Wermter's publications with Knowledge Technology

Adapting the Interplay between Personalized and Generalized Affect Recognition based on an Unsupervised Neural Framework

Pablo Barros, Emilia Barakova, Stefan Wermter

IEEE Transactions on Affective Computing, Volume 13(3), pages 1349-1365, doi:10.1109/TAFFC.2020.3002657 - Nov 2022. Open Access

Visually Grounded Commonsense Knowledge Acquisition

Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

arXiv, doi:10.48550/arXiv.2211.12054 - Nov 2022. Open Access

Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot

Nicolas Duczek, Matthias Kerzel, Philipp Allgeuer, Stefan Wermter

Frontiers in Robotics and AI, Volume 9, doi:10.3389/frobt.2022.669719 - Oct 2022. Open Access

Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework

Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter

arXiv:2004.09705 - Sep 2022.

Language Model-Based Paired Variational Autoencoders for Robotic Language Learning

Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter

IEEE Transactions on Cognitive and Developmental Systems, doi:10.1109/TCDS.2022.3204452 - Sep 2022. Open Access

Learning Flexible Translation between Robot Actions and Language Descriptions

Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter

Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), pages 246--257, doi:10.1007/978-3-031-15931-2_21 - Sep 2022. Open Access

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture

Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter

Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), pages 258--269, doi:10.1007/978-3-031-15931-2_22 - Sep 2022.

LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading

Leyuan Qu, Cornelius Weber, Stefan Wermter

IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2022.3191677 - Sep 2022. Open Access

More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning

Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, Stefan Wermter

Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), pages 417--428, doi:10.1007/978-3-031-15934-3_35 - Sep 2022.

NeoSLAM: Neural Object SLAM for Loop Closure and Navigation

Younès Raoui, Cornelius Weber, Stefan Wermter

Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), pages 443--455, doi:10.1007/978-3-031-15934-3_37 - Sep 2022.

Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping

Connor Gaede, Matthias Kerzel, Erik Strahl, Stefan Wermter

Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), pages 342--354, doi:10.1007/978-3-031-15919-0_29 - Sep 2022.

Word-by-Word Generation of Visual Dialog using Reinforcement Learning

Yuliia Lysa, Cornelius Weber, Dennis Becker, Stefan Wermter

Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), pages 123--135, doi:10.1007/978-3-031-15931-2_11 - Sep 2022.

Explain yourself! Effects of Explanations in Human-Robot Interaction

Jakob Ambsdorf, Alina Munir, Yiyao Wei, Klaas Degkwitz, Harm Matthias Harms, Susanne Stannek, Kyra Ahrens, Dennis Becker, Erik Strahl, Tom Weber, Stefan Wermter

2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pages 393 -- 400, doi:10.1109/RO-MAN53752.2022.9900558 - Aug 2022.

What’s on Your Mind, NICO? XHRI: A Framework for eXplainable Human-Robot Interaction

Matthias Kerzel, Jakob Ambsdorf, Dennis Becker, Wenhao Lu, Erik Strahl, Josua Spisak, Connor Gaede, Tom Weber, Stefan Wermter

KI - Künstliche Intelligenz, pages 1--18, doi:https://doi.org/10.1007/s13218-022-00772-8 - Aug 2022. Open Access

Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning

Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter

IJCAI Workshop on Spatio-Temporal Reasoning and Learning - Jul 2022.

Spatial relation learning in complementary scenarios with deep neural networks

Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter

Frontiers in Neurorobotics, doi:10.3389/fnbot.2022.844753 - Jul 2022. Open Access

Go Ahead and Do not Forget: Modular Lifelong Learning from Event-based Data

Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter

Neurocomputing, Volume 500, pages 1063-1074, doi:10.1016/j.neucom.2022.05.101 - Jun 2022. Open Access

Survey on reinforcement learning for language processing

Victor Uc-Cetina, Nicolás Navarro-Guerrero, Anabel Martin-Gonzalez, Cornelius Weber, Stefan Wermter

Artificial Intelligence Review, doi:10.1007/s10462-022-10205-5 - Jun 2022. Open Access

A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning

Gerald Schwiebert, Cornelius Weber, Leyuan Qu, Henrique Siqueira, Stefan Wermter

LREC - 13th Conference on Language Resources and Evaluation Palais du Pharo - Marseille, June 20-25, 2022, doi:- https://arxiv.org/abs/2202.13403 - May 2022.

Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts

Chandrakant Bothe, Stefan Wermter

LREC - 13th Conference on Language Resources and Evaluation Palais du Pharo - Marseille, June 20-25, 2022, doi:- https://arxiv.org/abs/2205.02921 - May 2022.