Update README.md

README.md

@@ -32,3 +32,18 @@ We propose the Semantic Complex Scenarios Video Object Segmentation (SeCVOS) ben
 Our annotations are licensed under a [CC BY-NC-SA 4.0 License](https://creativecommons.org/licenses/by-nc-sa/4.0/). They are available strictly for non-commercial research.
 
 We uphold the rights of individuals and copyright holders. If you are featured in any of our video annotations or hold copyright to a video and wish to have its annotation removed from our dataset, please reach out to us. Send an email to [email protected] with the subject line beginning with SeCVOS, or raise an issue with the same title format. We commit to reviewing your request promptly and taking suitable action.
+
+---
+## Citation
+
+If you find this project useful in your research, please consider citing:
+
+```BibTeX
+@article{zhang2025sec,
+  title     = {SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction},
+  author    = {Zhixiong Zhang and Shuangrui Ding and Xiaoyi Dong and Yuhang Zang and Yuhang Cao and Dahua Lin and Jiaqi Wang},
+  journal   = {arXiv preprint arXiv:2507.xxxxx},
+  year      = {2025},
+  url       = {https://arxiv.org/abs/2507.xxxxx}
+}
+```