GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

There’s a Global Network of Fungi Under Your Feet. This Is the First Complete Map

A new study has succeeded in mapping, on a global scale, the fungal network that supports plant life and helps regulate our ...

Diffractive networks enable optical information transfer through random and unknown diffusers

The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
IEEE

Enhanced Spatial-Spectral Attention Network for Hyperspectral Image Unmixing

Abstract: Deep learning has shown great promise in hyperspectral unmixing (HU), especially the unmixing methods based on autoencoder (AE) networks, which are the most prevalent these days. Since most ...
IEEE

Revisiting Semantic Gap in U-shaped Networks from a Performance Oriented Perspective: Quantification, Visualization, and Optimization

Abstract: Automatic medical image segmentation is a fundamental component of computer-aided diagnosis. U-shaped networks (U-Nets) remain the most widely adopted architecture due to their suitability ...
CNET

Apple's Spatial Reframing Is Generative AI I Can Get Behind as a Photographer

Jeff Carlson writes about mobile technology for CNET. He is also the author of dozens of how-to books covering a wide spectrum ranging from Apple devices and cameras to photo editing software and ...