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Computer vision

A new study by Guenevere Chen, an assistant professor in the UTSA Department of Electrical and Computer Engineering, and her former doctoral student, Qi Xia, reveals an oversight in AI image recognition tools. The researchers identified and exploited an alpha channel attack on images by developing AlphaDog.

Researchers Uncover Critical Flaw in AI Image Recognition Tools

The picture on the left was generated by a standard method while the picture on the right was generated by ElasticDiffusion. The prompt for both images was, “Photo of an athlete cat explaining its latest scandal at a press conference to journalists.” (Image courtesy of Moayed Haji Ali/Rice University)

Rice research could make weird AI images a thing of the past

digital illustration of a mouse

Stress-free method weighs mice using computer vision

Ohio State logo

The role of machine learning and computer vision in Imageomics

Aerial pictures of grey and harbour seals in the Dutch Wadden Sea. jeroen Hoekendijk

Computers are quick and reliable in counting seals

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