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Call For Papers

The ICCVML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Computer vision applications in industry
  • Deep learning for image recognition
  • Real-time object detection techniques
  • Ethics in computer vision research
  • Image processing techniques for analysis
  • Computer vision in autonomous vehicles
  • Facial recognition technology advancements
  • Augmented reality and computer vision
  • Challenges in computer vision algorithms
  • Applications of computer vision in healthcare
  • Machine learning for video analysis
  • 3D reconstruction and computer vision
  • Computer vision in robotics applications
  • Natural language processing and vision integration
  • Future trends in computer vision technologies
  • Collaborative projects in computer vision
  • Impact of computer vision on society
  • Security concerns in computer vision systems
  • Computer vision for environmental monitoring
  • AI-driven solutions for image analysis

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.