Duc Anh Duong

Vietnam National University Ho Chi Minh City

Papers

Total Citations

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About

Duc Anh Duong is a computer vision researcher whose work focuses on advancing object detection, particularly in challenging scenarios involving unseen or novel objects. His research addresses a fundamental limitation of traditional detection models—their inability to recognize objects not encountered during training. Duong’s major contributions are encapsulated in two highly cited papers: “You always look again: Learning to detect the unseen objects” (2019, 10 citations) and “YADA: you always dream again for better object detection” (2019, 8 citations). These works introduce innovative frameworks that enable models to iteratively refine their detections and “reimagine” missing objects, effectively bridging the gap between seen and unseen categories. By proposing methods that simulate or “dream” of missing instances, Duong’s research has opened new pathways for zero-shot and open-world object detection. His work has been recognized for its creative approach to a persistent problem in computer vision, earning citations from researchers tackling similar challenges in autonomous driving, robotics, and surveillance. Duong’s contributions are particularly notable for their practical implications, offering a scalable solution for systems that must operate in dynamic, unpredictable environments.