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
Sinan KalkanDept. of Computer Eng., Middle East Technical UniversityVerified email at metu.edu.tr
Nicolas PugeaultReader, School of Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Louis WehenkelProfessor of EE&CS, Montefiore Institute, 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
Jens ForsterSpeech Scientist, AmazonVerified email at cs.rwth-aachen.de

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	417	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	342	2005
Learning grasp affordance densities R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater Paladyn 2, 1-17, 2011	215	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	208	2011
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	188	2012
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	186	2010
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	185	2016
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	170	2001
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	164	2003
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	120	2015
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	96	2017
Online Learning of Gaussian Mixture Models-a Two-Level Approach. A Declercq, JH Piater VISAPP (1), 605-611, 2008	90	2008
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	86	2018
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	86	2013
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	86	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	86	2001
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	74	2012
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	73	2017
25 years of cnns: Can we compare to human abstraction capabilities? S Stabinger, A Rodríguez-Sánchez, J Piater Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016	67	2016

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