Abstract: Hyperspectral image super-resolution aims to reconstruct high-quality spatial–spectral cubes from RGB images. However, the limited spectral coverage of RGB inputs hinders the simultaneous ...

Abstract: Conventional approaches to traffic data collection often involve the use of RGB cameras. In an outdoor scenario, the data collected is affected by many factors, such as poor/excessive ...

What's CODE SWITCH? It's the fearless conversations about race that you've been waiting for. Hosted by journalists of color, our podcast tackles the subject of race with empathy and humor. We explore ...

Obtaining the complete morphology of tomato fruits under non-destructive conditions is essential for phenotype research, yet fruit occlusions often hinder deep learning-based image segmentation ...

We are extremely delighted to release SuperEdit. SuperEdit achieves state-of-the-art image editing performance by improving the supervision quality. Our method does not require extra VLM modules or ...

Partitions images into complexity-balanced regions of varying shapes and positions using an entropy-driven algorithm; Represents each region as a 2D Gaussian (mean for position, covariance for shape) ...

Gazans have had to load up their lives in search of refuge multiple times throughout the war. As thousands were forced to flee again this week, a Times photographer joined them heading south. Gazans ...