PoseTED: A Novel Regression-Based Technique for Recognizing Multiple Pose Instances

Afsana Ahsan Jeny, Masum Shah Junayed, Md Baharul Islam. PoseTED: A Novel Regression-Based Technique for Recognizing Multiple Pose Instances. In George Bebis, Vassilis Athitsos, Tong Yan, Manfred Lau, Frederick Li, Conglei Shi, Xiaoru Yuan, Christos Mousas, Gerd Bruder, editors, Advances in Visual Computing - 16th International Symposium, ISVC 2021, Virtual Event, October 4-6, 2021, Proceedings, Part I. Volume 13017 of Lecture Notes in Computer Science, pages 573-585, Springer, 2021. [doi]

@inproceedings{JenyJI21,
  title = {PoseTED: A Novel Regression-Based Technique for Recognizing Multiple Pose Instances},
  author = {Afsana Ahsan Jeny and Masum Shah Junayed and Md Baharul Islam},
  year = {2021},
  doi = {10.1007/978-3-030-90439-5_45},
  url = {https://doi.org/10.1007/978-3-030-90439-5_45},
  researchr = {https://researchr.org/publication/JenyJI21},
  cites = {0},
  citedby = {0},
  pages = {573-585},
  booktitle = {Advances in Visual Computing - 16th International Symposium, ISVC 2021, Virtual Event, October 4-6, 2021, Proceedings, Part I},
  editor = {George Bebis and Vassilis Athitsos and Tong Yan and Manfred Lau and Frederick Li and Conglei Shi and Xiaoru Yuan and Christos Mousas and Gerd Bruder},
  volume = {13017},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-90439-5},
}