CyEDA: Cycle-Object Edge Consistency Domain Adaptation. - Jing Chong Beh; Kam Woh Ng; Jie-Long Kew; Che-Tsung Lin; Chee Seng Chan; Shang-Hong Lai; Christopher Zach (ICIP, 2022)

Extremely Low-Light Image Enhancement with Scene Text Restoration. - Po-Hao Hsu; Che-Tsung Lin; Chun Chet Ng; Jie-Long Kew; Mei Yih Tan; Shang-Hong Lai; Chee Seng Chan; Christopher Zach (ICPR, 2022)

Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing. - Wan Jun Nah; Chun Chet Ng; Che-Tsung Lin; Yeong Khang Lee; Jie-Long Kew; Zhi Qin Tan; Chee Seng Chan; Christopher Zach; Shang-Hong Lai (ICIP, 2023)

Cycle-object consistency for image-to-image domain adaptation. - Che-Tsung Lin; Jie-Long Kew; Chee Seng Chan; Shang-Hong Lai; Christopher Zach (Pattern Recognit., 2023)

When IC meets text: Towards a rich annotated integrated circuit text dataset. - Chun Chet Ng; Che-Tsung Lin; Zhi Qin Tan; Xinyu Wang 010; Jie-Long Kew; Chee Seng Chan; Christopher Zach (Pattern Recognit., 2024)

Text in the dark: Extremely low-light text image enhancement. - Che-Tsung Lin; Chun Chet Ng; Zhi Qin Tan; Wan Jun Nah; Xinyu Wang 010; Jie-Long Kew; Po-Hao Hsu; Shang-Hong Lai; Chee Seng Chan; Christopher Zach (Signal Process. Image Commun., 2025)