activity
20202022
most citedA Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification

100 citations · 163 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022

Data Augmentation for Depression Detection Using Skeleton-Based Gait Information

Jingjing Yang, Haifeng Lu, Chengming Li +2

In recent years, the incidence of depression is rising rapidly worldwide, but large-scale depression screening is still challenging. Gait analysis provides a non-contact, low-cost,…

cs.CV2021★ 2 cited

SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification

Haocong Rao, Xiping Hu, Jun Cheng +1

Person re-identification via 3D skeletons is an emerging topic with great potential in security-critical applications. Existing methods typically learn body and motion features fro…

cs.CV2021★ 2 cited

Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification

Haocong Rao, Shihao Xu, Xiping Hu +2

Skeleton-based person re-identification (Re-ID) is an emerging open topic providing great value for safety-critical applications. Existing methods typically extract hand-crafted fe…

cs.CV2020★ 100 cited

A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification

Haocong Rao, Siqi Wang, Xiping Hu +5

Person re-identification (Re-ID) via gait features within 3D skeleton sequences is a newly-emerging topic with several advantages. Existing solutions either rely on hand-crafted de…

cs.CV2020★ 29 cited

Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification

Haocong Rao, Siqi Wang, Xiping Hu +4

Gait-based person re-identification (Re-ID) is valuable for safety-critical applications, and using only 3D skeleton data to extract discriminative gait features for person Re-ID i…

cs.CV2020★ 18 cited

Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

Haocong Rao, Shihao Xu, Xiping Hu +2

Action recognition via 3D skeleton data is an emerging important topic in these years. Most existing methods either extract hand-crafted descriptors or learn action representations…

cs.HC2020★ 12 cited

Emotion Recognition From Gait Analyses: Current Research and Future Directions

Shihao Xu, Jing Fang, Xiping Hu +4

Human gait refers to a daily motion that represents not only mobility, but it can also be used to identify the walker by either human observers or computers. Recent studies reveal…