To address the degradation of visual-language (VL) representations during VLA supervised fine-tuning (SFT), we introduce Visual Representation Alignment. During SFT, we pull a VLA’s visual tokens ...
In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them ...
Abstract: Self-supervised learning (SSL) is an efficient pre-training method for medical image analysis. However, current research is mostly confined to certain modalities, consuming considerable time ...
Tangible data visualizations are physical objects that represent data. Think of a sculpture made from LEGOs showing how busy a project is, or a knitted pattern representing work hours. You can touch ...
A team of Northwestern Medicine investigators recently began developing a library of visual icons to support research participant comprehension of informed consent forms.
One of the cover images resembling the "Lunch Atop a Skyscraper" photograph from the 1930s shows eight tech leaders sitting ...
The Cool Down on MSN
Meteorologist debunks misleading claims about major trend: 'They're still talking about it'
"Thank you so much for this!" Meteorologist debunks misleading claims about major trend: 'They're still talking about it' ...
CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
Abstract: Reconstructing visual stimulus representation is a significant task in neural decoding. Until now, most studies have considered functional magnetic resonance imaging (fMRI) as the signal ...
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