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Marcin Kopaczka
Marcin Kopaczka
Research Scientist
Verified email at rwth-aachen.de - Homepage
Title
Cited by
Cited by
Year
A thermal infrared face database with facial landmarks and emotion labels
M Kopaczka, R Kolk, J Schock, F Burkhard, D Merhof
IEEE Transactions on Instrumentation and Measurement 68 (5), 1389-1401, 2018
652018
A fully annotated thermal face database and its application for thermal facial expression recognition
M Kopaczka, R Kolk, D Merhof
2018 IEEE international instrumentation and measurement technology …, 2018
582018
Robust Facial Landmark Detection and Face Tracking in Thermal Infrared Images using Active Appearance Models
M Kopaczka, K Acar, D Merhof
VISAPP 2016, 150-158, 2016
412016
Face detection in thermal infrared images: A comparison of algorithm-and machine-learning-based approaches
M Kopaczka, J Nestler, D Merhof
Advanced Concepts for Intelligent Vision Systems: 18th International …, 2017
362017
A modular system for detection, tracking and analysis of human faces in thermal infrared recordings
M Kopaczka, L Breuer, J Schock, D Merhof
Sensors 19 (19), 4135, 2019
242019
A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images
M Kopaczka, J Schock, J Nestler, K Kielholz, D Merhof
2018 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2018
242018
An unsupervised learning approach for tracking mice in an enclosed area
J Unger, M Mansour, M Kopaczka, N Gronloh, M Spehr, D Merhof
BMC bioinformatics 18, 1-14, 2017
232017
Improvement of the Mouse Grimace Scale set-up for implementing a semi-automated Mouse Grimace Scale scoring (Part 1)
L Ernst, M Kopaczka, M Schulz, SR Talbot, L Zieglowski, M Meyer, ...
Laboratory animals 54 (1), 83-91, 2020
202020
Defect detection in plain weave fabrics by yarn tracking and fully convolutional networks
L Weninger, M Kopaczka, D Merhof
2018 IEEE International Instrumentation and Measurement Technology …, 2018
192018
Semi-automated generation of pictures for the Mouse Grimace Scale: A multi-laboratory analysis (Part 2)
L Ernst, M Kopaczka, M Schulz, SR Talbot, B Struve, C Haeger, A Bleich, ...
Laboratory animals 54 (1), 92-98, 2020
142020
Face tracking and respiratory signal analysis for the detection of sleep apnea in thermal infrared videos with head movement
M Kopaczka, O Oezkan, D Merhof
New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017
142017
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
M Kopaczka, J Schock, D Merhof
arXiv preprint arXiv:1902.03459, 2019
122019
Towards annotation-free segmentation of fluorescently labeled cell membranes in confocal microscopy images
D Eschweiler, T Klose, FN Müller-Fouarge, M Kopaczka, J Stegmaier
Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019
122019
A method for semantic knee bone and cartilage segmentation with deep 3D shape fitting using data from the osteoarthritis initiative
J Schock, M Kopaczka, B Agthe, J Huang, P Kruse, D Truhn, S Conrad, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020
112020
Assessment of laboratory mouse activity in video recordings using deep learning methods
M Kopaczka, D Tillmann, L Ernst, J Schock, R Tolba, D Merhof
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
82019
Automatic key frame extraction from videos for efficient mouse pain scoring
M Kopaczka, L Ernst, J Heckelmann, C Schorn, R Tolba, D Merhof
2018 5th International Conference on Signal Processing and Integrated …, 2018
72018
The Open Field Test as a Tool for Behaviour Analysis in Pigs: Recommendations for Set-Up Standardization–A Systematic Review
M Schulz, L Zieglowski, M Kopaczka, RH Tolba
European Surgical Research 64 (1), 7-26, 2023
62023
A model-specific simplification of the Mouse Grimace Scale based on the pain response of intraperitoneal CCl4 injections
L Ernst, S Bruch, M Kopaczka, D Merhof, A Bleich, RH Tolba, SR Talbot
Scientific Reports 12 (1), 10910, 2022
62022
Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods
M Kopaczka, M Saggiomo, M Güttler, K Kielholz, D Merhof
Pattern Recognition Applications and Methods: 7th International Conference …, 2019
52019
Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition.
M Kopaczka, M Saggiomo, M Güttler, T Gries, D Merhof
ICPRAM, 124-132, 2018
52018
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