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Anton Egorov
3D CV Engineer
Anton Egorov, Expert at School 21
Anton Egorov is a 3D CV Engineer at School 21, a programming school in Russia.2 His LinkedIn username is antegorov.2
Some key details about Anton Egorov:
- Works as a 3D CV Engineer at School 21 in Russia2
- Has native or bilingual proficiency in both English and Russian1
- Studied at the Skolkovo Institute of Science and Technology2
- Has a Master's degree with Honors in Information Systems and Technologies5
- Based on his LinkedIn profile, he seems to be a different person than the Anton Egorovs working at JPMorgan Chase1, Endress+Hauser Group3, Ledcor4, and Canva.6
Highlights
Hello! My name is Anton. I’m a researcher and engineer with a particular interest in computer vision and deep learning for robust 3D perception. I am also broadly interested in SLAM (3D Mapping and Localization).
Most recently, I have been mainly working on 3 topics:
- 3D Map Reconstraction;
- Object Detection and Segmentation;
- Point Clouds;
Also, this year I was a part of the development team of the 3D Building Model Reconstruction challenge for the CVPR 2022 Workshop "2nd Workshop and Challenge on Computer Vision in the Built Environment for the Design, Construction, and Operation of Buildings".
Workshop Website: https://cv4aec.github.io/
I received my Master of Science at Skolkovo Institute of Science and Technology (Skoltech) — including a six-month research visit at the Robotics Institute at Carnegie Mellon University, USA.
CV, projects, published papers and all other information you can find on my Personal Website: https://lnkd.in/eDJj2X-2
I am looking for a new Job and would appreciate your support. Thank you in advance for any connections, advice, or opportunities you can offer.
If you have a friend who might be interested in, please share this post. #OpenToWork #opportunities
I am proud to announce that this year I was a part of the development team of the 3D Building Model Reconstruction challenge for the CVPR 2022 Workshop "2nd Workshop and Challenge on Computer Vision in the Built Environment for the Design, Construction, and Operation of Buildings".
We successfully brought together participants from ETH, TUM, Tsinghua University, The University of Hong Kong and etc to work on acquiring the semantic as-is status of buildings given their 3D point clouds. Specifically, we focused on the tasks of floorplan reconstruction and 3D building model reconstruction and present appropriate interdisciplinary metrics for solving them.
I would like to extend my utmost gratitude to Artem K. and Haofan Wang for help and hard work.
For more info on the workshop, see: https://cv4aec.github.io/ #cvpr #cvpr2022 #workshop #computervision
