Tam Nguyen Data-verified

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

High Impact

Associate Professor

Last publication 2025 Last refreshed 2026-04-25

faculty

30 h-index 553 pubs 3,592 cited

Biography and Research Information

OverviewAI-generated summary

Dr. Tam V. Nguyen is an Associate Professor and Graduate Program Director in the Department of Computer Science at the University of Arkansas at Fayetteville. His research encompasses artificial intelligence, computer vision, machine learning, and multimedia content analysis. He has authored or co-authored over 550 research papers, which have garnered more than 3,500 citations, and holds an h-index of 30. His work has appeared in numerous high-impact journals, including the International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (T-IP), and IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), as well as in leading conferences such as the International Joint Conference on Artificial Intelligence (IJCAI) and the AAAI Conference on Artificial Intelligence (AAAI).

Dr. Nguyen's recent publications explore a range of topics within his research areas. These include developing bio-inspired methods for camouflaged object segmentation (MirrorNet, 2021), attention mechanisms for polyp segmentation in medical imaging (CCBANet, 2021), and unsupervised deep cross-modal hashing techniques (2022). He has also investigated AI's capability to detect AI-generated images (2023) and developed Transformer-based approaches for unsupervised traffic anomaly detection in aerial videos, including the creation of a novel drone dataset for this purpose (UIT-ADrone, 2023). His work also extends to context-aware safety assessment systems for far-field monitoring (2023).

Metrics

  • h-index: 30
  • Publications: 553
  • Citations: 3,592

Selected Publications

  • CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation (2025)
    3 citations DOI OpenAlex
  • The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation (2024)
    10 citations DOI OpenAlex
  • ARtVista: Gateway To Empower Anyone Into Artist (2024)
    4 citations DOI OpenAlex
  • iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer (2024)
    3 citations DOI OpenAlex
  • A Comprehensive Analysis of Object Detectors in Adverse Weather Conditions (2024)
    4 citations DOI OpenAlex
  • MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation (2024)
    10 citations DOI OpenAlex
  • Transformer-Based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos (2024)
    34 citations DOI OpenAlex
  • VIDES: Virtual Interior Design via Natural Language and Visual Guidance (2023)
    5 citations DOI OpenAlex
  • DM-VTON: Distilled Mobile Real-time Virtual Try-On (2023)
    9 citations DOI OpenAlex
  • Program Management Integrated with Data and Decision Sciences (2023)
    3 citations DOI OpenAlex
  • AI vs. AI: Can AI Detect AI-Generated Images? (2023)
    38 citations DOI OpenAlex
  • Sketch-to-image synthesis via semantic masks (2023)
    6 citations DOI OpenAlex
  • Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic (2023)
    10 citations DOI OpenAlex
  • MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation (2023)
    20 citations DOI OpenAlex
  • SketchANIMAR: Sketch-based 3D animal fine-grained retrieval (2023)
    6 citations DOI OpenAlex

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