Portrait
Markus Gross
Ph.D. Student
Technical University of Munich
Research Associate
Fraunhofer Institute IVI
Affiliated Researcher
Munich Center for Machine Learning
About Me

I'm a second-year Ph.D. student at the Computer Vision Group of the Technical University of Munich (TUM), advised by Prof. Dr. Daniel Cremers; a research associate at the Autonomous Aerial Systems Group of the Fraunhofer Institute; and an affiliated researcher at the Munich Center for Machine Learning (MCML). Prior to that, I obtained the Master of Science in Computer Science with highest distinction from the Munich University of Applied Sciences.

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

If you’re interested in collaborating or exchanging ideas, feel free to get in touch :)

News
2026
OccuFly accepted to CVPR 2026 (Oral)
2025
IPFormer accepted to NeurIPS 2025
Programm committee member of the CVPR 2025 DriveX Workshop
2024
CoHFF accepted to CVPR 2024
Education
  • Technical University of Munich
    Ph.D. Student
    Advisor: Prof. Daniel Cremers
    Computer Vision Group
    TUM School of CIT
  • Munich University of Applied Sciences
    M. Sc. in Computer Science
    Graduated with highest distinction
Experience
Scholarships
  • Friedrich Naumann Foundation for Freedom
  • Schotstek Foundation
  • The Boston Consulting Group
Selected Publications
SegFly: A 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale
SegFly: A 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale

πŸ‘₯ Markus Gross, Sai B. Matha, Rui Song, Viswanathan Muthuveerappan, Conrad Christoph, Julius Huber, Daniel Cremers

πŸ“œ Preprint. Under Review.

SegFly: A 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale

πŸ‘₯ Markus Gross, Sai B. Matha, Rui Song, Viswanathan Muthuveerappan, Conrad Christoph, Julius Huber, Daniel Cremers

πŸ“œ Preprint. Under Review.

SegFly: A 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale
SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping
SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping

πŸ‘₯ Markus Gross, Andreas Greiner, Sai B. Matha, Felix Soest, Daniel Cremers, Henri Meeß

πŸ“œ Preprint. Under Review.

SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping

πŸ‘₯ Markus Gross, Andreas Greiner, Sai B. Matha, Felix Soest, Daniel Cremers, Henri Meeß

πŸ“œ Preprint. Under Review.

SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping
OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective
OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective

πŸ‘₯ Markus Gross, Sai B. Matha, Aya Fahmy, Rui Song, Daniel Cremers, Henri Meeß

πŸ“œ Accepted to CVPR 2026 (Oral)

OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective

πŸ‘₯ Markus Gross, Sai B. Matha, Aya Fahmy, Rui Song, Daniel Cremers, Henri Meeß

πŸ“œ Accepted to CVPR 2026 (Oral)

OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals

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

πŸ“œ Advances in Neural Information Processing Systems (NeurIPS) 2025

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

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

πŸ“œ Advances in Neural Information Processing Systems (NeurIPS) 2025

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