Chih‐Yang Lin

Papers

Total Citations

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About

Chih-Yang Lin is a computer vision researcher whose work focuses on developing intelligent systems that bridge the gap between visual perception and practical assistance. His primary research areas include object detection and recognition, deep learning architectures, and assistive technologies for visually impaired individuals. Lin's most significant contribution is the "Robot Eye" system, which employs a deep attention network to enable automatic object detection and recognition, specifically designed to guide blind people through outdoor environments using a ZED stereo camera for depth calculation. This innovative work, published in 2020, has garnered 8 citations for its novel approach to real-world accessibility challenges. Additionally, Lin has contributed to the field of data-driven object detection through his work on automatic signboard detection and semi-automatic ground truth generation (2019, 3 citations), addressing practical applications in autonomous robots, self-driving vehicles, and defect detection. His research demonstrates a commitment to advancing computer vision techniques while creating tangible solutions that improve quality of life, making him a notable figure in the intersection of AI, robotics, and assistive technology.