Short Bio
Pha Nguyen is currently a Ph.D Candidate in Computer Science at University of Arkansas. Before pursuing his doctorate study, he obtained his B.Sc degree from Vietnam National University. He was also a Research Engineer at VinAI Research.
His particular research interests lie in visual discriminative and generative models. His goal is to cultivate a well-rounded set of skills in R&D, with a focus on visual (with language) understanding and reasoning systems.
Research Topics: Multimodal LLMs [CVPR'25], Video Diffusion Models [NeurIPS'24, IJCV'25], Vision Language Models [NeurIPS'23], Relational Interaction via Scene Graph Generation [NeurIPS'24, CVPR'24], Multiple Object Tracking [PR'24, CVPR'21].
Distributing Datasets: Scene Graph Generation [ASPIRe], Anticipation [AeroEye] and Reasoning [VSGR], Grounded Object Tracking [GroOT].
Research Experience
Applied Scientist Intern @ AWS AI Labs
Topic: Multimodal LLMs & RAGResearch Collaborator w/ Microsoft Research
Topic: Video Diffusion Models [IJCV'25]Research Engineer @ VinAI Research
Selected Publication
Read more- Papers
- Articles
Hierarchical Interlacement Graph Approach to Scene Graph Generation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Retrieve Any Object via Prompt-based Tracking
Advances in Neural Information Processing Systems (NeurIPS), 2023
A Dynamic Graph Model for Multi-Camera Multiple Object Tracking
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021
Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion
International Journal of Computer Vision, 2025
Multi-Camera Multi-Object Tracking on the Move via
Single-Stage
Global Association Approach
Pattern Recognition, 2024