I P D L   2 0 2 5

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C h e n g d u , C h i n a

- About IPDL 2025 -

With the rapid development of deep learning and image processing technologies, the applications of related technologies are gradually penetrating into various industries, such as medical image analysis, autonomous driving, security monitoring and intelligent manufacturing. The diversity and complexity of these applications have prompted the need for a dedicated forum for researchers to exchange new technologies, methods and ideas in a timely manner. 2025 International Conference on Image Processing and Deep Learning will be held in Chengdu, China, on April 11-13, 2025, which aims to bring together researchers, scholars and engineers in the field of Deep Learning and Image Processing, to discuss the current technology frontiers, application trends and future development directions. and the direction of future development.

Submission & Publication -

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

Submission System (Chinese)

Submission System  (English)

news.gif Templates:Download

For more information, please click:    Submission


 SPIE.png

hot.gifAll papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of IPDL 2025 will be published in SPIE - The International Society for Optical Engineering (ISSN: 0277-786X) and will be submitted to EI Compendex / Scopus  for indexing.

For more information, please click:    Publication

Call For Papers -

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

Image Processing

Image Enhancement and Denoising

Image Segmentation and Target Detection

Medical Image Processing

Remote Sensing Image Analysis

Image Compression and Coding

Image Restoration and Reconstruction

Image Style Migration

Video Analysis and Processing

Multimodal Image Processing

Image Quality Assessment

Face Recognition and Expression Analysis

Deep Learning

Deep Learning Basic Algorithms

Deep Learning in Computer Vision

Natural Language Processing combined with Vision

Migration Learning

Domain Adaptation

Augmented Learning

Federated Learning and Privacy Preservation

Self-supervised vs. unsupervised learning

Deep Learning Model Interpretability

Edge Computing

For more information, please click:

Call For Papers

Important Dates

Full Paper Submission Date

Registration Deadline

Final Paper Submission Date

Conference Dates

February 10 2025

February 25, 2025

April 1, 2025

April 11-13, 2025


- Supported By -


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