1 citations · 1 across the 4 of their papers we have counts for
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SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition
Wiktor Mucha, Michael Wray, Martin Kampel
Hand pose represents key information for action recognition in the egocentric perspective, where the user is interacting with objects. We propose to improve egocentric 3D hand pose…
HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision
Siddhant Bansal, Michael Wray, Dima Damen
Large Vision Language Models (VLMs) are now the de facto state-of-the-art for a number of tasks including visual question answering, recognising objects, and spatial referral. In t…
Learning Temporal Sentence Grounding From Narrated EgoVideos
Kevin Flanagan, Dima Damen, Michael Wray
The onset of long-form egocentric datasets such as Ego4D and EPIC-Kitchens presents a new challenge for the task of Temporal Sentence Grounding (TSG). Compared to traditional bench…
Egocentric Video-Language Pretraining @ Ego4D Challenge 2022
Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan +13
In this report, we propose a video-language pretraining (VLP) based solution \cite{kevin2022egovlp} for four Ego4D challenge tasks, including Natural Language Query (NLQ), Moment Q…
SEMBED: Semantic Embedding of Egocentric Action Videos
Michael Wray, Davide Moltisanti, Walterio Mayol-Cuevas +1
We present SEMBED, an approach for embedding an egocentric object interaction video in a semantic-visual graph to estimate the probability distribution over its potential semantic…