Wentao Luan
Papers
1
Total Citations
3
H-Index
1
About
Wentao Luan’s research centers on computer vision and robotic perception, with a particular focus on efficient target detection and sampling strategies. His most-cited work, “Active sampling exploiting detector response pattern for efficient target detection” (2016), addresses a fundamental challenge in vision systems: localizing objects in images using only a trained binary classifier. By reframing detection as a sampling problem, Luan developed methods to intelligently select image windows for evaluation, significantly reducing computational cost while maintaining accuracy. This contribution is especially valuable for real-time robotic applications where processing speed is critical. Though early in his career, with his top paper accumulating 3 citations, Luan’s work demonstrates a thoughtful approach to bridging theoretical sampling techniques with practical detection needs. His research holds promise for advancing autonomous systems that must operate efficiently under resource constraints, making him a researcher to watch in the evolving field of intelligent visual perception.
Research Focus
Key Achievements
Top Papers
- 1