Antonio Rodriguez-Sanchez
Antonio Rodriguez-Sanchez
Associate Professor, University of Innsbruck
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
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
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
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
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
Attention and visual search
AJ Rodriguez-Sanchez, E Simine, JK Tsotsos
International Journal of Neural Systems 17 (04), 275-288, 2007
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
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
Limitation of capsule networks
D Peer, S Stabinger, A Rodriguez-Sanchez
Pattern Recognition Letters 144, 68-74, 2021
Training deep capsule networks
D Peer, S Stabinger, A Rodriguez-Sanchez
arXiv preprint arXiv:1812.09707, 2018
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
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
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
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
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
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
Evaluation of deep learning on an abstract image classification dataset
S Stabinger, A Rodriguez-Sanchez
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Can computer vision problems benefit from structured hierarchical classification?
T Hoyoux, AJ Rodríguez-Sánchez, JH Piater
Machine Vision and Applications 27 (8), 1299-1312, 2016
Hierarchical object representations in the visual cortex and computer vision
AJ Rodríguez-Sánchez, M Fallah, A Leonardis
Frontiers in computational neuroscience 9, 142, 2015
Diversity priors for learning early visual features
H Xiong, AJ Rodríguez-Sánchez, S Szedmak, J Piater
Frontiers in computational neuroscience 9, 104, 2015
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