283 citations · 470 across the 84 of their papers we have counts for
6 papers · 1 filter
Play Fair: Frame Attributions in Video Models
Will Price, Dima Damen
In this paper, we introduce an attribution method for explaining action recognition models. Such models fuse information from multiple frames within a video, through score aggregat…
Supervision Levels Scale (SLS)
Dima Damen, Michael Wray
We propose a three-dimensional discrete and incremental scale to encode a method's level of supervision - i.e. the data and labels used when training a model to achieve a given per…
Meta-Learning with Context-Agnostic Initialisations
Toby Perrett, Alessandro Masullo, Tilo Burghardt +2
Meta-learning approaches have addressed few-shot problems by finding initialisations suited for fine-tuning to target tasks. Often there are additional properties within training d…
Rescaling Egocentric Vision
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M fra…
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
Since its introduction in 2018, EPIC-KITCHENS has attracted attention as the largest egocentric video benchmark, offering a unique viewpoint on people's interaction with objects, t…
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
Jonathan Munro, Dima Damen
Fine-grained action recognition datasets exhibit environmental bias, where multiple video sequences are captured from a limited number of environments. Training a model in one envi…