Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17203525
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models

Zenodo (CERN European Organization for Nuclear Research)
Geotechnical Engineering and Soil Mechanics
article

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
University of Alberta (CA)
Openalex Percentile: Top 50%
Geotechnical Engineering and Soil Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS