Justus Piater

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Norbert KruegerProfessor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Renaud DetryKU LeuvenVerified email at kuleuven.be
Antonio Rodriguez-SanchezAssociate Professor, University of InnsbruckVerified email at uibk.ac.at
Dirk KraftAssociate Professor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Oliver KroemerCarnegie Mellon University - The Robotics InstituteVerified email at andrew.cmu.edu
Tamim AsfourKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Aleš UdeJožef Stefan InstituteVerified email at ijs.si
Sébastien JodogneUCLouvainVerified email at uclouvain.be
Nicolas PugeaultReader, School of Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Sinan KalkanDept. of Computer Eng., Middle East Technical UniversityVerified email at metu.edu.tr
Louis WehenkelProfessor of Electrical Engineering and Computer Science, ULiège - University of LiègeVerified email at ulg.ac.be
Raphaël MaréeMontefiore Institute - University of LiègeVerified email at uliege.be
Pierre GeurtsProfessor of Computer Science, University of Liège, BelgiumVerified email at ulg.ac.be
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Eren Erdal AksoyAssociate Professor, Halmstad UniversityVerified email at hh.se
James CrowleyProfessor at Grenoble INP, Researcher at INRIA, LIGVerified email at crowley-coutaz.fr
Fabien ScalzoAssistant Professor, University of California Los Angeles (UCLA)Verified email at mednet.ucla.edu
Ron PetrickHeriot-Watt UniversityVerified email at hw.ac.uk
Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se

Justus Piater

Professor of Computer Science, University of Innsbruck, Austria

Verified email at uibk.ac.at - Homepage

computer vision machine learning robotics


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Deep hierarchies in the primate visual cortex: What can we learn for computer vision? N Kruger, P Janssen, S Kalkan, M Lappe, A Leonardis, J Piater, ... IEEE transactions on pattern analysis and machine intelligence 35 (8), 1847-1871, 2012	390	2012
Random subwindows for robust image classification R Marée, P Geurts, J Piater, L Wehenkel 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	341	2005
Learning grasp affordance densities R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater Paladyn 2, 1-17, 2011	210	2011
Object–action complexes: Grounded abstractions of sensory–motor processes N Krüger, C Geib, J Piater, R Petrick, M Steedman, F Wörgötter, A Ude, ... Robotics and Autonomous Systems 59 (10), 740-757, 2011	202	2011
Combining active learning and reactive control for robot grasping OB Kroemer, R Detry, J Piater, J Peters Robotics and Autonomous systems 58 (9), 1105-1116, 2010	176	2010
Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot J Coelho, J Piater, R Grupen Robotics and Autonomous Systems 37 (2-3), 195-218, 2001	169	2001
Affordances in psychology, neuroscience, and robotics: A survey L Jamone, E Ugur, A Cangelosi, L Fadiga, A Bernardino, J Piater, ... IEEE Transactions on Cognitive and Developmental Systems 10 (1), 4-25, 2016	165	2016
The state of the art in multiple object tracking under occlusion in video sequences PF Gabriel, JG Verly, JH Piater, A Genon Advanced Concepts for Intelligent Vision Systems, 166-173, 2003	163	2003
RWTH-PHOENIX-weather: A large vocabulary sign language recognition and translation corpus. J Forster, C Schmidt, T Hoyoux, O Koller, U Zelle, JH Piater, H Ney LREC 9, 3785-3789, 2012	152	2012
Multi-camera people tracking by collaborative particle filters and principal axis-based integration W Du, J Piater Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007	132	2007
Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning E Ugur, J Piater 2015 IEEE International Conference on Robotics and Automation (ICRA), 2627-2633, 2015	103	2015
Online Learning of Gaussian Mixture Models-a Two-Level Approach. A Declercq, JH Piater VISAPP (1), 605-611, 2008	91	2008
A probabilistic framework for 3D visual object representation R Detry, N Pugeault, JH Piater IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (10), 1790 …, 2009	87	2009
Multi-modal tracking of interacting targets using Gaussian approximations JH Piater, JL Crowley Second IEEE international workshop on performance evaluation of tracking and …, 2001	85	2001
Computational models of affordance in robotics: a taxonomy and systematic classification P Zech, S Haller, SR Lakani, B Ridge, E Ugur, J Piater Adaptive Behavior 25 (5), 235-271, 2017	84	2017
A simple ontology of manipulation actions based on hand-object relations F Wörgötter, EE Aksoy, N Krüger, J Piater, A Ude, M Tamosiunaite IEEE Transactions on Autonomous Mental Development 5 (2), 117-134, 2013	83	2013
Generalizing grasps across partly similar objects R Detry, CH Ek, M Madry, J Piater, D Kragic 2012 IEEE International Conference on Robotics and Automation, 3791-3797, 2012	71	2012
Fast computation of characteristic scale using a half octave pyramid JL Crowley, O Riff, JH Piater International Conference on Scale-Space Theories in Computer Vision, 2002	66	2002
Teaching a robot the semantics of assembly tasks TR Savarimuthu, AG Buch, C Schlette, N Wantia, J Roßmann, D Martínez, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (5), 670-692, 2017	65	2017
Symbol emergence in cognitive developmental systems: a survey T Taniguchi, E Ugur, M Hoffmann, L Jamone, T Nagai, B Rosman, ... IEEE transactions on Cognitive and Developmental Systems 11 (4), 494-516, 2018	64	2018

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