{"id":4861,"date":"2020-04-03T22:58:39","date_gmt":"2020-04-03T22:58:39","guid":{"rendered":"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/?p=4861"},"modified":"2020-04-07T07:37:12","modified_gmt":"2020-04-07T07:37:12","slug":"four-papers-accepted-cvpr","status":"publish","type":"post","link":"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/four-papers-accepted-cvpr\/","title":{"rendered":"Four Papers accepted to CVPR 2020"},"content":{"rendered":"
    \n
  1. S.K. Mustikovela, V. Jampani, S. De Mello, S. Liu, U. Iqbal, C. Rother, J. Kautz \u201cSelf-Supervised Viewpoint Learning from Image Collections\u201d, CVPR 2020. [pdf<\/a>]<\/li>\n
  2. A. Bhowmik, S. Gumhold, C. Rother, E. Brachmann, \u201cReinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task\u201d, CVPR 2020 (oral). [pdf<\/a>]<\/li>\n
  3. F. Kluger, E. Brachmann, H. Ackermann, C .Rother, M.Y. Yang, B. Rosenhahn, \u201cCONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus\u201d, CVPR 2020. [pdf<\/a>] [project page<\/a>]<\/li>\n
  4. C. Kamann, C. Rother, \u201cBenchmarking the Robustness of Semantic Segmentation Models\u201d, CVPR 2020. [pdf<\/a>]<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    S.K. Mustikovela, V. Jampani, S. De Mello, S. Liu, U. Iqbal, C. Rother, J. Kautz \u201cSelf-Supervised Viewpoint Learning from Image Collections\u201d, CVPR 2020. [pdf] A. Bhowmik, S. Gumhold, C. Rother, E. Brachmann, \u201cReinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task\u201d, CVPR 2020 (oral). [pdf] F. Kluger, E. Brachmann, H. Ackermann, C […]<\/p>\n","protected":false},"author":6,"featured_media":4863,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[2],"tags":[],"class_list":{"0":"post-4861","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-news","9":"post-with-thumbnail","10":"post-with-thumbnail-large"},"yoast_head":"\nFour Papers accepted to CVPR 2020 - 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\/four-papers-accepted-cvpr\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Four Papers accepted to CVPR 2020 - Computer Vision and Learning Lab Heidelberg\" \/>\n<meta property=\"og:description\" content=\"S.K. Mustikovela, V. Jampani, S. De Mello, S. Liu, U. Iqbal, C. Rother, J. Kautz \u201cSelf-Supervised Viewpoint Learning from Image Collections\u201d, CVPR 2020. [pdf] A. Bhowmik, S. Gumhold, C. Rother, E. Brachmann, \u201cReinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task\u201d, CVPR 2020 (oral). [pdf] F. Kluger, E. Brachmann, H. 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