Dr. Sc. Misha Usvyatsov ☕️

Dr. Sc. Misha Usvyatsov

General Chaos (Software Engineer)

Google

Professional Summary

I am a Software Engineer at Google working on efficient on-device computing. I earned my PhD at ETH Zürich in the Photogrammetry and Remote Sensing Lab, supervised by Prof. Dr. Konrad Schindler. Before moving to Switzerland I completed my masters in Moscow where I graduated with honors from Moscow Institute of Physics and Technology (MIPT) and from Skolkovo Institute of Science and Technology (Skoltech). I started my expansion towards west with a move to Kazan (where I spent 1 year at Innopolis) from Ekaterinburg (where I grew up and made my first bachelor degree in electrical engineering and graduated with honors from Ural Federal University).

Education

Dr.Sc. Computer Science

2017-10-01 - 2022-11-01

ETH Zurich, Zurich, Switzerland

M.Sc. Data Analysis

2015-09-01 - 2017-06-01

Skoltech, Moscow, Russia

M.Sc. System Programming

2015-09-01 - 2017-06-01

MIPT, Moscow, Russia

B.Sc. Computer Science

2014-09-01 - 2015-06-01

Innopolis, Kazan, Russia

B.Eng. Electrical Engineering

2010-09-01 - 2014-06-01

UrFU, Ekaterinburg, Russia

Interests

Programming Computer Vision, ML & DL DIY & Hacking BJJ
Publications
(2022). T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. arXiv preprint arXiv:2208.01421.
(2022). tntorch: Tensor network learning with PyTorch. Journal of Machine Learning Research.
(2022). TT-NF: Tensor Train Neural Fields. arXiv preprint arXiv:2209.15529.
(2021). Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV2021.
(2021). PREDATOR: Registration of 3D Point Clouds with Low Overlap. CVPR2021.
Teaching

I taught the following courses:

  • Teaching assistant of Prof. Konrad Schindler.

    • Image Interpretation, Fall 2017 - 2021 Zürich, Switzerland
  • Teaching assistant of Prof. Stamatios Lefkimmiatis.

    • Signal and Image Processing, Spring 2017, Moscow, Russia
  • Course instructor.

    • Introduction to Deep Learning, May 2017, April 2021, Yerevan, Armenia
    • Introduction to Scientific Computing, Fall 2018 - 2025 Zürich, Switzerland