Duy Anh
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Researcher
Formerly Arkansas Affiliated with University of Arkansas through 2024.
Unknown Researcher
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Biography and Research Information
OverviewAI-generated summary
Duy Anh's research focuses on optimization algorithms and advanced tracking systems. He has investigated the convergence rates of gradient descent-ascent dynamics under delays for non-convex min-max optimization problems and explored asynchronous policy iteration for zero-sum Markov games. In the realm of computer vision, Anh has contributed to multiple object tracking methodologies, including enhanced Kalman filters with adaptive appearance motion SORT and text prompt-guided tracking (TP-GMOT). His work also extends to understanding challenges in foreign language acquisition, specifically English listening and speaking difficulties. Anh has co-authored publications with Huyen Tran and Kim Hoang Tran, both from the University of Arkansas at Fayetteville, with whom he shares three joint publications each. His scholarly output includes nine publications with a h-index of 2 and 27 citations.
Metrics
- h-index: 2
- Publications: 9
- Citations: 27
Selected Publications
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Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking (2024)
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TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT (2024)
Collaboration Network
Top Collaborators
- TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
- Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
- Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
- Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
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