Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+
+# Task-Aligned Part-aware Panoptic Segmentation (TAPPS)
+
+[[Paper](https://openaccess.thecvf.com/content/CVPR2024/papers/de_Geus_Task-aligned_Part-aware_Panoptic_Segmentation_through_Joint_Object-Part_Representations_CVPR_2024_paper.pdf)] [[Project page](http://tue-mps.github.io/tapps)] [[Code](https://github.com/tue-mps/tapps/)]
+
+We provide the models for the part-aware panoptic segmentation task, as presented in our CVPR 2024 paper: [Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations](https://openaccess.thecvf.com/content/CVPR2024/papers/de_Geus_Task-aligned_Part-aware_Panoptic_Segmentation_through_Joint_Object-Part_Representations_CVPR_2024_paper.pdf).
+
+For the code, see [https://github.com/tue-mps/tapps/](https://github.com/tue-mps/tapps/).
+
+Please consider citing our work if it is useful for your research.
+
+```
+@inproceedings{degeus2024tapps,
+  title={{Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations}},
+  author={{de Geus}, Daan and Dubbelman, Gijs},
+  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2024}
+}
+```