5 citations · 5 across the 2 of their papers we have counts for
16 papers
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…
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…
Action Modifiers: Learning from Adverbs in Instructional Videos
Hazel Doughty, Ivan Laptev, Walterio Mayol-Cuevas +1
We present a method to learn a representation for adverbs from instructional videos using weak supervision from the accompanying narrations. Key to our method is the fact that the…
Weakly-Supervised Completion Moment Detection using Temporal Attention
Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen
Monitoring the progression of an action towards completion offers fine grained insight into the actor's behaviour. In this work, we target detecting the completion moment of action…
Sit-to-Stand Analysis in the Wild using Silhouettes for Longitudinal Health Monitoring
Alessandro Masullo, Tilo Burghardt, Toby Perrett +2
We present the first fully automated Sit-to-Stand or Stand-to-Sit (StS) analysis framework for long-term monitoring of patients in free-living environments using video silhouettes.…