Chih-Peng Chang

According to our database, Chih-Peng Chang authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

2020

A Hybrid Layered Image Compressor with Deep-Learning Technique.

Wei-Cheng Lee, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal 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

Learned Image Compression with Soft Bit-Based Rate-Distortion Optimization.

David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang

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

Learned Image Compression with Residual Coding.

Wei-Cheng Lee, David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Cheng-Yen Yang, Hsueh-Ming Hang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Description of Challenge Proposal by NCTU: An Autoencoder-based Image Compressor with Principle Component Analysis and Soft-Bit Rate Estimation.

Chih-Peng Chang, David Alexandre, Wen-Hsiao Peng, Hsueh-Ming Hang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU.

David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018