iDocument: Using Ontologies for Extracting and Annotating Information from Unstructured Text. - Benjamin Adrian; Jörn Hees; Ludger van Elst; Andreas Dengel 001 (KI, 2009)

TubeFiler: an automatic web video categorizer. - Damian Borth; Jörn Hees; Markus Koch; Adrian Ulges; Christian Schulze 001; Thomas M. Breuel; Roberto Paredes (ACM Multimedia, 2009)

Text 2.0. - Ralf Biedert; Georg Buscher; Sven Schwarz; Jörn Hees; Andreas Dengel 001 (CHI Extended Abstracts, 2010)

Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data. - Benjamin Adrian; Jörn Hees; Ivan Herman; Michael Sintek; Andreas Dengel 001 (EKAW, 2010)

Linked Data Games: Simulating Human Association with Linked Data. - Jörn Hees; Thomas Roth-Berghofer; Andreas Dengel 001 (LWA, 2010)

BetterRelations: Using a Game to Rate Linked Data Triples. - Jörn Hees; Thomas Roth-Berghofer; Ralf Biedert; Benjamin Adrian; Andreas Dengel 001 (KI, 2011)

A robust realtime reading-skimming classifier. - Ralf Biedert; Jörn Hees; Andreas Dengel 001; Georg Buscher (ETRA, 2012)

BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game. - Jörn Hees; Thomas Roth-Berghofer; Ralf Biedert; Benjamin Adrian; Andreas Dengel 001 (SeCO Book, 2012)

Collecting Links between Entities Ranked by Human Association Strengths. - Jörn Hees; Mohamed Khamis; Ralf Biedert; Slim Abdennadher; Andreas Dengel 001 (ESWC, 2013)

Analysis and forecasting of trending topics in online media streams. - Tim Althoff; Damian Borth; Jörn Hees; Andreas Dengel 001 (ACM Multimedia, 2013)

An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (EKAW, 2016)

Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (ESWC (Satellite Events), 2016)

Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (ESWC (Satellite Events), 2016)

TSSort: Probabilistic Noise Resistant Sorting. - Jörn Hees; Benjamin Adrian; Ralf Biedert; Thomas Roth-Berghofer; Andreas Dengel 001 (CoRR, 2016)

Predicting Human Associations with Graph Patterns Learned from Linked Data. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (ISWC (Posters, Demos & Industry Tracks), 2017)

RDF Spreadsheet Editor: Get (G)rid of Your RDF Data Entry Problems. - Markus Schröder 001; Christian Jilek; Jörn Hees; Sven Hertling; Andreas Dengel 001 (ISWC (Posters, Demos & Industry Tracks), 2017)

What Do Deep Networks Like to See? - Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel 001 (CVPR, 2018)

Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths. - Markus Schröder 001; Jörn Hees; Ansgar Bernardi; Daniel Ewert; Peter Klotz; Steffen Stadtmüller (ESWC (Satellite Events), 2018)

Adversarial Defense based on Structure-to-Signal Autoencoders. - Joachim Folz; Sebastian Palacio; Jörn Hees; Damian Borth; Andreas Dengel 001 (CoRR, 2018)

An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor. - Markus Schröder 001; Christian Jilek; Jörn Hees; Sven Hertling; Andreas Dengel 001 (CoRR, 2018)

Towards Semantically Enhanced Data Understanding. - Markus Schröder 001; Christian Jilek; Jörn Hees; Andreas Dengel 001 (CoRR, 2018)

The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images. - Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel 001 (CoRR, 2018)

An Overview of Computational Approaches for Analyzing Interpretation. - Philipp Blandfort; Jörn Hees; Desmond Upton Patton (CoRR, 2018)

Simulating Human Associations with Linked Data. - Jörn Hees (2018)

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. - Fatemeh Azimi; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (1), 2019)

Conditional GANs for Image Captioning with Sentiments. - Tushar Karayil; Asif Irfan; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (4), 2019)

Comparison Between U-Net and U-ReNet Models in OCR Tasks. - Brian B. Moser; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (3), 2019)

Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a Global Scale. - Benjamin Bischke; Patrick Helber; Jörn Hees; Andreas Dengel 001 (IGARSS, 2019)

Multi-Scale Machine Learning for the Classification of Building Property Values. - Patrick Helber; Benjamin Bischke; Qiushi Guo; Jörn Hees; Andreas Dengel 001 (IGARSS, 2019)

Towards a Sentinel-2 Based Human Settlement Layer. - Patrick Helber; Benjamin Bischke; Jörn Hees; Andreas Dengel 001 (IGARSS, 2019)

Fusion Strategies for Learning User Embeddings with Neural Networks. - Philipp Blandfort; Tushar Karayil; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2019)

The Focus-Aspect-Value Model for Explainable Prediction of Subjective Visual Interpretation. - Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel 001 (ICMR, 2019)

DartsReNet: Exploring New RNN Cells in ReNet Architectures. - Brian B. Moser; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICANN (1), 2020)

Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. - Fatemeh Azimi; Benjamin Bischke; Sebastian Palacio; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

ESResNet: Environmental Sound Classification Based on Visual Domain Models. - Andrey Guzhov; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

P ≈ NP, at least in Visual Question Answering. - Shailza Jolly; Sebastian Palacio; Joachim Folz; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. - Sebastian Palacio; Philipp Engler; Jörn Hees; Andreas Dengel 001 (ICPR, 2020)

Adversarial Defense based on Structure-to-Signal Autoencoders. - Joachim Folz; Sebastian Palacio; Jörn Hees; Andreas Dengel 001 (WACV, 2020)

Hybrid Sequence to Sequence Model for Video Object Segmentation. - Fatemeh Azimi; Stanislav Frolov; Federico Raue; Jörn Hees; Andreas Dengel 001 (CoRR, 2020)

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis. - Stanislav Frolov; Shailza Jolly; Jörn Hees; Andreas Dengel 001 (CoRR, 2020)

The Focus-Aspect-Value model for predicting subjective visual attributes. - Philipp Blandfort; Tushar Karayil; Jörn Hees; Andreas Dengel 001 (Int. J. Multim. Inf. Retr., 2020)

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. - Stanislav Frolov; Avneesh Sharma; Jörn Hees; Tushar Karayil; Federico Raue; Andreas Dengel 001 (GCPR, 2021)

Rethinking RNN-Based Video Object Segmentation. - Fatemeh Azimi; Federico Raue; Jörn Hees; Andreas Dengel 001 (VISIGRAPP (Revised Selected Papers), 2021)

XAI Handbook: Towards a Unified Framework for Explainable AI. - Sebastian Palacio; Adriano Lucieri; Mohsin Munir; Sheraz Ahmed; Jörn Hees; Andreas Dengel 001 (ICCVW, 2021)

ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. - Andrey Guzhov; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2021)

ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. - Dayananda Herurkar; Philipp Blandfort; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2021)

Combining Transformer Generators with Convolutional Discriminators. - Ricard Durall; Stanislav Frolov; Jörn Hees; Federico Raue; Franz-Josef Pfreundt; Andreas Dengel 001; Janis Keuper (KI, 2021)

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. - Fatemeh Azimi; Stanislav Frolov; Federico Raue; Jörn Hees; Andreas Dengel 001 (VISIGRAPP (4: VISAPP), 2021)

Spatial Transformer Networks for Curriculum Learning. - Fatemeh Azimi; Jean-Francois Jacques Nicolas Nies; Sebastian Palacio; Federico Raue; Jörn Hees; Andreas Dengel 001 (CoRR, 2021)

Adversarial text-to-image synthesis: A review. - Stanislav Frolov; Tobias Hinz; Federico Raue; Jörn Hees; Andreas Dengel 001 (Neural Networks, 2021)

Less is More: Proxy Datasets in NAS approaches. - Brian B. Moser; Federico Raue; Jörn Hees; Andreas Dengel 001 (CVPR Workshops, 2022)

DT2I: Dense Text-to-Image Generation from Region Descriptions. - Stanislav Frolov; Prateek Bansal; Jörn Hees; Andreas Dengel 001 (ICANN (2), 2022)

Audioclip: Extending Clip to Image, Text and Audio. - Andrey Guzhov; Federico Raue; Jörn Hees; Andreas Dengel 001 (ICASSP, 2022)

Self-supervised Test-time Adaptation on Video Data. - Fatemeh Azimi; Sebastian Palacio; Federico Raue; Jörn Hees; Luca Bertinetto; Andreas Dengel 001 (WACV, 2022)

Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data. - Timur Sattarov; Dayananda Herurkar; Jörn Hees (CoRR, 2022)

TreeSatAI Benchmark Archive for Deep Learning in Forest Applications. - Christian Schulz 012; Steve Ahlswede; Christiano Gava; Patrick Helber; Benjamin Bischke; Florencia Arias; Michael Förster; Jörn Hees; Begüm Demir; Birgit Kleinschmit (Zenodo, 2022)

TreeSatAI Benchmark Archive for Deep Learning in Forest Applications. - Christian Schulz 012; Steve Ahlswede; Christiano Gava; Patrick Helber; Benjamin Bischke; Florencia Arias; Michael Förster; Jörn Hees; Begüm Demir; Birgit Kleinschmit (Zenodo, 2022)

TreeSatAI Benchmark Archive for Deep Learning in Forest Applications. - Christian Schulz 012; Steve Ahlswede; Christiano Gava; Patrick Helber; Benjamin Bischke; Florencia Arias; Michael Förster; Jörn Hees; Begüm Demir; Birgit Kleinschmit (Zenodo, 2022)

Knowledge Base Question Answering by Transformer-Based Graph Pattern Scoring. - Marcel Lamott; Jörn Hees; Adrian Ulges (ICCBR Workshops, 2023)

Sequential Spatial Transformer Networks for Salient Object Classification. - David Dembinsky; Fatemeh Azimi; Federico Raue; Jörn Hees; Sebastian Palacio; Andreas Dengel 001 (ICPRAM, 2023)

Cross-Domain Transformation for Outlier Detection on Tabular Datasets. - Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel 001 (IJCNN, 2023)

RECol: Reconstruction Error Columns for Outlier Detection. - Dayananda Herurkar; Mario Meier; Jörn Hees (KI, 2023)

Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. - Mohammad Majd Saad Al Deen; Maren Pielka; Jörn Hees; Bouthaina Soulef Abdou; Rafet Sifa (SSCI, 2023)

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. - Brian B. Moser; Federico Raue; Stanislav Frolov; Sebastian Palacio; Jörn Hees; Andreas Dengel 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Computer-Assisted Short Answer Grading Using Large Language Models and Rubrics. - Tim Metzler; Paul G. Plöger; Jörn Hees (INFORMATIK, 2024)

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. - Dayananda Herurkar; Sebastian Palacio; Ahmed Anwar; Jörn Hees; Andreas Dengel 001 (CoRR, 2024)

Woran denken Sie, wenn Sie ‚Informatik' hören? - Können Wortassoziationen einen Einblick in die motivationale Haltung von Studierenden geben, und sind Large Language Models für die Auswertung geeignet? - Doerthe Vieten; Jörn Hees (DeLFI, 2025)

Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data. - Dayananda Herurkar; Jörn Hees; Vesselin Tzvetkov; Andreas Dengel 001 (CoRR, 2025)