most citedEfficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

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…

cs.CV20242 cited

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…

cs.CV20241 cited

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…

cs.CV2024

Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations

Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang +4

Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our "Exam Monitor…

cs.CV20241 cited

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…