Papers by Lisa Hendricks

2 papers
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining (2023.emnlp-main)

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Challenge: Recent work in vision-and-language pretraining has investigated supervised signals from object detection data to learn better, fine-grained multimodal representations.
Approach: They propose two approaches to contextualise visual entities in a multimodal setup by using verbalised scene graphs and masked relation prediction.
Outcome: The proposed models can learn better representations from weakly-supervised relations data.
Benchmarking Vision Language Models for Cultural Understanding (2024.emnlp-main)

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Challenge: Recent multimodal vision-language models have shown impressive performance in tasks such as image-to-text generation, visual question answering, and image captioning.
Approach: They propose a visual question-answering benchmark to assess VLMs' cultural understanding of various facets of culture from 11 countries across 5 continents.
Outcome: The visual question-answering benchmark aims to assess VLMs' cultural understanding across regions.

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