b'uni hannover'

research

∙ 08/26/2019

Learning Disentangled Representations via Independent Subspaces

Image generating neural networks are mostly viewed as black boxes, where...

Maren Awiszus, et al. ∙

research

∙ 02/23/2022

Image Classification on Small Datasets via Masked Feature Mixing

Deep convolutional neural networks require large amounts of labeled data...

Christoph Reinders, et al. ∙

research

∙ 01/27/2022

RelTR: Relation Transformer for Scene Graph Generation

Different objects in the same scene are more or less related to each oth...

Yuren Cong, et al. ∙

research

∙ 12/06/2020

Using Machine Learning to Automate Mammogram Images Analysis

Breast cancer is the second leading cause of cancer-related death after ...

Xuejiao Tang, et al. ∙

research

∙ 08/04/2021

The Potential of Using Vision Videos for CrowdRE: Video Comments as a Source of Feedback

Vision videos are established for soliciting feedback and stimulating di...

Oliver Karras, et al. ∙

research

∙ 06/18/2021

World-GAN: a Generative Model for Minecraft Worlds

This work introduces World-GAN, the first method to perform data-driven ...

Maren Awiszus, et al. ∙

research

∙ 08/07/2019

Structuring Autoencoders

In this paper we propose Structuring AutoEncoders (SAE). SAEs are neural...

Marco Rudolph, et al. ∙

research

∙ 08/17/2021

Appearance Based Deep Domain Adaptation for the Classification of Aerial Images

This paper addresses domain adaptation for the pixel-wise classification...

Dennis Wittich, et al. ∙

research

∙ 08/02/2019

Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior

We present deformable unsupervised medical image registration using a ra...

Max-Heinrich Laves, et al. ∙

research

∙ 10/09/2021

Research on Knowledge based Expert System for Medical Diagnosis

In this paper we propose the design and implementation of a generic medi...

Xin Huang, et al. ∙

research

∙ 07/26/2019

Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities

Under difficult environmental conditions, the view of RGB cameras may be...

Sebastian P. Kleinschmidt, et al. ∙

research

∙ 07/16/2018

A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation

Purpose: Automated segmentation of anatomical structures in medical imag...

Max-Heinrich Laves, et al. ∙

research

∙ 05/23/2017

A Novel Multi-Detector Fusion Framework for Multi-Object Tracking

In order to track all persons in a scene, the tracking-by-detection para...

Roberto Henschel, et al. ∙

research

∙ 02/01/2017

A Kinematic Chain Space for Monocular Motion Capture

This paper deals with motion capture of kinematic chains (e.g. human ske...

Bastian Wandt, et al. ∙

research

∙ 07/25/2016

Tracking with multi-level features

We present a novel formulation of the multiple object tracking problem w...

Roberto Henschel, et al. ∙

research

∙ 10/26/2018

Security Event Recognition for Visual Surveillance

With rapidly increasing deployment of surveillance cameras, the reliable...

Michael Ying Yang, et al. ∙

research

∙ 02/26/2019

RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

This paper addresses the problem of 3D human pose estimation from single...

Bastian Wandt, et al. ∙

research

∙ 11/25/2019

Neural Random Forest Imitation

We present Neural Random Forest Imitation - a novel approach for transfo...

Christoph Reinders, et al. ∙

research

∙ 06/28/2017

Default Logic and Bounded Treewidth

In this paper, we study Reiter's propositional default logic when the tr...

Johannes K. Fichte, et al. ∙

research

∙ 05/17/2013

Evolutionary optimization of an experimental apparatus

In recent decades, cold atom experiments have become increasingly comple...

I. Geisel, et al. ∙

research

∙ 12/21/2017

A continuous framework for fairness

Increasingly, discrimination by algorithms is perceived as a societal an...

Philipp Hacker, et al. ∙

research

∙ 01/18/2010

An Immuno-Inspired Approach to Misbehavior Detection in Ad Hoc Wireless Networks

We propose and evaluate an immuno-inspired approach to misbehavior detec...

Martin Drozda, et al. ∙

research

∙ 06/18/2009

AIS for Misbehavior Detection in Wireless Sensor Networks: Performance and Design Principles

A sensor network is a collection of wireless devices that are able to mo...

Martin Drozda, et al. ∙

research

∙ 05/19/2017

Look Mum, no VM Exits! (Almost)

Multi-core CPUs are a standard component in many modern embedded systems...

Ralf Ramsauer, et al. ∙

research

∙ 09/25/2017

Team Semantics for the Specification and Verification of Hyperproperties

We develop team semantics for Linear Temporal Logic (LTL) to express hyp...

Andreas Krebs, et al. ∙

research

∙ 08/01/2017

Reframing Societal Discourse as Requirements Negotiation: Vision Statement

Challenges in spatial planning include adjusting settlement patterns to ...

Kurt Schneider, et al. ∙

research

∙ 08/01/2017

Video as a By-Product of Digital Prototyping: Capturing the Dynamic Aspect of Interaction

Requirements engineering provides several practices to analyze how a use...

Oliver Karras, et al. ∙

research

∙ 08/01/2017

Is Task Board Customization Beneficial? - An Eye Tracking Study

The task board is an essential artifact in many agile development approa...

Oliver Karras, et al. ∙

research

∙ 10/20/2016

Non-Asymptotic Delay Bounds for Multi-Server Systems with Synchronization Constraints

Multi-server systems have received increasing attention with important i...

Markus Fidler, et al. ∙

research

∙ 08/13/2016

A Non-stationary Service Curve Model for Estimation of Cellular Sleep Scheduling

While steady-state solutions of backlog and delay have been derived for ...

Nico Becker, et al. ∙

research

∙ 03/06/2018

Probabilistic team semantics

Team semantics is a semantical framework for the study of dependence and...

Arnaud Durand, et al. ∙

research

∙ 04/14/2018

Hybrid RF/VLC Systems under QoS Constraints

The coexistence of radio frequency (RF) and visible light communications...

Marwan Hammouda, et al. ∙

research

∙ 04/20/2018

Enumeration in Incremental FPT-Time

In this paper, we study the relationship of parametrised enumeration com...

Arne Meier, et al. ∙

research

∙ 04/24/2018

Resource Allocation and Interference Management in OFDMA-based VLC Networks

Resource allocation and interference management are two main issues that...

Marwan Hammouda, et al. ∙

research

∙ 04/30/2018

Fundamentals of Parameterized Complexity Revisited

What is a parameterized algorithm? What is a parameterized problem and w...

Maurice Chandoo, et al. ∙

research

∙ 08/15/2018

Software Professionals are Not Directors: What Constitutes a Good Video?

Videos are one of the best documentation options for a rich and effectiv...

Oliver Karras, et al. ∙

research

∙ 08/27/2018

A Systematic Approach to Programming

We show how to systematically implement a mental representation of an al...

Maurice Chandoo, et al. ∙

research

∙ 09/04/2018

Software Professionals' Attitudes towards Video as a Medium in Requirements Engineering

In requirements engineering (RE), knowledge is mainly communicated via w...

Oliver Karras, et al. ∙

research

∙ 10/26/2018

Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography

In laser microsurgery, image-based control of the ablation laser can lea...

Max-Heinrich Laves, et al. ∙

research

∙ 11/28/2018

Counting Complexity for Reasoning in Abstract Argumentation

In this paper, we consider counting and projected model counting of exte...

Johannes K. Fichte, et al. ∙

research

∙ 12/05/2018

HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures

The efficiency of motion compensated prediction in modern video codecs h...

Felix Haub, et al. ∙

research

∙ 12/23/2018

A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts

Data extracted from software repositories is used intensively in Softwar...

Tobias Baum, et al. ∙

research

∙ 01/19/2019

Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery

Purpose: The facial recess is a delicate structure that must be protecte...

Max-Heinrich Laves, et al. ∙

research

∙ 02/01/2019

Counting of Teams in First-Order Team Logics

We study descriptive complexity of counting complexity classes in the ra...

Anselm Haak, et al. ∙

research

∙ 03/23/2019

Semantic denoising autoencoders for retinal optical coherence tomography

Noise in speckle-prone optical coherence tomography tends to obfuscate i...

Max-Heinrich Laves, et al. ∙

research

∙ 03/26/2019

Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions

With the increasing availability of mobility-related data, such as GPS-t...

Nicolas Tempelmeier, et al. ∙

research

∙ 04/12/2019

Parametrised Complexity of Model Checking and Satisfiability in Propositional Dependence Logic

In this paper, we initiate a systematic study of the parametrised comple...

Yasir Mahmood, et al. ∙

research

∙ 04/18/2019

Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs

Deep neural networks can be powerful tools, but require careful applicat...

Matthew A. Wright, et al. ∙

research

∙ 04/12/2019

Bayesian inversion for nanowire field-effect sensors

Nanowire field-effect sensors have recently been developed for label-fre...

Amirreza Khodadadian, et al. ∙

research

∙ 04/26/2019

Explainable Software for Cyber-Physical Systems (ES4CPS): Report from the GI Dagstuhl Seminar 19023, January 06-11 2019, Schloss Dagstuhl

This report documents the program and results of the GI-Dagstuhl Seminar...

Joel Greenyer, et al. ∙

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