Sebastian Stabinger

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Convolutional Neural Networks

Sentiment Classification

Endoscopic Images

Top Venues

Pattern Recognit. Lett.

Publications

David Peer, Philemon Schöpf, Volckmar Nebendahl, Alexander Rietzler, Sebastian Stabinger
ANLS* - A Universal Document Processing Metric for Generative Large Language Models. CoRR (2024)
Andrea Portscher, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluating Attention in Convolutional Neural Networks for Blended Images. 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. CoRR (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)
Andreas Ganser, Bernhard Hollaus, Sebastian Stabinger
Classification of Tennis Shots with a Neural Network Approach. Sensors 21 (17) (2021)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Limitation of capsule networks. Pattern Recognit. Lett. 144 (2021)
David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. CoRR (2021)
Nora Hofer, Pascal Schöttle, Alexander Rietzler, Sebastian Stabinger
Adversarial Examples Against a BERT ABSA Model - Fooling Bert With L33T, Misspellign, and Punctuation, . ARES (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)
Alexander Rietzler, Sebastian Stabinger, Paul Opitz, Stefan Engl
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. LREC (2020)
Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez
Evaluating the Progress of Deep Learning for Visual Relational Concepts. CoRR (2020)
Bernhard Hollaus, Sebastian Stabinger, Andreas H. Mehrle, Christian Raschner
Using Wearable Sensors and a Convolutional Neural Network for Catch Detection in American Football. Sensors 20 (23) (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)
Alexander Rietzler, Sebastian Stabinger, Paul Opitz, Stefan Engl
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. CoRR (2019)
Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Evaluating CNNs on the Gestalt Principle of Closure. CoRR (2019)
David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez
Training Deep Capsule Networks. CoRR (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)
Simon Hangl, Sebastian Stabinger, Justus H. Piater
Autonomous Skill-centric Testing using Deep Learning. 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)
Simon Hangl, Sebastian Stabinger, Justus H. Piater
Autonomous skill-centric testing using deep learning. IROS (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)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? ICANN (2) (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
25 years of CNNs: Can we compare to human abstraction capabilities? CoRR (2016)
Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Learning Abstract Classes using Deep Learning. BICT (2015)
Kerstin Fischer, Lars Christian Jensen, Franziska Kirstein, Sebastian Stabinger, Özgür Erkent, Dadhichi Shukla, Justus H. Piater
The Effects of Social Gaze in Human-Robot Collaborative Assembly. ICSR (2015)