Egocentric videos provide a rich source of hand-object interactions that support action
recognition. However, prior to action recognition, one may need to detect the presence of …

We propose an action estimation pipeline based on the simultaneous recognition of the
hands and the objects in the scene from an egocentric perspective. From the latest …

This paper proposes an interaction reasoning network for modelling spatio-temporal
relationships between hands and objects in egocentric video. The proposed interaction unit …

We focus on first-person action recognition from egocentric videos. Unlike third person
domain, researchers have divided first-person actions into two categories: involving hand …

Understanding the hand-object interactions from an egocentric video has received a great
attention recently. So far, most approaches are based on the convolutional neural network …

Hands emerge quite often in egocentric video, and their structure and disposition reveal a lot
as to what individuals have been engaged and showing interest to. Earlier researches in …

Improving the performance of egocentric action recognition (EAR) requires accurately
capturing interactions between actors and objects. In this paper, we propose two learning …

This report describes the 2nd place solution to the ECCV 2022 Human Body, Hands, and
Activities (HBHA) from Egocentric and Multi-view Cameras Challenge: Action Recognition …

In this work we employ multitask learning to capitalize on the structure that exists in related
supervised tasks to train complex neural networks. It allows training a network for multiple …

To enable a safe and effective human-robot cooperation, it is crucial to develop models for
the identification of human activities. Egocentric vision seems to be a viable solution to solve …