| RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features M Schwarz, H Schulz, S Behnke 2015 IEEE international conference on robotics and automation (ICRA), 1329-1335, 2015 | 429 | 2015 |
| Towards deep conversational recommendations R Li, S Ebrahimi Kahou, H Schulz, V Michalski, L Charlin, C Pal Advances in neural information processing systems 31, 2018 | 397 | 2018 |
| Frames: a corpus for adding memory to goal-oriented dialogue systems LE Asri, H Schulz, S Sharma, J Zumer, J Harris, E Fine, R Mehrotra, ... arXiv preprint arXiv:1704.00057, 2017 | 308 | 2017 |
| Ropinirole is effective in the treatment of restless legs syndrome. TREAT RLS 2: a 12‐week, double‐blind, randomized, parallel‐group, placebo‐controlled study AS Walters, WG Ondo, T Dreykluft, R Grunstein, D Lee, K Sethi, ... Movement Disorders 19 (12), 1414-1423, 2004 | 267 | 2004 |
| Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation S Sharma arXiv preprint arXiv:1706.09799, 2017 | 253* | 2017 |
| Deep learning: Layer-wise learning of feature hierarchies H Schulz, S Behnke KI-Künstliche Intelligenz 26, 357-363, 2012 | 126 | 2012 |
| Policy networks with two-stage training for dialogue systems M Fatemi, LE Asri, H Schulz, J He, K Suleman arXiv preprint arXiv:1606.03152, 2016 | 111 | 2016 |
| Dense real-time mapping of object-class semantics from RGB-D video J Stückler, B Waldvogel, H Schulz, S Behnke Journal of real-time image processing 10, 599-609, 2015 | 102 | 2015 |
| Accelerating large-scale convolutional neural networks with parallel graphics multiprocessors D Scherer, H Schulz, S Behnke Artificial Neural Networks–ICANN 2010: 20th International Conference …, 2010 | 96 | 2010 |
| Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction A El-Nouby, S Sharma, H Schulz, D Hjelm, LE Asri, SE Kahou, Y Bengio, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 82 | 2019 |
| Fast semantic segmentation of RGB-D scenes with GPU-accelerated deep neural networks N Höft, H Schulz, S Behnke KI 2014: Advances in Artificial Intelligence: 37th Annual German Conference …, 2014 | 82 | 2014 |
| Plant root system analysis from MRI images H Schulz, JA Postma, D van Dusschoten, H Scharr, S Behnke Computer Vision, Imaging and Computer Graphics. Theory and Application: 7th …, 2013 | 77 | 2013 |
| The eighth dialog system technology challenge S Kim, M Galley, C Gunasekara, S Lee, A Atkinson, B Peng, H Schulz, ... arXiv preprint arXiv:1911.06394, 2019 | 73 | 2019 |
| In situ root system architecture extraction from magnetic resonance imaging for water uptake modeling L Stingaciu, H Schulz, A Pohlmeier, S Behnke, H Zilken, M Javaux, ... Vadose zone journal 12 (1), vzj2012. 0019, 2013 | 68 | 2013 |
| Learning Object-Class Segmentation with Convolutional Neural Networks. H Schulz, S Behnke ESANN, 151-156, 2012 | 67 | 2012 |
| Investigating convergence of restricted boltzmann machine learning H Schulz, A Müller, S Behnke NIPS 2010 workshop on deep learning and unsupervised feature learning 1 (2), 6.1, 2010 | 63 | 2010 |
| The KnowRef coreference corpus: Removing gender and number cues for difficult pronominal anaphora resolution A Emami, P Trichelair, A Trischler, K Suleman, H Schulz, JCK Cheung arXiv preprint arXiv:1811.01747, 2018 | 62 | 2018 |
| Combining semantic and geometric features for object class segmentation of indoor scenes F Husain, H Schulz, B Dellen, C Torras, S Behnke IEEE Robotics and Automation Letters 2 (1), 49-55, 2016 | 59 | 2016 |
| Real time interaction with mobile robots using hand gestures KR Konda, A Königs, H Schulz, D Schulz Proceedings of the seventh annual ACM/IEEE international conference on Human …, 2012 | 44 | 2012 |
| Utilizing the structure of field lines for efficient soccer robot localization H Schulz, S Behnke Advanced Robotics 26 (14), 1603-1621, 2012 | 37 | 2012 |
Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnVerified email at cs.uni-bonn.de
