Yaser Sheikh

Papers

Total Citations

104

H-Index

About

Yaser Sheikh is a leading researcher in computer vision and robotics, with key contributions in real-time object pose estimation, visual storytelling, and aerial image georegistration. His most cited work, "Real-time scalable 6DOF pose estimation for textureless objects" (2016, 65 citations), tackles a fundamental robotics challenge—enabling machines to recognize the 3D position and orientation of objects lacking visual texture. This breakthrough has significant implications for robotic manipulation and augmented reality. Sheikh also explores the intersection of vision and human perception, as seen in "Inferring artistic intention in comic art through viewer gaze" (2012, 24 citations), where he uses gaze tracking to decode narrative structure in comics. Earlier, his work on "Feature-Based Georegistration of Aerial Images" (2004, 15 citations) pioneered methods for aligning video frames with geodetic maps, enabling precise coordinate and elevation inheritance—a technique vital for surveillance, mapping, and autonomous navigation. Across these contributions, Sheikh demonstrates a talent for solving hard, practical problems in real-time vision, from textureless objects to large-scale aerial imagery. His research continues to influence robotics, human-computer interaction, and remote sensing.