Conference Information

ICCVDM 2027: International Conference on Computer Vision and Data Mining

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ICCVDM
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Submission Date:
2027-04-14 Due in 201 days
Notification Date:
2027-05-18
Conference Date:
2027-07-02
Location:
Ningbo, China
Years:
Viewed: 8912   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

50.0 / 100
Ranked #1,605 of 5,687 conferences · Top 29%

#74 of 246 in Computer Vision & Pattern Recognition #86 of 337 in Data Mining & Databases

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%)
59
Community attention (10%)
24
Public record completeness (15%)
55

Inputs used: Editions on record: 8 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 9

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-25

Call For Papers

ICCVDM 2027 (International Conference on Computer Vision and Data Mining) is an academic conference held in Ningbo, China on 2027-07-02. The paper submission deadline is 2027-04-14. Acceptance notifications are sent on 2027-05-18.

The topics of interest for submission include, But are not limited to: 📚︎ Computer Vision Image Classification Object Detection Image Segmentation Visual Tracking Feature Extraction Image Enhancement Image Inpainting Face Recognition Image Retrieval Video Analysis 3D Vision Computer Graphics Visual Visualization Remote Sensing Vision Robot Vision 📚︎ Data Mining Data Mining Algorithms Big Data Mining Association Rule Mining Cluster Analysis Classification Mining Anomaly Detection Data Preprocessing Data Visualization Text Mining Time Series Data Mining Multi-source Data Mining Data Mining Applications Intelligent Data Mining Data Privacy Protection Data Mining Systems
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