IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPRW)

Papers in the main technical program must describe high-quality, original research. 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