Consistent Interpretation of Image Sequences to Improve Object Models on the Fly. - Johann Prankl; Martin Antenreiter; Peter Auer; Markus Vincze (ICVS, 2009)

Incremental Model Selection for Detection and Tracking of Planar Surfaces. - Johann Prankl; Michael Zillich; Bastian Leibe; Markus Vincze (BMVC, 2010)

3D piecewise planar object model for robotics manipulation. - Johann Prankl; Michael Zillich; Markus Vincze (ICRA, 2011)

Knowing your limits - self-evaluation and prediction in object recognition. - Michael Zillich; Johann Prankl; Thomas Morwald; Markus Vincze (IROS, 2011)

Self-monitoring to improve robustness of 3D object tracking for robotics. - Thomas Morwald; Michael Zillich; Johann Prankl; Markus Vincze (ROBIO, 2011)

Segmentation of unknown objects in indoor environments. - Andreas Richtsfeld; Thomas Morwald; Johann Prankl; Michael Zillich; Markus Vincze (IROS, 2012)

Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation. - Aitor Aldoma; Federico Tombari; Johann Prankl; Andreas Richtsfeld; Luigi Di Stefano; Markus Vincze (ICRA, 2013)

Geometric data abstraction using B-splines for range image segmentation. - Thomas Morwald; Andreas Richtsfeld; Johann Prankl; Michael Zillich; Markus Vincze (ICRA, 2013)

Probabilistic Cue Integration for Real-Time Object Pose Tracking. - Johann Prankl; Thomas Mörwald; Michael Zillich; Markus Vincze (ICVS, 2013)

Visual Room-Awareness for Humanoid Robot Self-Localization - Markus Bader; Johann Prankl; Markus Vincze (CoRR, 2013)

Interactive object modelling based on piecewise planar surface patches. - Johann Prankl; Michael Zillich; Markus Vincze (Comput. Vis. Image Underst., 2013)

Find my mug: Efficient object search with a mobile robot using semantic segmentation. - Daniel Wolf; Markus Bajones; Johann Prankl; Markus Vincze (CoRR, 2014)

Learning of perceptual grouping for object segmentation on RGB-D data. - Andreas Richtsfeld; Thomas Mörwald; Johann Prankl; Michael Zillich; Markus Vincze (J. Vis. Commun. Image Represent., 2014)

Fast semantic segmentation of 3D point clouds using a dense CRF with learned parameters. - Daniel Wolf; Johann Prankl; Markus Vincze (ICRA, 2015)

RGB-D object modelling for object recognition and tracking. - Johann Prankl; Aitor Aldoma; Alexander Svejda; Markus Vincze (IROS, 2015)

Object Modelling with a Handheld RGB-D Camera. - Aitor Aldoma; Johann Prankl; Alexander Svejda; Markus Vincze (CoRR, 2015)

Where to look first? Behaviour control for fetch-and-carry missions of service robots. - Markus Bajones; Daniel Wolf; Johann Prankl; Markus Vincze (CoRR, 2015)

Advances in real-time object tracking - Extensions for robust object tracking with a Monte Carlo particle filter. - Thomas Mörwald; Johann Prankl; Michael Zillich; Markus Vincze (J. Real Time Image Process., 2015)

A multi-modal RGB-D object recognizer. - Thomas Faulhammer; Michael Zillich; Johann Prankl; Markus Vincze (ICPR, 2016)

Calibration and correction of vignetting effects with an application to 3D mapping. - Sergey V. Alexandrov; Johann Prankl; Michael Zillich; Markus Vincze (IROS, 2016)

Enhancing Semantic Segmentation for Robotics: The Power of 3-D Entangled Forests. - Daniel Wolf; Johann Prankl; Markus Vincze (IEEE Robotics Autom. Lett., 2016)

High Dynamic Range SLAM with Map-Aware Exposure Time Control. - Sergey V. Alexandrov; Johann Prankl; Michael Zillich; Markus Vincze (3DV, 2017)

Mutual Hypothesis Verification for 6D Pose Estimation of Natural Objects. - Kiru Park; Johann Prankl; Markus Vincze (ICCV Workshops, 2017)

Learning the Floor Type for Automated Detection of Dirt Spots for Robotic Floor Cleaning Using Gaussian Mixture Models. - Andreas Grünauer; Georg Halmetschlager-Funek; Johann Prankl; Markus Vincze (ICVS, 2017)

The Power of GMMs: Unsupervised Dirt Spot Detection for Industrial Floor Cleaning Robots. - Andreas Grünauer; Georg Halmetschlager-Funek; Johann Prankl; Markus Vincze (TAROS, 2017)

Roboter lernen mit Gegenständen umzugehen: neue Entwicklungen und Chancen. - Markus Vincze; Michael Zillich; Johann Prankl (Elektrotech. Informationstechnik, 2017)

Multi-View 3D Entangled Forest for Semantic Segmentation and Mapping. - Morris Antonello; Daniel Wolf; Johann Prankl; Stefano Ghidoni; Emanuele Menegatti; Markus Vincze (ICRA, 2018)

Towards Autonomous Auto Calibration of Unregistered RGB-D Setups: The Benefit of Plane Priors. - Georg Halmetschlager-Funek; Johann Prankl; Markus Vincze (IROS, 2018)

Beurteilung der Schnittqualität von Schneid- und Mähwerken mittels photogrammetrischer Methode. - Peter Riegler-Nurscher; Johann Prankl; Jürgen Karner (GIL Jahrestagung, 2019)

Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images. - Kiru Park; Timothy Patten; Johann Prankl; Markus Vincze (ICRA, 2019)

ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction. - Simon Schreiberhuber; Johann Prankl; Timothy Patten; Markus Vincze (ICRA, 2019)

Tillage Machine Control Based on a Vision System for Soil Roughness and Soil Cover Estimation. - Peter Riegler-Nurscher; Johann Prankl; Markus Vincze (ICVS, 2019)

Detektion eines Grünlandschwades mit Stereo-RGB Kamera. - Peter Riegler-Nurscher; Johann Prankl; Markus Hofinger; Markus Vincze (GIL Jahrestagung, 2020)

Grassland Yield Estimation Using Transfer Learning from Remote Sensing Data. - Elias Eder; Peter Riegler-Nurscher; Johann Prankl; Heinrich Prankl (Künstliche Intell., 2023)