{"id":241718,"date":"2016-06-24T09:00:27","date_gmt":"2016-06-24T16:00:27","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=241718"},"modified":"2016-08-18T11:26:40","modified_gmt":"2016-08-18T18:26:40","slug":"sharing-vision-cvpr-2016","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/sharing-vision-cvpr-2016\/","title":{"rendered":"Sharing our vision at CVPR 2016"},"content":{"rendered":"<p><em>By <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/awf\/\" target=\"_blank\">Andrew Fitzgibbon<\/a>, Principal Researcher, Microsoft Research Cambridge<\/em><\/p>\n<div id=\"attachment_241751\" style=\"width: 388px\" class=\"wp-caption alignleft\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-241751\" class=\"wp-image-241751\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/Andrew-Fitzgibbon-300x200.jpg\" alt=\"Andrew Fitzgibbon\" width=\"378\" height=\"252\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/Andrew-Fitzgibbon-300x200.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/Andrew-Fitzgibbon-768x511.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/Andrew-Fitzgibbon-1024x682.jpg 1024w\" sizes=\"auto, (max-width: 378px) 100vw, 378px\" \/><p id=\"caption-attachment-241751\" class=\"wp-caption-text\">Photo by Jonathan Banks<\/p><\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-241775\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/CVPR-2016.png\" alt=\"CVPR 2016\" width=\"240\" height=\"39\" \/><\/p>\n<p>This year, the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/\" target=\"_blank\">IEEE Conference on Computer Vision and Pattern Recognition<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (CVPR) will take place at Caesar&#8217;s Palace from June 26\u2013July 1 in Las Vegas, Nevada. CVPR is the premier annual computer vision event that includes the main conference and several co-located workshops and short courses. With an international roster of speakers, exhibitors, and attendees, it provides an exceptional opportunity for students, academics, and industry researchers to meet and share ideas and research results.<\/p>\n<p>I am thrilled to be serving as an Area Chair along with my colleague <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jiansun\/\">Jian Sun<\/a>, from Microsoft Research Asia. Microsoft is a Platinum Sponsor this year, with over 25 papers being presented and 40 researchers, designers, and engineers attending from across the company, representing Xbox, HoloLens, Bing, and Microsoft Research.<\/p>\n<p><span style=\"line-height: 1.5;\">One new and exciting addition to CVPR this year is for industrial and academic exhibitors. The Expo, which will be open during the entire CVPR event, is a unique opportunity for multiple worlds\u2014academics, students, budding entrepreneurs, technologists, and others\u2014to connect and catch up on the latest news and ideas. We hope you\u2019ll spend time at the Expo, and check out our talks, tutorials, posters, and workshops (see schedule below). Also, please stop by our booth to chat with us about projects and opportunities at Microsoft, from pedal-to-the-metal engineering to research in pure mathematics.<\/span><\/p>\n<h3>Conference Details<\/h3>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference\" target=\"_blank\">Main Conference<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: June 27\u2013June 30<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/tutorials\" target=\"_blank\">Tutorials<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: June 26<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/workshops\" target=\"_blank\">Workshops<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: June 26, July 1<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/industry_expo\" target=\"_blank\">Industry Expo<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>: June 27\u2013June 30<\/li>\n<\/ul>\n<h3>Presentations (Main Conference)<\/h3>\n<table>\n<tbody>\n<tr>\n<td>(O)<\/td>\n<td>Oral<\/td>\n<\/tr>\n<tr>\n<td>(S)<\/td>\n<td>Spotlight<\/td>\n<\/tr>\n<tr>\n<td>(P)<\/td>\n<td>Poster<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<table>\n<tbody>\n<tr>\n<td colspan=\"2\" width=\"119\"><strong>Session<\/strong><\/td>\n<td colspan=\"2\" width=\"636\"><strong>Title<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\"><span style=\"text-decoration: underline;\">Monday<\/span><\/td>\n<td colspan=\"2\" width=\"636\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(O) Mon a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#O1-1B\" target=\"_blank\">The Global Patch Collider<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(O) Mon a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#O1-1A\" target=\"_blank\">Stacked Attention Networks for Image Question Answering<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Mon a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P1-1\" target=\"_blank\">Efficient and Robust Color Consistency for Community Photo Collections<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Mon a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P1-1\" target=\"_blank\">InterActive: Inter-Layer Activeness Propagation<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Mon a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P1-1\" target=\"_blank\">TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Mon p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P1-2\" target=\"_blank\">A Multi-Level Contextual Model for Person Recognition in Photo Albums<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(S) Mon p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#S1-2B\" target=\"_blank\">Highlight Detection with Pairwise Deep Ranking for First-Person Video Summarization<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(S) Mon p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#S1-2B\" target=\"_blank\">You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\"><span style=\"text-decoration: underline;\">Tuesday<\/span><\/td>\n<td colspan=\"2\" width=\"636\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Tue a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P2-1\" target=\"_blank\">Collaborative Quantization for Cross-Modal Similarity Search<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Tue a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P2-1\" target=\"_blank\">Supervised Quantization for Similarity Search<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Tue a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P2-1\" target=\"_blank\">Efficient Intersection of Three Quadrics and Applications in Computer Vision<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Tue a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P2-1\" target=\"_blank\">Image Deblurring Using Smartphone Inertial Sensors<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(S) Tue a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#S2-1A\" target=\"_blank\">Large-Scale Location Recognition and the Geometric Burstiness Problem<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(S) Tue p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#S2-2B\" target=\"_blank\">Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">\u00a0<span style=\"text-decoration: underline;\">Wednesday<\/span><\/td>\n<td colspan=\"2\" width=\"636\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(O) Wed a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#O3-1B\" target=\"_blank\">Instance-Aware Semantic Segmentation via Multi-Task Network Cascades<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Wed p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P3-2\" target=\"_blank\">Joint Recovery of Dense Correspondence and Cosegmentation in Two Images<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Wed a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P3-1\" target=\"_blank\">Sparse to Dense 3D Reconstruction from Rolling Shutter Images<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(O) Wed a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#O3-1B\" target=\"_blank\">ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\"><span style=\"text-decoration: underline;\">Thursday<\/span><\/td>\n<td colspan=\"2\" width=\"636\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Thu a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P4-1\" target=\"_blank\">MSR-VTT: A Large Video Description Dataset for Bridging Video and Language<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Thu a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P4-1\" target=\"_blank\">Ordinal Regression with a Multiple Output CNN for Age Estimation<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(P) Thu a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#P4-1\" target=\"_blank\">DisturbLabel: Regularizing CNN on the Loss Layer<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(O) Thu a.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#O4-1A\" target=\"_blank\">Jointly Modeling Embedding and Translation to Bridge Video and Language<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(O) Thu p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#O4-2B\" target=\"_blank\">HyperDepth: Learning Depth from Structured Light Without Matching<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(S) Thu p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#S4-3A\" target=\"_blank\">Fits Like a Glove: Fast and Easy Hand Model Personalization<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"119\">(S) Thu p.m.<\/td>\n<td colspan=\"2\" width=\"636\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/program\/main_conference#S4-2B\" target=\"_blank\">Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Learn more<\/strong><\/p>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/blogs.microsoft.com\/next\/2016\/06\/26\/talking-hands-microsoft-researchers-moving-beyond-keyboard-mouse\/#sm.00008sih57ie1e99xg12krhdlm18g\">Talking with your hands: How Microsoft researchers are moving beyond keyboard and mouse<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/cvpr2016.thecvf.com\/\" target=\"_blank\">CVPR 2016<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/research-area\/computer-vision\/\" target=\"_blank\">Computer Vision at Microsoft Research<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/research-area\/intelligence-machine-learning\/\">Machine Learning at Microsoft Research<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>By Andrew Fitzgibbon, Principal Researcher, Microsoft Research Cambridge This year, the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) will take place at Caesar&#8217;s Palace from June 26\u2013July 1 in Las Vegas, Nevada. CVPR is the premier annual computer vision event that includes the main conference and several co-located workshops and short courses. With [&hellip;]<\/p>\n","protected":false},"author":39507,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[],"msr_hide_image_in_river":0,"footnotes":""},"categories":[204945,194471,194455],"tags":[186897,201155,205895,186418],"research-area":[13556,13562],"msr-region":[197900],"msr-event-type":[197941],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-241718","post","type-post","status-publish","format-standard","hentry","category-conferences","category-computer-vision","category-machine-learning","tag-computer-vision","tag-cvpr","tag-ieee-conference-on-computer-vision-and-pattern-recognition","tag-machine-learning","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_event_details":{"start":"2016-06-26","end":"2016-07-01","location":"Las Vegas, NV, USA"},"podcast_url":"","podcast_episode":"","msr_research_lab":[199560],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","byline":"","formattedDate":"June 24, 2016","formattedExcerpt":"By Andrew Fitzgibbon, Principal Researcher, Microsoft Research Cambridge This year, the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) will take place at Caesar&#039;s Palace from June 26\u2013July 1 in Las Vegas, Nevada. CVPR is the premier annual computer vision event that includes the&hellip;","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/241718","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/39507"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=241718"}],"version-history":[{"count":20,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/241718\/revisions"}],"predecessor-version":[{"id":279219,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/241718\/revisions\/279219"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=241718"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=241718"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=241718"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=241718"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=241718"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=241718"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=241718"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=241718"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=241718"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=241718"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=241718"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}