Danny Kowerko

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Top Venues

CLEF (Working Notes)

GI-Jahrestagung

Publications

Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. CLEF (Working Notes) (2024)
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 (2024)
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)
Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies. Ecol. Informatics 82 (2024)
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 (2024)
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 (2023)
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 (2022)
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)
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) (2022)
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 (2021)
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)
Tobias Schlosser, Frederik Beuth, Danny Kowerko
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. CoRR (2021)
Nisnab Udas, Frederik Beuth, Danny Kowerko
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020. CLEF (Working Notes) (2020)
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)
Tobias Schlosser, Frederik Beuth, Danny Kowerko
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. ICIP (2020)
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 (2019)
Stefan Taubert, Stefan Kahl, Danny Kowerko, Maximilian Eibl
Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores. CLEF (Working Notes) (2019)
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)
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)
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)
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)
Robert Manthey, Danny Kowerko
Hexagonal Image Generation by Virtual Multi-grid-Camera. IHSI (2019)
Arunodhayan Sampath Kumar, René Erler, Danny Kowerko
A Real-Time Demo for Acoustic Event Classification in Ambient Assisted Living Contexts. ACM Multimedia (2019)
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 (2019)
Robert Manthey, Rico Thomanek, Christian Roschke, Tony Rolletschke, Benny Platte, Marc Ritter, Danny Kowerko
Visual System Examination Using Synthetic Scenarios. IHSI (2019)
Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System. CoRR (2018)
Josef Haupt, Stefan Kahl, Danny Kowerko, Maximilian Eibl
Large-Scale Plant Classification using Deep Convolutional Neural Networks. CLEF (Working Notes) (2018)
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)
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)
Stefan Taubert, Max Mauermann, Stefan Kahl, Danny Kowerko, Maximilian Eibl
Species Prediction based on Environmental Variables using Machine Learning Techniques. CLEF (Working Notes) (2018)
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)
Stefan Kahl, Hussein Hussein, Etienne Fabian, Jan Schloßhauer, Enniyan Thangaraju, Danny Kowerko, Maximilian Eibl
Acoustic Event Classification Using Convolutional Neural Networks. GI-Jahrestagung (2017)
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)
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)
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)
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. Mensch & Computer Workshopband (2017)
Danny Kowerko, Stefan Kahl
WS34 - Deep Learning in heterogenen Datenbeständen. GI-Jahrestagung (2017)
Miriam Rößner, Stefan Kahl, Katrin Engelmann, Danny Kowerko
Preparing clinical ophthalmic data for research application. GI-Jahrestagung (2017)
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)
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)
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)
Paul Rosenthal, Marc Ritter, Danny Kowerko, Christian Heine
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible. EuroRV³@EuroVis (2016)