most citedSign Language Recognition via Skeleton-Aware Multi-Model Ensemble

31 citations · 49 across the 6 of their papers we have counts for

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cs.CV202131 cited

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

Songyao Jiang, Bin Sun, Lichen Wang +3

Sign language is commonly used by deaf or mute people to communicate but requires extensive effort to master. It is usually performed with the fast yet delicate movement of hand ge…

cs.CV2021

Grassmannian Graph-attentional Landmark Selection for Domain Adaptation

Bin Sun, Shaofan Wang, Dehui Kong +2

Domain adaptation aims to leverage information from the source domain to improve the classification performance in the target domain. It mainly utilizes two schemes: sample reweigh…

cs.CV20217 cited

GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition

Bin Sun, Dehui Kong, Shaofan Wang +3

Zero-shot action recognition can recognize samples of unseen classes that are unavailable in training by exploring common latent semantic representation in samples. However, most m…

cs.CV2021

Skeleton Aware Multi-modal Sign Language Recognition

Songyao Jiang, Bin Sun, Lichen Wang +3

Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the gap be…

cs.CV2021

Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model

Bin Sun, Shaofan Wang, Dehui Kong +2

3D action recognition is referred to as the classification of action sequences which consist of 3D skeleton joints. While many research work are devoted to 3D action recognition, i…

cs.CV2019

FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition

Ying Huang, Bin Sun, Haipeng Kan +2

Human pose estimation has made significant advancement in recent years. However, the existing datasets are limited in their coverage of pose variety. In this paper, we introduce a…