About Computer Vision Conference
The Computer Vision Conference (CVC) stands as a leading international computer vision conference, bringing together the global research community advancing the theory and practice of visual computing. Established as a premier venue for scholarly exchange, CVC attracts researchers, engineers, and practitioners to present and examine cutting-edge work in computer vision, image processing, data science, and deep learning.
The conference provides a rigorous, peer-reviewed forum for disseminating foundational research and applied innovations. It fosters interdisciplinary dialogue, encourages collaboration across academia and industry, and addresses both methodological advances and real-world deployment challenges.
CVC 2026 continues to shape the evolving research agenda of computer vision, from core principles to transformative applications.
Proceedings
Proceedings will be published in Springer series "Lecture Notes in Networks and Systems".
Awards
The conference recognizes outstanding papers and posters presented at the conference. Awards are presented across various categories, with recipients recognized during the conference closing.
Keynote Talks
Discover high-impact approaches and bold solutions to some of the most complex challenges in computer vision and AI.
International Audience
With participants from more than 55 countries, CVC offers a truly international perspective—where diverse insights converge to accelerate discovery.
Conference Tracks
Machine Vision and Deep Learning
- Foundation Models in Vision
- Vision Transformers
- Self-supervised Learning
- Diffusion Models
- Explainable AI (XAI)
- Cloud & Edge-enabled Vision Systems
- Human Computer Interaction
- Convolutional Neural Networks
- Motion Synthesis
Image Processing
- Image/Video Enhancement
- Object Detection
- Motion Deblurring
- Feature Detection
- Visual Recognition
- Multi & Spatio-Temporal Processing
- Text-to-Image/Video Synthesis
- Scene Understanding
- Multi-modal Image Fusion
- Photorealistic Image Synthesis
Data Science
- Predictive Modeling
- Data Augmentation
- Statistical Analysis
- Dimensionality Reduction
- Anomaly Detection
- Causal Inference in Vision
- Transfer Learning
- Time-Series Analysis
- Clustering and classification
- Generative Adversarial Networks
Applications
- Autonomous vehicles
- Augmented/Virtual Reality (AR/VR)
- Brain-Machine Interfaces
- Robotics and Systems
- Surveillance & Security
- Intrusion Detection
- Remote Sensing
- Biometric Systems
- Medical Image Analysis
- Smart Cities