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20182023
most citedThe EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

7 citations · 12 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.CV2023

Centre Stage: Centricity-based Audio-Visual Temporal Action Detection

Hanyuan Wang, Majid Mirmehdi, Dima Damen +1

Previous one-stage action detection approaches have modelled temporal dependencies using only the visual modality. In this paper, we explore different strategies to incorporate the…

cs.CV2022

Refining Action Boundaries for One-stage Detection

Hanyuan Wang, Majid Mirmehdi, Dima Damen +1

Current one-stage action detection methods, which simultaneously predict action boundaries and the corresponding class, do not estimate or use a measure of confidence in their boun…

cs.CV2022

TVNet: Temporal Voting Network for Action Localization

Hanyuan Wang, Dima Damen, Majid Mirmehdi +1

We propose a Temporal Voting Network (TVNet) for action localization in untrimmed videos. This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accur…

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…

cs.CV2020

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…

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…