Tu Vo

I'm a research scientist at KC Machine Learning Lab (ML2) in Seoul, South Korea, working on Computer Vision. (Last update: Feb 2022).

I got the Master Degree from CILAB at Pukyong National University. Before that, I received B.S. degrees in Electrical from Hanoi University of Science and Technology. I am always open to new opportunities and collaborations. Please contact me if you are interested in my work or want to connect with me.

Email  /  CV  /  Scholar  /  Github

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News


Research


I am interested in Computer Vision and Deep Learning. My research mainly focuses on finding solutions to low-level vision tasks such as Deblurring, High Dynamic Range Image or Low-light Image Enhancement.
Some papers are highlighted.

Benchmarking Model Training and Inference for Resource-Constrained Deep Learning
... Tu Vo ...
ICCVW, 2023
Paper

If you want to get your best model with a low budget. Take a look.

Attention! Stay Focus!
Tu Vo
CVPRW, 2021
Paper / Code

A model to generate all-in-focus image from dual views.

High Dynamic Range Video Synthesis Using Superpixel-Based Illuminance-Invariant Motion Estimation
Tu Vo, Chul Lee
CVPRW, 2023
Paper

Generating High Dynamic Range Video from alternative Low Dynamic Range Input Sequences.

Community Activites


  • Conference Reviewer: WACV 2025, ICLR 2025.

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