Cite the CVPR 2026 publication

README.md

@@ -5,13 +5,14 @@ tags:
   - autonomous-driving
   - self-supervised
   - nuscenes
+  - arxiv:2511.17221
 library_name: pytorch
 ---
 
 # QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy
 
-Weights for [QueryOcc](https://arxiv.org/abs/2511.17221) (Lilja, Lan, Fu, Hammarstrand).
-Code: [github.com/LiljaAdam/queryocc](https://github.com/LiljaAdam/queryocc).
+Weights for [QueryOcc](https://arxiv.org/abs/2511.17221) (Lilja, Lan, Fu, Hammarstrand),
+**CVPR 2026**. Code: [github.com/LiljaAdam/queryocc](https://github.com/LiljaAdam/queryocc).
 
 QueryOcc learns continuous 3D semantic occupancy from multi-view camera images by supervising
 directly in 4D space-time: positive and negative queries are sampled along rays from point
@@ -85,10 +86,11 @@ Apache 2.0, matching the code.
 ## Citation
 
 ```bibtex
-@article{lilja2025queryocc,
+@inproceedings{lilja2026queryocc,
   title={QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy},
   author={Lilja, Adam and Lan, Ji and Fu, Junsheng and Hammarstrand, Lars},
-  journal={arXiv preprint arXiv:2511.17221},
-  year={2025}
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  pages={21399--21408},
+  year={2026}
 }
 ```