b'DFKI GmbH'

research

∙ 04/01/2022

Autoencoder Attractors for Uncertainty Estimation

The reliability assessment of a machine learning model's prediction is a...

Steve Dias Da Cruz, et al. ∙

research

∙ 06/08/2022

"GAN I hire you?" – A System for Personalized Virtual Job Interview Training

Job interviews are usually high-stakes social situations where professio...

Alexander Heimerl, et al. ∙

research

∙ 04/01/2022

Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes

Learning on synthetic data and transferring the resulting properties to ...

Steve Dias Da Cruz, et al. ∙

research

∙ 01/04/2022

ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

One principal impediment in the successful deployment of AI-based Comput...

Adriano Lucieri, et al. ∙

research

∙ 01/25/2021

Adversarial Text-to-Image Synthesis: A Review

With the advent of generative adversarial networks, synthesizing images ...

Stanislav Frolov, et al. ∙

research

∙ 03/26/2020

P ≈ NP, at least in Visual Question Answering

In recent years, progress in the Visual Question Answering (VQA) field h...

Shailza Jolly, et al. ∙

research

∙ 05/04/2020

Explaining AI-based Decision Support Systems using Concept Localization Maps

Human-centric explainability of AI-based Decision Support Systems (DSS) ...

Adriano Lucieri, et al. ∙

research

∙ 06/13/2022

Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

It is generally believed that the human visual system is biased towards ...

Adriano Lucieri, et al. ∙

research

∙ 03/25/2021

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style

Conditional image synthesis from layout has recently attracted much inte...

Stanislav Frolov, et al. ∙

research

∙ 01/10/2020

SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark

We release SVIRO, a synthetic dataset for sceneries in the passenger com...

Steve Dias Da Cruz, et al. ∙

research

∙ 09/27/2021

Multimodal Integration of Human-Like Attention in Visual Question Answering

Human-like attention as a supervisory signal to guide neural attention h...

Ekta Sood, et al. ∙

research

∙ 04/16/2020

Light-Weighted CNN for Text Classification

For management, documents are categorized into a specific category, and ...

Ritu Yadav, et al. ∙

research

∙ 02/14/2022

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Learning scientific document representations can be substantially improv...

Malte Ostendorff, et al. ∙

research

∙ 03/03/2022

Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training

Health mentioning classification (HMC) classifies an input text as healt...

Pervaiz Iqbal Khan, et al. ∙

research

∙ 04/10/2022

MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction

Relation Extraction in the biomedical domain is challenging due to the l...

Saadullah Amin, et al. ∙

research

∙ 11/06/2020

Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function

Images recorded during the lifetime of computer vision based systems und...

Steve Dias Da Cruz, et al. ∙

research

∙ 02/22/2021

SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

Large labeled data sets are one of the essential basics of modern deep l...

Dennis Stumpf, et al. ∙

research

∙ 07/31/2019

Rapid Light Field Depth Estimation with Semi-Global Matching

Running time of the light field depth estimation algorithms is typically...

Yuriy Anisimov, et al. ∙

research

∙ 08/02/2021

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty

Application of underwater robots are on the rise, most of them are depen...

Arka Mallick, et al. ∙

research

∙ 07/25/2019

A Compact Light Field Camera for Real-Time Depth Estimation

Depth cameras are utilized in many applications. Recently light field ap...

Yuriy Anisimov, et al. ∙

research

∙ 04/05/2022

DT2I: Dense Text-to-Image Generation from Region Descriptions

Despite astonishing progress, generating realistic images of complex sce...

Stanislav Frolov, et al. ∙

research

∙ 04/07/2019

Surface Defect Classification in Real-Time Using Convolutional Neural Networks

Surface inspection systems are an important application domain for compu...

Selim Arikan, et al. ∙

research

∙ 05/16/2022

Towards Debiasing Translation Artifacts

Cross-lingual natural language processing relies on translation, either ...

Koel Dutta Chowdhury, et al. ∙

research

∙ 07/03/2018

On decision regions of narrow deep neural networks

We show that for neural network functions that have width less or equal ...

Hans-Peter Beise, et al. ∙

research

∙ 09/28/2021

The VVAD-LRS3 Dataset for Visual Voice Activity Detection

Robots are becoming everyday devices, increasing their interaction with ...

Adrian Lubitz, et al. ∙

research

∙ 06/26/2017

Neural Question Answering at BioASQ 5B

This paper describes our submission to the 2017 BioASQ challenge. We par...

Georg Wiese, et al. ∙

research

∙ 06/12/2017

Neural Domain Adaptation for Biomedical Question Answering

Factoid question answering (QA) has recently benefited from the developm...

Georg Wiese, et al. ∙

research

∙ 06/08/2017

Dynamic Integration of Background Knowledge in Neural NLU Systems

Common-sense or background knowledge is required to understand natural l...

Dirk Weissenborn, et al. ∙

research

∙ 03/14/2017

Making Neural QA as Simple as Possible but not Simpler

Recent development of large-scale question answering (QA) datasets trigg...

Dirk Weissenborn, et al. ∙

research

∙ 09/05/2017

Fine-tuning deep CNN models on specific MS COCO categories

Fine-tuning of a deep convolutional neural network (CNN) is often desire...

Daniel Sonntag, et al. ∙

research

∙ 07/27/2016

CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss

Learning based approaches have not yet achieved their full potential in ...

Christian Bailer, et al. ∙

research

∙ 07/12/2016

Separating Answers from Queries for Neural Reading Comprehension

We present a novel neural architecture for answering queries, designed t...

Dirk Weissenborn, et al. ∙

research

∙ 06/13/2016

Neural Associative Memory for Dual-Sequence Modeling

Many important NLP problems can be posed as dual-sequence or sequence-to...

Dirk Weissenborn, et al. ∙

research

∙ 06/09/2016

MuFuRU: The Multi-Function Recurrent Unit

Recurrent neural networks such as the GRU and LSTM found wide adoption i...

Dirk Weissenborn, et al. ∙

research

∙ 09/18/2017

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

The increased availability of high resolution satellite imagery allows t...

Benjamin Bischke, et al. ∙

research

∙ 11/13/2015

Symbol Grounding Association in Multimodal Sequences with Missing Elements

In this paper, we extend a symbolic association framework for being able...

Federico Raue, et al. ∙

research

∙ 08/03/2016

A Novel Approach for Data-Driven Automatic Site Recommendation and Selection

This paper presents a novel, generic, and automatic method for data-driv...

Sebastian Baumbach, et al. ∙

research

∙ 01/30/2017

Self-Adaptation of Activity Recognition Systems to New Sensors

Traditional activity recognition systems work on the basis of training, ...

David Bannach, et al. ∙

research

∙ 10/28/2016

Judging a Book By its Cover

Book covers communicate information to potential readers, but can that s...

Brian Kenji Iwana, et al. ∙

research

∙ 11/17/2013

Towards a New Science of a Clinical Data Intelligence

In this paper we define Clinical Data Intelligence as the analysis of da...

Volker Tresp, et al. ∙

research

∙ 09/12/2016

Active Canny: Edge Detection and Recovery with Open Active Contour Models

We introduce an edge detection and recovery framework based on open acti...

Muhammet Bastan, et al. ∙

research

∙ 05/31/2013

Algebraic Properties of Qualitative Spatio-Temporal Calculi

Qualitative spatial and temporal reasoning is based on so-called qualita...

Frank Dylla, et al. ∙

research

∙ 08/01/2012

The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility

The Distributed Ontology Language (DOL) is currently being standardized ...

Christoph Lange, et al. ∙

research

∙ 10/30/2010

Qualitative Reasoning about Relative Direction on Adjustable Levels of Granularity

An important issue in Qualitative Spatial Reasoning is the representatio...

Till Mossakowski, et al. ∙

research

∙ 04/28/2010

Dimensions of Formality: A Case Study for MKM in Software Engineering

We study the formalization of a collection of documents created for a So...

Andrea Kohlhase, et al. ∙

research

∙ 01/05/2010

Named Models in Coalgebraic Hybrid Logic

Hybrid logic extends modal logic with support for reasoning about indivi...

Lutz Schroeder, et al. ∙

research

∙ 10/11/2007

Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark

Although the recognition of isolated handwritten digits has been a resea...

Daniel Keysers, et al. ∙

research

∙ 10/24/2017

Clickbait Identification using Neural Networks

This paper presents the results of our participation in the Clickbait De...

Philippe Thomas, et al. ∙

research

∙ 07/19/2017

Sentence-level quality estimation by predicting HTER as a multi-component metric

This submission investigates alternative machine learning models for pre...

Eleftherios Avramidis, et al. ∙

research

∙ 04/18/2017

An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification

End-to-end neural machine translation has overtaken statistical machine ...

Cristina España-Bonet, et al. ∙

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