| 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 | 311 | 2012 |
| The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape AJ Rodríguez-Sánchez, JK Tsotsos PLoS One 7 (8), e42058, 2012 | 58 | 2012 |
| The different stages of visual recognition need different attentional binding strategies JK Tsotsos, AJ Rodríguez-Sánchez, AL Rothenstein, E Simine Brain research 1225, 119-132, 2008 | 47 | 2008 |
| 25 years of cnns: Can we compare to human abstraction capabilities? S Stabinger, A Rodríguez-Sánchez, J Piater International Conference on Artificial Neural Networks, 380-387, 2016 | 43 | 2016 |
| A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detection G Azzopardi, A Rodríguez-Sánchez, J Piater, N Petkov PLoS One 9 (7), e98424, 2014 | 39 | 2014 |
| Attention and visual search AJ Rodriguez-Sanchez, E Simine, JK Tsotsos International Journal of Neural Systems 17 (04), 275-288, 2007 | 28 | 2007 |
| A clash of bottom-up and top-down processes in visual search: The reversed letter effect revisited. L Zhaoping, U Frith Journal of Experimental Psychology: Human Perception and Performance 37 (4), 997, 2011 | 22 | 2011 |
| The importance of intermediate representations for the modeling of 2d shape detection: Endstopping and curvature tuned computations AJ Rodríguez-Sánchez, JK Tsotsos CVPR 2011, 4321-4326, 2011 | 22 | 2011 |
| Towards affordance detection for robot manipulation using affordance for parts and parts for affordance SR Lakani, AJ Rodríguez-Sánchez, J Piater Autonomous Robots 43 (5), 1155-1172, 2019 | 15 | 2019 |
| Training deep capsule networks D Peer, S Stabinger, A Rodriguez-Sanchez arXiv preprint arXiv:1812.09707, 2018 | 15* | 2018 |
| Different binding strategies for the different stages of visual recognition JK Tsotsos, AJ Rodriguez-Sanchez, AL Rothenstein, E Simine International Symposium on Brain, Vision, and Artificial Intelligence, 150-160, 2007 | 15 | 2007 |
| Visual feature binding within the selective tuning attention framework AL Rothenstein, AJ Rodriguez-Sanchez, E Simine, JK Tsotsos International Journal of Pattern Recognition and Artificial Intelligence 22 …, 2008 | 12 | 2008 |
| Hierarchical object representations in the visual cortex and computer vision AJ Rodríguez-Sánchez, M Fallah, A Leonardis Frontiers in computational neuroscience 9, 142, 2015 | 10 | 2015 |
| SCurV: A 3D descriptor for object classification AJ Rodríguez-Sánchez, S Szedmak, J Piater 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 9 | 2015 |
| Towards sparsity and selectivity: Bayesian learning of restricted Boltzmann machine for early visual features H Xiong, S Szedmak, A Rodríguez-Sánchez, J Piater International Conference on Artificial Neural Networks, 419-426, 2014 | 9 | 2014 |
| Limitation of capsule networks D Peer, S Stabinger, A Rodríguez-Sánchez Pattern Recognition Letters 144, 68-74, 2021 | 8* | 2021 |
| Diversity priors for learning early visual features H Xiong, AJ Rodríguez-Sánchez, S Szedmak, J Piater Frontiers in computational neuroscience 9, 104, 2015 | 8 | 2015 |
| A deep learning approach for detecting and correcting highlights in endoscopic images A Rodríguez-Sánchez, D Chea, G Azzopardi, S Stabinger 2017 seventh international conference on image processing theory, tools and …, 2017 | 7 | 2017 |
| IIS at ImageCLEF 2015: Multi-label classification task A Rodrıguez-Sánchez, S Fontanella, J Piater, S Szedmak Working Notes of CLEF 2015, 2015 | 7 | 2015 |
| ISLES challenge: U-shaped convolution neural network with dilated convolution for 3D stroke lesion segmentation A Tureckova, AJ Rodríguez-Sánchez International MICCAI Brainlesion Workshop, 319-327, 2018 | 6 | 2018 |
Justus PiaterProfessor of Computer Science, University of Innsbruck, AustriaVerifierad e-postadress på uibk.ac.at
