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ORCIDJörn Hees
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- affiliation: Hochschule Bonn-Rhein-Sieg, Sankt Augustin, Germany
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2020 – today
- 2024
[c47]Tim Metzler, Paul G. Plöger, Jörn Hees:
Computer-Assisted Short Answer Grading Using Large Language Models and Rubrics. INFORMATIK 2024: 1383-1393- [i32]Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel:
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. CoRR abs/2404.14933 (2024) - 2023
- [j3]Brian B. Moser
, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9862-9882 (2023) - [c46]Marcel Lamott, Jörn Hees, Adrian Ulges:
Knowledge Base Question Answering by Transformer-Based Graph Pattern Scoring. ICCBR Workshops 2023: 98-113 - [c45]David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM 2023: 328-335 - [c44]Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel:
Cross-Domain Transformation for Outlier Detection on Tabular Datasets. IJCNN 2023: 1-8 - [c43]Dayananda Herurkar, Mario Meier, Jörn Hees:
RECol: Reconstruction Error Columns for Outlier Detection. KI 2023: 60-74 - [c42]Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa:
Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. SSCI 2023: 318-322 - [i31]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
DartsReNet: Exploring new RNN cells in ReNet architectures. CoRR abs/2304.05838 (2023) - [i30]Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa:
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training. CoRR abs/2307.14666 (2023) - 2022
- [c41]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. CVPR Workshops 2022: 1952-1960 - [c40]Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel:
DT2I: Dense Text-to-Image Generation from Region Descriptions. ICANN (2) 2022: 395-406 - [c39]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
Audioclip: Extending Clip to Image, Text and Audio. ICASSP 2022: 976-980 - [c38]Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel:
Self-supervised Test-time Adaptation on Video Data. WACV 2022: 2603-2612 - [i29]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Less is More: Proxy Datasets in NAS approaches. CoRR abs/2203.06905 (2022) - [i28]Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel:
DT2I: Dense Text-to-Image Generation from Region Descriptions. CoRR abs/2204.02035 (2022) - [i27]Timur Sattarov, Dayananda Herurkar, Jörn Hees:
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data. CoRR abs/2209.10658 (2022) - [i26]Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR abs/2209.13131 (2022) - 2021
- [j2]Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial text-to-image synthesis: A review. Neural Networks 144: 187-209 (2021) - [c37]Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. GCPR 2021: 361-375 - [c36]Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
Rethinking RNN-Based Video Object Segmentation. VISIGRAPP (Revised Selected Papers) 2021: 348-365 - [c35]Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW 2021: 3759-3768 - [c34]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. IJCNN 2021: 1-8 - [c33]Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel:
ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. IJCNN 2021: 1-8 - [c32]Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper:
Combining Transformer Generators with Convolutional Discriminators. KI 2021: 67-79 - [c31]Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel:
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. VISIGRAPP (4: VISAPP) 2021: 182-192 - [i25]Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel:
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. CoRR abs/2101.03057 (2021) - [i24]Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial Text-to-Image Synthesis: A Review. CoRR abs/2101.09983 (2021) - [i23]Jörn Hees, Dayananda Herurkar, Mario Meier:
RECol: Reconstruction Error Columns for Outlier Detection. CoRR abs/2102.02791 (2021) - [i22]Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. CoRR abs/2103.13722 (2021) - [i21]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. CoRR abs/2104.11587 (2021) - [i20]Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR abs/2105.06677 (2021) - [i19]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
AudioCLIP: Extending CLIP to Image, Text and Audio. CoRR abs/2106.13043 (2021) - [i18]Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. CoRR abs/2106.14295 (2021) - [i17]Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Spatial Transformer Networks for Curriculum Learning. CoRR abs/2108.09696 (2021) - 2020
- [j1]Philipp Blandfort, Tushar Karayil, Jörn Hees, Andreas Dengel:
The Focus-Aspect-Value model for predicting subjective visual attributes. Int. J. Multim. Inf. Retr. 9(1): 47-60 (2020) - [c30]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
DartsReNet: Exploring New RNN Cells in ReNet Architectures. ICANN (1) 2020: 850-861 - [c29]Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. ICPR 2020: 2748-2754 - [c28]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNet: Environmental Sound Classification Based on Visual Domain Models. ICPR 2020: 4933-4940 - [c27]Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR 2020: 5376-5383 - [c26]Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel:
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. ICPR 2020: 8937-8944 - [c25]Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. WACV 2020: 3568-3577 - [i16]Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. CoRR abs/2003.11844 (2020) - [i15]Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNet: Environmental Sound Classification Based on Visual Domain Models. CoRR abs/2004.07301 (2020) - [i14]Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR abs/2004.12170 (2020) - [i13]Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel:
Hybrid Sequence to Sequence Model for Video Object Segmentation. CoRR abs/2010.05069 (2020) - [i12]Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel:
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis. CoRR abs/2010.14953 (2020)
2010 – 2019
- 2019
- [c24]Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel:
Comparison Between U-Net and U-ReNet Models in OCR Tasks. ICANN (3) 2019: 131-142 - [c23]Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel:
Conditional GANs for Image Captioning with Sentiments. ICANN (4) 2019: 300-312 - [c22]Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel:
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. ICANN (1) 2019: 585-597 - [c21]Benjamin Bischke, Patrick Helber, Jörn Hees, Andreas Dengel:
Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a Global Scale. IGARSS 2019: 3951-3954 - [c20]Patrick Helber, Benjamin Bischke, Qiushi Guo, Jörn Hees, Andreas Dengel:
Multi-Scale Machine Learning for the Classification of Building Property Values. IGARSS 2019: 4873-4876 - [c19]Patrick Helber, Benjamin Bischke, Jörn Hees, Andreas Dengel:
Towards a Sentinel-2 Based Human Settlement Layer. IGARSS 2019: 5936-5939 - [c18]Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. IJCNN 2019: 1-8 - [c17]Tushar Karayil, Philipp Blandfort, Jörn Hees, Andreas Dengel:
The Focus-Aspect-Value Model for Explainable Prediction of Subjective Visual Interpretation. ICMR 2019: 16-24 - [i11]Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. CoRR abs/1901.02322 (2019) - 2018
- [b1]Jörn Hees:
Simulating Human Associations with Linked Data. Kaiserslautern University of Technology, Germany, 2018 - [c16]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? CVPR 2018: 3108-3117 - [c15]Markus Schröder, Jörn Hees, Ansgar Bernardi, Daniel Ewert, Peter Klotz, Steffen Stadtmüller:
Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths. ESWC (Satellite Events) 2018: 40-45 - [i10]Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR abs/1803.07994 (2018) - [i9]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What do Deep Networks Like to See? CoRR abs/1803.08337 (2018) - [i8]Markus Schröder, Christian Jilek, Jörn Hees, Sven Hertling, Andreas Dengel:
An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor. CoRR abs/1804.04175 (2018) - [i7]Markus Schröder, Jörn Hees, Ansgar Bernardi, Daniel Ewert, Peter Klotz, Steffen Stadtmüller:
Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths. CoRR abs/1805.01825 (2018) - [i6]Markus Schröder, Christian Jilek, Jörn Hees, Andreas Dengel:
Towards Semantically Enhanced Data Understanding. CoRR abs/1806.04952 (2018) - [i5]Tushar Karayil, Philipp Blandfort, Jörn Hees, Andreas Dengel:
The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images. CoRR abs/1810.06219 (2018) - [i4]Philipp Blandfort, Jörn Hees, Desmond Upton Patton:
An Overview of Computational Approaches for Analyzing Interpretation. CoRR abs/1811.04028 (2018) - 2017
- [c14]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Predicting Human Associations with Graph Patterns Learned from Linked Data. ISWC (Posters, Demos & Industry Tracks) 2017 - [c13]Markus Schröder, Christian Jilek, Jörn Hees, Sven Hertling, Andreas Dengel:
RDF Spreadsheet Editor: Get (G)rid of Your RDF Data Entry Problems. ISWC (Posters, Demos & Industry Tracks) 2017 - 2016
- [c12]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. EKAW 2016: 337-352 - [c11]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) 2016: 17-20 - [c10]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) 2016 - [i3]Jörn Hees, Benjamin Adrian, Ralf Biedert, Thomas Roth-Berghofer, Andreas Dengel:
TSSort: Probabilistic Noise Resistant Sorting. CoRR abs/1606.05289 (2016) - [i2]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia. CoRR abs/1607.07249 (2016) - 2014
- [i1]Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel:
Analysis and Forecasting of Trending Topics in Online Media Streams. CoRR abs/1405.7452 (2014) - 2013
- [c9]Jörn Hees, Mohamed Khamis, Ralf Biedert, Slim Abdennadher, Andreas Dengel:
Collecting Links between Entities Ranked by Human Association Strengths. ESWC 2013: 517-531 - [c8]Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel:
Analysis and forecasting of trending topics in online media streams. ACM Multimedia 2013: 907-916 - 2012
- [c7]Ralf Biedert, Jörn Hees, Andreas Dengel, Georg Buscher:
A robust realtime reading-skimming classifier. ETRA 2012: 123-130 - [p1]Jörn Hees, Thomas Roth-Berghofer, Ralf Biedert, Benjamin Adrian, Andreas Dengel:
BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game. SeCO Book 2012: 223-239 - 2011
- [c6]Jörn Hees, Thomas Roth-Berghofer, Ralf Biedert, Benjamin Adrian, Andreas Dengel:
BetterRelations: Using a Game to Rate Linked Data Triples. KI 2011: 134-138 - 2010
- [c5]Ralf Biedert, Georg Buscher, Sven Schwarz, Jörn Hees, Andreas Dengel:
Text 2.0. CHI Extended Abstracts 2010: 4003-4008 - [c4]Benjamin Adrian, Jörn Hees, Ivan Herman, Michael Sintek, Andreas Dengel:
Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data. EKAW 2010: 178-192 - [c3]Jörn Hees, Thomas Roth-Berghofer, Andreas Dengel:
Linked Data Games: Simulating Human Association with Linked Data. LWA 2010: 255-260
2000 – 2009
- 2009
- [c2]Benjamin Adrian, Jörn Hees, Ludger van Elst, Andreas Dengel:
iDocument: Using Ontologies for Extracting and Annotating Information from Unstructured Text. KI 2009: 249-256 - [c1]Damian Borth, Jörn Hees, Markus Koch, Adrian Ulges, Christian Schulze, Thomas M. Breuel, Roberto Paredes:
TubeFiler: an automatic web video categorizer. ACM Multimedia 2009: 1111-1112
Coauthor Index
[i32] [j3] [c45] [c44] [i31] [c41] [c40] [c39] [c38] [i29] [i28] [i26] [j2] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i25] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [j1] [c30] [c29] [c28] [c27] [c26] [c25] [i16] [i15] [i14] [i13] [i12] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i11] [c16] [i10] [i9] [i8] [i6] [i5] [c14] [c13] [c12] [c11] [c10] [i3] [i2] [i1] [c9] [c8] [c7] [p1] [c6] [c5] [c4] [c3] [c2]
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