Omar Moured

Omar Moured

Robotics Engineer

Sereact

I am a robotics engineer at Sereact, part of the R&D team working on World Action Models (WAM), vision-language-action (VLA) models, and the robot control stack. Before that, I was a postdoctoral researcher at the CV:HCI Lab at Karlsruhe Institute of Technology (KIT), working with Prof. Rainer Stiefelhagen, and collaborating closely with the ACCESS@KIT Lab. My PhD research focused on vision-language models (VLMs) for document understanding, specifically visualization analysis, multi-hop document retrieval, and accessibility for blind and visually impaired people.

📣 [New] Join us! We offer paid PhD, master’s, and bachelor’s thesis positions. If you are interested, please feel free to email me at: omar.moured@sereact.ai.

Interests
  • VLAs & World-Action Models
  • Robot Learning
  • Generative AI & RAG
  • Multimodal Document Understanding
  • Computer Vision
Education
  • Robotics Engineer @ Sereact

    2025 - present

  • Postdoctoral Researcher @ KIT

    2024 - 2025

  • PhD in Document Understanding @ KIT

    2021 - 2024

Selected Publications

(* equal contribution, † corresponding author)

LiveVLM
Real-Time Interactive Task Planning Utilizing Large Language Models
A. Nader*, O. Moured*, M. Ahmed, I. Hussain
IROS 2026 Accepted
Taxonomy of video de-identification and anonymization approaches
SoK: Multi-Perspective-Video-Anonymization
I. Amar, O. Moured, S. Hanisch, T. Strufe
PoPETs 2026 Paper PDF
CHAOS
CHAOS: Chart Analysis with Outlier Samples
O. Moured*, Y. Chen*, J. Zheng†, S. Reiß, R. Liu, R. Stiefelhagen
ICASSP 2026 Dataset Paper Code
HybriDLA
HybriDLA: Hybrid Generation for Document Layout Analysis
Y. Chen, O. Moured, R. Liu, J. Zheng, K. Peng, J. Zhang, R. Stiefelhagen
AAAI 2026 Oral Paper Proceedings
RefChartQA
RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning
A. Vogel*, O. Moured*, Y. Chen, J. Zhang†, R. Stiefelhagen
ICDAR 2025 Dataset Paper Code
SFDLA
SFDLA: Source-Free Document Layout Analysis
S. Tewes, Y. Chen, O. Moured, J. Zhang†, R. Stiefelhagen
ICDAR 2025 Paper Code
Chart4Blind
Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion
M. Baumgarten-Egemole, O. Moured†, K. Müller, A. Roitberg, T. Schwarz, R. Stiefelhagen
IUI 2024 Paper Code

Teaching


  • Teaching Assistant, Deep Learning for Computer Vision I: Basics, SS 2024, SS 2025




  • Seminar Course: Multimodal Large Language Models, SS 2025

Awards


  • Acknowledged for Outstanding Teaching and Mentorship, KIT, 2025.

  • EU Horizon Research Grant, Marie Curie INTUITIVE Program (INTUITIVE ITN), 2022-2024

  • The Best Practical Course, Teaching Award, KIT, Computer Science Faculty, 2021.

  • Master Research Grant from the Middle East Technical University (METU), 2020.

Services


  • Journal Reviewer: IEEE Transactions on Image Processing (T-IP), ACM Transactions on Interactive Intelligent Systems (TiiS)

  • Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, AAAI, BMVC

Contact