Dynamic Video Segmentation Network. - Yu-Syuan Xu; Tsu-Jui Fu; Hsuan-Kung Yang; Chun-Yi Lee (CVPR, 2018)

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)

Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations. - Yu-Syuan Xu; Shou-Yao Roy Tseng; Yu Tseng; Hsien-Kai Kuo; Yi-Min Tsai (CVPR, 2020)

Network Space Search for Pareto-Efficient Spaces. - Min-Fong Hong; Hao-Yun Chen; Min-Hung Chen; Yu-Syuan Xu; Hsien-Kai Kuo; Yi-Min Tsai; Hung-Jen Chen 004; Kevin Jou (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)

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution. - Hao-Wei Chen; Yu-Syuan Xu; Min-Fong Hong; Yi-Min Tsai; Hsien-Kai Kuo; Chun-Yi Lee (CVPR, 2023)

Two Heads Better Than One: Dual Degradation Representation for Blind Super-Resolution. - Hsuan Yuan; Shao-Yu Weng; I-Hsuan Lo; Wei-Chen Chiu; Yu-Syuan Xu; Hao-Chien Hsueh; Jen-Hui Chuang; Ching-Chun Huang (ICIP, 2024)

Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency. - Shao-Yu Weng; Hsuan Yuan; Yu-Syuan Xu; Ching-Chun Huang; Wei-Chen Chiu (WACV, 2024)

AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters. - Hao-Wei Chen; Yu-Syuan Xu; Kelvin C. K. Chan; Hsien-Kai Kuo; Chun-Yi Lee; Ming-Hsuan Yang 001 (CoRR, 2024)

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration. - Yu-Cheng Lin; Yu-Syuan Xu; Hao-Wei Chen; Hsien-Kai Kuo; Chun-Yi Lee (CoRR, 2025)