Khoi Nguyen

Khoi Nguyen

AI Research Scientist

VinAI Research

Biography

Khoi Nguyen is a PhD in Computer Science graduating from Oregon State University. His research interests include computer vision and machine learning. His primary research includes 2D/3D understanding, encompassing areas such as reconstruction, detection, and segmentation. In addition, Khoi is actively involved in advancing 2D/3D Generation techniques, leveraging cutting-edge technologies like Diffusion Models and Neural Radiance Fields (NeRFs). He also explores the realms of Few-shot Learning and Vision-Language Models, contributing to push the boundaries of knowledge and innovation.

Interests

  • 2D/3D Understanding including Detection, Segmentation
  • 2D/3D Generation including Diffusion Models, Neural Randiance Fields (NeRFs)
  • Few-shot Learning and Vision-Language Models

Education

  • PhD in Computer Science, 2021

    Oregon State University

  • MSc in Computer Science, 2017

    Oregon State University

  • BSc in Computer Science, 2014

    Ho Chi Minh City University of Technology (Bach Khoa University)

Recent News

All news»

[09/23] One paper accepted to NeurIPS 2023. Congrats to the first authors Quang Nguyen and Truong Vu for their first paper!

[07/23] One paper accepted to ICCV 2023. Congrats to the first author Tuan Ngo for his third paper!

[03/23] One paper accepted to CVPR 2023. Cheers!

[01/23] Our paper accepted to WACV 2023 is awarded as the Best Paper - Honorable Mention!

[09/22] One paper accepted to WACV 2023. Congrats to Hue - the first author, you are deserved!

Publications

Employment

 
 
 
 
 

Research Scientist

VinAI Research

Jul 2021 – Present Hanoi, Vietnam
Computer Vision and Machine Learning Research and Mentoring
 
 
 
 
 

Research Intern

AIBee US Corp.

Jun 2019 – Sep 2019 Palo Alto, California
  • Topic: Multi-person Tracking by Segmentation in Surveillance Camera
  • Mentors: Dr. Chunhui Gu, Dr. Sinisa Todorovic, Dr. Silvio Savarese
 
 
 
 
 

Research Intern

Verisk Analytics

Jun 2018 – Sep 2018 Jersey City, New Jersey
  • Topic: Apply Graph Neural Network to image document analysis for extracting semistructured information (W2 Form)
  • Mentor: Dr. Maneesh Singh

Recent Posts