CVPR 2025 — IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

 Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to:

• 3D from multi-view and sensors  
• 3D from single images  
• Adversarial attack and defense
• Autonomous driving
• Biometrics  
• Computational imaging  
• Computer vision for social good  
• Computer vision theory  
• Datasets and evaluation  
• Deep learning architectures and techniques  
• Document analysis and understanding  
• Efficient and scalable vision  
• Embodied vision: Active agents, simulation
• Explainable computer vision  
• Humans: Face, body, pose, gesture,
• movement
• Image and video synthesis and generation  
• Low-level vision  
• Machine learning (other than deep learning)
• Medical and biological vision, cell microscopy 
• Multimodal learning

• Optimization methods (other than deep
• learning)
• Photogrammetry and remote sensing  
• Physics-based vision and shape-from-X  
• Recognition: Categorization, detection,
• retrieval  
• Representation learning  
• Robotics  
• Scene analysis and understanding  
• Segmentation, grouping and shape analysis  
• Self-& semi-& meta-& unsupervised learning
• Transfer/ low-shot/ continual/ long-tail
• learning  
• Transparency, fairness, accountability, privacy
• and ethics in vision  
• Video: Action and event understanding 
• Video: Low-level analysis, motion, and
• tracking  
• Vision + graphics  
• Vision, language, and reasoning  
• Vision applications and systems