Papers
6
Total Citations
1,786
H-Index
6
About
Kevin Lai is a leading researcher in robotics and computer vision, best known for his pioneering work in RGB-D object recognition and large-scale dataset creation. His most impactful contribution is the introduction of the first large-scale, hierarchical, multi-view RGB-D object dataset (2011, 1,322 citations), which provided a critical benchmark that accelerated progress in visual object category and instance detection using synchronized video and depth data. Lai also advanced the field of robotic perception by developing methods to reduce reliance on manually labeled training data through domain adaptation, as demonstrated in his work on object recognition in 3D point clouds using web data (2010, 157 citations). His research on "Curious George: An Attentive Semantic Robot" (2008, 167 citations) integrated attention mechanisms with object recognition, enabling mobile robots to perform informed visual search in cluttered environments. Lai's contributions have fundamentally shaped how robots perceive and interact with their surroundings, bridging the gap between static image recognition and real-world robotic applications. His work remains highly influential in the development of autonomous systems that can learn from limited labeled data and operate effectively in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1A large-scale hierarchical multi-view RGB-D object dataset1,322 citations · 2011
- 2Curious George: An attentive semantic robot167 citations · 2008
- 3Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation157 citations · 2010
- 4Informed visual search: Combining attention and object recognition70 citations · 2008
- 5RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark62 citations · 2012
- 63D Laser Scan Classification Using Web Data and Domain Adaptation8 citations · 2010