Search Results for author: Jonathan Sauder

Found 7 papers, 2 papers with code

Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning

no code implementations22 Sep 2023 Jonathan Sauder, Guilhem Banc-Prandi, Anders Meibom, Devis Tuia

This paper presents a new paradigm for mapping underwater environments from ego-motion video, unifying 3D mapping systems that use machine learning to adapt to challenging conditions under water, combined with a modern approach for semantic segmentation of images.

Image Segmentation Semantic Segmentation

Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery

1 code implementation7 Feb 2022 Jonathan Sauder, Martin Genzel, Peter Jung

Countless signal processing applications include the reconstruction of signals from few indirect linear measurements.

Rolling Shutter Correction

Towards Neurally Augmented ALISTA

no code implementations23 Oct 2020 Freya Behrens, Jonathan Sauder, Peter Jung

It is well-established that many iterative sparse reconstruction algorithms such as ISTA can be unrolled to yield a learnable neural network for improved empirical performance.

Neurally Augmented ALISTA

1 code implementation ICLR 2021 Freya Behrens, Jonathan Sauder, Peter Jung

A prime example is learned ISTA (LISTA) where weights, step sizes and thresholds are learned from training data.

Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

no code implementations NeurIPS 2019 Jonathan Sauder, Bjarne Sievers

Recently, deep neural networks operating on raw point cloud data have shown promising results on supervised learning tasks such as object classification and semantic segmentation.

3D Point Cloud Linear Classification General Classification +4

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