Researchers have demonstrated a new way of attacking artificial intelligence computer vision systems, allowing them to ...

The system contains a sensor, chip and tiny AI model inspired by biological eyes and brains and uses a tenth of the energy of a camera-based system.

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

In an office at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, or MIT ...

What we tried, what didn't work and how a combination of approaches eventually helped us build a reliable computer vision ...

Unmanned aerial vehicle (UAV) communication systems usually operate in harsh scenarios, which require accurate information about the topology and wireless channel to achieve the desired transmission ...

In this paper, a novel image-based task-sequence/path planning scheme coupled with a robust vision/force control method is suggested for solving the multi-task operation problem of an eye-in-hand (EIH ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

OpenThinkIMG is an end-to-end open-source framework that empowers Large Vision-Language Models (LVLMs) to think with images. It features: Flexible vision tool management and easy integration of new ...