Misha Usvyatsov

Misha Usvyatsov

PhD student

ETH Zurich

Biography

I am a PhD student at ETH Zurich 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 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).

Interests
  • Deep Learning
  • Machine Learning
  • Tensors
  • Computer Vision
Free time
  • SAMBO / Judo / BJJ
  • Paragliding
  • DIY (3D modelling, 3D printing, soldering, other)
  • Swimming, Snowboarding
  • Chess, Go
  • Coffee
Education

  • PhD in Computer Science, Now

    ETH Zurich, Zurich, Switzerland

  • MSc in Data Analysis, 2017

    Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia

  • MSc in System Programming, 2017

    Moscow Institute of Physics and Technology (MIPT), Moscow, Russia

  • BSc in Computer Science, 2015

    Innopolis University, Kazan, Russia

  • B.Eng. in Electrical Engineering, 2014

    Ural Federal University, Ekaterinburg, Russia

Experience

 
 
 
 
 
PhD Student / Research Assistant
ETH Zurich
Oct 2017 – Present Zurich

Research areas: Deep Learning, Tensors, Computer Vision

Advisor: Prof. Konrad Schindler

 
 
 
 
 
Research Intern
Google
Jul 2021 – Oct 2021 Online
Research Intern at Mobile Vision Group
 
 
 
 
 
ML Intern
Apple
Apr 2020 – Aug 2020 Zurich
Research Intern at Special Projects Group
 
 
 
 
 
Software Engineering Intern
ProtonMail
Jun 2017 – Aug 2017 Online
  • Applied LSH for SPAM detection
  • Developed the system for import/export of emails for the ProtonMail system
 
 
 
 
 
Research Intern
Yandex
Jun 2016 – Jun 2017 Moscow

Worked with Prof. Andrey Ustyuzhanin in close collaboration with CERN.

  • Worked on muon tracks simulation with Generative Adversarial Networks
  • Developed efficient architecture (50x to 30% FLOPS speedup, depending on the problem)

Recent Publications

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Mikhail Usvyatsov, Rafael Ballester-Rippoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan Oseledets (2022). T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. arXiv preprint arXiv:2208.01421.

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Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler (2022). tntorch: Tensor network learning with PyTorch. Journal of Machine Learning Research.

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Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool (2022). TT-NF: Tensor Train Neural Fields. arXiv preprint arXiv:2209.15529.

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Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler (2021). Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV2021.

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Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler (2021). PREDATOR: Registration of 3D Point Clouds with Low Overlap. CVPR2021.

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Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler (2020). Indoor Scene Recognition in 3D. 2020 International Conference on Intelligent Robots and Systems (IROS).

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Mikhail Usvyatsov, Konrad Schindler (2019). Visual recognition in the wild by sampling deep similarity functions. 2019 International Conference on Robotics and Automation (ICRA).

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Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan D Wegner, Konrad Schindler (2018). Inference, learning and attention mechanisms that exploit and preserve sparsity in convolutional networks. International Journal of Computer Vision.

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Maxim Borisyak, Mikhail Usvyatsov, Michael Mulhearn, Chase Shimmin, Andrey Ustyuzhanin (2017). Muon trigger for mobile phones. Journal of Physics: Conference Series.

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Teaching

I taught the following courses:

  • Teaching assistant of Prof. Konrad Schindler.

    • Image Interpretation, Fall 2017 - 2021 Zurich, 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 - 2021 Zurich, Switzerland

Recent Posts

Large-scale 3D modeling of a village Mulegns
The story of three weeks project as a part of Geodesic Project Course.
Jul 10, 2021 1 min read
Large-scale 3D modeling of a village Mulegns
Fixing Keychron K3 brown switch
How I fixed Keychron K3 brown switch.
Feb 25, 2021 3 min read
Fixing Keychron K3 brown switch

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