Trong-Thuan Nguyen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
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Biography and Research Information
OverviewAI-generated summary
Trong-Thuan Nguyen's research focuses on developing and improving computational models for image analysis and document processing. His work includes the development of models for disease recognition in X-ray images, often incorporating insights from medical consultation processes. He has also investigated methods for object detection in document images, including specific applications for Vietnamese documents, and has explored the use of advanced neural network architectures such as R-CNN and ViT. Nguyen's research extends to natural language processing and computer vision, with publications on text-based retrieval of 3D models and the creation of novel datasets for food recognition in Vietnamese cuisine. He collaborates with other researchers at the University of Arkansas at Fayetteville, including Pha Nguyen, Jackson Cothren, and Tam Nguyen, with whom he shares multiple publications.
Metrics
- h-index: 7
- Publications: 37
- Citations: 128
Selected Publications
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HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025)
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VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models (2025)
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MedGraph-RPE: Graph-Based Medical Segmentation Enhanced by Novel Relative Positioning Encoding (2025)
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DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models (2025)
Collaboration Network
Top Collaborators
- Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic
- Multiclass Skin Disease Classification within Dermoscopic Images Using Deep Neural Networks
- MobileNet-SA: Lightweight CNN with Self Attention for Sketch Classification
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- MedGraph-RPE: Graph-Based Medical Segmentation Enhanced by Novel Relative Positioning Encoding
Showing 5 of 15 shared publications
- Parsing Digitized Vietnamese Paper Documents
- Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- A Benchmark of Parsing Vietnamese Publications
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
Showing 5 of 13 shared publications
- Parsing Digitized Vietnamese Paper Documents
- Page Object Detection with YOLOF
- VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
- Guided Anchoring Cascade R-CNN: An intensive improvement of R-CNN in Vietnamese Document Detection
- Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model
Showing 5 of 10 shared publications
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- MobileNet-SA: Lightweight CNN with Self Attention for Sketch Classification
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- SHREC 2025: Retrieval of Optimal Objects for Multi-modal Enhanced Language and Spatial Assistance (ROOMELSA)
Showing 5 of 10 shared publications
- Parsing Digitized Vietnamese Paper Documents
- Page Object Detection with YOLOF
- VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
- Guided Anchoring Cascade R-CNN: An intensive improvement of R-CNN in Vietnamese Document Detection
- Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model
Showing 5 of 9 shared publications
- 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
- 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
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- LUMOS-DM: Landscape-Based Multimodal Scene Retrieval Enhanced by Diffusion Model
- ACM Multimedia Grand Challenge on ENT Endoscopy Analysis
- Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation
Showing 5 of 6 shared publications
- 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
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- 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
- THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
- CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
- CDeRSNet: Towards High Performance Object Detection in Vietnamese Document Images
- A Benchmark of Parsing Vietnamese Publications
- VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- ACM Multimedia Grand Challenge on ENT Endoscopy Analysis
- Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation
- Toward Content-Based Indexing and Retrieval of Head and Neck CT With Abscess Segmentation
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation
- TextANIMAR: Text-based 3D animal fine-grained retrieval
- SketchANIMAR: Sketch-based 3D animal fine-grained retrieval
- SHREC 2025: Retrieval of Optimal Objects for Multi-modal Enhanced Language and Spatial Assistance (ROOMELSA)
- VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
- VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
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