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Johann Prankl
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2020 – today
- 2023
- [j6]Elias Eder, Peter Riegler-Nurscher, Johann Prankl, Heinrich Prankl:
Grassland Yield Estimation Using Transfer Learning from Remote Sensing Data. Künstliche Intell. 37(2): 187-194 (2023) - 2020
- [c24]Peter Riegler-Nurscher, Johann Prankl, Markus Hofinger, Markus Vincze:
Detektion eines Grünlandschwades mit Stereo-RGB Kamera. GIL Jahrestagung 2020: 265-270
2010 – 2019
- 2019
- [c23]Peter Riegler-Nurscher, Johann Prankl, Jürgen Karner:
Beurteilung der Schnittqualität von Schneid- und Mähwerken mittels photogrammetrischer Methode. GIL Jahrestagung 2019: 189-192 - [c22]Simon Schreiberhuber, Johann Prankl, Timothy Patten, Markus Vincze:
ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction. ICRA 2019: 140-146 - [c21]Kiru Park, Timothy Patten, Johann Prankl, Markus Vincze:
Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images. ICRA 2019: 7207-7213 - [c20]Peter Riegler-Nurscher, Johann Prankl, Markus Vincze:
Tillage Machine Control Based on a Vision System for Soil Roughness and Soil Cover Estimation. ICVS 2019: 201-210 - 2018
- [c19]Morris Antonello, Daniel Wolf, Johann Prankl, Stefano Ghidoni, Emanuele Menegatti, Markus Vincze:
Multi-View 3D Entangled Forest for Semantic Segmentation and Mapping. ICRA 2018: 1855-1862 - [c18]Georg Halmetschlager-Funek, Johann Prankl, Markus Vincze:
Towards Autonomous Auto Calibration of Unregistered RGB-D Setups: The Benefit of Plane Priors. IROS 2018: 5547-5554 - [i5]Sergey V. Alexandrov, Johann Prankl, Michael Zillich, Markus Vincze:
High Dynamic Range SLAM with Map-Aware Exposure Time Control. CoRR abs/1804.07427 (2018) - 2017
- [j5]Markus Vincze, Michael Zillich, Johann Prankl:
Roboter lernen mit Gegenständen umzugehen: neue Entwicklungen und Chancen. Elektrotech. Informationstechnik 134(6): 304-311 (2017) - [c17]Sergey V. Alexandrov, Johann Prankl, Michael Zillich, Markus Vincze:
High Dynamic Range SLAM with Map-Aware Exposure Time Control. 3DV 2017: 48-56 - [c16]Kiru Park, Johann Prankl, Markus Vincze:
Mutual Hypothesis Verification for 6D Pose Estimation of Natural Objects. ICCV Workshops 2017: 2192-2199 - [c15]Andreas Grünauer, Georg Halmetschlager-Funek, Johann Prankl, Markus Vincze:
Learning the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture Models. ICVS 2017: 576-589 - [c14]Andreas Grünauer, Georg Halmetschlager-Funek, Johann Prankl, Markus Vincze:
The Power of GMMs: Unsupervised Dirt Spot Detection for Industrial Floor Cleaning Robots. TAROS 2017: 436-449 - 2016
- [j4]Daniel Wolf, Johann Prankl, Markus Vincze:
Enhancing Semantic Segmentation for Robotics: The Power of 3-D Entangled Forests. IEEE Robotics Autom. Lett. 1(1): 49-56 (2016) - [c13]Thomas Faulhammer, Michael Zillich, Johann Prankl, Markus Vincze:
A multi-modal RGB-D object recognizer. ICPR 2016: 733-738 - [c12]Sergey V. Alexandrov, Johann Prankl, Michael Zillich, Markus Vincze:
Calibration and correction of vignetting effects with an application to 3D mapping. IROS 2016: 4217-4223 - 2015
- [j3]Thomas Mörwald, Johann Prankl, Michael Zillich, Markus Vincze:
Advances in real-time object tracking - Extensions for robust object tracking with a Monte Carlo particle filter. J. Real Time Image Process. 10(4): 683-697 (2015) - [c11]Daniel Wolf, Johann Prankl, Markus Vincze:
Fast semantic segmentation of 3D point clouds using a dense CRF with learned parameters. ICRA 2015: 4867-4873 - [c10]Johann Prankl, Aitor Aldoma, Alexander Svejda, Markus Vincze:
RGB-D object modelling for object recognition and tracking. IROS 2015: 96-103 - [i4]Aitor Aldoma, Johann Prankl, Alexander Svejda, Markus Vincze:
Object Modelling with a Handheld RGB-D Camera. CoRR abs/1505.05643 (2015) - [i3]Markus Bajones, Daniel Wolf, Johann Prankl, Markus Vincze:
Where to look first? Behaviour control for fetch-and-carry missions of service robots. CoRR abs/1510.01554 (2015) - 2014
- [j2]Andreas Richtsfeld, Thomas Mörwald, Johann Prankl, Michael Zillich, Markus Vincze:
Learning of perceptual grouping for object segmentation on RGB-D data. J. Vis. Commun. Image Represent. 25(1): 64-73 (2014) - [i2]Daniel Wolf, Markus Bajones, Johann Prankl, Markus Vincze:
Find my mug: Efficient object search with a mobile robot using semantic segmentation. CoRR abs/1404.5765 (2014) - 2013
- [j1]Johann Prankl, Michael Zillich, Markus Vincze:
Interactive object modelling based on piecewise planar surface patches. Comput. Vis. Image Underst. 117(6): 718-731 (2013) - [c9]Thomas Morwald, Andreas Richtsfeld, Johann Prankl, Michael Zillich, Markus Vincze:
Geometric data abstraction using B-splines for range image segmentation. ICRA 2013: 148-153 - [c8]Aitor Aldoma, Federico Tombari, Johann Prankl, Andreas Richtsfeld, Luigi Di Stefano, Markus Vincze:
Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation. ICRA 2013: 2104-2111 - [c7]Johann Prankl, Thomas Mörwald, Michael Zillich, Markus Vincze:
Probabilistic Cue Integration for Real-Time Object Pose Tracking. ICVS 2013: 254-263 - [i1]Markus Bader, Johann Prankl, Markus Vincze:
Visual Room-Awareness for Humanoid Robot Self-Localization. CoRR abs/1304.5878 (2013) - 2012
- [c6]Andreas Richtsfeld, Thomas Morwald, Johann Prankl, Michael Zillich, Markus Vincze:
Segmentation of unknown objects in indoor environments. IROS 2012: 4791-4796 - 2011
- [c5]Johann Prankl, Michael Zillich, Markus Vincze:
3D piecewise planar object model for robotics manipulation. ICRA 2011: 1784-1790 - [c4]Michael Zillich, Johann Prankl, Thomas Morwald, Markus Vincze:
Knowing your limits - self-evaluation and prediction in object recognition. IROS 2011: 813-820 - [c3]Thomas Morwald, Michael Zillich, Johann Prankl, Markus Vincze:
Self-monitoring to improve robustness of 3D object tracking for robotics. ROBIO 2011: 2830-2837 - 2010
- [c2]Johann Prankl, Michael Zillich, Bastian Leibe, Markus Vincze:
Incremental Model Selection for Detection and Tracking of Planar Surfaces. BMVC 2010: 1-12
2000 – 2009
- 2009
- [c1]Johann Prankl, Martin Antenreiter, Peter Auer, Markus Vincze:
Consistent Interpretation of Image Sequences to Improve Object Models on the Fly. ICVS 2009: 384-393
Coauthor Index
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