CVPR 2020 : Conference on Computer Vision and Pattern Recognition

Important: Please note that the policies have been extensively updated from the 2019 version, including guidelines related to arXiv prior work, code submission, and research areas.

Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to

3D computer vision

Action and behavior recognition

Adversarial learning, adversarial attack and defense methods

Biometrics, face, gesture, body pose

Computational photography, image and video synthesis

Datasets and evaluation

Efficient training and inference methods for networks

Explainable AI, fairness, accountability, privacy, transparency and ethics in vision

Image retrieval

Low-level and physics-based vision

Machine learning architectures and formulations

Medical, biological and cell microscopy

Motion and tracking

Neural generative models, auto encoders, GANs

Optimization and learning methods

Recognition (object detection, categorization)

Representation learning, deep learning

Scene analysis and understanding

Segmentation, grouping and shape

Transfer, low-shot, semi- and un- supervised learning

Video analysis and understanding

Vision + language, vision + other modalities

Vision applications and systems, vision for robotics and autonomous vehicles

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.