Papers
8
Total Citations
61
H-Index
4
About
Dr. Sixian Chan is a leading researcher at the intersection of computer vision and intelligent robotics, with a primary focus on visual perception, object detection, and autonomous navigation. Her work addresses critical challenges in industrial automation, smart city infrastructure, and human-robot interaction. Dr. Chan has made significant contributions to defect detection for industrial robots, developing an attention-based method with dilated convolution that achieved 17 citations for its practical accuracy in manufacturing. She is also recognized for advancing fisheye camera calibration and distortion correction (14 citations), enabling wider field-of-view applications in robot vision. Her research extends to multi-object tracking for smart city systems (11 citations) and human-object interaction (HOI) detection using transformer architectures (7 citations), where she introduced the novel SGPT framework that guides primary detection paths with secondary cues. More recently, Dr. Chan has pioneered vision-based localization for autonomous guided vehicles (AGVs) and developed the PO-JPS algorithm for efficient path planning. Her work on Siamese network visual tracking and 3D object detection through geometric-semantic fusion (SyNet) further underscores her impact, with cumulative citations exceeding 60 and growing influence in robotics and AI communities.
Research Focus
Key Achievements
Top Papers
- 1
- 2An improved method for fisheye camera calibration and distortion correction14 citations · 2016
- 3Multi-object tracking based on attention networks for Smart City system11 citations · 2022
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- 6Densely connected Siamese network visual tracking.4 citations · 2021
- 7Target tracking based on standard hedging and feature fusion for robot3 citations · 2021
- 8