12 citations · 38 across the 22 of their papers we have counts for
22 papers
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…
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren, Guofeng Mei, Danda Pani Paudel +6
Contrastive learning (CL) for Vision Transformers (ViTs) in image domains has achieved performance comparable to CL for traditional convolutional backbones. However, in 3D point cl…
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…
MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions
Sheng Yan, Mengyuan Liu, Yong Wang +3
In this paper, we address the unexplored question of temporal sentence localization in human motions (TSLM), aiming to locate a target moment from a 3D human motion that semantical…
VG4D: Vision-Language Model Goes 4D Video Recognition
Zhichao Deng, Xiangtai Li, Xia Li +3
Understanding the real world through point cloud video is a crucial aspect of robotics and autonomous driving systems. However, prevailing methods for 4D point cloud recognition ha…