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20242026
most citedExploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging

2 citations · 2 across the 8 of their papers we have counts for

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Showing 2024 · cs.CVShow all

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cs.CV2024

iRBSM: A Deep Implicit 3D Breast Shape Model

Maximilian Weiherer, Antonia von Riedheim, Vanessa Brébant +2

We present the first deep implicit 3D shape model of the female breast, building upon and improving the recently proposed Regensburg Breast Shape Model (RBSM). Compared to its PCA-…

cs.CV2024

Matérn Kernels for Tunable Implicit Surface Reconstruction

Maximilian Weiherer, Bernhard Egger

We propose to use the family of Matérn kernels for implicit surface reconstruction, building upon the recent success of kernel methods for 3D reconstruction of oriented point cloud…

cs.CV2024

AMOR: Ambiguous Authorship Order

Maximilian Weiherer, Andreea Dogaru, Shreya Kapoor +2

As we all know, writing scientific papers together with our beloved colleagues is a truly remarkable experience (partially): endless discussions about the same useless paragraph ov…

cs.CV2024★ 2 cited

Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging

Mert Özer, Maximilian Weiherer, Martin Hundhausen +1

Neural Radiance Fields (NeRFs) quickly evolved as the new de-facto standard for the task of novel view synthesis when trained on a set of RGB images. In this paper, we conduct a co…

cs.CV2024

GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance

Shiyu Li, Hannah Schieber, Niklas Corell +3

Guidance for assemblable parts is a promising field for augmented reality. Augmented reality assembly guidance requires 6D object poses of target objects in real time. Especially i…