Rang NGUYEN

About

I am currently a Research Scientist at VinAI. Before that, I was a lecturer at Ho Chi Minh City University of Technology (HCMUT) from 2018 to 2020, and a Research Fellow at School of Computing, National University of Singapore (NUS) from 2016 to 2018. I did my PhD in Computer Science at NUS from 2012 to 2016 under the supervision of Prof. Michael S. Brown. Before joining in NUS, I obtained my Bachelor degree in Computer Science and Engineering from HCMUT in 2010.

My research interests are image processing, computer vision, artificial intelligence, machine learning, and deep learning.

News

Feb 2023, One paper got accepted to CVPR 2023.

Jan 2023, Our paper titled "PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement" was awarded Best Paper Honorable Mention Prize at WACV 2023.

Oct 2022, One paper got accepted to WACV 2023 (Round 2).

Aug 2022, One paper got accepted to WACV 2023 (Round 1).

Jul 2022, Two papers got accepted to ECCV 2022.

Feb 2022, Our paper on GAN Inversion got accepted to CVPR 2022.

Sep 2021, Our paper on Few-shot learning got accepted to NeurIPS 2021.

Aug 2020, I join VinAI as a Research Scientist.

Apr 2019, I join JKA as a Data Scientist Architect.

Apr 2018, I join HCMUT as a Lecturer.

Mar 2018, Our paper on Localization got accepted to CVPR 2018.

Jul 2017, My PhD graduation ceremony

Jun 2017, Our paper on Multi-image recoloring got accepted to PG 2017.

Jun 2017, Our paper on RAW Image Reconstruction got accepted with minor revision to IJCV.

Jun 2017, I am moving to Assist. Prof. Gim Hee Lee's group. My current research project is on 3D Vision for Autonomous Vehicles.

Mar 2017, Our paper titled "Why You Should Forget Luminance Conversion and Do Something Better" got accepted to CVPR 2017.

Sep 2016, I have been promoted to Research Fellow at NUS.

Aug 2016, I successfully defended my PhD dessertation.

Teaching

Apr-Aug 2020, Introduction to Artificial Intelligence, Advanced Machine Learning.

Nov-Mar 2020, A special course of Deep Learning and its Applications for Bosch's staffs.

Aug-Dec 2019, Fundamentals of C++ Programming, Programming Principles.

Jun-Aug 2019, A special course of Deep Learning and its Applications for Xoontec's staffs.

Jan-May 2019, Data Structure & Algorithm (DSA), Introduction to Artificial Intelligence, and Advanced Image Processing and Computer Vision.

Aug-Dec 2018, Data Structure & Algorithm (DSA), and Introduction to Image Processing.

Jun-Aug 2018, Fundamentals of C++ Programming course.

Professional Services

Reviewer for journals: TPAMI, IJCV, TIP

Reviewer for conferences: CVPR2019/2020/2021/2022, ICCV2017/2021, NeurIPS2021, AAAI2021, WACV2020/2021/2022

Publications

	Hue Nguyen, Diep Tran, Khoi Nguyen, Rang Nguyen PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement WACV 2023 [pdf] [project page & code]
	Khoi Duc Nguyen, Quoc-Huy Tran, Khoi Minh Duc Nguyen, Binh-Son Hua, Rang Nguyen POODLE: Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments ECCV 2022 [pdf] [project page & code]
	Tan M. Dinh, Rang Nguyen, Binh-Son Hua TISE: A Toolbox for Text-to-Image Synthesis Evaluation ECCV 2022 [pdf] [project page & code]
	Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua HyperInverter: Improving StyleGAN Inversion via Hypernetwork CVPR 2022 [pdf] [project page & code]
	Duong Le, Khoi Duc Nguyen, Khoi Minh Duc Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NeurIPS 2021 [pdf] [project page & code]
	Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System ICRA 2019 [pdf]
	Sixing Hu, Mengdan Feng, Rang Nguyen, and Gim Hee Lee CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization CVPR 2018 [pdf] [project page & code]
	Rang Nguyen, and Michael S. Brown *RAW Image Reconstruction using a Self-Contained sRGB-JPEG Image with Small Memory Overhead* IJCV 2017 [pdf]
	Rang Nguyen, Brian Price, Scott Cohen, and Michael S. Brown *Group-Theme Recoloring for Multi-Image Color Consistency* Computer Graphics Forum 2017 (Proceeding of Pacific Graphics) [pdf] [supp] [video] [project page & code]
	Rang Nguyen, and Michael S. Brown *Why You Should Forget Luminance Conversion and Do Something Better* CVPR 2017 [pdf] [supp]
	Rang Nguyen, and Michael S. Brown, *RAW Image Reconstruction using a Self-Contained sRGB-JPEG Image with only 64 KB Overhead* CVPR 2016 [pdf]
	Rang Nguyen, and Michael S. Brown *Fast and Effective L0 Gradient Minimization by Region Fusion* ICCV 2015 [pdf] [C++ code] [Matlab wrapper] [project page]
	Rang Nguyen, Seon Joo Kim, Michael S. Brown *Illuminant Aware Gamut-Based Color Transfer* Computer Graphics Forum 2014 [pdf] [bibtex] [Matlab code]
	Rang Nguyen, Dilip K. Prasad, Michael S. Brown *Training-Based Spectral Reconstruction from a Single RGB Image* ECCV 2014 [pdf] [bibtex] [project page]
	Rang Nguyen, Dilip K. Prasad, Michael S. Brown *Raw-to-raw: Mapping between image sensor color responses* CVPR 2014 [pdf] [bibtex] [project page]

Last updated: Aug 2022