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ORCIDDanny Kowerko
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- affiliation: Chemnitz University of Technology, Germany
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Journal Articles
- 2024
[j4]Tobias Schlosser
, Michael Friedrich, Trixy Meyer, Maximilian Eibl, Danny Kowerko:
Hexagonal Image Processing for Computer Vision With Hexnet: A Hexagonal Image Processing Data Set and Generator. IEEE Access 12: 189884-189901 (2024)- [j3]Sara Moniri, Tobias Schlosser, Danny Kowerko:
Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning. Comput. 13(8): 212 (2024) - [j2]Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko:
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies. Ecol. Informatics 82: 102699 (2024) - 2022
- [j1]Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko:
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. J. Intell. Manuf. 33(4): 1099-1123 (2022)
Conference and Workshop Papers
- 2024
- [c34]Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko:
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. CLEF (Working Notes) 2024: 2201-2208 - [c33]Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko:
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. ETFA 2024: 1-4 - [c32]Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr:
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. GMDS 2024: 139-145 - [c31]Benny Platte, Danny Kowerko, Holger Langner, Jan Anastassis Skuras, Marc Ritter, Christian Roschke:
"Synthetic-Seed-Saturation" Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies. ICHI 2024: 534-537 - [c30]André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb:
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. WACV 2024: 8231-8240 - 2022
- [c29]Arunodhayan Sampath Kumar, Danny Kowerko:
TUC Media Computing at BirdCLEF 2022: Strategies in identifying bird sounds in a complex acoustic environments. CLEF (Working Notes) 2022: 2189-2198 - 2021
- [c28]Arunodhayan Sampath Kumar, Danny Kowerko:
TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets. CLEF (Working Notes) 2021: 1617-1626 - 2020
- [c27]Nisnab Udas, Frederik Beuth, Danny Kowerko:
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020. CLEF (Working Notes) 2020 - [c26]Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. ICIP 2020: 848-852 - [c25]Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. IECON 2020: 5323-5330 - 2019
- [c24]Stefan Taubert, Stefan Kahl, Danny Kowerko, Maximilian Eibl:
Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores. CLEF (Working Notes) 2019 - [c23]Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. ETFA 2019: 1511-1514 - [c22]Robert Manthey, Falk Schmidsberger, Rico Thomanek, Christian Roschke, Tony Rolletschke, Benny Platte, Marc Ritter, Danny Kowerko:
An Exploratory Inspection of the Detection Quality of Pose and Object Detection Systems by Synthetic Data. HCI (34) 2019: 287-294 - [c21]Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. ICMLA 2019: 1866-1873 - [c20]Robert Manthey, Danny Kowerko:
Hexagonal Image Generation by Virtual Multi-grid-Camera. IHSI 2019: 17-22 - [c19]Robert Manthey, Rico Thomanek, Christian Roschke, Tony Rolletschke, Benny Platte, Marc Ritter, Danny Kowerko:
Visual System Examination Using Synthetic Scenarios. IHSI 2019: 418-422 - [c18]Arunodhayan Sampath Kumar, René Erler, Danny Kowerko:
A Real-Time Demo for Acoustic Event Classification in Ambient Assisted Living Contexts. ACM Multimedia 2019: 2205-2207 - [c17]Rico Thomanek, Christian Roschke, Benny Platte, Tony Rolletschke, Tobias Schlosser, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Frank Zimmer, Maximilian Eibl, Marc Ritter:
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019. TRECVID 2019 - 2018
- [c16]Josef Haupt, Stefan Kahl, Danny Kowerko, Maximilian Eibl:
Large-Scale Plant Classification using Deep Convolutional Neural Networks. CLEF (Working Notes) 2018 - [c15]Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl:
A Baseline for Large-Scale Bird Species Identification in Field Recordings. CLEF (Working Notes) 2018 - [c14]Stefan Taubert, Max Mauermann, Stefan Kahl, Danny Kowerko, Maximilian Eibl:
Species Prediction based on Environmental Variables using Machine Learning Techniques. CLEF (Working Notes) 2018 - [c13]Rico Thomanek, Christian Roschke, Robert Manthey, Benny Platte, Tony Rolletschke, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Stefan Kahl, Frank Zimmer, Maximilian Eibl, Marc Ritter:
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID 2018. TRECVID 2018 - 2017
- [c12]Stefan Kahl, Thomas Wilhelm-Stein, Hussein Hussein, Holger Klinck, Danny Kowerko, Marc Ritter, Maximilian Eibl:
Large-Scale Bird Sound Classification using Convolutional Neural Networks. CLEF (Working Notes) 2017 - [c11]Danny Kowerko, Stefan Kahl:
WS34 - Deep Learning in heterogenen Datenbeständen. GI-Jahrestagung 2017: 2141 - [c10]Stefan Kahl, Hussein Hussein, Etienne Fabian, Jan Schloßhauer, Enniyan Thangaraju, Danny Kowerko, Maximilian Eibl:
Acoustic Event Classification Using Convolutional Neural Networks. GI-Jahrestagung 2017: 2177-2188 - [c9]Danny Kowerko, Daniel Richter, Manuel Heinzig, Stefan Kahl, Stefan Helmert, Guido Brunnett:
Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios. GI-Jahrestagung 2017: 2201-2209 - [c8]Danny Kowerko, Robert Manthey, Marcel Heinz, Thomas Kronfeld, Guido Brunnett:
Fast and accurate creation of annotated head pose image test beds as prerequisite for training neural networks. GI-Jahrestagung 2017: 2221-2229 - [c7]Miriam Rößner, Stefan Kahl, Katrin Engelmann, Danny Kowerko:
Preparing clinical ophthalmic data for research application. GI-Jahrestagung 2017: 2231-2240 - [c6]Robert Manthey, Marc Ritter, Manuel Heinzig, Danny Kowerko:
An Exploratory Comparison of the Visual Quality of Virtual Reality Systems Based on Device-Independent Testsets. HCI (10) 2017: 130-140 - [c5]Danny Kowerko, Miriam Rößner, Stefan Kahl, Robert Herms, Maximilian Eibl, Katrin Engelmann:
Aufbereitung augenmedizinischer Bild-, Patienten- und Diagnosedaten zum Zwecke der Forschung - Ethikrichtlinen und deren praktische Umsetzung. MuC (Workshopband) 2017 - [c4]Stefan Kahl, Daniel Richter, Christian Roschke, Manuel Heinzig, Danny Kowerko, Maximilian Eibl, Marc Ritter:
Technische Universität Chemnitz and Hochschule Mittweida at TRECVID Instance Search 2017. TRECVID 2017 - 2016
- [c3]Marc Ritter, Danny Kowerko, Hussein Hussein, Manuel Heinzig, Tobias Schlosser, Robert Manthey, Gisela Susanne Bahr:
Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling. HCI (9) 2016: 492-504 - [c2]Stefan Kahl, Christian Roschke, Markus Rickert, Daniel Richter, Anna Zywietz, Hussein Hussein, Robert Manthey, Manuel Heinzig, Danny Kowerko, Maximilian Eibl, Marc Ritter:
Technische Universität Chemnitz at TRECVID Instance Search 2016. TRECVID 2016 - [c1]Paul Rosenthal, Marc Ritter, Danny Kowerko, Christian Heine:
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible. EuroRV³@EuroVis 2016: 9-13
Informal and Other Publications
- 2024
- [i9]André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb:
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study. CoRR abs/2401.08686 (2024) - [i8]Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko:
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. CoRR abs/2407.20268 (2024) - 2023
- [i7]André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb:
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. CoRR abs/2311.02747 (2023) - 2022
- [i6]Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko:
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System. CoRR abs/2204.11970 (2022) - 2021
- [i5]Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. CoRR abs/2101.00337 (2021) - [i4]Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. CoRR abs/2102.06955 (2021) - 2019
- [i3]Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. CoRR abs/1911.11250 (2019) - [i2]Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. CoRR abs/1911.11251 (2019) - 2018
- [i1]Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl:
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System. CoRR abs/1804.07177 (2018)
Coauthor Index
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