87 citations · 141 across the 12 of their papers we have counts for
5 papers · 2 filters
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
Tianyu Guo, Hong Liu, Zhan Chen +3
In recent years, self-supervised representation learning for skeleton-based action recognition has been developed with the advance of contrastive learning methods. The existing con…
Weakly-supervised 3D Human Pose Estimation with Cross-view U-shaped Graph Convolutional Network
Guoliang Hua, Hong Liu, Wenhao Li +3
Although monocular 3D human pose estimation methods have made significant progress, it is far from being solved due to the inherent depth ambiguity. Instead, exploiting multi-view…
Cloth Interactive Transformer for Virtual Try-On
Bin Ren, Hao Tang, Fanyang Meng +3
The 2D image-based virtual try-on has aroused increased interest from the multimedia and computer vision fields due to its enormous commercial value. Nevertheless, most existing im…
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning
Yang Chen, Pinhao Song, Hong Liu +4
The performance of existing underwater object detection methods degrades seriously when facing domain shift caused by complicated underwater environments. Due to the limitation of…
Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation
Wenhao Li, Hong Liu, Runwei Ding +3
Despite the great progress in 3D human pose estimation from videos, it is still an open problem to take full advantage of a redundant 2D pose sequence to learn representative repre…