Update README.md

README.md

@@ -21,13 +21,13 @@ This dataset was developed for **3D semantic segmentation task** using both **im
 **Grid** (electrical) **Net**work at **H**igh **D**ensity and High Resolution represents the first Image+LiDAR dataset accurately co-referenced in the electrical infrastructure domain.
 This dataset is associated with a public leaderboard hosted on Hugging Face Spaces, available at: [leaderboard](https://huggingface.co/spaces/heig-vd-geo/GridNet-HD-Leaderboard).
 
-The dataset is associated with the following paper:
-
-> **Title**: GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructure
-
-> **Authors**: Masked for instance
-
-> **Conference**: Submitted to CVPR 2026 
+@misc{gridnet-hd-dataset,
+      title={GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructure}, 
+      author={Antoine Carreaud and Shanci Li and Malo De Lacour and Digre Frinde and Jan Skaloud and Adrien Gressin},
+      year={2026},
+      eprint={2601.13052},
+      url={https://arxiv.org/abs/2601.13052}, 
+}
 
 
 This repository hosts the official data splits and resources used in the experiments reported in the paper.
@@ -222,6 +222,10 @@ This dataset is released under the CC-BY-4.0 license.
 
 If you use this dataset, please cite the following paper:
 
-    GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructure
-    Masked Authors
-    Submitted to CVPR 2026.
+@misc{gridnet-hd-dataset,
+      title={GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructure}, 
+      author={Antoine Carreaud and Shanci Li and Malo De Lacour and Digre Frinde and Jan Skaloud and Adrien Gressin},
+      year={2026},
+      eprint={2601.13052},
+      url={https://arxiv.org/abs/2601.13052}, 
+}