Martin Sundermeyer
Martin Sundermeyer
PhD Candidate, German Aerospace Center (DLR)
Dirección de correo verificada de dlr.de
Título
Citado por
Citado por
Año
Implicit 3d orientation learning for 6d object detection from rgb images
M Sundermeyer, ZC Marton, M Durner, M Brucker, R Triebel
Proceedings of the European Conference on Computer Vision (ECCV), 699-715, 2018
1602018
Augmented autoencoders: Implicit 3D orientation learning for 6D object detection
M Sundermeyer, ZC Marton, M Durner, R Triebel
International Journal of Computer Vision 128 (3), 714-729, 2020
62020
Learning Implicit Representations of 3D Object Orientations from RGB
M Sundermeyer, EY Puang, ZC Marton, M Durner, R Triebel
ICRA Workshop: Representing a Complex World, 2018
32018
Multi-path learning for object pose estimation across domains
M Sundermeyer, M Durner, EY Puang, ZC Marton, N Vaskevicius, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
22020
6DoF Pose Estimation for Industrial Manipulation based on Synthetic Data
M Brucker, M Durner, ZC Marton, F Bálint-Benczédi, M Sundermeyer, ...
International Symposium on Experimental Robotic (ISER), 2018
22018
BlenderProc
M Denninger, M Sundermeyer, D Winkelbauer, Y Zidan, D Olefir, ...
arXiv preprint arXiv:1911.01911, 2019
12019
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
W Boerdijk, M Sundermeyer, M Durner, R Triebel
arXiv preprint arXiv:2002.04487, 2020
2020
BlenderProc: Reducing the Reality Gap with Photorealistic Rendering
M Denninger, M Sundermeyer, D Winkelbauer, D Olefir, T Hodan, Y Zidan, ...
BOP Challenge 2019
T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ...
Results of the BOP Challenge 2019
T Hodaň, E Brachmann, B Drost, F Michel, M Sundermeyer, J Matas, ...
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–10