Search Results for author:
Found 4 papers, 2 papers with code
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition
Recognizing interactive actions, including hand-to-hand interaction and human-to-human interaction, has attracted increasing attention for various applications in the field of video analysis and human-robot interaction.
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction
With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has achieved high success, especially using the recent Graph Convolutional Network (GCN).
Frequency Compensated Diffusion Model for Real-scene Dehazing
In this paper, we consider a dehazing framework based on conditional diffusion models for improved generalization to real haze.
Federated Learning over a Wireless Network: Distributed User Selection through Random Access
This study proposes a network intrinsic approach of distributed user selection that leverages the radio resource competition mechanism in random access.
