We examine visual representations of data that make use of combinations of both 2D and 3D data mappings. Combining 2D and 3D representations is a common technique that allows viewers to understand ...

Human actions in videos are three-dimensional (3D) signals. Recent attempts use 3D convolutional neural networks (CNNs) to explore spatio-temporal information for human action recognition. Though ...

This repository provides the implementation and resources for SSAI-3D (Nature Communications 2025), a deep learning framework for achieving high-fidelity isotropic 3D resolution recovery in microscopy ...