Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification

Wajeeha Ansar, M. M. Fraz, M. Shahzad, I. Gohar, Sajid Javed, Soon Ki Jung. Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification. In Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings. Volume 11401 of Lecture Notes in Computer Science, pages 654-661, Springer, 2018. [doi]

@inproceedings{AnsarFSGJJ18,
  title = {Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification},
  author = {Wajeeha Ansar and M. M. Fraz and M. Shahzad and I. Gohar and Sajid Javed and Soon Ki Jung},
  year = {2018},
  doi = {10.1007/978-3-030-13469-3_76},
  url = {https://doi.org/10.1007/978-3-030-13469-3_76},
  researchr = {https://researchr.org/publication/AnsarFSGJJ18},
  cites = {0},
  citedby = {0},
  pages = {654-661},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings},
  editor = {Rubén Vera-Rodríguez and Julian Fiérrez and Aythami Morales},
  volume = {11401},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-13469-3},
}