SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis. Yao, S., Wang, Y., Aliakbarpour, H., Seetharaman, G., Rao, R. M., & Palaniappan, K. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020, pages 1–6, 2020. IEEE.
SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/aipr/YaoWASRP20,
  author    = {Shizeng Yao and
               Yangyang Wang and
               Hadi Aliakbarpour and
               Guna Seetharaman and
               Raghuveer M. Rao and
               Kannappan Palaniappan},
  title     = {SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View
               Stereopsis},
  booktitle = {49th {IEEE} Applied Imagery Pattern Recognition Workshop, {AIPR} 2020,
               Washington, DC, USA, October 13-15, 2020},
  pages     = {1--6},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/AIPR50011.2020.9425188},
  doi       = {10.1109/AIPR50011.2020.9425188},
  timestamp = {Mon, 17 May 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/aipr/YaoWASRP20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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