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International workshop on Advanced Applications of Deep Learning in Image Processing 

In recent years, the convergence of deep learning techniques and image processing has catalyzed groundbreaking advancements across various domains. The International Workshop on Advanced Applications of Deep Learning in Image Processing provides a timely platform to explore the latest developments at the forefront of this dynamic intersection.

Amidst the explosion of digital data and the proliferation of sensor technologies, deep learning has emerged as a cornerstone in unlocking the potential of visual data. From autonomous vehicles navigating complex environments to medical imaging systems aiding diagnosis, the applications of deep learning in image processing are reshaping industries and enriching our lives.


This workshop aims to delve into the latest developments and applications of deep learning methodologies specifically tailored for image processing tasks. Through keynote presentations, contributed talks, and interactive sessions, participants will have the opportunity to engage with leading researchers and practitioners at the forefront of deep learning and image processing. Join us at the International Workshop on Advanced Applications of Deep Learning in Image Processing to chart the course for the future of visual intelligence and shape the trajectory of this rapidly evolving field.

Workshop Chair

Mohd Shahrizal Sunar - Universiti Teknologi Malaysia (UTM), Malaysia

Submission Guidelines

Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceedings. All editions and updates must be done before the submission deadline: December 10, 2024 .

The authors are suggested to use the Formatting Template to meet format requirements. Your paper must comply with the following specifications:Paper Length: Each paper should be within 4-6 pages. Each registration covers 5 pages. For extra pages, fee will be charged (300RMB/Page).Official language is English in paper writing and presenting.

Full paper submissions should report on significant, original, and previously unpublished results on any aspect of design of complex systems or artifacts. All submissions will be subjected to double-blind peer reviews, who are expert or have experiences in the related field for years. The accepted papers must be revised, taking into consideration the referees' comments and suggestions, before inclusion in the conference proceedings

Topics of interest

This workshop aims to delve into the latest developments and applications of deep learning methodologies specifically tailored for image processing tasks. Topics of interest include but are not limited to:

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  • Novel deep learning architectures for image processing

  • Transfer learning and domain adaptation in image analysis

  • Generative adversarial networks (GANs) for image generation and enhancement

  • Deep reinforcement learning for visual perception and control

  • Multi-modal and multi-scale deep learning approaches

  • Applications of deep learning in medical imaging, remote sensing, robotics, and beyond

Publication

After a rigorous reviewing process, accepted papers after proper registration and presentation, will be published into Conference Proceedings. 

Sponsors

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University of Malaya

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Kce-Center of Excellence in Algorithms (Kce-Coea) 

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Cambridge Innovation Center

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