Search Results for author:
Found 2 papers, 0 papers with code
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
There is a necessity to develop affordable, and reliable diagnostic tools, which allow containing the COVID-19 spreading.
SE-MD: A Single-encoder multiple-decoder deep network for point cloud generation from 2D images
However, the body of research work is limited and there are various issues like using inefficient 3D representation formats, weak 3D model generation backbones, inability to generate dense point clouds, dependence of post-processing for generation of dense point clouds, and dependence on silhouettes in RGB images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
