activity
20152021
most citedDepth-Based Object Tracking Using a Robust Gaussian Filter

63 citations · 70 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2021★ 3 cited

ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence

Haoxi Tan, Mahin Chandramohan, Cristina Cifuentes +2

Malware analysis is still largely a manual task. This slow and inefficient approach does not scale to the exponential rise in the rate of new unique malware generated. Hence, autom…

cs.SE2020★ 2 cited

Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases

Ya Xiao, Yang Zhao, Nicholas Allen +4

Enterprise environment often screens large-scale (millions of lines of code) codebases with static analysis tools to find bugs and vulnerabilities. Parfait is a static code analysi…

cs.RO2017★ 1 cited

Real-time Perception meets Reactive Motion Generation

Daniel Kappler, Franziska Meier, Jan Issac +7

We address the challenging problem of robotic grasping and manipulation in the presence of uncertainty. This uncertainty is due to noisy sensing, inaccurate models and hard-to-pred…

cs.RO2016★ 63 cited

Depth-Based Object Tracking Using a Robust Gaussian Filter

Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes +3

We consider the problem of model-based 3D-tracking of objects given dense depth images as input. Two difficulties preclude the application of a standard Gaussian filter to this pro…

stat.ML2015

Robust Gaussian Filtering using a Pseudo Measurement

Manuel Wüthrich, Cristina Garcia Cifuentes, Sebastian Trimpe +4

Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor…

cs.RO2015★ 1 cited

A New Perspective and Extension of the Gaussian Filter

Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler +1

The Gaussian Filter (GF) is one of the most widely used filtering algorithms; instances are the Extended Kalman Filter, the Unscented Kalman Filter and the Divided Difference Filte…