Prof. Dr. Benjamin Busam
Academic Career and Research Areas
Prof. Busam (*1987) researches how machines can perceive and understand their environment in 3D. At the intersection of computer vision, robotics, and artificial intelligence, the Chair of Photogrammetry and Remote Sensing develops methods for 3D reconstruction from image and sensor data and creates digital twins for a photorealistic and geometrically precise in-silico representation of our world. Multimodal data are automatically analyzed. Our motto: “Making Machines See and Think in 3D” – from sensor to system.
Prof. Busam studied mathematics at the Technical University of Munich, ParisTech in France, and the University of Melbourne in Australia, graduating with distinction. He earned a doctorate in computer science in the field of 3D computer vision and led research groups in industry as Head of Research at FRAMOS and as 3D Computer Vision Team Lead at Huawei Research in London. Since 2025, Benjamin Busam has been Professor and Chair of Photogrammetry and Remote Sensing at TUM.
Awards
- CVPR Outstanding Reviewer Award (2024)
- ECCV BOP Challenge Synthetic Data / Overall Segmentation Awards (2022)
- Huawei Noah's Ark Lab Innovation Pioneer Award (2019)
- ICCV MVR3D Best Student Paper Award (2017)
- European Machine Vision Association: EMVA Young Professional Award (2015)
Key Publications (all publications)
Jung HJ, Li W, Wu SC, Bittner W, Brasch N, Song J, Pérez-Pellitero E, Zhang Z, Moreau A, Navab N, Busam B: "Scrream: Scan, register, render and map: A framework for annotating accurate and dense 3d indoor scenes with a benchmark". Advances in Neural Information Processing Systems (NeurIPS). 2024; 37: 44164-44176.
AbstractJung HJ, Wu SC, Ruhkamp P, Zhai G, Schieber H, Rizzoli G, Wang P, Zhao H, Garattoni L, Meier S, Roth D, Navab N, Busam B: "Housecat6d-a large-scale multi-modal category level 6d object perception dataset with household objects in realistic scenarios". IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024; 22498-22508.
AbstractJung HJ, Ruhkamp P, Zhai G, Brasch N, Li Y, Verdie Y, Song J, Zhou Y, Armagan A, Ilic S, Leonardis A, Navab N, Busam B: "On the importance of accurate geometry data for dense 3d vision tasks". IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023; 780-791.
AbstractChen H, Manhardt F, Navab N, Busam B: "Texpose: Neural texture learning for self-supervised 6d object pose estimation". IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023; 4841-4852.
AbstractGao D, Li Y, Ruhkamp P, Skobleva I, Wysocki M, Jung HJ, Wang P, Guridi A, Busam B: "Polarimetric pose prediction". European Conference on Computer Vision (ECCV). 2022; 735-752.
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