Zoltan-Csaba Marton

发表

Autonomous semantic mapping for robots performing everyday manipulation tasks in kitchen environments

Nico Blodow, Lucian Cosmin Goron, Zoltan-Csaba Marton, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Intelligent Robotic Perception Systems

Zoltan-Csaba Marton, Cristiano Premebida, Rares Ambrus, 2018, Applications of Mobile Robots.

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Zoltan-Csaba Marton, Martin Sundermeyer, Maximilian Durner, 2018, ECCV.

Depth-based tracking with physical constraints for robot manipulation

Zoltan-Csaba Marton, Dieter Fox, Katharina Hertkorn, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Efficient Part-Graph Hashes for Object Categorization

Zoltan-Csaba Marton, Michael Beetz, Ferenc Balint-Benczedi, 2012 .

Hierarchical object geometric categorization and appearance classification for mobile manipulation

Zoltan-Csaba Marton, Dejan Pangercic, Michael Beetz, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection

Zoltan-Csaba Marton, Martin Sundermeyer, Maximilian Durner, 2019, International Journal of Computer Vision.

Material Classification through Knocking and Grasping by Learning of Structure-Borne Sound under Changing Acoustic Conditions

Zoltan-Csaba Marton, Michael Neumann, Korbinian Nottensteiner, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Object Categorization in Clutter Using Additive Features and Hashing of Part-Graph Descriptors

Lucian Cosmin Goron, Zoltan-Csaba Marton, Michael Beetz, 2012, Spatial Cognition.

Viewing Direction Classification: Application to View Planning

Zoltan-Csaba Marton, Simon Kriegel, Sebastian Riedel, 2016, ICRA 2016.

Selecting CNN features for online learning of 3D objects

Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

On fast surface reconstruction methods for large and noisy point clouds

Zoltan-Csaba Marton, Michael Beetz, Radu Bogdan Rusu, 2009, 2009 IEEE International Conference on Robotics and Automation.

Persistent Point Feature Histograms for 3D Point Clouds

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008 .

Applicability of Deep Learned vs Traditional Features for Depth Based Classification

Zoltan-Csaba Marton, Fabio Bracci, Mo Li, 2018, CompIMAGE.

Inferring Generalized Pick-and-Place Tasks from Pointing Gestures

Nico Blodow, Zoltan-Csaba Marton, Dejan Pangercic, 2011, ICRA 2011.

Probabilistic categorization of kitchen objects in table settings with a composite sensor

Zoltan-Csaba Marton, Michael Beetz, Radu Bogdan Rusu, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

RoboSherlock: Unstructured Information Processing Framework for Robotic Perception

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2015 .

Sample consensus fitting of bivariate polynomials for initializing EM-based modeling of smooth 3D surfaces

Zoltan-Csaba Marton, Michael Suppa, Christian Nissler, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Robot-to-Camera Calibration: A Generic Approach Using 6D Detections

Zoltan-Csaba Marton, Christian Nissler, 2017, 2017 First IEEE International Conference on Robotic Computing (IRC).

Aligning point cloud views using persistent feature histograms

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Evaluation and improvement of global pose estimation with multiple AprilTags for industrial manipulators

Zoltan-Csaba Marton, Ulrike Thomas, Christian Nissler, 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).

Active classifier selection for RGB-D object categorization using a Markov random field ensemble method

Zoltan-Csaba Marton, Maximilian Durner, Martin Kleinsteuber, 2017, International Conference on Machine Vision.

Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes

Nico Blodow, Lucian Cosmin Goron, Zoltan-Csaba Marton, 2014, J. Intell. Robotic Syst..

Interpretation of Urban Scenes based on Geometric Features

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008 .

Robustly Segmenting Cylindrical and Box-like Objects in Cluttered Scenes using Depth Cameras

Lucian Cosmin Goron, Zoltan-Csaba Marton, Michael Beetz, 2012, ROBOTIK.

Towards Autonomous Planetary Exploration

Zoltan-Csaba Marton, Werner Friedl, Michael Suppa, 2019 .

Making Sense of 3D Data

Nico Blodow, Zoltan-Csaba Marton, Dejan Pangercic, 2010, RSS 2010.

Tracking-based interactive segmentation of textureless objects

Zoltan-Csaba Marton, Dejan Pangercic, Karol Hausman, 2013, 2013 IEEE International Conference on Robotics and Automation.

Functional object mapping of kitchen environments

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Uncertainty-based Classifier Adaptation for Interactive Life-long Learning

Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, 2017 .

RoboSherlock: Unstructured information processing for robot perception

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Reconstruction and Verification of 3D Object Models for Grasping

Lucian Cosmin Goron, Zoltan-Csaba Marton, Michael Beetz, 2009, ISRR.

Autonomous Mapping of Kitchen Environments and Applications

Nico Blodow, Zoltan-Csaba Marton, Moritz Tenorth, 2008 .

Cumulative object categorization in clutter

Zoltan-Csaba Marton, Dejan Pangercic, Óscar Martínez Mozos, 2013 .

Automatic Layered 3D Reconstruction of Simplified Object Models for Grasping

Lucian Cosmin Goron, Zoltan-Csaba Marton, Michael Beetz, 2010, ISR/ROBOTIK.

Multi-cue Perception for Robotic Object Manipulation : How Spatio-temporal Integration of Multi-modal Information Aids Task Execution

Zoltan-Csaba Marton, Zoltán-Csaba Márton, 2014 .

On-the-fly particle filter registration for laser data

Zoltan-Csaba Marton, Simon Kriegel, Jakob Hasse, 2016, 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).

Improving object orientation estimates by considering multiple viewpoints

Zoltan-Csaba Marton, Manuel Brucker, Simon Kriegel, 2018, Auton. Robots.

Multi-Path Learning for Object Pose Estimation Across Domains

Zoltan-Csaba Marton, Martin Sundermeyer, Maximilian Durner, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Incremental Object Categorization in Clutter

Zoltan-Csaba Marton, Dejan Pangercic, Óscar Martínez Mozos, 2013 .

Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation

Zoltan-Csaba Marton, Markus Vincze, Federico Tombari, 2012, IEEE Robotics & Automation Magazine.

Autonomous Bipedal Humanoid Grasping with Base Repositioning and Whole-Body Control

Zoltan-Csaba Marton, Bernd Henze, Máximo A. Roa, 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).

Binaural bearing only tracking of stationary sound sources in reverberant environment

Zoltan-Csaba Marton, Michael Neumann, Ingo Kossyk, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Towards 3D Point cloud based object maps for household environments

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008, Robotics Auton. Syst..

Feature based particle filter registration of 3D surface models and its application in robotics

Zoltan-Csaba Marton, Michael Suppa, Tim Bodenmüller, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Advantages of Spatial-temporal Object Maps for Service Robotics

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2011, ARSO 2011.

Segmenting Cylindrical and Box-like Objects in Cluttered 3D Scenes

Lucian Cosmin Goron, Zoltan-Csaba Marton, Michael Beetz, 2012, Robotik 2012.

On the Use of the Tree Structure of Depth Levels for Comparing 3D Object Views

Zoltan-Csaba Marton, Michael H. F. Wilkinson, Fabio Bracci, 2017, CAIP.

Partial view modeling and validation in 3D laser scans for grasping

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.

Learning informative point classes for the acquisition of object model maps

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Evaluation and improvement of global pose estimation with multiple AprilTags for industrial manipulators

Zoltan-Csaba Marton, Christian Nissler, Stefan Büttner, 2016, ETFA 2016.

Combining object modeling and recognition for active scene exploration

Zoltan-Csaba Marton, Manuel Brucker, Michael Suppa, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

InFuse: a comprehensive framework for data fusion in space robotics

Fabrice Souvannavong, Zoltan-Csaba Marton, Bilal Wehbe, 2017, ICRA 2017.

Furniture Classification using WWW CAD Models

Zoltan-Csaba Marton, Florian Seidel, Vladyslav Usenko, 2012 .

Interactive Segmentation of Textured and Textureless Objects

Gaurav S. Sukhatme, Zoltan-Csaba Marton, Dejan Pangercic, 2015 .

Experience-based optimization of robotic perception

Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, 2017, 2017 18th International Conference on Advanced Robotics (ICAR).

Combined 2D–3D categorization and classification for multimodal perception systems

Nico Blodow, Zoltan-Csaba Marton, Dejan Pangercic, 2011, Int. J. Robotics Res..

Automatic scene parsing for generic object descriptions using shape primitives

Zoltan-Csaba Marton, Katharina Hertkorn, Stefan Büttner, 2016, Robotics Auton. Syst..

On Texture and Geometric Feature Based RGB-D Registration

Zoltan-Csaba Marton, Michael Suppa, Darko Stanimirovic, 2013 .

Learning Implicit Representations of 3D Object Orientations from RGB

Zoltan-Csaba Marton, Martin Sundermeyer, Maximilian Durner, 2018 .

Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Incremental Modeling and Object Classification based on the Segmentation from Cluttered Settings

Lucian Cosmin Goron, Zoltan-Csaba Marton, Michael Beetz, 2012 .

Using Web Catalogs to Locate and Categorize Unknown Furniture Pieces in 3 D Laser Scans

Zoltan-Csaba Marton, Michael Beetz, Óscar Martínez Mozos, 2011 .

Towards 3D object maps for autonomous household robots

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A method for hand-eye and camera-to-camera calibration for limited fields of view

Zoltan-Csaba Marton, Rudolph Triebel, Ulrike Thomas, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Evaluation of feature selection and model training strategies for object category recognition

Zoltan-Csaba Marton, Haider Ali, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multi-cue Perception for Robotic Object Manipulation

Zoltan-Csaba Marton, 2014 .

The LRU Rover for Autonomous Planetary Exploration and Its Success in the SpaceBotCamp Challenge

Zoltan-Csaba Marton, Werner Friedl, Michael Suppa, 2016, 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC).

Improving object classification robustness in RGB-D using adaptive SVMs

Zoltan-Csaba Marton, Marcin Grzegorzek, Haider Ali, 2015, Multimedia Tools and Applications.

On Bayesian Inference for Embodied Perception of Object Poses

Zoltan-Csaba Marton, Serkan Türker, Zoltán-Csaba Márton, 2013 .

Semantic Labeling of Indoor Environments from 3D RGB Maps

Zoltan-Csaba Marton, Axel Wendt, Kai Oliver Arras, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Action recognition in intelligent environments using point cloud features extracted from silhouette sequences

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

Close-range scene segmentation and reconstruction of 3D point cloud maps for mobile manipulation in domestic environments

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Ensemble Learning for Object Recognition and Pose Estimation

Zoltan-Csaba Marton, 2013 .

Segmentation of Textured and Textureless Objects through Interactive Perception

Kei Okada, Zoltan-Csaba Marton, Dejan Pangercic, 2012 .

Towards Modular Spatio-temporal Perception for Task-adapting Robots

Zoltan-Csaba Marton, Michael Beetz, Florian Seidel, 2012, ICANN 2012.

InFuse : infusing perception and data fusion into space robotics with open building blocks

Fabrice Souvannavong, Zoltan-Csaba Marton, Bilal Wehbe, 2017, ICINCO 2017.

How Robots Learn to Classify New Objects Trained from Small Data Sets

Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel, 2017, CoRL.

Perception and probabilistic anchoring for dynamic world state logging

Nico Blodow, Zoltan-Csaba Marton, Michael Beetz, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

Monte Carlo Registration and Its Application with Autonomous Robots

Zoltan-Csaba Marton, Simon Kriegel, Tim Bodenmüller, 2016, J. Sensors.

A Robot that Shops for and Stores Groceries

Lucian Cosmin Goron, Zoltan-Csaba Marton, Dejan Pangercic, 2011 .

CoP-Man -- Perception for Mobile Pick-and-Place in Human Living Environments

Nico Blodow, Zoltan-Csaba Marton, Dejan Pangercic, 2009 .

Simultaneous Calibration and Mapping

Zoltan-Csaba Marton, Maximilian Durner, Rudolph Triebel, 2018, ISER.

InFuse data fusion methodology for space robotics, awareness and machine learning

Fabrice Souvannavong, Zoltan-Csaba Marton, Bilal Wehbe, 2018 .

The Assistive Kitchen — A demonstration scenario for cognitive technical systems

Nico Blodow, Zoltan-Csaba Marton, Moritz Tenorth, 2007, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

Discriminative regularization of the latent manifold of variational auto-encoders

Zoltan-Csaba Marton, Ingo Kossyk, 2019, J. Vis. Commun. Image Represent..

Automated Benchmarks and Optimization of Perception Tasks

Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, 2017 .

Voxelized Shape and Color Histograms for RGB-D

Yasuo Kuniyoshi, Zoltan-Csaba Marton, Dejan Pangercic, 2011, IROS 2011.

Efficient Surface and Feature Estimation in RGBD

Zoltan-Csaba Marton, Dejan Pangercic, Michael Beetz, 2011 .

Ensembles of strong learners for multi-cue classification

Zoltan-Csaba Marton, Michael Beetz, Ferenc Balint-Benczedi, 2013, Pattern Recognit. Lett..

On Fast Surface Reconstruction Methods for Large and Noisy Datasets

Zoltan-Csaba Marton, Michael Beetz, Radu Bogdan Rusu, 2009, IEEE International Conference on Robotics and Automation.

Visual Repetition Sampling for Robot Manipulation Planning

Alin Albu-Schäffer, Zoltan-Csaba Marton, Maximilian Durner, 2019, 2019 International Conference on Robotics and Automation (ICRA).

General 3D modelling of novel objects from a single view

Nico Blodow, Zoltan-Csaba Marton, Dejan Pangercic, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Storing and retrieving perceptual episodic memories for long-term manipulation tasks

Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz, 2017, 2017 18th International Conference on Advanced Robotics (ICAR).

Searching for Objects in Human Living Environments based on Relevant Inferred and Mined Priors*

Zoltan-Csaba Marton, Maximilian Durner, Ramón Barber, 2021, 2021 European Conference on Mobile Robots (ECMR).

Unknown Object Segmentation from Stereo Images

Zoltan-Csaba Marton, Werner Friedl, Martin Sundermeyer, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multi-view orientation estimation using Bingham mixture models

Zoltan-Csaba Marton, Simon Kriegel, Sebastian Riedel, 2016, 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).