Professors Emma Alexander, Manling Li, Han Liu, Marcelo Worsley, and their students represented Northwestern CS at CVPR 2026 ...

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...

Abstract: Image segmentation is an application area of computer vision and digital image processing that partitions a digital image into multiple image regions or segments. This process involves ...

New York, USA - US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, ...

Abstract: This paper investigates one of the most fundamental computer vision problems: image segmentation. We propose a supervised hierarchical approach to object-independent image segmentation.

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

LONDON--(BUSINESS WIRE)--Ultralytics, a global leader in vision AI at the edge, has completed a $30 million Series A funding round led by Elephant with participation from SquareOne. “Ultralytics’ ...

The official code repo for the paper Stochastic Segmentation with Conditional Categorical Diffusion Models, accepted at the International Conference on Computer Vision (ICCV) 2023. Semantic ...

Abstract: Recent advances in foundational Vision Language Models (VLMs) have reshaped the evaluation paradigm in computer vision tasks. These foundational models, especially CLIP, have accelerated ...

1 Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China. 2 Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.

Semantic segmentation is an area of computer vision that specialises in dividing an image into regions based on pixel characteristics to identify objects or boundaries, simplifying image analysis. The ...