Conferences  >  Mathematics  >  Pattern Recognition and Image Processing, Machine Vision

Ritsumeikan University, Japan

The advancements in computer vision, machine learning, and other related fields have led to an explosion of new techniques, tools, and applications for image and graphics processing. From deep learning-based image recognition to generative adversarial networks (GANs) for image synthesis, the possibilities are endless. This symposium provides a unique opportunity to exchange knowledge and ideas, as well as to network with leading experts in the field. We are excited to bring together researchers, engineers, and practitioners from around the world to share their latest findings, discuss emerging trends, and explore new directions.

Phone: [001-518-478-2659];     Email: aimee@iacsit.net

Track 1. Image Processing and Analysis - Image enhancement, restoration, and filtering - Image segmentation and object detection - Image compression, coding, and transmission - Medical image processing and analysis - Remote sensing and satellite image processing - Hyperspectral and multispectral image analysis Track 2. Computer Vision and Pattern Recognition - Object detection, tracking, and recognition - 3D vision and reconstruction - Motion analysis and action recognition - Scene understanding and semantic segmentation - Face, gesture, and pose recognition - Deep learning for computer vision tasks Track 3. Graphics and Visualization - Rendering techniques (real-time, photorealistic, non-photorealistic) - Geometric modeling and processing - Animation, simulation, and virtual reality - Augmented reality and mixed reality - Scientific and information visualization - GPU-based graphics and parallel computing

We are delighted to extend our invitation to the 3rd International Conference on AI-Generated Content (AIGC 2025), scheduled for December 27-28, 2025, in the vibrant city of Hangzhou. Building on the success of AIGC 2023 in Shanghai and AIGC 2024 in Beijing, AIGC 2025 will continue to serve as a premier platform for sharing cutting-edge research and discussing the latest trends in AI-generated content. This conference will adopt a hybrid format, facilitating both in-person and online participation, providing an excellent opportunity for reconnecting with colleagues we haven't had the chance to meet for an extended period.

Conference Secretariat;     Phone: [+86-15618780723];     Email: contact@icaigc.org

T1: Foundations of AI Artificial General Intelligence Machine Learning Deep Learning Transformer Neural Networks T2: AI in Creative Expression Generative AI AI-generated Audio AI-generated Art AI-generated Image T3: Advanced AI Applications Natural Language Processing (NLP) Computer Vision Diffusion Models for Machine Learning AI in Robotics

Neural Networks and Artificial Intelligence, Machine Learning,    Social Networks and Social Aspects of Information Technology

China University of Geosciences (Wuhan), China

It is with great pleasure to welcome you all to the 9th International Conference on Image and Graphics Processing (ICIGP 2026), which will be held during January 16-18, 2026 in Wuhan, China. ICIGP 2026 is sponsored by China University of Geosciences (Wuhan), China; hosted by School of Computer Science, China University of Geosciences (Wuhan), China; assisted by University of Central Lancashire, UK and Shandong Marine Resource and Environment Research Institute, China; Technical supported by The Institution of Engineering and Technology, UK, Harbin Engineering University, China and Wuhan University of Science and Technology, China.

The field of image and graphics processing is rapidly growing and evolving, with new techniques and applications emerging all the time.ICIGP 2026 is an excellent opportunity for researchers, academics,and industry professionals from around the world to come together and engage in lively discussions, exchange ideas, and form valuable connections with fellow professionals and experts in the field.

Phone: [+86-18000547208];     Email: aimee@iacsit.net

Track 1. Image Processing Techniques and Applications ▪ Image enhancement and restoration ▪ Image segmentation and feature extraction ▪ Image and video coding and compression Track 2. Computer Vision and Pattern Recognition ▪ Visual tracking and surveillance ▪ Face and gesture recognition ▪ Deep learning for vision Track 3. Computer Graphics and Animation ▪ Rendering and modeling ▪ Computational photography ▪ Visual effects and animation Track 4. Multimedia Technologies and Applications ▪ Audio and video processing ▪ Immersive and gaming environments ▪ Social media and multimedia Track 5. Human-Computer Interaction and Interface Design ▪ User experience design and evaluation ▪ Human factors and ergonomics ▪ Interaction design for mobile devices Track 6. Remote Sensing and Geospatial Image Processing ▪ Image analysis for environmental monitoring ▪ Geospatial data processing and analysis ▪ Radar and LiDAR imaging ▪ Satellite image processing and analysis Track 7. Security and Privacy in Image and Graphics Processing ▪ Image and video encryption and watermarking ▪ Multimedia forensics and authentication ▪ Privacy-preserving image and video analysis ▪ Cybersecurity and image forensics

Next Business Media

After a successful inaugural edition in 2025, the Data Science Conference (DSC Next 2026) is back for its 2nd edition, scheduled to take place from March 24–26, 2026, at NH Amsterdam Zuid, Netherlands. This landmark event continues to establish itself as one of Europe’s key platforms for connecting data science, machine learning, and AI professionals from academia and industry. With a broader agenda, expanded workshops, and more international participation expected, DSC Next 2026 promises to be even more impactful, offering three full days of insight, innovation, and interaction.

Diwakar Chandra Gour, Event Manager;     Phone: [+91 84483 67524];     Email: diwakar@datasciencenext.com

Data Ethics and Privacy, Big Data Analytics, Machine Learning and AI Applications, Data Visualization, Natural Language Processing, Predictive Analytics, AI in Healthcare, Finance, and Industry, Data Governance and Security

Scientific Computing and Data Science,    Neural Networks and Artificial Intelligence, Machine Learning