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cs.CV2026
IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
Aarish Shah Mohsin, Mohammed Tayyab Ilyas Khan, Mohammad Nadeem +3
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale training data with Indian being particularly misrepresented. Existing fairness-a…
cs.CV2025
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models
Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail +2
Animal stereotypes are deeply embedded in human culture and language. They often shape our perceptions and expectations of various species. Our study investigates how animal stereo…
cs.CV2025
Gender Bias in Text-to-Video Generation Models: A case study of Sora
Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria +2
The advent of text-to-video generation models has revolutionized content creation as it produces high-quality videos from textual prompts. However, concerns regarding inherent bias…