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Research Fellow/Professor  |  Liu, Tyng-Luh  
 
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Research Descriptions
 

My current research lies at the intersection of computer vision and deep learning, with the focus on designing state-of-the-art techniques. Specifically, I am most interested in tackling challenging computer vision problems, including few-shot leaning for various detection and segmentation scenarios (pertaining to images, 3-D point clouds, or text-guided), fine-grained and long-tailed object detection and classification, image and video-based anomaly detection, video action and activity detection, deepfake detection, etc.

While I am currently on leave from the Institute of Information Science, Academia Sinica, I work as a Chief Scientist of Computer Vision and Machine Learning at Taiwan AI Labs and lead the research of their Medical Imaging Team. We have developed systems for COVID-19 CXR screening, brain metastasis segmentation, sepsis and its prognosis prediction, detecting endotracheal tube and its positioning appropriateness, automatic beam angle selection for pencil-beam scanning proton liver treatments. We also develop a federated learning platform to seamlessly promote joint research efforts on a wide spectrum of clinical applications across different medical institutes.

 
 
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