Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation

Yan Wang, Ge Li, Ruonan Zhang, Xingyu Chen, Thomas H. Li. Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation. In IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022. pages 335-342, IEEE, 2022. [doi]

@inproceedings{WangLZCL22,
  title = {Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation},
  author = {Yan Wang and Ge Li and Ruonan Zhang and Xingyu Chen and Thomas H. Li},
  year = {2022},
  doi = {10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00069},
  url = {https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00069},
  researchr = {https://researchr.org/publication/WangLZCL22},
  cites = {0},
  citedby = {0},
  pages = {335-342},
  booktitle = {IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022, Haikou, China, December 15-18, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-4655-8},
}