Personal Information
Links Github Linkedin CV About me I am a master's student at Sorbonne Université and an employee at @meshinspector. My interests are very broad: At MeshInspector I create various algorithms on meshes, point clouds and voxels. My most prominent contributions are the following: Creation of a novel algorithm for CT data post-processing: Subvoxel Correction Significant improvement of an ML-based segmentation algorithm for meshes (per entity success rate reached 95%) Improvement of meshes articulation algorithm (both in accuracy and execution time) Creation of an underparameterized model (based on PCA) of the specific types of objects Creation of a novel voxel-segmentation algorithm based on 3D fully convolutional network Previously, I worked in the domain of satellite data processing I trained a number of computer vision models of different natures (segmentation, style-transfer, detection) I created a universal inference engine (using TensorRT and OpenVino for different types of...