2 citations · 2 across the 1 of their papers we have counts for
4 papers
SRL-CLIP: Efficient CLIP Video Adaptation via Structured Semantic Role Labels
Darshan Singh, Zeeshan Khan, Makarand Tapaswi
Adapting CLIP for videos has gained popularity due to its semantic and rich representation. While CLIP is a good starting point, it typically undergoes post-pretraining (contrastiv…
ComposeAnything: Composite Object Priors for Text-to-Image Generation
Zeeshan Khan, Shizhe Chen, Cordelia Schmid
Generating images from text involving complex and novel object arrangements remains a significant challenge for current text-to-image (T2I) models. Although prior layout-based meth…
VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment
Darshana Saravanan, Varun Gupta, Darshan Singh +3
A fundamental aspect of compositional reasoning in a video is associating people and their actions across time. Recent years have seen great progress in general-purpose vision or v…
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination
Salman Rakin, Md. A. R. Shibly, Zahin M. Hossain +2
While ongoing advancements in Large Language Models have demonstrated remarkable success across various NLP tasks, Retrieval Augmented Generation Model stands out to be highly effe…