activity
20172022
most citedActivityNet Challenge 2017 Summary

50 citations · 53 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2022

SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition

Victor Escorcia, Ricardo Guerrero, Xiatian Zhu +1

Learning an egocentric action recognition model from video data is challenging due to distractors (e.g., irrelevant objects) in the background. Further integrating object informati…

cs.CV20201 cited

Boundary-sensitive Pre-training for Temporal Localization in Videos

Mengmeng Xu, Juan-Manuel Perez-Rua, Victor Escorcia +5

Many video analysis tasks require temporal localization thus detection of content changes. However, most existing models developed for these tasks are pre-trained on general video…

cs.CV20202 cited

Egocentric Action Recognition by Video Attention and Temporal Context

Juan-Manuel Perez-Rua, Antoine Toisoul, Brais Martinez +4

We present the submission of Samsung AI Centre Cambridge to the CVPR2020 EPIC-Kitchens Action Recognition Challenge. In this challenge, action recognition is posed as the problem o…

cs.CV2020

Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention

Juan-Manuel Perez-Rua, Brais Martinez, Xiatian Zhu +3

Attentive video modeling is essential for action recognition in unconstrained videos due to their rich yet redundant information over space and time. However, introducing attention…

cs.CV2018

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary

Bernard Ghanem, Juan Carlos Niebles, Cees Snoek +6

The 3rd annual installment of the ActivityNet Large- Scale Activity Recognition Challenge, held as a full-day workshop in CVPR 2018, focused on the recognition of daily life, high-…

cs.CV2018

Diagnosing Error in Temporal Action Detectors

Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia +1

Despite the recent progress in video understanding and the continuous rate of improvement in temporal action localization throughout the years, it is still unclear how far (or clos…