IEEE

DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering

Abstract: Image segmentation is a fundamental task in computer vision. Data annotation for training supervised methods can be labor-intensive, motivating unsupervised methods. Current approaches often ...
IEEE

Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network

Abstract: Human motor learning is a neural process essential for acquiring new motor skills and adapting existing ones, which is fundamental to everyday activities. Neurological disorders such as ...
Digital Production

Nuke 17.0 rewires 3D and adds Gaussian Splats

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.
Dot Physics on MSN

Creating animated graphs using VPython Glowscript for visualizations

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...