Conference Information

CIPCV 2027: International Conference on Intelligent Perception and Computer Vision

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Submission Date:
2026-12-20 Due in 64 days
Notification Date:
2027-01-25
Conference Date:
2027-08-20
Location:
Shanghai, China
Years:
Viewed: 14988   Tracked: 16   Attend: 6
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Conference Partner Index (CP-I)

49.3 / 100
Ranked #1,824 of 5,705 conferences · Top 32%

#88 of 246 in Computer Vision & Pattern Recognition

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%)
43
Community attention (10%)
49
Public record completeness (15%)
55

Inputs used: Editions on record: 4 · Researchers following it here: 16 · Researchers who opened this page in the past 24 months: 16

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 1.2 · Computed 2026-10-16

Call For Papers

CIPCV 2027 (International Conference on Intelligent Perception and Computer Vision) is an academic conference held in Shanghai, China on 2027-08-20. The paper submission deadline is 2026-12-20. Acceptance notifications are sent on 2027-01-25.

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. The topics are not limited to those as below: Intelligent Perception Computational Intelligence Soft Computing Artificial Intelligence Intelligent Sensors Intelligent micro nano system Intelligent network Intelligent application Intelligent information processing Intelligent Transportation Intelligent detection Information Perception Natural Language Processing Genetic/Evolutionary Algorithms Machine Learning Deep Learning Learning and Adaptive Systems Cognitive Modeling Human-Robot Interaction Internet of Things (IoT) Speech recognition Computer Vision Active and robot vision Biometric authentication Knowledge-based recognition Camera networks and vision Face and gesture recognition Pattern recognition Image feature extraction Machine learning technologies for vision 3D computer vision Action recognition Biometrics, face and gesture Biomedical image analysis Computational photography, photometry Low-level vision and image processing Motion and tracking Detection, categorization, indexing and matching Video: events, activities and surveillan remote sensing Virtual Reality
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