Tam Nguyen Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Dr. Tam V. Nguyen's research program focuses on 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 3,400 citations. His work has appeared in prominent journals such as the International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (T-IP), and IEEE Transactions on Multimedia (T-MM), as well as leading conferences including the International Joint Conference on Artificial Intelligence (IJCAI) and the AAAI Conference on Artificial Intelligence (AAAI).
His recent publications investigate areas including bio-inspired object segmentation, unsupervised deep cross-modal hashing, image synthesis, and the detection of AI-generated images. Further research explores transformer-based methods for unsupervised traffic anomaly detection in aerial videos, contributing to the development of novel drone datasets for this purpose. Dr. Nguyen also works on context-aware safety assessment systems for far-field monitoring.
Dr. Nguyen holds an h-index of 30 and is recognized as a highly cited researcher. He collaborates with other researchers at the University of Arkansas at Fayetteville, including Trong-Thuan Nguyen, with whom he has co-authored five publications. He maintains an active laboratory website to disseminate his group's work.
Metrics
- h-index: 30
- Publications: 551
- Citations: 3,457
Selected Publications
- CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation (2025) DOI
- The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation (2024) DOI
- ARtVista: Gateway To Empower Anyone Into Artist (2024) DOI
- iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer (2024) DOI
- A Comprehensive Analysis of Object Detectors in Adverse Weather Conditions (2024) DOI
- MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation (2024) DOI
- Transformer-Based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos (2024) DOI
- VIDES: Virtual Interior Design via Natural Language and Visual Guidance (2023) DOI
- DM-VTON: Distilled Mobile Real-time Virtual Try-On (2023) DOI
- Program Management Integrated with Data and Decision Sciences (2023) DOI
- AI vs. AI: Can AI Detect AI-Generated Images? (2023) DOI
- Sketch-to-image synthesis via semantic masks (2023) DOI
- Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic (2023) DOI
- MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation (2023) DOI
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval (2023) DOI
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