Computer vision has revolutionized image analysis by enabling automated recognition and interpretation of complex visual data. This study delves into recent advancements in deep learning, focusing on ...

Called RisingAttacK, the method is effective at manipulating all of the most widely used AI computer vision systems.

The overall goal of this hackathon is to provide hands-on training for the Early Stage Researchers (ESRs) of the REMARO network (but not limited to) on how to architect, program, simulate and ...

Find out how groundbreaking research on bees is reshaping our understanding of learning and recognition in AI.

Mujin OS is designed to eliminate robot programming through AI-driven autonomy, digital twin technology and real-time motion ...

This is an introductory textbook for teachers, students, professionals, and hobbyists who want to learn the basics of computer vision. The book is completely based around the OpenCV library, an open ...

Currently, computer vision is actively playing a role in several medical fields, including radiology and pathology. In regard to radiology, computer vision is being used to interpret results from ...

For Immerse, the University of Oulu developed an AR-assisted task guidance application, which works by having an expert create instructions for performing a task using a digital twin produced by ...

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal ...

One plausible solution for automating such scientific experiments is offered by a combination of robotics with computer vision and optimization (Duong et al., 2020), allowing for precise repetition, ...