We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
It is important to predict and analyze user acceptance of information technology in order to address success and failures of technological products. The Theory of Reasoned Action ...
This paper presents an approach for creating realistic shadows of objects composited into a novel background. Existing techniques either do not deal with the shadows or require th...
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...