4 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…