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Alexander Naitsat
Email anaitsat@campus.technion.ac.il

I acquired my Ph.D. at the Department of Electrical and Computer Engineering at the Technion, under the supervision of Prof. Yehoshua Zeevi and Assoc. Prof. Emil Saucan. The main topics of my research thesis included geometric optimization and 3D shape analysis. In addition to my Ph.D., I hold B.Sc. in Computer Science with Mathematics and M.Sc. in Applied Mathematics, both from the Technion.
Before my graduate studies, I was part of Intel's processor design team in Haifa. During my doctoral studies, I had research internships at Blink and PTC, where I worked on eye-tracking technology and inverse 3D modeling techniques, respectively.
After earning my Ph.D., I joined Amazon Go as an applied scientist intern, where my research centered around 3D reconstuction and 3D shape represenation methods for neural networks.

My primary fields of interest include Computer Vision, Geometry Processing and Computer Graphics.

Journal Papers (hover over images for a short summary)
  1. The main algorithm steps: mesh based 3D representation, optimal mapping into the plane, signal classification based on the measured distortions.
    Classification of Audio Signals Using Spectrogram Surfaces and
    Extrinsic Distortion Measures
    Jeremy Levy, Alexander Naitsat, Yehoshua Y. Zeevi EURASIP Journal on Advances in Signal Processing 2022
    DOI | Paper | Supplemental
  1. Illustration of inversion-free mappings with low distortions.
    On Inversion-Free Mapping and Distortion Minimization
    Alexander Naitsat, Gregory Naitzat, Yehoshua Y. Zeevi Journal of Mathematical Imaging and Vision 2021
    DOI | Preprint | Supplemental
  1. Constrained parameterization and locally injective volumetric mapping with ABCD algorithm.
    Adaptive Block Coordinate Descent for Distortion Optimization
    Alexander Naitsat, Yufeng Zhu, Yehoshua Y. Zeevi Computer Graphics Forum 2020 (Presented at SGP 2020)
    DOI | Preprint | Code | Talk

  1. Optimal mapping of the gyroid surface induced by volumetric deformation of its enclosing volume.
    Geometry-based Distortion Measures for Space Deformation
    Alexander Naitsat, Emil Saucan, Yehoshua Y. Zeevi Graphical Models 2018
    DOI | Paper

  1. Computing shape descriptors of brain segments.
    Geometric Approach to Detecting Volumetric Changes in Medical Images
    Alexander Naitsat, Emil Saucan, Yehoshua Y. Zeevi Journal of Computational and Applied Mathematics 2018
    DOI | Paper
  2. Conferences

    1. Hierarchical scheme for surface parameterization.
      Multi-Resolution Approach to Computing Locally Injective Maps on Meshes
      Alexander Naitsat, Yehoshua Y. Zeevi ACM SIGGRAPH 2019 Posters
      DOI | Paper | Video | Poster

      1. Landmarks detected from a real and spoofed stereo images.
        Face Anti-Spoofing Based on Projective Invariants
        Alexander Naitsat, Yehoshua Y. Zeevi IEEE International Conference on Electrical Engineering, ICSEE 2018
        DOI | Paper | Code | Video

        1. Canonical parameterization of tetrahedral meshes onto a ball.
          A Differential Geometry Approach for Change Detection in Medical Images
          Alexander Naitsat, Emil Saucan, Yehoshua Y. Zeevi International Symposium on Computer-Based Medical Systems, IEEE CBMS 2017
          DOI | Paper | Presentation

        2. Basic quasi-conformal mappings in 3D.
          Volumetric Quasi-Conformal Mappings
          Alexander Naitsat, Emil Saucan, Yehoshua Y. Zeevi VISIGRAPP 2015
          Paper
    2. Technical Reports
    3. Comparing two surfaces by measuring geometric distortions induced by flattening these surfaces into the plane.
      Distortion Measure of Spectrograms for Classification of Respiratory Diseases
      Jeremy Levy, Alexander Naitsat, Yehoshua Y. Zeevi
      Technical Report 2021
      arXiv

    4. Task-based functional networks that show voxel-wise changes in synchronization.
      Curvature-based Methods for Brain Network Analysis
      Melanie Weber, Johannes Stelzer, Emil Saucan, Alexander Naitsat,
      Gabriele Lohmann, Jürgen Jost
      Technical Report 2019
      arXiv
    5. Others

      1. An illustration of how to better represent meshes with left-right symmetry and how to improve texture flow for differentiable rendering
        Learning Shape Symmetries and UV-maps for 3D Mesh Reconstruction
        Research Internship Project
        Slides | Code

      2. Illustration of the optimal mapping problem.
        Optimal Mappings of Geometric Data with Applications in 2D and 3D
        Pixel Club Seminar
        Talk

      3. Five non-coplanar facial landmark points of a genuine image versus five coplanar landmark points of a spoofed image.
        Antispoofing in Face Recognition Systems based on Projective Invariants
        and Stereo Recording
        IMVC 2019: Israel Machine Vision Conference
        Poster

      4. Application snapshots.
        QC_tool: C++ library for visualization and processing of 2D and 3D meshes
        Open Source Application
        Code | Video