We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architectu...
We present a method for real-time 3D object detection
that does not require a time consuming training stage, and
can handle untextured objects. At its core, is a novel tem-
plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
Existing visual tracking methods are challenged by object and background appearance variations, which often occur in a long duration tracking. In this paper, we propose a combined ...