Learning to Compose with Professional Photographs on the Web. - Yi-Ling Chen 004; Jan Klopp; Min Sun 001; Shao-Yi Chien; Kwan-Liu Ma (ACM Multimedia, 2017)

Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies. - Jan Klopp; Yu-Chiang Frank Wang; Shao-Yi Chien; Liang-Gee Chen (BMVC, 2018)

Accurate and Bandwidth Efficient Architecture for CNN-based Full-HD Super-Resolution. - Chung-Yan Chih; Sih-Sian Wu; Jan P. Klopp; Liang-Gee Chen (ISCAS, 2018)

What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing. - Keng-Chi Liu; Yi-Ting Shen; Jan Klopp; Liang-Gee Chen (ICCV, 2019)

Arithmetic Precision Reconfigurable Convolution Neural Network Accelerator. - En Ho Shen; Jan P. Klopp; Shao-Yi Chien (SiPS, 2020)

Joint Pruning & Quantization for Extremely Sparse Neural Networks. - Po-Hsiang Yu; Sih-Sian Wu; Jan P. Klopp; Liang-Gee Chen; Shao-Yi Chien (CoRR, 2020)

Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding. - Jan P. Klopp; Liang-Gee Chen; Shao-Yi Chien (IEEE Trans. Image Process., 2020)

How To Exploit the Transferability of Learned Image Compression to Conventional Codecs. - Jan P. Klopp; Keng-Chi Liu; Liang-Gee Chen; Shao-Yi Chien (CVPR, 2021)

Online-trained Upsampler for Deep Low Complexity Video Compression. - Jan P. Klopp; Keng-Chi Liu; Shao-Yi Chien; Liang-Gee Chen (ICCV, 2021)

A Computational Efficient Architecture for Extremely Sparse Stereo Network. - Tan Huang; Sih-Sian Wu; Jan Klopp; Po-Hsiang Yu; Liang-Gee Chen (ISCAS, 2021)