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cs.CV2025
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
Md. Atabuzzaman, Andrew Zhang, Chris Thomas
Large Vision-Language Models (LVLMs) have demonstrated impressive performance on vision-language reasoning tasks. However, their potential for zero-shot fine-grained image classifi…
cs.CV2025
ENTER: Event Based Interpretable Reasoning for VideoQA
Hammad Ayyubi, Junzhang Liu, Ali Asgarov +10
In this paper, we present ENTER, an interpretable Video Question Answering (VideoQA) system based on event graphs. Event graphs convert videos into graphical representations, where…