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Office: ICT building, 3N05
Phone: +43 512 507 53270
Email: antonio.rodriguez-sanchez@uibk.ac.at
Antonio José Rodríguez Sánchez is currently an Associate Professor in the Intelligent and Interactive Systems group of the department of Computer Science at the Universität Innsbruck (Austria) leaded by Prof. Justus Piater.
He was born in Santiago de Compostela (A Coruña), a beautiful city in the north-west of Spain.
He completed his Ph.D. at the Center for Vision Research (York University, Toronto, Canada) on modeling attention and intermediate areas of the visual cortex under the supervision of John K. Tsotsos in 2010. He obtained the degree of M.Sc. in Computer Science at the Universidade da Coruña (Spain) in 1998. He received his B.Sc. in Computer Science at Universidad de Córdoba (Spain) with Honors. He did his Bachelor Thesis at the Université de La Rochelle (France). He has also finished 3 years of B.Sc. in Biology in the Universidad Autónoma de Madrid (Spain).
His current research interests include computational neuroscience, (deep) neural networks, computer vision, machine learning and robotics.
He is also interested from an “amateur” point of view in other non computer related scientific fields such as physiscs, mathematics, biology, history, sports (skiing, swimming, hiking, fencing) and photography.
Safoura Rezapour Lakani, Antonio Rodríguez-Sánchez, Justus Piater, Towards affordance detection for robot manipulation using affordance for parts and parts for affordance. Autonomous Robots, 2018, early access. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
Safoura Rezapour Lakani, Antonio Rodríguez-Sánchez, Justus Piater, Exercising Affordances of Objects: A Part-Based Approach. IEEE Robotics and Automation Letters 3 (4), pp.¬†3465‚Äì3472, 2018. ¬©¬†IEEE [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Daly Chea, George Azzopardi, Sebastian Stabinger, A deep learning approach for detecting and correcting highlights in endoscopic images. International Conference on Image Processing Theory, Tools and Applications., 2017, to appear. [Link] [PDF] [Abstract] [BibTeX]
Safoura Rezapour Lakani, Antonio Rodríguez-Sánchez, Justus Piater, Can Affordances Guide Object Decomposition Into Semantically Meaningful Parts?. IEEE Winter Conference on Applications of Computer Vision, 2017. ¬©¬†IEEE [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus Piater, Learning V4 curvature cell populations from sparse endstopped cells. Artificial Neural Networks and Machine Learning ‚Äì ICANN 2016, pp.¬†463‚Äì471, 2016. Springer LNCS 9887. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
Sebastian Stabinger, Antonio Rodríguez-Sánchez, Justus Piater, 25 years of CNNs: Can we compare to human abstraction capabilities?. Artificial Neural Networks and Machine Learning ‚Äì ICANN 2016, pp.¬†380‚Äì387, 2016. Springer LNCS 9887. ¬©¬†Springer-Verlag [Link] [arXiv] [PDF] [Abstract] [BibTeX]
Sabrina Fontanella, Antonio Rodríguez-Sánchez, Justus Piater, Sandor Szedmak, Kronecker decomposition for image classification. Experimental IR Meets Multilinguality, Multimodality, and Interaction ‚Äì Proceedings of the 7th International Conference of the CLEF Association, pp.¬†137‚Äì149, 2016. Springer LNCS 9822. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
Thomas Hoyoux, Antonio Rodríguez-Sánchez, Justus Piater, Can Computer Vision Problems Benefit from Structured Hierarchical Classification?. Machine Vision and Applications 27, pp.¬†1299‚Äì1312, 2016. [Link] [PDF] [Abstract] [BibTeX]
Sebastian Stabinger, Antonio Rodríguez-Sánchez, Justus Piater, Monocular Obstacle Avoidance for Blind People using Probabilistic Focus of Expansion Estimation. IEEE Winter Conference on Applications of Computer Vision, 2016. ¬©¬†IEEE [Link] [PDF] [Abstract] [BibTeX]
Sebastian Stabinger, Antonio Rodríguez-Sánchez, Justus Piater, Learning Abstract Classes using Deep Learning. The First International Workshop on Computational Models of the Visual Cortex, 2015. [Link] [arXiv] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Mazyar Fallah, Ales Leonardis, Hierarchical object representations in the visual cortex and computer vision . Frontiers in Computational Neuroscience 9 (142), 2015. [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Sandor Szedmak, Justus Piater, SCurV: A 3D Descriptor for Object Classification. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.¬†1320‚Äì1327, 2015. ¬©¬†IEEE [Link] [PDF] [Abstract] [BibTeX]
Hanchen Xiong, Antonio Rodríguez-Sánchez, Sandor Szedmak, Justus Piater, Diversity priors for learning early visual features. Frontiers in Computational Neuroscience 9 (104), 2015. [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Sabrina Fontanella, Justus Piater, Sandor Szedmak, IIS at ImageCLEF 2015: Multi-label classification task. Conference and Labs of the Evaluation Forum, 2015. [Link] [PDF] [Abstract] [BibTeX]
Thomas Hoyoux, Antonio Rodríguez-Sánchez, Justus Piater, Sandor Szedmak, Can Computer Vision Problems Benefit from Structured Hierarchical Classification?. Computer Analysis of Images and Patterns, pp.¬†403‚Äì414, 2015. Springer LNCS 9257. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
Safoura Rezapour Lakani, Mirela Popa, Antonio Rodríguez-Sánchez, Justus Piater, CPS: 3D Compositional Part Segmentation through Grasping. 12th Conference on Computer and Robot Vision, pp.¬†117‚Äì124, 2015. Best Robotic Vision Paper Award. ¬©¬†IEEE [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Heiko Neumann, Justus Piater, Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects.. K√ºnstliche Intelligenz 29, pp.¬†19‚Äì29, 2015. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Justus Piater, Models of the Visual Cortex for Object Representation: Learning and Wired Approaches. In: Lucio Grandinetti, Thomas Lippert, Nicolai Petkov (editors), Brain-Inspired Computing, pp.¬†51‚Äì62, 2014 (BrainComp 2013). Springer LNCS 8603. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
Safoura Rezapour-Lakani, Mirela Popa, Antonio J. Rodríguez-Sánchez, Justus Piater, Scale-Invariant, Unsupervised Part Decomposition of 3D Objects. Parts and Attributes, 2014 (Workshop at ECCV). Extended Abstract. [Link] [PDF] [BibTeX]
George Azzopardi, Antonio Rodríguez-Sánchez, Justus Piater, Nicolai Petkov, A computational model of push-pull inhibition of simple cells with application to contour detection. Perception ECVP Abstract Supplement, p.¬†163, 2014 (European Conference on Visual Perception). Extended Abstract. [Link] [Abstract] [BibTeX]
Hanchen Xiong, Sandor Szedmak, Antonio Rodríguez-Sánchez, Justus Piater, Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. 24th International Conference on Artificial Neural Networks, pp.¬†419‚Äì426, 2014. Springer LNCS. ¬©¬†Springer-Verlag [Link] [PDF] [Abstract] [BibTeX]
George Azzopardi, Antonio Rodríguez-Sánchez, Justus Piater, Nicolai Petkov, A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detection. PLoS ONE 9 (7), 2014. [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, Gregory Dudek, John Tsotsos, Detecting, Representing and Attending to Visual Shape. In: Sven Dickinson, Zygmunt Pizlo (editors), Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective, pp.¬†429‚Äì442, 2013. Springer Advances in Computer Vision and Pattern Recognition. ¬©¬†Springer-Verlag [home] [Link] [PDF] [Abstract] [BibTeX]
Norbert Krüger, Peter Janssen, Sinan Kalkan, Markus Lappe, Ales Leonardis, Justus Piater, Antonio Rodríguez-Sánchez, Laurenz Wiskott, Deep Hierarchies in the Primate Visual Cortex: What Can We Learn For Computer Vision?. IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (8), pp.¬†1847‚Äì1871, 2013. ¬©¬†IEEE [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, John Tsotsos, The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape. PLoS ONE 7 (8), 2012. [Link] [PDF] [Abstract] [BibTeX]
Antonio Rodríguez-Sánchez, John Tsotsos, The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape. In: M. Pomplun, J. Suzuki (editors), Developing and Applying Biologically-inspired Vision Systems: Interdisciplinary concepts, pp.¬†184‚Äì207, 2012. [Link] [PDF] [Abstract] [BibTeX]
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