| 2026 | AAAI | Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. | Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodrguez-Snchez, Justus H. Piater |
| 2021 | ICANN | Training Deep Capsule Networks with Residual Connections. | Josef Gugglberger, David Peer, Antonio Jose Rodrguez-Snchez |
| 2021 | WACV | Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. | David Peer, Sebastian Stabinger, Antonio Jose Rodrguez-Snchez |
| 2019 | ICANN | Evaluating CNNs on the Gestalt Principle of Closure. | Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodrguez-Snchez |
| 2019 | ICANN | Capsule Networks for Attention Under Occlusion. | Antonio Jose Rodrguez-Snchez, Tobias Dick |
| 2018 | MICCAI | ISLES Challenge: U-Shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation. | Alzbeta Tureckova, Antonio Jose Rodrguez-Snchez |
| 2017 | WACV | Can Affordances Guide Object Decomposition into Semantically Meaningful Parts? | Safoura Rezapour Lakani, Antonio Jose Rodrguez-Snchez, Justus H. Piater |
| 2016 | ICANN | Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. | Antonio Jose Rodrguez-Snchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater |
| 2016 | ICANN | 25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? | Sebastian Stabinger, Antonio Jose Rodrguez-Snchez, Justus H. Piater |
| 2016 | WACV | Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. | Sebastian Stabinger, Antonio Jose Rodrguez-Snchez, Justus H. Piater |
| 2015 | CAIP | Can Computer Vision Problems Benefit from Structured Hierarchical Classification? | Thomas Hoyoux, Antonio Jose Rodrguez-Snchez, Justus H. Piater, Sndor Szedmk |
| 2015 | IROS | SCurV: A 3D descriptor for object classification. | Antonio Jose Rodrguez-Snchez, Sndor Szedmk, Justus H. Piater |
| 2014 | ICANN | Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. | Hanchen Xiong, Sndor Szedmk, Antonio Jose Rodrguez-Snchez, Justus H. Piater |
| 2011 | CVPR | The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations. | Antonio Jose Rodrguez-Snchez, John K. Tsotsos |
| 2006 | ICANN | Feature Conjunctions in Visual Search. | Antonio Jose Rodrguez-Snchez, Evgueni Simine, John K. Tsotsos |