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Daniel Manger
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2010 – 2019
- 2018
- [b1]Daniel Manger:
Kontextmodelle für lokale Merkmale zur inhaltsbasierten Bildsuche in großen Bilddatenbanken. Karlsruhe University, Germany, 2018 - [c8]Andras Tüzkö, Christian Herrmann, Daniel Manger, Jürgen Beyerer:
Open Set Logo Detection and Retrieval. VISIGRAPP (5: VISAPP) 2018: 284-292 - [c7]Daniel Manger, Dieter Willersinn, Jürgen Beyerer:
Towards Large-scale Image Retrieval with a Disk-only Index. VISIGRAPP (5: VISAPP) 2018: 367-372 - 2017
- [c6]Daniel Manger, Dieter Willersinn:
Enlarging the discriminability of bag-of-words representations with deep convolutional features. IPTA 2017: 1-6 - [i1]Andras Tüzkö, Christian Herrmann, Daniel Manger, Jürgen Beyerer:
Open Set Logo Detection and Retrieval. CoRR abs/1710.10891 (2017) - 2016
- [c5]Daniel Manger, Christian Herrmann, Dieter Willersinn:
Towards Extending Bag-of-Words-Models Using Context Features for an 2D Inverted Index. DICTA 2016: 1-5 - 2015
- [c4]Daniel Manger, Frank Pagel:
Camera-based forecasting of insolation for solar systems. Image Processing: Machine Vision Applications 2015: 94050M - [c3]Daniel Manger, Markus Müller, Markus Kubietziel:
Filtering local features for logo detection and localization in sports videos. ICSIPA 2015: 505-508 - 2014
- [c2]Daniel Manger, Jürgen Metzler:
Object detection in MOUT: evaluation of a hybrid approach for confirmation and rejection of object detection hypotheses. Image Processing: Machine Vision Applications 2014: 90240P - 2012
- [c1]Daniel Manger:
Large-Scale Tattoo Image Retrieval. CRV 2012: 454-459
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