Ganlin Zhang

Ganlin Zhang is a PhD researcher at the Technical University of Munich (TUM) within the Computer Vision Group (Informatics 9). His work focuses on 3D Vision, Visual SLAM, and 3D Reconstruction using deep learning and geometric processing techniques.

• Key research areas: 3D Vision, Visual SLAM, Structure from Motion, 3D Reconstruction, Deep Learning

Recent publications highlight advancements in RGB-only SLAM systems with implicit encodings, dynamic scene bundle adjustment, and robust rotation averaging methods. His work bridges classical geometry processing with modern AI approaches for spatial AI applications.

He collaborates with leading researchers in the field, including Luc Van Gool and Michael R. Oswald, and contributes to cutting-edge developments in computer vision through active participation in conferences like CVPR and ICCV.

The Computer Vision Group at TUM provides a vibrant research environment for his work, with access to state-of-the-art facilities at Boltzmannstrasse 3, Garching, Germany.