Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

EGVD: Event-Guided Video Deraining.

Yueyi Zhang, Jin Wang, Wenming Weng

    IEEE Transactions on Neural Networks and Learning Systems
    |March 27, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    A self-powered and reusable biocomputing security keypad lock system based on biofuel cells.

    Chemistry (Weinheim an der Bergstrasse, Germany)·2010
    Same author

    Prevalence of nerve-vessel contact at cisternal segments of the oculomotor nerve in asymptomatic patients evaluated with magnetic resonance images.

    Chinese medical journal·2010
    Same author

    Overexpression and characterization in Bacillus subtilis of a positionally nonspecific lipase from Proteus vulgaris.

    Journal of industrial microbiology & biotechnology·2010
    Same author

    Strategies to minimize variability and bias associated with manual pipetting in ligand binding assays to assure data quality of protein therapeutic quantification.

    Journal of pharmaceutical and biomedical analysis·2010
    Same author

    Medium- and long-chain triacylglycerols reduce body fat and blood triacylglycerols in hypertriacylglycerolemic, overweight but not obese, Chinese individuals.

    Lipids·2010
    Same author

    [The clinical application of 320-slice Computed Tomography (CT) hepatic artery images in patients with liver transplantation].

    Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology·2010
    Same journal

    Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

    IEEE transactions on neural networks and learning systems·2026
    Same journal

    A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

    IEEE transactions on neural networks and learning systems·2026
    Same journal

    Self-Supervised Continuous Dynamic Graph Representation Learning via Hawkes Processes.

    IEEE transactions on neural networks and learning systems·2026
    Same journal

    cPU: Consistent Risk Estimator for Positive-Unlabeled Learning.

    IEEE transactions on neural networks and learning systems·2026
    Same journal

    Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing.

    IEEE transactions on neural networks and learning systems·2026
    Same journal

    Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

    IEEE transactions on neural networks and learning systems·2026
    See all related articles

    This study introduces a new framework for video deraining using event cameras, improving rain removal by effectively fusing motion information and separating features. The method enhances performance on diverse datasets.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Sensor Fusion

    Background:

    • Event cameras excel at capturing non-uniform motion, offering potential for video deraining.
    • Existing event-based deraining methods struggle with complex spatiotemporal distributions, hindering temporal fusion and feature separation.

    Purpose of the Study:

    • To propose a novel end-to-end learning framework for video deraining that effectively utilizes event stream data.
    • To address challenges in temporal information fusion and feature separation in event-based video deraining.

    Main Methods:

    • Developed an event-aware motion detection (EAMD) module for adaptive multiframe motion aggregation using event-driven masks.
    • Incorporated a pyramidal adaptive selection module for background and rain layer separation, using priors from both event and conventional camera data.

    Related Experiment Videos

  • Introduced a synchronized real-world dataset of rainy videos and event streams for efficient training.

    • Main Results:

    • The proposed framework demonstrates superior performance in video deraining compared to state-of-the-art methods.
    • Evaluations on both synthetic and real-world datasets validate the effectiveness of the novel approach.
    • The method successfully extracts rich dynamic information from event streams for improved deraining.

    Conclusions:

    • The novel end-to-end framework effectively leverages event camera data for advanced video deraining.
    • The proposed modules enhance motion information fusion and feature separation, overcoming limitations of prior methods.
    • The introduced dataset facilitates further research and development in event-based video deraining.