P
Pha Nguyen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Chair
faculty
7 h-index
39 pubs
160 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Pha Nguyen's research focuses on computer vision and machine learning, particularly in the areas of object tracking, activity recognition, and domain adaptation. Recent publications explore self-supervised methods for spatiotemporal activity recognition, such as SPARTAN and Sogar, and advanced multi-camera object tracking for autonomous vehicles. Nguyen has also investigated type-to-track retrieval and zero-shot generic multiple object tracking. Their work has been published in multiple venues between 2022 and 2024, with the most recent publication in 2025. Nguyen has a scholarly record indicated by an h-index of 7 and 142 total citations across 37 publications. Key collaborators include Khoa Luu, Trong-Thuan Nguyen, and Jackson Cothren from the University of Arkansas at Fayetteville, and Page D. Dobbs from the University of Arkansas for Medical Sciences, with whom Nguyen shares multiple publications.
Metrics
- h-index: 7
- Publications: 39
- Citations: 160
Selected Publications
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HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025)
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Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion (2025)
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SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025)
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Depth Perspective-Aware Multiple Object Tracking (2024)
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React: recognize every action everywhere all at once (2024)
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HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos (2024)
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Multi-camera multi-object tracking on the move via single-stage global association approach (2024)
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REACT: Recognize Every Action Everywhere All At Once (2024)
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HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos (2023)
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SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition (2023)
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Self-Supervised Domain Adaptation in Crowd Counting (2022)
Collaboration Network
Top Collaborators
Khoa Luu
34 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Self-Supervised Domain Adaptation in Crowd Counting
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Showing 5 of 34 shared publications
Kha Gia Quach
11 shared publications
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Type-to-Track: Retrieve Any Object via Prompt-based Tracking
- Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach
- Depth Perspective-Aware Multiple Object Tracking
Showing 5 of 11 shared publications
Ngan Le
9 shared publications
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Self-Supervised Domain Adaptation in Crowd Counting
- Z-GMOT: Zero-shot Generic Multiple Object Tracking
- Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach
Showing 5 of 9 shared publications
Page D. Dobbs
University at Albany, State University of New York
9 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- React: recognize every action everywhere all at once
- REACT: Recognize Every Action Everywhere All At Once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
Showing 5 of 9 shared publications
Chi Nhan Duong
Longmont United Hospital (US)
8 shared publications
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- Multi-camera multi-object tracking on the move via single-stage global association approach
- Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach
- Depth Perspective-Aware Multiple Object Tracking
- DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
Showing 5 of 8 shared publications
Trong-Thuan Nguyen
7 shared publications
In database
- HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
- HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
Showing 5 of 7 shared publications
Jackson Cothren
7 shared publications
In database
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- DINTR: Tracking via Diffusion-based Interpolation
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
Showing 5 of 7 shared publications
Alper Yılmaz
7 shared publications
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- DINTR: Tracking via Diffusion-based Interpolation
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
Showing 5 of 7 shared publications
Naga VS Raviteja Chappa
University of Arkansas at Fayetteville (US)
6 shared publications
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- REACT: Recognize Every Action Everywhere All At Once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
Showing 5 of 6 shared publications
Alexander Nelson
University of Arkansas at Fayetteville
5 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
Han‐Seok Seo
University of Arkansas at Fayetteville
5 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
Naga Venkata Sai Raviteja Chappa
University of Arkansas at Fayetteville
4 shared publications
In database
- SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
- React: recognize every action everywhere all at once
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos
- SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition
Huu Le
Chalmers University of Technology (SE)
3 shared publications
- DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
- Depth Perspective-Aware Multiple Object Tracking
- Depth Perspective-aware Multiple Object Tracking
Thanh-Dat Truong
University of Arkansas at Fayetteville
3 shared publications
In database
- Self-Supervised Domain Adaptation in Crowd Counting
- DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
- Self-supervised Domain Adaptation in Crowd Counting
Tien D. Bui
Concordia University (CA)
3 shared publications
- Depth Perspective-Aware Multiple Object Tracking
- Depth Perspective-Aware Multiple Object Tracking
- Depth Perspective-aware Multiple Object Tracking
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