activity
20172022
most citedSkeleton-based Action Recognition with Convolutional Neural Networks

284 citations · 453 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.CV2019★ 36 cited

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

cs.CV2019★ 31 cited

Collaborative Spatio-temporal Feature Learning for Video Action Recognition

Chao Li, Qiaoyong Zhong, Di Xie +1

Spatio-temporal feature learning is of central importance for action recognition in videos. Existing deep neural network models either learn spatial and temporal features independe…