Christian Herrmann
Affiliations:- Karlsruhe Institute of Technology KIT, Vision and Fusion Lab, Germany
- Fraunhofer Institute of Optronics, Karlsruhe, Germany
According to our database1,
Christian Herrmann
authored at least 18 papers
between 2014 and 2018.
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Bibliography
2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
Distant pulse oximetry based on skin region extraction and multi-spectral measurement.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
2017
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017
2016
Towards Extending Bag-of-Words-Models Using Context Features for an 2D Inverted Index.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016
2015
Low-resolution video face recognition with face normalization and feature adaptation.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
Proceedings of the Image Processing: Machine Vision Applications VIII, 2015
3D vs. 2D: On the Importance of Registration for Hallucinating Faces Under Unconstrained Poses.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015
2014
Pyramid Mean Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
Maximizing face recognition performance for video data under time constraints by using a cascade.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014