Tu Vo
Portrait of Tu Vo

Tu Vo

Research Scientist at KC Machine Learning Lab (ML2)

Seoul, South Korea

I work on computer vision and deep learning, with a focus on image restoration problems such as deblurring, low-light enhancement, and HDR imaging.

I received my M.S. from CILAB at Pukyong National University, and my B.S. in Electrical Engineering from Hanoi University of Science and Technology. I am always open to new opportunities and collaborations.

Reach me at vovantu.hust@gmail.com.

CV Google Scholar GitHub Email

News

Jun 2026 DAS accepted to the ICML Workshop on Machine Learning for Audio.
Apr 2026 Serving on the program committee for the International Workshop on Embedded and Mobile Deep Learning (@ ACM MobiSys).
Sep 2025 ErA accepted to NeurIPS COML 2025 (poster).
Oct 2024 JUDE accepted to WACV 2025 (project page).
Sep 2023 Ranked 6th in the Budgeted Model Training challenge at ICCV 2023.
Feb 2022 Joined KC Machine Learning Lab as a Research Scientist.
Apr 2021 Attention! Stay Focus! published at CVPRW 2021.

Publications

  1. Preview for DAS
    ICML MLA Workshop 2026

    Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification

    Tu Vo et al.

    ICML Workshop on Machine Learning for Audio, 2026

    Paper Code

  2. Preview for ErA
    NeurIPS COML 2025

    ErA: Error-Aware Deep Unrolling Network for Single Image Defocus Deblurring

    Tu Vo, Chan Y. Park

    NeurIPS Workshop on Constrained Optimization for Machine Learning, 2025

    Paper Poster

  3. Preview for JUDE
    WACV 2025

    Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE)

    Tu Vo, Chan Y. Park

    IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

    Paper Project Page

  4. Preview for the RCV challenge paper
    ICCVW 2023

    Benchmarking Model Training and Inference for Resource-Constrained Deep Learning

    Rishabh Tiwari, Arnav Chavan, … Tu Vo, and collaborators

    ICCV Workshop on Resource-Constrained Vision, 2023

    Paper

  5. Preview for Attention! Stay Focus!
    CVPRW 2021

    Attention! Stay Focus!

    Tu Vo

    CVPR Workshops (NTIRE), 2021

    Paper Code

  6. Preview for HDR video synthesis work
    IEEE Access 2020

    High Dynamic Range Video Synthesis Using Superpixel-Based Illuminance-Invariant Motion Estimation

    Tu Vo, Chul Lee

    IEEE Access, 2020

    Paper

Service

Reviewer
WACV 2025, ICLR 2025, ECCV 2026
Program Committee
International Workshop on Embedded and Mobile Deep Learning (@ ACM MobiSys)