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Welcome to CVIDL

2026 7th International Conference on Computer Vision, Image and Deep Learning

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about

☀ About CVIDL


2026 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL 2026) will be held on May 22-24, 2026 in Changsha, China. The conference aims to provide a platform for experts, scholars, engineers and technicians engaged in computer vision, image and deep learning to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote industrial cooperation of academic results. The conference invites domestic and foreign universities, research institutions experts, scholars, business people and other relevant personnel to attend the exchange.

Committee

Important Dates
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May 22-24, 2026

Conference Dates

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April 22, 2026

Full Paper Submission Date

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March 22, 2026

Registration Deadline

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February 22, 2026

Final Paper Submission Date

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CFP

Topics


The topics of interest for submission include, but are not limited to:

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Vision and Image Technologies

Image-based computer graphics, computational vision theory, Image Analysis of the video, Graphics modeling, Image processing, ...

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DL Technologies

Caption generation, Cognitive architectures, Commonsense reasoningo Episodic reasoning, Intelligent agents, Machine learning, ...

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DL Applications

Ambient intelligence, Autonomic computing, Biomedical systems, Computer games, Image processing, Information retrieval and reuse, ...

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Publication

 Publication


All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus  for indexing.

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Supported By

 Sponsor


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