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

Royal Microscopical Society (RMS)

Recent advancements in microscopy technology have revolutionized our ability to routinely acquire large, multi-dimensional image datasets. However, gaps remain in the effective analysis of this data, primarily due to a lack of computational skills among researchers. This often results in a reliance on qualitative, manual image assessments, which lack the precision, reproducibility, and scalability that automated, quantitative analysis can provide. To bridge this gap, this two-day workshop is designed to empower microscopists and researchers with the necessary skills and tools to confidently analyse their data. Under the instruction of experienced core facility staff from the Francis Crick Institute and King’s College London, participants will be introduced to open-source tools such as FIJI and napari, and will be introduced to methodologies for automating their image analyses, thus enhancing research precision, efficiency, and reproducibility.

Microscopy ,    Metrology and Instrumentation

School of Computer Science and Technology

The 17th International Conference on Digital Image Processing (ICDIP 2025) will be held in Haikou, China during April 25-27, 2025, which is hosted by School of Computer Science and Technology, Hainan University, China; Center for Information Technology Services, Hainan University, China. Since 2009, the International Conference on Digital Image Processing (ICDIP) has been successfully held sixteen editions in Singapore, China, Greece, Japan and other countries and regions. So far, nearly two thousand experts and scholars from all over the world have participated in the conference, and nearly two hundred technical sessions have been held. After 16 years, ICDIP has established a strong industry expert committee.

Phone: [+86-18080013977];     Email: aimee@iacsit.net

Track 1: Image Understanding and Analysis ▪ Object Detection and Categorization ▪ Detection, Recognition, and Classification ▪ Image Acquisition ▪ Image Segmentation ▪ Image Scanning, Display, and Printing Track 2: Image and Video Processing ▪ Image & Video Analysis and Segmentation ▪ Image & Video Coding and Transmission ▪ Image and Video Compression ▪ Motion and Video Analysis ▪ Video Surveillance and Monitoring Track 3: Computer Vision and Graphics ▪ Computer Vision and Image Processing Applications ▪ Content-based Image Retrieval ▪ Sensing, Representation, and Modeling ▪ Stereoscopic, Multiview, and 3D Processing ▪ Multi-view Geometry Track 4: Signal Processing ▪ Digital Signal Processing ▪ Adaptive Signal Processing ▪ Statistical Signal Processing ▪ Time-frequency Signal Analysis ▪ Cyclo-stationary Signal Analysis Track 5: Applications and Systems ▪ Emerging Applications and Systems ▪ Applications in Telecommunications ▪ Document Image Processing ▪ Color, Multispectral, and Hyperspectral Imaging ▪ Data Mining Techniques Track 6: Medical and Biological Image Processing ▪ Medical Image Analysis ▪ Medical Image Processing ▪ Biomedical and Biological Image Processing ▪ Biometrics, Forensics, and Security ▪ Biomedical Imaging New and Emerging Applications For more topics, please visit: https://www.icdip.org/cfp.html

International Association of Computer Science and Information Technology

It is with great pleasure that we invite you to the 5th International Forum on Signal Processing (IFSP 2025) in Xi'an, China during May 16-18, 2025. It is organized by Xi'an University of Posts & Telecommunications, China; hosted by School of Communications and Information Engineering & School of Artificial Intelligence, Xi'an University of Posts & Telecommunications, China and Shaanxi Key Laboratory of Information Communication Network and Security, China.

Email: aimee@iacsit.net

Image and video processing; Speech and audio processing; Signal processing for communication systems; Signal processing for biomedical applications; Machine learning for signal processing; Signal processing for sensor networks; Signal processing for control and automation;

Mobile Computing & Telecommunication ,    Neural Networks and Artificial Intelligence, Machine Learning

MIPRO Croatian Society

Artificial Intelligence (AI) has been an important area of research in recent years, with rapid and significant advances occurring every month. AI involves not only the development of machine learning models, but also their integration into various technical systems for the purposes of automation and expansion of human knowledge. The conference will address topics related to the underlying technologies of AI systems, methods and tools, as well as all kinds of applications. Original scientific papers, reviews, and technical papers on various aspects of AI systems are welcome.

Alan Jovic - conference chair;     Phone: [+38551423984];     Email: alan.jovic@fer.hr

Artificial Intelligence, Artificial Intelligence in Industry, Machine Learning & Deep Learning, Signal, Image, and Video Processing & Analysis, Natural Language Processing & Text Analysis, Knowledge-Based Systems, Formal Methods & Neuro-Symbolic Artificial Intelligence, Hardware Architectures for Artificial Intelligence, Trustworthy Artificial Intelligence & Explainability, Soft Computing & Optimization

Implementation and Applications of Artificial Intelligence,    Neural Networks and Artificial Intelligence, Machine Learning

ACMSC

2025 7th Asia Symposium on Image Processing will be held in Tsukuba, Japan during June 13-15, 2025. It is co-sponsored by Tsukuba University, Japan and Tianjin University of Technology and Education, China. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Image Processing. Welcome scholars and researchers working in the field of Image Processing from all over the world to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

Email: amychou2020@163.com

Advanced descriptors and similarity metrics for images, audio and video; Affect-based indexing, search, and retrieval of images & videos; Interactive techniques; Knowledge-based recognition; Color and texture; Compression methods; Computational geometry; Human-computer interfaces; Software tools for virtual reality;

Chongqing University of Posts and Telecommunications

2025 The 6th International Conference on Pattern Recognition and Machine Learning (PRML) will take place in Chongqing, China during June 13 to 16, 2025. Sponsored by Chongqing University of Posts and Telecommunications, the conference aims to provide a high-level platform for academic exchange among researchers worldwide. We warmly invite researchers and engineers from academia and industry to submit their contributions and join us at the event to share insights and celebrate advancements in the field.

In recent years, the fields of pattern recognition and machine learning have seen remarkable advancements, particularly in applications such as image processing, natural language processing, autonomous driving, medical diagnostics, and intelligent manufacturing. These technologies have emerged as critical pillars of intelligent society. Established in 2020, the PRML conference series aims to foster academic research and technological innovation in these domains. As an annual international conference, PRML attracts experts and scholars from around the globe, offering a platform for showcasing technological advancements, disseminating research findings, and exploring future trends. The conference topics span fundamental theories, algorithm design, and applications of pattern recognition and machine learning across various industries, including cutting-edge areas such as deep learning, reinforcement learning, transfer learning, big data analytics, computer vision, and speech recognition.

Phone: [+86-18080097050];     Email: Ian@cbees.net

Track 1: Computer Vision and Recognition ◇ Image and Video Classification ◇ Object Detection and Tracking ◇ Semantic Segmentation ◇ Content-based Image Retrieval ◇ Facial Recognition ◇ 3D Reconstructions ◇ Action Recognition Track 2: Deep Learning and Optimization ◇ Neural Generative Models, Autoencoders, GANs ◇ Optimization and Learning Methods ◇ Representation Learning and Deep Learning ◇ Scene Analysis and Understanding ◇ Transfer Learning, Low-Shot, Semi- and Unsupervised Learning ◇ Motion and Tracking Track 3: Artificial Intelligence (AI) in Biomedical Applications ◇ AI in Biomedical Signal and Image Processing ◇ Bioinformatics for Healthcare Wngineering ◇ Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision ◇ Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI ◇ Applying Machine Learning-empowered Sensing to Biomedical Scenarios ◇ Distributed Computing for Big Data in Smart Healthcare using AI ◇ AI-enabled Remote Patient Monitoring using Big Data Track 4: Vision Applications and Systems (Click) ◇ Segmentation, Grouping, and Shape ◇ Vision + Language, Vision + Other Modalities ◇ Video Analysis and Understanding ◇ Vision Applications and Systems ◇ Vision for Robotics and Autonomous Vehicles ◇ Visual Reasoning and Logical Representation Track 5: Artificial Intelligence (AI) for Data Analytics ◇ Data Clustering, Classification, and Visualisation ◇ Explainable AI and Knowledge Discovery from Databases ◇ Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support ◇ Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics ◇ Predictive Maintenance, Condition Monitoring, Manufacturing Analytics ◇ Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.

Join our online event centered on the transformative field of photonic-based technologies for robotic vision. As robots become more integral in everything from manufacturing to home appliances, the sophistication and precision of their functions increasingly rely on advanced vision and sensing capabilities, which are defined by parameters such as latency, resolution, and field of view. This professional meeting will explore the latest developments in LiDAR, camera-based, and alternative vision approaches, and aims to facilitate industry collaborations that create new business opportunities. Engage with industry leaders and innovators in a dynamic discussion that could significantly influence the future of robotic technologies.

Robotics, Automation & Mechatronics,    Photonics, Optoelectronics and Display Devices

International Association of Computer Science and Information Technology

The 3rd International Conference on Machine Learning and Pattern Recognition (MLPR 2025) will be held in Kyoto, Japan during July 25-27, 2025. MLPR 2025 is organized by Ritsumeikan University, Japan. The conference includes keynote talks, invited talks, forums and oral and poster presentations of author papers. We invite submissions of papers on all topics related to machine learning and pattern recognition for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.

Email: aimee@iacsit.net

Machine Learning; Active learning; Dimensionality reduction; Feature selection; Pattern Recognition; Analysis and detection of singularities; Animation image analysis; Classification; Cluster analysis;

University of Catania, Italy & University of Florida, USA

The Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment.

Event Secretariat;     Email: acain@icas.cc

Artificial Intelligence, Neuroscience, Cognitive Science, Computational Neuroscience, Foundation models, Large Language Models.

Neural Networks and Artificial Intelligence, Machine Learning,    Neurology