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Deep Internal Learning-Based Video Compressive Sensing for Spatiotemporal Super-Resolution in Vision-Based High-Frequency Shm

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Vibration-based monitoring of civil infrastructure: challenges and successes
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Integrated Bridge Structural Health Monitoring System
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Computer vision techniques for construction safety and health monitoring
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Deep-learning-based generative design for optimal silencer using backpropagation of artificial neural network model
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Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals
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Model-informed deep learning-based compressive sensing for resampling and recovering 2D SHM vision data
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Identifying structural properties of a steel railway bridge for structural health monitoring using laser Doppler vibrometry
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Automated measurement of cable shape in super-long span suspension bridges
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Bayesian continuous wavelet transform for time-varying damping identification of cables using full-field measurement
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Deep fully-connected networks for video compressive sensing
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A Decade Review of Video Compressive Sensing: A Roadmap to Practical Applications
inferredcites →https://doi.org/10.1016/j.engstruct.2017.11.018openalex-snapshot
Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review
inferredcites →https://doi.org/10.1016/j.engstruct.2021.113040openalex-snapshot
Computer vision based target-free 3D vibration displacement measurement of structures
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Target-free measurement of cable forces based on computer vision and equivalent frequency difference
inferredcites →https://doi.org/10.1016/j.measurement.2024.114222openalex-snapshot
A real-time feature-based clustering approach for vibration-based SHM of large structures
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A vibration transducer framework for the measurement and reconstruction of vibration signals via low-rate sampling
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Identifying parameters of multi-degree-of-freedom nonlinear structural dynamic systems using linear time periodic approximations
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108531openalex-snapshot
An improved complex multi-task Bayesian compressive sensing approach for compression and reconstruction of SHM data
inferredcites →https://doi.org/10.1016/j.ymssp.2022.109178openalex-snapshot
Multi-scale and full-field vibration measurement via millimetre-wave sensing
inferredcites →https://doi.org/10.1016/j.ymssp.2022.109708openalex-snapshot
A framework for quantifying the value of vibration-based structural health monitoring
inferredcites →https://doi.org/10.1016/j.ymssp.2023.110893openalex-snapshot
Phase-based motion estimation and SVR smooth for target-free 3D deformation measurement using stereophotogrammetry
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Strongly nonlinear multi-degree of freedom systems: Experimental analysis and model identification
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Modal-Weighted Super-Sensitive phase optical flow method for structural Micro-Vibration modal identification
inferredcites →https://doi.org/10.1017/cbo9780511794308openalex-snapshot
Compressed Sensing
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001086openalex-snapshot
Structural Identification of a Concrete-Filled Steel Tubular Arch Bridge via Ambient Vibration Test Data
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Mitigating Epistemic Uncertainty in Structural Identification: Case Study for a Long-Span Steel Arch Bridge
inferredcites →https://doi.org/10.1063/1.5140721openalex-snapshot
Deep learning for video compressive sensing
inferredcites →https://doi.org/10.1109/cvpr.2011.5995360openalex-snapshot
Space-time super-resolution from a single video
inferredcites →https://doi.org/10.1109/cvpr.2016.55openalex-snapshot
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
inferredcites →https://doi.org/10.1109/i2ct54291.2022.9824890openalex-snapshot
Deep Learning Based Compressive Sensing for Image Reconstruction and Inference
inferredcites →https://doi.org/10.1109/icme.2017.8019428openalex-snapshot
Deep networks for compressed image sensing
inferredcites →https://doi.org/10.1109/tcsvt.2016.2527181openalex-snapshot
Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity
inferredcites →https://doi.org/10.1109/tip.2014.2323127openalex-snapshot
Group-Based Sparse Representation for Image Restoration
inferredcites →https://doi.org/10.1109/tip.2014.2344294openalex-snapshot
Video Compressive Sensing Using Gaussian Mixture Models
inferredcites →https://doi.org/10.1109/tit.2006.871582openalex-snapshot
Compressed sensing
inferredcites →https://doi.org/10.1111/mice.12051openalex-snapshot
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring
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Image-based crack assessment of bridge piers using unmanned aerial vehicles and three-dimensional scene reconstruction
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A compressive sensing method for processing and improving vision‐based target‐tracking signals for structural health monitoring
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Real‐time structural displacement estimation by fusing asynchronous acceleration and computer vision measurements
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A vision monitoring system for multipoint deflection of large‐span bridge based on camera networking
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Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring
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A review of computer vision–based structural health monitoring at local and global levels
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Vision-based dense displacement and strain estimation of miter gates with the performance evaluation using physics-based graphics models
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inferredcites →https://doi.org/10.3390/s23042204openalex-snapshot
A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
inferredcites →https://doi.org/10.48550/arxiv.2003.08872openalex-snapshot
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
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