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ORCIDFlorian Baumann
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2010 – 2019
- 2018
[c19]Florian Baumann, Dominik Emmert, Hermann Baumgartl, Ricardo Buettner:
Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. KES 2018: 1289-1297- 2017
- [j3]Florian Baumann, Tim Friehe:
On Adverse Effects of Consumers' Attaching Greater Importance to Firms' Ethical Conduct. Games 8(3): 39 (2017) - 2016
- [j2]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Jie Liao:
Recognizing human actions using novel space-time volume binary patterns. Neurocomputing 173: 54-63 (2016) - [c18]Enes Dayangac, Florian Baumann, Josep Aulinas, Matthias Zobel:
Target Position and Speed Estimation Using LiDAR. ICIAR 2016: 470-477 - [c17]Florian Baumann, Enes Dayangac, Josep Aulinas, Matthias Zobel:
MedianStruck for long-term tracking applications. IPTA 2016: 1-6 - 2015
- [b1]Florian Baumann:
Random forests and their applications in scene understanding. University of Hanover, Hannover, Germany, VDI Verlag 2015, ISBN 978-3-18-384510-1, pp. 1-154 - [c16]Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred Effenberg, Bodo Rosenhahn:
On-The-Fly Handwriting Recognition Using a High-Level Representation. CAIP (1) 2015: 1-13 - [c15]Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn:
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. CRV 2015: 155-160 - [c14]Florian Baumann, Karsten Vogt, Arne Ehlers, Bodo Rosenhahn:
Probabilistic nodes for modelling classification uncertainty for random forest. MVA 2015: 510-513 - [c13]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Wei Liu:
Sequential Boosting for Learning a Random Forest Classifier. WACV 2015: 442-447 - 2014
- [c12]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Jie Liao:
Computation strategies for volume local binary patterns applied to action recognition. AVSS 2014: 68-73 - [c11]Florian Baumann, Irina Schulz, Bodo Rosenhahn:
Multi-sensor Acceleration-Based Action Recognition. ICIAR (2) 2014: 48-57 - [c10]Florian Baumann, Jie Lao, Arne Ehlers, Bodo Rosenhahn:
Motion Binary Patterns for Action Recognition. ICPRAM 2014: 385-392 - [c9]Florian Baumann, Fangda Li, Arne Ehlers, Bodo Rosenhahn:
Thresholding a Random Forest Classifier. ISVC (2) 2014: 95-106 - [c8]Arne Ehlers, Florian Baumann, Bodo Rosenhahn:
Boosted Fractal Integral Paths for Object Detection. ISVC (2) 2014: 458-470 - 2013
- [j1]Florian Baumann, Tim Friehe:
Cheap Talk about the Detection Probability. IGTR 15(1) (2013) - [c7]Arne Ehlers, Björn Scheuermann, Florian Baumann, Bodo Rosenhahn:
Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors. CIARP (1) 2013: 456-463 - [c6]Florian Baumann:
Action Recognition with HOG-OF Features. GCPR 2013: 243-248 - [c5]Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn:
Cascaded Random Forest for Fast Object Detection. SCIA 2013: 131-142 - [c4]Arne Ehlers, Florian Baumann, Bodo Rosenhahn:
Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification. SCIA 2013: 420-431 - 2011
- [c3]Arne Ehlers, Florian Baumann, Ralf Spindler, Birgit Glasmacher
, Bodo Rosenhahn:
PCA Enhanced Training Data for Adaboost. CAIP (1) 2011: 410-419 - [c2]Björn Scheuermann, Arne Ehlers, H. Riazy, Florian Baumann, Bodo Rosenhahn:
Ego-motion compensated face detection on a mobile device. CVPR Workshops 2011: 66-71 - 2010
- [c1]Florian Baumann, Katharina Ernst, Arne Ehlers, Bodo Rosenhahn:
Symmetry Enhanced Adaboost. ISVC (1) 2010: 286-295
Coauthor Index
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