Martin Günther — accepted AI-conference papers

2026

Interactive Open-Set Semantic Mapping with a 3D Scene Graph Backend

Felix Igelbrink, Lennart Niecksch, Martin Günther, Marian Renz, Oscar Lima, Martin Atzmueller

IJCAI 2026

While Open-Set Semantic Mapping and 3D Semantic Scene Graphs (3DSSGs) have become established paradigms in robotic perception in recent years, most existing works are limited to small environments or sacrifice geometric detail and instance granularity for scalability. Deploying these systems at scal

Cited by 0 Scholar ↗

2020

YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose Estimation

Till Grenzdörffer, Martin Günther, Joachim Hertzberg

ICRA 2020poster

While a great variety of 3D cameras have been introduced in recent years, most publicly available datasets for object recognition and pose estimation focus on one single camera. In this work, we present a dataset of 32 scenes that have been captured by 7 different 3D cameras, totaling 49,294 frames.…

Cited by 32 Source ↗Scholar ↗