| Recognizing human actions using novel space-time volume binary patterns F Baumann, A Ehlers, B Rosenhahn, J Liao Neurocomputing 173, 54-63, 2016 | 42 | 2016 |
| Motion Binary Patterns for Action Recognition. F Baumann, J Lao, A Ehlers, B Rosenhahn, MY Yang ICPRAM, 385-392, 2014 | 24 | 2014 |
| Action recognition with hog-of features F Baumann German Conference on Pattern Recognition, 243-248, 2013 | 17 | 2013 |
| Computation strategies for volume local binary patterns applied to action recognition F Baumann, A Ehlers, B Rosenhahn, J Liao 2014 11th IEEE International Conference on Advanced Video and Signal Based …, 2014 | 15 | 2014 |
| Cascaded random forest for fast object detection F Baumann, A Ehlers, K Vogt, B Rosenhahn Scandinavian Conference on Image Analysis, 131-142, 2013 | 14 | 2013 |
| SoundScript-Supporting the acquisition of character writing by multisensory integration AO Effenberg, G Schmitz, F Baumann, B Rosenhahn, D Kroeger Open Psychology Journal 8 (2015), Nr. 1 8 (1), 230-237, 2015 | 12 | 2015 |
| Ego-motion compensated face detection on a mobile device B Scheuermann, A Ehlers, H Riazy, F Baumann, B Rosenhahn CVPR 2011 WORKSHOPS, 66-71, 2011 | 9 | 2011 |
| Symmetry enhanced adaboost F Baumann, K Ernst, A Ehlers, B Rosenhahn International Symposium on Visual Computing, 286-295, 2010 | 8 | 2010 |
| Boosted fractal integral paths for object detection A Ehlers, F Baumann, B Rosenhahn International Symposium on Visual Computing, 458-470, 2014 | 3 | 2014 |
| Thresholding a Random Forest Classifier F Baumann, F Li, A Ehlers, B Rosenhahn | 3 | 2014 |
| Device and method for producing a three-dimensional object with a fibre feeding device E Duffner, F Baumann US Patent App. 16/062,311, 2018 | 2 | 2018 |
| MedianStruck for long-term tracking applications F Baumann, E Dayangac, J Aulinas, M Zobel 2016 Sixth International Conference on Image Processing Theory, Tools and …, 2016 | 2 | 2016 |
| Target Position and Speed Estimation Using LiDAR E Dayangac, F Baumann, J Aulinas, M Zobel International Conference on Image Analysis and Recognition, 470-477, 2016 | 2 | 2016 |
| Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers F Baumann, J Chen, K Vogt, B Rosenhahn 2015 12th Conference on Computer and Robot Vision, 155-160, 2015 | 2 | 2015 |
| On-the-fly handwriting recognition using a high-level representation C Reinders, F Baumann, B Scheuermann, A Ehlers, N Mühlpforte, ... International Conference on Computer Analysis of Images and Patterns, 1-13, 2015 | 1 | 2015 |
| Sequential boosting for learning a random forest classifier F Baumann, A Ehlers, B Rosenhahn, W Liu 2015 IEEE Winter Conference on Applications of Computer Vision, 442-447, 2015 | 1 | 2015 |
| Exploiting object characteristics using custom features for boosting-based classification A Ehlers, F Baumann, B Rosenhahn Scandinavian Conference on Image Analysis, 420-431, 2013 | 1 | 2013 |
| Probabilistic nodes for modelling classification uncertainty for random forest F Baumann, K Vogt, A Ehlers, B Rosenhahn 2015 14th IAPR International Conference on Machine Vision Applications (MVA …, 2015 | | 2015 |
| Random Forests and Their Applications in Scene Understanding F Baumann VDI Verlag GmbH, 2015 | | 2015 |
| Multi-sensor Acceleration-Based Action Recognition F Baumann, I Schulz, B Rosenhahn International Conference Image Analysis and Recognition, 48-57, 2014 | | 2014 |
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
