Yi-Hsuan Tsai

Papers

Total Citations

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About

Yi-Hsuan Tsai is a computer vision researcher whose work focuses on the intersection of 3D scene understanding and deep learning. His most cited paper, "Colorization of Depth Map via Disentanglement" (2020), introduces a novel approach to enhancing depth maps by disentangling color and geometric information, enabling more realistic and semantically consistent colorization of 3D data. This contribution addresses a critical challenge in autonomous systems and augmented reality, where accurate depth perception is essential. With over 4 citations, his research demonstrates early impact in the field, particularly for its innovative use of disentanglement techniques to improve depth map quality. Tsai’s work bridges the gap between raw sensor data and human-interpretable visual representations, offering practical solutions for robotics and scene reconstruction. His ongoing efforts continue to push boundaries in visual perception, making him a promising voice in the next generation of computer vision researchers.