6 papers
A Contrastive Learning Framework Empowered by Attention-based Feature Adaptation for Street-View Image Classification
Qi You, Yitai Cheng, Zichao Zeng +1
Street-view image attribute classification is a vital downstream task of image classification, enabling applications such as autonomous driving, urban analytics, and high-definitio…
Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis
Jingwei Guo, Yitai Cheng, Meihui Wang +5
Cyclists face a disproportionate risk of injury, yet conventional crash records are too sparse to identify risk factors at fine spatial and temporal scales. Recently, naturalistic…
V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?
Natchapon Jongwiriyanurak, Zichao Zeng, June Moh Goo +7
Road safety assessments are critical yet costly, especially in Low- and Middle-Income Countries (LMICs), where most roads remain unrated. Traditional methods require expert annotat…
CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images
Ilya Ilyankou, Natchapon Jongwiriyanurak, Tao Cheng +1
We present a CLIP-based, multi-modal, multi-label classifier for predicting geographical context tags from landscape photos in the Geograph dataset--a crowdsourced image archive sp…
CycleTrajectory: An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories to Understand Cycling Behavior and Environment
Meihui Wang, James Haworth, Ilya Ilyankou +1
Global positioning system (GPS) trajectories recorded by mobile phones or action cameras offer valuable insights into sustainable mobility, as they provide fine-scale spatial and t…
Quantifying Geospatial in the Common Crawl Corpus
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
Large language models (LLMs) exhibit emerging geospatial capabilities, stemming from their pre-training on vast unlabelled text datasets that are often derived from the Common Craw…