Xu Tian
Papers
1
Total Citations
6
H-Index
1
About
Xu Tian is a computer vision researcher whose work focuses on accelerating stereo-matching algorithms for real-time robotic applications. His most cited paper, "Acceleration of Stereo-Matching on Multi-core CPU and GPU" (2014, 6 citations), presents a high-performance implementation of a dense stereo-correspondence algorithm optimized for both multi-core CPUs and GPUs. This algorithm was developed as part of the vision system for a binocular robot-head within the CloPeMa research project, demonstrating Tian's ability to bridge theoretical algorithm design with practical hardware acceleration. His contributions are particularly valuable for enabling real-time depth perception in autonomous systems, where computational efficiency is critical. While his citation count is modest, Tian's work represents a focused effort in parallel computing for stereo vision, a key enabler for robotics and autonomous navigation. His research exemplifies the importance of optimizing computer vision algorithms for modern heterogeneous architectures, making him a notable contributor to the field of embedded vision systems.
Research Focus
Key Achievements
Top Papers
- 1Acceleration of Stereo-Matching on Multi-core CPU and GPU6 citations · 2014