activity
20092025
most citedActive Learning with Multiple Views

237 citations · 531 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2025

DIGMAPPER: A Modular System for Automated Geologic Map Digitization

Weiwei Duan, Michael P. Gerlek, Steven N. Minton +8

Historical geologic maps contain rich geospatial information, such as rock units, faults, folds, and bedding planes, that is critical for assessing mineral resources essential to r…

cs.CV2022★ 45 cited

Towards the automated large-scale reconstruction of past road networks from historical maps

Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang +1

Transportation infrastructure, such as road or railroad networks, represent a fundamental component of our civilization. For sustainable planning and informed decision making, a th…

cs.CV2021★ 13 cited

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…

eess.IV2021

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…

cs.AI2021

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…

cs.AI2016

Learning the Semantics of Structured Data Sources

Mohsen Taheriyan, Craig A. Knoblock, Pedro Szekely +1

Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data that can be leveraged to build and augment kn…