{"id":292031,"date":"2016-09-21T13:11:04","date_gmt":"2016-09-21T20:11:04","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=292031"},"modified":"2018-07-26T14:09:44","modified_gmt":"2018-07-26T21:09:44","slug":"research-microsoft-eccv-2016","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/research-microsoft-eccv-2016\/","title":{"rendered":"ECCV 2016 and Microsoft Research"},"content":{"rendered":"<p><strong>Main Conference: <\/strong>October 11\u201314<\/p>\n<p><strong>Workshops\/Short Courses:<\/strong> October 8\u201310 and 15\u201316<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft was a Platinum sponsor of the 14th European Conference on Computer Vision (ECCV) held in Amsterdam, the Netherlands on October 8-16, 2016. The ECCV is one of the top international conferences on computer vision research.<\/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":"2016-10-08","msr_enddate":"2016-10-16","msr_location":"Amsterdam, the Netherlands","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":[239178],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-292031","msr-event","type-msr-event","status-publish","hentry","msr-research-area-computer-vision","msr-region-europe","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"<strong>Main Conference: <\/strong>October 11\u201314\r\n\r\n<strong>Workshops\/Short Courses:<\/strong> October 8\u201310 and 15\u201316","tab-content":[{"id":0,"name":"","content":"Microsoft was a Platinum sponsor of the 14th European Conference on Computer Vision (ECCV) held in Amsterdam, the Netherlands on October 8-16, 2016. The <a href=\"http:\/\/www.eccv2016.org\/\" target=\"_blank\" rel=\"noopener\">ECCV<\/a> is one of the top international conferences on computer vision research.\r\n\r\nIn addition to the main plenary sessions, the conference included the following keynotes, workshops, demonstrations and exhibits by Microsoft employees.\r\n<h2>Keynotes<\/h2>\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/chw\/\" target=\"_blank\" rel=\"noopener\">Changhu Wang<\/a>,\u00a0Lead Researcher,\u00a0Microsoft Research Asia<\/li>\r\n<\/ul>\r\n<h2>Workshops<\/h2>\r\n<ul>\r\n \t<li><a href=\"https:\/\/cvavm2016.wordpress.com\/\" target=\"_blank\" rel=\"noopener\">Computer Vision for Audio-Visual Media<\/a>, by <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/zhang\/\" target=\"_blank\" rel=\"noopener\">Zhengyou Zhang<\/a>\u00a0et. al.<\/li>\r\n<\/ul>\r\n<h2>Accepted papers<\/h2>\r\n<ul>\r\n \t<li>\"Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method\" by\u00a0Je Hyeong Hong, University of Cambridge; Christopher Zach, Toshiba Research Europe; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/awf\/\" target=\"_blank\" rel=\"noopener\">Andrew Fitzgibbon<\/a>, Microsoft Research; Roberto Cipolla<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1607.06514\" target=\"_blank\" rel=\"noopener\">Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons<\/a>\" by\u00a0Lingxi Xie, UCLA; Qi Tian; John Flynn, UCLA; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingdw\/\" target=\"_blank\" rel=\"noopener\">Jingdong Wang<\/a>, Microsoft Research; Alan Yuille, UCLA<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1607.07032\" target=\"_blank\" rel=\"noopener\">Is Faster R-CNN Doing Well for Pedestrian Detection<\/a>?\" by Liliang Zhang, Sun Yat-sen University; Liang Lin, Sun Yat-sen University; Xiaodan Liang, Sun Yat-sen University; Kaiming He, Microsoft Research Asia<\/li>\r\n \t<li>\"Sparse Subspace Clustering\" by\u00a0Yingzhen Yang, UIUC; Jiashi Feng, NUS; Nebojsa Jojic, Microsoft Research; Jianchao Yang, Snapchat; Thomas Huang, UIUC<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1607.08221\" target=\"_blank\" rel=\"noopener\">MS-Celeb-1M: A Dataset and Benchmark for Large Scale Face Recognition<\/a>\" by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yag\/\" target=\"_blank\" rel=\"noopener\">Yandong Guo<\/a>, Microsoft Corporation; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/leizhang\/\" target=\"_blank\" rel=\"noopener\">Lei Zhang<\/a>, Microsoft Corporation; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yuxhu\/\" target=\"_blank\" rel=\"noopener\">Yuxiao Hu<\/a>, Microsoft Corporation; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/xiaohe\/\" target=\"_blank\" rel=\"noopener\">Xiaodong He<\/a>, Microsoft Corporation; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfgao\/\" target=\"_blank\" rel=\"noopener\">Jianfeng Gao<\/a>, Microsoft Corporation<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1603.05027\" target=\"_blank\" rel=\"noopener\">Identity Mappings in Deep Residual Networks<\/a>\" by\u00a0Kaiming He, Microsoft Research Asia; Xiangyu Zhang, Xi\u2019an Jiaotong University; Shaoqing Ren, University of Science &amp; Technology of China; Jian Sun, Microsoft Research China<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1607.05477\" target=\"_blank\" rel=\"noopener\">Supervised Transformer Network for Efficient Face Detection<\/a>\" by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/doch\/\" target=\"_blank\" rel=\"noopener\">Dong Chen<\/a>, Microsoft Research; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ganghua\/\" target=\"_blank\" rel=\"noopener\">Gang Hua<\/a>, Microsoft Research; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/fangwen\/\" target=\"_blank\" rel=\"noopener\">Fang Wen<\/a>, Microsoft Research; Jian Sun, Microsoft Research China<\/li>\r\n \t<li>\"Search-based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference\" by\u00a0Yan Zhang, HIT; Rongrong Ji, Xiamen University; Xiaopeng Fan; Yan Wang, Microsoft; Feng Guo, Xiamen University; Yue Gao; debin Zhao<\/li>\r\n \t<li>\"COCO Attributes: Attributes for People, Animals, and Objects\" by\u00a0Genevieve Patterson, Microsoft Research; James Hays, Georgia Institute of Technology<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1603.08678\" target=\"_blank\" rel=\"noopener\">Instance-sensitive Fully Convolutional Networks<\/a>\" by\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jifdai\/\" target=\"_blank\" rel=\"noopener\">Jifeng Dai<\/a>, Microsoft Research Asia; Kaiming He, Microsoft Research Asia; Yi Li, Tsinghua University; Shaoqing Ren, University of Science &amp; Technology of China; Jian Sun, Microsoft Research China<\/li>\r\n \t<li>\"MeshFlow: Minimum Latency Online Video Stabilization\" by\u00a0Shuaicheng Liu, UESTC; ping tan; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/luyuan\/\" target=\"_blank\" rel=\"noopener\">Lu Yuan<\/a>, Microsoft Research Asia; Jian Sun, Microsoft Research China; Bing Zeng, UESTC<\/li>\r\n \t<li>\"MARS: A Video Benchmark for Large-Scale Person Re-identification\" by\u00a0Liang Zheng, University of Texas at San Ant; Zhi Bie, Tsinghua University; Yifan Sun, Tsinghua University; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jingdw\/\" target=\"_blank\" rel=\"noopener\">Jingdong Wang<\/a>, Microsoft Research; Chi Su, Peking University; Shengjin Wang, Tsinghua University; Qi Tian<\/li>\r\n \t<li>\"Angry Crowds: Detecting Violent Events in Videos\" by\u00a0Seyed Sadegh Mohammadi, Istituto Italiano di Tecnologi; Alessandro Perina, Microsoft; Hamed Kiani; Vittorio Murino, Istituto Italiano di Tecnologia<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1604.05633\" target=\"_blank\" rel=\"noopener\">Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks<\/a>\" by\u00a0Yanghao Li, Peking University; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/culan\/\" target=\"_blank\" rel=\"noopener\">Cuiling Lan<\/a>, Microsoft Research; Junliang Xing, Chinese Academy of Sciences; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/wezeng\/\" target=\"_blank\" rel=\"noopener\">Wenjun Zeng<\/a>, Microsoft Research; Chunfeng Yuan; Jiaying Liu, Peking University<\/li>\r\n \t<li>\"A Deep Learning-based Approach to Progressive Vehicle Re-identification for Urban Surveillance\" by\u00a0Xinchen Liu, Beijing University of Posts and Telecommunication; Wu Liu, Beijing University of Posts and Telecommunication; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/tmei\/\" target=\"_blank\" rel=\"noopener\">Tao Mei<\/a>, Microsoft Research Asia; Huadong Ma, Beijing University of Posts and Telecommunication<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1603.06359\" target=\"_blank\" rel=\"noopener\">Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields<\/a>\" by\u00a0Seungryong Kim, Yonsei University; Kihong Park, Yonsei Univ.; Kwanghoon Sohn, Yonsei university; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stevelin\/\" target=\"_blank\" rel=\"noopener\">Stephen Lin<\/a>, Microsoft Research Asia, China<\/li>\r\n \t<li>\"<a href=\"http:\/\/arxiv.org\/abs\/1603.06327\" target=\"_blank\" rel=\"noopener\">Deep Self-Correlation Descriptor for Dense Cross-Modal Correspondence<\/a>\" by\u00a0Seungryong Kim, Yonsei University; Dongbo Min, Chungnam National University; <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/stevelin\/\" target=\"_blank\" rel=\"noopener\">Stephen Lin<\/a>, Microsoft Research Asia, China; Kwanghoon Sohn, Yonsei University<\/li>\r\n<\/ul>\r\n<h2>News<\/h2>\r\n<ul>\r\n \t<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/hololens-future-highlights-eccv\/\" target=\"_blank\" rel=\"noopener\">HoloLens future highlights wide ranging vision research at ECCV<\/a><\/li>\r\n<\/ul>"}],"msr_startdate":"2016-10-08","msr_enddate":"2016-10-16","msr_event_time":"","msr_location":"Amsterdam, the Netherlands","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"October 8, 2016","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"Microsoft was a Platinum sponsor of the 14th European Conference on Computer Vision (ECCV) held in Amsterdam, the Netherlands on October 8-16, 2016. The ECCV is one of the top international conferences on computer vision research.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[610176],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/292031"}],"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":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/292031\/revisions"}],"predecessor-version":[{"id":497786,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/292031\/revisions\/497786"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=292031"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=292031"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=292031"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=292031"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=292031"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=292031"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=292031"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=292031"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=292031"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}