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Fool me once…

October 31, 2017

Fool me once…

Researchers Jiawei Su, Danilo Vasconcellos Vargas and Sakurai Kouichi from Japan’s Kyushu University have developed a method to fool AI image classifiers by changing the value of a single pixel in an image. They wanted to trick a deep neural network and automate their attacks, which one could not be able to detect with a […]

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3D selfie

October 11, 2017

3D selfie

Computer scientists at the University of Nottingham and Kingston University have developed technology capable of producing 3D facial reconstruction from a single 2D image. Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression was led by PhD students Aaron Jackson and Adrian Bulat in the Computer Vision Laboratory in the […]

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Primate face recognition

June 21, 2017

Primate face recognition

Our brains have evolved to recognize and remember faces ever since we were infants, since the first thing we learn is to look at the faces of those around us and recognize them, and later instantly identify them. Brain-imaging studies revealed that we have the so-called face patches in our temporal lobe in our bran […]

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Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media

June 12, 2017

Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media

A collaboration of researchers from MIT, Northeastern University and Qatar Computing Research Institute developed a new tool called Face-to-BMI, in which they used computer-vision algorithms and machine learning to infer a person’s BMI from social media images. Usually, researchers from a variety of backgrounds are interested in studying obesity from all angles. Traditionally, a person […]

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Deep Neural Networks Do Not Recognize Negative Images

March 22, 2017

Deep Neural Networks Do Not Recognize Negative Images

Deep Neural Networks have achieved remarkable performance on a variety of pattern-recognition tasks, particularly visual classification problems, where new algorithms reported to achieve or even surpass the human performance. Unlike computers, humans have an overall sense of the objects and can recognize them in various forms such as different scales, orientations, colors or brightness. Since […]

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