| A systematic survey of prompt engineering on vision-language foundation models J Gu, Z Han, S Chen, A Beirami, B He, G Zhang, R Liao, Y Qin, V Tresp, ... arXiv preprint arXiv:2307.12980, 2023 | 148 | 2023 |
| Time-dependent entity embedding is not all you need: A re-evaluation of temporal knowledge graph completion models under a unified framework Z Han*, G Zhang*, Y Ma, V Tresp Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 23 | 2021 |
| Multi-event Video-Text Retrieval G Zhang, J Ren, J Gu, V Tresp Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| Cl-crossvqa: A continual learning benchmark for cross-domain visual question answering Y Zhang, H Chen, A Frikha, Y Yang, D Krompass, G Zhang, J Gu, V Tresp arXiv preprint arXiv:2211.10567, 2022 | 11 | 2022 |
| Can vision-language models be a good guesser? exploring vlms for times and location reasoning G Zhang, Y Zhang, K Zhang, V Tresp Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 9 | 2024 |
| VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs R Liao, M Erler, H Wang, G Zhai, G Zhang, Y Ma, V Tresp arXiv preprint arXiv:2409.20365, 2024 | 5 | 2024 |
| A systematic survey of prompt engineering on vision-language foundation models. arXiv J Gu, Z Han, S Chen, A Beirami, B He, G Zhang, P Torr arXiv preprint arXiv:2307.12980, 2023 | 5 | 2023 |
| Multimodal pragmatic jailbreak on text-to-image models T Liu, Z Lai, G Zhang, P Torr, V Demberg, V Tresp, J Gu arXiv preprint arXiv:2409.19149, 2024 | 3 | 2024 |
| FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models H Chen, H Li, Y Zhang, G Zhang, J Bi, P Torr, J Gu, D Krompass, V Tresp arXiv preprint arXiv:2410.04810, 2024 | 1 | 2024 |
| Localizing events in videos with multimodal queries G Zhang, MLA Fok, J Ma, Y Xia, D Cremers, P Torr, V Tresp, J Gu arXiv preprint arXiv:2406.10079, 2024 | 1 | 2024 |
| Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs G Zhang, M Ding, T Liu, Y Zhang, V Tresp arXiv preprint arXiv:2502.15457, 2025 | | 2025 |
| Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries R Amoroso*, G Zhang*, R Koner, L Baraldi, R Cucchiara, V Tresp Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2025 | | 2025 |
| SPOT! Revisiting Video-Language Models for Event Understanding G Zhang, J Bi, J Gu, Y Chen, V Tresp arXiv preprint arXiv:2311.12919, 2023 | | 2023 |
| Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning Supplementary Materials G Zhang, Y Zhang, K Zhang, V Tresp, AD WikiTiLo Middle East 11, 16, 0 | | |
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Patvirtintas el. paštas dbs.ifi.lmu.de