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    CVIDL 2022 - 2022 3rd International Conference on Computer Vision, Image and Deep Learning(CVIDL2022)

    View: 423

    Website www.cvidl.org | Want to Edit it Edit Freely

    Category Computer Science;Computer Vision;Image;Deep Learning

    Deadline: May 15, 2022 | Date: May 20, 2022-May 22, 2022

    Venue/Country: Changchun, China

    Updated: 2022-02-23 17:56:11 (GMT+9)

    Call For Papers - CFP

    • Vision and Image technologies

    Image-based computer graphics

    computational vision theory

    Image Analysis of the video

    Graphics modeling

    Image processing

    Image acquisition

    Image Segmentation

    Medical image processing

    Human-Computer Interaction

    Three-dimensional and structure

    Virtualized Storage

    Visualization of Big data

    Principle of virtualization

    3-D and Surface Reconstruction

    Motion Detection

    Machine vision

    Data Mining Techniques

    Face Recognition

    • DL Technologies

    Caption generation

    Cognitive architectures

    Commonsense reasoningo Episodic reasoning

    Intelligent agents (e.g., planning and acting, goal reasoning)

    Machine learning (e.g., deep, reinforcement, statistical relational, transfer)

    Model-based reasoningo Narrative intelligenc

    Temporal reasoningo Visual reasoning

    • DL Applications

    Ambient intelligence

    Autonomic computing

    Biomedical systems

    Computer games

    Image processing (e.g., security/surveillance tasks)

    Information retrieval and reuse

    Intelligent tutoring systems

    Language translation

    Plan replay

    Question-Answering

    Reasoning from experiences mined from text, multimedia, or human interactions

    Recommender systems

    Robotics (e.g., control of autonomous vehicles)Text reuse

    User modeling


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.