Khang Nguyen
Papers
3
Total Citations
19
H-Index
2
About
Khang Nguyen is a computer vision researcher whose work centers on object detection, with a particular focus on enabling models to recognize objects they have not explicitly been trained to identify. His 2019 paper "You Always Look Again: Learning to Detect the Unseen Objects" (10 citations) pioneered approaches to zero-shot and generalized object detection, addressing one of the field's most challenging open problems. Complementing this, "YADA: You Always Dream Again for Better Object Detection" (8 citations) further advanced detection performance through novel training strategies, demonstrating Nguyen's commitment to pushing the boundaries of what detection systems can achieve. Beyond foundational research, Nguyen has applied his expertise to real-world robotics challenges, investigating one-stage object detection methods for the RoboCup Small Size League — a competitive robotics domain where speed and accuracy are mission-critical. His 2022 empirical study bridges cutting-edge deep learning with practical autonomous systems, reflecting a research trajectory that moves fluidly between theory and application. Collectively, Nguyen's contributions offer meaningful advances in making object detection systems more robust, efficient, and capable of operating intelligently in dynamic, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1You always look again: Learning to detect the unseen objects10 citations · 2019
- 2YADA: you always dream again for better object detection8 citations · 2019
- 3