Search Results - "Zoltán-Csaba Márton"
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VITA-an everyday virtual reality setup for prosthetics and upper-limb rehabilitation
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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Discriminative regularization of the latent manifold of variational auto-encoders
Published in Journal of visual communication and image representation (01-05-2019)“…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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Towards Autonomous Planetary Exploration: The Lightweight Rover Unit (LRU), its Success in the SpaceBotCamp Challenge, and Beyond
Published in Journal of intelligent & robotic systems (01-03-2019)“…Planetary exploration poses many challenges for a robot system: From weight and size constraints to extraterrestrial environment conditions, which constrain…”
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Automatic scene parsing for generic object descriptions using shape primitives
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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Improving object classification robustness in RGB-D using adaptive SVMs
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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Improving object orientation estimates by considering multiple viewpoints: Orientation histograms of symmetries and measurement models for view selection
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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The LRU Rover for Autonomous Planetary Exploration and Its Success in the SpaceBotCamp Challenge
Published in 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC) (01-05-2016)“…The task of planetary exploration poses many challenges for a robot system, from weight and size constraints to sensors and actuators suitable for…”
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Conference Proceeding -
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Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection
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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Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation
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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Unknown Object Segmentation from Stereo Images
Published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-01-2021)“…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 -
11
Improving object orientation estimates by considering multiple viewpoints
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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Towards 3D Point cloud based object maps for household environments
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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Multi-Path Learning for Object Pose Estimation Across Domains
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…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 -
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Combined 2D–3D categorization and classification for multimodal perception systems
Published in The International journal of robotics research (01-09-2011)“…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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CHALLENGES IN FUSION OF HETEROGENEOUS POINT CLOUDS
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (30-05-2018)“…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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RoboSherlock: Unstructured information processing for robot perception
Published in 2015 IEEE International Conference on Robotics and Automation (ICRA) (01-05-2015)“…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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Towards Autonomous Planetary Exploration
Published in Journal of intelligent & robotic systems (01-03-2019)“…Planetary exploration poses many challenges for a robot system: From weight and size constraints to extraterrestrial environment conditions, which constrain…”
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Journal Article -
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Close-range scene segmentation and reconstruction of 3D point cloud maps for mobile manipulation in domestic environments
Published in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (01-10-2009)“…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
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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Selecting CNN features for online learning of 3D objects
Published in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-09-2017)“…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