Chung‐Sheng Lai

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Chung-Sheng Lai is a researcher in computer vision and deep learning, with a focus on 3D scene understanding and image synthesis. His most notable contribution is the development of a novel approach to colorizing depth maps through disentangled representation learning, as detailed in his 2020 paper "Colorization of Depth Map via Disentanglement." This work addresses the challenging problem of automatically adding realistic color to grayscale depth data, a task critical for applications in augmented reality, robotics, and 3D reconstruction. By separating content and style factors, Lai’s method enables more accurate and visually coherent colorization, advancing the field’s ability to bridge the gap between geometric and photometric information. Although his citation count is modest—with his key paper garnering 4 citations—the work represents a focused and innovative step in a niche area. Lai’s research demonstrates a commitment to solving fundamental problems in visual computing, and his contributions hold potential for broader impact as depth-based technologies continue to evolve.