5 citations · 7 across the 5 of their papers we have counts for
6 papers
LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration
Chu Li, Yotam Sechayk, Jared Hwang +2
People with a poor sense of direction (SOD) struggle to build cognitive maps for effective spatial navigation, and existing navigation tools prioritize efficiency over spatial lear…
Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations
Emily Reif, Claire Yang, Jared Hwang +3
Users typically interact with and evaluate language models via single outputs, but each output is just one sample from a broad distribution of possible completions. This interactio…
"Where Can I Park?" Understanding Human Perspectives and Scalably Detecting Disability Parking from Aerial Imagery
Jared Hwang, Chu Li, Hanbyul Kang +2
Accessible parking is critical for people with disabilities (PwDs), allowing equitable access to destinations, independent mobility, and community participation. Despite mandates,…
"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
Jon E. Froehlich, Jared Hwang, Zeyu Wang +7
Interactive digital maps have revolutionized how people travel and learn about the world; however, they rely on pre-existing structured data in GIS databases (e.g., road networks,…
RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata
John S. O'Meara, Jared Hwang, Zeyu Wang +2
Curb ramps are critical for urban accessibility, but robustly detecting them in images remains an open problem due to the lack of large-scale, high-quality datasets. While prior wo…
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones
Asanobu Kitamoto, Jared Hwang, Bastien Vuillod +3
This paper presents the official release of the Digital Typhoon dataset, the longest typhoon satellite image dataset for 40+ years aimed at benchmarking machine learning models for…