Jonathan Paul Sauder

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Countless signal processing applications include the reconstruction of signals from few indirect linear measurements. The design of effective measurement operators is typically constrained by the underlying hardware and physics, posing a challenging and of ...

Underwater scenes are challenging for computer vision methods due to color degradation caused by the water column and detrimental lighting effects such as caustic caused by sunlight refracting on a wavy surface. These challenges impede widespread use of co ...

Coral reefs are crucial for biodiversity and provide vital resources for humankind. But despite such a central role, they are confronted to increasing threats linked to climate change, pollution, and local stressors. To ensure effective conservation, effic ...

Example Data for DeepReefMap This dataset contains input videos in MP4 format taken with GoPro Hero 10 Cameras in Reefs in the Red Sea to demonstrate the DeepReefMap tool, which is described in the paper "Scalable Semantic 3D Mapping of Coral Reefs with De ...

Jonathan Paul Sauder

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

Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM

Semantic Segmentation of Benthic Classes in Reef Environments Using a Large Vision Transformer

Data for Paper "Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning"