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Found 7 papers, 2 papers with code
Modelling of Networked Measuring Systems -- From White-Box Models to Data Based Approaches
This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed.
Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training
Moreover, we propose a new method to generate 3D scenes with spherical harmonics.
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
To address these challenges, we present Tinto, a multi-sensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for non-structured 3D data like point clouds.
Applying Plain Transformers to Real-World Point Clouds
Our work provides a new baseline for future research on transformers for point clouds.
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
To enable automatic disassembly of different product types with uncertain conditions and degrees of wear in remanufacturing, agile production systems that can adapt dynamically to changing requirements are needed.
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision
Self-supervised pre-training for 3D vision has drawn increasing research interest in recent years.
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning
In this application, the spectrally coded light field camera can be interpreted as a single-shot spectral depth camera.
