| MiniGPT-4: Enhancing vision-language understanding with advanced large language models D Zhu, J Chen, X Shen, X Li, M Elhoseiny International Conference on Learning Representations 2024, 2023 | 4424 | 2023 |
| MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang, R Krishnamoorthi, ... 2nd MMFM Workshop in CVPR2024, 2023 | 908 | 2023 |
| Emerging Properties in Unified Multimodal Pretraining C Deng, D Zhu, K Li, C Gou, F Li, Z Wang, S Zhong, W Yu, X Nie, Z Song, ... arXiv preprint arXiv:2505.14683, 2025 | 259 | 2025 |
| Seed1. 5-VL Technical Report D Guo, F Wu, F Zhu, F Leng, G Shi, H Chen, H Fan, J Wang, J Jiang, ... arXiv preprint arXiv:2505.07062, 2025 | 185* | 2025 |
| ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions D Zhu, J Chen, K Haydarov, X Shen, W Zhang, M Elhoseiny Transactions on Machine Learning Research (TMLR), 2023 | 137 | 2023 |
| Minigpt4-video: Advancing multimodal llms for video understanding with interleaved visual-textual tokens K Ataallah, X Shen, E Abdelrahman, E Sleiman, D Zhu, J Ding, ... 2nd MMFM Workshop in CVPR2024, 2024 | 134 | 2024 |
| Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation A Mohamed, D Zhu, W Vu, M Elhoseiny, C Claudel European Conference on Computer Vision (ECCV) 2022, 2022 | 126 | 2022 |
| Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only J Chen, D Zhu, G Qian, B Ghanem, Z Yan, C Zhu, F Xiao, SC Culatana, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 699-710, 2023 | 72* | 2023 |
| MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis A Alkhaldi, R Alnajim, L Alabdullatef, R Alyahya, J Chen, D Zhu, A Alsinan, ... arXiv preprint arXiv:2407.04106, 2024 | 58 | 2024 |
| Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions J Chen, D Zhu, K Haydarov, X Li, M Elhoseiny arXiv preprint arXiv:2304.04227, 2023 | 55 | 2023 |
| Seaweed-7b: Cost-effective training of video generation foundation model T Seawead, C Yang, Z Lin, Y Zhao, S Lin, Z Ma, H Guo, H Chen, L Qi, ... arXiv preprint arXiv:2504.08685, 2025 | 53 | 2025 |
| Goldfish: Vision-Language Understanding of Arbitrarily Long Videos K Ataallah, X Shen, E Abdelrahman, E Sleiman, M Zhuge, J Ding, D Zhu, ... European Conference on Computer Vision (ECCV) 2024, 2024 | 38 | 2024 |
| RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition J Chen, A Agarwal, S Abdelkarim, D Zhu, M Elhoseiny Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30* | 2022 |
| Causal diffusion transformers for generative modeling C Deng, D Zhu, K Li, S Guang, H Fan arXiv preprint arXiv:2412.12095, 2024 | 23 | 2024 |
| Motion forecasting with unlikelihood training in continuous space D Zhu, M Zahran, LE Li, M Elhoseiny Conference on Robot Learning, 1003-1012, 2022 | 17 | 2022 |
| How Well Can Vision Language Models See Image Details? C Gou, A Felemban, FF Khan, D Zhu, J Cai, H Rezatofighi, M Elhoseiny arXiv preprint arXiv:2408.03940, 2024 | 15 | 2024 |
| Guiding Online Reinforcement Learning with Action-Free Offline Pretraining D Zhu, Y Wang, J Schmidhuber, M Elhoseiny arXiv preprint arXiv:2301.12876, 2023 | 10 | 2023 |
| Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning D Zhu, LE Li, M Elhoseiny International Conference on Learning Representations 2023, 2022 | 10 | 2022 |
| HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents D Zhu, M Zahran, LE Li, M Elhoseiny International Conference on Learning Representations, 2021, 2021 | 9 | 2021 |
| Learning to disentangle latent physical factors for video prediction D Zhu, M Munderloh, B Rosenhahn, J Stückler German Conference on Pattern Recognition, 595-608, 2019 | 5 | 2019 |
Mohamed Elhoseiny, Ph.D.Associate Professor, KAUST | Founder, Startup StealthVerified email at cs.stanford.edu
