Shih-Chih Lin

According to our database, Shih-Chih Lin authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Adaptive Knowledge-Language Alignment for Industrial Anomaly Detection and Segmentation.

Shih-Chih Lin

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Robust Pediatric Brain Tumor Segmentation: Evaluating Modality Importance and Resilience in Missing-Modality Scenarios.

Jia-Xian Jian, Shih-Chih Lin, Wei-Chieh Sun

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

LTCXNet: Tackling Long-Tailed Multi-label Classification and Racial Bias in Chest X-Ray Analysis.

Chin-Wei Huang, Chi-Yu Chen, Mu-Yi Shen, Kuan-Chang Shih, Shih-Chih Lin, Po-Chih Kuo

Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

UniLEAD: A Unified and LightwEight Model for Anomaly Detection.

Shih-Chih Lin, Shang-Hong Lai

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges.

Chin-Wei Huang, Mu-Yi Shen, Kuan-Chang Shih, Shih-Chih Lin, Chi-Yu Chen, Po-Chih Kuo

CoRR, 2024

SQUAD: Scalar Quantized Representation Learning for Unsupervised Anomaly Detection and Localization.

Shih-Chih Lin, Shang-Hong Lai

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Masked Attention ConvNeXt Unet with Multi-Synthesis Dynamic Weighting for Anomaly Detection and Localization.

Shih-Chih Lin, Ho-Weng Lee, Yu-Shuan Hsieh, Cheng Yu Ho, Shang-Hong Lai

Proceedings of the 34th British Machine Vision Conference 2023, 2023