1 citations · 1 across the 4 of their papers we have counts for
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Semantic Saliency from Multi-Modal Large Language Model Scene Understanding Maps
Ziqi Wen, Shravan Murlidaran, Jonathan Skaza +2
Image-computable low-level image saliency has shaped perceptual psychology and computer science, but is limited by its inability to capture human high-level cognitive factors that…
Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models
Shravan Murlidaran, Miguel P. Eckstein
Vision language models (VLMs) have made remarkable progress in visual reasoning during the last decade. Most evaluations have used simple scenes (MS-COCO) that do not showcase comp…
Why We Look Where We Look: Emergent Human-like Fixations of a Foveated Visual Language Model Maximizing Scene Understanding
Shravan Murlidaran, Ziqi Wen, Sana Shehabi +1
When humans view scenes without a specific task (free-viewing), they initially direct their eye movements toward the scene center and then fixate on people, text, objects being gaz…