Che-Tsung Lin

Visar 11 publikationer

2025

Text in the dark: Extremely low-light text image enhancement

Che-Tsung Lin, Chun Chet Ng, Zhi Qin Tan et al
Signal Processing: Image Communication. Vol. 130
Artikel i vetenskaplig tidskrift
2024

When IC meets text: Towards a rich annotated integrated circuit text dataset

Chun Chet Ng, Che-Tsung Lin, Zhi Qin Tan et al
Pattern Recognition. Vol. 147
Artikel i vetenskaplig tidskrift
2023

Cycle-Object Consistency for Image-to-Image Domain Adaptation

Che-Tsung Lin, Jie Long Kew, Chee Seng Chan et al
Pattern Recognition. Vol. 138
Artikel i vetenskaplig tidskrift
2023

Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing

Wan Jun Nah, Chun Chet Ng, Che-Tsung Lin et al
Proceedings - International Conference on Image Processing, ICIP, p. 435-439
Paper i proceeding
2023

Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps,

Yadong Mao, Zhuqi Xiao, Che-Tsung Lin et al
IEEE Vehicular Technology Conference. Vol. 2023-June
Paper i proceeding
2022

Extremely Low-light Image Enhancement with Scene Text Restoration

Pohao Hsu, Che-Tsung Lin, Chun Chet Ng et al
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 317-323
Paper i proceeding
2022

Effortless Training of Joint Energy-Based Models with Sliced Score Matching

Xixi Liu, Dorian Staudt, Che-Tsung Lin et al
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 2643-2649
Paper i proceeding
2022

CyEDA : CYCLE OBJECT EDGE CONSISTENCY DOMAIN ADAPTATION

Jing Chong Beh, Kam Woh Ng, Jie Long Kew et al
Proceedings - International Conference on Image Processing, ICIP, p. 2986-2990
Paper i proceeding
2022

AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks

Huu Le, Rasmus Kjær Høier, Che-Tsung Lin et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2022-June, p. 460-469
Paper i proceeding
2022

Data Augmentation via Neural-Style-Transfer for Driver Distraction Recognition

Che-Tsung Lin, Thomas Streubel, Marco Dozza et al
The 8th International Conference on Driver Distraction and Inattention
Paper i proceeding
2022

Joint Energy-based Model for Deep Probabilistic Regression

Xixi Liu, Che-Tsung Lin, Christopher Zach
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 2693-2699
Paper i proceeding

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