activity
20152026
most citedScaling Egocentric Vision: The EPIC-KITCHENS Dataset

283 citations · 470 across the 84 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

UnweaveNet: Unweaving Activity Stories

Will Price, Carl Vondrick, Dima Damen

Our lives can be seen as a complex weaving of activities; we switch from one activity to another, to maximise our achievements or in reaction to demands placed upon us. Observing a…

cs.CV2021★ 1 cited

With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition

Evangelos Kazakos, Jaesung Huh, Arsha Nagrani +2

In egocentric videos, actions occur in quick succession. We capitalise on the action's temporal context and propose a method that learns to attend to surrounding actions in order t…

cs.CV2021

Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval

Jonathan Munro, Michael Wray, Diane Larlus +2

Given a gallery of uncaptioned video sequences, this paper considers the task of retrieving videos based on their relevance to an unseen text query. To compensate for the lack of a…

cs.CV2021★ 7 cited

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne +82

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…

cs.CV2021

On Semantic Similarity in Video Retrieval

Michael Wray, Hazel Doughty, Dima Damen

Current video retrieval efforts all found their evaluation on an instance-based assumption, that only a single caption is relevant to a query video and vice versa. We demonstrate t…

cs.SD2021

Slow-Fast Auditory Streams For Audio Recognition

Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman +1

We propose a two-stream convolutional network for audio recognition, that operates on time-frequency spectrogram inputs. Following similar success in visual recognition, we learn S…

cs.CV2021

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

Toby Perrett, Alessandro Masullo, Tilo Burghardt +2

We propose a novel approach to few-shot action recognition, finding temporally-corresponding frame tuples between the query and videos in the support set. Distinct from previous fe…