Mengdi Li
Mengdi Li
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Zitiert von
Zitiert von
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
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
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
Generating steganographic image description by dynamic synonym substitution
M Li, K Mu, P Zhong, J Wen, Y Xue
Signal Processing 164, 193-201, 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
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
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
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
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
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
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
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
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
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
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
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
L Hu, L Liu, S Yang, X Chen, H Xiao, M Li, P Zhou, MA Ali, D Wang
arXiv preprint arXiv:2406.12255, 2024
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
Causal State Distillation for Explainable Reinforcement Learning
W Lu, X Zhao, T Fryen, JH Lee, M Li, S Magg, S Wermter
The Conference on Causal Learning and Reasoning (CLeaR), 106-142, 2024
Active Vision for Embodied Agents Using Reinforcement Learning
M Li
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 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
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