The 2nd International Conference on Image Processing, Machine Learning, and Pattern Recognition
About IPMLP 2025

About IPMLP 2025

The 2nd International Conference on Image Processing, Machine Learning, and Pattern Recognition


Welcome to the official website of the 2nd International Conference on Image Processing, Machine Learning, and Pattern Recognition (IPMLP 2025)

The International Conference on Image Processing, Machine Learning, and Pattern Recognition will be held from July 11th to 13th, 2025 in the picturesque city of Kunming, Yunnan. The aim of this conference is to provide an international platform for researchers, scholars, and industry professionals worldwide to share and explore the latest research progress and technological innovations in the fields of image processing, machine learning, and pattern recognition.

Kunming, with its pleasant climate and stunning natural scenery, has become an ideal venue for this conference, providing an inspiring environment for academic exchange. This conference will gather top experts, scholars, and industry leaders from around the world to deeply explore the challenges and future development opportunities faced by these rapidly developing fields through keynote speeches, technical workshops, and thematic discussions.

In addition, the conference will also feature oral presentations and poster displays, providing an excellent platform for researchers to showcase their innovative work and receive feedback. Whether you are a researcher in academia or a practitioner in industry, this conference provides an excellent opportunity for you to broaden your international perspective and seek opportunities for collaboration.

We eagerly look forward to your participation and hope that this conference can promote broader academic exchanges and cooperation, and drive continuous innovation and development in the fields of image processing, machine learning, and pattern recognition.

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Important Dates

Submission Date

May 7, 2025

Notification Date

June 11, 2025

Registration Date

June 26, 2025

Conference Date

July 11-13, 2025

CFP

Call For Papers

hot.gif The topics of interest include, but are not limited to:

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

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

Pattern Recognition Technology

· Computer Vision Systems

· Feature Extraction

· Human-Computer Interaction

· Neural Networks

· Target Detection and Classification

· Biometrics Recognition

· Image Segmentation

· Speech Recognition

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Submission

news.gif Please send the full paper(word+pdf) to Submission System : 

Submission System (Chinese)

Submission System  (English)

news.gif Templates:Download

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Publication

Publication

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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 2025 will be published in ACM International Conference Proceedings Series, which will be archived in the ACM Digital Library, and indexed by EI Compendex, Scopus.


IPMLP 2024


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Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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Supported By

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University of Salamanca