5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2022
An Efficient Framework for Few-shot Skeleton-based Temporal Action Segmentation
Leiyang Xu, Qiang Wang, Xiaotian Lin +1
Temporal action segmentation (TAS) aims to classify and locate actions in the long untrimmed action sequence. With the success of deep learning, many deep models for action segment…
cs.CV2022
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition
Lin Yuan, Zhen He, Qiang Wang +2
Human action recognition is a quite hugely investigated area where most remarkable action recognition networks usually use large-scale coarse-grained action datasets of daily human…
eess.IV2020★ 5 cited
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Yichi Zhang, Qingcheng Liao, Lin Yuan +3
The novel Coronavirus disease (COVID-19) is a highly contagious virus and has spread all over the world, posing an extremely serious threat to all countries. Automatic lung infecti…