Cedric Perauer

cedric@CV: ~
Cedric

User: Cedric Perauer

OS: Computer Vision/ML Engineer @ Hexagon

TUM logo Hexagon logo CombatIQ logo Apple logo Bosch logo Mercedes-Benz logo
cedric@CV: ~
[cedric] 0:about 1:publications 2:projects 3:patents

cedric@CV:~$cat welcome.txt

Hello! I'm Cedric :wave: I work as a computer vision/ML engineer at Hexagon, and I am interested in scene understanding and generation.

Previously, I was a master's student at TUM and did my thesis with Dr. Alexey Artemov at the TUM Visual Computing & AI Lab. I also worked on computer vision for robotics at Apple, automated driving at Bosch and Mercedes-Benz, and was a founding computer vision engineer at CombatIQ, where I shipped real-time computer vision models for UFC fights.

I am passionate about bringing the latest research into products and working on the full stack, from product-driven research to runtime optimization and deployment of models. I enjoy reimplementing papers and following the latest research, both at work and in my free time.

cedric@CV:~$/selected-publications

  1. autoinst.jpg
    AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
    Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova*, and Alexey Artemov*
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

cedric@CV:~$/selected-projects

  1. project thumbnail
    Instance aware real-time dynamic 3D gaussian splatting on Apple devices, based on my friend's (Li et al.) paper TRASE [3DV 2026]
  2. project thumbnail
    2D latent generative anamorphoses with Stable Diffusion 3.5, inspired by LookingGlass (CVPR2025)
  3. project thumbnail
    Progressive inpainting via equirectangular projection based on Meta's 2025 ICCV paper "A recipe for generating 3D worlds from a single image"
  4. project thumbnail
    Inpainting implementation for Nvidia SANA [ICLR2025] using masked Flow scheduler

cedric@CV:~$/selected-patents

  1. fsd1.png
    Development and Deployment of a Perception Stack for the Formula Student Driverless Competition
    Cedric Perauer
    2021
  2. autoinst.jpg
    AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
    Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova*, and Alexey Artemov*
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
  1. project thumbnail
    Instance aware real-time dynamic 3D gaussian splatting on Apple devices, based on my friend's (Li et al.) paper TRASE [3DV 2026]
  2. project thumbnail
    2D latent generative anamorphoses with Stable Diffusion 3.5, inspired by LookingGlass (CVPR2025)
  3. project thumbnail
    Progressive inpainting via equirectangular projection based on Meta's 2025 ICCV paper "A recipe for generating 3D worlds from a single image"
  4. project thumbnail
    A simple virtual staging pipeline based on Stable Diffusion trained in Instruct Pix2Pix fashion with a paired image dataset
  5. project thumbnail
    A comparison study of various dynamic NeRF methods
  6. project thumbnail
    A method for data efficient top down robot grasp detection with Dinov2
  7. project thumbnail
    Inpainting implementation for Nvidia SANA [ICLR2025] using masked Flow scheduler