{"id":284,"date":"2019-04-29T16:40:14","date_gmt":"2019-04-29T14:40:14","guid":{"rendered":"https:\/\/project.inria.fr\/usad\/?page_id=284"},"modified":"2019-07-12T17:35:47","modified_gmt":"2019-07-12T15:35:47","slug":"program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/usad\/ffss-usad-cvpr-2019\/program\/","title":{"rendered":"Program"},"content":{"rendered":"

The program of the FFSS-USAD workshop is shown below. Spatio-temporal coordinates: June 16th, 2019, 8:30AM. Room Hyatt Seaview C.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
08:30<\/td>\nWelcome Remarks<\/td>\n<\/tr>\n
08:40<\/td>\nInvited Talk, Marco Cristani (U. Verona):\u00a0Unveiling cognitive processes of preference on visual data<\/td>\n<\/tr>\n
09:20<\/td>\nInvited Talk, Rogerio Schnmid Feris (IBM): Is It All Relative? Interactive Fashion Search based on Relative Natural Language Feedback<\/td>\n<\/tr>\n
10:00<\/td>\nCofee break and poster session<\/td>\n<\/tr>\n
<\/td>\nLearning Personal Tastes in Choosing Fashion Outfits<\/em>, Yusan Lin, Maryam Moosaei and Hao Yang<\/td>\n<\/tr>\n
<\/td>\nFashionAI: A Hierarchical Dataset for Fashion Understanding<\/em>, Xingxing Zou, Xiangheng Kong, Waikeung Wong,Congde Wong,Yuguang Liu and Yang Cao<\/td>\n<\/tr>\n
<\/td>\n Ten-million-order Human Database for World-wide Fashion Culture Analysis<\/em>, Hirokatsu Kataoka, Kaori Abe, Munetaka Minoguchi, Akio Nakamura and Yutaka Satoh [Poster<\/a>]<\/td>\n<\/tr>\n
<\/td>\n Study on Fashion Image Retrieval Methods for Efficient Fashion Visual Search<\/em>, Sanghyuk Park, Minchul Shin, Sungho Ham, Seungkwon Choe and Yoohoon Kang<\/td>\n<\/tr>\n
<\/td>\n Modeling Image Composition for Visual Aesthetic Assessment<\/em>, Dong Liu, Rohit Puri, Nagendra Kamath and Subhabrata Bhattacharya<\/td>\n<\/tr>\n
<\/td>\n Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN<\/em>, Qing Ping, Bing Wu, Wanying Ding and Jiangbo Yuan<\/td>\n<\/tr>\n
<\/td>\n Powering Robust Fashion Retrieval with Information Rich Feature Embeddings<\/em>, Ayush Chopra, Abhishek Sinha, Mausoom Sarkar, Hiresh Gupta, Kumar Ayush and Balaji Krishnamurthy<\/td>\n<\/tr>\n
<\/td>\n SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images<\/em>, Nour Karessli, Romain Guigoures and Reza Shirvany\u00a0 [Poster<\/a>]<\/td>\n<\/tr>\n
<\/td>\n A detect-then-retrieve model for multi-domain fashion item retrieval<\/em>, Michal Kucer and Naila Murray<\/td>\n<\/tr>\n
10:45<\/td>\nOral Presentation 1, SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images<\/em>, Nour Karessli, Romain Guigoures and Reza Shirvany [Slides<\/a>]<\/td>\n<\/tr>\n
11:00<\/td>\nOral Presentation 2, Ten-million-order Human Database for World-wide Fashion Culture Analysis<\/em>, Hirokatsu Kataoka, Kaori Abe, Munetaka Minoguchi, Akio Nakamura and Yutaka Satoh [Slides<\/a>]<\/td>\n<\/tr>\n
11:15<\/td>\nOral Presentation 3, Powering Robust Fashion Retrieval with Information Rich Feature Embeddings<\/em>, Ayush Chopra, Abhishek Sinha, Mausoom Sarkar, Hiresh Gupta, Kumar Ayush and Balaji Krishnamurthy<\/td>\n<\/tr>\n
11:30<\/td>\nInvited Talk, Tamara Berg (UNC): Visual Intelligence for Personalized Retail.<\/td>\n<\/tr>\n
12:10<\/td>\nAwards and concluding remarks<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

The program of the FFSS-USAD workshop is shown below. Spatio-temporal coordinates: June 16th, 2019, 8:30AM. Room Hyatt Seaview C. 08:30 Welcome Remarks 08:40 Invited Talk, Marco Cristani (U. Verona):\u00a0Unveiling cognitive processes of preference on visual data 09:20 Invited Talk, Rogerio Schnmid Feris (IBM): Is It All Relative? Interactive Fashion Search\u2026<\/p>\n

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