

{"id":134,"date":"2019-08-26T09:35:28","date_gmt":"2019-08-26T07:35:28","guid":{"rendered":"https:\/\/project.inria.fr\/whbu\/?page_id=134"},"modified":"2019-09-13T10:49:44","modified_gmt":"2019-09-13T08:49:44","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/whbu\/program\/","title":{"rendered":"Program"},"content":{"rendered":"<p>Here is the program for the HBU workshop @ ICCV 2019, to be held on October 27th.<\/p>\n<table style=\"width: 100%;\">\n<tbody>\n<tr>\n<th>Time<\/th>\n<th>Item<\/th>\n<\/tr>\n<tr>\n<td>8:30<\/td>\n<td>Welcome remarks<\/td>\n<\/tr>\n<tr>\n<td>8:40<\/td>\n<td><strong>Invited talk<\/strong>: Dr. Hao Li<\/td>\n<\/tr>\n<tr>\n<td>9:30<\/td>\n<td><strong>Oral #1<\/strong>: <em>Weakly-Supervised Completion Moment Detection using Temporal Attention<\/em>, Farnoosh Heidarivincheh, Majid Mirmehdi and Dima Damen.<\/td>\n<\/tr>\n<tr>\n<td>9:45<\/td>\n<td><strong>Oral #2<\/strong>: <em>Deepfake Video Detection through Optical Flow based CNN<\/em>, Irene Amerini, Leonardo Galteri, Roberto Caldelli and Alberto Del Bimbo.<\/td>\n<\/tr>\n<tr>\n<td>10:00<\/td>\n<td><strong>Oral #3<\/strong>: <em>Dance Dance Generation: Motion Transfer for Internet Videos<\/em>, Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui and Tamara Berg.<\/td>\n<\/tr>\n<tr>\n<td>10:15<\/td>\n<td><strong>Poster session &amp; coffee break<\/strong><\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Weakly-Supervised Completion Moment Detection using Temporal Attention<\/em>, Farnoosh Heidarivincheh, Majid Mirmehdi and Dima Damen.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Deepfake Video Detection through Optical Flow based CNN<\/em>, Irene Amerini, Leonardo Galteri, Roberto Caldelli and Alberto Del Bimbo.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Dance Dance Generation: Motion Transfer for Internet Videos<\/em>, Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui and Tamara Berg.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons<\/em>, Tharindu Fernando, Simon Denman, Sridha Sridharan and Clinton Fookes.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Uncertainty-Aware Anticipation of Activities<\/em>, Yazan Abu Farha and Juergen Gall.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Attributes Preserving Face De-Identification<\/em>, Bin Yan, Mingtao Pei and Zhengang Nie.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Measuring Crowd Collectiveness via Global Motion Correlation<\/em>, Ling Mei, Jianhuang Lai, Zeyu Chen and Xiaohua Xie.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Facial Pose Estimation by Deep Learning from Label Distributions<\/em>, Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li and Shiguo Lian.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition, Benjamin Szczapa<\/em>, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala and Estelle Massart.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Falls Prediction Based on Body Keypoints and Seq2Seq Architecture<\/em>, Minjie Hua, Yibing Nan and Shiguo Lian.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Voice Activity Detection by Upper Body Motion Analysis and Unsupervised Domain Adaptation<\/em>, Muhammad Shahid, Cigdem Beyan and Vittorio Murino.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Pose and Expression Robust Age Estimation via 3D Face Reconstruction from a Single Image<\/em>, Nedko Savov, Minh Ngo, Sezer Karaoglu, Hamdi Dibeklioglu and Theo Gevers.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for VirtualTry-On Framework<\/em>, Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy and Mayur Hemani.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>The Instantaneous Accuracy: a Novel Metric for the problem of Online Human Behaviour Recognition in Untrimmed Videos<\/em>, Marcos Baptista-Rios, Roberto J. L\u00f3pez-Sastre, Fabian Caba Heilbron, Jan van Gemert, Javier Acevedo-Rodr\u00edguez and Saturnino Maldonado-Basc\u00f3n.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>FakeTalkerDetect: Effective and Practical Realistic Neural Talking Head Detection with a Highly Unbalanced Dataset<\/em>, Simon Woo, Young Oh Bang and Hyeon Seong Jeon.<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><em>Temporal Accumulative Features for Sign Language Recognition<\/em>, Ahmet Alp Kindiroglu, Ogulcan Ozdemir and Lale Akarun.<\/td>\n<\/tr>\n<tr>\n<td>11:30<\/td>\n<td><strong>Invited Talk<\/strong>: Prof. Ming-Hsuan Yang<\/td>\n<\/tr>\n<tr>\n<td>12:20<\/td>\n<td><strong>Oral #4<\/strong>: <em>Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons<\/em>, Tharindu Fernando, Simon Denman, Sridha Sridharan and Clinton Fookes.<\/td>\n<\/tr>\n<tr>\n<td>12:35<\/td>\n<td><strong>Oral #5<\/strong>: <em>Uncertainty-Aware Anticipation of Activities<\/em>, Yazan Abu Farha and Juergen Gall.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Here is the program for the HBU workshop @ ICCV 2019, to be held on October 27th. Time Item 8:30 Welcome remarks 8:40 Invited talk: Dr. Hao Li 9:30 Oral #1: Weakly-Supervised Completion Moment Detection using Temporal Attention, Farnoosh Heidarivincheh, Majid Mirmehdi and Dima Damen. 9:45 Oral #2: Deepfake Video\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/whbu\/program\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1210,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-134","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/pages\/134","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/users\/1210"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/comments?post=134"}],"version-history":[{"count":6,"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/pages\/134\/revisions"}],"predecessor-version":[{"id":149,"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/pages\/134\/revisions\/149"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/whbu\/wp-json\/wp\/v2\/media?parent=134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}