Vinh Tran
Research Scientist at SpreeAI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolVinh Tran is a research scientist with 9 years of experience specializing in computer vision and human action understanding, now applying generative AI to digital humans at SpreeAI. He earned a PhD in Computer Science from Stony Brook University, where his research advanced early action recognition, action anticipation, cross-modal text-video retrieval, and hands/active-object detection in first-person videos. Vinh has bridged academia and industry through internships and visiting roles—contributing scene text recognition techniques at VinAI and building an award-winning video browsing tool at the National Institute of Informatics. He combines strong teaching experience in machine learning with hands-on research deployment, favoring knowledge distillation and cross-modal similarity as practical levers for training on unannotated data. Known for turning complex temporal and multimodal problems into tractable systems, he blends deep technical rigor with a pragmatic focus on real-world video understanding applications.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Information Systems, Master of Science - MS Information Systems at VNUHCM - University of ScienceDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stony Brook University
Vietnamese, English
Github Skills (15)
unsupervised-learning4
graph4
deep-learning3
computer-vision3
action-recognition3
graph-convolutional-networks3
tensorflow3
pytorch2
clustering2
epic2
annotations1
knife1
python1
distributed-training1
gpu1
Programming languages (1)
Github contributions (5)
tqvinhcs/C3D-tensorflow
Nov 2017 - Apr 2018
Contributions:48 commits, 47 pushes, 1 branch in 5 months
tqvinhcs/VideoTransformations
Apr 2018 - Aug 2019
Contributions:37 commits, 31 pushes, 1 branch in 1 year 5 months
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