Conference Information

IPMLP 2026: International Conference on Image Processing, Machine Learning and Pattern Recognition

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Submission Date:
2026-05-26
Notification Date:
Conference Date:
2026-07-10
Location:
Yinchuan, China
Years:
3
Viewed: 11584   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

43.0 / 100
Ranked #3,691 of 5,650 conferences · Top 66%

#182 of 241 in Computer Vision & Pattern Recognition #463 of 734 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%)
28
Public record completeness (15%)
35

Inputs used: Editions on record: 3 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 9

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 2026-09-04

Call For Papers

IPMLP 2026 (International Conference on Image Processing, Machine Learning and Pattern Recognition) is an academic conference held in Yinchuan, China on 2026-07-10. The paper submission deadline is 2026-05-26.

The 3rd International Conference on Image Processing, Machine Learning, and Pattern Recognition (IPMLP 2026) provides a premier forum for the presentation of new advances and research results in the fields of Image Processing, Machine Learning, and Pattern Recognition. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to: ◕ Track 1: Image and Signal Processing · Image Recognition · Image Acquisition · Visual Analysis and Understanding · Image Enhancement and Restoration · Image and Video Generation · 3D Modeling · Signal Recognition · Information Fusion · Image Coding and Compression · Digital Watermarking · Computational Imaging ◕ Track 2: Pattern Recognition Technology · Computer Vision Systems · Feature Extraction · Human-Computer Interaction · Neural Networks · Target Detection and Classification · Biometrics Recognition · Image Segmentation · Speech Recognition ◕ Track 3: Machine Learning and Intelligent Sensing · Intelligent Sensors · Automated Driving · Deep Learning · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Federated Learning · Data Enhancement · Edge Computing and Intelligent Sensing · Big Data Analytics · Distributed Sensing · Data Processing · Machine Learning and Perception
Last updated by Dou Sun on

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