Papers in the main technical program must describe high-quality, original research. Topics of interest cover 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
    Event-based cameras
    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  
    Computer Vision for Robotics  
    Scene analysis and understanding  
    Segmentation, grouping and shape analysis  
    Self-, semi-, meta- and 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