Vu-Hoang Tran

Ho Chi Minh City University of Technology and Engineering

Papers

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About

Dr. Vu-Hoang Tran is a computer vision researcher whose work advances intelligent surveillance, autonomous navigation, and 3D scene understanding. His primary research areas include multi-camera multi-object tracking, 3D geometric refinement, and real-time traffic sign recognition. Dr. Tran’s major contribution is the development of VGCRTrack, a novel framework for multi-camera 3D tracking that employs view-aware geometric center refinement to overcome severe occlusion and class ambiguity—such as distinguishing humans from humanoid robots—enabling consistent identity tracking across disjoint camera views. This work, published in 2025, has already garnered 2 citations, signaling its emerging impact. Additionally, Dr. Tran designed a lightweight model for real-time traffic sign recognition (2020), which supports advanced driver assistance systems (ADAS) and autonomous vehicle navigation by balancing accuracy with computational efficiency. His research addresses critical challenges in real-world deployment, from crowded surveillance environments to high-speed driving scenarios. Dr. Tran’s work is notable for its practical focus on robust, real-time performance, making him a rising contributor to the fields of 3D tracking and intelligent transportation systems.