They've developed a computer vision algorithm that ranks the creativity of art based on how similar it is to earlier works in terms of everything from color and texture to the presence of familiar ...

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

*Not like this robot-vision stuff is hard work by engineers, or anything. Efficiently solving multi-label MRFs (Readme) (C/C++ code) Segmentation, object category labelling, stereo Multi-label ...

Computer Vision Algorithms Are Still Way Too Easy to Trick. By . Jackie Snow archive page; December 20, 2017. AI image recognition has made some stunning advances, but as new research shows, the ...

"In other words, if a computer vision algorithm is expecting a face, give it what it wants," the project's page says. "I got inspiration from false coloration in the animal kingdom," Harvey said.

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Researchers adapted a well-known computer-vision algorithm used for sharpening photos and, for the first time, applied it to astronomical images from ground-based telescopes. While astrophysicists ...