1 citations · 3 across the 5 of their papers we have counts for
9 papers
Weakly Supervised Learning of Rigid 3D Scene Flow
Zan Gojcic, Or Litany, Andreas Wieser +2
We propose a data-driven scene flow estimation algorithm exploiting the observation that many 3D scenes can be explained by a collection of agents moving as rigid bodies. At the co…
PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov +2
We introduce PREDATOR, a model for pairwise point-cloud registration with deep attention to the overlap region. Different from previous work, our model is specifically designed to…
An iterative scheme for feature based positioning using a weighted dissimilarity measure
Caifa Zhou, Andreas Wieser
We propose an iterative scheme for feature-based positioning using a new weighted dissimilarity measure with the goal of reducing the impact of large errors among the measured or m…
Modified Jaccard Index Analysis and Adaptive Feature Selection for Location Fingerprinting with Limited Computational Complexity
Caifa Zhou, Andreas Wieser
We propose an approach for fingerprinting-based positioning which reduces the data requirements and computational complexity of the online positioning stage. It is based on a segme…
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
Zan Gojcic, Caifa Zhou, Jan D. Wegner +1
We propose 3DSmoothNet, a full workflow to match 3D point clouds with a siamese deep learning architecture and fully convolutional layers using a voxelized smoothed density value (…
CDM: Compound dissimilarity measure and an application to fingerprinting-based positioning
Caifa Zhou, Andreas Wieser
A non-vector-based dissimilarity measure is proposed by combining vector-based distance metrics and set operations. This proposed compound dissimilarity measure (CDM) is applicable…