Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
ParaMor, our unsupervised morphology induction system performed well at Morpho Challenge 2008. When ParaMor's morphological analyses, which specialize at identifying inflecti...
Christian Monson, Jaime G. Carbonell, Alon Lavie, ...
Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear come...
Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, J...