Portrait
Markus Gross
Ph.D. Student @ TU Munich
Research Associate @ Fraunhofer IVI
About Me

I am a research associate at Fraunhofer IVI and a Ph.D. student at the Technical University of Munich (TUM), supervised by Prof. Dr. Daniel Cremers. Prior to that, I obtained the Master of Science with highest distinction in Computer Science from the Munich University of Applied Sciences.

My research interests include computer vision and deep learning, with their applications in mobile robotics, specifically autonomous flying and driving. I am also passionate about planetary robotics and spaceflight in general 🚀

Education
  • Technical University of Munich
    Technical University of Munich
    Ph.D. Student
    Supervisor: Prof. Daniel Cremers
    Computer Vision Group
    TUM School of CIT
    10/2024 - present
  • Munich University of Applied Sciences
    Munich University of Applied Sciences
    M. Sc. in Computer Science
    Grad. with highest distinction
    03/2020 - 07/2022
Experience
Scholarships
  • Friedrich Naumann Foundation for Freedom
    Friedrich Naumann Foundation for Freedom
    Non-financial support and financial funding
    10/2020 - 07/2022
  • Schotstek Foundation
    Schotstek Foundation
    Non-financial support
    10/2018 - 09/2019
  • The Boston Consulting Group
    The Boston Consulting Group
    Mentorship program
    10/2018 - 03/2019
Academic Activities
2025
• Programm committee of the CVPR 2025 DriveX Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving
• Reviewer at IROS 2025
• Reviewer at CVPR 2025
Selected Publications
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals

Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meeß

Neural Information Processing Systems (NeurIPS) 2025

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals

Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meeß

Neural Information Processing Systems (NeurIPS) 2025

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles

Rui Song*, Chenwei Liang*, Hu Cao, Zhiran Yan, Walter Zimmer, Markus Gross, Andreas Festag, Alois Knoll (* equal contribution)

Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles

Rui Song*, Chenwei Liang*, Hu Cao, Zhiran Yan, Walter Zimmer, Markus Gross, Andreas Festag, Alois Knoll (* equal contribution)

Conference on Computer Vision and Pattern Recognition (CVPR) 2024