On-location / Digital Conference

[email protected]
+91 9344535349

International Conference on Visual Recognition and Machine Learning (ICVRML-27)

11th - 12th Feb 2027,Volgograd, Russia

Present Your Research Participate as Listener
Registration Options → Access all conference participation categories along with applicable registration options and benefits.

In Association With:

Call for Paper

  1. Home
  2. Call for Paper


Important Dates


Early Bird Registration

12th Jan 2027

Paper Submission Deadline

17th January 2027

Registration Deadline

27th January 2027

Conference Date

11th - 12th Feb 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Volgograd ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Volgograd conference.
  • Peer Review Process:
    The peer review process will begin soon for Volgograd conference.
  • Networking with Global Experts:
    Join global experts at our conference in Volgograd.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICVRML 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 Visual Recognition and 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:

  • Deep learning for visual recognition
  • Image classification techniques and challenges
  • Object detection algorithms and applications
  • Visual data augmentation strategies
  • Transfer learning in visual recognition
  • Ethics in machine learning applications
  • Real-time visual recognition systems
  • Multi-modal visual data analysis
  • Human-computer interaction in visual systems
  • Visual recognition in autonomous vehicles
  • Face recognition and privacy concerns
  • 3D object recognition techniques
  • Visual recognition in healthcare applications
  • Adversarial attacks on visual systems
  • Explainable AI in visual recognition
  • Visual recognition in social media
  • Benchmarking visual recognition datasets
  • Visual recognition for augmented reality
  • Challenges in large-scale visual datasets
  • Future trends in visual machine learning

Assessment

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.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
all conference alert
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01

Academic Institutions Whose Scholars Have Contributed

Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01

Copyright © . All Rights Reserved Terms and Conditions