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German Research Center for Artificial Intelligence GmbH, DFKI Management: Prof. Dr. h.c. mult. Wolfgang Wahlster (Chairman) Dr. Walter Olthoff Chairman of the Supervisory Board: Prof. Dr. h.c. Hans A. Aukes Register Court:...

P ≈ NP, at least in Visual Question Answering

In recent years, progress in the Visual Question Answering (VQA) field h...
03/26/2020 ∙ by Shailza Jolly, et al. ∙ 19 ∙ share

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Explaining AI-based Decision Support Systems using Concept Localization Maps

Human-centric explainability of AI-based Decision Support Systems (DSS) ...
05/04/2020 ∙ by Adriano Lucieri, et al. ∙ 18 ∙ share

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SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark

We release SVIRO, a synthetic dataset for sceneries in the passenger com...
01/10/2020 ∙ by Steve Dias Da Cruz, et al. ∙ 11 ∙ share

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Light-Weighted CNN for Text Classification

For management, documents are categorized into a specific category, and ...
04/16/2020 ∙ by Ritu Yadav, et al. ∙ 10 ∙ share

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Rapid Light Field Depth Estimation with Semi-Global Matching

Running time of the light field depth estimation algorithms is typically...
07/31/2019 ∙ by Yuriy Anisimov, et al. ∙ 4 ∙ share

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A Compact Light Field Camera for Real-Time Depth Estimation

Depth cameras are utilized in many applications. Recently light field ap...
07/25/2019 ∙ by Yuriy Anisimov, et al. ∙ 3 ∙ share

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Surface Defect Classification in Real-Time Using Convolutional Neural Networks

Surface inspection systems are an important application domain for compu...
04/07/2019 ∙ by Selim Arikan, et al. ∙ 2 ∙ share

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Neural Question Answering at BioASQ 5B

This paper describes our submission to the 2017 BioASQ challenge. We par...
06/26/2017 ∙ by Georg Wiese, et al. ∙ 0 ∙ share

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Neural Domain Adaptation for Biomedical Question Answering

Factoid question answering (QA) has recently benefited from the developm...
06/12/2017 ∙ by Georg Wiese, et al. ∙ 0 ∙ share

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Dynamic Integration of Background Knowledge in Neural NLU Systems

Common-sense or background knowledge is required to understand natural l...
06/08/2017 ∙ by Dirk Weissenborn, et al. ∙ 0 ∙ share

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Making Neural QA as Simple as Possible but not Simpler

Recent development of large-scale question answering (QA) datasets trigg...
03/14/2017 ∙ by Dirk Weissenborn, et al. ∙ 0 ∙ share

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Fine-tuning deep CNN models on specific MS COCO categories

Fine-tuning of a deep convolutional neural network (CNN) is often desire...
09/05/2017 ∙ by Daniel Sonntag, et al. ∙ 0 ∙ share

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

Learning based approaches have not yet achieved their full potential in ...
07/27/2016 ∙ by Christian Bailer, et al. ∙ 0 ∙ share

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Separating Answers from Queries for Neural Reading Comprehension

We present a novel neural architecture for answering queries, designed t...
07/12/2016 ∙ by Dirk Weissenborn, et al. ∙ 0 ∙ share

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Neural Associative Memory for Dual-Sequence Modeling

Many important NLP problems can be posed as dual-sequence or sequence-to...
06/13/2016 ∙ by Dirk Weissenborn, et al. ∙ 0 ∙ share

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MuFuRU: The Multi-Function Recurrent Unit

Recurrent neural networks such as the GRU and LSTM found wide adoption i...
06/09/2016 ∙ by Dirk Weissenborn, et al. ∙ 0 ∙ share

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

The increased availability of high resolution satellite imagery allows t...
09/18/2017 ∙ by Benjamin Bischke, et al. ∙ 0 ∙ share

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Symbol Grounding Association in Multimodal Sequences with Missing Elements

In this paper, we extend a symbolic association framework for being able...
11/13/2015 ∙ by Federico Raue, et al. ∙ 0 ∙ share

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

This paper presents a novel, generic, and automatic method for data-driv...
08/03/2016 ∙ by Sebastian Baumbach, et al. ∙ 0 ∙ share

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Self-Adaptation of Activity Recognition Systems to New Sensors

Traditional activity recognition systems work on the basis of training, ...
01/30/2017 ∙ by David Bannach, et al. ∙ 0 ∙ share

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Judging a Book By its Cover

Book covers communicate information to potential readers, but can that s...
10/28/2016 ∙ by Brian Kenji Iwana, et al. ∙ 0 ∙ share

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Towards a New Science of a Clinical Data Intelligence

In this paper we define Clinical Data Intelligence as the analysis of da...
11/17/2013 ∙ by Volker Tresp, et al. ∙ 0 ∙ share

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

We introduce an edge detection and recovery framework based on open acti...
09/12/2016 ∙ by Muhammet Bastan, et al. ∙ 0 ∙ share

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Algebraic Properties of Qualitative Spatio-Temporal Calculi

Qualitative spatial and temporal reasoning is based on so-called qualita...
05/31/2013 ∙ by Frank Dylla, et al. ∙ 0 ∙ share

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

The Distributed Ontology Language (DOL) is currently being standardized ...
08/01/2012 ∙ by Christoph Lange, et al. ∙ 0 ∙ share

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Qualitative Reasoning about Relative Direction on Adjustable Levels of Granularity

An important issue in Qualitative Spatial Reasoning is the representatio...
10/30/2010 ∙ by Till Mossakowski, et al. ∙ 0 ∙ share

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

We study the formalization of a collection of documents created for a So...
04/28/2010 ∙ by Andrea Kohlhase, et al. ∙ 0 ∙ share

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Named Models in Coalgebraic Hybrid Logic

Hybrid logic extends modal logic with support for reasoning about indivi...
01/05/2010 ∙ by Lutz Schroeder, et al. ∙ 0 ∙ share

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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...
10/11/2007 ∙ by Daniel Keysers, et al. ∙ 0 ∙ share

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Clickbait Identification using Neural Networks

This paper presents the results of our participation in the Clickbait De...
10/24/2017 ∙ by Philippe Thomas, et al. ∙ 0 ∙ share

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

This submission investigates alternative machine learning models for pre...
07/19/2017 ∙ by Eleftherios Avramidis, et al. ∙ 0 ∙ share

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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 ...
04/18/2017 ∙ by Cristina España-Bonet, et al. ∙ 0 ∙ share

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How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?

This paper investigates the robustness of NLP against perturbed word for...
04/14/2017 ∙ by Georg Heigold, et al. ∙ 0 ∙ share

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Modeling Language Change in Historical Corpora: The Case of Portuguese

This paper presents a number of experiments to model changes in a histor...
09/30/2016 ∙ by Marcos Zampieri, et al. ∙ 0 ∙ share

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AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis

Recently, sound recognition has been used to identify sounds, such as ca...
07/13/2016 ∙ by Sebastian Sager, et al. ∙ 0 ∙ share

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Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets

We consider the visual sentiment task of mapping an image to an adjectiv...
11/21/2015 ∙ by Takuya Narihira, et al. ∙ 0 ∙ share

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Providing Physical Layer Security for Mission Critical Machine Type Communication

The design of wireless systems for Mission Critical Machine Type Communi...
11/10/2017 ∙ by Andreas Weinand, et al. ∙ 0 ∙ share

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TSViz: Demystification of Deep Learning Models for Time-Series Analysis

This paper presents a novel framework for demystification of convolution...
02/08/2018 ∙ by Shoaib Ahmed Siddiqui, et al. ∙ 0 ∙ share

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A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

This paper provides an overview of prominent deep learning toolkits and,...
03/13/2018 ∙ by Jan Zacharias, et al. ∙ 0 ∙ share

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An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor

Spreadsheets are widely used by knowledge workers, especially in the ind...
04/11/2018 ∙ by Markus Schröder, et al. ∙ 0 ∙ share

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An AI-driven Malfunction Detection Concept for NFV Instances in 5G

Efficient network management is one of the key challenges of the constan...
04/16/2018 ∙ by Julian Ahrens, et al. ∙ 0 ∙ share

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LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification

We present LightRel, a lightweight and fast relation classifier. Our goa...
04/19/2018 ∙ by Tyler Renslow, et al. ∙ 0 ∙ share

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Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths

Within the Semantic Web community, SPARQL is one of the predominant lang...
05/03/2018 ∙ by Markus Schröder, et al. ∙ 0 ∙ share

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Deep Linking Desktop Resources

Deep Linking is the process of referring to a specific piece of web cont...
05/03/2018 ∙ by Markus Schröder, et al. ∙ 0 ∙ share

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Robust Model-Aided Inertial Localization for Autonomous Underwater Vehicles

This paper presents a manifold based Unscented Kalman Filter that applie...
05/21/2018 ∙ by Sascha Arnold, et al. ∙ 0 ∙ share

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Towards Semantically Enhanced Data Understanding

In the field of machine learning, data understanding is the practice of ...
06/13/2018 ∙ by Markus Schröder, et al. ∙ 0 ∙ share

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The Structure of Service Level Agreement of Slice-based 5G Network

Network slicing is considered to be one of the key enablers to Fifth Gen...
06/27/2018 ∙ by Mohammad Asif Habibi, et al. ∙ 0 ∙ share

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On decision regions of narrow deep neural networks

We show that for neural network functions that have width less or equal ...
07/03/2018 ∙ by Hans-Peter Beise, et al. ∙ 0 ∙ share

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Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks

Noncritical soft-faults and model deviations are a challenge for Fault D...
07/11/2018 ∙ by Samy Nascimento, et al. ∙ 0 ∙ share

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Multimodal Social Media Analysis for Gang Violence Prevention

Gang violence is a severe issue in major cities across the U.S. and rece...
07/23/2018 ∙ by Philipp Blandfort, et al. ∙ 0 ∙ share

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