1 citations · 1 across the 4 of their papers we have counts for
4 papers
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha +16
We present a validation dataset of newly-collected kitchen-based egocentric videos, manually annotated with highly detailed and interconnected ground-truth labels covering: recipe…
Moment of Untruth: Dealing with Negative Queries in Video Moment Retrieval
Kevin Flanagan, Dima Damen, Michael Wray
Video Moment Retrieval is a common task to evaluate the performance of visual-language models - it involves localising start and end times of moments in videos from query sentences…
Video Editing for Video Retrieval
Bin Zhu, Kevin Flanagan, Adriano Fragomeni +2
Though pre-training vision-language models have demonstrated significant benefits in boosting video-text retrieval performance from large-scale web videos, fine-tuning still plays…
Learning Temporal Sentence Grounding From Narrated EgoVideos
Kevin Flanagan, Dima Damen, Michael Wray
The onset of long-form egocentric datasets such as Ego4D and EPIC-Kitchens presents a new challenge for the task of Temporal Sentence Grounding (TSG). Compared to traditional bench…