32 citations · 49 across the 16 of their papers we have counts for
18 papers
DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow
Liyuan Zhu, Yuru Jia, Shengyu Huang +4
Existing work on scene flow estimation focuses on autonomous driving and mobile robotics, while automated solutions are lacking for motion in nature, such as that exhibited by debr…
Birkhoff generic points on curves in horospheres
Omri Nisan Solan, Andreas Wieser
Let be a diagonalizable subgroup whose expanding horospherical subgroup is abelian. By the Birkhoff ergodic…
Dynamic 3D Scene Analysis by Point Cloud Accumulation
Shengyu Huang, Zan Gojcic, Jiahui Huang +2
Multi-beam LiDAR sensors, as used on autonomous vehicles and mobile robots, acquire sequences of 3D range scans ("frames"). Each frame covers the scene sparsely, due to limited ang…
Equidistribution of rational subspaces and their shapes
Menny Aka, Andrea Musso, Andreas Wieser
To any -dimensional subspace of one can naturally associate a point in the Grassmannian and two shapes of lattices of rank and $n-k…
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…
Simultaneous supersingular reductions of CM elliptic curves
Menny Aka, Manuel Luethi, Philippe Michel +1
We study the simultaneous reductions at several supersingular primes of elliptic curves with complex multiplication. We show -- under additional congruence assumptions on the CM or…
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…
Planes in four space and four associated CM points
Menny Aka, Manfred Einsiedler, Andreas Wieser
To any two-dimensional rational plane in four-dimensional space one can naturally attach a point in the Grassmannian Gr(2,4) and four lattices of rank two. Here, the first two latt…
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…
Linnik's problems and maximal entropy methods
Andreas Wieser
We use maximal entropy methods to examine the distribution properties of primitive integer points on spheres and of CM points on the modular surface. The proofs we give are a moder…
Jaccard analysis and LASSO-based feature selection for location fingerprinting with limited computational complexity
Caifa Zhou, Andreas Wieser
We propose an approach to reduce both computational complexity and data storage requirements for the online positioning stage of a fingerprinting-based indoor positioning system (F…
WiFi based trajectory alignment, calibration and easy site survey using smart phones and foot-mounted IMUs
Yang Gu, Caifa Zhou, Andreas Wieser +1
Foot-mounted inertial positioning (FMIP) can face problems of inertial drifts and unknown initial states in real applications, which renders the estimated trajectories inaccurate a…
Pedestrian Positioning Using WiFi Fingerprints and a Foot-mounted Inertial Sensor
Yang Gu, Caifa Zhou, Andreas Wieser +1
Foot-mounted inertial positioning (FMIP) and fingerprinting based WiFi indoor positioning (FWIP) are two promising solutions for indoor positioning. However, FMIP suffers from accu…
Fast Radio Map Construction and Position Estimation via Direct Mapping for WLAN Indoor Localization System
Caifa Zhou, Andreas Wieser, Xuezhi Tan
The main limitation that constrains the fast and comprehensive application of Wireless Local Area Network (WLAN) based indoor localization systems with Received Signal Strength (RS…
Application of backpropagation neural networks to both stages of fingerprinting based WIPS
Caifa Zhou, Andreas Wieser
We propose a scheme to employ backpropagation neural networks (BPNNs) for both stages of fingerprinting-based indoor positioning using WLAN/WiFi signal strengths (FWIPS): radio map…