Tam Nguyen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
faculty
Research Areas
Links
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)
-
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation (2024)
-
ARtVista: Gateway To Empower Anyone Into Artist (2024)
-
iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer (2024)
-
A Comprehensive Analysis of Object Detectors in Adverse Weather Conditions (2024)
-
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation (2024)
-
Transformer-Based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos (2024)
-
VIDES: Virtual Interior Design via Natural Language and Visual Guidance (2023)
-
DM-VTON: Distilled Mobile Real-time Virtual Try-On (2023)
-
Program Management Integrated with Data and Decision Sciences (2023)
-
AI vs. AI: Can AI Detect AI-Generated Images? (2023)
-
Sketch-to-image synthesis via semantic masks (2023)
-
Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic (2023)
-
MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation (2023)
-
SketchANIMAR: Sketch-based 3D animal fine-grained retrieval (2023)
Collaboration Network
Top Collaborators
- MirrorNet: Bio-Inspired Camouflaged Object Segmentation
- CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation
- MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation
- Traffic Video Event Retrieval via Text Query using Vehicle Appearance and Motion Attributes
- CamouFinder: Finding Camouflaged Instances in Images
Showing 5 of 19 shared publications
- MirrorNet: Bio-Inspired Camouflaged Object Segmentation
- Image synthesis: a review of methods, datasets, evaluation metrics, and future outlook
- CamouFinder: Finding Camouflaged Instances in Images
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Showing 5 of 16 shared publications
- MirrorNet: Bio-Inspired Camouflaged Object Segmentation
- Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing
- Few-shot object detection via baby learning
- Instance-Level Few-Shot Learning With Class Hierarchy Mining
- MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Showing 5 of 8 shared publications
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- DM-VTON: Distilled Mobile Real-time Virtual Try-On
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- VIDES: Virtual Interior Design via Natural Language and Visual Guidance
- Public Speaking Simulator with Speech and Audience Feedback
Showing 5 of 7 shared publications
- Image synthesis: a review of methods, datasets, evaluation metrics, and future outlook
- AI vs. AI: Can AI Detect AI-Generated Images?
- Olympic Games Event Recognition via Transfer Learning with Photobombing Guided Data Augmentation
- Sketch-to-image synthesis via semantic masks
- House Price Prediction via Visual Cues and Estate Attributes
Showing 5 of 6 shared publications
- Transformer-Based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos
- UIT-ADrone: A Novel Drone Dataset for Traffic Anomaly Detection
- Anomaly Analysis in Images and Videos: A Comprehensive Review
- Parsing Digitized Vietnamese Paper Documents
- Vietnamese Document Analysis: Dataset, Method and Benchmark Suite
Showing 5 of 6 shared publications
- MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
- Camouflaged Instance Segmentation In-The-Wild: Dataset And Benchmark Suite
- Interactive Video Object Mask Annotation
- Data-Driven City Traffic Planning Simulation
- CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation
- Parsing Digitized Vietnamese Paper Documents
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- A Benchmark of Parsing Vietnamese Publications
- Few-shot object detection via baby learning
- Instance-Level Few-Shot Learning With Class Hierarchy Mining
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation
- MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation
- CamouFinder: Finding Camouflaged Instances in Images
- Camouflaged Instance Segmentation In-The-Wild: Dataset And Benchmark Suite
- Context-aware safety assessment system for far-field monitoring
- R<sup>2</sup>U3D: Recurrent Residual 3D U-Net for Lung Segmentation
- Impact of loss functions on semantic segmentation in far‐field monitoring
- Self-supervised sub-category exploration for Pseudo label generation
- CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation
- MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation
- Traffic Video Event Retrieval via Text Query using Vehicle Appearance and Motion Attributes
- Text Query based Traffic Video Event Retrieval with Global-Local Fusion Embedding
- Anomaly Analysis in Images and Videos: A Comprehensive Review
- Parsing Digitized Vietnamese Paper Documents
- Vietnamese Document Analysis: Dataset, Method and Benchmark Suite
- A Benchmark of Parsing Vietnamese Publications
- Context-aware safety assessment system for far-field monitoring
- Impact of loss functions on semantic segmentation in far‐field monitoring
- Semi-supervised domain adaptation for segmentation models on different monitoring settings
- Self-supervised sub-category exploration for Pseudo label generation
- Context-aware safety assessment system for far-field monitoring
- Impact of loss functions on semantic segmentation in far‐field monitoring
- Semi-supervised domain adaptation for segmentation models on different monitoring settings
- Self-supervised sub-category exploration for Pseudo label generation
Similar Researchers
Based on overlapping research topics