activity
20182022
most citedThe EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

7 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition

Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha +1

Precisely naming the action depicted in a video can be a challenging and oftentimes ambiguous task. In contrast to object instances represented as nouns (e.g. dog, cat, chair, etc.…

cs.CV20207 cited

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…

cs.CV2019

Action Recognition from Single Timestamp Supervision in Untrimmed Videos

Davide Moltisanti, Sanja Fidler, Dima Damen

Recognising actions in videos relies on labelled supervision during training, typically the start and end times of each action instance. This supervision is not only subjective, bu…

cs.CV2018

Towards an Unequivocal Representation of Actions

Michael Wray, Davide Moltisanti, Dima Damen

This work introduces verb-only representations for actions and interactions; the problem of describing similar motions (e.g. 'open door', 'open cupboard'), and distinguish differin…

cs.CV2018

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8

First-person vision is gaining interest as it offers a unique viewpoint on people's interaction with objects, their attention, and even intention. However, progress in this challen…