Jiali Wong
Papers
1
Total Citations
6
H-Index
1
About
Dr. Jiali Wong is a leading researcher in the field of computer vision and robotics, with a primary focus on 3D sensing and perception systems. Her work centers on advancing stereo vision technology—a critical technique for generating dense point clouds essential for robotic navigation and manipulation. Dr. Wong’s most notable contribution is her pioneering research on optimization-based automatic parameter tuning for stereo vision, published in 2015, which has garnered 6 citations. This work addresses a fundamental challenge in the field: achieving high-depth resolution and accuracy without the bulk and power consumption of active sensor systems. By developing automated calibration methods, she has helped make stereo vision more compact, cost-effective, and energy-efficient, paving the way for its integration into smaller robotic platforms and autonomous systems. Her research is particularly impactful for applications requiring real-time, high-frame-rate depth sensing, such as autonomous navigation and industrial manipulation. Dr. Wong’s contributions are recognized as foundational steps toward making passive 3D sensing a viable alternative to active sensors in resource-constrained environments, and her work continues to influence the design of next-generation perception systems for robotics.
Research Focus
Key Achievements
Top Papers
- 1Optimization-based automatic parameter tuning for stereo vision6 citations · 2015