M. Zillich

发表

BLORT-The Blocks World Robotic Vision Toolbox

M. Vincze, J. Prankl, A. Richtsfeld, 2010 .

Pose Estimation of Similar Shape Objects using Convolutional Neural Network trained by Synthetic data

M. Vincze, J. Prankl, M. Zillich, 2017 .

Grasping unknown objects based on 2½D range data

Michael Zillich, Mario Richtsfeld, Mario Richtsfeld, 2008, 2008 IEEE International Conference on Automation Science and Engineering.

A basic cognitive system for interactive continuous learning of visual concepts

A. Leonardis, G. Kruijff, M. Zillich, 2010 .

Calculation of Attention Points Using 3D Cues

M. Vincze, M. Zillich, E. Potapova, 2012 .

Selection for Interactive Object Segmentation in Clutter

M. Vincze, M. Zillich, T. Patten, 2019 .

A system approach to interactive learning of visual concepts

A. Leonardis, G. Kruijff, M. Zillich, 2010 .

Advances in real-time object tracking - Extensions for robust object tracking with a Monte Carlo particle filter

Markus Vincze, Johann Prankl, Michael Zillich, 2015, J. Real Time Image Process..

Enabling robust robotics through human-robot behaviour coordination

M. Vincze, M. Zillich, Markus Bajones, 2015 .

A Novel Approach for Attention Points Extraction from Saliency Maps based on T-Junctions

M. Vincze, M. Zillich, E. Potapova, 2014 .

Object Detection for Robotic Applications Using Perceptual Organization in 3D

M. Vincze, A. Richtsfeld, M. Zillich, 2015, KI - Künstliche Intelligenz.

Advances in real-time object tracking

Markus Vincze, Johann Prankl, Michael Zillich, 2013, Journal of Real-Time Image Processing.

Probabilistic Cue Integration for Real-Time Object Pose Tracking

Markus Vincze, Johann Prankl, Michael Zillich, 2013, ICVS.

Self-monitoring to improve robustness of 3D object tracking for robotics

Markus Vincze, Johann Prankl, Michael Zillich, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

Survey of recent advances in 3D visual attention for robotics

Markus Vincze, Michael Zillich, Ekaterina Potapova, 2017, Int. J. Robotics Res..

Contextual Coordination in a Cognitive Vision System for Symbolic Activity Interpretation

Wolfgang Ponweiser, Markus Vincze, Michael Zillich, 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).

On-the-fly detection of novel objects in indoor environments

Markus Vincze, Daniele Magazzeni, Michael Cashmore, 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Multi-model fitting using Particle Swarm Optimization for 3D perception in robot vision

Markus Vincze, Danijel Skocaj, Michael Zillich, 2010, 2010 IEEE International Conference on Robotics and Biomimetics.

Measuring Scene Complexity to Adapt Feature Selection of Model-Based Object Tracking

M. Vincze, M. Zillich, M. Ayromlou, 2003, ICVS.

A system to navigate a robot into a ship structure

Wolfgang Ponweiser, Markus Vincze, Ole Madsen, 2001, Machine Vision and Applications.

Self-Understanding and Self-Extension: A Systems and Representational Approach

Pierre Lison, Marc Hanheide, Danijel Skocaj, 2010, IEEE Transactions on Autonomous Mental Development.

Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds

Markus Vincze, Michael Zillich, Ekaterina Potapova, 2012, ACCV.

Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking

Wolfgang Ponweiser, Markus Vincze, Michael Zillich, 2001, Int. J. Robotics Res..

Anytime Perceptual Grouping of 2D Features into 3D Basic Shapes

Markus Vincze, Michael Zillich, Andreas Richtsfeld, 2013, ICVS.

Saliency-based object discovery on RGB-D data with a late-fusion approach

Markus Vincze, Simone Frintrop, Michael Zillich, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Segmentation of unknown objects in indoor environments

Markus Vincze, Johann Prankl, Michael Zillich, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Geometric data abstraction using B-splines for range image segmentation

Markus Vincze, Johann Prankl, Michael Zillich, 2013, 2013 IEEE International Conference on Robotics and Automation.

The STRANDS Project: Long-Term Autonomy in Everyday Environments

Lucas Beyer, Markus Vincze, Marc Hanheide, 2016, IEEE Robotics Autom. Mag..

Effect of Active and Passive Protective Soft Skins on Collision Forces in Human-robot Collaboration

M. Zillich, M. Hoffmann, M. Šrámek, 2022, Robotics Comput. Integr. Manuf..

An integrated system for interactive continuous learning of categorical knowledge

Marc Hanheide, Danijel Skocaj, Matej Kristan, 2016, J. Exp. Theor. Artif. Intell..

A system for interactive learning in dialogue with a tutor

Marc Hanheide, Danijel Skocaj, Matej Kristan, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

What Vision Can, Can’t and Should Do

Michael Zillich, M. Zillich, 2014 .

Advances in real-time object tracking

M. Vincze, J. Prankl, T. Mörwald, 2013, Journal of Real-Time Image Processing.

Knowing your limits - self-evaluation and prediction in object recognition

Markus Vincze, Johann Prankl, Michael Zillich, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Predicting the unobservable Visual 3D tracking with a probabilistic motion model

Markus Vincze, Rustam Stolkin, Michael Zillich, 2011, 2011 IEEE International Conference on Robotics and Automation.

Autonomous Learning of Object Models on a Mobile Robot

Markus Vincze, Rares Ambrus, John Folkesson, 2017, IEEE Robotics and Automation Letters.

What We Can Learn From the Primate’s Visual System

Norbert Krüger, Anders Glent Buch, Peter Janssen, 2015, KI - Künstliche Intelligenz.

A versatile tactile sensor system for covering large and curved surface areas

Wendelin Feiten, Michael Zillich, M. Zillich, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multi-label Point Cloud Annotation by Selection of Sparse Control Points

Markus Vincze, Jacopo Aleotti, Michael Zillich, 2017, 2017 International Conference on 3D Vision (3DV).

Incremental attention-driven object segmentation

Markus Vincze, Michael Zillich, Ekaterina Potapova, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Attention-driven segmentation of cluttered 3D scenes

Markus Vincze, Michael Zillich, Ekaterina Potapova, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Functional Object Class Detection Based on Learned Affordance Cues

Bernt Schiele, Michael Stark, Michael Zillich, 2008, ICVS.

Learning of perceptual grouping for object segmentation on RGB-D data

Markus Vincze, Johann Prankl, Michael Zillich, 2014, J. Vis. Commun. Image Represent..

Viewpoint Evaluation for Online 3-D Active Object Classification

Markus Vincze, Robert Fitch, Salah Sukkarieh, 2016, IEEE Robotics and Automation Letters.

Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues

Matthias Scheutz, Michael Zillich, Evan A. Krause, 2014, AAAI.

BALT & CAST: Middleware for Cognitive Robotics

Nick Hawes, Michael Zillich, Jeremy L. Wyatt, 2007, RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication.

Effect of Active and Passive Protective Soft Skins on Collision Forces in Human-robot Collaboration

M. Zillich, M. Hoffmann, M. Šrámek, 2022, Robotics Comput. Integr. Manuf..

A multi-modal RGB-D object recognizer

Markus Vincze, Johann Prankl, Thomas Faulhammer, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).