1 citations · 1 across the 7 of their papers we have counts for
8 papers
De-biasing Skeleton-based Action Recognition with Convex Hull Adaptive Shift
Mengyuan Liu, Yuhang Wen, Yi Zhang +4
Skeleton sequences can represent both individual actions and multi-entity interactions, encompassing human bodies, hands, objects, and robots. Existing approaches to recognize skel…
DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
Jiaying Lin, Shiman Wu, Jinfu Liu +2
Millimeter-wave (mmWave) radar provides privacy-preserving sensing and is valuable for human action recognition (HAR). Existing mmWave point cloud datasets are limited in scale and…
3D Skeleton-Based Action Recognition: A Review
Mengyuan Liu, Hong Liu, Qianshuo Hu +4
With the inherent advantages of skeleton representation, 3D skeleton-based action recognition has become a prominent topic in the field of computer vision. However, previous review…
HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition
Yue Li, Haoxuan Qu, Mengyuan Liu +2
Transformers have demonstrated remarkable performance in skeleton-based human action recognition, yet their quadratic computational complexity remains a bottleneck for real-world a…
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition
Jinfu Liu, Chen Chen, Mengyuan Liu
Skeleton-based action recognition has garnered significant attention due to the utilization of concise and resilient skeletons. Nevertheless, the absence of detailed body informati…
SemiPL: A Semi-supervised Method for Event Sound Source Localization
Yue Li, Baiqiao Yin, Jinfu Liu +3
In recent years, Event Sound Source Localization has been widely applied in various fields. Recent works typically relying on the contrastive learning framework show impressive per…
HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
Jinfu Liu, Baiqiao Yin, Jiaying Lin +3
Skeleton-based action recognition has gained considerable traction thanks to its utilization of succinct and robust skeletal representations. Nonetheless, current methodologies oft…
SFMViT: SlowFast Meet ViT in Chaotic World
Jiaying Lin, Jiajun Wen, Mengyuan Liu +3
The task of spatiotemporal action localization in chaotic scenes is a challenging task toward advanced video understanding. Paving the way with high-quality video feature extractio…