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20192025
most citedAn Overview of Algorithms for Contactless Cardiac Feature Extraction from Radar Signals: Advances and Challenges

50 citations · 74 across the 13 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection

Xiaolei Wang, Xiaoyang Wang, Huihui Bai +2

Existing unsupervised distillation-based methods rely on the differences between encoded and decoded features to locate abnormal regions in test images. However, the decoder traine…

cs.RO2024

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…

cs.CV2024

NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar

Runwei Guan, Jianan Liu, Liye Jia +7

Recently, visual grounding and multi-sensors setting have been incorporated into perception system for terrestrial autonomous driving systems and Unmanned Surface Vehicles (USVs),…

eess.SP2024

radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction from Millimeter-Wave Radar

Yuanyuan Zhang, Runwei Guan, Lingxiao Li +3

Radar-based contactless cardiac monitoring has become a popular research direction recently, but the fine-grained electrocardiogram (ECG) signal is still hard to reconstruct from m…

cs.RO2024

Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension

Runwei Guan, Ruixiao Zhang, Ningwei Ouyang +8

Embodied perception is essential for intelligent vehicles and robots in interactive environmental understanding. However, these advancements primarily focus on vision, with limited…

cs.CV2024

Referring Flexible Image Restoration

Runwei Guan, Rongsheng Hu, Zhuhao Zhou +6

In reality, images often exhibit multiple degradations, such as rain and fog at night (triple degradations). However, in many cases, individuals may not want to remove all degradat…