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    = {Sat, 09 Apr 2022 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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