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Antonio Rodriguez-Sanchez
Antonio Rodriguez-Sanchez
Associate Professor, University of Innsbruck
Verified email at uibk.ac.at - Homepage
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Cited by
Cited by
Year
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
3772012
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
602012
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
572016
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
492008
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
472014
Attention and visual search
AJ Rodriguez-Sanchez, E Simine, JK Tsotsos
International Journal of Neural Systems 17 (04), 275-288, 2007
292007
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
242011
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 (5), 1155-1172, 2019
222019
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
172007
Training deep capsule networks
D Peer, S Stabinger, A Rodriguez-Sanchez
arXiv preprint arXiv:1812.09707, 2018
162018
Limitation of capsule networks
D Peer, S Stabinger, A Rodriguez-Sanchez
Pattern Recognition Letters 144, 68-74, 2021
152021
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
132018
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
122017
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
122008
Hierarchical object representations in the visual cortex and computer vision
AJ Rodríguez-Sánchez, M Fallah, A Leonardis
Frontiers in computational neuroscience 9, 142, 2015
112015
Diversity priors for learning early visual features
H Xiong, AJ Rodríguez-Sánchez, S Szedmak, J Piater
Frontiers in computational neuroscience 9, 104, 2015
112015
Limitations of routing-by-agreement based capsule networks
D Peer, S Stabinger, A Rodriguez-Sanchez
arXiv preprint arXiv:1905.08744, 2019
102019
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
102018
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
102016
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
92017
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