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ORCIDAntonio Jose Rodríguez-Sánchez
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2020 – today
- 2023
[j18]Sayantan Auddy
, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual learning from demonstration of robotics skills. Robotics Auton. Syst. 165: 104427 (2023)- [i20]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. CoRR abs/2311.03600 (2023) - 2022
- [j17]David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez:
Greedy-layer pruning: Speeding up transformer models for natural language processing. Pattern Recognit. Lett. 157: 76-82 (2022) - [j16]Josef Gugglberger, Antonio Jose Rodríguez-Sánchez, David Peer:
Momentum Capsule Networks. Trans. Mach. Learn. Res. 2022 (2022) - [j15]David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. Trans. Mach. Learn. Res. 2022 (2022) - [c28]Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano:
Affordance detection with Dynamic-Tree Capsule Networks. Humanoids 2022: 873-879 - [c27]Cristof Rojas, Antonio Jose Rodríguez-Sánchez, Erwan Renaudo:
Deep Learning for Fast Segmentation of E-waste Devices' Inner Parts in a Recycling Scenario. ICPRAI (1) 2022: 161-172 - [c26]Chris Engelhardt, Jakob Mittelberger, David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules. IPAS 2022: 1-6 - [c25]Andrea Portscher, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating Attention in Convolutional Neural Networks for Blended Images. IPAS 2022: 1-6 - [i19]Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez:
Momentum Capsule Networks. CoRR abs/2201.11091 (2022) - [i18]Sayantan Auddy, Jakob J. Hollenstein, Matteo Saveriano, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Continual Learning from Demonstration of Robotic Skills. CoRR abs/2202.06843 (2022) - [i17]David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. CoRR abs/2208.01134 (2022) - [i16]Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano:
Affordance detection with Dynamic-Tree Capsule Networks. CoRR abs/2211.05200 (2022) - 2021
- [j14]Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez:
Arguments for the unsuitability of convolutional neural networks for non-local tasks. Neural Networks 142: 171-179 (2021) - [j13]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Limitation of capsule networks. Pattern Recognit. Lett. 144: 68-74 (2021) - [j12]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
conflicting_bundle.py - A python module to identify problematic layers in deep neural networks. Softw. Impacts 7: 100053 (2021) - [c24]Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez:
Training Deep Capsule Networks with Residual Connections. ICANN (1) 2021: 541-552 - [c23]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. WACV 2021: 256-265 - [e1]Matteo Saveriano, Erwan Renaudo, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Human-Friendly Robotics 2020 - 13th International Workshop, HFR 2020, Innsbruck, Austria, October 2020. Springer Proceedings in Advanced Robotics 18, Springer 2021, ISBN 978-3-030-71355-3 [contents] - [i15]Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez:
Arguments for the Unsuitability of Convolutional Neural Networks for Non-Local Tasks. CoRR abs/2102.11944 (2021) - [i14]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Auto-tuning of Deep Neural Networks by Conflicting Layer Removal. CoRR abs/2103.04331 (2021) - [i13]Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez:
Training Deep Capsule Networks with Residual Connections. CoRR abs/2104.07393 (2021) - [i12]David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez:
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. CoRR abs/2105.14839 (2021) - 2020
- [j11]Alzbeta Tureckova, Tomás Turecek, Zuzana Komínková Oplatková, Antonio Jose Rodríguez-Sánchez:
Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates. Frontiers Robotics AI 7: 106 (2020) - [j10]Damiano Melotti, Kevin Heimbach, Antonio Jose Rodríguez-Sánchez, Nicola Strisciuglio, George Azzopardi:
A robust contour detection operator with combined push-pull inhibition and surround suppression. Inf. Sci. 524: 229-240 (2020) - [c22]Sergey Nesteruk, Dmitrii Shadrin, Vladislav Kovalenko, Antonio Jose Rodríguez-Sánchez, Andrey Somov:
Plant Growth Prediction through Intelligent Embedded Sensing. ISIE 2020: 411-416 - [c21]Iaroslav Koshelev, Andrey Somov, Stamatios Lefkimmiatis, Antonio Jose Rodríguez-Sánchez:
Deconvolution of Image Sequences with a Learning FFT-based Approach. ISIE 2020: 1381-1386 - [i11]Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Evaluating the Progress of Deep Learning for Visual Relational Concepts. CoRR abs/2001.10857 (2020) - [i10]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. CoRR abs/2011.02956 (2020)
2010 – 2019
- 2019
- [j9]Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Towards affordance detection for robot manipulation using affordance for parts and parts for affordance. Auton. Robots 43(5): 1155-1172 (2019) - [c20]Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. ICANN (1) 2019: 296-301 - [c19]Antonio Jose Rodríguez-Sánchez, Tobias Dick:
Capsule Networks for Attention Under Occlusion. ICANN (Workshop) 2019: 523-534 - [i9]Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. CoRR abs/1904.00285 (2019) - [i8]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Limitations of routing-by-agreement based capsule networks. CoRR abs/1905.08744 (2019) - 2018
- [j8]Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Exercising Affordances of Objects: A Part-Based Approach. IEEE Robotics Autom. Lett. 3(4): 3465-3472 (2018) - [c18]Alzbeta Tureckova, Antonio Jose Rodríguez-Sánchez:
ISLES Challenge: U-Shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation. BrainLes@MICCAI (1) 2018: 319-327 - [i7]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Training Deep Capsule Networks. CoRR abs/1812.09707 (2018) - 2017
- [c17]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluation of Deep Learning on an Abstract Image Classification Dataset. ICCV Workshops 2017: 2767-2772 - [c16]Antonio Jose Rodríguez-Sánchez, Daly Chea, George Azzopardi, Sebastian Stabinger:
A deep learning approach for detecting and correcting highlights in endoscopic images. IPTA 2017: 1-6 - [c15]Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? WACV 2017: 82-90 - [i6]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluation of Deep Learning on an Abstract Image Classification Dataset. CoRR abs/1708.07770 (2017) - [i5]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Guided Labeling using Convolutional Neural Networks. CoRR abs/1712.02154 (2017) - 2016
- [j7]Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Can computer vision problems benefit from structured hierarchical classification? Mach. Vis. Appl. 27(8): 1299-1312 (2016) - [c14]Sabrina Fontanella, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák:
Kronecker Decomposition for Image Classification. CLEF 2016: 137-149 - [c13]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? ICANN (2) 2016: 380-387 - [c12]Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater:
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. ICANN (2) 2016: 463-471 - [c11]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. WACV 2016: 1-9 - [i4]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Learning Abstract Classes using Deep Learning. CoRR abs/1606.05506 (2016) - [i3]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 years of CNNs: Can we compare to human abstraction capabilities? CoRR abs/1607.08366 (2016) - 2015
- [j6]Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater:
Diversity priors for learning early visual features. Frontiers Comput. Neurosci. 9: 104 (2015) - [j5]Antonio Jose Rodríguez-Sánchez, Mazyar Fallah, Ales Leonardis:
Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision. Frontiers Comput. Neurosci. 9: 142 (2015) - [j4]Antonio Jose Rodríguez-Sánchez, Heiko Neumann, Justus H. Piater:
Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. Künstliche Intell. 29(1): 19-29 (2015) - [c10]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Learning Abstract Classes using Deep Learning. BICT 2015: 524-528 - [c9]Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák:
Can Computer Vision Problems Benefit from Structured Hierarchical Classification? CAIP (2) 2015: 403-414 - [c8]Antonio Jose Rodríguez-Sánchez, Sabrina Fontanella, Justus H. Piater, Sándor Szedmák:
IIS at ImageCLEF 2015: Multi-label Classification Task. CLEF (Working Notes) 2015 - [c7]Safoura Rezapour Lakani, Mirela Popa, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
CPS: 3D Compositional Part Segmentation through Grasping. CRV 2015: 117-124 - [c6]Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater:
SCurV: A 3D descriptor for object classification. IROS 2015: 1320-1327 - 2014
- [c5]Hanchen Xiong, Sándor Szedmák, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. ICANN 2014: 419-426 - 2013
- [j3]Norbert Krüger, Peter Janssen, Sinan Kalkan, Markus Lappe, Ales Leonardis, Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Laurenz Wiskott:
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1847-1871 (2013) - [c4]Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Models of the Visual Cortex for Object Representation: Learning and Wired Approaches. BrainComp 2013: 51-62 - [p1]Antonio Jose Rodríguez-Sánchez, Gregory Dudek, John K. Tsotsos:
Detecting, Representing and Attending to Visual Shape. Shape Perception in Human and Computer Vision 2013: 429-442 - [i2]Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013. CoRR abs/1304.1876 (2013) - [i1]Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition. CoRR abs/1305.5905 (2013) - 2011
- [c3]Antonio Jose Rodríguez-Sánchez, John K. Tsotsos:
The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations. CVPR 2011: 465-469
2000 – 2009
- 2008
- [j2]Albert L. Rothenstein, Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
Visual Feature Binding within the Selective Tuning Attention Framework. Int. J. Pattern Recognit. Artif. Intell. 22(5): 861-881 (2008) - 2007
- [j1]Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
Attention and Visual Search. Int. J. Neural Syst. 17(4): 275-288 (2007) - [c2]John K. Tsotsos, Antonio Jose Rodríguez-Sánchez, Albert L. Rothenstein, Evgueni Simine:
Different Binding Strategies for the Different Stages of Visual Recognition. BVAI 2007: 150-160 - 2006
- [c1]Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos:
Feature Conjunctions in Visual Search. ICANN (2) 2006: 498-507
Coauthor Index
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