International Conference on

Visual Recognition and Machine Learning (ICVRML-26)

15th – 16th Oct 2026 | Shanghai, China | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Visual Recognition and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Vision Engineering encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Deep learning for visual recognition
02
Image classification techniques and challenges
03
Object detection algorithms and applications
04
Visual data augmentation strategies
05
Transfer learning in visual recognition
06
Ethics in machine learning applications
07
Real-time visual recognition systems
08
Multi-modal visual data analysis
09
Human-computer interaction in visual systems
10
Visual recognition in autonomous vehicles
11
Face recognition and privacy concerns
12
3D object recognition techniques
13
Visual recognition in healthcare applications
14
Adversarial attacks on visual systems
15
Explainable AI in visual recognition
16
Visual recognition in social media
17
Benchmarking visual recognition datasets
18
Visual recognition for augmented reality
19
Challenges in large-scale visual datasets
20
Future trends in visual machine learning
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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