CVPR
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Graceful AI
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As machine-learning-based decision systems improve rapidly, we are discovering that it is no longer enough for them to perform well on their own. They ...

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Amazon at CVPR: Pietro Perona on computer vision’s frontiers
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The Conference on Computer Vision and Pattern Recognition (CVPR) — the premier conference in the field of computer vision — was first held in 1985. Pietro ...

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Using food images to find cooking recipes
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When looking for cooking ideas, people often find inspiration on social media and in restaurants, saving screenshots or taking pictures of food they liked. ...

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Gérard Medioni named AAIA fellow
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Gérard Medioni, Amazon vice president and distinguished scientist, was recently named a fellow of the Asia-Pacific Artificial Intelligence Association ...

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Automatically identifying scene boundaries in movies and TV shows
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Scene boundary detection is the problem of localizing where scenes in a video begin and end. It’s an important step towards semantic understanding of video, ...

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CVPR: Understanding images means understanding the world
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Aleix M. Martinez, a senior principal scientist with Amazon’s retail division, first attended the Conference on Computer Vision and Pattern Recognition ...

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Anton van den Hengel’s journey from intellectual property law to computer vision pioneer
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Anton van den Hengel, an international pioneer in computer vision and its many applications, departed the University of Adelaide in South Australia to join ...

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Prime Video’s work on 3-D scene reconstruction, image representation
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At this year’s Conference on Computer Vision and Pattern Recognition (CVPR), Prime Video is presenting a pair of papers that indicate the range of problems ...

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Former Amazon intern Karsten Roth wins EMVA young professional award
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Karsten Roth, a PhD student at the University of Tübingen, was awarded the EMVA Young Professional Award for work done during his science internship at ...

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A little public data makes privacy-preserving AI models more accurate
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Many useful computer vision models are trained on large corpora of public data, such as ImageNet. But some applications — models that analyze medical images ...

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