Martin Köstinger
Short CV
Martin Köstinger received his MSc Degree in Software Development and Business Management from the Graz University of Technology in 2009. He is currently a research assistant at the Institute for Computer Graphics and Vision where he is involved in the Multimedia Documentation Lab (KIRAS - MDL) Project. His research is focused on Object Detection and Recognition, with a special focus on faces.Research
- Multi-view Face Detection
- Face Recognition
- Visual Speaker Identification
- Self-supervised Learning
- Natural image OCR
Videos
Face Recognition |
... from Videos only using Weakly Related Information Cues |
Visual Speaker Identification
Optical Character Recognition in Videos (VideoOCR) and Natural Images
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Student Projects
| How George-Bush(y) is your nose? |
Project Type Sem./Proj., Bachelors Project Status Open Topic Description Expemplar based Face Recognition! Train classifiers to recognize the presence or absence of aspects of visual appearance Attributes like e.g. male/female, hair color, mustache Similarity to prototypes e.g. nose like George Bush. Requirements MATLAB, C++, Interest in Machine Learning and Computer Vision Contact koestinger(at)icg.tugraz.at Information Link to ICG opportunities |
| Robust Visual Speaker Identification |
Project Type Sem./Proj., Bachelors Project Status Open Topic Description Detect in real-world scenes if a person is speaking or not Requirements MATLAB, C++, Interest in Machine Learning and Computer Vision Contact koestinger(at)icg.tugraz.at Information Link to ICG opportunities |
| Optical Character Recognition in Videos |
Project Type Sem./Proj., Bachelors Project Status Open Topic Description Optical Character Recognition in Videos. Improve existing video OCR approach with some features. E.g. different character extraction oder segmentation. Requirements MATLAB, C++, Interest in Machine Learning and Computer Vision Contact koestinger(at)icg.tugraz.at |
Publications
2011
- Open Source Intelligence am Beispiel von KIRAS MDL: Multimedia Documentation Lab In Proceedings of 9. Sicherheitskonferenz Krems, Donau-Universitaet Krems, 2011
- Learning to Recognize Faces from Videos and Weakly Related Information Cues In Proc. IEEE Int'l Conf. on Advanced Video and Signal-Based Surveillance, 2011
- Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, 2011
- Multiple Instance Boosting for Face Recognition in Videos In Proc. DAGM Symposium, 2011
- Learning Face Recognition in Videos from Associated Information Sources In Proc. Workshop of the Austrian Association for Pattern Recognition, 2011
2010
- Video Detection of Dangerous Goods Vehicles in Road Tunnels In Proc. Tunnel Safety and Ventilation, 2010
- Automatic Detection and Reading of Dangerous Goods Plates In Proc. IEEE Int'l Conf. on Advanced Video and Signal-Based Surveillance, 2010
2010
- Planar Trademark and Logo Retrieval Technical Report, Graz University of Technology, Inst. f. Computer Graphics and Vision, ICG-TR-10/01, 2010 (Presented at Computer Vision Winter Workshop 2010)
2009
- KIRAS-MDL State-of-the-Art Report Technical Report, Graz University of Technology, Inst. f. Computer Graphics and Vision, ICG-TR-09/09, 2009
2009
- An Object Recognition System for planar Trademark and Logo Retrieval MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2009
