2 citations · 6 across the 14 of their papers we have counts for
9 papers · 1 filter
Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis
Salman Shaik, Truong Thanh Hung Nguyen, Hung Cao
Accurate classification of diffuse gliomas is often hindered by domain shifts across centers and a lack of large, annotated datasets. We propose the Anatomically-conditioned Latent…
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
Seyed Alireza Rahimi Azghadi, Truong-Thanh-Hung Nguyen, Helene Fournier +4
The aging population is growing rapidly, and so is the danger of falls in older adults. A major cause of injury is falling, and detection in time can greatly save medical expenses…
Multimedia Verification Through Multi-Agent Deep Research Multimodal Large Language Models
Huy Hoan Le, Van Sy Thinh Nguyen, Thi Le Chi Dang +3
This paper presents our submission to the ACMMM25 - Grand Challenge on Multimedia Verification. We developed a multi-agent verification system that combines Multimodal Large Langua…
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Loc Phuc Truong Nguyen, Hung Truong Thanh Nguyen, Hung Cao
Explainable Artificial Intelligence (XAI) techniques for interpreting object detection models remain in an early stage, with no established standards for systematic evaluation. Thi…
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Hung Cao
Recent advancements in deep learning have significantly improved visual quality inspection and predictive maintenance within industrial settings. However, deploying these technolog…
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen +3
To address the challenges of providing quick and plausible explanations in Explainable AI (XAI) for object detection models, we introduce the Gaussian Class Activation Mapping Expl…
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen +5
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite…
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal +1
Visual quality inspection systems, crucial in sectors like manufacturing and logistics, employ computer vision and machine learning for precise, rapid defect detection. However, th…
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI
Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao +3
The rising use of Artificial Intelligence (AI) in human detection on Edge camera systems has led to accurate but complex models, challenging to interpret and debug. Our research pr…