Scholar
Maximilian Weiherer
Google Scholar ID: TR6QYOoAAAAJ
PhD Student, Friedrich-Alexander-Universität Erlangen-Nürnberg
Citations & Impact
Citations
154
H-index
8
i10-index
7
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications include: Learning Neural Parametric 3D Breast Shape Models for Metrical Surface Reconstruction From Monocular RGB Videos, Multi-Spectral Gaussian Splatting with Neural Color Representation, Towards Integrating Multi-Spectral Imaging with Gaussian Splatting, iRBSM: A Deep Implicit 3D Breast Shape Model, Matérn Kernels for Tunable Implicit Surface Reconstruction, Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging, Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo.
Research Experience
- PhD student at FAU Erlangen-Nürnberg, advised by Prof. Bernhard Egger. Part of the Cognitive Computer Vision Lab at the Chair of Visual Computing. Before joining FAU, worked as a Student Researcher at the Regensburg Medical Image Computing (ReMIC) Lab, advised by Prof. Christoph Palm. Also spent some time at Fraunhofer IIS as part of the Image Processing and Medical Engineering Department.
Education
- B.Sc. in Computer Science from OTH Regensburg in 2019; M.Sc. in Computer Science from OTH Regensburg in 2021.
Background
- Research interests broadly centered around computer vision, computer graphics, and machine learning. Particularly interested in kernel-based 3D surface reconstruction and its theoretical connection to neural networks, and multi-modal/multi-spectral neural scene representations. Also actively working on 3D neural parametric breast shape models for low-cost and accessible breast surface reconstruction.
Miscellany
- Contact: maximilian dot weiherer at fau dot de. Google Scholar, LinkedIn, ResearchGate, and X accounts.
Co-authors