Abstract: 3D dense captioning aims to semantically describe each object detected in a 3D scene, which plays a significant role in 3D scene understanding. Previous works lack a complete definition of ...
The study introduces a valuable dataset for investigating the relationship between vision and language in the brain. The authors provide convincing evidence that decoders trained on brain responses to ...
Purpose To evaluate the diagnostic accuracy of six imaging modalities—colour fundus photography (CFP), multicolour imaging (MC), blue autofluorescence (BAF), green autofluorescence (GAF), ...
[2025-04-07] The technical report for VARGPT-v1.1 is released at https://arxiv.org/pdf/2504.02949. [2025-01-22] We release the datasets for training VARGPT (7B+2B ...
Abstract: Visual intention understanding is the task of exploring the potential and underlying meaning expressed in images. Simply modeling the objects or backgrounds within the image content leads to ...
Introduction: Locoregional Recurrence (LRR) plays an inauspicious role in head and neck cancer (HNC) treatment failure. The development of prognostic models for the ...
An outstanding goal in cognitive neuroscience is to understand the relationship between neurophysiological processes and conscious experiences. More or less implicitly, it is assumed that common ...
Why is there so much more research on vision than on any other sensory modality? There is a seemingly easy answer to this question: It is because vision is our most important and most complex sense.
The independence between sound and meaning is believed to be a crucial property of language: across languages, sequences of different sounds are used to express similar concepts (e.g., Russian “ptitsa ...
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