Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
We present a novel and effective method for modeling a developable surface to simulate paper bending in interactive and animation applications. The method exploits the representat...
The rapid evolution of automatic shape acquisition technologies will make huge amount of sampled 3D data available in the near future. Cultural Heritage (CH) domain is one of the ...
Marco Callieri, Federico Ponchio, Paolo Cignoni, R...
In this paper, we present an efficient method to synthesize large-scale scenes, such as broad city landscapes. To date, model based approaches have mainly been adopted for this pu...
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...