| Git: A generative image-to-text transformer for vision and language J Wang, Z Yang, X Hu, L Li, K Lin, Z Gan, Z Liu, C Liu, L Wang Transactions on Machine Learning Research (TMLR), 2022 | 391 | 2022 |
| A fast and accurate one-stage approach to visual grounding Z Yang, B Gong, L Wang, W Huang, D Yu, J Luo IEEE International Conference on Computer Vision (ICCV), 4683-4693, 2019 | 333 | 2019 |
| An empirical study of gpt-3 for few-shot knowledge-based vqa Z Yang, Z Gan, J Wang, X Hu, Y Lu, Z Liu, L Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3081-3089, 2022 | 320 | 2022 |
| The dawn of lmms: Preliminary explorations with gpt-4v (ision) Z Yang, L Li, K Lin, J Wang, CC Lin, Z Liu, L Wang arXiv preprint arXiv:2309.17421 9 (1), 1, 2023 | 290 | 2023 |
| TransVG: End-to-End Visual Grounding with Transformers J Deng, Z Yang, T Chen, W Zhou, H Li IEEE International Conference on Computer Vision (ICCV), 2021 | 265 | 2021 |
| Scaling up vision-language pre-training for image captioning X Hu, Z Gan, J Wang, Z Yang, Z Liu, Y Lu, L Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 234 | 2022 |
| Mm-react: Prompting chatgpt for multimodal reasoning and action Z Yang, L Li, J Wang, K Lin, E Azarnasab, F Ahmed, Z Liu, C Liu, M Zeng, ... arXiv preprint arXiv:2303.11381, 2023 | 232 | 2023 |
| Improving One-stage Visual Grounding by Recursive Sub-query Construction Z Yang, T Chen, L Wang, J Luo European Conference on Computer Vision (ECCV), 2020 | 206 | 2020 |
| End-to-end multi-modal multi-task vehicle control for self-driving cars with visual perceptions Z Yang, Y Zhang, J Yu, J Cai, J Luo 2018 24th international conference on pattern recognition (ICPR), 2289-2294, 2018 | 189 | 2018 |
| Action recognition with spatio–temporal visual attention on skeleton image sequences Z Yang, Y Li, J Yang, J Luo IEEE Transactions on Circuits and Systems for Video Technology 29 (8), 2405-2415, 2018 | 181 | 2018 |
| Prompting gpt-3 to be reliable C Si, Z Gan, Z Yang, S Wang, J Wang, J Boyd-Graber, L Wang International Conference on Learning Representations (ICLR 23), 2022 | 175 | 2022 |
| Mm-vet: Evaluating large multimodal models for integrated capabilities W Yu, Z Yang, L Li, J Wang, K Lin, Z Liu, X Wang, L Wang arXiv preprint arXiv:2308.02490, 2023 | 170 | 2023 |
| Attentive relational networks for mapping images to scene graphs M Qi, W Li, Z Yang, Y Wang, J Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3957-3966, 2019 | 170 | 2019 |
| TAP: Text-Aware Pre-training for Text-VQA and Text-Caption Z Yang, Y Lu, J Wang, X Yin, D Florencio, L Wang, C Zhang, L Zhang, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 151 | 2021 |
| A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation Y Yin, F Meng, J Su, C Zhou, Z Yang, J Zhou, J Luo Annual Meeting of the Association for Computational Linguistics (ACL), 2020 | 134 | 2020 |
| UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling Z Yang, Z Gan, J Wang, X Hu, F Ahmed, Z Liu, Y Lu, L Wang European Conference on Computer Vision (ECCV), 521--539, 2022 | 130* | 2022 |
| Multimodal foundation models: From specialists to general-purpose assistants C Li, Z Gan, Z Yang, J Yang, L Li, L Wang, J Gao Foundations and Trends® in Computer Graphics and Vision 16 (1-2), 1-214, 2024 | 97 | 2024 |
| Promptcap: Prompt-guided task-aware image captioning Y Hu, H Hua, Z Yang, W Shi, NA Smith, J Luo arXiv preprint arXiv:2211.09699, 2022 | 85* | 2022 |
| SAT: 2D Semantics Assisted Training for 3D Visual Grounding Z Yang, S Zhang, L Wang, J Luo IEEE International Conference on Computer Vision (ICCV), 2021 | 80 | 2021 |
| Dynamic context-guided capsule network for multimodal machine translation H Lin, F Meng, J Su, Y Yin, Z Yang, Y Ge, J Zhou, J Luo Proceedings of the 28th ACM International Conference on Multimedia, 1320-1329, 2020 | 76 | 2020 |
Lijuan WangMicrosoft GenAI在 microsoft.com 的电子邮件经过验证
