Accepted Papers

Papers

• Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?

  • Satej Soman (University of California, Berkeley)*; Emily L Aiken (University of California, Berkeley); Esther Rolf (Harvard University); Joshua Blumenstock (University of California, Berkeley)

• Unsupervised Wildfire Change Detection based on Contrastive Learning

  • Beichen Zhang (University of Nebraska-Lincoln)*; Huiqi Wang (UC Berkeley); Amani Alabri (Boston University); Karol Bot (Instituto Superior de Agronomia - Lisbon University); Cole McCall (Northwest Nazarene University); Dale Hamilton (Northwest Nazarene University); Vít Růžička (University of Oxford)

• Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs

  • Claire Robin (Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Jena, Germany)*; Christian Requena-Mesa (Computer Vision Group, Friedrich Schiller University Jena; DLR Institute of Data Science, Jena; Max Planck Institute for Biogeochemistry, Jena); Vitus Benson (Max-Planck-Institute for Biogeochemistry); Lazaro Alonzo (Max-Planck-Institute for Biogeochemistry); Jeran Poehls (Max-Planck-Institute for Biogeochemistry); Nuno Carvalhais (Max-Planck-Institute for Biogeochemistry); Markus Reichstein (Max Planck Institute for Biogeochemistry, Jena; Michael Stifel Center Jena for Data-Driven and Simulation Science, Jena)

• A General-Purpose Neural Architecture for Geospatial Systems

  • Martin Weiss (Mila)*; Nasim Rahaman (Max Planck Institute for Intelligent Systems); Frederik Träuble (MPI for Intelligent Systems); Francesco Locatello (ETH Zurich ); Alexandre Lacoste (Element AI); Yoshua Bengio (Mila); Li Erran Li (Columbia University); Chris J Pal (MILA, Polytechnique Montréal, Element AI); Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)

• Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

  • Md Nasir (Microsoft)*; Tina Sederholm (Microsoft); Anshu Sharma (SEEDS); Sumedh Ranjan Ghatage (Gramener); Sundeep Reddy Mallu (Gramener); Rahul Dodhia (Microsoft); Juan M Lavista Ferres (Microsoft)

• SAR-based landslide classification pretraining leads to better segmentation

  • Ragini Bal Mahesh (German Aerospace Center DLR); Ioannis Prapas (National Observatory of Athens); Wei Ji Leong (The Ohio State University); Vanessa Boehm (UC Berkeley)*; Edoardo Nemni (United Nations Satellite Centre (UNOSAT)); Freddie Kalaitzis (University of Oxford); Siddha Ganju (Nvidia); Raul Ramos-Pollan (Universidad de Antioquia)

• Multi-band Image Classification with Ultra-Lean Complex-Valued Models

  • Utkarsh Singhal (UC Berkeley)*; Stella X Yu (UC Berkeley / ICSI); Zackery Steck (Etegent Technologies, Ltd.); Scott J Kangas (Etegent Technologies), Aaron A. Reite (National Geospatial-Intelligence Agency)