{"id":238889,"date":"2016-06-14T21:33:41","date_gmt":"2016-06-15T04:33:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=238889"},"modified":"2016-11-07T11:59:21","modified_gmt":"2016-11-07T19:59:21","slug":"cvpr-2016","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/cvpr-2016\/","title":{"rendered":"CVPR 2016 and Microsoft Research"},"content":{"rendered":"<p><strong>Main Conference:<\/strong> June 27 &#8211; June 30<\/p>\n<p><strong>Tutorials:<\/strong> June 26<\/p>\n<p><strong>Workshops:<\/strong> June 26, July 1<\/p>\n<p><strong>Industry Expo:<\/strong> June 27 &#8211; June 30<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CVPR took place at Caesar&#8217;s Palace from June 26 &#8211; July 1, 2016, in Las Vegas, Nevada. CVPR is the premier annual computer vision event and included the main conference and several colocated workshops and short courses. With an international roster of speakers, exhibitors, and attendees, CVPR provides an exceptional opportunity for students, academics, and industry researchers to meet and share ideas and research results.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"msr_startdate":"2016-06-26","msr_enddate":"2016-07-01","msr_location":"Las Vegas, NV, USA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13562],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-238889","msr-event","type-msr-event","status-publish","hentry","msr-research-area-computer-vision","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"<strong>Main Conference:<\/strong> June 27 - June 30\r\n\r\n<strong>Tutorials:<\/strong> June 26\r\n\r\n<strong>Workshops:<\/strong> June 26, July 1\r\n\r\n<strong>Industry Expo:<\/strong> June 27 - June 30","tab-content":[{"id":0,"name":"About","content":"<a href=\"http:\/\/cvpr2016.thecvf.com\/\" target=\"_blank\">CVPR<\/a>\u00a0took place at Caesar's Palace from June 26 - July 1, 2016,\u00a0in Las Vegas, Nevada. CVPR is the premier annual computer vision event and included the main conference and several colocated workshops and short courses. With an international roster of speakers, exhibitors, and attendees, CVPR provides an exceptional opportunity for students, academics, and industry researchers to meet and share ideas and research results.\r\n\r\nThis year, for the first time, CVPR mounted an expo for industrial and academic exhibitors. Microsoft was proud to be a Platinum Sponsor, and had more than 40 researchers, designers, and engineers in attendance from groups throughout Microsoft: Xbox, Hololens, Bing, and Microsoft Research. We gave dozens of talks and plenty of posters and tutorials, and chatted about projects and opportunities at Microsoft, from pedal-to-the-metal engineering to research in pure mathematics.\u00a0Andrew Fitzgibbon talks about\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/sharing-vision-cvpr-2016\/\" target=\"_blank\">Sharing our vision at CVPR 2016<\/a>\u00a0on the Microsoft Research blog.\r\n<h2>Area chairs<\/h2>\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/awf\/\" target=\"_blank\">Andrew Fitzgibbon<\/a>, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jiansun\/\" target=\"_blank\">Jian Sun<\/a>, Microsoft Research<\/li>\r\n<\/ul>\r\n<h2>Program committee<\/h2>\r\n[col-1-2]\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/antcrim\/\" target=\"_blank\">Antonio Criminisi<\/a>, Microsoft Research<\/li>\r\n \t<li>Cem Keskin, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/davidwip\/\" target=\"_blank\">David Wipf<\/a>, Microsoft Research<\/li>\r\n \t<li>Dijia Wu, Microsoft<\/li>\r\n \t<li><a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/eyalofek\/\" target=\"_blank\">Eyal Ofek<\/a>, Microsoft<\/li>\r\n \t<li>Ido Leichter, Microsoft<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jamiesho\/\" target=\"_blank\">Jamie Shotton<\/a>, Microsoft Research<\/li>\r\n \t<li>Jeremy Jancsary, Microsoft<\/li>\r\n \t<li>Jiejie Zhu, Microsoft<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jifdai\/\" target=\"_blank\">Jifeng Dai<\/a>, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingdw\/\" target=\"_blank\">Jingdong Wang<\/a>, Microsoft Research<\/li>\r\n \t<li>Liang Du, Microsoft<\/li>\r\n<\/ul>\r\n[\/col-1-2]\r\n\r\n[col-1-2_last]\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/luyuan\/\" target=\"_blank\">Lu Yuan<\/a>, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/neel\/\" target=\"_blank\">Neel Joshi<\/a>, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/rxiao\/\" target=\"_blank\">Rong Xiao<\/a>, Microsoft Research<\/li>\r\n \t<li>Sameh Khamis, Microsoft<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/senowozi\/\" target=\"_blank\">Sebastian Nowozin<\/a>, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sbkang\/\" target=\"_blank\">Sing Bing Kang<\/a>, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/sudipsin\/\" target=\"_blank\">Sudipta Sinha<\/a>, Microsoft Research<\/li>\r\n \t<li>Takaaki Shiratori, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tmei\/\" target=\"_blank\">Tao Mei<\/a>, Microsoft Research<\/li>\r\n \t<li>Thomas J Cashman, Microsoft Research<\/li>\r\n \t<li>Xian-Sheng Hua, Microsoft Research<\/li>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yichenw\/\" target=\"_blank\">Yichen Wei<\/a>, Microsoft Research<\/li>\r\n<\/ul>\r\n[\/col-1-2_last]"},{"id":1,"name":"Accepted Papers","content":"<ul>\r\n \t<li>\"<a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/pkohli\/papers\/wfrik_cvpr2016.pdf\" target=\"_blank\">The Global Patch Collider<\/a>\" by\u00a0Shenlong Wang, Sean Ryan Fanello, Christoph Rhemann, Shahram Izadi, Pushmeet Kohli<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/lkf_cvpr2016.pdf\" target=\"_blank\">Layered Scene Decomposition via the Occlusion-CRF<\/a>\" by\u00a0Chen Liu, Pushmeet Kohli, Yasutaka Furukawa<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/CVPR16-ActivenessBackPropagation.pdf\" target=\"_blank\">InterActive: Inter-Layer Activeness Propagation<\/a>\" by\u00a0Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/parkcvpr2016.pdf\" target=\"_blank\">Efficient and Robust Color Consistency for Community Photo Collections<\/a>\" by\u00a0Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/2219.pdf\" target=\"_blank\">Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization<\/a>\" by\u00a0Ting Yao, Tao Mei, Yong Rui<\/li>\r\n \t<li>\"Efficient Intersection of Three Quadrics and Applications in Computer Vision\" by\u00a0Zuzana Kukelova, Jan Heller, Andrew Fitzgibbon<\/li>\r\n \t<li>\"Refining Architectures of Deep Convolutional Neural Networks\" by\u00a0Sukrit Shankar, Duncan Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/1512.06974v2.pdf\" target=\"_blank\">Seeing Through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels<\/a>\" by\u00a0Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross Girshick<\/li>\r\n \t<li>\"Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency\" by\u00a0Chi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/1505.01861v3.pdf\" target=\"_blank\">Jointly Modeling Embedding and Translation to Bridge Video and Language<\/a>\" by\u00a0Yingwei Pan, Tao Mei, Ting Yao, Houqiang Li, Yong Rui<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/CVPR16-DisturbLabel.pdf\" target=\"_blank\">DisturbLabel: Regularizing CNN on the Loss Layer<\/a>\" by\u00a0Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, Qi Tian<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/cvpr16.msr-vtt.tmei_.pdf\" target=\"_blank\">MSR-VTT: A Large Video Description Dataset for Bridging Video and Language<\/a>\" by\u00a0Jun Xu, Tao Mei, Ting Yao, Yong Rui<\/li>\r\n \t<li>\"HyperDepth: Learning Depth from Structured Light Without Matching\" by\u00a0Sean Ryan Fanello, Christoph Rhemann, Vladimir Tankovich, Adarsh Kowdle , Sergio Orts Escolano, David Kim, Shahram Izadi<\/li>\r\n \t<li>\"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/tan-cvpr2016.pdf\" target=\"_blank\">Fits Like a Glove: Rapid and Reliable Hand Shape Personalization<\/a>\" by\u00a0David Joseph Tan, Thomas Cashman, Jonathan Taylor, Andrew Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton<\/li>\r\n \t<li>\"Stacked Attention Networks for Image Question Answering\" by\u00a0Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola<\/li>\r\n \t<li>\"Deep Residual Learning for Image Recognition\" by\u00a0Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun<\/li>\r\n \t<li>\"Instance-Aware Semantic Segmentation via Multi-Task Network Cascades\" by\u00a0Jifeng Dai, Kaiming He, Jian Sun<\/li>\r\n \t<li>\"ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation\" by\u00a0Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun<\/li>\r\n<\/ul>"}],"msr_startdate":"2016-06-26","msr_enddate":"2016-07-01","msr_event_time":"","msr_location":"Las Vegas, NV, USA","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"June 26, 2016","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"CVPR took place at Caesar's Palace from June 26 - July 1, 2016, in Las Vegas, Nevada. CVPR is the premier annual computer vision event and included the main conference and several colocated workshops and short courses. With an international roster of speakers, exhibitors, and attendees, CVPR provides an exceptional opportunity for students, academics, and industry researchers to meet and share ideas and research results.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[394646],"related-opportunities":[],"related-publications":[238177],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/238889"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/238889\/revisions"}],"predecessor-version":[{"id":305258,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/238889\/revisions\/305258"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=238889"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=238889"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=238889"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=238889"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=238889"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=238889"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=238889"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=238889"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=238889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}