{"id":2636,"date":"2016-04-13T15:47:14","date_gmt":"2016-04-13T15:47:14","guid":{"rendered":"http:\/\/cvlab-dresden.de\/?p=2636"},"modified":"2016-04-13T15:47:28","modified_gmt":"2016-04-13T15:47:28","slug":"2-papers-accepted-to-cvpr","status":"publish","type":"post","link":"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/2-papers-accepted-to-cvpr\/","title":{"rendered":"2 Papers accepted to CVPR 2016"},"content":{"rendered":"<p>Two papers accepted to CVPR 16: 1) a new method to localize the 6D Pose of an object; 2) a new way for multi-label segmentation, e.g. cells in an image, with the constraint that all connected foreground object should be convex.  <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Two papers accepted to CVPR 16: 1) a new method to localize the 6D Pose of an object; 2) a new way for multi-label segmentation, e.g. cells in an image, with the constraint that all connected foreground object should be convex.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-2636","post","type-post","status-publish","format-standard","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>2 Papers accepted to CVPR 2016 - Computer Vision and Learning Lab Heidelberg<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/2-papers-accepted-to-cvpr\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"2 Papers accepted to CVPR 2016 - Computer Vision and Learning Lab Heidelberg\" \/>\n<meta property=\"og:description\" content=\"Two papers accepted to CVPR 16: 1) a new method to localize the 6D Pose of an object; 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