| Recognizing human actions using novel space-time volume binary patterns F Baumann, A Ehlers, B Rosenhahn, J Liao Neurocomputing 173, 54-63, 2016 | 49 | 2016 |
| Motion Binary Patterns for Action Recognition. F Baumann, J Lao, A Ehlers, B Rosenhahn, MY Yang ICPRAM, 385-392, 2014 | 23 | 2014 |
| 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 | 20 | 2015 |
| Action recognition with hog-of features F Baumann Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 20 | 2013 |
| Cascaded random forest for fast object detection F Baumann, A Ehlers, K Vogt, B Rosenhahn Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 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 | 16 | 2014 |
| 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 | 8 | 2011 |
| Symmetry Enhanced Adaboost. F Baumann, K Ernst, A Ehlers, B Rosenhahn ISVC (1), 286-295, 2010 | 8 | 2010 |
| Target position and speed estimation using lidar E Dayangac, F Baumann, J Aulinas, M Zobel Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016 | 7 | 2016 |
| Thresholding a Random Forest Classifier F Baumann, F Li, A Ehlers, B Rosenhahn | 5 | 2014 |
| Multi-Sensor Acceleration-based Action Recognition F Baumann, I Schulz, B Rosenhahn Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014 | 4 | 2014 |
| Device and method for producing a three-dimensional object with a fibre feeding device E Duffner, F Baumann US Patent 11,214,003, 2022 | 3 | 2022 |
| 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 | 3 | 2016 |
| Boosted fractal integral paths for object detection A Ehlers, F Baumann, B Rosenhahn Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | 3 | 2014 |
| PCA enhanced training data for adaboost A Ehlers, F Baumann, R Spindler, B Glasmacher, B Rosenhahn Computer Analysis of Images and Patterns: 14th International Conference …, 2011 | 3 | 2011 |
| 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 |
| 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 | 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 |
| On-the-fly handwriting recognition using a high-level representation C Reinders, F Baumann, B Scheuermann, A Ehlers, N Mühlpforte, ... Computer Analysis of Images and Patterns: 16th International Conference …, 2015 | 1 | 2015 |
| Exploiting object characteristics using custom features for boosting-based classification A Ehlers, F Baumann, B Rosenhahn Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013 | 1 | 2013 |
Bodo RosenhahnL3S Research Center / Leibniz Universität HannoverVerified email at tnt.uni-hannover.de
