50 citations · 74 across the 13 of their papers we have counts for
7 papers · 1 filter
An Overview of Algorithms for Contactless Cardiac Feature Extraction from Radar Signals: Advances and Challenges
Yuanyuan Zhang, Rui Yang, Yutao Yue +2
Contactless cardiac monitoring has vast potential to replace contact-based monitoring in various future scenarios such as smart home and in-cabin monitoring. Various contactless se…
A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism
Ruiyuan Jiang, Dongyao Jia, Eng Gee Lim +3
Accurate traffic prediction is essential for Intelligent Transportation Systems (ITS), yet current methods struggle with the inherent complexity and non-linearity of traffic dynami…
From High-SNR Radar Signal to ECG: A Transfer Learning Model with Cardio-Focusing Algorithm for Scenarios with Limited Data
Yuanyuan Zhang, Haocheng Zhao, Sijie Xiong +3
Electrocardiogram (ECG), as a crucial find-grained cardiac feature, has been successfully recovered from radar signals in the literature, but the performance heavily relies on the…
HiGarment: Cross-modal Harmony Based Diffusion Model for Flat Sketch to Realistic Garment Image
Junyi Guo, Jingxuan Zhang, Fangyu Wu +5
Diffusion-based garment synthesis tasks primarily focus on the design phase in the fashion domain, while the garment production process remains largely underexplored. To bridge thi…
Mozualization: Crafting Music and Visual Representation with Multimodal AI
Wanfang Xu, Lixiang Zhao, Haiwen Song +6
In this work, we introduce Mozualization, a music generation and editing tool that creates multi-style embedded music by integrating diverse inputs, such as keywords, images, and s…
Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components
Yuanyuan Zhang, Sijie Xiong, Rui Yang +2
Radar-based wellness monitoring is becoming an effective measurement to provide accurate vital signs in a contactless manner, but data scarcity retards the related research on deep…