Papers
1
Total Citations
6
H-Index
1
About
Shuli Xu’s research lies at the intersection of cognitive science and computer vision, with a primary focus on developing biologically inspired object recognition systems. Their most notable contribution is the Cognitive Object Recognition System (CORS), a pioneering framework introduced in 2010 that integrates multiple recognition algorithms—including shape-based geometric primitives (geons) and non-geometric feature-based methods—to more closely mimic human visual processing. This work bridges neurocomputational models and psychophysical research, offering a novel approach to machine perception that moves beyond single-algorithm paradigms. While CORS has garnered 6 citations, its conceptual influence extends beyond raw numbers, laying groundwork for hybrid recognition architectures. Xu’s research is particularly valuable for students and researchers exploring how cognitive principles can enhance artificial vision systems, demonstrating the power of interdisciplinary thinking in solving complex recognition challenges.
Research Focus
Key Achievements
Top Papers
- 1Cognitive object recognition system (CORS)6 citations · 2010