Mohamed Shawky Sabae

Mohamed Shawky Sabae

I am a PhD student in the Computer Graphics research group at Eberhard Karls University of Tübingen supervised by Prof. Dr.-Ing. Hendrik PA Lensch. I am also a scholar at the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

Research Focus: Inverse Rendering, Differentiable Rendering, 3D/4D Scene Reconstruction.

Experience Education Publications

PhD Researcher

Eberhard Karls University of Tübingen

February 2026 - Present

  • Researching inverse rendering and differentiable rendering techniques for 3D scene reconstruction and light estimation.
  • Conducting course tutorials at the Computer Graphics research group in the Computer Science department.

IMPRS-IS Scholar

International Max Planck Research School for Intelligent Systems

February 2026 - Present

  • Participating in the IMPRS-IS PhD program.

Computer Vision Engineer

Rembrand

March 2023 - January 2026

  • Developed computer vision and generative AI solutions for virtual product placement.
  • Worked on inverse rendering methods for material and light decomposition from RGB images.
  • Worked on 3D reconstruction pipelines to recover camera parameters and scene geometry from videos.

Teaching Assistant

Faculty of Engineering, Cairo University

December 2022 - January 2026

  • Handled course recitations and labs at Computer Engineering department.
  • Courses: Computer Vision, Computer Graphics, Machine Learning, Neural Networks, Cognitive Robotics.

Computer Vision Engineer

Anovate.ai

August 2021 - February 2023

  • Worked on deep learning applications for 3D computer vision, including 3D scene understanding and reconstruction.
  • Developed pipelines for mesh processing and deployed high-performance models using NVIDIA Triton.

Student Developer (GSoC 2020)

RoboComp

May 2020 - August 2020

Deep Learning Research Intern

Valeo

July 2019 - September 2019

  • Studied neural style transfer for modeling sensor noise.
  • Applied GANs (CycleGAN) for domain translation of LiDAR data from simulation to reality to improve YOLO object detection performance.

Doctor of Philosophy (PhD) - Computer Science

Faculty of Science, Eberhard Karls University of Tübingen

February 2026 - Present

Group: Computer Graphics Research Group.
Research Area: Computer Graphics and Vision.

Master of Science (MSc) - Computer Engineering

Faculty of Engineering, Cairo University

October 2022 - January 2025

GPA: 3.97.
Thesis: Neural Implicit Camera and Geometry Representations for Multiview 3D Reconstruction Without Camera Parameters.

Bachelor of Science (BSc) - Computer Engineering

Faculty of Engineering, Cairo University

September 2016 - May 2021

Grade: Distinction with Honors. Rank: 4th (out of 71).
Graduation Thesis: Face Generation from Text using StyleGAN2.

NoPose-NeuS

NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces

Mohamed Shawky Sabae, Hoda Anis Baraka, Mayada Mansour Hadhoud

NeurIPS 2023 UniReps Workshop · Dec 15, 2023
StyleT2F

StyleT2F: Generating Human Faces from Textual Description Using StyleGAN2

Mohamed Shawky Sabae, Mohamed Ahmed Dardir, Remonda Talaat Eskarous, Mohamed Ramzy Ebbed

arXiv preprint · Apr 17, 2022
Neural Sensor Models

Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation

Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky

NeurIPS 2019 Machine Learning for Autonomous Driving Workshop. Dec 15, 2019