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 Video

Updated: Jul 1, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
06:45

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

CVDII: Enhancing One-Shot Skeleton Action Recognition Through Cross-View Dynamic Information Interaction.

Youmei Zhang, Junyu Chen, Tianjiao Li

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    Phase Contrast and Differential Interference Contrast Microscopy01:26

    Phase Contrast and Differential Interference Contrast Microscopy

    Phase-Contrast Microscopes
    In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

    You might also read

    Related Articles

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

    Sort by
    Same author

    COX-2 inhibition improves immune system homeostasis and decreases liver damage in septic rats.

    The Journal of surgical research·2009
    Same author

    Mass spectral characterization of organophosphate-labeled, tyrosine-containing peptides: characteristic mass fragments and a new binding motif for organophosphates.

    Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2009
    Same author

    3D-SURFER: software for high-throughput protein surface comparison and analysis.

    Bioinformatics (Oxford, England)·2009
    Same author

    Total arch replacement with stented elephant trunk technique: a proposed treatment for complicated Stanford type B aortic dissection.

    Journal of cardiac surgery·2009
    Same author

    Top-emitting white organic light-emitting devices with a one-dimensional metallic-dielectric photonic crystal anode.

    Optics letters·2009
    Same author

    [Detection of tick and tick-borne pathogen in some ports of Inner Mongolia].

    Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2009
    Same journal

    Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Semantic Frame Interpolation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same journal

    BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    See all related articles

    This study introduces a new Cross-View Dynamic Information Interaction (CVDII) framework to improve one-shot 3D skeleton action recognition by managing diverse action styles. CVDII effectively balances shared and discriminative information for better feature separation and recognition accuracy.

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • One-shot 3D skeleton action recognition faces challenges due to diverse intra-class execution styles.
    • Excessive discriminative information hinders the creation of separable feature spaces.

    Purpose of the Study:

    • To mitigate the over-influence of discriminative information in action recognition.
    • To leverage shared information among intra-class action executions for improved recognition.

    Main Methods:

    • Proposed the dynamic information interaction module (DIIM) to manage shared and discriminative information.
    • Developed a guided evolution pool within DIIM for retrieving shared execution information.
    • Devised a shared-discriminative projection strategy (SDPS) for targeted information mining from different skeleton data views.

    Related Experiment Videos

    Last Updated: Jul 1, 2026

    Automated Joint Space Detection Improves Bone Segmentation Accuracy
    06:45

    Automated Joint Space Detection Improves Bone Segmentation Accuracy

    Published on: November 28, 2025

    Main Results:

    • The Cross-View Dynamic Information Interaction (CVDII) framework integrates DIIM and SDPS.
    • CVDII effectively addresses discriminative information redundancy caused by varied action execution styles.
    • Experiments on NTU 60, NTU 120, PKU-MMD, and Kinetics datasets show remarkable performance.

    Conclusions:

    • The proposed CVDII framework significantly enhances one-shot 3D skeleton action recognition.
    • Effective management of shared and discriminative information is key to overcoming execution style diversity.
    • The method demonstrates robust performance across multiple benchmark datasets.