会议简介
随着深度学习和图像处理技术的迅速发展，相关技术的应用逐渐渗透到各个行业，如医疗影像分析、自动驾驶、安防监控和智能制造等。这些应用的多样性与复杂性促使研究者们需要一个专门的论坛，以便及时交流新技术、新方法和新思路。2025深度学习和图像处理国际学术会议将于2025年4月11日在中国成都举办，本会议旨在汇聚深度学习和图像处理领域的研究者、学者和工程师，共同探讨当前技术前沿、应用趋势与未来发展的方向。
征稿主题
包含但不限于以下主题：
图像处理
图像增强与去噪
图像分割与目标检测
医学图像处理
遥感图像分析
图像压缩与编码
图像复原与重建
图像风格迁移
视频分析与处理
多模态图像处理
图像质量评估
人脸识别与表情分析
深度学习
深度学习基础算法
计算机视觉中的深度学习
自然语言处理与视觉结合
迁移学习
域适应
增强学习
联合学习与隐私保护
自监督与无监督学习
深度学习模型可解释性
边缘计算
论文投稿
IPDL 2025所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将以会议论文集出版，见刊后由期刊社提交至EI Compendex和Scopus检索。目前该出版社EI检索非常稳定。
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– 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 Deep Learning and Image Processing will be held in Chengdu China on April 11 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.
Important Dates
Full Paper Submission Date
July 25 2025
Registration Deadline
July 25 2025
Final Paper Submission Date
April 1 2025
Conference Dates
April 11-13 2025
Call For Papers
2025 International Conference on Image Processing and Deep Learning（IPDL 2025） will bring together leading researchers engineers and scientists in the domain of interest from around the world.
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 st
yle Migration
Video Analysis and Processing
Multimodal Image Processing
Image Quality Assessment
Face Recognition and ex
pression 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
Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
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 any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
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