most citedFRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20261 cited

FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models

Jiyoon Pyo, Yuankun Jiao, Dongwon Jung +11

Cartographic reasoning is the skill of interpreting geographic relationships by aligning legends, map scales, compass directions, map texts, and geometries across one or more map i…

cs.CV2026

OMNI-Dent: Towards an Accessible and Explainable AI Framework for Automated Dental Diagnosis

Leeje Jang, Yao-Yi Chiang, Angela M. Hastings +8

Accurate dental diagnosis is essential for oral healthcare, yet many individuals lack access to timely professional evaluation. Existing AI-based methods primarily treat diagnosis…

cs.CV2026

TiCLS : Tightly Coupled Language Text Spotter

Leeje Jang, Yijun Lin, Yao-Yi Chiang +1

Scene text spotting aims to detect and recognize text in real-world images, where instances are often short, fragmented, or visually ambiguous. Existing methods primarily rely on v…

cs.HC2025

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery

Jina Kim, Leeje Jang, Yao-Yi Chiang +2

Traditionally, neighborhood studies have used interviews, surveys, and manual image annotation guided by detailed protocols to identify environmental characteristics, including phy…

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…