a video generative model for conditional inter-frame coding.

Video Compression

ANFIC: Image Compression Using Augmented Normalizing Flows

1 code implementation18 Jul 2021 Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski

This paper introduces an end-to-end learned image compression system, termed ANFIC, based on Augmented Normalizing Flows (ANF).

Image Compression

A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265

no code implementations5 Apr 2021 Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li

This paper introduces a dual-critic reinforcement learning (RL) framework to address the problem of frame-level bit allocation in HEVC/H. 265.

reinforcement-learning Reinforcement Learning (RL)

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

1 code implementation ICCV 2019 Yung-Han Ho, Chuan-Yuan Cho, Wen-Hsiao Peng, Guo-Lun Jin

Inspired by the success of sparse motion-based prediction for video compression, we propose a parametric video prediction on a sparse motion field composed of few critical pixels and their motion vectors.

Motion Compensation Motion Estimation +4

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