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

Abstract: This study proposes a computer vision learning kit for artificial intelligence (AI) using an edge-AI machine and Python programming language. The learning set consists of three parts: a ...

In industries where compliance violations can directly impact customer health, this becomes incredibly important.

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...

Large language models, or LLMs, are the AI engines behind Google’s Gemini, ChatGPT, Anthropic’s Claude, and the rest. But they have a sibling: VLMs, or vision language models. At the most basic level, ...

Efficient processing of information is crucial for the optimization of neural resources in both biological and artificial visual systems. In this paper, we study the efficiency that may be obtained ...

With the growth of the global population and increasing demand for food, agricultural production is under significant pressure. At the same time, climate change and resource constraints exacerbate ...

Cameron Devers, Tyler Abla, and Gage Russell, Taurex Drill Bits, USA, delve into the use of computer vision for PDC cutter damage classification, demonstrating how advanced image analysis is ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

In the past decade, computer vision (CV), machine learning (ML), and artificial intelligence (AI) have been applied to problems in the history and interpretation of fine-art paintings and drawings.