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cs.CV2025
Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
Ali Rasekh, Erfan Bagheri Soula, Omid Daliran +2
Despite significant advances in Multimodal Large Language Models (MLLMs), understanding complex temporal dynamics in videos remains a major challenge. Our experiments show that cur…
cs.CV2025
Multi-Rationale Explainable Object Recognition via Contrastive Conditional Inference
Ali Rasekh, Sepehr Kazemi Ranjbar, Simon Gottschalk
Explainable object recognition using vision-language models such as CLIP involves predicting accurate category labels supported by rationales that justify the decision-making proce…