Accepted Papers
Isabelle B Tingzon (Thinking Machines Data Science); Niccolo Dejito (Thinking Machines Data Science)*; Ren Avell Flores (Thinking Machines Data Science); Rodolfo De Guzman (Thinking Machines Data Science); Liliana Carvajal (iMMAP Colombia); Katerine Erazo (iMMAP Colombia); Ivan Enrique Contreras Cala (iMMAP Colombia); Jeffrey Villaveces (iMMAP Colombia); Daniela Rubio (Premise Data); Rayid Ghani (Carnegie Mellon University)
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen (University of North Carolina at Charlotte); Sijie Zhu (University of North Carolina at Charlotte); Taojiannan Yang (University of North Carolina at Charlotte); Chen Chen (University of North Carolina at Charlotte)*
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Fantine Huot (Stanford University)*; Lily Hu (Google); Matthias Ihme (Stanford University); Qing Wang (Google); John Burge (Google); Tianjian Lu (Google); Jason Hickey (Google); Yi-fan Chen (Google); John Anderson (Google)
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques
Jihyeon Lee (Stanford University)*; Joseph Xu (Google Inc.); Kihyuk Sohn (Google); Wenhan Lu (Google Inc.); David Berthelot (Google Brain); Izzeddin Gur (); Pranav Khaitan (Google); Ke-Wei (Fiona) Huang (United Nations World Food Programme); Kyriacos Koupparis (United Nations World Food Programme); Bernhard Kowatsch (United Nations World Food Programme)
Text Analytics for Resilience-Enabled Extreme Events Reconnaissance
Alicia Y. Tsai (University of California, Berkeley)*; Selim Gunay (University of California, Berkeley); Minjune Hwang (UC Berkeley); Pengyuan Zhai (University of California, Berkeley); Chenglong Li (University of California, Berkeley); Khalid Mosalam (University of California Berkeley); Laurent El Ghaoui (UC Berkeley)
Assessing out-of-domain generalization for robust building damage detection
Vitus Benson (Max-Planck-Institute for Biogeochemistry)*; Alexander S Ecker (University of Göttingen)
Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
Jean-Baptiste Boin (CrowdAI)*; Nat Roth (CrowdAI); Jigar Doshi (CrowdAI, Inc.); Pablo Llueca (CrowdAI); Nicolas Borensztein (CrowdAI)
Predicting Human Strategies in Simulated Search and Rescue Task
Vidhi Jain (Carnegie Mellon University)*; Rohit Jena (Carnegie Mellon University); Huao Li (University of Pittsburgh); Tejus Gupta (Carnegie Mellon University); Katia Sycara (Carnegie Mellon University); Dana Hughes (Carnegie Mellon University); Michael Lewis (University of Pittsburgh)
Using Connectivity Queries to Map Network States
Alexander Rodriguez (Georgia Institute of Technology)*; Bijaya Adhikari (University of Iowa); Anil Vullikanti (Biocomplexity Institute and Dept of Computer Science, University of Virginia); Andres D. Gonzalez (University of Oklahoma); Charles Nicholson (University of Oklahoma); B. Aditya Prakash (Georgia Institute of Technology)
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks
Hadia Mohmmed Osman Samil (African Institute for Mathematical Sciences (AIMS)); Annabelle Martin (University of Montreal/Mila); Arnav Kumar Jain (Microsoft); Susan Amin (McGill University); Samira Ebrahimi Kahou (École de Technologie Supérieure)*
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
Sella Nevo (Google Research)*; Gal Elidan (Google & Hebrew University); Avinatan Hasidim (Google); Grey S Nearing (Google Research); Yossi Matias (Google)