Important: Please note that the policies have been extensively updated from previous years, including guidelines related to code submission, research areas, and code of conduct. Papers in the main technical program must describe high-quality, original research. Topics of interest include the following aspects of computer vision and pattern recognition (in alphabetical order): 3D from a single image and shape-from-x 3D shape modeling and processing Action and behavior recognition Adversarial learning Biometrics Body gestures and pose Computational photography Datasets and evaluation Detection and localization in 2D and/or 3D Efficient training and inference methods Explainable AI for CV Faces Fairness, accountability, transparency, and ethics in vision First person (Egocentric) vision Image and video manipulation detection Image and video retrieval Image and video synthesis Low-level and physics-based vision Low-shot learning Machine learning architectures and formulations Medical, biological, and cell microscopy Motion and tracking Neural generative models Optimization and learning methods Recognition and classification Representation learning Scene analysis and understanding Scene text and document understanding Segmentation, grouping, and shape Semi / Weak / Self / Unsupervised lLearning Stereo, 3D from multiview and other sensors Transfer learning Video analysis and understanding Vision + language Vision + other modalities Vision applications and systems Vision for and autonomous vehicles Vision for robotics and embodied vision Visual reasoning and logical representation All submissions will be handled electronically. In addition to the main technical program, the conference will include Tutorials, Workshops, Demonstrations, and Exhibits. Submit proposals to the appropriate chair.