Universität Ulm

research

∙ 02/11/2019

Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations

To properly convey neural network architectures in publications, appropr...

Alex Bäuerle, et al. ∙

research

∙ 06/27/2022

MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

We introduce MGNet, a multi-task framework for monocular geometric scene...

Markus Schön, et al. ∙

research

∙ 10/16/2021

Automated Remote Sensing Forest Inventory Using Satelite Imagery

For many countries like Russia, Canada, or the USA, a robust and detaile...

Abduragim Shtanchaev, et al. ∙

research

∙ 07/06/2018

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions

A good and robust sensor data fusion in diverse weather conditions is a ...

Andreas Pfeuffer, et al. ∙

research

∙ 10/15/2021

Anomaly Detection in Multi-Agent Trajectories for Automated Driving

Human drivers can recognise fast abnormal driving situations to avoid ac...

Julian Wiederer, et al. ∙

research

∙ 06/05/2018

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

We propose an efficient and effective method to learn convolutions for n...

Pedro Hermosilla, et al. ∙

research

∙ 04/08/2022

Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification

Graph neural networks have triggered a resurgence of graph-based text cl...

Andor Diera, et al. ∙

research

∙ 07/01/2022

MotionMixer: MLP-based 3D Human Body Pose Forecasting

In this work, we present MotionMixer, an efficient 3D human body pose fo...

Arij Bouazizi, et al. ∙

research

∙ 07/22/2020

DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration

This work addresses the problem of point cloud registration using deep n...

Markus Horn, et al. ∙

research

∙ 08/09/2018

Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data

Convolutional neural networks gain more and more popularity in image cla...

Alex Bäuerle, et al. ∙

research

∙ 11/30/2017

Who wins the Miss Contest for Imputation Methods? Our Vote for Miss BooPF

Missing data is an expected issue when large amounts of data is collecte...

Burim Ramosaj, et al. ∙

research

∙ 10/22/2017

Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints

In this semi-tutorial paper, we first review the information-theoretic a...

Daniel T. Larsson, et al. ∙

research

∙ 06/24/2017

Justifications in Constraint Handling Rules for Logical Retraction in Dynamic Algorithms

We present a straightforward source-to-source transformation that introd...

Thom Fruehwirth, et al. ∙

research

∙ 04/16/2016

Efficient Dictionary Learning with Sparseness-Enforcing Projections

Learning dictionaries suitable for sparse coding instead of using engine...

Markus Thom, et al. ∙

research

∙ 03/28/2016

Sparse Activity and Sparse Connectivity in Supervised Learning

Sparseness is a useful regularizer for learning in a wide range of appli...

Markus Thom, et al. ∙

research

∙ 08/27/2015

Rapid Exact Signal Scanning with Deep Convolutional Neural Networks

A rigorous formulation of the dynamics of a signal processing scheme aim...

Markus Thom, et al. ∙

research

∙ 05/05/2015

The Configurable SAT Solver Challenge (CSSC)

It is well known that different solution strategies work well for differ...

Frank Hutter, et al. ∙

research

∙ 05/14/2014

Exchanging Conflict Resolution in an Adaptable Implementation of ACT-R

In computational cognitive science, the cognitive architecture ACT-R is ...

Daniel Gall, et al. ∙

research

∙ 04/15/2016

Low-Rank Matrix Recovery using Gabidulin Codes in Characteristic Zero

We present a new approach on low-rank matrix recovery (LRMR) based on Ga...

Sven Müelich, et al. ∙

research

∙ 03/14/2016

Extended Object Tracking: Introduction, Overview and Applications

This article provides an elaborate overview of current research in exten...

Karl Granström, et al. ∙

research

∙ 07/06/2012

Syntactic vs. Semantic Locality: How Good Is a Cheap Approximation?

Extracting a subset of a given OWL ontology that captures all the ontolo...

Chiara Del Vescovo, et al. ∙

research

∙ 12/14/2015

On the Relation between two Rotation Metrics

In their work "Global Optimization through Rotation Space Search", Richa...

Thomas Ruland, et al. ∙

research

∙ 10/21/2017

Eliminating Odd Cycles by Removing a Matching

We study the problem of determining whether a given graph G=(V, E) admit...

Carlos V. G. C. Lima, et al. ∙

research

∙ 09/28/2017

Finding Small Weight Isomorphisms with Additional Constraints is Fixed-Parameter Tractable

Lubiw showed that several variants of Graph Isomorphism are NP-complete,...

V. Arvind, et al. ∙

research

∙ 04/20/2016

Decoding Interleaved Gabidulin Codes using Alekhnovich's Algorithm

We prove that Alekhnovich's algorithm can be used for row reduction of s...

Sven Puchinger, et al. ∙

research

∙ 12/04/2017

Algebraic Soft Decoding Algorithms for Reed-Solomon Codes Using Module

The interpolation based algebraic decoding for Reed-Solomon (RS) codes c...

Jiongyue Xing, et al. ∙

research

∙ 01/22/2018

Improved Power Decoding of Interleaved One-Point Hermitian Codes

We propose a new partial decoding algorithm for h-interleaved one-point ...

Sven Puchinger, et al. ∙

research

∙ 01/24/2018

Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM

The numerical availability of statistical inference methods for a modern...

Sarah Friedrich, et al. ∙

research

∙ 01/26/2018

Multiplication-Combination Tests for Incomplete Paired Data

We consider statistical procedures for hypothesis testing of real valued...

Lubna Amro, et al. ∙

research

∙ 01/29/2018

Rapid Testing of IaaS Resource Management Algorithms via Cloud Middleware Simulation

Infrastructure as a Service (IaaS) Cloud services allow users to deploy ...

Christian Stier, et al. ∙

research

∙ 02/09/2018

Confluence Modulo Equivalence with Invariants in Constraint Handling Rules

Confluence denotes the property of a state transition system that states...

Daniel Gall, et al. ∙

research

∙ 03/09/2018

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning

Avoiding collisions with vulnerable road users (VRUs) using sensor-based...

Michael Goldhammer, et al. ∙

research

∙ 03/15/2018

Temporal Human Action Segmentation via Dynamic Clustering

We present an effective dynamic clustering algorithm for the task of tem...

Yan Zhang, et al. ∙

research

∙ 03/18/2018

TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

We present the Android app TYDR (Track Your Daily Routine) which tracks ...

Felix Beierle, et al. ∙

research

∙ 04/06/2018

Estimation of geodesic tortuosity and constrictivity in stationary random closed sets

We investigate the problem of estimating geodesic tortuosity and constri...

Matthias Neumann, et al. ∙

research

∙ 04/18/2018

VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

Vehicular networks are networks of communicating vehicles, a major enabl...

Rens W. van der Heijden, et al. ∙

research

∙ 05/03/2018

Multi-Source Fusion Operations in Subjective Logic

The purpose of multi-source fusion is to combine information from more t...

Rens Wouter van der Heijden, et al. ∙

research

∙ 05/07/2018

Detecting Traffic Lights by Single Shot Detection

Recent improvements in object detection are driven by the success of con...

Julian Müller, et al. ∙

research

∙ 05/17/2018

Disparity Sliding Window: Object Proposals From Disparity Images

Sliding window approaches have been widely used for object recognition t...

Julian Müller, et al. ∙

research

∙ 06/18/2018

A cautionary tale on using imputation methods for inference in matched pairs design

Imputation procedures in biomedical fields have turned into statistical ...

Burim Ramosaj, et al. ∙

research

∙ 06/20/2018

Void Space Surfaces to Convey Depth in Vessel Visualizations

To enhance depth perception and thus data comprehension, additional dept...

Julian Kreiser, et al. ∙

research

∙ 07/05/2018

A solution to a linear integral equation with an application to statistics of infinitely divisible moving averages

For given measurable functions g,h:R^d →R and a (weighted) L^2-function ...

Jochen Glück, et al. ∙

research

∙ 07/16/2018

Weak dependence and GMM estimation of supOU and mixed moving average processes

We consider a mixed moving average (MMA) process X driven by a Lévy basi...

Imma Valentina Curato, et al. ∙

research

∙ 07/15/2018

More powerful logrank permutation tests for two-sample survival data

Weighted logrank tests are a popular tool for analyzing right censored s...

Marc Ditzhaus, et al. ∙

research

∙ 07/27/2018

Coloured Ring Confidential Transactions

Privacy in block-chains is considered second to functionality, but a vit...

Felix Engelmann, et al. ∙

research

∙ 07/30/2018

A Flexible Network Approach to Privacy of Blockchain Transactions

For preserving privacy, blockchains can be equipped with dedicated mecha...

David Mödinger, et al. ∙

research

∙ 09/04/2018

Bounded Rational Decision-Making with Adaptive Neural Network Priors

Bounded rationality investigates utility-optimizing decision-makers with...

Heinke Hihn, et al. ∙

research

∙ 09/24/2018

A comparative tour through the simulation algorithms for max-stable processes

Max-stable processes form a fundamental class of stochastic processes in...

Marco Oesting, et al. ∙

research

∙ 10/21/2018

On a linear functional for infinitely divisible moving average random fields

Given a low-frequency sample of the infinitely divisible moving average ...

Stefan Roth, et al. ∙

research

∙ 10/27/2018

Minimum Reload Cost Graph Factors

The concept of Reload cost in a graph refers to the cost that occurs whi...

Julien Baste, et al. ∙

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