KokSheik Wong
Papers
1
Total Citations
41
H-Index
1
About
Dr. KokSheik Wong is a leading researcher in computer vision, with a primary focus on Human-Object Interaction (HOI) detection—a critical technology for enabling autonomous systems like self-driving cars and collaborative robots to understand how people engage with their environment. His most notable contribution is the development of ERNet (Efficient and Reliable Network), a pioneering HOI detection framework that directly addresses the twin challenges of model inefficiency and prediction unreliability that have long plagued the field. This work, published in 2023, has already garnered 41 citations, reflecting its immediate impact on advancing practical, deployable AI. By designing a system that is both computationally lean and robust in its inferences, Dr. Wong’s research bridges the gap between theoretical computer vision and real-world application, making autonomous systems safer and more perceptive. His work is essential reading for students and researchers aiming to build the next generation of intelligent, interactive machines.
Research Focus
Key Achievements
Top Papers
- 1ERNet: An Efficient and Reliable Human-Object Interaction Detection Network41 citations · 2023