Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation. - Henri Meess; Jeremias Gerner; Daniel Hein 001; Stefanie Schmidtner; Gordon Elger (AAMAS, 2022)

Dynamic Obstacle Avoidance for UAVs using MPC and GP-Based Motion Forecast. - Ertug Olcay; Henri Meeß; Gordon Elger (ECC, 2024)

Evolutionary algorithms for a simheuristic optimization of the product-service system design. - Henri Meeß; Michael Herzog; Enes Alp; Bernd Kuhlenkötter (J. Intell. Manuf., 2024)

First steps towards real-world traffic signal control optimisation by reinforcement learning. - Henri Meess; Jeremias Gerner; Daniel Hein 001; Stefanie Schmidtner; Gordon Elger; Klaus Bogenberger (J. Simulation, 2024)

High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous Flight. - Cédric Vincent; Taehyoung Kim; Henri Meeß (CVPR, 2025)

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals. - Markus Gross 003; Aya Fahmy; Danit Niwattananan; Dominik Muhle; Rui Song 003; Daniel Cremers; Henri Meeß (CoRR, 2025)