Markus Oberweger

Orcid: 0000-0003-4247-2818

According to our database1, Markus Oberweger authored at least 13 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Generalized Feedback Loop for Joint Hand-Object Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

HOnnotate: A Method for 3D Annotation of Hand and Object Poses.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation.
CoRR, 2019

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018
Efficient Physics-Based Implementation for Realistic Hand-Object Interaction in Virtual Reality.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Domain Transfer for 3D Pose Estimation from Color Images Without Manual Annotations.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
HandSeg: A Dataset for Hand Segmentation from Depth Images.
CoRR, 2017

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Efficiently Creating 3D Training Data for Fine Hand Pose Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Hands Deep in Deep Learning for Hand Pose Estimation.
CoRR, 2015

Training a Feedback Loop for Hand Pose Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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