{"id":2750,"date":"2022-08-03T01:51:48","date_gmt":"2022-08-03T08:51:48","guid":{"rendered":"https:\/\/www.icpr2022.com\/?page_id=2750"},"modified":"2022-08-08T06:37:24","modified_gmt":"2022-08-08T13:37:24","slug":"iapr-award-winners","status":"publish","type":"page","link":"https:\/\/www.icpr2022.com\/iapr-award-winners\/","title":{"rendered":"IAPR Award Winners"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2750\" class=\"elementor elementor-2750\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t\t\t\t<section data-kenburns=\"{&quot;fx&quot;:&quot;fade&quot;,&quot;speed&quot;:1500,&quot;fade&quot;:1900,&quot;slides&quot;:[{&quot;_id&quot;:&quot;bfcdc4c&quot;,&quot;premium_kenburns_images&quot;:{&quot;url&quot;:&quot;https:\\\/\\\/www.icpr2022.com\\\/wp-content\\\/uploads\\\/2021\\\/07\\\/paralaxBackground.png&quot;,&quot;id&quot;:29,&quot;size&quot;:&quot;&quot;,&quot;alt&quot;:&quot;&quot;,&quot;source&quot;:&quot;library&quot;},&quot;premium_kenburns_dir&quot;:&quot;tc&quot;,&quot;premium_kenburns_image_fit&quot;:&quot;pa-fill&quot;,&quot;premium_kenburns_zoom_dir&quot;:&quot;in&quot;}],&quot;infinite&quot;:&quot;&quot;}\" class=\"elementor-section elementor-top-section elementor-element elementor-element-4962740 premium-kenburns-yes elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4962740\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-42657d5\" data-id=\"42657d5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-5f76f69 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5f76f69\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-fa99eac elementor-invisible\" data-id=\"fa99eac\" data-element_type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f05198a elementor-widget elementor-widget-image\" data-id=\"f05198a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.16.0 - 17-10-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" width=\"214\" height=\"300\" src=\"https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/hrt-214x300.jpg\" class=\"attachment-medium size-medium wp-image-2707\" alt=\"\" srcset=\"https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/hrt-214x300.jpg 214w, https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/hrt-731x1024.jpg 731w, https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/hrt-768x1076.jpg 768w, https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/hrt.jpg 914w\" sizes=\"(max-width: 214px) 100vw, 214px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c784e19 elementor-widget elementor-widget-text-editor\" data-id=\"c784e19\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.16.0 - 17-10-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Prof. Tieniu<br \/>Tan<br \/><\/strong><em>Institute of Automation Chinese Academy of Sciences (CASIA), <\/em><em>China<\/em><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-468744e elementor-invisible\" data-id=\"468744e\" data-element_type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-86bb45a elementor-widget elementor-widget-heading\" data-id=\"86bb45a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.16.0 - 17-10-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h4 class=\"elementor-heading-title elementor-size-default\">Iris Recognition: Progress and Challenges<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6252c7c elementor-widget elementor-widget-heading\" data-id=\"6252c7c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">King-Sun Fu Prize Lecture<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b540533 elementor-widget elementor-widget-text-editor\" data-id=\"b540533\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Abstract: Iris recognition has proven to be a most reliable biometric solution for personal identification and has received much attention from the pattern recognition community. However, it is far from being a solved problem as many open issues remain to be resolved to make iris recognition more user-friendly and robust. In this talk, I will present an overview of our decades\u2019 efforts on iris recognition, including iris image acquisition, iris image pre-processing, iris feature extraction and security issues of iris recognition systems. I will discuss our most recent work on light-field iris recognition and all-in-focus simultaneous iris recognition of multiple people at a distance. Examples will be given to demonstrate the successful routine use of our work in a wide range of fields such as mobile payment, banking, access control, welfare distribution, etc. I will also address some of the remaining challenges as well as promising future research directions before closing the talk.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-742f624 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"742f624\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-91893ae elementor-invisible\" data-id=\"91893ae\" data-element_type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fed53e3 elementor-widget elementor-widget-image\" data-id=\"fed53e3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" width=\"150\" height=\"150\" src=\"https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/ge-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-image-2708\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e373c8 elementor-widget elementor-widget-text-editor\" data-id=\"2e373c8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Prof. Jiliang Tang<br><\/strong><em>MSU Foundation Professor, Data Science and Engineering Lab, Michigan State University, USA<\/em><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-7db3a55 elementor-invisible\" data-id=\"7db3a55\" data-element_type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c4560b elementor-widget elementor-widget-heading\" data-id=\"7c4560b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Graph Neural Networks: Models, Trustworthiness, and Applications  <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-46ad09b elementor-widget elementor-widget-heading\" data-id=\"46ad09b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">J. K. Aggarwal Prize Lecture<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae20033 elementor-widget elementor-widget-text-editor\" data-id=\"ae20033\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Abstract: Graph Neural Networks (GNNs) have shown their power in graph representation learning. They have advanced numerous recognition and learning tasks in many domains such as biology and healthcare. In this talk, I will first introduce a novel perspective to understand and unify existing GNNs that paves a principled and innovative way to design new GNN models. As GNNs become more pervasive, there is an ever-growing concern over how GNNs can be trusted. Then I will discuss how to build trustworthy GNNs. Given that graphs have been leveraged to denote data in real-world systems, I will finally demonstrate representative applications of GNNs.\u00a0\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-0d93c83 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0d93c83\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-31f2fbb elementor-invisible\" data-id=\"31f2fbb\" data-element_type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeInLeft&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4de54ee elementor-widget elementor-widget-image\" data-id=\"4de54ee\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" width=\"150\" height=\"150\" src=\"https:\/\/www.icpr2022.com\/wp-content\/uploads\/2022\/07\/geeg-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-image-2709\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0addd0e elementor-widget elementor-widget-text-editor\" data-id=\"0addd0e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Prof. Yunhong Wang<br \/><\/strong><em>School of Computer Science and Engineering, Beihang University, China<\/em><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-f1381b6 elementor-invisible\" data-id=\"f1381b6\" data-element_type=\"column\" data-settings=\"{&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0c63875 elementor-widget elementor-widget-heading\" data-id=\"0c63875\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Towards Practical Biometrics: Face and Gait<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-258bdbb elementor-widget elementor-widget-heading\" data-id=\"258bdbb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Maria Petrou Prize Lecture<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0e1715 elementor-widget elementor-widget-text-editor\" data-id=\"b0e1715\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Abstract: Biometrics are unique physical or behavioural characteristics that can be adopted for identification. In the last few years, substantial advancements have been made in this field with the development of deep learning theories and technologies. This is evidenced by not only the high results on large-scale benchmarks but also the attempts accounting for soft-biometrics, including gender, expression, age, etc. Meanwhile, recent studies show additional challenges in uncontrolled conditions, such as severe variations in scale, pose, illumination, occlusion and cluttered background, which should be well handled for real-world applications. This talk focuses on two typical representatives, face recogniiton and gait recognition, with dedicatedly designed deep learning based methodologies towards practical use, covering the tasks from identity recognition to attribute analysis, presenting the latest progress on the interpretability and robustness of deep neural networks. Finally, some perspectives are discussed to facilitate future research.\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Prof. TieniuTanInstitute of Automation Chinese Academy of Sciences (CASIA), China Iris Recognition: Progress and Challenges King-Sun Fu Prize Lecture Abstract: Iris recognition has proven to be a most reliable biometric solution for personal identification and has received much attention from the pattern recognition community. However, it is far from being a solved problem as many &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.icpr2022.com\/iapr-award-winners\/\"> <span class=\"screen-reader-text\">IAPR Award Winners<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"right-sidebar","site-content-layout":"plain-container","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/pages\/2750"}],"collection":[{"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/comments?post=2750"}],"version-history":[{"count":13,"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/pages\/2750\/revisions"}],"predecessor-version":[{"id":2802,"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/pages\/2750\/revisions\/2802"}],"wp:attachment":[{"href":"https:\/\/www.icpr2022.com\/wp-json\/wp\/v2\/media?parent=2750"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}