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 | 449 | 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 | 340 | 2005 |
Learning grasp affordance densities R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater Paladyn 2, 1-17, 2011 | 219 | 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 | 212 | 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 | 206 | 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 | 205 | 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 | 199 | 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 |
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 | 166 | 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 | 134 | 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 | 130 | 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 | 108 | 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 | 96 | 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 | 92 | 2013 |
Online Learning of Gaussian Mixture Models-a Two-Level Approach. A Declercq, JH Piater VISAPP (1), 605-611, 2008 | 90 | 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 | 86 | 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 | 82 | 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 | 77 | 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 | 71 | 2016 |