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Understanding shading effects in images is critical for a variety of vision and graphics problems, including intrinsic image decomposition, shadow removal, image relighting, and inverse rendering. As is the case with other vision tasks, machine learning is a promising approach to understanding shading - but there is little ground truth shading data available for real-world images. We introduce Shading...
With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and accessory images. We would like to answer questions like 'What outfit goes well with this pair of shoes?' To answer these types of questions, one has to go beyond learning visual similarity and learn a visual notion of compatibility across categories. In this...
Distributed Hash Table (DHT) algorithms structure peer-to-peer networks to provide nodes with fast and scalable lookups. In recent DHT solutions, such as Chord and Kademlia, the contacts of a node in the overlay network are determined so as to keep up with a lookup cost of O(logN) in a network of N nodes. As opposed to these, one of the first DHT solutions, called Content Addressable Network (CAN),...
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