2 citations · 6 across the 14 of their papers we have counts for
6 papers · 1 filter
MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz +1
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen e…
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…