Wermter's publications with Knowledge Technology

Improved Techniques for Training Single-Image GANs

Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter

Winter Conference on Applications of Computer Vision - Jan 2021.

Best Paper Award: Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario

Emy Arts, Sebastian Zörner, Kavish Bhatia, Glareh Mir, Florian Schmalzl, Ankit Srivastava, Brenda Vasiljevic, Tayfun Alpay, Annika Peters, Erik Strahl, Stefan Wermter

Proceedings of the 8th International Conference on Human-Agent Interaction (HAI '20), pages 121--130, doi:10.1145/3406499.3415078 - Nov 2020. Open Access

Multichannel Recurrent Kernel Machines for Robot Episodic-Semantic Map Building

Wei Chin, Chu Kiong Loo, Stefan Wermter

1st SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) workshop, ICDL 2020 - Nov 2020.

Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits

Antonio Andriella, Henrique Siqueira, Di Fu, Sven Magg, Pablo Barros, Stefan Wermter, Carme Torras, Guillem Alenyà

International Journal of Social Robotics, doi:10.1007/s12369-020-00690-5 - Oct 2020. Open Access

Multimodal Target Speech Separation with Voice and Face References

Leyuan Qu, Cornelius Weber, Stefan Wermter

INTERSPEECH2020 - Oct 2020. Open Access

Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study

Doreen Jirak, Stephan Tietz, Hassan Ali, Stefan Wermter

Cognitive Computation, doi:10.1007/s12559-020-09754-0 - Jul 2020. Open Access

Integrating Image-based and Knowledge-based Representation Learning

Ruobing Xie, Stefan Heinrich, Zhiyuan Liu, Cornelius Weber, Yuan Yao, Stefan Wermter, Maosong Sun

IEEE Transactions on Cognitive and Developmental Systems, Volume 12, Number 2, pages 169--178, doi:10.1109/TCDS.2019.2906685 - Apr 2020. Open Access

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Henrique Siqueira, Sven Magg, Stefan Wermter

The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pages 1--1 - Feb 2020. Open Access

Understanding auditory representations of emotional expressions with neural networks

Iris Wieser, Pablo Barros, Stefan Heinrich, Stefan Wermter

Neural Computing and Applications, Volume 32, Number 4, pages 1007–1022, doi:10.1007/s00521-018-3869-3 - Feb 2020. Open Access

Crossmodal Language Grounding in an Embodied Neurocognitive Model

Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter

Frontiers in Neurorobotics, doi:10.3389/fnbot.2020.00052 - 2020.

Curious Hierarchical Actor-Critic Reinforcement Learning

Frank Röder, Manfred Eppe, D.H. Phuong Nguyen, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2020, pages 408--419 - 2020. Open Access

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of The 12th Language Resources and Evaluation Conference (LREC 2020), pages 620--627, doi:https://www.aclweb.org/anthology/2020.lrec-1.78 - 2020. Open Access

Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination

Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter

Robotics and Autonomous Systems, Volume 133, pages 103630, doi:10.1016/j.robot.2020.103630 - 2020. Open Access

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning

Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - 2020.

Neural Networks for Detecting Irrelevant Questions during Visual Question Answering

Mengdi Li, Cornelius Weber, Stefan Wermter

International Conference on Artificial Neural Networks (ICANN), Volume LNCS 12397, pages 786-797 - 2020.

Neuro-Genetic Visuomotor Architecture for Robotic Grasping

Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter

Artificial Neural Networks and Machine Learning – ICANN 2020, pages 533-545 - 2020.

New Results on Sparse Autoencoders for Posture Classification and Segmentation

Doreen Jirak, Stefan Wermter

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN’20), pages 187--192 - 2020.

Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition

Gin Chong Lee, Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN’20), pages 591--596 - 2020.

Semantic Object Accuracy for Generative Text-to-Image Synthesis

Tobias Hinz, Stefan Heinrich, Stefan Wermter

Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2020.3021209 - 2020. Open Access

Solving visual object ambiguities when pointing: an unsupervised learning approach

Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter

Neural Computing and Applications, doi:https://doi.org/10.1007/s00521-020-05109-w - 2020. Open Access