Jörn Hees - RankMe

87 papers A* 3A 2B 13C 4Misc 5Journal 37Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tabular Data Adapters: Pseudo-Labeling Unlabeled Private Tabular Data for Outlier Detection. IEEE Access Dayananda Herurkar, Jörn Hees, Vesselin Tzvetkov, Andreas Dengel
2025	J	`jnl`	Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data. CoRR Dayananda Herurkar, Jörn Hees, Vesselin Tzvetkov, Andreas Dengel
2025	—	`conf`	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? DeLFI Doerthe Vieten, Jörn Hees
2024	—	`conf`	Computer-Assisted Short Answer Grading Using Large Language Models and Rubrics. INFORMATIK Tim Metzler, Paul G. Plöger, Jörn Hees
2024	J	`jnl`	Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. CoRR Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel
2023	B	`conf`	Cross-Domain Transformation for Outlier Detection on Tabular Datasets. IJCNN Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel
2023	J	`jnl`	DartsReNet: Exploring new RNN cells in ReNet architectures. CoRR Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2023	J	`jnl`	Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2023	—	`conf`	Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. SSCI Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa
2023	J	`jnl`	Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training. CoRR Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa
2023	—	`conf`	Knowledge Base Question Answering by Transformer-Based Graph Pattern Scoring. ICCBR Workshops Marcel Lamott, Jörn Hees, Adrian Ulges
2023	Misc	`conf`	RECol: Reconstruction Error Columns for Outlier Detection. KI Dayananda Herurkar, Mario Meier, Jörn Hees
2023	C	`conf`	Sequential Spatial Transformer Networks for Salient Object Classification. ICPRAM David Dembinsky, Fatemeh Azimi, Federico Raue, Jörn Hees, Sebastian Palacio, Andreas Dengel
2022	Misc	`conf`	Audioclip: Extending Clip to Image, Text and Audio. ICASSP Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2022	—	`conf`	DT2I: Dense Text-to-Image Generation from Region Descriptions. ICANN (2) Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel
2022	J	`jnl`	DT2I: Dense Text-to-Image Generation from Region Descriptions. CoRR Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel
2022	J	`jnl`	Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data. CoRR Timur Sattarov, Dayananda Herurkar, Jörn Hees
2022	J	`jnl`	Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
2022	—	`conf`	Less is More: Proxy Datasets in NAS approaches. CVPR Workshops Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2022	J	`jnl`	Less is More: Proxy Datasets in NAS approaches. CoRR Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2022	A	`conf`	Self-supervised Test-time Adaptation on Video Data. WACV Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel
2021	J	`jnl`	A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. CoRR Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
2021	B	`conf`	ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. IJCNN Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel
2021	J	`jnl`	Adversarial Text-to-Image Synthesis: A Review. CoRR Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
2021	J	`jnl`	Adversarial text-to-image synthesis: A review. Neural Networks Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
2021	—	`conf`	AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. GCPR Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
2021	J	`jnl`	AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. CoRR Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
2021	J	`jnl`	AudioCLIP: Extending CLIP to Image, Text and Audio. CoRR Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2021	Misc	`conf`	Combining Transformer Generators with Convolutional Discriminators. KI Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
2021	J	`jnl`	Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. CoRR Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
2021	B	`conf`	ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. IJCNN Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2021	J	`jnl`	ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio. CoRR Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2021	—	`conf`	Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. VISIGRAPP (4: VISAPP) Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
2021	J	`jnl`	RECol: Reconstruction Error Columns for Outlier Detection. CoRR Jörn Hees, Dayananda Herurkar, Mario Meier
2021	—	`conf`	Rethinking RNN-Based Video Object Segmentation. VISIGRAPP (Revised Selected Papers) Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
2021	J	`jnl`	Spatial Transformer Networks for Curriculum Learning. CoRR Fatemeh Azimi, Jean-Francois Jacques Nicolas Nies, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2021	—	`conf`	XAI Handbook: Towards a Unified Framework for Explainable AI. ICCVW Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel
2021	J	`jnl`	XAI Handbook: Towards a Unified Framework for Explainable AI. CoRR Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel
2020	A	`conf`	Adversarial Defense based on Structure-to-Signal Autoencoders. WACV Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel
2020	B	`conf`	Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. ICPR Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
2020	—	`conf`	DartsReNet: Exploring New RNN Cells in ReNet Architectures. ICANN (1) Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2020	B	`conf`	ESResNet: Environmental Sound Classification Based on Visual Domain Models. ICPR Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	ESResNet: Environmental Sound Classification Based on Visual Domain Models. CoRR Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	Hybrid Sequence to Sequence Model for Video Object Segmentation. CoRR Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	Leveraging Visual Question Answering to Improve Text-to-Image Synthesis. CoRR Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel
2020	B	`conf`	P ≈ NP, at least in Visual Question Answering. ICPR Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	P ≈ NP, at least in Visual Question Answering. CoRR Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020	B	`conf`	Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	The Focus-Aspect-Value model for predicting subjective visual attributes. Int. J. Multim. Inf. Retr. Philipp Blandfort, Tushar Karayil, Jörn Hees, Andreas Dengel
2019	—	`conf`	A Reinforcement Learning Approach for Sequential Spatial Transformer Networks. ICANN (1) Fatemeh Azimi, Federico Raue, Jörn Hees, Andreas Dengel
2019	—	`conf`	Comparison Between U-Net and U-ReNet Models in OCR Tasks. ICANN (3) Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2019	—	`conf`	Conditional GANs for Image Captioning with Sentiments. ICANN (4) Tushar Karayil, Asif Irfan, Federico Raue, Jörn Hees, Andreas Dengel
2019	B	`conf`	Fusion Strategies for Learning User Embeddings with Neural Networks. IJCNN Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel
2019	J	`jnl`	Fusion Strategies for Learning User Embeddings with Neural Networks. CoRR Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel
2019	C	`conf`	Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a Global Scale. IGARSS Benjamin Bischke, Patrick Helber, Jörn Hees, Andreas Dengel
2019	C	`conf`	Multi-Scale Machine Learning for the Classification of Building Property Values. IGARSS Patrick Helber, Benjamin Bischke, Qiushi Guo, Jörn Hees, Andreas Dengel
2019	B	`conf`	The Focus-Aspect-Value Model for Explainable Prediction of Subjective Visual Interpretation. ICMR Tushar Karayil, Philipp Blandfort, Jörn Hees, Andreas Dengel
2019	C	`conf`	Towards a Sentinel-2 Based Human Settlement Layer. IGARSS Patrick Helber, Benjamin Bischke, Jörn Hees, Andreas Dengel
2018	J	`jnl`	Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel
2018	J	`jnl`	An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor. CoRR Markus Schröder, Christian Jilek, Jörn Hees, Sven Hertling, Andreas Dengel
2018	J	`jnl`	An Overview of Computational Approaches for Analyzing Interpretation. CoRR Philipp Blandfort, Jörn Hees, Desmond Upton Patton
2018	—	`conf`	Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths. ESWC (Satellite Events) Markus Schröder, Jörn Hees, Ansgar Bernardi, Daniel Ewert, Peter Klotz, Steffen Stadtmüller
2018	J	`jnl`	Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths. CoRR Markus Schröder, Jörn Hees, Ansgar Bernardi, Daniel Ewert, Peter Klotz, Steffen Stadtmüller
2018	—	`—`	Simulating Human Associations with Linked Data. Jörn Hees
2018	J	`jnl`	The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images. CoRR Tushar Karayil, Philipp Blandfort, Jörn Hees, Andreas Dengel
2018	J	`jnl`	Towards Semantically Enhanced Data Understanding. CoRR Markus Schröder, Christian Jilek, Jörn Hees, Andreas Dengel
2018	A*	`conf`	What Do Deep Networks Like to See? CVPR Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2018	J	`jnl`	What do Deep Networks Like to See? CoRR Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2017	—	`conf`	Predicting Human Associations with Graph Patterns Learned from Linked Data. ISWC (Posters, Demos & Industry Tracks) Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2017	—	`conf`	RDF Spreadsheet Editor: Get (G)rid of Your RDF Data Entry Problems. ISWC (Posters, Demos & Industry Tracks) Markus Schröder, Christian Jilek, Jörn Hees, Sven Hertling, Andreas Dengel
2016	B	`conf`	An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. EKAW Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	J	`jnl`	An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia. CoRR Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	—	`conf`	Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	—	`conf`	Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	J	`jnl`	TSSort: Probabilistic Noise Resistant Sorting. CoRR Jörn Hees, Benjamin Adrian, Ralf Biedert, Thomas Roth-Berghofer, Andreas Dengel
2014	J	`jnl`	Analysis and Forecasting of Trending Topics in Online Media Streams. CoRR Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2013	A*	`conf`	Analysis and forecasting of trending topics in online media streams. ACM Multimedia Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2013	B	`conf`	Collecting Links between Entities Ranked by Human Association Strengths. ESWC Jörn Hees, Mohamed Khamis, Ralf Biedert, Slim Abdennadher, Andreas Dengel
2012	B	`conf`	A robust realtime reading-skimming classifier. ETRA Ralf Biedert, Jörn Hees, Andreas Dengel, Georg Buscher
2012	—	`ch.`	BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game. SeCO Book Jörn Hees, Thomas Roth-Berghofer, Ralf Biedert, Benjamin Adrian, Andreas Dengel
2011	Misc	`conf`	BetterRelations: Using a Game to Rate Linked Data Triples. KI Jörn Hees, Thomas Roth-Berghofer, Ralf Biedert, Benjamin Adrian, Andreas Dengel
2010	B	`conf`	Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data. EKAW Benjamin Adrian, Jörn Hees, Ivan Herman, Michael Sintek, Andreas Dengel
2010	—	`conf`	Linked Data Games: Simulating Human Association with Linked Data. LWA Jörn Hees, Thomas Roth-Berghofer, Andreas Dengel
2010	—	`conf`	Text 2.0. CHI Extended Abstracts Ralf Biedert, Georg Buscher, Sven Schwarz, Jörn Hees, Andreas Dengel
2009	A*	`conf`	TubeFiler: an automatic web video categorizer. ACM Multimedia Damian Borth, Jörn Hees, Markus Koch, Adrian Ulges, Christian Schulze, Thomas M. Breuel, Roberto Paredes
2009	Misc	`conf`	iDocument: Using Ontologies for Extracting and Annotating Information from Unstructured Text. KI Benjamin Adrian, Jörn Hees, Ludger van Elst, Andreas Dengel