I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...

Abstract: Image semantic segmentation algorithm divides the image into several specific regions with unique properties, and extracts the objects of interest, it has been widely used in medical image ...

Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...

Superpixel segmentation algorithms constitute a crucial advancement in image processing and computer vision, wherein images are partitioned into perceptually meaningful regions with homogenous ...

ABSTRACT: An aerial photographic coverage acquired on two consecutive days in October 2021 with a ground resolution of 20 cm and a spectral resolution of 4 bands (red, green, blue and near infrared), ...

In January, I tapped on the “explore” page of my Instagram account and was greeted with a flood of food-related posts. Fruit had too much sugar to be healthy. You should switch out buns for lettuce on ...

The latest AI image generation models utilize cutting-edge techniques like diffusion and pruning to create stunning, realistic images with unprecedented quality A guide for legal leaders who need a ...

At the same time, the history of European colonialism on the continent has led to blocks of African nations sharing similar colonial and post-colonial infrastructures, sometimes necessitating the ...

Semantic segmentation is a type of computer vision technique that assigns a label to every pixel in an image. The label indicates the class of object that the pixel represents. Semantic segmentation ...

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and ...