| 2022 | ECCV | CANF-VC: Conditional Augmented Normalizing Flows for Video Compression. | Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng |
| 2022 | ICIP | Deep Incremental Optical Flow Coding For Learned Video Compression. | Chih-Peng Chang, Peng-Yu Chen, Yung-Han Ho, Wen-Hsiao Peng |
| 2022 | ISCAS | 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 |
| 2020 | CVPR | 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 |
| 2020 | MMSP | A Hybrid Layered Image Compressor with Deep-Learning Technique. | Wei-Cheng Lee, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang |
| 2019 | CVPR | 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 |
| 2019 | CVPR | Learned Image Compression with Residual Coding. | Wei-Cheng Lee, David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Cheng-Yen Yang, Hsueh-Ming Hang |
| 2019 | ICIP | Learned Image Compression with Soft Bit-Based Rate-Distortion Optimization. | David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang |
| 2018 | CVPR | An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU. | David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang |