| 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 | 457 | 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 | 73 | 2016 |
| The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape AJ Rodríguez-Sánchez, JK Tsotsos Public Library of Science 7 (8), e42058, 2012 | 63 | 2012 |
| 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 | 60 | 2014 |
| 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 | 57 | 2008 |
| Improving CT image tumor segmentation through deep supervision and attentional gates A Turečková, T Tureček, Z Komínková Oplatková, A Rodríguez-Sánchez Frontiers in Robotics and AI 7, 106, 2020 | 37 | 2020 |
| Towards affordance detection for robot manipulation using affordance for parts and parts for affordance S Rezapour Lakani, AJ Rodríguez-Sánchez, J Piater Autonomous Robots 43, 1155-1172, 2019 | 34 | 2019 |
| Attention and visual search AJ Rodriguez-Sanchez, E Simine, JK Tsotsos International Journal of Neural Systems 17 (04), 275-288, 2007 | 34 | 2007 |
| Greedy-layer pruning: Speeding up transformer models for natural language processing D Peer, S Stabinger, S Engl, A Rodríguez-Sánchez Pattern recognition letters 157, 76-82, 2022 | 29 | 2022 |
| ISLES challenge: U-shaped convolution neural network with dilated convolution for 3D stroke lesion segmentation A Tureckova, AJ Rodríguez-Sánchez Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 29 | 2019 |
| Limitation of capsule networks D Peer, S Stabinger, A Rodriguez-Sanchez Pattern Recognition Letters 144, 68-74, 2021 | 28 | 2021 |
| Training deep capsule networks D Peer, S Stabinger, A Rodriguez-Sanchez arXiv preprint arXiv:1812.09707, 2018 | 24 | 2018 |
| 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 | 24 | 2011 |
| Continual learning from demonstration of robotics skills S Auddy, J Hollenstein, M Saveriano, A Rodríguez-Sánchez, J Piater Robotics and Autonomous Systems 165, 104427, 2023 | 21 | 2023 |
| A robust contour detection operator with combined push-pull inhibition and surround suppression D Melotti, K Heimbach, A Rodríguez-Sánchez, N Strisciuglio, G Azzopardi Information sciences 524, 229-240, 2020 | 21 | 2020 |
| Different binding strategies for the different stages of visual recognition JK Tsotsos, AJ Rodriguez-Sanchez, AL Rothenstein, E Simine Advances in Brain, Vision, and Artificial Intelligence: Second International …, 2007 | 20 | 2007 |
| Evaluating the progress of deep learning for visual relational concepts S Stabinger, D Peer, J Piater, A Rodríguez-Sánchez Journal of Vision 21 (11), 8-8, 2021 | 18 | 2021 |
| 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 | 17 | 2017 |
| Training deep capsule networks with residual connections J Gugglberger, D Peer, A Rodríguez-Sánchez Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 16 | 2021 |
| Exercising affordances of objects: A part-based approach SR Lakani, AJ Rodríguez-Sánchez, J Piater IEEE Robotics and Automation Letters 3 (4), 3465-3472, 2018 | 16 | 2018 |
Justus PiaterProfessor of Computer Science, University of Innsbruck, AustriaVerified email at uibk.ac.at
