Justus Piater
Justus Piater
Professor of Computer Science, University of Innsbruck, Austria
Verified email at - Homepage
Cited by
Cited by
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
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
Learning grasp affordance densities
R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater
Paladyn 2, 1-17, 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
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
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
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
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
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
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
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
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
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
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
Online Learning of Gaussian Mixture Models-a Two-Level Approach.
A Declercq, JH Piater
VISAPP (1), 605-611, 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
Multi-modal tracking of interacting targets using Gaussian approximations
JH Piater, JL Crowley
Second IEEE international workshop on performance evaluation of tracking and …, 2001
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
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
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
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