About the Journal

Aim

Journal of Visual Artificial Intelligence an open access, quarterly, peer-reviewed journal devoted to the publication of high-quality research in the fields of computer vision, machine perception, and artificial intelligence. The journal spans the whole field of visual AI, including basic vision algorithms and intelligent visual systems, to advanced applications of AI in robotics, autonomous systems, medical imaging, digital media, and multimodal AI.

It aims to showcase the recent advancements that make machines perceive and comprehend the visual world, such as neural architecture developments, visual reasoning, generative models, and multimodal learning systems. The journal seeks to deliver theoretical creativity for practical implementation and present visual artificial intelligence, leading to advancements in science, engineering, medicine, security, sustainability, and human-AI interaction.

The journal has a mission of advancing rigorous, ethically sound, and socially relevant research that pushes the limits of automated perception. It promotes contributions that demonstrate how visual AI technologies can be used to tackle the complex problems of the world- support innovation in areas such as environmental monitoring, smart cities, intelligent vehicles, multimedia systems, and immersive reality.

Serial title Journal of Visual Artificial Intelligence
Abréviations: J. Vis. Artif. Intell.)
Starting Year 2026
Frequency of the publication Quarterly
Publication format Online
Related Subject and Title Multidisciplinary Subjects (Computer Vision, Machine Learning & Deep Learning, Visual Artificial Intelligence, Pattern Recognition, Visual Data Analytics, Signal & Image Analysis etc)
Language English
Name of Issuing/ Publishing body G R Scholastic LLP
Address 607, 608 The Emporio, Opp. 4D Square Mall, Visat-Gandhinagar Highway, Chandkheda, Ahmedabad – 382424, Gujarat, India

Article Type

The Journal of Visual Artificial Intelligence publishes the following types of scholarly contributions:

  • Research articles
  • Review articles
  • Comments
  • Personal Account
  • Case study
  • Short notes
  • Surveys
  • Communication

Scope:

Submissions are welcomed from, but not limited to, the following research areas-provided they meet the journal's ethical, scientific, and methodological standards:

Core Visual AI Areas

  • Computer Vision Algorithms and Architecture
  • Image, Video, and 3D Scene Understanding
  • Visual Perception in Robotics and Autonomous Systems
  • Object Detection, Tracking, and Recognition
  • Generative visual models (GANs, diffusion models, neural rendering)

Machine Learning & Intelligence

  • Deep Learning and Representation Learning for Vision
  • Multimodal AI (vision + language, vision + audio, etc.)
  • Explainable and Interpretable Visual AI
  • Probabilistic and Neuro-symbolic Vision Models

Applications of Visual Artificial Intelligence

  • Medical Image Analysis, Diagnosis, and Intelligent Healthcare
  • Remote Sensing and Environmental Monitoring
  • Face, Gesture, and Human Behavior Analysis
  • Smart Surveillance and Security Analytics
  • Industrial Vision Systems and Quality Inspection

Systems, Tools & Infrastructure

  • Edge and Real-Time Visual AI Processing
  • Visual AI for Embedded and IoT Devices
  • Vision-based Cyber-Physical Systems
  • Visual Data Annotation, Benchmarking, and Evaluation

Ethics, Society & Human-AI Interaction

  • Responsible and Fair Visual AI
  • Privacy-Preserving Vision Systems
  • Human-AI Collaboration through Visual Interfaces
  • Visual AI for Education, Accessibility, and Social Good