Danny Kowerko

50 papers A* 1A 1B 1C 4Journal 15Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Transfer of Collinearity to Computer Vision.
CoRR
Frederik Beuth, Danny Kowerko
2026 J jnl
Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system.
J. Intell. Manuf.
Michael Friedrich, Tobias Schlosser, Danny Kowerko
2024 — conf
"Synthetic-Seed-Saturation" Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies.
ICHI
Benny Platte, Danny Kowerko, Holger Langner, Jan Anastassis Skuras, Marc Ritter, Christian Roschke
2024 A conf
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study.
WACV
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
2024 J jnl
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study.
CoRR
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
2024 J jnl
Hexagonal Image Processing for Computer Vision With Hexnet: A Hexagonal Image Processing Data Set and Generator.
IEEE Access
Tobias Schlosser, Michael Friedrich, Trixy Meyer, Maximilian Eibl, Danny Kowerko
2024 J jnl
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies.
Ecol. Informatics
Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko
2024 J jnl
Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning.
Comput.
Sara Moniri, Tobias Schlosser, Danny Kowerko
2024 — conf
Mobile Study Support System for Resident Physicians as Dual-Benefit Scenario.
CENTERIS/ProjMAN/HCist
Benny Platte, Holger Langner, Jan Anastassis Skuras, Christian Roschke, Marc Ritter, Danny Kowerko
2024 — conf
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models.
CLEF (Working Notes)
Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko
2024 — conf
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.
GMDS
Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr
2024 C conf
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.
ETFA
Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko
2024 J jnl
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.
CoRR
Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko
2023 J jnl
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study.
CoRR
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
2022 J jnl
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks.
J. Intell. Manuf.
Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko
2022 — conf
TUC Media Computing at BirdCLEF 2022: Strategies in identifying bird sounds in a complex acoustic environments.
CLEF (Working Notes)
Arunodhayan Sampath Kumar, Danny Kowerko
2022 J jnl
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System.
CoRR
Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko
2021 J jnl
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation.
CoRR
Tobias Schlosser, Frederik Beuth, Danny Kowerko
2021 J jnl
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
CoRR
Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
2021 — conf
TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets.
CLEF (Working Notes)
Arunodhayan Sampath Kumar, Danny Kowerko
2020 B conf
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation.
ICIP
Tobias Schlosser, Frederik Beuth, Danny Kowerko
2020 — conf
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020.
CLEF (Working Notes)
Nisnab Udas, Frederik Beuth, Danny Kowerko
2020 C conf
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
IECON
Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
2019 C conf
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
ETFA
Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
2019 J jnl
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
CoRR
Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
2019 A* conf
A Real-Time Demo for Acoustic Event Classification in Ambient Assisted Living Contexts.
ACM Multimedia
Arunodhayan Sampath Kumar, René Erler, Danny Kowerko
2019 — conf
An Exploratory Inspection of the Detection Quality of Pose and Object Detection Systems by Synthetic Data.
HCI (34)
Robert Manthey, Falk Schmidsberger, Rico Thomanek, Christian Roschke, Tony Rolletschke, Benny Platte, Marc Ritter, Danny Kowerko
2019 — conf
Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores.
CLEF (Working Notes)
Stefan Taubert, Stefan Kahl, Danny Kowerko, Maximilian Eibl
2019 — conf
Hexagonal Image Generation by Virtual Multi-grid-Camera.
IHSI
Robert Manthey, Danny Kowerko
2019 C conf
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework.
ICMLA
Tobias Schlosser, Michael Friedrich, Danny Kowerko
2019 J jnl
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework.
CoRR
Tobias Schlosser, Michael Friedrich, Danny Kowerko
2019 — conf
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019.
TRECVID
Rico Thomanek, Christian Roschke, Benny Platte, Tony Rolletschke, Tobias Schlosser, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Frank Zimmer, Maximilian Eibl, Marc Ritter
2019 — conf
Visual System Examination Using Synthetic Scenarios.
IHSI
Robert Manthey, Rico Thomanek, Christian Roschke, Tony Rolletschke, Benny Platte, Marc Ritter, Danny Kowerko
2018 — conf
A Baseline for Large-Scale Bird Species Identification in Field Recordings.
CLEF (Working Notes)
Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl
2018 — conf
Large-Scale Plant Classification using Deep Convolutional Neural Networks.
CLEF (Working Notes)
Josef Haupt, Stefan Kahl, Danny Kowerko, Maximilian Eibl
2018 J jnl
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System.
CoRR
Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl
2018 — conf
Species Prediction based on Environmental Variables using Machine Learning Techniques.
CLEF (Working Notes)
Stefan Taubert, Max Mauermann, Stefan Kahl, Danny Kowerko, Maximilian Eibl
2018 — conf
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID 2018.
TRECVID
Rico Thomanek, Christian Roschke, Robert Manthey, Benny Platte, Tony Rolletschke, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Stefan Kahl, Frank Zimmer, Maximilian Eibl, Marc Ritter
2017 — conf
Acoustic Event Classification Using Convolutional Neural Networks.
GI-Jahrestagung
Stefan Kahl, Hussein Hussein, Etienne Fabian, Jan Schloßhauer, Enniyan Thangaraju, Danny Kowerko, Maximilian Eibl
2017 — conf
An Exploratory Comparison of the Visual Quality of Virtual Reality Systems Based on Device-Independent Testsets.
HCI (10)
Robert Manthey, Marc Ritter, Manuel Heinzig, Danny Kowerko
2017 — conf
Aufbereitung augenmedizinischer Bild-, Patienten- und Diagnosedaten zum Zwecke der Forschung - Ethikrichtlinen und deren praktische Umsetzung.
MuC (Workshopband)
Danny Kowerko, Miriam Rößner, Stefan Kahl, Robert Herms, Maximilian Eibl, Katrin Engelmann
2017 — conf
Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios.
GI-Jahrestagung
Danny Kowerko, Daniel Richter, Manuel Heinzig, Stefan Kahl, Stefan Helmert, Guido Brunnett
2017 — conf
Fast and accurate creation of annotated head pose image test beds as prerequisite for training neural networks.
GI-Jahrestagung
Danny Kowerko, Robert Manthey, Marcel Heinz, Thomas Kronfeld, Guido Brunnett
2017 — conf
Large-Scale Bird Sound Classification using Convolutional Neural Networks.
CLEF (Working Notes)
Stefan Kahl, Thomas Wilhelm-Stein, Hussein Hussein, Holger Klinck, Danny Kowerko, Marc Ritter, Maximilian Eibl
2017 — conf
Preparing clinical ophthalmic data for research application.
GI-Jahrestagung
Miriam Rößner, Stefan Kahl, Katrin Engelmann, Danny Kowerko
2017 — conf
Technische Universität Chemnitz and Hochschule Mittweida at TRECVID Instance Search 2017.
TRECVID
Stefan Kahl, Daniel Richter, Christian Roschke, Manuel Heinzig, Danny Kowerko, Maximilian Eibl, Marc Ritter
2017 — conf
WS34 - Deep Learning in heterogenen Datenbeständen.
GI-Jahrestagung
Danny Kowerko, Stefan Kahl
2016 — conf
OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible.
EuroRV³@EuroVis
Paul Rosenthal, Marc Ritter, Danny Kowerko, Christian Heine
2016 — conf
Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling.
HCI (9)
Marc Ritter, Danny Kowerko, Hussein Hussein, Manuel Heinzig, Tobias Schlosser, Robert Manthey, Gisela Susanne Bahr
2016 — conf
Technische Universität Chemnitz at TRECVID Instance Search 2016.
TRECVID
Stefan Kahl, Christian Roschke, Markus Rickert, Daniel Richter, Anna Zywietz, Hussein Hussein, Robert Manthey, Manuel Heinzig, Danny Kowerko, Maximilian Eibl, Marc Ritter