Ho Yin Tiga Leung

Papers

Total Citations

277

H-Index

About

Dr. Ho Yin Tiga Leung is a leading researcher in computer vision and robotics, with a primary focus on spatial perception and semantic scene understanding. His most impactful contribution is the introduction of "Cross-View Semantic Segmentation for Sensing Surroundings" (2020, 277 citations), a novel visual task that enables robots to extract spatial configurations of objects and free space from observations—a critical capability for autonomous navigation and human-robot interaction. This work bridges the gap between 2D image understanding and 3D spatial reasoning, fundamentally advancing how machines perceive their environment. Dr. Leung’s research addresses the core challenge of enabling robots to interpret surroundings from multiple viewpoints, directly impacting fields such as autonomous driving, assistive robotics, and augmented reality. His highly cited paper demonstrates the significance of his approach, which has become a foundational reference for subsequent work in cross-view perception and semantic mapping. Through his innovative contributions, Dr. Leung continues to shape the future of intelligent systems that can safely and effectively operate in complex, dynamic environments.