Search Results for author:
Found 7 papers, 5 papers with code
SFMViT: SlowFast Meet ViT in Chaotic World
The task of spatiotemporal action localization in chaotic scenes is a challenging task toward advanced video understanding.
HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
Skeleton-based action recognition has gained considerable traction thanks to its utilization of succinct and robust skeletal representations.
Explore Human Parsing Modality for Action Recognition
Multimodal-based action recognition methods have achieved high success using pose and RGB modality.
Ranked #4 on
Action Recognition
on NTU RGB+D 120
HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field
Therefore, this paper published the first open-source Renewable Energy Academic Paper (REAP) dataset for non-commercial LLM research of renewable energy.
Integrating Human Parsing and Pose Network for Human Action Recognition
We propose an Integrating Human Parsing and Pose Network (IPP-Net) for action recognition, which is the first to leverage both skeletons and human parsing feature maps in dual-branch approach.
Ranked #7 on
Action Recognition
on NTU RGB+D 120
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
Then, channel-dependent and temporal-dependent adjacency matrices corresponding to different channels and frames are calculated to capture the spatiotemporal dependencies between skeleton joints.
Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation
Photovoltaic (PV) power is an important way to utilize solar energy.
