State-of-the-art methods for scalable Gaussian processes use iterative algorithms, requiring
fast matrix vector multiplies (MVMs) with the co-variance kernel. The Structured Kernel …

Edge-preserving filtering is an essential tool for image processing applications and has
various types of filtering. High-dimensional Gaussian filtering (HDGF) supports a wide range …

A convenient solution to RGB-Infrared photography is to extend the basic RGB mosaic with a
fourth filter type with high transmittance in the near-infrared band. Unfortunately, applying …

Object detection has seen a surge of interest in recent years, which has lead to increasingly
effective techniques. These techniques, however, still mostly perform detection based on …

Exploiting contextual relationships across images has recently proven key to improve object
detection. The resulting object co-detection algorithms, however, fail to exploit the …

Abstract Segmentation of the Whole Cardiac CT Image Sequence is the Key to Computer-
baseddiagnosis and the analysis of internal lesions in the Human Heart. According to the …

Motivated by classical Euler's Tonnetz, we introduce and study the combinatorics and
topology of more general simplicial complexes Tonn ^n,k(L) of Tonnetz type. Out main result …

Noise is inherent in digital systems. To smooth a point cloud while preserving sharp edges,
a new 3D bilateral filter is proposed. It uses the point cloud normal vector in addition to color …

An efficient method for simultaneous human body part segmentation and pose estimation is
introduced. A conditional random field with a fully-connected graphical model is used …