Name: Norman Müller
Position: Ph.D Candidate
Phone: +49-89-289-19595
Room No: 02.13.035


I am PhD Student in the Visual Computing Lab advised by Prof. Matthias Nießner. I received my Bachelor’s and Master’s degree in Computer Science as well as in Mathematics at RWTH Aachen University. In my current work, I research tracking, segmentation, and completion in dynamic 3D scenes.



AutoRF: Learning 3D Object Radiance Fields from Single View Observations
Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder
CVPR 2022
From just a single view, we learn neural 3D object representations for free novel view synthesis. This setting is in stark contrast to the majority of existing works that leverage multiple views of the same object, employ explicit priors during training, or require pixel-perfect annotations. Our method decouples object geometry, appearance, and pose enabling generalization to unseen objects, even across different datasets of challenging real-world street scenes such as nuScenes, KITTI, and Mapillary Metropolis.
[video][bibtex][project page]


Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner
CVPR 2021
We introduce a novel method to jointly predict complete geometry and dense correspondences of rigidly moving objects for 3D multi-object tracking on RGB-D sequences. By hallucinating unseen regions of objects, we can obtain additional correspondences between the same instance, thus providing robust tracking even under strong change of appearance.
[video][bibtex][project page]