Feature Conjunctions in Visual Search. - Antonio Jose Rodríguez-Sánchez; Evgueni Simine; John K. Tsotsos (ICANN (2), 2006)

Different Binding Strategies for the Different Stages of Visual Recognition. - John K. Tsotsos; Antonio Jose Rodríguez-Sánchez; Albert L. Rothenstein; Evgueni Simine (BVAI, 2007)

Attention and Visual Search. - Antonio Jose Rodríguez-Sánchez; Evgueni Simine; John K. Tsotsos (Int. J. Neural Syst., 2007)

Visual Feature Binding within the Selective Tuning Attention Framework. - Albert L. Rothenstein; Antonio Jose Rodríguez-Sánchez; Evgueni Simine; John K. Tsotsos (Int. J. Pattern Recognit. Artif. Intell., 2008)

The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations. - Antonio Jose Rodríguez-Sánchez; John K. Tsotsos (CVPR, 2011)

Detecting, Representing and Attending to Visual Shape. - Antonio Jose Rodríguez-Sánchez; Gregory Dudek; John K. Tsotsos (Shape Perception in Human and Computer Vision, 2013)

Models of the Visual Cortex for Object Representation: Learning and Wired Approaches. - Antonio Jose Rodríguez-Sánchez; Justus H. Piater (BrainComp, 2013)

Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013 - Justus H. Piater; Antonio Jose Rodríguez-Sánchez (CoRR, 2013)

ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition - Justus H. Piater; Antonio Jose Rodríguez-Sánchez (CoRR, 2013)

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? - Norbert Krüger; Peter Janssen; Sinan Kalkan; Markus Lappe; Ales Leonardis; Justus H. Piater; Antonio Jose Rodríguez-Sánchez; Laurenz Wiskott (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. - Hanchen Xiong; Sándor Szedmák; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (ICANN, 2014)

Learning Abstract Classes using Deep Learning. - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (BICT, 2015)

Can Computer Vision Problems Benefit from Structured Hierarchical Classification? - Thomas Hoyoux; Antonio Jose Rodríguez-Sánchez; Justus H. Piater; Sándor Szedmák (CAIP (2), 2015)

IIS at ImageCLEF 2015: Multi-label Classification Task. - Antonio Jose Rodríguez-Sánchez; Sabrina Fontanella; Justus H. Piater; Sándor Szedmák (CLEF (Working Notes), 2015)

CPS: 3D Compositional Part Segmentation through Grasping. - Safoura Rezapour Lakani; Mirela Popa; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CRV, 2015)

SCurV: A 3D descriptor for object classification. - Antonio Jose Rodríguez-Sánchez; Sándor Szedmák; Justus H. Piater (IROS, 2015)

Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision. - Antonio Jose Rodríguez-Sánchez; Mazyar Fallah; Ales Leonardis (Frontiers Comput. Neurosci., 2015)

Diversity priors for learning early visual features. - Hanchen Xiong; Antonio Jose Rodríguez-Sánchez; Sándor Szedmák; Justus H. Piater (Frontiers Comput. Neurosci., 2015)

Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. - Antonio Jose Rodríguez-Sánchez; Heiko Neumann; Justus H. Piater (Künstliche Intell., 2015)

Kronecker Decomposition for Image Classification. - Sabrina Fontanella; Antonio Jose Rodríguez-Sánchez; Justus H. Piater; Sándor Szedmák (CLEF, 2016)

Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. - Antonio Jose Rodríguez-Sánchez; Sabine Oberleiter; Hanchen Xiong; Justus H. Piater (ICANN (2), 2016)

25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (ICANN (2), 2016)

Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (WACV, 2016)

Can computer vision problems benefit from structured hierarchical classification? - Thomas Hoyoux; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Mach. Vis. Appl., 2016)

Evaluation of Deep Learning on an Abstract Image Classification Dataset. - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (ICCV Workshops, 2017)

A deep learning approach for detecting and correcting highlights in endoscopic images. - Antonio Jose Rodríguez-Sánchez; Daly Chea; George Azzopardi; Sebastian Stabinger (IPTA, 2017)

Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? - Safoura Rezapour Lakani; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (WACV, 2017)

Guided Labeling using Convolutional Neural Networks. - Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (CoRR, 2017)

ISLES Challenge: U-Shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation. - Alzbeta Tureckova; Antonio Jose Rodríguez-Sánchez (BrainLes@MICCAI (1), 2018)

Training Deep Capsule Networks. - David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (CoRR, 2018)

Exercising Affordances of Objects: A Part-Based Approach. - Safoura Rezapour Lakani; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (IEEE Robotics Autom. Lett., 2018)

Evaluating CNNs on the Gestalt Principle of Closure. - Gregor Ehrensperger; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (ICANN (1), 2019)

Capsule Networks for Attention Under Occlusion. - Antonio Jose Rodríguez-Sánchez; Tobias Dick (ICANN (Workshop), 2019)

Towards affordance detection for robot manipulation using affordance for parts and parts for affordance. - Safoura Rezapour Lakani; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Auton. Robots, 2019)

Limitations of routing-by-agreement based capsule networks. - David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (CoRR, 2019)

Deconvolution of Image Sequences with a Learning FFT-based Approach. - Iaroslav Koshelev; Andrey Somov; Stamatios Lefkimmiatis; Antonio Jose Rodríguez-Sánchez (ISIE, 2020)

Plant Growth Prediction through Intelligent Embedded Sensing. - Sergey Nesteruk; Dmitrii Shadrin; Vladislav Kovalenko; Antonio Jose Rodríguez-Sánchez; Andrey Somov (ISIE, 2020)

Evaluating the Progress of Deep Learning for Visual Relational Concepts. - Sebastian Stabinger; Justus H. Piater; Antonio Jose Rodríguez-Sánchez (CoRR, 2020)

Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates. - Alzbeta Tureckova; Tomás Turecek; Zuzana Komínková Oplatková; Antonio Jose Rodríguez-Sánchez (Frontiers Robotics AI, 2020)

A robust contour detection operator with combined push-pull inhibition and surround suppression. - Damiano Melotti; Kevin Heimbach; Antonio Jose Rodríguez-Sánchez; Nicola Strisciuglio; George Azzopardi (Inf. Sci., 2020)

Training Deep Capsule Networks with Residual Connections. - Josef Gugglberger; David Peer; Antonio Jose Rodríguez-Sánchez (ICANN (1), 2021)

Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. - David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (WACV, 2021)

Auto-tuning of Deep Neural Networks by Conflicting Layer Removal. - David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (CoRR, 2021)

Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. - David Peer; Sebastian Stabinger; Stefan Engl; Antonio Jose Rodríguez-Sánchez (CoRR, 2021)

Arguments for the unsuitability of convolutional neural networks for non-local tasks. - Sebastian Stabinger; David Peer; Antonio Jose Rodríguez-Sánchez (Neural Networks, 2021)

Limitation of capsule networks. - David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (Pattern Recognit. Lett., 2021)

conflicting_bundle.py - A python module to identify problematic layers in deep neural networks. - David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (Softw. Impacts, 2021)

Affordance detection with Dynamic-Tree Capsule Networks. - Antonio Jose Rodríguez-Sánchez; Simon Haller-Seeber; David Peer; Chris Engelhardt; Jakob Mittelberger; Matteo Saveriano (Humanoids, 2022)

Deep Learning for Fast Segmentation of E-waste Devices' Inner Parts in a Recycling Scenario. - Cristof Rojas; Antonio Jose Rodríguez-Sánchez; Erwan Renaudo (ICPRAI (1), 2022)

Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules. - Chris Engelhardt; Jakob Mittelberger; David Peer; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (IPAS, 2022)

Evaluating Attention in Convolutional Neural Networks for Blended Images. - Andrea Portscher; Sebastian Stabinger; Antonio Jose Rodríguez-Sánchez (IPAS, 2022)

Continual Learning from Demonstration of Robotic Skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2022)

Greedy-layer pruning: Speeding up transformer models for natural language processing. - David Peer; Sebastian Stabinger; Stefan Engl; Antonio Jose Rodríguez-Sánchez (Pattern Recognit. Lett., 2022)

Momentum Capsule Networks. - Josef Gugglberger; Antonio Jose Rodríguez-Sánchez; David Peer (Trans. Mach. Learn. Res., 2022)

Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. - David Peer; Bart Keulen; Sebastian Stabinger; Justus H. Piater; Antonio Jose Rodríguez-Sánchez (Trans. Mach. Learn. Res., 2022)

Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (CoRR, 2023)

Continual learning from demonstration of robotics skills. - Sayantan Auddy; Jakob J. Hollenstein; Matteo Saveriano; Antonio Jose Rodríguez-Sánchez; Justus H. Piater (Robotics Auton. Syst., 2023)