| Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos V Casser, S Pirk, R Mahjourian, A Angelova Proceedings of the AAAI conference on artificial intelligence 33 (01), 8001-8008, 2019 | 426 | 2019 |
| Fpnn: Field probing neural networks for 3d data Y Li, S Pirk, H Su, CR Qi, LJ Guibas NIPS'16: Proceedings of the 30th International Conference on Neural …, 2016 | 305 | 2016 |
| Inverse procedural modelling of trees O Stava, S Pirk, J Kratt, B Chen, R Měch, O Deussen, B Benes Computer Graphics Forum 33 (6), 118-131, 2014 | 159 | 2014 |
| Plastic trees: interactive self-adapting botanical tree models S Pirk, O Stava, J Kratt, MAM Said, B Neubert, R Měch, B Benes, ... ACM Transactions on Graphics (TOG) 31 (4), 1-10, 2012 | 139 | 2012 |
| Texture-lobes for tree modelling Y Livny, S Pirk, Z Cheng, F Yan, O Deussen, D Cohen-Or, B Chen ACM Transactions on Graphics (TOG) 30 (4), 1-10, 2011 | 136 | 2011 |
| Unsupervised monocular depth and ego-motion learning with structure and semantics V Casser, S Pirk, R Mahjourian, A Angelova Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 77 | 2019 |
| Feedback-guided stroke placement for a painting machine O Deussen, T Lindemeier, S Pirk, M Tautzenberger Proceedings of the Eighth Annual Symposium on Computational Aesthetics in …, 2012 | 64 | 2012 |
| Windy trees: Computing stress response for developmental tree models S Pirk, T Niese, T Hädrich, B Benes, O Deussen ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014 | 62 | 2014 |
| Language-driven synthesis of 3D scenes from scene databases R Ma, AG Patil, M Fisher, M Li, S Pirk, BS Hua, SK Yeung, X Tong, ... ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018 | 56 | 2018 |
| Image stylization with a painting machine using semantic hints T Lindemeier, S Pirk, O Deussen Computers & Graphics 37 (5), 293-301, 2013 | 47 | 2013 |
| Capturing and animating the morphogenesis of polygonal tree models S Pirk, T Niese, O Deussen, B Neubert ACM Transactions on Graphics (TOG) 31 (6), 1-10, 2012 | 45 | 2012 |
| Synthetic silviculture: multi-scale modeling of plant ecosystems M Makowski, T Hädrich, J Scheffczyk, DL Michels, S Pirk, W Pałubicki ACM Transactions on Graphics (TOG) 38 (4), 1-14, 2019 | 43 | 2019 |
| Understanding and exploiting object interaction landscapes S Pirk, V Krs, K Hu, SD Rajasekaran, H Kang, Y Yoshiyasu, B Benes, ... ACM Transactions on Graphics (TOG) 36 (3), 1-14, 2017 | 43 | 2017 |
| Online object representations with contrastive learning S Pirk, M Khansari, Y Bai, C Lynch, P Sermanet arXiv preprint arXiv:1906.04312, 2019 | 36* | 2019 |
| Parsing geometry using structure-aware shape templates V Ganapathi-Subramanian, O Diamanti, S Pirk, C Tang, M Niessner, ... 2018 International Conference on 3D Vision (3DV), 672-681, 2018 | 28 | 2018 |
| Interactive modeling and authoring of climbing plants T Hädrich, B Benes, O Deussen, S Pirk Computer Graphics Forum 36 (2), 49-61, 2017 | 28 | 2017 |
| Data-efficient learning for sim-to-real robotic grasping using deep point cloud prediction networks X Yan, M Khansari, J Hsu, Y Gong, Y Bai, S Pirk, H Lee arXiv preprint arXiv:1906.08989, 2019 | 25 | 2019 |
| Interactive wood combustion for botanical tree models S Pirk, M Jarząbek, T Hädrich, DL Michels, W Palubicki ACM Transactions on Graphics (TOG) 36 (6), 1-12, 2017 | 24 | 2017 |
| Unsupervised learning of depth and ego-motion: A structured approach V Casser, S Pirk, R Mahjourian, A Angelova Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 2, 7, 2019 | 23 | 2019 |
| Improved model‐and view‐dependent pruning of large botanical scenes B Neubert, S Pirk, O Deussen, C Dachsbacher Computer Graphics Forum 30 (6), 1708-1718, 2011 | 23 | 2011 |
Oliver DeussenProfessor of Computer Science, University of Konstanz Потвърден имейл адрес: uni-konstanz.de
