Scholar
Jonathan Sauder
Google Scholar ID: P1YcQw4AAAAJ
PhD Student at EPFL
Citations & Impact
Citations
411
H-index
5
i10-index
4
Publications
13
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs (Preprint, 2025)
- Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM (ECCV, 2024)
- DeepReefMap: Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning (Methods in Ecology and Evolution, 2023)
- Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery (IEEE Journal on Selected Areas in Information Theory, 2022)
- Neurally Augmented ALISTA (ICLR, 2021)
- Self-supervised deep learning on point clouds by reconstructing space (NeurIPS, 2019)
Research Experience
- Currently conducting research at EPFL, focusing on the intersection of 3D computer vision, machine learning, and coral reefs.
Education
- PhD student at EPFL in Lausanne, Switzerland, supervised by Devis Tuia (leading the Environmental Computational Science and Earth Observation Laboratory) and Anders Meibom (leading the Laboratory for Biological Geochemistry). Previously obtained a master's degree in computer science from TU Berlin, where he worked on research in machine learning, signal processing, and compressed sensing.
Background
- PhD student at the intersection of 3D computer vision, machine learning, and coral reefs. Goal is to use recent AI breakthroughs to create next-generation tools to monitor ocean ecosystems at unprecedented scale.
