Vinh Tran
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
10 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 (17)
action-recognition10
deep-learning9
tensorflow7
pytorch4
python4
computer-vision4
3d3
graph-convolutional-networks3
detectron3
object-detection2
faster-rcnn2
epic2
knife1
distributed-training1
annotations1
Programming languages (2)
Github contributions (5)
tqvinhcs/tqvinhcs.github.io
Sep 2021 - Feb 2026
Contributions:45 pushes, 1 branch in 4 years 5 months
tqvinhcs/C3D-tensorflow
Nov 2017 - Apr 2018
Action recognition with C3D network implemented in tensorflow
Contributions:48 commits, 47 pushes, 1 branch in 5 months
action-recognitiontensorflowvideovideo-classificationc3d
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