activity
20092020
most citedRobust Image Segmentation in Low Depth Of Field Images

72 citations · 105 across the 10 of their papers we have counts for

collaborators

10 papers

cs.DB2020★ 1 cited

Complete and Sufficient Spatial Domination of Multidimensional Rectangles

Tobias Emrich, Hans-Peter Kriegel, Andreas Züfle +2

Rectangles are used to approximate objects, or sets of objects, in a plethora of applications, systems and index structures. Many tasks, such as nearest neighbor search and similar…

cs.DB2014

Scalable Density-Based Distributed Clustering

Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle

Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr…

cs.DB2013★ 1 cited

Probabilistic Nearest Neighbor Queries on Uncertain Moving Object Trajectories

Johannes Niedermayer, Andreas Züfle, Tobias Emrich +4

Nearest neighbor (NN) queries in trajectory databases have received significant attention in the past, due to their application in spatio-temporal data analysis. Recent work has co…

cs.CV2013★ 72 cited

Robust Image Segmentation in Low Depth Of Field Images

Franz Graf, Hans-Peter Kriegel, Michael Weiler

In photography, low depth of field (DOF) is an important technique to emphasize the object of interest (OOI) within an image. Thus, low DOF images are widely used in the applicatio…

cs.AI2012★ 17 cited

Infinite Hidden Relational Models

Zhao Xu, Volker Tresp, Kai Yu +1

In many cases it makes sense to model a relationship symmetrically, not implying any particular directionality. Consider the classical example of a recommendation system where the…

cs.SI2011

Maximum Gain Round Trips with Cost Constraints

Franz Graf, Hans-Peter Kriegel, Matthias Schubert

Searching for optimal ways in a network is an important task in multiple application areas such as social networks, co-citation graphs or road networks. In the majority of applicat…