Example of speeding up inference of PyTorch models on M1 via Core ML tools
I recently read the CVPR 2022 paper titled “Learning to generate line drawings that convey geometry and semantics”, and I found the results quite interesting...
Vladimir Nekrasov
I am a machine learning and computer vision research engineer. My focus is on simplifying existing pipelines to create practical deep learning solutions for dense per-pixel tasks, primarily semantic segmentation.
Currently I am on the lookout for new opportunities. I am interested in deep learning-powered applications across robotics and other related industries.
Recent Posts
Number of Citations of Papers Awarded at CVPR conferences
CVPR has long been regarded as the cream of the crop in the area of computer vision, attracting high-quality and influential publications. Traditionally, sev...
My internship at Skydio
Recently I returned to Australia from the US where I had spent five months as an intern at Skydio, a Redwood City-based startup that is building autonomous f...
Are we there yet? Part I. Education
As of 2019, if you were to build a text generator (akin to this one), chances are that after the word Artificial it would mostly likely be predicting the wor...