Pha Nguyen Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Chair

University of Arkansas at Fayetteville

faculty

7 h-index 36 pubs 139 cited

Research Areas

Advanced Neural Network Applications Computer Vision and Pattern Recognition Object Tracking Algorithms Machine Learning for Activity Recognition Autonomous Vehicle Perception Systems Self-Supervised Learning Techniques Multi-Camera Systems

Links

ORCID Lab Website

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OverviewAI-generated summary

Pha Nguyen's research focuses on advancing computer vision and artificial intelligence techniques, particularly in the areas of object tracking and activity recognition. Recent publications explore self-supervised learning methods for spatiotemporal transformers, enabling more accurate group activity recognition in complex environments. Nguyen has also investigated multi-camera systems for robust 3D object tracking, a critical component for autonomous vehicle development. Other work includes developing zero-shot and prompt-based tracking methods for greater versatility in object retrieval. This work is supported by collaborations with researchers at the University of Arkansas at Fayetteville, including Page D. Dobbs, Khoa Luu, Trong-Thuan Nguyen, and Jackson Cothren.

Nguyen's scholarly contributions are reflected in a h-index of 7, with 36 total publications and 139 citations. The researcher's recent activity indicates an ongoing engagement with the field, with publications dating as recently as 2024 and a projected 2025 publication.

Metrics

  • h-index: 7
  • Publications: 36
  • Citations: 139

Selected Publications

  • HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025) DOI
  • Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion (2025) DOI
  • SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025) DOI
  • Depth Perspective-Aware Multiple Object Tracking (2024) DOI
  • React: recognize every action everywhere all at once (2024) DOI
  • HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos (2024) DOI
  • Multi-camera multi-object tracking on the move via single-stage global association approach (2024) DOI
  • REACT: Recognize Every Action Everywhere All At Once (2024) DOI
  • HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos (2023) DOI
  • SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition (2023) DOI
  • Self-Supervised Domain Adaptation in Crowd Counting (2022) DOI

Collaborators

Researchers in the database who share publications

Page D. Dobbs University of Arkansas at Fayetteville 9 shared publications Khoa Luu University of Arkansas at Fayetteville 9 shared publications Trong-Thuan Nguyen University of Arkansas at Fayetteville 7 shared publications Jackson Cothren University of Arkansas at Fayetteville 7 shared publications Han‐Seok Seo University of Arkansas at Fayetteville 5 shared publications Alexander Nelson University of Arkansas at Fayetteville 5 shared publications Naga Venkata Sai Raviteja Chappa University of Arkansas at Fayetteville 4 shared publications Xuan-Bac Nguyen University of Arkansas at Fayetteville 2 shared publications

Similar Researchers

Based on overlapping research topics

Naga Venkata Sai Raviteja Chappa University of Arkansas at Fayetteville
Advanced Neural Network Applications Computer Vision and Pattern Recognition Machine Learning for Activity Recognition
Good match 3 shared topics