| Learning 6d object pose estimation using 3d object coordinates E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother European conference on computer vision, 536-551, 2014 | 406 | 2014 |
| Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image E Brachmann, F Michel, A Krull, MY Yang, S Gumhold Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 308 | 2016 |
| Dsac-differentiable ransac for camera localization E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 256 | 2017 |
| Dsac-differentiable ransac for camera localization E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 256 | 2017 |
| Noise2void-learning denoising from single noisy images A Krull, TO Buchholz, F Jug Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 183 | 2019 |
| Learning analysis-by-synthesis for 6D pose estimation in RGB-D images A Krull, E Brachmann, F Michel, MY Yang, S Gumhold, C Rother Proceedings of the IEEE international conference on computer vision, 954-962, 2015 | 144 | 2015 |
| Global hypothesis generation for 6D object pose estimation F Michel, A Kirillov, E Brachmann, A Krull, S Gumhold, B Savchynskyy, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 86 | 2017 |
| Dynein motion switches from diffusive to directed upon cortical anchoring V Ananthanarayanan, M Schattat, SK Vogel, A Krull, N Pavin, ... Cell 153 (7), 1526-1536, 2013 | 81 | 2013 |
| Pivoting of microtubules around the spindle pole accelerates kinetochore capture I Kalinina, A Nandi, P Delivani, MR Chacón, AH Klemm, ... Nature cell biology 15 (1), 82-87, 2013 | 68 | 2013 |
| Random forests versus Neural Networks—What's best for camera localization? D Massiceti, A Krull, E Brachmann, C Rother, PHS Torr 2017 IEEE International Conference on Robotics and Automation (ICRA), 5118-5125, 2017 | 55 | 2017 |
| 6-dof model based tracking via object coordinate regression A Krull, F Michel, E Brachmann, S Gumhold, S Ihrke, C Rother Asian Conference on Computer Vision, 384-399, 2014 | 51 | 2014 |
| Probabilistic noise2void: Unsupervised content-aware denoising A Krull, T Vičar, M Prakash, M Lalit, F Jug Frontiers in Computer Science 2, 5, 2020 | 36 | 2020 |
| Poseagent: Budget-constrained 6d object pose estimation via reinforcement learning A Krull, E Brachmann, S Nowozin, F Michel, J Shotton, C Rother Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 34 | 2017 |
| A divide and conquer strategy for the maximum likelihood localization of low intensity objects A Krull, A Steinborn, V Ananthanarayanan, D Ramunno-Johnson, ... Optics express 22 (1), 210-228, 2014 | 34 | 2014 |
| Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. F Michel, A Krull, E Brachmann, MY Yang, S Gumhold, C Rother BMVC, 181.1-181.11, 2015 | 27 | 2015 |
| ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy L Von Chamier, J Jukkala, C Spahn, M Lerche, S Hernández-Pérez, ... BioRxiv, 2020 | 23 | 2020 |
| Kinesin-8 motors improve nuclear centering by promoting microtubule catastrophe M Glunčić, N Maghelli, A Krull, V Krstić, D Ramunno-Johnson, N Pavin, ... Physical Review Letters 114 (7), 078103, 2015 | 21 | 2015 |
| Content-aware image restoration for electron microscopy TO Buchholz, A Krull, R Shahidi, G Pigino, G Jékely, F Jug Methods in cell biology 152, 277-289, 2019 | 15 | 2019 |
| Fully unsupervised probabilistic noise2void M Prakash, M Lalit, P Tomancak, A Krul, F Jug 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 154-158, 2020 | 11 | 2020 |
| Paired arrangement of kinetochores together with microtubule pivoting and dynamics drive kinetochore capture in meiosis I G Cojoc, AM Florescu, A Krull, AH Klemm, N Pavin, F Jülicher, IM Tolić Scientific reports 6 (1), 1-12, 2016 | 10 | 2016 |
