Highlights
Awards, academic honors, and research recognized with oral, highlight, and spotlight presentations.
Awards & honors
- 2024
MDSI Best Paper of the Year Award
First place for DiffRF, awarded by the Munich Data Science Institute.
- 2016
Springorum Medal
For excellent academic performance in the Master's degree in Mathematics at RWTH Aachen.
- 2016
Springorum Medal
For excellent academic performance in the Master's degree in Computer Science at RWTH Aachen.
- 2013
Schöneborn Award
For outstanding achievements in the Bachelor's degree in Computer Science at RWTH Aachen.
Recognized research
2025
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FlowR: Flowing from Sparse to Dense 3D Reconstructions
Citation
@article{fischer2025flowr, author = {Fischer, Tobias and Bul{\`o}, Samuel Rota and Yang, Yung-Hsu and Keetha, Nikhil Varma and Porzi, Lorenzo and M{\"u}ller, Norman and Schwarz, Katja and Luiten, Jonathon and Pollefeys, Marc and Kontschieder, Peter}, title = {{FlowR}: Flowing from Sparse to Dense 3D Reconstructions}, journal = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) [Highlight]}, year = {2025}, url = {https://arxiv.org/abs/2504.01647}, eprint = {2504.01647} } -
Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation
Citation
@article{simonelli2025easy3d, title = {Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation}, author = {Simonelli, Andrea and M{\"u}ller, Norman and Kontschieder, Peter}, journal = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) [Oral]}, year = {2025}, url = {https://arxiv.org/abs/2504.11024}, eprint = {2504.11024} }
2023
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DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Generate 3D radiance fields directly with rendering-guided diffusion.
Citation
@inproceedings{muller2023diffrf, title = {DiffRF: Rendering-Guided 3D Radiance Field Diffusion}, author = {M{\"u}ller, Norman and Siddiqui, Yawar and Porzi, Lorenzo and Bul{\`o}, Samuel Rota and Kontschieder, Peter and Nie{\ss}ner, Matthias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Spotlight]}, pages = {12568--12577}, year = {2023}, } -
Panoptic Lifting for 3D Scene Understanding with Neural Fields
Citation
@inproceedings{siddiqui2022panoptic, title = {Panoptic Lifting for 3D Scene Understanding with Neural Fields}, author = {Siddiqui, Yawar and Porzi, Lorenzo and Bul{\'o}, Samuel Rota and M{\"u}ller, Norman and Nie{\ss}ner, Matthias and Dai, Angela and Kontschieder, Peter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Spotlight]}, pages = {12568--12577}, year = {2023}, }