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Eric Brachmann
Eric Brachmann
Staff Scientist, Niantic
在 nianticlabs.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
5912014
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
4162016
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
3952017
Learning less is more - 6D camera localization via 3D surface regression
E Brachmann, C Rother
Proc. CVPR 8, 2018
2512018
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
2342018
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
1992015
Neural-guided RANSAC: Learning where to sample model hypotheses
E Brachmann, C Rother
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1412019
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
1092017
BOP challenge 2020 on 6D object localization
T Hodaň, M Sundermeyer, B Drost, Y Labbé, E Brachmann, F Michel, ...
European Conference on Computer Vision, 577-594, 2020
902020
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
702017
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
622014
ipose: instance-aware 6d pose estimation of partly occluded objects
O Hosseini Jafari, SK Mustikovela, K Pertsch, E Brachmann, C Rother
Asian Conference on Computer Vision, 477-492, 2018
58*2018
Expert sample consensus applied to camera re-localization
E Brachmann, C Rother
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
572019
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
432017
Visual camera re-localization from RGB and RGB-D images using DSAC
E Brachmann, C Rother
arXiv preprint arXiv:2002.12324, 2020
402020
Reinforced feature points: Optimizing feature detection and description for a high-level task
A Bhowmik, S Gumhold, C Rother, E Brachmann
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
372020
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
Consac: Robust multi-model fitting by conditional sample consensus
F Kluger, E Brachmann, H Ackermann, C Rother, MY Yang, B Rosenhahn
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
292020
Carsten Rother
E Brachmann, P Kohli, A Blake, S Nowozin
Pattern Recognition, 2021
182021
Global hypothesis generation for 6d object pose estimation
F Michel, A Kirillov, E Brachmann, A Krull, S Gumhold, B Savchynskyy, ...
arXiv preprint arXiv:1612.02287, 2016
142016
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