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 robotics
    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
    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