Call for Lectures

The IMVC 2026 Conference will include presentations by leading Israeli and international researchers in image and video processing, computer vision and AI and deep learning. The Conference will feature four parallel tracks, which will discuss the various aspects of computer vision and AI vision, from algorithmic development to advanced analysis, image understanding and efficient implementation and deployment.

We invite you to submit your work to IMVC 2026, where you'll have the opportunity to present your research in front of a professional and engaged audience.

Authors who wish to present their work are invited to submit a description between 1-3 pages, with an emphasis on originality and innovation. All submitted papers will be reviewed by a team of researchers from the industry and academy, according to the criteria of quality, relevance and originality.

The lectures can include the topics listed below but are not limited to them

Core Computer Vision & AI Technologies

• Vision Transformers (ViTs) and Hybrid CNN-Transformer Architectures
• 3D Gaussian Splatting and Neural Radiance Fields (NeRF)
• Edge AI and Real-Time Visual Processing
• Multimodal AI and Vision-Language Models (VLMs)
• Foundation Models for Computer Vision
• Diffusion Models for Image Generation and Enhancement

Advanced AI Methodologies

• Agentic Computer Vision with Natural Language Prompts
• Physics-Aware Vision Systems and Behavioral Understanding
• Self-Supervised Learning and Contrastive Methods
• Neural Architecture Search (NAS) and AutoML for Vision
• Explainable AI (XAI) in Vision Systems
• Federated Learning for Distributed Vision Applications

Emerging Technologies & Applications

• Spatial Computing and 3D Scene Understanding
• Synthetic Data Generation and Data Augmentation
• Neural Rendering and Real-Time Ray Tracingyoutube
• Quantum Machine Learning for Computer Vision
• Event-Based Vision and Neuromorphic Computing
• Multi-Sensor Fusion (Visual + Radar + LiDAR)

Specialized Application Domains

• Autonomous Systems and Robotics Vision
• Medical Imaging and AI-Enabled Diagnostics
• Industrial Automation and Quality Inspection
• Augmented Reality (AR) / Virtual Reality (VR)
• Computational Photography and Mobile Vision
• Geospatial AI and Satellite Imagery Analysisyoutube

Technical Foundations & Optimization

• Neural Network Compression and Model Optimization
• Hardware Acceleration and NPU Integration
• Real-Time Inference and Low-Latency Systems
• Memory-Efficient Architectures and Edge Deployment
• Privacy-Preserving Computer Vision

Cutting-Edge Research Areas

• Few-Shot and Zero-Shot Learning
• Domain Adaptation and Transfer Learning
• Anomaly Detection and Outlier Analysis
• Point Cloud Processing and 3D Understanding
• Graph Neural Networks for Vision
• Continual Learning and Lifelong Vision Systems
• Adversarial Robustness and Security in Vision AI

Authors who wish to present their work are invited to submit a description between 1-3 pages, with an emphasis on originality and innovation. All submitted papers will be reviewed by a team of researchers from the industry and academy, according to the criteria of quality, relevance and originality.

Please send your paper to: Dr. Koby Cohen or Dr.  Chen Sagiv