Conference Information

CVIDL 2022: International Conference on Computer Vision, Image and Deep Learning

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CVIDL
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Submission Date:
2022-04-20
Notification Date:
2022-05-03
Conference Date:
2022-05-20
Location:
Changchun, China
Years:
3
Viewed: 20423   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

39.9 / 100
Ranked #5,075 of 5,687 conferences · Top 90%

#233 of 246 in Computer Vision & Pattern Recognition #654 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
12
Public record completeness (15%)
25

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-28

Call For Papers

CVIDL 2022 (International Conference on Computer Vision, Image and Deep Learning) is an academic conference held in Changchun, China on 2022-05-20. The paper submission deadline is 2022-04-20. Acceptance notifications are sent on 2022-05-03.

Topics include but are not limited to the following areas: • Vision and Image technologies o Image-based computer graphics o computational vision theory o Image Analysis of the video o Graphics modeling o Image processing o Image acquisition o Image Segmentation o Medical image processing o Human-Computer Interaction o Three-dimensional and structure o Virtualized Storage o Visualization of Big data o Principle of virtualization o 3-D and Surface Reconstruction o Motion Detection o Machine vision o Data Mining Techniques o Face Recognition • DL Technologies o Caption generation o Cognitive architectures o Commonsense reasoning o Episodic reasoning o Intelligent agents (e.g., planning and acting, goal reasoning) o Machine learning (e.g., deep, reinforcement, statistical relational, transfer) o Model-based reasoning o Narrative intelligence o Temporal reasoning o Visual reasoning • DL Applications o Ambient intelligence o Autonomic computing o Biomedical systems o Computer games o Image processing (e.g., security/surveillance tasks) o Information retrieval and reuse o Intelligent tutoring systems o Language translation o Plan replay o Question-Answering o Reasoning from experiences mined from text, multimedia, or human interactions o Recommender systems o Robotics (e.g., control of autonomous vehicles) o Text reuse o User modeling
Last updated by Dou Sun on

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