Texture synthesis with spatial generative adversarial networks N Jetchev, U Bergmann, R Vollgraf arXiv preprint arXiv:1611.08207, 2016 | 232 | 2016 |
The conditional analogy gan: Swapping fashion articles on people images N Jetchev, U Bergmann Proceedings of the IEEE international conference on computer vision …, 2017 | 191 | 2017 |
Learning texture manifolds with the periodic spatial GAN U Bergmann, N Jetchev, R Vollgraf arXiv preprint arXiv:1705.06566, 2017 | 187 | 2017 |
Fast motion planning from experience: trajectory prediction for speeding up movement generation N Jetchev, M Toussaint Autonomous Robots 34, 111-127, 2013 | 97 | 2013 |
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference M Toussaint, N Plath, T Lang, N Jetchev 2010 IEEE International Conference on Robotics and Automation, 385-391, 2010 | 72 | 2010 |
Trajectory prediction: learning to map situations to robot trajectories N Jetchev, M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009 | 64 | 2009 |
Generating high-resolution fashion model images wearing custom outfits G Yildirim, N Jetchev, R Vollgraf, U Bergmann Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 54 | 2019 |
Learning grounded relational symbols from continuous data for abstract reasoning N Jetchev, T Lang, M Toussaint Proceedings of the 2013 ICRA Workshop on Autonomous Learning, 2013 | 47 | 2013 |
Clipmatrix: Text-controlled creation of 3d textured meshes N Jetchev arXiv preprint arXiv:2109.12922, 2021 | 42 | 2021 |
Trajectory prediction in cluttered voxel environments N Jetchev, M Toussaint 2010 IEEE International Conference on Robotics and Automation, 2523-2528, 2010 | 42 | 2010 |
Task Space Retrieval Using Inverse Feedback Control. N Jetchev, M Toussaint ICML 2011, 22, 2011 | 30 | 2011 |
Optimization of fluent approach and grasp motions M Gienger, M Toussaint, N Jetchev, A Bendig, C Goerick Humanoids 2008-8th IEEE-RAS International Conference on Humanoid Robots, 111-117, 2008 | 28 | 2008 |
Optimizing motion primitives to make symbolic models more predictive A Orthey, M Toussaint, N Jetchev 2013 IEEE International Conference on Robotics and Automation, 2868-2873, 2013 | 12 | 2013 |
Hybrid genetic algorithm within branch-and-cut for the minimum graph bisection problem M Armbruster, M Fügenschuh, C Helmberg, N Jetchev, A Martin Evolutionary Computation in Combinatorial Optimization: 6th European …, 2006 | 10 | 2006 |
GANosaic: Mosaic creation with generative texture manifolds N Jetchev, U Bergmann, C Seward arXiv preprint arXiv:1712.00269, 2017 | 9 | 2017 |
Discovering relevant task spaces using inverse feedback control N Jetchev, M Toussaint Autonomous Robots 37, 169-189, 2014 | 7 | 2014 |
Texture synthesis with spatial generative adversarial networks (2016) N Jetchev, U Bergmann, R Vollgraf arXiv preprint arXiv:1611.08207, 0 | 7 | |
First order generative adversarial networks C Seward, T Unterthiner, U Bergmann, N Jetchev, S Hochreiter International Conference on Machine Learning, 4567-4576, 2018 | 6 | 2018 |
Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages N Jetchev, U Bergmann, G Yildirim arXiv preprint arXiv:1910.07236, 2019 | 5 | 2019 |
Kognitive Robotik—Herausforderungen an unser Verständnis natürlicher Umgebungen M Toussaint, T Lang, N Jetchev Oldenbourg Wissenschaftsverlag GmbH 61 (4), 259-268, 2013 | 5 | 2013 |