Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition

30 May 2023

Papers citing "Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition"

7 / 7 papers shown

Title
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Yunfeng Ge Jiawei Li Yiji Zhao Haomin Wen Zhao Li M. Qiu Hao Li Ming Jin Shirui Pan DiffM 143 0 0 05 May 2025
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning Hanyu Liu Ying Yu Hang Xiao Siyao Li Xuze Li Jiarui Li Haotian Tang 35 0 0 22 Mar 2025
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 37 38 0 29 Apr 2024
Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition Parham Zolfaghari Vitor Fortes Rey L. Ray Hyun Kim Sungho Suh Paul Lukowicz 3DH 52 1 0 25 Apr 2024
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition Vitor Fortes Rey Sungho Suh P. Lukowicz SSL HAI 32 12 0 04 Oct 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 218 1,355 0 24 Jan 2022
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011