45 citations · 73 across the 12 of their papers we have counts for
6 papers · 1 filter
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection
Zekun Li, Runyu Guan, Qianmu Yu +2
Many historical map sheets are publicly available for studies that require long-term historical geographic data. The cartographic design of these maps includes a combination of map…
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk +2
Thousands of scanned historical topographic maps contain valuable information covering long periods of time, such as how the hydrography of a region has changed over time. Efficien…
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk +2
The increasing availability and accessibility of numerous overhead images allows us to estimate and assess the spatial arrangement of groups of geospatial target objects, which can…
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction
Yijun Lin, Yao-Yi Chiang, Meredith Franklin +2
Many scientific prediction problems have spatiotemporal data- and modeling-related challenges in handling complex variations in space and time using only sparse and unevenly distri…
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol +4
Historical maps contain detailed geographic information difficult to find elsewhere covering long-periods of time (e.g., 125 years for the historical topographic maps in the US). H…
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Yijun Lin, Yao-Yi Chiang
Large network logs, recording multivariate time series generated from heterogeneous devices and sensors in a network, can often reveal important information about abnormal activiti…