We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Highly realistic virtual human models are rapidly becoming commonplace in computer graphics. These models, often represented by complex shape and requiring labor-intensive process...
Nadia Magnenat-Thalmann, Hyewon Seo, Frederic Cord...
We describe a system that automatically generates varied geometric models of human faces. A collection of random measurements of the face is generated according to anthropometric ...
Douglas DeCarlo, Dimitris N. Metaxas, Matthew Ston...
Interface personalization can improve a user’s performance and subjective impression of interface quality and responsiveness. Personalization is difficult to implement as it req...