Conference Information

IPMF 2026: International Conference on Image Processing and Multimodal Fusion

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Submission Date:
2026-09-05
Notification Date:
2026-10-05
Conference Date:
2026-11-20
Location:
Xi an, China
Years:
1
Viewed: 554   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

37.9 / 100
Ranked #5,495 of 5,650 conferences · Top 98%

#238 of 241 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%)
19
Community attention (10%)
15
Public record completeness (15%)
35

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 6

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 2026-09-06

Call For Papers

IPMF 2026 (International Conference on Image Processing and Multimodal Fusion) is an academic conference held in Xi an, China on 2026-11-20. The paper submission deadline is 2026-09-05. Acceptance notifications are sent on 2026-10-05.

The topics of interest for submission include, but are not limited to: l Image Processing and Computer Vision • Image enhancement, restoration, and super-resolution • Image segmentation, edge detection, and feature extraction • 3D vision, stereo matching, and scene reconstruction • Object detection, tracking, and behavior recognition • Computational photography and biomedical image analysis l Core Algorithms and Frontier Technologies • Deep learning applications in image processing • Generative adversarial networks and diffusion models • Edge computing and lightweight neural networks • Self-supervised/unsupervised learning methods • Explainable AI and model robustness l Multimodal Fusion and Intelligent Analysis • Cross-modal representation learning and alignment • Vision-language models and multimodal large models • Multi-sensor data fusion (visual, radar, LiDAR) • Speech, text, and image multimodal interaction • Anomaly detection and multimodal data mining Industry Applications and System Implementation • Smart perception applications in smart cities • Industrial intelligence and machine vision systems • Healthcare and assisted diagnosis systems • Autonomous driving and robot perception • Augmented reality/virtual reality and human-computer interaction
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