The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2027)

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2027) is dedicated to computer vision and pattern recognition including color detection, tracking, motion, object recognition, stereo and object detection.

Key Topics

• 3D from single images
• 3D from multi-view and sensors
• Autonomous driving
• Adversarial attack and defense
• Computational imaging
• Biometrics
• Computer vision theory
• Computer vision for social good
• Deep learning architectures and techniques
• Datasets and evaluation
• Efficient and scalable vision
• Document analysis and understanding
• Explainable computer vision
• Embodied vision: Active agents, simulation
• Movement
• Humans: Face, body, pose, gesture
• Low-level vision
• Image and video synthesis and generation
• Medical and biological vision, cell microscopy
• Machine learning (other than deep learning)
• Optimization methods (other than deep
• Multimodal learning
• Photogrammetry and remote sensing
• Learning)
• Recognition: Categorization, detection
• Physics-based vision and shape-from-X
• Representation learning
• Retrieval
• Scene analysis and understanding
• Robotics
• Self-& semi-& meta-& unsupervised learning
• Segmentation, grouping and shape analysis
• Learning
• Transfer/ low-shot/ continual/ long-tail
• And ethics in vision
• Transparency, fairness, accountability, privacy
• Video: Low-level analysis, motion, and
• Video: Action and event understanding
• Vision + graphics
• Tracking
• Vision applications and systems
• Vision, language, and reasoning