Publications
U
Brachmann, E, Michel, F, Krull, A, Yang, M Ying, Gumhold, S and Rother, C (2016).
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
2016-Decem 3364–3372
Brachmann, E, Michel, F, Krull, A, Yang, M Ying, Gumhold, S and Rother, C (2016).
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
2016-Decem 3364–3372
P
Michel, F, Krull, A, Brachmann, E, Yang, M Ying, Gumhold, S and Rother, C (2015).
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. 181.1–181.11
L
Krull, A, Brachmann, E, Michel, F, Yang, M Ying, Gumhold, S and Rother, C (2015).
Learning analysis-by-synthesis for 6d pose estimation in RGB-D images.
Proceedings of the IEEE International Conference on Computer Vision.
2015 Inter 954–962
C
Kluger, F, Brachmann, E, Ackermann, H, Rother, C, Yang, M Ying and Rosenhahn, B (2020).
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus.
CVPR 2020.
http://arxiv.org/abs/2001.02643
PDF (9.95 MB) Mustikovela, S Karthik, Yang, M Ying and Rother, C (2016).
Can ground truth label propagation from video help semantic segmentation?.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
9915 LNCS 804–820
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