{"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":"2025-08-06T11:56:07","modified_gmt":"2025-08-06T18:56:07","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":"\n\n
Venue:<\/strong> COEX Convention Center (opens in new tab)<\/span><\/a> Website:<\/strong> ICCV 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n 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 (opens in new tab)<\/span><\/a> with Microsoft.<\/p>\n Marc Pollefeys (opens in new tab)<\/span><\/a>, General Chair Katsushi Ikeuchi (opens in new tab)<\/span><\/a>, Advisory Committee MemberOpens in a new tab<\/span><\/p>\n Comprehensive Video Understanding in the Wild (CoVieW2019) (opens in new tab)<\/span><\/a> Computer Vision for Wildlife Conservation (CVWC) (opens in new tab)<\/span><\/a> ICCV Workshop on e-Heritage 2019 (opens in new tab)<\/span><\/a> Intelligent Short-Video (opens in new tab)<\/span><\/a> Large Scale Holistic Video Understanding (opens in new tab)<\/span><\/a> Real-World Recognition from Low-Quality Images and Videos (RLQ) (opens in new tab)<\/span><\/a> Robust Subspace Learning and Applications in Computer Vision (opens in new tab)<\/span><\/a> Video Retrieval Methods and Their Limits (opens in new tab)<\/span><\/a> Computer Vision for Physiological Measurement (opens in new tab)<\/span><\/a> 3D Reconstruction in the Wild (3DRW2019) (opens in new tab)<\/span><\/a> Moving Cameras: From Body Cameras to Drones (opens in new tab)<\/span><\/a> Large-Scale Visual Place Recognition and Image-Based Localization (opens in new tab)<\/span><\/a> 10:30 \u2013 13:00 | Hall B | Poster #107 13:30 \u2013 13:35\u00a0| Hall D2 | Oral Presentation 15:30 \u2013 18:00 | Hall B | Poster #57 15:30 \u2013 18:00 | Hall B | Poster #140 15:30 \u2013 18:00 | Hall B | Poster #99 10:30 \u2013 13:00 | Hall B | Poster #73 10:30 \u2013 13:00 | Hall B | Poster #143 10:30 \u2013 13:00 | Hall B | Poster #55 10:30 \u2013 13:00 | Hall B | Poster #108 15:15 \u2013 15:30 | Hall D1 | Oral Presentation 15:30 \u2013 18:00 | Hall B | Poster #91 15:30 \u2013 18:00 | Hall B | Poster #163 15:30 \u2013 18:00 | Hall B | Poster #73 10:30 \u2013 13:00 | Hall B | Poster #76 10:30 \u2013 13:00 | Hall B | Poster #100 10:30 \u2013 13:00 | Hall B | Poster #67 13:53 \u2013 13:58 | Hall D2 | Oral Presentation 14:29 \u2013 14:34 | Hall D1 | Oral Presentation 15:30 \u2013 18:00 | Hall B | Poster #146 15:30 \u2013 18:00 | Hall B | Poster #116 15:30 \u2013 18:00 | Hall B | Poster #51 15:30 \u2013 18:00 | Hall B | Poster #117 Compact and Efficient Feature Representation and Learning in Computer Vision (opens in new tab)<\/span><\/a> Egocentric Perception, Interaction and Computing (opens in new tab)<\/span><\/a> 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,"msr_hide_image_in_river":0,"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":"\n\n Venue:<\/strong> COEX Convention Center (opens in new tab)<\/span><\/a> Website:<\/strong> ICCV 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n 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 (opens in new tab)<\/span><\/a> with Microsoft.<\/p>\n Marc Pollefeys (opens in new tab)<\/span><\/a>, General Chair Katsushi Ikeuchi (opens in new tab)<\/span><\/a>, Advisory Committee MemberOpens in a new tab<\/span><\/p>\n Comprehensive Video Understanding in the Wild (CoVieW2019)<\/a> Computer Vision for Wildlife Conservation (CVWC)<\/a> ICCV Workshop on e-Heritage 2019<\/a> Intelligent Short-Video<\/a> Large Scale Holistic Video Understanding<\/a> Real-World Recognition from Low-Quality Images and Videos (RLQ)<\/a> Robust Subspace Learning and Applications in Computer Vision<\/a> Video Retrieval Methods and Their Limits<\/a> Computer Vision for Physiological Measurement<\/a> 3D Reconstruction in the Wild (3DRW2019)<\/a> Moving Cameras: From Body Cameras to Drones<\/a> Large-Scale Visual Place Recognition and Image-Based Localization<\/a> 10:30 \u2013 13:00 | Hall B | Poster #107 13:30 \u2013 13:35\u00a0| Hall D2 | Oral Presentation 15:30 \u2013 18:00 | Hall B | Poster #57 15:30 \u2013 18:00 | Hall B | Poster #140 15:30 \u2013 18:00 | Hall B | Poster #99 10:30 \u2013 13:00 | Hall B | Poster #73 10:30 \u2013 13:00 | Hall B | Poster #143 10:30 \u2013 13:00 | Hall B | Poster #55 10:30 \u2013 13:00 | Hall B | Poster #108 15:15 \u2013 15:30 | Hall D1 | Oral Presentation 15:30 \u2013 18:00 | Hall B | Poster #91 15:30 \u2013 18:00 | Hall B | Poster #163 15:30 \u2013 18:00 | Hall B | Poster #73
\n513, Yeongdong-daero, Gangnam-gu<\/p>\nCommittee chairs<\/h3>\n
\nJifeng Dai (opens in new tab)<\/span><\/a>, Publicity Chair
\nFederica Bogo (opens in new tab)<\/span><\/a>, Doctoral Consortium Chair<\/p>\nProgram Committee members<\/h3>\n
Sunday, October 27 | Workshops<\/h3>\n
\nCo-organizer: Yale Song<\/a><\/p>\n
\nInvited Speaker: Jingdong Wang<\/a>
\nAdvisory Board member: Lucas Joppa<\/a>
\nProgram Committee member: Dan Morris<\/a><\/p>\n
\nGeneral Chair: Katsushi Ikeuchi (opens in new tab)<\/span><\/a><\/p>\n
\nProgram Committee member: Jingdong Wang<\/a><\/p>\n
\nProgram Committee member: Yale Song<\/a><\/p>\n
\nIndustrial Committee member: Wenjun Zeng<\/a><\/p>\n
\nInvited Speaker: David Wipf<\/a>
\nProgram Committee member: Prateek Jain<\/a><\/p>\nMonday, October 28 | Workshops<\/h3>\n
\nInvited Speaker: Lei Zhang<\/a><\/p>\n
\nProgram Co-chair: David Wipf<\/a><\/p>\n
\nInvited Speaker: Marc Pollefeys<\/a><\/p>\n
\nProgram Committee member: Hao Jiang (opens in new tab)<\/span><\/a><\/p>\nMonday, October 28 | Tutorials<\/h3>\n
\nInvited Speaker: Marc Pollefeys<\/a><\/p>\nTuesday, October 29<\/h3>\n
\nRevisiting Radial Distortion Absolute Pose<\/strong>
\nViktor Larsson, Torsten Sattler, Zuzana Kukelova, Marc Pollefeys<\/a><\/p>\n
\nPrivacy Preserving Image Queries for Camera Localization<\/strong>
\nPablo Speciale, Johannes L Sch\u00f6nberger<\/a>, Sudipta Sinha<\/a>, Marc Pollefeys<\/a><\/p>\n
\nBatch Weight for Domain Adaptation With Mass Shift<\/strong>
\nMikolaj Binkowski, Devon Hjelm<\/a>, Aaron Courville<\/p>\n
\nPolarimetric Relative Pose Estimation<\/strong>
\nZhaopeng Cui, Viktor Larsson, Marc Pollefeys<\/a><\/p>\n
\nOptimizing Network Structure for 3D Human Pose Estimation<\/strong>
\nHai Ci, Chunyu Wang<\/a>, Xiaoxuan Ma, Yizhou Wang<\/p>\nWednesday, October 30<\/h3>\n
\nDual Part-Aligned Representations for Person Re-Identification<\/strong>
\nJianyuan Guo, Yuhui Yuan (opens in new tab)<\/span><\/a>, Lang Huang, Kai Han, Jin-Ge Yao<\/strong>, Chao Zhang<\/p>\n
\nCross View Fusion for 3D Human Pose Estimation<\/strong>
\nHaibo Qiu, Chunyu Wang<\/a>, Jingdong Wang, Naiyan Wang, Wenjun Zeng<\/a><\/p>\n
\nLocal Relation Networks for Image Recognition<\/strong>
\nHan Hu<\/a>, Zheng Zhang, Zhenda Xie, Stephen Lin<\/strong><\/p>\n
\nSpatial-Temporal Relation Networks for Multi-Object Tracking<\/strong>
\nJiarui Xu, Yue Cao, Zheng Zhang, Han Hu<\/a><\/p>\nThursday, October 31<\/h3>\n
\nLearning Spatial Awareness to Improve Crowd Counting<\/strong>
\nZhi-Qi Cheng, Jun-Xiu Li<\/strong>, Qi Dai<\/a>, Xiao Wu, Alexander Hauptmann<\/p>\n
\nUnsupervised High-Resolution Depth Learning From Videos With Dual Networks<\/strong>
\nJunsheng Zhou, Yuwang Wang<\/a>, Kaihuai Qin, Wenjun Zeng<\/a><\/p>\n
\nUnpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck<\/strong>
\nShuang Ma, Daniel McDuff<\/a>, Yale Song<\/a><\/p>\n
\nAn Empirical Study of Spatial Attention Mechanisms in Deep Networks<\/strong>
\nXizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin<\/strong>,\u00a0Jifeng Dai<\/a><\/p>\nFriday, November 1<\/h3>\n
\nLearn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting<\/strong>
\nChenfeng Xu, Kai Qiu<\/strong>, Yongchao Xu, Song Bai, Jianlong Fu<\/a>, Xiang Bai<\/p>\n
\nMoving Indoor: Unsupervised Video Depth Learning in Challenging Environments<\/strong>
\nJunsheng Zhou, Yuwang Wang<\/a>, Kaihuai Qin, Wenjun Zeng<\/a><\/p>\n
\nWSOD2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection<\/strong>
\nZhaoyang Zeng, Bei Liu (opens in new tab)<\/span><\/a>, Jianlong Fu<\/a>, Hongyang Chao, Lei Zhang<\/a><\/p>\n
\nFace Video Deblurring using 3D Facial Priors<\/strong>
\nWenqi Ren, Jiaolong Yang<\/a>, Senyou Deng, David Wipf<\/a>, Xiaochun Cao, Xin Tong<\/a><\/p>\n
\n3D Instance Segmentation via Multi-Task Metric Learning<\/strong>
\nJean Lahoud, Bernard Ghanem, Martin R. Oswald, Marc Pollefeys<\/a><\/p>\n
\nRecursive Cascaded Networks for Unsupervised Medical Image Registration<\/strong>
\nShengyu Zhao, Yue Dong, Eric Chang<\/a>, Yan Xu<\/p>\n
\nGenerating and Modifying Images Based on Continual Linguistic Instruction<\/strong>
\nAlaaeldin M El-Nouby, Shikhar Sharma<\/a>, Hannes Schulz<\/a>, Devon Hjelm<\/a>, Layla El Asri (opens in new tab)<\/span><\/a>, Samira Ebrahimi Kahou, Yoshua Bengio, Graham Taylor<\/p>\n
\nRepPoints: Point Set Representation for Object Detection<\/strong>
\nZe Yang, Shaohui Liu, Han Hu<\/a>, Liwei Wang, Stephen Lin<\/strong><\/p>\n
\nRelation-Aware Graph Attention Network for Visual Question Answering<\/strong>
\nLinjie Li (opens in new tab)<\/span><\/a>, Zhe Gan (opens in new tab)<\/span><\/a>, Yu Cheng (opens in new tab)<\/span><\/a>, Jingjing Liu<\/a><\/p>\nSaturday, November 2 | Workshops<\/h3>\n
\nInvited Speaker: Katsushi Ikeuchi (opens in new tab)<\/span><\/a><\/p>\n
\nInvited Speaker: Marc Pollefeys<\/a>Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\n513, Yeongdong-daero, Gangnam-gu<\/p>\nCommittee chairs<\/h3>\n
\nJifeng Dai (opens in new tab)<\/span><\/a>, Publicity Chair
\nFederica Bogo (opens in new tab)<\/span><\/a>, Doctoral Consortium Chair<\/p>\nProgram Committee members<\/h3>\n
Sunday, October 27 | Workshops<\/h3>\n
\nCo-organizer: Yale Song<\/a><\/p>\n
\nInvited Speaker: Jingdong Wang<\/a>
\nAdvisory Board member: Lucas Joppa<\/a>
\nProgram Committee member: Dan Morris<\/a><\/p>\n
\nGeneral Chair: Katsushi Ikeuchi<\/a><\/p>\n
\nProgram Committee member: Jingdong Wang<\/a><\/p>\n
\nProgram Committee member: Yale Song<\/a><\/p>\n
\nIndustrial Committee member: Wenjun Zeng<\/a><\/p>\n
\nInvited Speaker: David Wipf<\/a>
\nProgram Committee member: Prateek Jain<\/a><\/p>\nMonday, October 28 | Workshops<\/h3>\n
\nInvited Speaker: Lei Zhang<\/a><\/p>\n
\nProgram Co-chair: David Wipf<\/a><\/p>\n
\nInvited Speaker: Marc Pollefeys<\/a><\/p>\n
\nProgram Committee member: Hao Jiang<\/a><\/p>\nMonday, October 28 | Tutorials<\/h3>\n
\nInvited Speaker: Marc Pollefeys<\/a><\/p>\nTuesday, October 29<\/h3>\n
\nRevisiting Radial Distortion Absolute Pose<\/strong>
\nViktor Larsson, Torsten Sattler, Zuzana Kukelova, Marc Pollefeys<\/a><\/p>\n
\nPrivacy Preserving Image Queries for Camera Localization<\/strong>
\nPablo Speciale, Johannes L Sch\u00f6nberger<\/a>, Sudipta Sinha<\/a>, Marc Pollefeys<\/a><\/p>\n
\nBatch Weight for Domain Adaptation With Mass Shift<\/strong>
\nMikolaj Binkowski, Devon Hjelm<\/a>, Aaron Courville<\/p>\n
\nPolarimetric Relative Pose Estimation<\/strong>
\nZhaopeng Cui, Viktor Larsson, Marc Pollefeys<\/a><\/p>\n
\nOptimizing Network Structure for 3D Human Pose Estimation<\/strong>
\nHai Ci, Chunyu Wang<\/a>, Xiaoxuan Ma, Yizhou Wang<\/p>\nWednesday, October 30<\/h3>\n
\nDual Part-Aligned Representations for Person Re-Identification<\/strong>
\nJianyuan Guo, Yuhui Yuan<\/a>, Lang Huang, Kai Han, Jin-Ge Yao<\/strong>, Chao Zhang<\/p>\n
\nCross View Fusion for 3D Human Pose Estimation<\/strong>
\nHaibo Qiu, Chunyu Wang<\/a>, Jingdong Wang, Naiyan Wang, Wenjun Zeng<\/a><\/p>\n
\nLocal Relation Networks for Image Recognition<\/strong>
\nHan Hu<\/a>, Zheng Zhang, Zhenda Xie, Stephen Lin<\/strong><\/p>\n
\nSpatial-Temporal Relation Networks for Multi-Object Tracking<\/strong>
\nJiarui Xu, Yue Cao, Zheng Zhang, Han Hu<\/a><\/p>\nThursday, October 31<\/h3>\n
\nLearning Spatial Awareness to Improve Crowd Counting<\/strong>
\nZhi-Qi Cheng, Jun-Xiu Li<\/strong>, Qi Dai<\/a>, Xiao Wu, Alexander Hauptmann<\/p>\n
\nUnsupervised High-Resolution Depth Learning From Videos With Dual Networks<\/strong>
\nJunsheng Zhou, Yuwang Wang<\/a>, Kaihuai Qin, Wenjun Zeng<\/a><\/p>\n
\nUnpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck<\/strong>
\nShuang Ma, Daniel McDuff<\/a>, Yale Song<\/a><\/p>\n
\nAn Empirical Study of Spatial Attention Mechanisms in Deep Networks<\/strong>
\nXizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin<\/strong>,\u00a0Jifeng Dai<\/a><\/p>\n