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| Large Scale Incremental Learning YF Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1546* | 2019 |
| VinVL: Making Visual Representations Matter in Vision-Language Models P Zhang, X Li, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao CVPR2021, 2021 | 1267* | 2021 |
| Grounded language-image pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1169 | 2022 |
| Florence: A new foundation model for computer vision L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ... arXiv preprint arXiv:2111.11432, 2021 | 955 | 2021 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024 | 864 | 2024 |
| End-to-End Human Pose and Mesh Reconstruction with Transformers K Lin, L Wang, Z Liu CVPR2021, 2020 | 775 | 2020 |
| Rethinking Classification and Localization for Object Detection YF Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 748 | 2020 |
| 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 | 594 | 2023 |
| End-to-end semi-supervised object detection with soft teacher M Xu, Z Zhang, H Hu, J Wang, L Wang, F Wei, X Bai, Z Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 585 | 2021 |
| 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 arXiv preprint arXiv:2205.14100, 2022 | 570 | 2022 |
| Segment everything everywhere all at once X Zou, J Yang, H Zhang, F Li, L Li, J Wang, L Wang, J Gao, YJ Lee arXiv preprint arXiv:2304.06718, 2023 | 545 | 2023 |
| 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 | 533 | 2023 |
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| An empirical study of training end-to-end vision-and-language transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 410 | 2022 |
| Mesh graphormer K Lin, L Wang, Z Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 376 | 2021 |
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| 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 | 333 | 2023 |
| 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 | 317 | 2022 |
Zicheng LiuMicrosoftOverená e-mailová adresa na: microsoft.com