Mapping the world population one building at a time

Mapping the world population one building at a time

15 December 2017

Hai-Anh H. Dang

Papers citing "Mapping the world population one building at a time"

16 / 16 papers shown

Title
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents Felix Wagner Florian Nachtigall Lukas Franken Nikola Milojevic-Dupont R. Pereira Nicolas Koch J. Runge Marta C. González F. Creutzig AI4CE 18 1 0 31 Aug 2023
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask M. A. Rahman Muhammad Ahmad Waseem Zubair Khalid Muhammad Ahmad Tahir M. Uppal 19 0 0 29 Jul 2023
Interpreting wealth distribution via poverty map inference using multimodal data Lisette Espin Noboa János Kertész M. Karsai 11 3 0 17 Feb 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 19 73 0 25 Nov 2022
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata Nando Metzger John E. Vargas-Muñoz Rodrigo Caye Daudt B. Kellenberger Thao T-T Whelan Ferda Ofli Muhammad Imran Konrad Schindler D. Tuia 16 19 0 08 Nov 2022
Applying data technologies to combat AMR: current status, challenges, and opportunities on the way forward L. Chindelevitch E. Jauneikaite N. Wheeler K. Allel Bede Yaw Ansiri-Asafoakaa ... R. Stocker L. Unruh Daniel Waruingi H. Graz M. V. Dongen 30 4 0 05 Jul 2022
Census-Independent Population Estimation using Representation Learning Isaac Neal S. Seth Gary R. Watmough M. Diallo AI4TS 14 13 0 06 Oct 2021
Mapping Vulnerable Populations with AI B. Kellenberger John E. Vargas-Muñoz D. Tuia Rodrigo Caye Daudt Konrad Schindler Thao T-T Whelan Brenda Ayo Ferda Ofli Muhammad Imran 14 1 0 29 Jul 2021
Micro-Estimates of Wealth for all Low- and Middle-Income Countries Guanghua Chi Han Fang S. Chatterjee J. Blumenstock 10 134 0 15 Apr 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 45 1,372 0 14 Dec 2020
Robust Deep Learning with Active Noise Cancellation for Spatial Computing Li Chen David Yang Purvi Goel I. Kabul 9 2 0 16 Nov 2020
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement Peri Akiva Matthew Purri Kristin J. Dana B. Tellman Tyler Anderson 17 25 0 11 Oct 2020
Using satellite imagery to understand and promote sustainable development Marshall Burke Anne Driscoll David B. Lobell Stefano Ermon 12 310 0 23 Sep 2020
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery C. Corbane V. Syrris F. Sabo P. Politis M. Melchiorri M. Pesaresi P. Soille T. Kemper 11 110 0 05 Jun 2020
Map Generation from Large Scale Incomplete and Inaccurate Data Labels Rui Zhang C. Albrecht Wei Zhang Xiaodong Cui Ulrich Finkler David S. Kung Siyuan Lu 9 12 0 20 May 2020
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery Wenjie Hu Jay Patel Zoe-Alanah Robert P. Novosad S. Asher Zhongyi Tang Marshall Burke David B. Lobell Stefano Ermon 30 37 0 04 May 2019