{"id":610425,"date":"2019-09-24T12:10:08","date_gmt":"2019-09-24T19:10:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=610425"},"modified":"2021-10-01T06:29:08","modified_gmt":"2021-10-01T13:29:08","slug":"iccv-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/iccv-2019\/","title":{"rendered":"Microsoft at ICCV 2019"},"content":{"rendered":"

Venue:<\/strong> COEX Convention Center (opens in new tab)<\/span><\/a>
\n513, Yeongdong-daero, Gangnam-gu<\/p>\n

Website:<\/strong> ICCV 2019 (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Microsoft is a Platinum sponsor at the largest and projected to be the best attended international conference focused on computer vision. More than 8,000 students, academics, industry professionals, and researchers from across the world and from every aspect of computer vision will be attending ICCV 2019.<\/p>\n","protected":false},"featured_media":610440,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-10-27","msr_enddate":"2019-11-02","msr_location":"Seoul, Republic of Korea","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"http:\/\/iccv2019.thecvf.com\/attend\/registration","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13562],"msr-region":[197903],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-610425","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-computer-vision","msr-region-asia-pacific","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"Venue:<\/strong> COEX Convention Center<\/a>\r\n513, Yeongdong-daero, Gangnam-gu\r\n\r\nWebsite:<\/strong> ICCV 2019<\/a>","tab-content":[{"id":0,"name":"About","content":"Microsoft is a Platinum sponsor at the largest and projected to be the best-attended international conference focused on computer vision. More than 8,000 students, academics, industry professionals, and researchers from across the world and from every aspect of computer vision will be attending ICCV 2019. Stop by our booth to chat with our experts, see demos of our latest research and find out about career opportunities<\/a> with Microsoft.\r\n

Committee chairs<\/h3>\r\nMarc Pollefeys<\/a>, General Chair\r\nJifeng Dai<\/a>, Publicity Chair\r\nFederica Bogo<\/a>, Doctoral Consortium Chair\r\n

Program Committee members<\/h3>\r\nKatsushi Ikeuchi<\/a>, Advisory Committee Member"},{"id":1,"name":"Schedule","content":"

Sunday, October 27 | Workshops<\/h3>\r\nComprehensive Video Understanding in the Wild (CoVieW2019)<\/a>\r\nCo-organizer: Yale Song<\/a>\r\n\r\nComputer Vision for Wildlife Conservation (CVWC)<\/a>\r\nInvited Speaker: Jingdong Wang<\/a>\r\nAdvisory Board member: Lucas Joppa<\/a>\r\nProgram Committee member: Dan Morris<\/a>\r\n\r\nICCV Workshop on e-Heritage 2019<\/a>\r\nGeneral Chair: Katsushi Ikeuchi<\/a>\r\n\r\nIntelligent Short-Video<\/a>\r\nProgram Committee member: Jingdong Wang<\/a>\r\n\r\nLarge Scale Holistic Video Understanding<\/a>\r\nProgram Committee member: Yale Song<\/a>\r\n\r\nReal-World Recognition from Low-Quality Images and Videos (RLQ)<\/a>\r\nIndustrial Committee member: Wenjun Zeng<\/a>\r\n\r\nRobust Subspace Learning and Applications in Computer Vision<\/a>\r\nInvited Speaker: David Wipf<\/a>\r\nProgram Committee member: Prateek Jain<\/a>\r\n

Monday, October 28 | Workshops<\/h3>\r\nVideo Retrieval Methods and Their Limits<\/a>\r\nInvited Speaker: Lei Zhang<\/a>\r\n\r\nComputer Vision for Physiological Measurement<\/a>\r\nProgram Co-chair: David Wipf<\/a>\r\n\r\n3D Reconstruction in the Wild (3DRW2019)<\/a>\r\nInvited Speaker: Marc Pollefeys<\/a>\r\n\r\nMoving Cameras: From Body Cameras to Drones<\/a>\r\nProgram Committee member: Hao Jiang<\/a>\r\n

Monday, October 28 | Tutorials<\/h3>\r\nLarge-Scale Visual Place Recognition and Image-Based Localization<\/a>\r\nInvited Speaker: Marc Pollefeys<\/a>\r\n

Tuesday, October 29<\/h3>\r\n10:30 \u2013 13:00 | Hall B | Poster #107\r\nRevisiting Radial Distortion Absolute Pose<\/strong>\r\nViktor Larsson, Torsten Sattler, Zuzana Kukelova, Marc Pollefeys<\/a>\r\n\r\n13:30 \u2013 13:35\u00a0| Hall D2 | Oral Presentation\r\nPrivacy Preserving Image Queries for Camera Localization<\/strong>\r\nPablo Speciale, Johannes L Sch\u00f6nberger<\/a>, Sudipta Sinha<\/a>, Marc Pollefeys<\/a>\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #57\r\nBatch Weight for Domain Adaptation With Mass Shift<\/strong>\r\nMikolaj Binkowski, Devon Hjelm<\/a>, Aaron Courville\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #140\r\nPolarimetric Relative Pose Estimation<\/strong>\r\nZhaopeng Cui, Viktor Larsson, Marc Pollefeys<\/a>\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #99\r\nOptimizing Network Structure for 3D Human Pose Estimation<\/strong>\r\nHai Ci, Chunyu Wang<\/a>, Xiaoxuan Ma, Yizhou Wang\r\n

Wednesday, October 30<\/h3>\r\n10:30 \u2013 13:00 | Hall B | Poster #73\r\nDual Part-Aligned Representations for Person Re-Identification<\/strong>\r\nJianyuan Guo, Yuhui Yuan<\/a>, Lang Huang, Kai Han, Jin-Ge Yao<\/strong>, Chao Zhang\r\n\r\n10:30 \u2013 13:00 | Hall B | Poster #143\r\nCross View Fusion for 3D Human Pose Estimation<\/strong>\r\nHaibo Qiu, Chunyu Wang<\/a>, Jingdong Wang, Naiyan Wang, Wenjun Zeng<\/a>\r\n\r\n10:30 \u2013 13:00 | Hall B | Poster #55\r\nLocal Relation Networks for Image Recognition<\/strong>\r\nHan Hu<\/a>, Zheng Zhang, Zhenda Xie, Stephen Lin<\/strong>\r\n\r\n10:30 \u2013 13:00 | Hall B | Poster #108\r\nSpatial-Temporal Relation Networks for Multi-Object Tracking<\/strong>\r\nJiarui Xu, Yue Cao, Zheng Zhang, Han Hu<\/a>\r\n

Thursday, October 31<\/h3>\r\n15:15 \u2013 15:30 | Hall D1 | Oral Presentation\r\nLearning Spatial Awareness to Improve Crowd Counting<\/strong>\r\nZhi-Qi Cheng, Jun-Xiu Li<\/strong>, Qi Dai<\/a>, Xiao Wu, Alexander Hauptmann\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #91\r\nUnsupervised High-Resolution Depth Learning From Videos With Dual Networks<\/strong>\r\nJunsheng Zhou, Yuwang Wang<\/a>, Kaihuai Qin, Wenjun Zeng<\/a>\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #163\r\nUnpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck<\/strong>\r\nShuang Ma, Daniel McDuff<\/a>, Yale Song<\/a>\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #73\r\nAn Empirical Study of Spatial Attention Mechanisms in Deep Networks<\/strong>\r\nXizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin<\/strong>,\u00a0Jifeng Dai<\/a>\r\n

Friday, November 1<\/h3>\r\n10:30 \u2013 13:00 | Hall B | Poster #76\r\nLearn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting<\/strong>\r\nChenfeng Xu, Kai Qiu<\/strong>, Yongchao Xu, Song Bai, Jianlong Fu<\/a>, Xiang Bai\r\n\r\n10:30 \u2013 13:00 | Hall B | Poster #100\r\nMoving Indoor: Unsupervised Video Depth Learning in Challenging Environments<\/strong>\r\nJunsheng Zhou, Yuwang Wang<\/a>, Kaihuai Qin, Wenjun Zeng<\/a>\r\n\r\n10:30 \u2013 13:00 | Hall B | Poster #67\r\nWSOD2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection<\/strong>\r\nZhaoyang Zeng, Bei Liu<\/a>, Jianlong Fu<\/a>, Hongyang Chao, Lei Zhang<\/a>\r\n\r\n13:53 \u2013 13:58 | Hall D2 | Oral Presentation\r\nFace Video Deblurring using 3D Facial Priors<\/strong>\r\nWenqi Ren, Jiaolong Yang<\/a>, Senyou Deng, David Wipf<\/a>, Xiaochun Cao, Xin Tong<\/a>\r\n\r\n14:29 \u2013 14:34 | Hall D1 | Oral Presentation\r\n3D Instance Segmentation via Multi-Task Metric Learning<\/strong>\r\nJean Lahoud, Bernard Ghanem, Martin R. Oswald, Marc Pollefeys<\/a>\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #146\r\nRecursive Cascaded Networks for Unsupervised Medical Image Registration<\/strong>\r\nShengyu Zhao, Yue Dong, Eric Chang<\/a>, Yan Xu\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #116\r\nGenerating and Modifying Images Based on Continual Linguistic Instruction<\/strong>\r\nAlaaeldin M El-Nouby, Shikhar Sharma<\/a>, Hannes Schulz<\/a>, Devon Hjelm<\/a>, Layla El Asri<\/a>, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #51\r\nRepPoints: Point Set Representation for Object Detection<\/strong>\r\nZe Yang, Shaohui Liu, Han Hu<\/a>, Liwei Wang, Stephen Lin<\/strong>\r\n\r\n15:30 \u2013 18:00 | Hall B | Poster #117\r\nRelation-Aware Graph Attention Network for Visual Question Answering<\/strong>\r\nLinjie Li<\/a>, Zhe Gan<\/a>, Yu Cheng<\/a>, Jingjing Liu<\/a>\r\n

Saturday, November 2 | Workshops<\/h3>\r\nCompact and Efficient Feature Representation and Learning in Computer Vision<\/a>\r\nInvited Speaker: Katsushi Ikeuchi<\/a>\r\n\r\nEgocentric Perception, Interaction and Computing<\/a>\r\nInvited Speaker: Marc Pollefeys<\/a>"}],"msr_startdate":"2019-10-27","msr_enddate":"2019-11-02","msr_event_time":"","msr_location":"Seoul, Republic of Korea","msr_event_link":"http:\/\/iccv2019.thecvf.com\/attend\/registration","msr_event_recording_link":"","msr_startdate_formatted":"October 27, 2019","msr_register_text":"Watch now","msr_cta_link":"http:\/\/iccv2019.thecvf.com\/attend\/registration","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":"\"a","event_excerpt":"Microsoft is a Platinum sponsor at the largest and projected to be the best attended international conference focused on computer vision. More than 8,000 students, academics, industry professionals, and researchers from across the world and from every aspect of computer vision will be attending ICCV 2019.","msr_research_lab":[199560,602418],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[610503],"related-opportunities":[],"related-publications":[585919,616482],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/610425"}],"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":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/610425\/revisions"}],"predecessor-version":[{"id":610452,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/610425\/revisions\/610452"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/610440"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=610425"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=610425"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=610425"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=610425"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=610425"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=610425"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=610425"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=610425"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=610425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}