Search Results for author: Helmut Mayer

Found 5 papers, 4 papers with code

CALVIS: chest, waist and pelvis circumference from 3D human body meshes as ground truth for deep learning

1 code implementation12 Feb 2020 Yansel Gonzalez Tejeda, Helmut Mayer

In this paper we present CALVIS, a method to calculate $\textbf{C}$hest, w$\textbf{A}$ist and pe$\textbf{LVIS}$ circumference from 3D human body meshes.

RPBA -- Robust Parallel Bundle Adjustment Based on Covariance Information

1 code implementation17 Oct 2019 Helmut Mayer

We show that our novel approach is suitable for robust parallel bundle adjustment and demonstrate its capabilities in comparison to the basic consensus-based approach as well as a state-of-the-art parallel implementation of bundle adjustment.

Structure from Motion

Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks

1 code implementation23 May 2019 Michael Kissner, Helmut Mayer

Many current methods to learn intuitive physics are based on interaction networks and similar approaches.

A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-Learning

1 code implementation22 May 2019 Michael Kissner, Helmut Mayer

We follow the idea of formulating vision as inverse graphics and propose a new type of element for this task, a neural-symbolic capsule.

Few-Shot Learning

Modeling Urban Scenes From Pointclouds

no code implementations ICCV 2017 William Nguatem, Helmut Mayer

In contrast to existing approaches, MUSP is robust, scalable and provides a more complete description by not making a Manhattan-World assumption and modeling both buildings (with polyhedra) as well as the non-planar ground (using NURBS).

Scene Segmentation

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