Hi, I’m Thomas. 🤗

I am currently with the Bundesamt für Kartographie und Geodäsie (https://www.bkg.bund.de/), working at the intersection of digital twins and large-scale airborne LiDAR data. Previously, I obtained my Ph.D. (02/2022 - 07/2025) at the Technical University of Darmstadt under the supervision of Prof. Dr. Max Mühlhäuser and Dr. Alejandro Sanchez Guinea (my dissertation). My work primarily focused on LiDAR-based scene understanding tasks and (multi-modal) representation learning. More specifically, I have worked on various interesting problems and areas, including LiDAR motion segmentation, LiDAR semantic segmentation, crowd simulation, and multi-modal contrastive learning. Please find my peer-reviewed publications below if you are interested in my work.

Recent highlights

• [Jun, 2025] 🔥 Paper accepted to ICCV 2025
• [Jan, 2025] 🤘 Paper accepted to ICRA 2025
• [Jul, 2024] 🤘 Paper accepted to IROS 2024 [Oral]
• [April, 2024] 🤘 Paper accepted to the SynData4CV Workshop@ CVPR 2024
• [Feb, 2024] 🤘 Paper accepted to the Second Tiny Papers Track at ICLR 2024 [Invite to present]
• [Oct, 2022] 🤘 Paper accepted to WACV 2023
• [Jul, 2022] 🔥 Got accepted into the Software Campus (2022) program. Update Dec, 2023: Finished all 6 trainings on methods, social competences, and leadership.
• [Jun, 2022] 🤘 Paper accepted to ITSC 2022

Peer-reviewed Publications

DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea
ICCV 2025
Arxiv | Project Page | Code

Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn Dynamics
Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea
ICRA 2025
Arxiv | Project Page | Code

LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training
Thomas Kreutz, Jens Lemke, Max Mühlhäuser, Alejandro Sanchez Guinea
IROS 2024 [Oral]
PDF | Code

Implicit Neural Clustering
Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea
Synthetic Data for Computer Vision Workshop@ CVPR 2024
PDF

Common Sense Initialization of Mixture Density Networks for Motion Planning with Overestimated Number of Components
Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea
The Second Tiny Papers Track at ICLR 2024 [Invite to present]
PDF

Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings With Multivariate Occupancy Time Series
Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea
WACV 2023
PDF | Code

Unsupervised Driving Event Discovery based on Vehicle CAN-Data
Thomas Kreutz, Ousama Esbel, Max Mühlhäuser, Alejandro Sanchez Guinea
ITSC 2022
PDF