Title:
Conference on Computer Vision and Pattern Recognition
Description:
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