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From Communications of the ACM

Technical Perspective: When the Adversary Is Your Friend

The key insight of the "Generative Adversarial Networks," by Ian Goodfellow et al., is to learn a generative model's loss function at the same time as learning...

What Makes Paris Look Like Paris?
From Communications of the ACM

What Makes Paris Look Like Paris?

Given a large repository of geo-tagged imagery, we seek to automatically find visual elements, for example windows, balconies, and street signs, that are most distinctive...

From Communications of the ACM

Technical Perspective: Portraiture in the Age of Big Data

"Moving Portraits" is, in some sense, part of the perpetual quest to capture the perfect portrait. Its principal contribution is in adapting this age-old problem...

Scene Completion Using Millions of Photographs
From Communications of the ACM

Scene Completion Using Millions of Photographs

What can you do with a million images? In this paper, we present a new image completion algorithm powered by a huge database of photographs gathered from the Web...
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