7 papers
Generative AI Meets Wireless Sensing: Towards Wireless Foundation Model
Zheng Yang, Guoxuan Chi, Chenshu Wu +5
Generative Artificial Intelligence (GenAI) has made significant advancements in fields such as computer vision (CV) and natural language processing (NLP), demonstrating its capabil…
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
Tianyu Yu, Zefan Wang, Chongyi Wang +31
Multimodal Large Language Models (MLLMs) are undergoing rapid progress and represent the frontier of AI development. However, their training and inference efficiency have emerged a…
Confidence-driven Gradient Modulation for Multimodal Human Activity Recognition: A Dynamic Contrastive Dual-Path Learning Approach
Panpan Ji, Junni Song, Yifan Lu +3
Sensor-based Human Activity Recognition (HAR) is a core technology that enables intelligent systems to perceive and interact with their environment. However, multimodal HAR systems…
USAD: End-to-End Human Activity Recognition via Diffusion Model with Spatiotemporal Attention
Hang Xiao, Ying Yu, Jiarui Li +4
The primary objective of human activity recognition (HAR) is to infer ongoing human actions from sensor data, a task that finds broad applications in health monitoring, safety prot…
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning
Hanyu Liu, Ying Yu, Hang Xiao +4
Sensor-based human activity recognition is a key technology for many human-centered intelligent applications. However, this research is still in its infancy and faces many unresolv…
Redundant feature screening method for human activity recognition based on attention purification mechanism
Xiaoyang Li, Yixuan Jiang, Junze Zhu +4
In the field of sensor-based Human Activity Recognition (HAR), deep neural networks provide advanced technical support. Many studies have proven that recognition accuracy can be im…