As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …

We propose the first fast and certifiable algorithm for the registration of two sets of three-
dimensional (3-D) points in the presence of large amounts of outlier correspondences. A …

Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …

We present a modular approach for analyzing calcium imaging recordings of large neuronal
ensembles. Our goal is to simultaneously identify the locations of the neurons, demix …

Investigating the functional connectivities in the brain networks of individuals with attention
deficit hyperactivity disorder (ADHD) has long intrigued researchers. ADHD individuals have …

Counting k-cliques in a graph is an important problem in graph analysis with many
applications such as community detection and graph partitioning. Counting k-cliques is …

Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …

Simple graph algorithms such as PageRank have been the target of numerous hardware
accelerators. Yet, there also exist much more complex graph mining algorithms for problems …

Understandings of the three-dimensional social behaviors of freely moving large-size
mammals are valuable for both agriculture and life science, yet challenging due to …

Molecular and genomic surveillance systems for bacterial pathogens currently rely on
tracking clonally evolving lineages. By contrast, plasmids are usually excluded or analyzed …