Azure Computer Vision Research (ACVR) group is part of the Azure AI Cognitive Services Research (CSR) group, focusing on cutting edge research in computer vision to advance the state of the art and develop the next generation framework for visual recognition. The problems that we are interested in include image classification; object detection and segmentation; motion analysis and object tracking; dense pose, head, and mask tracking, action recognition; image generation; real-time video understanding; visual representation learning; multi-modality representation learning; and unsupervised/self-supervised/contrastive learning. We leverage large-scale GPU and CPU clusters as well as internal and public data sets to develop world-leading deep learning technologies for core vision problems and generic visual representation that can be customized to a wide range of downstream tasks and real applications. The team also runs Project Florence, with a focus on developing universal backbones with shared representations for a wide spectrum of visual categories, aiming at accelerating Microsoft vision product shipping using state-of-the-art large-scale deep learning models.