docs(bib): Update DeFlow bib in README.md

Author: Kin-Zhang

README.md

@@ -181,15 +181,17 @@ https://github.com/KTH-RPL/DeFlow/assets/35365764/9b265d56-06a9-4300-899c-96047a
 ## Cite & Acknowledgements
 
 ```
-@article{zhang2024deflow,
+@inproceedings{zhang2024deflow,
   author={Zhang, Qingwen and Yang, Yi and Fang, Heng and Geng, Ruoyu and Jensfelt, Patric},
-  title={DeFlow: Decoder of Scene Flow Network in Autonomous Driving},
-  journal={arXiv preprint arXiv:2401.16122},
-  year={2024}
+  booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)}, 
+  title={{DeFlow}: Decoder of Scene Flow Network in Autonomous Driving}, 
+  year={2024},
+  pages={2105-2111},
+  doi={10.1109/ICRA57147.2024.10610278}
 }
 @article{zhang2024seflow,
   author={Zhang, Qingwen and Yang, Yi and Li, Peizheng and Andersson, Olov and Jensfelt, Patric},
-  title={SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving},
+  title={{SeFlow}: A Self-Supervised Scene Flow Method in Autonomous Driving},
   journal={arXiv preprint arXiv:2407.01702},
   year={2024}
 }
@@ -199,4 +201,4 @@ This implementation is based on codes from several repositories. Thanks to these
 Thanks to [Kyle Vedder (ZeroFlow)](https://github.com/kylevedder) who kindly discussed their results with us and HKUST Ramlab's member: Jin Wu who gave constructive comments on this work. 
 The computations were enabled by the supercomputing resource Berzelius provided by National Supercomputer Centre at Linköping University and the Knut and Alice Wallenberg Foundation, Sweden.
 
-❤️: [ZeroFlow](https://github.com/kylevedder/zeroflow), [NSFP](https://github.com/Lilac-Lee/Neural_Scene_Flow_Prior), [FastNSF](https://github.com/Lilac-Lee/FastNSF). Others good code style and tools: [forecast-mae](https://github.com/jchengai/forecast-mae), [kiss-icp](https://github.com/PRBonn/kiss-icp)
+❤️: [ZeroFlow](https://github.com/kylevedder/zeroflow), [NSFP](https://github.com/Lilac-Lee/Neural_Scene_Flow_Prior), [FastNSF](https://github.com/Lilac-Lee/FastNSF). Others good code style and tools: [forecast-mae](https://github.com/jchengai/forecast-mae), [kiss-icp](https://github.com/PRBonn/kiss-icp)