We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lat...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
We introduce the interactive system “Beady” to assist the design and construction of customized 3D beadwork. The user first creates a polygonal mesh model called the design m...
We introduce an efficient method for synthesizing acceleration noise – sound produced when an object experiences abrupt rigidbody acceleration due to collisions or other contac...
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
—In this paper we propose a probabilistic model to parameterize human interactive behaviour from human motion. To Support the model taxonomy, we use Laban Movement Analysis (LMA)...