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Joachim Folz
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2020 – today
- 2020
- [c14]Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel:
P ≈ NP, at least in Visual Question Answering. ICPR 2020: 2748-2754 - [c13]Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. WACV 2020: 3568-3577 - [i6]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) - [i5]Divya Gaur, Joachim Folz, Andreas Dengel:
Training Deep Neural Networks Without Batch Normalization. CoRR abs/2008.07970 (2020)
2010 – 2019
- 2019
- [c12]Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel:
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. ICIP 2019: 1480-1484 - 2018
- [c11]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? CVPR 2018: 3108-3117 - [i4]Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR abs/1803.07994 (2018) - [i3]Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What do Deep Networks Like to See? CoRR abs/1803.08337 (2018) - 2017
- [c10]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 - [i2]Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel:
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. CoRR abs/1709.05932 (2017) - 2016
- [c9]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 - [c8]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) 2016: 17-20 - [c7]Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel:
Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) 2016 - [c6]Tim Schwartz, Michael Feld, Christian Bürckert, Svilen Dimitrov, Joachim Folz, Dieter Hutter, Peter Hevesi, Bernd Kiefer, Hans-Ulrich Krieger, Christoph Lüth, Dennis Mronga, Gerald Pirkl, Thomas Röfer, Torsten Spieldenner, Malte Wirkus, Ingo Zinnikus, Sirko Straube:
Hybrid Teams of Humans, Robots, and Virtual Agents in a Production Setting. Intelligent Environments 2016: 234-237 - [c5]Tim Schwartz, Ingo Zinnikus, Hans-Ulrich Krieger, Christian Bürckert, Joachim Folz, Bernd Kiefer, Peter Hevesi, Christoph Lüth, Gerald Pirkl, Torsten Spieldenner, Norbert Schmitz, Malte Wirkus, Sirko Straube:
Hybrid Teams: Flexible Collaboration Between Humans, Robots and Virtual Agents. MATES 2016: 131-146 - [i1]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) - 2015
- [c4]Ayano Okoso, Takumi Toyama, Kai Kunze, Joachim Folz, Marcus Liwicki, Koichi Kise:
Towards Extraction of Subjective Reading Incomprehension: Analysis of Eye Gaze Features. CHI Extended Abstracts 2015: 1325-1330 - [c3]Mizuki Matsubara, Joachim Folz, Takumi Toyama, Marcus Liwicki, Andreas Dengel, Koichi Kise:
Extraction of read text using a wearable eye tracker for automatic video annotation. UbiComp/ISWC Adjunct 2015: 849-854 - [c2]Joachim Folz, Christian Schulze, Damian Borth, Andreas Dengel:
Aesthetic Photo Enhancement using Machine Learning and Case-Based Reasoning. ASM@ACM Multimedia 2015: 27-32 - 2013
- [c1]Stephan Baumann, Rafael Schirru, Joachim Folz:
Filtering Relevant Facebook Status Updates for Users of Mobile Devices. ICAART (1) 2013: 353-356
Coauthor Index
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