2 citations · 4 across the 5 of their papers we have counts for
6 papers
Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA
Carlos Celemin, Benedict Wilkins, Adrián Barahona-Ríos +2
In this work, we study the use of Vision-Language Models (VLMs) for anomaly detection in an agent-driven game Quality Assurance (QA) pipeline focusing on geometry clipping. In this…
TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4
Vision-language models (VLMs) are increasingly being explored for video game quality assurance, especially gameplay glitch detection. Most existing evaluations, however, treat glit…
RefGlitch-Bench: A Benchmark for Reference-based Gameplay Glitch Detection with Vision-Language Models
Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4
Visual glitches in video games degrade player experience and perceived quality, yet manual quality assurance cannot keep pace with the growing test surface of modern game developme…
World of Bugs: A Platform for Automated Bug Detection in 3D Video Games
Benedict Wilkins, Kostas Stathis
We present World of Bugs (WOB), an open platform that aims to support Automated Bug Detection (ABD) research in video games. We discuss some open problems in ABD and how they relat…
Learning to Identify Perceptual Bugs in 3D Video Games
Benedict Wilkins, Kostas Stathis
Automated Bug Detection (ABD) in video games is composed of two distinct but complementary problems: automated game exploration and bug identification. Automated game exploration h…
A Metric Learning Approach to Anomaly Detection in Video Games
Benedict Wilkins, Chris Watkins, Kostas Stathis
With the aim of designing automated tools that assist in the video game quality assurance process, we frame the problem of identifying bugs in video games as an anomaly detection (…