Che-Tsung Lin

Publications (10)
Projects (0)

Showing 10 publications

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

Journal article

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

Journal article

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 in 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 in 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, p. 317-323

Paper in 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 in 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 in 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 in 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 in 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, p. 2693-2699

Paper in proceeding

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