Cedric Perauer
cedric@CV:~$cat welcome.txt
Hello! I'm Cedric
I work as a computer vision/ML engineer at Hexagon, and I am interested in scene understanding and generation.
Previously, I was a master's student at TUM and did my thesis with Dr. Alexey Artemov at the TUM Visual Computing & AI Lab. I also worked on computer vision for robotics at Apple, automated driving at Bosch and Mercedes-Benz, and was a founding computer vision engineer at CombatIQ, where I shipped real-time computer vision models for UFC fights.
I am passionate about bringing the latest research into products and working on the full stack, from product-driven research to runtime optimization and deployment of models. I enjoy reimplementing papers and following the latest research, both at work and in my free time.
cedric@CV:~$/selected-publications
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AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansIn IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
cedric@CV:~$/selected-projects
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An implementation of the 2026 Bytedance & UCLA paper LoL -
Instance aware real-time dynamic 3D gaussian splatting on Apple devices, based on my friend's (Li et al.) paper TRASE [3DV 2026] -
2D latent generative anamorphoses with Stable Diffusion 3.5, inspired by LookingGlass (CVPR2025) -
Progressive inpainting via equirectangular projection based on Meta's 2025 ICCV paper "A recipe for generating 3D worlds from a single image" -
Inpainting implementation for Nvidia SANA [ICLR2025] using masked Flow scheduler
cedric@CV:~$/selected-patents
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Development and Deployment of a Perception Stack for the Formula Student Driverless Competition2021 -
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansIn IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
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An implementation of the 2026 Bytedance & UCLA paper LoL -
Instance aware real-time dynamic 3D gaussian splatting on Apple devices, based on my friend's (Li et al.) paper TRASE [3DV 2026] -
2D latent generative anamorphoses with Stable Diffusion 3.5, inspired by LookingGlass (CVPR2025) -
Progressive inpainting via equirectangular projection based on Meta's 2025 ICCV paper "A recipe for generating 3D worlds from a single image" -
A simple virtual staging pipeline based on Stable Diffusion trained in Instruct Pix2Pix fashion with a paired image dataset -
A comparison study of various dynamic NeRF methods -
A method for data efficient top down robot grasp detection with Dinov2 -
Inpainting implementation for Nvidia SANA [ICLR2025] using masked Flow scheduler

