Hoang M. Le

AI Engineer · PhD in Computer Science

Portrait of Hoang M. Le

I'm an AI engineer and computer vision researcher. I received my PhD in Computer Science from York University in 2024, advised by Prof. Michael S. Brown in the Computational Vision and Imaging Lab. Before that, I earned an MSc from POSTECH in South Korea.

My doctoral research focused on color science for camera imaging: recovering the wide-gamut colors that are lost when photos are converted from ProPhoto RGB to sRGB. I developed three approaches (a deep network, metadata-based color subsampling, and a lightweight MLP), released large-scale datasets, and published at CVPR and CIC. The GamutMLP work with Adobe led to a granted US patent. During my PhD I also interned at Samsung AI Center Toronto, on deep-learning white balance for smartphone cameras, and at Borealis AI, on deep survival analysis.

Today I'm an AI Engineer at Sunvair, building LLM-agent platforms that connect language models to enterprise data and tools. I continue to collaborate on research in vision-language models and video retrieval.

Selected publications

ECCV'26

ESC: Emotional Self-correction for Reliable Vision Language Models

Tien-Huy Nguyen, Minh-Nhat Nguyen, Nhat-Huy Nguyen, Hung-Viet Nguyen, Huy Minh Nhat Nguyen, Thanh-Huy Nguyen, Cuong Tuan Nguyen, Hoang M. Le, Dat Nguyen, Phat Kim Huynh, et al.

European Conference on Computer Vision (ECCV), pp. 488–506, 2026

JOSA A'25

Improved Mapping Between Illuminations and Sensors for RAW Images

Abhijith Punnappurath, Luxi Zhao, Hoang Le, Abdelrahman Abdelhamed, SaiKiran Kumar Tedla, Michael S. Brown

Journal of the Optical Society of America A, 42(8), pp. 1182–1190, 2025

CVPR'23

GamutMLP: A Lightweight MLP for Color Loss Recovery

Hoang M. Le, Brian Price, Scott Cohen, Michael S. Brown

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18268–18277, 2023

PDFarXivCodeProject
BibTeX
@InProceedings{Le_2023_CVPR,
  author    = {Le, Hoang M. and Price, Brian and Cohen, Scott and Brown, Michael S.},
  title     = {GamutMLP: A Lightweight MLP for Color Loss Recovery},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2023},
  pages     = {18268-18277}
}
CIC'21

GamutNet: Restoring Wide-Gamut Colors for Camera-Captured Images

Hoang Le*, Taehong Jeong*, Abdelrahman Abdelhamed, Hyun Joon Shin, Michael S. Brown

Color and Imaging Conference (CIC29), 2021 · * equal contribution

PDFCode
BibTeX
@article{Hoang_CIC2021,
  title   = {{GamutNet}: Restoring Wide-Gamut Colors for Camera-Captured Images},
  author  = {Le, Hoang and Jeong, Taehong and Abdelhamed, Abdelrahman and Shin, Hyun Joon and Brown, Michael S},
  journal = {Color and Imaging Conference},
  year    = {2021}
}
CIC'20

Improving Color Space Conversion for Camera-Captured Images via Wide-Gamut Metadata

Hoang Le, Mahmoud Afifi, Michael S. Brown

Color and Imaging Conference (CIC28), 2020

PDFCode
BibTeX
@article{Hoang_CIC2020,
  title   = {Improving Color Space Conversion for Camera-Captured Images via Wide-Gamut Metadata},
  author  = {Le, Hoang and Afifi, Mahmoud and Brown, Michael S},
  journal = {Color and Imaging Conference},
  year    = {2020}
}
All publications

Patents

Experience

  1. Sunvair

    2026 – now

    AI Engineer · Remote, USA

    Enterprise LLM-agent platform: MCP server, text-to-SQL over Oracle ERP, Microsoft 365 Copilot agents.

  2. Birdwatch

    2025 – 2026

    AI Engineer · Remote, USA

    Agent platform and a multimodal property digital twin built from 30k+ inspection images.

  3. OptimalityPro

    2024 – 2025

    AI Engineer · Remote, USA

  4. Borealis AI (RBC)

    2023 – 2024

    AI/ML Intern · Toronto

    Deep survival analysis on medical and financial data.

  5. Samsung AI Center Toronto

    2022 – 2023

    AI/ML Intern · Toronto

    Deep-learning white balance for smartphone cameras; 8,500+ image dataset.

  6. FPT Software (Airbus Skywise)

    2018 – 2019

    Software Engineer · Vietnam

Education

  1. York University

    2020 – 2024

    PhD, Computer Science · Toronto, Canada

    Advisor: Prof. Michael S. Brown

  2. POSTECH

    2016 – 2018

    MSc, Computer Science & Engineering · Pohang, South Korea

  3. Da Nang University of Science and Technology

    2009 – 2014

    BSc, Electronics & Telecommunication · Da Nang, Vietnam

Service

Reviewer · CVPR 2025, ECCV 2024, WACV 2024, CIC 2021