Update README.md

README.md

@@ -16,6 +16,20 @@ by Tommie Kerssies, Niccolò Cavagnero, Alexander Hermans, Narges Norouzi, Giuse
 
 > **Key Insight**: Given sufficient scale and pretraining, a plain ViT along with additional few params can perform segmentation without the need for task-specific decoders or pixel fusion modules. The same model backbone supports semantic, instance, and panoptic segmentation with different post-processing 🤗
 
-The original implementation can be found in this [repository](https://github.com/tue-mps/eomt)
+The original implementation can be found in this [repository](https://github.com/tue-mps/eomt).
+
+The HuggingFace model page is available at this [link](https://huggingface.co/papers/2503.19108).
 
 ---
+
+## Citation
+If you find our work useful, please consider citing us as:
+```bibtex
+@inproceedings{kerssies2025eomt,
+  author    = {Kerssies, Tommie and Cavagnero, Niccolò and Hermans, Alexander and Norouzi, Narges and Averta, Giuseppe and Leibe, Bastian and Dubbelman, Gijs and de Geus, Daan},
+  title     = {Your ViT is Secretly an Image Segmentation Model},
+  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year      = {2025},
+}
+```
+