This image captures a richly detailed section of the Milky Way, showcasing a tapestry of stars and glowing nebulas. Against a ...

Scientists created the most accurate three-dimensional map of star-formation regions in our Milky Way galaxy, based on data ...

Here is how designers can break functional systems into sub-functional chiplets and use advanced packaging integration ...

A new app lets cruise travellers replay their journeys and track their preferred ships in real time, for a more immersive and ...

LoD-Loc tackles visual localization w.r.t a scene represented as LoD 3D map. Given a query image and its pose prior, the method utilizes the wireframe of LoD models to recover the camera pose. This ...

This is the reference implementation of the paper "Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences" presented at CVPR 2024. The paper introduces Metric Keypoints (MicKey), a ...

Abstract: Convolutional Neural Networks (CNNs) have achieved promising success on 3D medical imaging analysis, for instance classification of glioma tumours on Magnetic Resonance (MR) images. However, ...

Researchers from UGA’s Skidaway Institute of Oceanography use tools to measure on Tybee Island. Credit: Emily Jones/WABE, Grist Our newsletters uncover the insights you need to understand the issues ...

This coverage is made possible through a partnership between Grist and WABE, Atlanta’s NPR station. At low tide on Tybee Island, Georgia, the beach stretches out as wide as it gets with the small ...

This coverage is made possible through a partnership between WABE and Grist, a nonprofit environmental media organization. At low tide on Georgia’s Tybee Island, the beach stretches out wide as small ...

Abstract: Recognizing traversable terrain from 3D point cloud data is critical, as it directly impacts the performance of autonomous navigation in off-road environments. However, existing segmentation ...