Call For Papers

AICVIP-2026 aims to bring together researchers, academicians, industry experts, and students to discuss the latest advancements and innovations in Artificial Intelligence, Computer Vision, and Image Processing. The conference will provide a platform for knowledge exchange, fostering collaboration and innovation in these rapidly evolving fields. Eminent speakers and experts will deliver keynote sessions, while researchers will present their groundbreaking work through technical papers and presentations. AICVIPA will also include workshops and panel discussions, offering valuable insights into real-world applications and future trends. With a strong emphasis on technological advancements, this conference is set to become a significant milestone in the academic and research landscape.

Track 1: Artificial Intelligence and Machine Learning

  • Deep Learning Architectures
  • Explainable AI (XAI)
  • Reinforcement Learning Applications
  • Natural Language Processing (NLP)
  • AI for Cybersecurity and Privacy
  • AI in Healthcare and Biomedical Applications
  • Edge AI and AIoT (Artificial Intelligence of Things)
  • AI Ethics and Responsible AI

Track 2: Computer Vision and Pattern Recognition

  • Object Detection and Recognition
  • Image and Video Analysis
  • Human Activity and Gesture Recognition
  • Scene Understanding and Semantic Segmentation
  • Optical Character Recognition (OCR)
  • Vision-based Human-Computer Interaction (HCI)
  • 3D Vision and Depth Estimation
  • AI for Remote Sensing and Satellite Imaging

Track 3: Image and Video Processing

  • Image Enhancement and Restoration
  • Super-Resolution and Image Reconstruction
  • Medical Image Processing
  • Image Compression and Transmission
  • Video Analytics and Surveillance
  • Multimedia Security and Watermarking
  • Real-Time Video Processing
  • Image Fusion and Multi-Spectral Imaging

Track 4: AI and Vision Applications in Industry

  • AI for Smart Manufacturing and Industry 4.0
  • Autonomous Vehicles and Intelligent Transportation
  • AI in Retail and E-commerce
  • Agriculture and Precision Farming using AI
  • AI-powered Smart Cities and IoT Applications
  • AI in Finance and Fraud Detection
  • AI for Robotics and Automation
  • AI in Defense and Surveillance

Track 5: Emerging Technologies in AI and Vision

  • Quantum Computing for AI and Vision
  • AI in Augmented and Virtual Reality (AR/VR)
  • Edge Computing and Federated Learning
  • Generative AI and Synthetic Media
  • Brain-Computer Interface (BCI) Applications
  • AI for Climate Change and Environmental Monitoring
  • AI and Vision in Wearable Devices
  • AI in Gaming and Entertainment

Track 6: Ethics, Challenges, and Future Trends

  • Ethical and Social Implications of AI
  • Bias and Fairness in AI Models
  • Security and Privacy Challenges in AI and Vision
  • Regulations and Policies for AI and Computer Vision
  • Human-AI Collaboration and Trustworthiness
  • Sustainable AI and Green Computing
  • Future Trends in AI and Image Processing
  • Open Challenges in AI, Vision, and Image Processing