Antonio Jose Rodríguez-Sánchez

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 55

Top Topics

Object Representations

Image Classification

Top Venues

Publications

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 (2023)
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 (2023)
Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
Affordance detection with Dynamic-Tree Capsule Networks. Humanoids (2022)
Josef Gugglberger, Antonio Jose Rodríguez-Sánchez, David Peer
Momentum Capsule Networks. Trans. Mach. Learn. Res. 2022 (2022)
Andrea Portscher, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluating Attention in Convolutional Neural Networks for Blended Images. IPAS (2022)
Antonio Jose Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
Affordance detection with Dynamic-Tree Capsule Networks. CoRR (2022)
Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez
Momentum Capsule Networks. CoRR (2022)
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 (2022)
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)
Chris Engelhardt, Jakob Mittelberger, David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules. IPAS (2022)
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)
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 (2022)
Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez
Arguments for the Unsuitability of Convolutional Neural Networks for Non-Local Tasks. CoRR (2021)
Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez
Arguments for the unsuitability of convolutional neural networks for non-local tasks. Neural Networks 142 (2021)
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 (2021)
Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez
Training Deep Capsule Networks with Residual Connections. CoRR (2021)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Limitation of capsule networks. Pattern Recognit. Lett. 144 (2021)
Josef Gugglberger, David Peer, Antonio Jose Rodríguez-Sánchez
Training Deep Capsule Networks with Residual Connections. ICANN (1) (2021)
David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. CoRR (2021)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. WACV (2021)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Auto-tuning of Deep Neural Networks by Conflicting Layer Removal. CoRR (2021)
Sergey Nesteruk, Dmitrii Shadrin, Vladislav Kovalenko, Antonio Jose Rodríguez-Sánchez, Andrey Somov
Plant Growth Prediction through Intelligent Embedded Sensing. ISIE (2020)
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 (2020)
Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
Evaluating the Progress of Deep Learning for Visual Relational Concepts. CoRR (2020)
Iaroslav Koshelev, Andrey Somov, Stamatios Lefkimmiatis, Antonio Jose Rodríguez-Sánchez
Deconvolution of Image Sequences with a Learning FFT-based Approach. ISIE (2020)
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 (2020)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. CoRR (2020)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Limitations of routing-by-agreement based capsule networks. CoRR (2019)
Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluating CNNs on the Gestalt Principle of Closure. ICANN (1) (2019)
Antonio Jose Rodríguez-Sánchez, Tobias Dick
Capsule Networks for Attention Under Occlusion. ICANN (Workshop) (2019)
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) (2019)
Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluating CNNs on the Gestalt Principle of Closure. CoRR (2019)
Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Exercising Affordances of Objects: A Part-Based Approach. IEEE Robotics Autom. Lett. 3 (4) (2018)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Training Deep Capsule Networks. CoRR (2018)
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)
Antonio Jose Rodríguez-Sánchez, Daly Chea, George Azzopardi, Sebastian Stabinger
A deep learning approach for detecting and correcting highlights in endoscopic images. IPTA (2017)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluation of Deep Learning on an Abstract Image Classification Dataset. CoRR (2017)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluation of Deep Learning on an Abstract Image Classification Dataset. ICCV Workshops (2017)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Guided Labeling using Convolutional Neural Networks. CoRR (2017)
Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? WACV (2017)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Learning Abstract Classes using Deep Learning. CoRR (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. WACV (2016)
Sabrina Fontanella, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák
Kronecker Decomposition for Image Classification. CLEF (2016)
Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. ICANN (2) (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? ICANN (2) (2016)
Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Can computer vision problems benefit from structured hierarchical classification? Mach. Vis. Appl. 27 (8) (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
25 years of CNNs: Can we compare to human abstraction capabilities? CoRR (2016)
Thomas Hoyoux, Antonio Jose Rodríguez-Sánchez, Justus H. Piater, Sándor Szedmák
Can Computer Vision Problems Benefit from Structured Hierarchical Classification? CAIP (2) (2015)
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) (2015)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Learning Abstract Classes using Deep Learning. BICT (2015)
Antonio Jose Rodríguez-Sánchez, Mazyar Fallah, Ales Leonardis
Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision. Frontiers Comput. Neurosci. 9 (2015)
Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater
SCurV: A 3D descriptor for object classification. IROS (2015)
Safoura Rezapour Lakani, Mirela Popa, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
CPS: 3D Compositional Part Segmentation through Grasping. CRV (2015)
Antonio Jose Rodríguez-Sánchez, Sabrina Fontanella, Justus H. Piater, Sándor Szedmák
IIS at ImageCLEF 2015: Multi-label Classification Task. CLEF (Working Notes) (2015)
Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater
Diversity priors for learning early visual features. Frontiers Comput. Neurosci. 9 (2015)
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)
Justus H. Piater, Antonio Jose Rodríguez-Sánchez
Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013 CoRR (2013)
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) (2013)
Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Models of the Visual Cortex for Object Representation: Learning and Wired Approaches. BrainComp (2013)
Justus H. Piater, Antonio Jose Rodríguez-Sánchez
ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition CoRR (2013)
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)
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) (2008)
John K. Tsotsos, Antonio Jose Rodríguez-Sánchez, Albert L. Rothenstein, Evgueni Simine
Different Binding Strategies for the Different Stages of Visual Recognition. BVAI (2007)
Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos
Attention and Visual Search. Int. J. Neural Syst. 17 (4) (2007)
Antonio Jose Rodríguez-Sánchez, Evgueni Simine, John K. Tsotsos
Feature Conjunctions in Visual Search. ICANN (2) (2006)