{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T21:03:09Z","timestamp":1762376589000},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>In this paper, we address the challenging unconstrained set-based face recognition problem where each subject face is instantiated by a set of media (images and videos) instead of a single image. Naively aggregating information from all the media within a set would suffer from the large intra-set variance caused by heterogeneous factors (e.g., varying media modalities, poses and illumination) and fail to learn discriminative face representations. A novel Multi-Prototype Network (MP- Net) model is thus proposed to learn multiple prototype face representations adaptively from the media sets. Each learned prototype is representative for the subject face under certain condition in terms of pose, illumination and media modality. Instead of handcrafting the set partition for prototype learn- ing, MPNet introduces a Dense SubGraph (DSG) learning sub-net that implicitly untangles inconsistent media and learns a number of representative prototypes. Qualitative and quantitative experiments clearly demonstrate the superiority of the proposed model over state-of-the-arts.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/611","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"4397-4403","source":"Crossref","is-referenced-by-count":37,"title":["Multi-Prototype Networks for Unconstrained Set-based Face Recognition"],"prefix":"10.24963","author":[{"given":"Jian","family":"Zhao","sequence":"first","affiliation":[{"name":"National University of Singapore"},{"name":"National University of Defense Technology"},{"name":"Tencent FiT DeepSea AI Lab"}]},{"given":"Jianshu","family":"Li","sequence":"additional","affiliation":[{"name":"National University of Singapore"}]},{"given":"Xiaoguang","family":"Tu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Fang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Inception Institute of Artificial Intelligence"}]},{"given":"Yuan","family":"Xin","sequence":"additional","affiliation":[{"name":"Tencent FiT DeepSea AI Lab"}]},{"given":"Junliang","family":"Xing","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences"}]},{"given":"Hengzhu","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology"}]},{"given":"Shuicheng","family":"Yan","sequence":"additional","affiliation":[{"name":"National University of Singapore"},{"name":"Qihoo 360 AI Institute"}]},{"given":"Jiashi","family":"Feng","sequence":"additional","affiliation":[{"name":"National University of Singapore"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:50:27Z","timestamp":1564300227000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/611"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/611","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}