Wermter, Stefan

25 publications

TMLR 2025 Mental Modelling of Reinforcement Learning Agents by Language Models Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter
WACV 2025 Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion Philipp Allgeuer, Kyra Ahrens, Stefan Wermter
CLeaR 2024 Causal State Distillation for Explainable Reinforcement Learning Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter
ECCVW 2024 Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter
TMLR 2024 Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter
ICML 2023 Internally Rewarded Reinforcement Learning Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
AAAI 2023 Visually Grounded Commonsense Knowledge Acquisition Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun
WACV 2022 CharacterGAN: Few-Shot Keypoint Character Animation and Reposing Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter
IJCAI 2022 What Is Right for Me Is Not yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter
IJCAI 2021 GASP: Gated Attention for Saliency Prediction Fares Abawi, Tom Weber, Stefan Wermter
WACV 2021 Improved Techniques for Training Single-Image GANs Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter
ICCV 2021 Visual Distant Supervision for Scene Graph Generation Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun
AAAI 2020 Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks Henrique Siqueira, Sven Magg, Stefan Wermter
CVPRW 2019 A Neurorobotic Experiment for Crossmodal Conflict Resolution German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter
ICML 2019 A Personalized Affective Memory Model for Improving Emotion Recognition Pablo Barros, German Parisi, Stefan Wermter
ICLR 2019 Generating Multiple Objects at Spatially Distinct Locations Tobias Hinz, Stefan Heinrich, Stefan Wermter
AAAI 2014 Improving Domain-Independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing Johannes Twiefel, Timo Baumann, Stefan Heinrich, Stefan Wermter
IJCAI 2013 Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data Johannes Bauer, Stefan Wermter
IJCAI 2005 Training Without Data: Knowledge Insertion into RBF Neural Networks Kenneth McGarry, Stefan Wermter
IJCAI 2001 Knowledge Extraction from Local Function Networks Kenneth McGarry, Stefan Wermter, John MacIntyre
AAAI 1999 Hybrid Neural Plausibility Networks for News Agents Stefan Wermter, Christo Panchev, Garen Arevian
IJCAI 1999 Preference Moore Machines for Neural Fuzzy Integration Stefan Wermter
JAIR 1997 SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks Stefan Wermter, Volker Weber
AAAI 1994 Learning Fault-Tolerant Speech Parsing with SCREEN Stefan Wermter, Volker Weber
IJCAI 1989 Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation Stefan Wermter