2027 3rd International Conference on Image Processing and Deep Learning(IPDL 2027)

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About IPDL 2027

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.

2027 3rd International Conference on Image Processing and Deep Learning will be held in Xi'an, China, on April 23-25, 2027, 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.

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Important Dates

Full Paper Submission Date: February 7, 2027

Notification of Acceptance: March 9, 2027

Final Paper Submission Date: March 24, 2027

Registration Deadline: April 8, 2027

Conference Dates: April 23-25, 2027

Countdown to the Conference:

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Conference Topics

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

📚︎ Optical Image Processing and Analysis

Optical image enhancement and denoising

Optical image segmentation and target detection

Medical optical imaging and image processing

Remote sensing optical image analysis

Optical image compression and coding

Optical image restoration and reconstruction

Optical image style transfer

Optical video analysis and processing

Multimodal optical image processing

Optical image quality assessment

Optical face recognition and expression analysis

Optical sensor imaging systems

Optical polarimetric and spectral imaging

Optical microscopy image processing

Holographic and phase-contrast imaging

📚︎ Deep Learning for Optical Vision

Deep learning basic algorithms

Deep learning for computer vision

Vision-language multimodal learning

Transfer learning for visual recognition

Domain adaptation for optical imaging

Data augmentation for image training

Federated learning and privacy preservation

Self-supervised and unsupervised learning

Deep learning model interpretability

Edge computing for visual processing

Optical sensing-based deep perception

Deep learning optical object tracking

Deep learning spectral and spectral imaging

Neural network optical imaging reconstruction

Deep learning in optical inspection

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Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

IPDL 2026
📚︎Cover	📚︎Ei Compendex	📚︎Scopus

IPDL 2025
📚︎Cover	📚︎Ei Compendex	📚︎Scopus

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or 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 academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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About IPDL 2027

Important Dates

Conference Topics

Publication

IPDL 2026

IPDL 2025

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