Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling. - Marc Ritter; Danny Kowerko; Hussein Hussein; Manuel Heinzig; Tobias Schlosser; Robert Manthey; Gisela Susanne Bahr (HCI (9), 2016)

Technische Universität Chemnitz at TRECVID Instance Search 2016. - Stefan Kahl; Christian Roschke; Markus Rickert 002; Daniel Richter; Anna Zywietz; Hussein Hussein; Robert Manthey; Manuel Heinzig; Danny Kowerko; Maximilian Eibl; Marc Ritter (TRECVID, 2016)

OphthalVis - Making Data Analytics of Optical Coherence Tomography Reproducible. - Paul Rosenthal; Marc Ritter; Danny Kowerko; Christian Heine 002 (EuroRV³@EuroVis, 2016)

Large-Scale Bird Sound Classification using Convolutional Neural Networks. - Stefan Kahl; Thomas Wilhelm-Stein; Hussein Hussein; Holger Klinck; Danny Kowerko; Marc Ritter; Maximilian Eibl (CLEF (Working Notes), 2017)

Acoustic Event Classification Using Convolutional Neural Networks. - Stefan Kahl; Hussein Hussein; Etienne Fabian; Jan Schloßhauer; Enniyan Thangaraju; Danny Kowerko; Maximilian Eibl (GI-Jahrestagung, 2017)

WS34 - Deep Learning in heterogenen Datenbeständen. - Danny Kowerko; Stefan Kahl (GI-Jahrestagung, 2017)

Fast and accurate creation of annotated head pose image test beds as prerequisite for training neural networks. - Danny Kowerko; Robert Manthey; Marcel Heinz; Thomas Kronfeld; Guido Brunnett (GI-Jahrestagung, 2017)

Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios. - Danny Kowerko; Daniel Richter; Manuel Heinzig; Stefan Kahl; Stefan Helmert; Guido Brunnett (GI-Jahrestagung, 2017)

Preparing clinical ophthalmic data for research application. - Miriam Rößner; Stefan Kahl; Katrin Engelmann; Danny Kowerko (GI-Jahrestagung, 2017)

An Exploratory Comparison of the Visual Quality of Virtual Reality Systems Based on Device-Independent Testsets. - Robert Manthey; Marc Ritter; Manuel Heinzig; Danny Kowerko (HCI (10), 2017)

Aufbereitung augenmedizinischer Bild-, Patienten- und Diagnosedaten zum Zwecke der Forschung - Ethikrichtlinen und deren praktische Umsetzung. - Danny Kowerko; Miriam Rößner; Stefan Kahl; Robert Herms; Maximilian Eibl; Katrin Engelmann (MuC (Workshopband), 2017)

Technische Universität Chemnitz and Hochschule Mittweida at TRECVID Instance Search 2017. - Stefan Kahl; Daniel Richter; Christian Roschke; Manuel Heinzig; Danny Kowerko; Maximilian Eibl; Marc Ritter (TRECVID, 2017)

Large-Scale Plant Classification using Deep Convolutional Neural Networks. - Josef Haupt; Stefan Kahl; Danny Kowerko; Maximilian Eibl (CLEF (Working Notes), 2018)

A Baseline for Large-Scale Bird Species Identification in Field Recordings. - Stefan Kahl; Thomas Wilhelm-Stein; Holger Klinck; Danny Kowerko; Maximilian Eibl (CLEF (Working Notes), 2018)

Species Prediction based on Environmental Variables using Machine Learning Techniques. - Stefan Taubert; Max Mauermann; Stefan Kahl; Danny Kowerko; Maximilian Eibl (CLEF (Working Notes), 2018)

University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID 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 (TRECVID, 2018)

Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System. - Stefan Kahl; Thomas Wilhelm-Stein; Holger Klinck; Danny Kowerko; Maximilian Eibl (CoRR, 2018)

Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores. - Stefan Taubert; Stefan Kahl; Danny Kowerko; Maximilian Eibl (CLEF (Working Notes), 2019)

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. - Tobias Schlosser; Frederik Beuth; Michael Friedrich 005; Danny Kowerko (ETFA, 2019)

An Exploratory Inspection of the Detection Quality of Pose and Object Detection Systems by Synthetic Data. - Robert Manthey; Falk Schmidsberger; Rico Thomanek; Christian Roschke; Tony Rolletschke; Benny Platte; Marc Ritter; Danny Kowerko (HCI (34), 2019)

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. - Tobias Schlosser; Michael Friedrich 005; Danny Kowerko (ICMLA, 2019)

Hexagonal Image Generation by Virtual Multi-grid-Camera. - Robert Manthey; Danny Kowerko (IHSI, 2019)

Visual System Examination Using Synthetic Scenarios. - Robert Manthey; Rico Thomanek; Christian Roschke; Tony Rolletschke; Benny Platte; Marc Ritter; Danny Kowerko (IHSI, 2019)

A Real-Time Demo for Acoustic Event Classification in Ambient Assisted Living Contexts. - Arunodhayan Sampath Kumar; René Erler; Danny Kowerko (ACM Multimedia, 2019)

University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019. - Rico Thomanek; Christian Roschke; Benny Platte; Tony Rolletschke; Tobias Schlosser; Manuel Heinzig; Matthias Vodel; Danny Kowerko; Frank Zimmer; Maximilian Eibl; Marc Ritter (TRECVID, 2019)

Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020. - Nisnab Udas; Frederik Beuth; Danny Kowerko (CLEF (Working Notes), 2020)

Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. - Tobias Schlosser; Frederik Beuth; Danny Kowerko (ICIP, 2020)

Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. - Frederik Beuth; Tobias Schlosser; Michael Friedrich 005; Danny Kowerko (IECON, 2020)

TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets. - Arunodhayan Sampath Kumar; Danny Kowerko (CLEF (Working Notes), 2021)

TUC Media Computing at BirdCLEF 2022: Strategies in identifying bird sounds in a complex acoustic environments. - Arunodhayan Sampath Kumar; Danny Kowerko (CLEF (Working Notes), 2022)

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System. - Tobias Schlosser; Frederik Beuth; Trixy Meyer; Arunodhayan Sampath Kumar; Gabriel Stolze; Olga Furashova; Katrin Engelmann; Danny Kowerko (CoRR, 2022)

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. - Tobias Schlosser; Michael Friedrich 005; Frederik Beuth; Danny Kowerko (J. Intell. Manuf., 2022)

Mobile Study Support System for Resident Physicians as Dual-Benefit Scenario. - Benny Platte; Holger Langner; Jan Anastassis Skuras; Christian Roschke; Marc Ritter; Danny Kowerko (CENTERIS/ProjMAN/HCist, 2024)

TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. - Arunodhayan Sampath Kumar; Tobias Schlosser; Danny Kowerko (CLEF (Working Notes), 2024)

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. - Zhining Hu; Tobias Schlosser; Michael Friedrich 005; André Luiz Buarque Vieira e Silva; Frederik Beuth; Danny Kowerko (ETFA, 2024)

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. - Katja Hoffmann; Yuan Peng 011; Tobias Schlosser; Gabriel Stolze; Holger Langner; Marcel Susky; Trixy Meyer; Marc Ritter; Danny Kowerko; Vinodh Kakkassery; Markus Wolfien; Martin Sedlmayr (GMDS, 2024)

"Synthetic-Seed-Saturation" Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies. - Benny Platte; Danny Kowerko; Holger Langner; Jan Anastassis Skuras; Marc Ritter; Christian Roschke (ICHI, 2024)

Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. - André Luiz Buarque Vieira e Silva; Francisco Simões; Danny Kowerko; Tobias Schlosser; Felipe Battisti; Veronica Teichrieb (WACV, 2024)

Hexagonal Image Processing for Computer Vision With Hexnet: A Hexagonal Image Processing Data Set and Generator. - Tobias Schlosser; Michael Friedrich 005; Trixy Meyer; Maximilian Eibl; Danny Kowerko (IEEE Access, 2024)

Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study. - André Luiz Buarque Vieira e Silva; Francisco Simões; Danny Kowerko; Tobias Schlosser; Felipe Battisti; Veronica Teichrieb (CoRR, 2024)

Improving learning-based birdsong classification by utilizing combined audio augmentation strategies. - Arunodhayan Sampath Kumar; Tobias Schlosser; Stefan Kahl; Danny Kowerko (Ecol. Informatics, 2024)

Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning. - Sara Moniri; Tobias Schlosser; Danny Kowerko (Comput., 2024)