Topics include:

• 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