Asia Digital Image Processing Conference ADIP on December 18-21, 2026 in Tokyo, Japan - Conference Index

Asia Digital Image Processing Conference ADIP on December 18-21, 2026 in Tokyo, Japan

Asia Digital Image Processing Conference (ADIP) December 18, 2026 - Tokyo, Japan

ADIP 2026 information: 

1. ADIP 2026 is supported by The University of Electro-Communications.

2. All peer reviewed and accepted papers, after presentation, will be published into the ADIP 2026 SPIE conference proceedings, which will be sent to Ei Compendex and Scopus for indexing.

3. Keynote speaker: 

Prof. Gaurav Sharma (IEEE Fellow, SPIE fellow), University of Rochester, USA


Invited Speakers:

Senior Associate Professor Yoichi TOMIOKA, The University of Aizu, Japan

Associate Professor Hossain Md Shakhawat, Kochi University of Technology, Japan


4. Conference Venue: The University of Electro-Communications, Tokyo, Japan


History:

ADIP 2019 was successfully held in Kobe University, Japan and got great support from Kobe University.

Due to the COVID-19 pandemic, The ADIP 2020 and ADIP 2021 was successfully held online. 

ADIP 2022 was successfully held in Osaka International Convention Center, Japan.

ADIP 2023 was successfully held in Kyoto, Japan.

ADIP 2024 was successfully held in Tokyo, Japan.

ADIP 2025 was successfully held in Tokyo, Japan.


Submission and Contact Methods:

Submission Methods: https://www.zmeeting.org/submission/adip2026

E-mail: [email protected]

Conference Specialist: Ms. Josie SHEN


1. Image Processing Techniques:

Image Filtering, Enhancement, and Restoration

Image Segmentation and Edge Detection

Feature Extraction and Pattern Recognition

Image Compression, Coding, and Transmission

Image Registration and Alignment

Color Image Processing and Analysis

2D and 3D Image Reconstruction


 

2. Artificial Intelligence in Image Processing:

Deep Learning for Image Recognition and Classification

Neural Networks for Image Denoising and Super-Resolution

Generative Adversarial Networks (GANs) for Image Synthesis

Self-supervised and Few-shot Learning in Vision Tasks

Vision Transformers in Image Understanding

AI-based Image and Video Captioning


 

3. Computer Vision and Video Analysis:

Object Detection, Tracking, and Recognition

Motion Analysis and Scene Understanding

Face Detection, Recognition, and Emotion Analysis

Action Recognition and Event Detection in Videos

Background Subtraction and Foreground Segmentation

Video Compression and Enhancement

Multi-camera and Stereo Vision Systems

Name: ACMSC
Website: http://www.acm-sg.org/

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