{"id":737755,"date":"2021-04-01T21:37:27","date_gmt":"2021-04-02T04:37:27","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&#038;p=737755"},"modified":"2022-04-22T08:45:58","modified_gmt":"2022-04-22T15:45:58","slug":"azure-computer-vision-research","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/azure-computer-vision-research\/","title":{"rendered":"Azure Computer Vision Research"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background-grey card-background--full-bleed\">\n\t\t\t\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 align-self-center\">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 id=\"azure-computer-vision-research\" class=\"h2\">Azure Computer Vision Research<\/h1>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>Azure Computer Vision Research (ACVR) group is conducting cutting edge research in all aspects of computer vision, with the goal of advancing the state of the art and&nbsp;developing the best computer vision technologies as part of our mission to empower everyone on the planet to achieve more using the best technologies.<\/p>\n\n\n\n<p>The problems that we are interested 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.<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Azure Computer Vision Research (ACVR) group is conducting cutting edge research in all aspects of computer vision, with the goal of advancing the state of the art and\u00a0developing the best computer vision technologies as part of our mission to empower everyone on the planet to achieve more using the best technologies.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556,13562],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-737755","msr-group","type-msr-group","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[],"related-researchers":[{"type":"user_nicename","display_name":"Dongdong Chen","user_id":40198,"people_section":"Section name 0","alias":"dochen"},{"type":"user_nicename","display_name":"Yen-Chun Chen","user_id":39672,"people_section":"Section name 0","alias":"yenche"},{"type":"guest","display_name":"Yi-Ling Chen","user_id":658815,"people_section":"Section name 0","alias":""},{"type":"user_nicename","display_name":"Noel Codella","user_id":41635,"people_section":"Section name 0","alias":"ncodella"},{"type":"user_nicename","display_name":"Xiyang Dai","user_id":40384,"people_section":"Section name 0","alias":"xidai"},{"type":"guest","display_name":"Mei Gao","user_id":658818,"people_section":"Section name 0","alias":""},{"type":"user_nicename","display_name":"Michael Zeng","user_id":33141,"people_section":"Section name 0","alias":"nzeng"}],"related-publications":[655836,737335,666435,737341,666465,737359,666750,737521,684063,817309,238121,684084,847411,490319,695775,863313,490376,704578,905169,592633,717262,999306,611088,737296,631785,737326],"related-downloads":[],"related-videos":[],"related-projects":[],"related-events":[],"related-opportunities":[],"related-posts":[],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/737755"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/737755\/revisions"}],"predecessor-version":[{"id":934059,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/737755\/revisions\/934059"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=737755"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=737755"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=737755"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=737755"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=737755"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}