{"id":775504,"date":"2021-08-25T10:22:19","date_gmt":"2021-08-25T17:22:19","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=775504"},"modified":"2021-10-23T17:38:14","modified_gmt":"2021-10-24T00:38:14","slug":"tightly-connecting-vision-and-language","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/tightly-connecting-vision-and-language\/","title":{"rendered":"Tightly Connecting Vision and Language"},"content":{"rendered":"<p>Remarkable progress has been made at the intersection of vision and language. While showing great promise, current vision and language models may only weakly &#8220;connect&#8221; the two modalities and often fail in the wild. In this talk, I will present our recent efforts aiming to bridge this gap along two dimensions: informativeness and controllability. In particular, I will describe how we can leverage large-scale datasets, including our recently-released CC12M and Localized Narratives, to benefit existing vision-and-language tasks as well as to enable new applications.<\/p>\n<div>\n\t<a\n\t\thref=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/10\/082521_Soravit_Beer_Changpinyo_MSR_Tightly_Connecting_Vision_and_Language.pdf\"\n\t\tclass=\"button cta-link\"\n\t\tdata-bi-type=\"button\"\n\t\tdata-bi-cN=\"View slides\"\n\t\tdata-bi-tN=\"shortcodes\/msr-button\"\n\t\ttarget=\"_blank\" rel=\"noopener noreferrer\">\n\t\tView slides\t<\/a>\n\n\t<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Remarkable progress has been made at the intersection of vision and language. While showing great promise, current vision and language models may only weakly &#8220;connect&#8221; the two modalities and often fail in the wild. In this talk, I will present our recent efforts aiming to bridge this gap along two dimensions: informativeness and controllability. In [&hellip;]<\/p>\n","protected":false},"featured_media":775507,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-video-type":[259633],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-775504","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-video-type-vision-language-summer-talk-series","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/3D7XwXDCZ30","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/775504","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/775504\/revisions"}],"predecessor-version":[{"id":787741,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/775504\/revisions\/787741"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/775507"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=775504"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=775504"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=775504"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=775504"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=775504"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=775504"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=775504"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=775504"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=775504"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=775504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}