Seobin Park
Graduate Research Assistant
South Korea
Summary
👤
Senior🎓
Top SchoolSeobin Park is a PhD student and graduate research assistant at UT Austin’s LIVE lab with eight years of experience in VR video processing, computer vision, and machine learning. His research focuses on perceptually driven VR video algorithms grounded in the human visual system, bridging academic rigor with industry applicability. He has interned at Amazon, Dolby, KakaoBrain, and NAVER, contributing to projects from efficient diffusion models for text-to-image generation to AR map navigation and a patented lightweight vehicle recognition module. Comfortable moving between prototyping and systems-level optimization, he brings both C++/MKL performance engineering and modern AI research expertise. Based in South Korea, he pairs a strong Hanyang University foundation with active PhD work under Dr. Alan Bovik, making him adept at turning perceptual insights into practical video and vision solutions.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at AustinMaster's degree, Computer Science, Master's degree, Computer Science at Hanyang University
Github Skills (45)
python10
machine-learning10
deep-learning10
gpu10
numpy9
acceleration9
autograd9
tensorflow9
neural-network9
tensor9
gpu-acceleration9
adaptation9
cpp8
openmp8
meta-learning8
Programming languages (2)
Github contributions (5)
parkseobin/VDSR-pytorch-tf2
Apr 2020 - May 2020
VDSR implementation with PyTorch and Tensorflow 2
Contributions:41 commits, 4 PRs, 34 pushes in 1 month
pytorchvdsrdeep-learningtensorflowtensorflow-2
hyuvilab/seobin_logger
Aug 2020 - Sep 2020
Contributions:25 commits, 1 branch, 1 comment in 1 month
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