3 papers
cs.CV2026
TactileEval: A Step Towards Automated Fine-Grained Evaluation and Editing of Tactile Graphics
Adnan Khan, Abbas Akkasi, Majid Komeili
Tactile graphics require careful expert validation before reaching blind and visually impaired (BVI) learners, yet existing datasets provide only coarse holistic quality ratings th…
cs.CV2025
TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment
Adnan Khan, Alireza Choubineh, Mai A. Shaaban +2
Tactile graphics are essential for providing access to visual information for the 43 million people globally living with vision loss. Traditional methods for creating these graphic…
cs.CV2025
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
Mai A. Shaaban, Adnan Khan, Mohammad Yaqub
Chest X-ray images are commonly used for predicting acute and chronic cardiopulmonary conditions, but efforts to integrate them with structured clinical data face challenges due to…