Search Results - "Zoltán-Csaba Márton"

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  1. 1

    VITA-an everyday virtual reality setup for prosthetics and upper-limb rehabilitation by Nissler, Christian, Nowak, Markus, Connan, Mathilde, Büttner, Stefan, Vogel, Jörg, Kossyk, Ingo, Márton, Zoltán-Csaba, Castellini, Claudio

    Published in Journal of neural engineering (01-04-2019)
    “…Currently, there are some 95 000 people in Europe suffering from upper-limb impairment. Rehabilitation should be undertaken right after the impairment occurs…”
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    Journal Article
  2. 2

    Discriminative regularization of the latent manifold of variational auto-encoders by Kossyk, Ingo, Márton, Zoltán-Csaba

    “…We present an approach on training classifiers or regressors using the latent embedding of variational auto-encoders (VAE), an unsupervised deep learning…”
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    Journal Article
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    Automatic scene parsing for generic object descriptions using shape primitives by Büttner, Stefan, Márton, Zoltán-Csaba, Hertkorn, Katharina

    Published in Robotics and autonomous systems (01-02-2016)
    “…Autonomous robots need to generate complete 3D models from a limited range of view when trying to manipulate objects for which no model is known a priori. This…”
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    Journal Article
  5. 5

    Improving object classification robustness in RGB-D using adaptive SVMs by Nuricumbo, Jorge René, Ali, Haider, Márton, Zoltán-Csaba, Grzegorzek, Marcin

    Published in Multimedia tools and applications (01-06-2016)
    “…Nowadays object recognition is a fundamental capability for an autonomous robot in interaction with the physical world. Taking advantage of new sensing…”
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    Journal Article
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    Improving object orientation estimates by considering multiple viewpoints: Orientation histograms of symmetries and measurement models for view selection by Márton, Zoltán Csaba, Türker, Serkan, Rink, Christian, Brucker, Manuel, Kriegel, Simon, Bodenmüller, Tim, Riedel, Sebastian

    Published in Autonomous robots (01-02-2018)
    “…This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant…”
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    Journal Article
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    Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection by Sundermeyer, Martin, Marton, Zoltan-Csaba, Durner, Maximilian, Triebel, Rudolph

    Published in International journal of computer vision (01-03-2020)
    “…We propose a real-time RGB-based pipeline for object detection and 6D pose estimation. Our novel 3D orientation estimation is based on a variant of the…”
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    Journal Article
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    Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation by Aldoma, Aitor, Marton, Zoltan-Csaba, Tombari, Federico, Wohlkinger, Walter, Potthast, Christian, Zeisl, Bernhard, Rusu, Radu Bogdan, Gedikli, Suat, Vincze, Markus

    Published in IEEE robotics & automation magazine (01-09-2012)
    “…With the advent of new-generation depth sensors, the use of three-dimensional (3-D) data is becoming increasingly popular. As these sensors are commodity…”
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    Journal Article
  10. 10

    Unknown Object Segmentation from Stereo Images by Durner, Maximilian, Boerdijk, Wout, Sundermeyer, Martin, Friedl, Werner, Marton, Zoltan-Csaba, Triebel, Rudolph

    “…Although instance-aware perception is a key prerequisite for many autonomous robotic applications, most of the methods only partially solve the problem by…”
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    Conference Proceeding
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    Improving object orientation estimates by considering multiple viewpoints by Márton, Zoltán Csaba, Türker, Serkan, Rink, Christian, Brucker, Manuel, Kriegel, Simon, Bodenmüller, Tim, Riedel, Sebastian

    Published in Autonomous robots (01-02-2018)
    “…This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant…”
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    Journal Article
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    Towards 3D Point cloud based object maps for household environments by Rusu, Radu Bogdan, Marton, Zoltan Csaba, Blodow, Nico, Dolha, Mihai, Beetz, Michael

    Published in Robotics and autonomous systems (30-11-2008)
    “…This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The objects modeled in these maps…”
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    Journal Article
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    Multi-Path Learning for Object Pose Estimation Across Domains by Sundermeyer, Martin, Durner, Maximilian, Puang, En Yen, Marton, Zoltan-Csaba, Vaskevicius, Narunas, Arras, Kai O., Triebel, Rudolph

    “…We introduce a scalable approach for object pose estimation trained on simulated RGB views of multiple 3D models together. We learn an encoding of object views…”
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    Conference Proceeding
  14. 14

    Combined 2D–3D categorization and classification for multimodal perception systems by Marton, Zoltan-Csaba, Pangercic, Dejan, Blodow, Nico, Beetz, Michael

    “…In this article we describe an object perception system for autonomous robots performing everyday manipulation tasks in kitchen environments. The perception…”
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    Journal Article
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    CHALLENGES IN FUSION OF HETEROGENEOUS POINT CLOUDS by Bracci, F., Drauschke, M., Kühne, S., Márton, Z.-C.

    “…Different platforms and sensors are used to derive 3d models of urban scenes. 3d reconstruction from satellite and aerial images are used to derive sparse…”
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    Journal Article
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    RoboSherlock: Unstructured information processing for robot perception by Beetz, Michael, Balint-Benczedi, Ferenc, Blodow, Nico, Nyga, Daniel, Wiedemeyer, Thiemo, Marton, Zoltan-Csaba

    “…We present RoboSherlock, an open source software framework for implementing perception systems for robots performing human-scale everyday manipulation tasks…”
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    Conference Proceeding
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    Close-range scene segmentation and reconstruction of 3D point cloud maps for mobile manipulation in domestic environments by Rusu, R.B., Blodow, N., Marton, Z.C., Beetz, M.

    “…In this paper we present a framework for 3D geometric shape segmentation for close-range scenes used in mobile manipulation and grasping, out of sensed point…”
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    Conference Proceeding
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    Ensembles of strong learners for multi-cue classification by Marton, Zoltan-Csaba, Seidel, Florian, Balint-Benczedi, Ferenc, Beetz, Michael

    Published in Pattern recognition letters (01-05-2013)
    “…► Classification ensembles based on strong learners to improve on concatenations. ► Multi-modal perception for object recognition. ► Comparing different…”
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    Journal Article
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    Selecting CNN features for online learning of 3D objects by Ullrich, Monika, Ali, Haider, Durner, Maximilian, Marton, Zoltan-Csaba, Triebel, Rudolph

    “…We present a novel method for classifying 3D objects that is particularly tailored for the requirements in robotic applications. The major challenges here are…”
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    Conference Proceeding