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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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August 29, 2016

Fashion! Turn to the left! Computational model for visual stimuli

Clothing fashions are usually expressed with visual stimuli, for example style, color or texture. A collaboration of researchers from Shenzhen University, Sun Yat-sen University and University of South Carolina decided to use machine learning and computer vision techniques to see which visual stimulus has higher influence on updating of clothing fashion. They have proposed a […]

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August 19, 2016

Seeing with Humans: Gaze-Assisted Neural Image Captioning

Gaze tracking uses human gaze data for various applications in computer-vision systems, since gaze reflects how humans process visual scenes. Recently, researchers from Max Planck Institute for Informatics, Saarbrucken wanted to know whether gaze data can also be beneficial for scene-centric tasks, such as image captioning. They presented a new perspective on gaze-assisted image captioning […]

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