Point-level weakly-supervised temporal action localization (PWTAL) aims ...
Partial scan is a common approach to accelerate Magnetic Resonance Imagi...
Analysis of human interaction is one important research topic of human m...
Recent contrastive based 3D action representation learning has made grea...
Zero-Shot Action Recognition (ZSAR) aims to recognize video actions that...
This paper proposes a new graph convolutional operator called central
di...
In this paper, we propose a Transformer-based RGB-D
egocentric action re...
This paper presents a study of automatic design of neural network
archit...
Recent methods based on 3D skeleton data have achieved outstanding
perfo...
Convolutional Neural Networks (ConvNets) have recently shown promising
p...
Recently, Convolutional Neural Networks (ConvNets) have shown promising
...
This paper proposes a new framework for RGB-D-based action recognition t...