About Us

12th International Conference on Machine Vision and Machine Learning (MVML 2026)

Don't miss this opportunity to be part of MVML 2026

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The 12th International Conference on Machine Vision and Machine Learning (MVML 2026) will be delivered in-person in London, UK and virtually, providing the opportunity of online presentation for the people who can not travel for any reason. Attendees will be able to connect with researchers from across the globe and network in-person or virtually. The registration fee for virtual participation is reduced.

MVML 2026 is a part of the EECSS 2026 congress and conference papers will be published in the EECSS 2026 Congress proceedings.

The Machine Learning conference proceedings will be published with an ISSN and ISBN, indexed in Scopus and Google Scholar, Semantic Scholar and archived permanently in Portico.

The 12th International Conference on Machine Vision and Machine Learning (MVML 2026) aims to become the leading annual conference in fields related to machine vision and machine learning. The goal of this machine learning conference 2026   is to gather scholars from all over the world to present advances in the relevant fields and to foster an environment conducive to exchanging ideas and information. This Machine Learning conference will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields.

MVML is an acronym for Machine Vision and Machine Learning.

Topics for MVML 2026 include, but are not limited, to the following:

Poster Board Dimensions:
Authors presenting via poster boards are to be informed that poster boards are 90 cm height and 70 cm width.

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Conference Topics

Topics for MVML 2026 include, but are not limited to, the following:

  • Adaptive Systems
  • Affective Computing
  • Artificial Intelligence for Machine Vision
  • Camera Calibration
  • Data Mining for the Web
  • Event Recognition
  • Evolutionary Computing
  • Face, Gesture, and Action Recognition
  • Image/Video Processing
  • Logistics
  • Machine Learning
  • Machine Vision
  • Motion and Flow
  • Neurocomputing
  • Object Recognition
  • Object Tracking
  • Pattern Recognition
  • Perception-based Studies for Image/Video Processing
  • Person, Face, and Gesture Tracking
  • Soft Computing for Machine Learning and Pattern Recognition
  • Soft Computing for Machine Vision
  • Statistical Methods and Learning
  • Texture, Shape, and Colour
  • Video Compression
  • Video Content Analysis
  • Vision and Learning in Robotics
  • and More…