Khoa Vo is a postdoctoral fellow and researcher with eight years of experience at the intersection of computer vision and language, currently based at the University of Arkansas. He earned a PhD in Computer Science with a perfect 4.0 GPA and transitioned from graduate research to a postdoctoral role after producing sustained work in deep learning and multimodal understanding since 2016. His background includes research fellowships and internships at institutions such as VNUHCM and the National Institute of Informatics, and he has taught applied machine learning in a Google-affiliated summer bootcamp. Khoa combines rigorous academic training with hands-on project experience across research and teaching, and his trajectory suggests both strong theoretical foundations and practical skill in deploying vision-language models.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at VNUHCM - University of Science
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at University of Arkansas
A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", which is accepted in ICCV 2019.
Contributions:167 commits in 4 months
pytorchiccviccv-2019boundarymatching-network
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Khoa Vo - Postdoctoral Fellow at University of Arkansas