MAPR 2026 – Call for Papers

9th International Conference on Multimedia Analysis and Pattern Recognition (MAPR 2026)

Hue, Vietnam – August 13–14, 2026
Technical Sponsor: Vietnam Association on Pattern Recognition (VAPR)

About the Conference

MAPR 2026 provides a forum for researchers and practitioners from academia and industry to share their latest findings and foster collaborations in AI, pattern recognition, multimedia, and emerging application domains.
Authors are invited to submit original and unpublished research papers. In 2026, submissions are categorized into three focused tracks to facilitate review and maximize impact.

Conference Tracks & Topics of Interest

Please select the most relevant track for your submission. Topics of interest include (but are not limited to):

Track 1 – Foundations of AI and Machine Learning

• Statistical, Syntactic and Structural Pattern Recognition
• Machine Learning and Data Mining
• Dimensionality Reduction and Manifold Learning
• Classification and Clustering
• Graphical Models for Pattern Recognition
• Deep Learning
• Pattern Recognition for Big Data
• Transfer Learning
• Federated Learning
• Explainable AI
• Trustworthy & Ethical AI
• Reinforcement Learning and Planning
• Graph Learning & Knowledge Representation
• Human-in-the-loop and Interactive Learning

Track 2 – Computer Vision, Multimedia, and Language Processing

Computer Vision

• Image and Video Processing
• Image Segmentation
• Object Detection and Recognition (2D/3D)
• Activity and Event Analysis
• Motion Analysis and Tracking
• Scene Understanding
• Stereo and Multi-view Geometry
• Vision for Robotics
• Face Detection, Tracking, and Recognition
• Gesture and Gait Recognition
• Egocentric and First-person Vision

Multimedia Analysis

• Audio and Speech Processing
• Multimedia Feature Extraction
• Enhancement, Restoration, and Filtering
• Coding, Compression, and Super-resolution
• Multimedia Indexing and Retrieval
• Multimodal Information Fusion & Cross-modal Retrieval

Natural Language Processing (NLP)

• Large Language Models
• Natural Language Understanding and Generation
• Visual Question Answering
• Dialogue Systems and Conversational AI
• Fact Checking and Verification
• Sentiment and Emotion Analysis
• Multimodal Language & Vision Integration
• Text Summarization
• Speech and Audio-Text Analytics

Document Analysis & Recognition

• Document Structure and Understanding
• OCR: Character, Text, Handwriting, and Mathematical Expression Recognition
• Table & Form Understanding
• Graphics Recognition

Track 3 – AI Applications and Emerging Domains

AI in Healthcare

• Medical Image Analysis and Computer-aided Diagnosis
• Clinical Data Mining and Electronic Health Records
• Predictive Modeling for Healthcare
• AI-assisted Medical Decision Support Systems
• Privacy-preserving and Federated Healthcare AI
• Wearable Devices and Patient Monitoring
• Biomedical Signal Processing
• Healthcare Chatbots and Virtual Assistants
• Healthcare Operations and Workflow Optimization
• Explainable, Trustworthy, and Fair AI in Healthcare

AI for Cybersecurity

• AI for Threat Detection and Prevention
• User Behavior Analytics
• Fraud Detection and Risk Assessment
• Adversarial Attacks and Defenses
• Digital Forensics
• Vulnerability Management
• Privacy-friendly AI for Security

AI Hardware, VLSI, and Resource-Constrained Systems

• Hardware-aware Neural Network Optimization 
• Low-Power and Energy-Efficient Architectures for Edge and Embedded AI 
• Compute-in-Memory (CiM) and Neuromorphic Hardware for AI Acceleration
• AI-Driven Electronic Design Automation (EDA) and Chip Design Automation
• Domain-Specific Architectures (DSA) for Deep Learning Workloads
• Hardware/Software Co-design for Efficient AI Deployment
• Security and Robustness of AI Accelerators at the Circuit Level

Other AI Applications & Emerging Domains

• Visual Inspection & Quality Assessment
• Food and Agriculture Product Quality Assessment
• Mobile and Embedded AI Applications
• Edge AI
• Multimedia Search Engines
• Assistive Technologies (Mobility Aid, Accessibility)
• AI for Social Good & Sustainability
• AI in Education and E-Learning
• Digital Transformation in Society & Business
• AI for Environment & Climate
• Other Innovative Applications

Paper Submission and Publication

• Authors are invited to submit original and unpublished papers in English, prepared according to the IEEE standard conference template. Submissions must be anonymous and comply with the instructions for double-blind peer review. Each paper is limited to a maximum of 6 pages, including all figures, tables, and references.
• All submitted manuscripts will be reviewed on the basis of technical quality, relevance, originality, significance, and clarity.
• Accepted papers must be presented at the conference (in-person) by one of the authors.
• Accepted and presented papers will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE’s scope and quality requirements.

Important Dates

Contact

For inquiries and correspondence, please email:
mapr@uit.edu.vn

We look forward to your contributions and to welcoming you to Hue, Vietnam!