Eric Brachmann
Eric Brachmann
Research Associate, Heidelberg University
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
2842014
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
2112016
DSAC - Differentiable RANSAC for camera localization
E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 3, 2017
1502017
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
1242015
Learning less is more - 6D camera localization via 3D surface regression
E Brachmann, C Rother
Proc. CVPR 8, 2018
872018
Bop: Benchmark for 6d object pose estimation
T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ...
Proceedings of the European Conference on Computer Vision (ECCV), 19-34, 2018
702018
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
602017
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
412014
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
322017
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
iPose: instance-aware 6D pose estimation of partly occluded objects
OH Jafari, SK Mustikovela, K Pertsch, E Brachmann, C Rother
Asian Conference on Computer Vision, 477-492, 2018
23*2018
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
Neural-guided RANSAC: Learning where to sample model hypotheses
E Brachmann, C Rother
Proceedings of the IEEE International Conference on Computer Vision, 4322-4331, 2019
112019
Simplified authentication and authorization for RESTful services in trusted environments
E Brachmann, G Dittmann, KD Schubert
European Conference on Service-Oriented and Cloud Computing, 244-258, 2012
82012
Expert sample consensus applied to camera re-localization
E Brachmann, C Rother
Proceedings of the IEEE International Conference on Computer Vision, 7525-7534, 2019
52019
Feature propagation on image webs for enhanced image retrieval
E Brachmann, M Spehr, S Gumhold
Proceedings of the 3rd ACM conference on International conference on …, 2013
42013
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
A Bhowmik, S Gumhold, C Rother, E Brachmann
arXiv preprint arXiv:1912.00623, 2019
12019
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
E Brachmann, C Rother
arXiv preprint arXiv:2002.12324, 2020
2020
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
F Kluger, E Brachmann, H Ackermann, C Rother, MY Yang, B Rosenhahn
arXiv preprint arXiv:2001.02643, 2020
2020
Learning to Predict Dense Correspondences for 6D Pose Estimation
E Brachmann
2018
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Articles 1–20