3 citations · 8 across the 5 of their papers we have counts for
5 papers
T2IBias: Uncovering Societal Bias Encoded in the Latent Space of Text-to-Image Generative Models
Abu Sufian, Cosimo Distante, Marco Leo +1
Text-to-image (T2I) generative models are largely used in AI-powered real-world applications and value creation. However, their strategic deployment raises critical concerns for re…
DemoBias: An Empirical Study to Trace Demographic Biases in Vision Foundation Models
Abu Sufian, Anirudha Ghosh, Debaditya Barman +2
Large Vision Language Models (LVLMs) have demonstrated remarkable capabilities across various downstream tasks, including biometric face recognition (FR) with description. However,…
Can Vision Transformers with ResNet's Global Features Fairly Authenticate Demographic Faces?
Abu Sufian, Marco Leo, Cosimo Distante +2
Biometric face authentication is crucial in computer vision, but ensuring fairness and generalization across demographic groups remains a big challenge. Therefore, we investigated…
Human Fall Detection using Transfer Learning-based 3D CNN
Ekram Alam, Abu Sufian, Paramartha Dutta +1
Unintentional or accidental falls are one of the significant health issues in senior persons. The population of senior persons is increasing steadily. So, there is a need for an au…
Real-Time Human Fall Detection using a Lightweight Pose Estimation Technique
Ekram Alam, Abu Sufian, Paramartha Dutta +1
The elderly population is increasing rapidly around the world. There are no enough caretakers for them. Use of AI-based in-home medical care systems is gaining momentum due to this…