Scene graph reasoning for visual question answering M Hildebrandt, H Li, R Koner, V Tresp, S Günnemann ICML 2020: GRL+, 2020 | 62 | 2020 |
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering R Koner, H Li, M Hildebrandt, D Das, V Tresp, S Günnemann International Semantic Web Conference, 111-127, 2021 | 25 | 2021 |
Do DALL-E and Flamingo Understand Each Other? H Li, J Gu, R Koner, S Sharifzadeh, V Tresp Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
On calibration of graph neural networks for node classification T Liu, Y Liu, M Hildebrandt, M Joblin, H Li, V Tresp 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 7 | 2022 |
The tensor brain: A unified theory of perception, memory, and semantic decoding V Tresp, S Sharifzadeh, H Li, D Konopatzki, Y Ma Neural Computation 35 (2), 156-227, 2023 | 2 | 2023 |
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining U Sahin, H Li, Q Khan, D Cremers, V Tresp Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
Self-discovering interpretable diffusion latent directions for responsible text-to-image generation H Li, C Shen, P Torr, V Tresp, J Gu arXiv preprint arXiv:2311.17216, 2023 | 1 | 2023 |
Biologically Inspired Neural Path Finding H Li, Q Khan, V Tresp, D Cremers International Conference on Brain Informatics, 329-342, 2022 | | 2022 |