Alexander Krull
Alexander Krull
MPI-CBG/PKS in Dresden
Verified email at tu-dresden.de - Homepage
TitleCited byYear
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
2742014
Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
E Brachmann, F Michel, A Krull, M Ying Yang, S Gumhold
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1982016
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
1412017
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
1412017
Learning analysis-by-synthesis for 6D pose estimation in RGB-D images
A Krull, E Brachmann, F Michel, M Ying Yang, S Gumhold, C Rother
Proceedings of the IEEE international conference on computer vision, 954-962, 2015
1182015
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
732013
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
622013
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
572017
Noise2void-learning denoising from single noisy images
A Krull, TO Buchholz, F Jug
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
402019
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
402014
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
312014
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
302017
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
282017
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
202015
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
182015
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, 25736, 2016
82016
Probabilistic Noise2Void: Unsupervised content-aware denoising
A Krull, T Vicar, F Jug
arXiv preprint arXiv:1906.00651, 2019
62019
Content-aware image restoration for electron microscopy
TO Buchholz, A Krull, R Shahidi, G Pigino, G Jékely, F Jug
Methods Cell Biol 152, 277-289, 2019
42019
Fully Unsupervised Probabilistic Noise2Void
M Prakash, M Lalit, P Tomancak, A Krull, F Jug
arXiv preprint arXiv:1911.12291, 2019
2019
Leveraging Self-supervised Denoising for Image Segmentation
M Prakash, TO Buchholz, M Lalit, P Tomancak, F Jug, A Krull
arXiv preprint arXiv:1911.12239, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20