activity
20242026
most citedV-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.AI2026

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model

Samuel Cahyawijaya, Peerat Limkonchotiwat, Tack Hwa Wong +45

While the field of vision-language (VL) has achieved remarkable success in integrating visual and textual information across multiple languages and domains, there is still no dedic…

cs.AI2025

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places

Xinglei Wang, Tao Cheng, Stephen Law +6

Predicting individuals' next locations is a core task in human mobility modelling, with wide-ranging implications for urban planning, transportation, public policy and personalised…

cs.CV2025

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…

cs.CV2024★ 2 cited

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…

cs.CV2024★ 1 cited

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…