Markus Oberweger

Graz University of Technology — Austria

Computer Science · Physical Sciences

11h-index1.3kcitations24works0.02yr avg
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Research Topics

Human Pose and Action Recognition(21), Robot Manipulation and Learning(19), Hand Gesture Recognition Systems(14), Domain Adaptation and Few-Shot Learning(5), Robotics and Sensor-Based Localization(3)

Publications24 total

HOnnotate: A Method for 3D Annotation of Hand and Object Poses
2020· 23 citedOpen Access
3D Pose Estimation from Color Images without Manual Annotations
TUGraz OPEN Library (Graz University of Technology)·2020Open Access
Feedback Loop and Accurate Training Data for 3D Hand Pose Estimation
TUGraz OPEN Library (Graz University of Technology)·2020Open Access
Honnotate: A method for 3D annotation of hand and object pose
HAL (Le Centre pour la Communication Scientifique Directe)·2020Open Access
HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation.
arXiv (Cornell University)·2019· 18 citedOpen Access
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images
2019· 3 citedOpen Access
Generalized Feedback Loop for Joint Hand-Object Pose Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2019· 2 citedOpen Access
Domain Transfer for 3D Pose Estimation from Color Images Without Manual Annotations
Lecture notes in computer science·2019· 6 cited
Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations
arXiv (Cornell University)·2018Open Access
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
2018· 9 cited
Efficient Physics-Based Implementation for Realistic Hand-Object Interaction in Virtual Reality
2018· 100 cited
Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations
arXiv (Cornell University)·2018· 51 citedOpen Access
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
Lecture notes in computer science·2018· 267 citedOpen Access
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
HAL (Le Centre pour la Communication Scientifique Directe)·2018· 1 citedOpen Access
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
HAL (Le Centre pour la Communication Scientifique Directe)·2018· 137 citedOpen Access
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
arXiv (Cornell University)·2017· 1 citedOpen Access
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from\n Depth Images
arXiv (Cornell University)·2017Open Access
HandSeg: A Dataset for Hand Segmentation from Depth Images.
arXiv (Cornell University)·2017· 3 citedOpen Access
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
2017· 19 citedOpen Access
Training a Feedback Loop for Hand Pose Estimation
arXiv (Cornell University)·2016· 15 citedOpen Access
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Frequent Co-authors

Vincent Lepetit(23), Mahdi Rad(12), Paul Wohlhart(6), Shreyas Hampali(3), Abhishake Kumar Bojja(3), Franziska Mueller(3), Sri Raghu Malireddi(3), Christian Theobalt(3), Andrea Tagliasacchi(3), Gernot Riegler(2), Kwang Moo Yi(2), Markus Höll(1), Clemens Arth(1), Andreas Wendel(1), Horst Bischof(1)