Architecture-Aware Network Pruning for Vision Quality Applications. - Wei-Ting Wang; Han-Lin Li; Wei-Shiang Lin; Cheng-Ming Chiang; Yi-Min Tsai (ICIP, 2019)

Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency. - Cheng-Ming Chiang; Yu Tseng; Yu-Syuan Xu; Hsien-Kai Kuo; Yi-Min Tsai; Guan-Yu Chen; Koan-Sin Tan; Wei-Ting Wang; Yu-Chieh Lin 001; Shou-Yao Roy Tseng; Wei-Shiang Lin; Chia-Lin Yu; et al. (CVPR Workshops, 2020)

NTIRE 2020 Challenge on Image and Video Deblurring. - Seungjun Nah; Sanghyun Son 002; Radu Timofte; Kyoung Mu Lee; Yu Tseng; Yu-Syuan Xu; Cheng-Ming Chiang; Yi-Min Tsai; Stephan Brehm; Sebastian A. Scherer; Dejia Xu; Yihao Chu; et al. (CVPR Workshops, 2020)

Answer-checking in Context: A Multi-modal Fully Attention Network for Visual Question Answering. - Hantao Huang; Tao Han; Wei Han; Deep Yap; Cheng-Ming Chiang (ICPR, 2020)

Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering. - Hantao Huang; Tao Han; Wei Han; Deep Yap; Cheng-Ming Chiang (CoRR, 2020)

Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte (CVPR Workshops, 2021)

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte; Min-Hung Chen; Man-Yu Lee; Yu-Syuan Xu; Yu Tseng; Shusong Xu; Jin Guo; Chao-Hung Chen; et al. (CoRR, 2021)

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. - Andrey Ignatov; Anastasia Sycheva; Radu Timofte; Yu Tseng; Yu-Syuan Xu; Po-Hsiang Yu; Cheng-Ming Chiang; Hsien-Kai Kuo; Min-Hung Chen; Chia-Ming Cheng; Luc Van Gool (ECCV Workshops (2), 2022)

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Cheng-Ming Chiang; Hsien-Kai Kuo; Yu-Syuan Xu; Man-Yu Lee; Allen Lu; Chia-Ming Cheng; Chih-Cheng Chen; Jia-Ying Yong; Hong-Han Shuai; Wen-Huang Cheng; et al. (ECCV Workshops (3), 2022)

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Yu Tseng; Yu-Syuan Xu; Po-Hsiang Yu; Cheng-Ming Chiang; Hsien-Kai Kuo; Min-Hung Chen; Chia-Ming Cheng; Luc Van Gool (ICPR, 2022)

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. - Vijay Janapa Reddi; David Kanter; Peter Mattson; Jared Duke; Thai Nguyen; Ramesh Chukka; Kenneth Shiring; Koan-Sin Tan; Mark Charlebois; William Chou; Mostafa El-Khamy; Jungwook Hong; et al. (MLSys, 2022)