Author

Babak Taati

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Preprint Sep 2026

OpenVAM: Open-World Visual Attention Modeling with VLMs

Predicting human gaze is a core capability for applications ranging from web/UI design analysis to robotics and human-computer interaction. Yet, most visual attention modeling methods output only a dense saliency map, which is often insufficient for action: practitioners need to connect attention peaks to discrete elem...

Kiana Hooshanfar, A. Kazerouni, Alireza Hosseini et al. · 0 citations

#small language model Preprint Sep 2026

SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models

Reasoning vision-language models (VLMs) process images and videos as long sequences of visual tokens, making inference expensive. Training-free token pruning reduces this cost, but aggressive compression can sharply degrade performance, often attributed to irreversible loss of task-relevant visual information. We show...

Ahmadreza Jeddi, En-Ming Zhang, Jasper Gerigk et al. · 0 citations