An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU. - David Alexandre; Chih-Peng Chang; Wen-Hsiao Peng; Hsueh-Ming Hang (CVPR Workshops, 2018)

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 (CVPR Workshops, 2019)

Learned Image Compression with Residual Coding. - Wei-Cheng Lee; David Alexandre; Chih-Peng Chang; Wen-Hsiao Peng; Cheng-Yen Yang; Hsueh-Ming Hang (CVPR Workshops, 2019)

Learned Image Compression with Soft Bit-Based Rate-Distortion Optimization. - David Alexandre; Chih-Peng Chang; Wen-Hsiao Peng; Hsueh-Ming Hang (ICIP, 2019)

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 (CVPR Workshops, 2020)

A Hybrid Layered Image Compressor with Deep-Learning Technique. - Wei-Cheng Lee; Chih-Peng Chang; Wen-Hsiao Peng; Hsueh-Ming Hang (MMSP, 2020)

CANF-VC: Conditional Augmented Normalizing Flows for Video Compression. - Yung-Han Ho; Chih-Peng Chang; Peng-Yu Chen; Alessandro Gnutti; Wen-Hsiao Peng (ECCV (16), 2022)

Deep Incremental Optical Flow Coding For Learned Video Compression. - Chih-Peng Chang; Peng-Yu Chen; Yung-Han Ho; Wen-Hsiao Peng (ICIP, 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 (ISCAS, 2022)