| Modern imaging techniques in plant nutrition analysis: A review D Li, C Li, Y Yao, M Li, L Liu Computers and Electronics in Agriculture 174, 105459, 2020 | 57 | 2020 |
| Visual distant supervision for scene graph generation Y Yao, A Zhang, X Han, M Li, C Weber, Z Liu, S Wermter, M Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 40 | 2021 |
| Generating steganographic image description by dynamic synonym substitution M Li, K Mu, P Zhong, J Wen, Y Xue Signal Processing 164, 193-201, 2019 | 23 | 2019 |
| A novel natural language steganographic framework based on image description neural network J Wen, X Zhou, M Li, P Zhong, Y Xue Journal of Visual Communication and Image Representation 61, 157-169, 2019 | 19 | 2019 |
| Chat with the environment: Interactive multimodal perception using large language models X Zhao, M Li, C Weber, MB Hafez, S Wermter 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 18 | 2023 |
| Robotic occlusion reasoning for efficient object existence prediction M Li, C Weber, M Kerzel, JH Lee, Z Zeng, Z Liu, S Wermter 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 7 | 2021 |
| Internally Rewarded Reinforcement Learning M Li, X Zhao, JH Lee, C Weber, S Wermter Proceedings of the International Conference on Machine Learning (ICML) 202 …, 2023 | 6 | 2023 |
| Neural networks for detecting irrelevant questions during visual question answering M Li, C Weber, S Wermter International Conference on Artificial Neural Networks, 786-797, 2020 | 6 | 2020 |
| Enhancing zero-shot chain-of-thought reasoning in large language models through logic X Zhao, M Li, W Lu, C Weber, JH Lee, K Chu, S Wermter Joint International Conference on Computational Linguistics, Language …, 2023 | 4 | 2023 |
| Visually grounded commonsense knowledge acquisition Y Yao, T Yu, A Zhang, M Li, R Xie, C Weber, Z Liu, HT Zheng, S Wermter, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 6583-6592, 2023 | 3 | 2023 |
| Spatial relation learning in complementary scenarios with deep neural networks JH Lee, Y Yao, O Özdemir, M Li, C Weber, Z Liu, S Wermter Frontiers in Neurorobotics 16, 844753, 2022 | 3 | 2022 |
| Image steganalysis in high-dimensional feature spaces with proximal support vector machine P Zhong, M Li, K Mu, J Wen, Y Xue International Journal of Digital Crime and Forensics (IJDCF) 11 (1), 78-89, 2019 | 3 | 2019 |
| Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models K Chu, X Zhao, C Weber, M Li, S Wermter 7th Conference on Robot Learning Workshop (CoRL 2023 Workshop), 2023 | 2 | 2023 |
| A Closer Look at Reward Decomposition for High-Level Robotic Explanations W Lu, X Zhao, S Magg, M Gromniak, M Li, S Wermter IEEE International Conference on Development and Learning (ICDL 2023), 2023 | 2 | 2023 |
| Large Language Models for Orchestrating Bimanual Robots K Chu, X Zhao, C Weber, M Li, W Lu, S Wermter arXiv preprint arXiv:2404.02018, 2024 | | 2024 |
| Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs S Yang, J Su, H Jiang, M Li, K Cheng, MA Ali, L Hu, D Wang arXiv preprint arXiv:2404.00486, 2024 | | 2024 |
| Causal State Distillation for Explainable Reinforcement Learning W Lu, X Zhao, T Fryen, JH Lee, M Li, S Magg, S Wermter Causal Learning and Reasoning, 106-142, 2024 | | 2024 |
| Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture X Sun, C Weber, M Kerzel, T Weber, M Li, S Wermter International Conference on Artificial Neural Networks, 258-269, 2022 | | 2022 |
Prof Dr Stefan WermterUniversity of HamburgVerified email at uni-hamburg.de
