Stabinger, Sebastian

4 publications

TMLR 2022 Improving the Trainability of Deep Neural Networks Through Layerwise Batch-Entropy Regularization David Peer, Bart Keulen, Sebastian Stabinger, Justus Piater, Antonio Rodriguez-sanchez

WACV 2021 Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez

ICCVW 2017 Evaluation of Deep Learning on an Abstract Image Classification Dataset Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez

WACV 2016 Monocular Obstacle Avoidance for Blind People Using Probabilistic Focus of Expansion Estimation Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater