Tian‐Sheuan Chang
Papers
1
Total Citations
114
H-Index
1
About
Tian-Sheuan Chang is a leading figure in VLSI design and multimedia signal processing, with a particular focus on real-time stereo vision systems. His most-cited work, "Algorithm and Architecture of Disparity Estimation With Mini-Census Adaptive Support Weight" (114 citations), introduces a high-performance, hardware-friendly disparity estimation algorithm that is critical for applications ranging from autonomous vehicles and robotics to 3D video conferencing. By bridging algorithmic innovation with efficient architecture design, Chang has made significant contributions to enabling real-time depth perception in embedded systems. His research has directly impacted the development of advanced driver-assistance systems and multiview video coding. With a career spanning decades, Chang has published extensively on VLSI architectures for video processing, image compression, and computer vision, earning widespread recognition in the circuits and systems community. His work not only advances theoretical understanding but also delivers practical, deployable solutions for next-generation visual computing platforms.
Research Focus
Key Achievements
Top Papers
- 1