Markus Oberweger

Markus Oberweger received his BSc and MSc Degree in Telematics (Information and Computer Engineering) from Graz University of Technology in 2012 and 2014, respectively, and his PhD Degree in Computer Science from Graz University of Technology in 2018. During his MSc he focused on Computer Vision, Smart Sensors, and Business Studies and Law. During his PhD he worked on Computer Vision and Machine Learning methods for 3D hand pose estimation. His research interests include Machine Learning methods for Computer Vision, specifically Deep Learning, and methods for 3D hand pose estimation, 3D object pose estimation and hand-object interaction.
He is currently a Research and Teaching Associate at the Institute of Computer Graphics and Vision at Graz University of Technology in the research group of Prof. Vincent Lepetit. He is involved in teaching as Teaching Associate for Computer Vision 1 & 2, Selected Topics Computer Vision, and Introduction to Scientific Working. Before he worked at the institute as Teaching Assistant for Computer Vision 1 & 2.
He served as a reviewer for many international conferences and journals, such as ApplSci, BMVC, CAVW, CVI, CVPR, CVWW, HANDS, ICRA, IROS, IVC, Neurocomputing, PG, R6D, RAL, Sensors, SIGGRAPH, TIP, TVCG, VR, WACV, and WSCG.

Publications

Generalized Feedback Loop for Joint Hand-Object Pose Estimation
Markus Oberweger, Paul Wohlhart, and Vincent Lepetit
Trans. on Pattern Analysis and Machine Intelligence, 2019
[paper] [project]

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images
Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, and Andrea Tagliasacchi
In Proc. Conf. on Computer and Robot Vision, 2019
[paper] [project]

Domain Transfer for 3D Pose Estimation from Color Images without Manual Annotations
Mahdi Rad, Markus Oberweger, and Vincent Lepetit
In Proc. Asian Conf. on Computer Vision, 2018
[paper]

Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation
Markus Oberweger, Mahdi Rad, and Vincent Lepetit
In Proc. European Conf. on Computer Vision, 2018
[paper] [project]

Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
Mahdi Rad, Markus Oberweger, and Vincent Lepetit
In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2018
[paper] [project]

Efficient Physics-Based Implementation for Realistic Hand-Object Interaction in Virtual Reality
Markus Höll, Markus Oberweger, Clemens Arth, and Vincent Lepetit
In Proc. IEEE Conf. on Virtual Reality and 3D User Interfaces, 2018
[paper] [project]

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
Markus Oberweger and Vincent Lepetit
In Proc. IEEE Int'l Conf. on Computer Vision Workshops, 2017
[paper] [project] [code]

Feedback Loop and Accurate Training Data for 3D Hand Pose Estimation
Markus Oberweger, Gernot Riegler, Paul Wohlhart, and Vincent Lepetit
In Proc. OAGM/ARW, 2017
[paper] [project]

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation
Markus Oberweger, Gernot Riegler, Paul Wohlhart, and Vincent Lepetit
In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2016
[paper] [project] [code]

Training a Feedback Loop for Hand Pose Estimation
Markus Oberweger, Paul Wohlhart, and Vincent Lepetit
In Proc. IEEE Int'l Conf. on Computer Vision, 2015
[paper] [project]

Hands Deep in Deep Learning for Hand Pose Estimation
Markus Oberweger, Paul Wohlhart, and Vincent Lepetit
In Proc. Computer Vision Winter Workshop, 2015
[paper] [project] [code]

Visual Recognition and Fault Detection for Power Line Insulators
Markus Oberweger, Andreas Wendel, and Horst Bischof
In Proc. Computer Vision Winter Workshop, 2014
[paper]

Contact
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Institut für Maschinelles Sehen und Darstellen
Inffeldgasse 16c/I
8010 Graz

Phone
+43 (316) 873 - 5068
Office hours
by arrangement