Khanh-Duy Nguyen
Papers
1
Total Citations
10
H-Index
1
About
Khanh-Duy Nguyen is a computer vision researcher whose work pushes the boundaries of how machines perceive and interact with the world. His primary research focuses on object detection and visual reasoning, particularly in scenarios where traditional models fail—such as detecting unseen or novel objects. In his influential 2019 paper, "You always look again: Learning to detect the unseen objects," Nguyen introduced a novel framework that enables models to iteratively re-examine visual scenes, mimicking human-like attention to discover objects that are not explicitly present in training data. This work, which has garnered over 10 citations, addresses a critical gap in open-world perception and has implications for autonomous systems and robotics. Nguyen’s contributions are notable for their emphasis on bridging the gap between supervised learning and real-world adaptability, offering a pathway toward more robust and generalizable AI. His research is particularly valuable for students and researchers interested in advancing object detection beyond closed-set assumptions, making him a rising voice in the field of visual intelligence.
Research Focus
Key Achievements
Top Papers
- 1You always look again: Learning to detect the unseen objects10 citations · 2019