activity
20232026
most citedLaboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

16 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

TraversRL: Traversable Pedestrian Pathway Generation With Reinforcement Learning

Bin Han, Robert Wolfe, Bill Howe

Automatically generating pedestrian pathways from aerial images requires producing a connected network suitable for routing, not just detecting where sidewalks appear. Sidewalks an…

cs.AI2025★ 1 cited

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses

Bin Han, Robert Wolfe, Anat Caspi +1

We explore the application of large language models (LLMs) to empower domain experts in integrating large, heterogeneous, and noisy urban spatial datasets. Traditional rule-based i…

cs.CV2024

Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale

Yuxiang Zhang, Bill Howe, Anat Caspi

While advances in mobility technology including autonomous vehicles and multi-modal navigation systems can improve mobility equity for people with disabilities, these technologies…

cs.CV2024

Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)

Bin Han, Yiwei Yang, Anat Caspi +1

Equitable urban transportation applications require high-fidelity digital representations of the built environment: not just streets and sidewalks, but bike lanes, marked and unmar…

cs.CV2024

PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery

Yuxiang Zhang, Bill Howe, Sachin Mehta +2

Applications to support pedestrian mobility in urban areas require a complete, and routable graph representation of the built environment. Globally available information, including…

cs.LG2024★ 16 cited

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

Robert Wolfe, Isaac Slaughter, Bin Han +8

The rapid proliferation of generative AI has raised questions about the competitiveness of lower-parameter, locally tunable, open-weight models relative to high-parameter, API-guar…

cs.CV2023

Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology

Lucas Rosenblatt, Bin Han, Erin Posthumus +2

An invasive species of grass known as "buffelgrass" contributes to severe wildfires and biodiversity loss in the Southwest United States. We tackle the problem of predicting buffel…