Update README.md

README.md

@@ -19,7 +19,7 @@ Yolov5 is trained on MuCeD dataset with Posterior Regularization.
 <!-- Provide the basic links for the model. -->
 
 - **Repository:** [https://github.com/dair-iitd/DeGPR]
-- **Paper :** [Coming Soon]
+- **Paper :** [here](https://openaccess.thecvf.com/content/CVPR2023/papers/Tyagi_DeGPR_Deep_Guided_Posterior_Regularization_for_Multi-Class_Cell_Detection_and_CVPR_2023_paper.pdf)
 
 
 ## Training Details
@@ -40,9 +40,17 @@ Training dataset can be found [here](https://docs.google.com/forms/d/e/1FAIpQLSc
 | EfficientDet (DeGPR) | 0.274     | 0.641  | 0.425 | 17.32    | 90.04   | 18.51     | 18.12     |
 
 
-## Citation [Coming soon]
+## Citation
+``` bibtex
+@inproceedings{tyagi2023degpr,
+  title={DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting},
+  author={Tyagi, Aayush Kumar and Mohapatra, Chirag and Das, Prasenjit and Makharia, Govind and Mehra, Lalita and AP, Prathosh and others},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  pages={23913--23923},
+  year={2023}
+}
+```
 
 
-**BibTeX:**