Justus Piater
Justus Piater
Professor of Computer Science, University of Innsbruck, Austria
Verified email at uibk.ac.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), 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
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
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
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
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
Multi-camera people tracking by collaborative particle filters and principal axis-based integration
W Du, J Piater
Asian Conference on Computer Vision, 365-374, 2007
Rwth-phoenix-weather: A large vocabulary sign language recognition and translation corpus
J Forster, C Schmidt, T Hoyoux, O Koller, U Zelle, J Piater, H Ney
Proceedings of the Eighth International Conference on Language Resources and …, 2012
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
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
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
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
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
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
Object tracking using color interest points
P Gabriel, JB Hayet, J Piater, J Verly
IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 159-164, 2005
Event-based activity analysis in live video using a generic object tracker
JH Piater, S Richetto, JL Crowley
Proc. of third IEEE international workshop on performance evaluation of …, 2002
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