2026 3rd International Conference on Image Processing, Machine Learning, and Pattern Recognition (IPMLP 2026) will be held in Yinchuan, China and Singapore, from July 10 to 12, 2026.
China-Conference Website: https://ais.cn/u/7VbQr2
Singapore-Conference Website: https://www.aischolar.com/conference/ipmlp2026?invite=inevent
---Call for papers---
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
---Publication---
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of IPMLP 2026 will be published in ACM International Conference Proceedings Series, which will be archived in the ACM Digital Library, and indexed by EI Compendex, Scopus.
---Important Dates---
Full Paper Submission Date: May 29, 2026
Registration Deadline: June 10, 2026
Final Paper Submission Date: June 10, 2026
Conference Dates: July 10-12, 2026
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
Venue Location-Yinchuan, China:
https://ais.cn/u/7VbQr2
Venue Location-Singapore:
https://www.aischolar.com/conference/ipmlp2026/submission?invite=inevent








