283 citations · 470 across the 84 of their papers we have counts for
10 papers · 2 filters
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.…
Retro-Actions: Learning 'Close' by Time-Reversing 'Open' Videos
Will Price, Dima Damen
We investigate video transforms that result in class-homogeneous label-transforms. These are video transforms that consistently maintain or modify the labels of all videos in each…
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman +1
We focus on multi-modal fusion for egocentric action recognition, and propose a novel architecture for multi-modal temporal-binding, i.e. the combination of modalities within a ran…
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
Michael Wray, Diane Larlus, Gabriela Csurka +1
We address the problem of cross-modal fine-grained action retrieval between text and video. Cross-modal retrieval is commonly achieved through learning a shared embedding space, th…
An Evaluation of Action Recognition Models on EPIC-Kitchens
Will Price, Dima Damen
We benchmark contemporary action recognition models (TSN, TRN, and TSM) on the recently introduced EPIC-Kitchens dataset and release pretrained models on GitHub (https://github.com…
Learning Visual Actions Using Multiple Verb-Only Labels
Michael Wray, Dima Damen
This work introduces verb-only representations for both recognition and retrieval of visual actions, in video. Current methods neglect legitimate semantic ambiguities between verbs…
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
Toby Perrett, Dima Damen
Domain alignment in convolutional networks aims to learn the degree of layer-specific feature alignment beneficial to the joint learning of source and target datasets. While increa…
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…