14 papers
Crucial-Diff: A Unified Diffusion Model for Crucial Image and Annotation Synthesis in Data-scarce Scenarios
Siyue Yao, Mingjie Sun, Eng Gee Lim +3
The scarcity of data in various scenarios, such as medical, industry and autonomous driving, leads to model overfitting and dataset imbalance, thus hindering effective detection an…
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…
VMGNet: A Low Computational Complexity Robotic Grasping Network Based on VMamba with Multi-Scale Feature Fusion
Yuhao Jin, Qizhong Gao, Xiaohui Zhu +5
While deep learning-based robotic grasping technology has demonstrated strong adaptability, its computational complexity has also significantly increased, making it unsuitable for…
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…
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…