2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
MICap: A Unified Model for Identity-aware Movie Descriptions
Haran Raajesh, Naveen Reddy Desanur, Zeeshan Khan +1
Characters are an important aspect of any storyline and identifying and including them in descriptions is necessary for story understanding. While previous work has largely ignored…
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…