GitHub

Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks

This repository is code release for our paper (arXiv report here). Sparse voxel-based 3D convolutional neural networks (CNNs) are widely used for various 3D vision tasks. Sparse voxel-based 3D CNNs ...
GitHub

Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images

1 Institute of AI, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China. 2 Department of Radiology, Union Hospital, Tongji Medical College, ...
eLife

Modality-agnostic decoding of vision and language from fMRI

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
eLife

Serotonergic modulation of motor subspace dynamics drives a sleep-independent quiescent state

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
IEEE

Learning-Based Spatial Interpolation for Sparse Space Altimetry Measurements

Abstract: Generating continuous models from sparse measurements remains a key challenge in remote sensing due to the limited availability and high cost of dense data collection. Traditional ...