We present a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs. Our modeling approach, which combines both geometry-base...
Paul E. Debevec, Camillo J. Taylor, Jitendra Malik
Simulations of complex scientific phenomena involve the execution of massively parallel computer programs. These simulation programs generate large-scale multidimensional data set...
In this paper, we present a model-driven methodology and toolset for automatic generation of hypertext system repositories. Our code generator, called Bamboo, is based on a Contai...
In this paper we present work toward a new method of evaluation for Reality-Based Interaction Styles that we call Cognitive Description and Evaluation of Interaction (CoDeIn). Thi...
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...