Suzanne Sorli

About

PhD in Computer Vision & Graphics, I enjoy building systems, solving complex problems, and turning ideas into concrete results. Passionate about computer vision and 3D data, I’ve contributed to deep learning pipelines, geometry processing workflows, and real-time graphics tools. Curious, autonomous, and persistent, I’m driven by meaningful challenges and technical depth, and eager to contribute to impactful projects in computer vision or 3D data processing.

Projects

Computer Vision

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- Implemented with Pierre Mézières and Anna Laporte the method from Efficiently Locating Objects Using the Hausdorff Distance∗ by W. Rucklidge
- Motion tracking using Lucas-Kanade to extract displacement vectors, followed by vector filtering and detection/tracking of regions with predominantly aligned motion directions

Geometry Processing

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Subdivision Loop, Quadratic Error Metric Mesh Simplification

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Marching Cube, Implicit Surface

2D & 3D Animation

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- Control Point Deformation, Skeletal Deformation, Cage Deformation, Parametric Curve Deformation,
- Manual and Automatic Weights: Inverted, Barycentric,
- Management of Layers for Multiple Characters
(Anna Laporte, Yi Nie, Suzanne Sorli, Charles Beaudonnet, Pierre Cholet)

Online demo is available here

Rendering Realtime

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HDR + Bloom, SSAO, FXAA

Rendering Offline

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Ray tracing

Skills

  • Programming Languagues

    C/C++/C#
    Python
    CUDA
    MATLAB
    R
    Shell Scripts
    GLSL
  • Tools & Frameworks

    OpenCV
    Pytorch & Pytorch3D
    Scikit-learn
    Pandas
    CMake
    Git
    OpenGL
    Eigen
    Qt
    WebGL
    ImGui
  • Softwares

    Unreal Engine
    Unity
    Blender
    MeshLab
    Matlab
  • Machine Learning

    2D & 3D Computer Vision
    Image Processing
    Deep Learning
    Neural Networks
    Data Analysis
  • Other Skills

    Numerical Optimization
    Geometry Processing / Modeling
    Computer Graphics
    Parallel Computing
  • Languages

    English: Advanced
    Spanish: Native
    French: Native

Contact me