CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation

Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan. CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI. Volume 13806 of Lecture Notes in Computer Science, pages 207-222, Springer, 2022. [doi]

@inproceedings{BaiHPDC22,
  title = {CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation},
  author = {Haoyue Bai and Hao He and Zhuoxuan Peng and Tianyuan Dai and S.-H. Gary Chan},
  year = {2022},
  doi = {10.1007/978-3-031-25075-0_16},
  url = {https://doi.org/10.1007/978-3-031-25075-0_16},
  researchr = {https://researchr.org/publication/BaiHPDC22},
  cites = {0},
  citedby = {0},
  pages = {207-222},
  booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI},
  editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
  volume = {13806},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25075-0},
}