Haoxuanye Ji
Papers
1
Total Citations
10
H-Index
1
About
Haoxuanye Ji is a researcher specializing in computer vision, with a particular focus on planar object tracking and visual object detection in unconstrained environments. His most-cited work, "Planar Object Tracking Benchmark in the Wild" (2021), has garnered 10 citations and provides a standardized evaluation framework for tracking algorithms under real-world conditions, addressing challenges such as occlusion, motion blur, and illumination changes. This contribution is significant for advancing robust tracking systems used in augmented reality, robotics, and autonomous navigation. Ji’s research helps bridge the gap between controlled laboratory settings and practical deployment, offering benchmarks that enable fair comparison and drive innovation in the field. His work is notable for its emphasis on "in the wild" scenarios, reflecting a commitment to solving problems that matter in everyday applications. With a growing citation impact, Haoxuanye Ji is establishing himself as a thoughtful contributor to visual tracking, whose benchmarks and analyses support both academic research and industrial development in computer vision.
Research Focus
Key Achievements
Top Papers
- 1Planar object tracking benchmark in the wild10 citations · 2021