Search Results for author: Darryl Hannan

Found 8 papers, 4 papers with code

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

1 code implementation13 Sep 2022 Adyasha Maharana, Darryl Hannan, Mohit Bansal

Hence, we first propose the task of story continuation, where the generated visual story is conditioned on a source image, allowing for better generalization to narratives with new characters.

Image Generation Story Continuation +2

Improving Generation and Evaluation of Visual Stories via Semantic Consistency

1 code implementation NAACL 2021 Adyasha Maharana, Darryl Hannan, Mohit Bansal

Therefore, we also provide an exploration of evaluation metrics for the model, focused on aspects of the generated frames such as the presence/quality of generated characters, the relevance to captions, and the diversity of the generated images.

Image Generation Story Visualization +1

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

1 code implementation22 Jan 2020 Darryl Hannan, Akshay Jain, Mohit Bansal

By analyzing this model, we investigate which words in the question are indicative of the modality.

Question Answering Transfer Learning

Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons

no code implementations CVPR 2018 Edward Kim, Darryl Hannan, Garrett Kenyon

The brain does not work solely in a feed-forward fashion, but rather all of the neurons are in competition with each other; neurons are integrating information in a bottom up and top down fashion and incorporating expectation and feedback in the modeling process.

BIG-bench Machine Learning

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