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07/04/2023
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
The recent advances in NLP, have led to a new trend of applying LLMs to ...
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04/20/2023
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
The duality of content and style is inherent to the nature of art. For h...
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04/07/2023
Model-Agnostic Gender Debiased Image Captioning
Image captioning models are known to perpetuate and amplify harmful soci...
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04/06/2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
The increasing tendency to collect large and uncurated datasets to train...
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08/23/2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
Is more data always better to train vision-and-language models? We study...
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05/17/2022
Gender and Racial Bias in Visual Question Answering Datasets
Vision-and-language tasks have increasingly drawn more attention as a me...
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03/29/2022
Quantifying Societal Bias Amplification in Image Captioning
We study societal bias amplification in image captioning. Image captioni...
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02/03/2022
The Met Dataset: Instance-level Recognition for Artworks
This work introduces a dataset for large-scale instance-level recognitio...
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10/26/2021
Transferring Domain-Agnostic Knowledge in Video Question Answering
Video question answering (VideoQA) is designed to answer a given questio...
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09/13/2021
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Have you ever looked at a painting and wondered what is the story behind...
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06/25/2021
A Picture May Be Worth a Hundred Words for Visual Question Answering
How far can we go with textual representations for understanding picture...
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05/25/2021
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
The rise of digitization of cultural documents offers large-scale conten...
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01/14/2021
Understanding the Role of Scene Graphs in Visual Question Answering
Visual Question Answering (VQA) is of tremendous interest to the researc...
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09/30/2020
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
Computational art analysis has, through its reliance on classification t...
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08/28/2020
A Dataset and Baselines for Visual Question Answering on Art
Answering questions related to art pieces (paintings) is a difficult tas...
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07/17/2020
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
To understand movies, humans constantly reason over the dialogues and ac...
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04/17/2020
Knowledge-Based Visual Question Answering in Videos
We propose a novel video understanding task by fusing knowledge-based an...
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10/23/2019
KnowIT VQA: Answering Knowledge-Based Questions about Videos
We propose a novel video understanding task by fusing knowledge-based an...
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04/24/2019
Understanding Art through Multi-Modal Retrieval in Paintings
In computer vision, visual arts are often studied from a purely aestheti...
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04/10/2019
Context-Aware Embeddings for Automatic Art Analysis
Automatic art analysis aims to classify and retrieve artistic representa...
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10/23/2018
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
Automatic art analysis has been mostly focused on classifying artworks i...
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10/19/2017
Dress like a Star: Retrieving Fashion Products from Videos
This work proposes a system for retrieving clothing and fashion products...
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09/05/2017
