Chuong Huynh

I'm a Ph.D. candidate in Computer Science at Univeristy of Maryland, College Park, advised by Prof. Abhinav Shrivastava.

Before that, I was a research resident and a research engineer at VinAI Research, Vietnam (now Qualcomm AI Research), under the mentorship of Prof. Minh Hoai. I obtained my B.S. in Computer Science from University of Science, Vietnam National University, Ho Chi Minh City in 2018 under the supervision of Prof. Minh-Triet Tran.

My research passion lies at the intersection of computer vision and user interaction. I leverage Large Language Models to advance image-text alignment and have previously developed cutting-edge techniques for highly detailed interactive segmentation and matting.

I am seeking for full-time positions (research scientist/ engineer) in computer vision and large language models. Please contact me if you have any opportunities.

Email / CV / Scholar / LinkedIn / Twitter / Github

Experience

Research Intern, Vision Intelligence at Samsung Research America May 2025 - recent
Work on Image and Text Alignment.
Mentor: Deen Dayal Mohan, Hossein Souri, and Vitali Petsiuk

Applied Scientist Intern, Rufus Multimodal at Amazon.com May 2024 - Dec 2024
Work on Composed Image Retrieval.
Mentor: Jinyu Yang and Son Tran

Research Intern, Digital Media at Adobe Research May 2023 - Dec 2023
Work on Image and Video Matting.
Mentor: Joon-Young Lee and Seoung Wug Oh

Research Intern, Photoshop ART at Adobe Research May 2022 - May 2023
Work on Interactive Segmentation.
Mentor: Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman and Sohrab Amirghodsi

Research Resident and Engineer, VinAI Research now Qualcomm AI Research July 2019 - July 2021
Work on High-Resolution Segmentation.
Mentor: Prof. Minh Hoai and Anh Tran

Research

First author papers are highlighted.

	CoLLM: A Large Language Model for Composed Image Retrieval Chuong Huynh, Jinyu Yang, Ashish Tawari, Mubarak Shah, Son Tran, Raffay Hamid, Trishul Chilimbi, Abhinav Shrivastava CVPR, 2025 project page / arXiv A model working on composed image retrieval without manual annotated data.
	VeriGraph: Scene Graphs for Execution Verifiable Robot Planning Daniel Ekpo, Mara Levy, Saksham Suri, Chuong Huynh, Abhinav Shrivastava under review arXiv A action planning model leveraged visual scene graph.
	MaGGIe: Mask Guided Gradual Human Instance Matting Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee CVPR, 2024 project page / arXiv / code / poster A unified and efficient model working on human image and video instance matting.
	Composing Object Relations and Attributes for Image-Text Matching Khoi Pham, Chuong Huynh, Abhinav Shrivastava CVPR, 2024 arXiv / code / poster A vision-language alignment model with scene graph.
	SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava CVPR, 2023 project page / arXiv / video / poster A single-click distracting object segmentation model.
	Progressive Semantic Segmentation Chuong Huynh, Anh Tran, Khoa Luu, Minh Hoai CVPR, 2021 arXiv / code / video / poster / slides A high-resolution semantic segmentation model with coarse-to-fine refinement.
	Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement Chuong Huynh, Trung-Hieu Nguyen, Minh-Triet Tran KSE, 2018 arXiv / code / talk / slides A chest x-ray diagnosis model with bone shadow exclusion.

Service

Reviewers: CVPR, ECCV, ICCV, ACCV, NeurIPS, TPAMI

Thank Dr. Jon Barron for sharing the source code of his personal page.