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Uncurated image-text datasets: Shedding light on demographic bias
The increasing tendency to collect large and uncurated datasets to train vision-and-language models has raised concerns about fair …
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ACT2G: Attention-based Contrastive Learning for Text-to-Gesture Generation
Recent increase of remote-work, online meeting and tele-operation task makes people find that gesture for avatars and communication …
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Analyzing Font Style Usage and Contextual Factors in Real Images
There are various font styles in the world. Different styles give different impressions and readability. This paper analyzes the …
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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 real-world scenarios. While the latest LLMs are astonishingly …
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Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
Video summarization aims to select a most informative subset of frames in a video to facilitate efficient video browsing. Unsupervised …
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Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph
Fake news detection in social media has become increasingly important due to the rapid proliferation of personal media channels and the …
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Inverse Rendering of Translucent Objects using Physical and Neural Renderers
In this work, we propose an inverse rendering model that estimates 3D shape, spatially-varying reflectance, homogeneous subsurface …
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Acquiring a Dynamic Light Field Through a Single-Shot Coded Image
We propose a method for compressively acquiring a dynamic light field (a 5-D volume) through a single-shot coded image (a 2-D …
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AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Evaluation measures have a crucial impact on the direction of research. Therefore, it is of utmost importance to develop appropriate …
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Gender and Racial Bias in Visual Question Answering Datasets
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