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Alexander Krull
Alexander Krull
MPI-CBG/PKS in Dresden
Verified email at tu-dresden.de - Homepage
Title
Cited by
Cited by
Year
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
5752014
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
4342019
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
4082016
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
3802017
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
3802017
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
1882015
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
1162017
Democratising deep learning for microscopy with ZeroCostDL4Mic
L von Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ...
Nature communications 12 (1), 1-18, 2021
932021
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
872013
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
792013
Probabilistic noise2void: Unsupervised content-aware denoising
A Krull, T Vičar, M Prakash, M Lalit, F Jug
Frontiers in Computer Science 2, 5, 2020
732020
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
712017
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
612014
Artificial-intelligence-driven scanning probe microscopy
A Krull, P Hirsch, C Rother, A Schiffrin, C Krull
Communications Physics 3 (1), 1-8, 2020
442020
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
442017
ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy
L Von Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ...
BioRxiv, 2020
422020
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
362015
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
362014
DenoiSeg: Joint Denoising and Segmentation
TO Buchholz, M Prakash, D Schmidt, A Krull, F Jug
European Conference on Computer Vision, 324-337, 2020
262020
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
262019
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Articles 1–20