{"id":6184,"date":"2021-11-02T13:43:59","date_gmt":"2021-11-02T05:43:59","guid":{"rendered":"https:\/\/pairlabs.ai\/icmr-2021-gc-pair-competition-session\/"},"modified":"2021-11-02T13:47:50","modified_gmt":"2021-11-02T05:47:50","slug":"icmr-2021-gc-pair-competition-session","status":"publish","type":"post","link":"https:\/\/pairlabs.ai\/en\/icmr-2021-gc-pair-competition-session\/","title":{"rendered":"ICMR 2021 GC PAIR Competition Session"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><strong>Session Chair: Prof. Jiun-In Guo<\/strong><br \/>\n<\/span><span style=\"font-weight: 400;\">Institute of Electronics, National Yang Ming Chiao Tung University <\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Session Co-chair: Prof. Chia-Chi Tsai<\/strong><br \/>\n<\/span><span style=\"font-weight: 400;\">Department of Electrical Engineering, National Cheng-Kung University <\/span><\/p>\n<p>&nbsp;<\/p>\n<blockquote><p><strong>Session schedule:\u00a0<\/strong><\/p>\n<p><strong>Date: 2021\/11\/18 (Thursday)<\/strong><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Time: 11:00-11:08 UTC+8\u00a0\u00a0<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u2013 2021 GC PAIR Competition Opening\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Host: Prof. Jiun-In Guo<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Time: 11:08-11:21 UTC+8\u00a0\u00a0<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u2013 Title: Summary of the 2021 Embedded Deep Learning Object Detection\u00a0 Model Compression Competition for Traffic in Asian Countries\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Authors: Yu-Shu Ni<\/span><span style=\"font-weight: 400; color: #008080;\">1<\/span><span style=\"font-weight: 400;\">, Jiun-In Guo<\/span><span style=\"font-weight: 400; color: #008080;\">1,3<\/span><span style=\"font-weight: 400;\">, Chia-Chi Tsai<\/span><span style=\"font-weight: 400; color: #008080;\">2<\/span><span style=\"font-weight: 400;\">, Po-Chi Hu<\/span><span style=\"font-weight: 400; color: #008080;\">3<\/span><span style=\"font-weight: 400;\">, Ted T. Kuo<\/span><span style=\"font-weight: 400; color: #008080;\">4<\/span><span style=\"font-weight: 400;\">, Bo-Xun Wu<\/span><span style=\"font-weight: 400; color: #008080;\">1<\/span><span style=\"font-weight: 400;\">, Jenq-Neng Hwang<\/span><span style=\"font-weight: 400; color: #008080;\">5<\/span><span style=\"font-weight: 400;\">, Po-Yu Chen<\/span><span style=\"font-weight: 400; color: #008080;\">6<\/span><span style=\"font-weight: 400;\">, and Hsien-Kai Kuo<\/span><span style=\"font-weight: 400; color: #008080;\">6<\/span><\/p>\n<p style=\"padding-left: 30px;\"><span style=\"color: #008080;\"><i><span style=\"font-weight: 400;\">1.<\/span><\/i><i><span style=\"font-weight: 400;\">Institute of Electronics, National Yang Ming Chiao Tung University, Taiwan<\/span><\/i> <\/span><br \/>\n<span style=\"color: #008080;\"><i><span style=\"font-weight: 400;\">2.<\/span><\/i><i><span style=\"font-weight: 400;\">Department of Electrical Engineering, National Cheng-Kung University, Taiwan<br \/>\n<\/span><\/i><i><span style=\"font-weight: 400;\">3.<\/span><\/i><i><span style=\"font-weight: 400;\">Pervasive Artificial Intelligence Research Labs (PAIR Labs), Taiwan<\/span><\/i><i><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/i><i><span style=\"font-weight: 400;\">4.<\/span><\/i><i><span style=\"font-weight: 400;\">Institute of Intelligent Systems, College of AI, National Yang Ming Chiao Tung <\/span><\/i><i><span style=\"font-weight: 400;\">\u00a0<\/span><\/i><i><span style=\"font-weight: 400;\">University, Taiwan<\/span><\/i><i><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/i><i><span style=\"font-weight: 400;\">5.<\/span><\/i><i><span style=\"font-weight: 400;\">Department of Electrical &amp; Computer Engineering, University of Washington, <\/span><\/i><i><span style=\"font-weight: 400;\">\u00a0<\/span><\/i><i><span style=\"font-weight: 400;\">Seattle, WA, USA<\/span><\/i><i><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/i><i><span style=\"font-weight: 400;\">6.<\/span><\/i><i><span style=\"font-weight: 400;\">MediaTek Inc, Taiwan<\/span><\/i><i><span style=\"font-weight: 400;\">\u00a0<\/span><\/i><\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Speaker: Yu-Shu Ni\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Time: 11:21-11:34 UTC+8\u00a0<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u2013 Title: Embedded YOLO: Faster and Lighter Object Detection (Champion,\u00a0 Best Accuracy, Best Bicycle Detection)\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Authors: Wen-Kai Wu, Chien-Yu Chen, and Jiann-Shu Lee<br \/>\n<\/span><i><span style=\"font-weight: 400;\">Department of Computer Science and Information Engineering, National\u00a0 University of Tainan, Tainan, Taiwan\u00a0<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Speaker: Chien-Yu Chen<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Time: 11:34-11:47 UTC+8\u00a0<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u2013 Title: Bag of Tricks for Building an Accurate and Slim Object Detector for\u00a0 Embedded Applications (1<\/span><span style=\"font-weight: 400;\">st <\/span><span style=\"font-weight: 400;\">Runner-up)\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Authors: Yongkun Du<\/span><span style=\"font-weight: 400; color: #008080;\">1<\/span><span style=\"font-weight: 400;\">, Zhineng Chen<\/span><span style=\"font-weight: 400; color: #008080;\">2<\/span><span style=\"font-weight: 400;\">, Caiyan Jia<\/span><span style=\"font-weight: 400; color: #008080;\">1<\/span><span style=\"font-weight: 400;\">, Xuanya Li<\/span><span style=\"font-weight: 400; color: #008080;\">3<\/span><span style=\"font-weight: 400;\">, and Yu Gang Jiang<\/span><span style=\"font-weight: 400; color: #008080;\">2<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"color: #008080;\"><i><span style=\"font-weight: 400;\">1.<\/span><\/i><i><span style=\"font-weight: 400;\">School of Computer and Information Technology, Beijing Jiaotong University\u00a0 Beijing, China<br \/>\n<\/span><\/i><\/span><span style=\"color: #008080;\"><i><span style=\"font-weight: 400;\">2.<\/span><\/i><i><span style=\"font-weight: 400;\">School of Computer Science, Fudan University Shanghai, China<br \/>\n<\/span><\/i><\/span><span style=\"color: #008080;\"><i><span style=\"font-weight: 400;\">3.<\/span><\/i><i><span style=\"font-weight: 400;\">Baidu Inc. Beijing, China\u00a0<\/span><\/i><\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Speaker: <\/span><span style=\"font-weight: 400;\">Yongkun Du\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Time: 11:47-12:00 UTC+8\u00a0<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u2013 Title: Object Detection on Embedded Systems for Traffic in Asian\u00a0 Countries (2<\/span><span style=\"font-weight: 400;\">nd <\/span><span style=\"font-weight: 400;\">Runner-up)\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Authors: Bao-Hong Lai, and Hsun-Ping Hsieh<br \/>\n<\/span><i><span style=\"font-weight: 400;\">Institute of Computer and Communication Engineering National Cheng Kung <\/span><\/i><i><span style=\"font-weight: 400;\">\u00a0<\/span><\/i><i><span style=\"font-weight: 400;\">University Tainan, Taiwan<\/span><\/i><i><span style=\"font-weight: 400;\">\u00a0<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">\u2013 Speaker: Bao-Hong Lai<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Session Chair: Prof. Jiun-In Guo Institute of Electronics, National Yang Ming Chiao Tung University Session Co-chair: Prof. Chia-Chi Tsai Department of Electrical Engineering, National Cheng-Kung University &nbsp; Session schedule:\u00a0 Date: 2021\/11\/18 (Thursday) &nbsp; Time: 11:00-11:08 UTC+8\u00a0\u00a0 \u2013 2021 GC PAIR Competition Opening\u00a0 Host: Prof. Jiun-In Guo &nbsp; Time: 11:08-11:21 UTC+8\u00a0\u00a0 \u2013 Title: Summary of the [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":5816,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[126],"tags":[],"class_list":["post-6184","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category--en"],"_links":{"self":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/posts\/6184","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/comments?post=6184"}],"version-history":[{"count":2,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/posts\/6184\/revisions"}],"predecessor-version":[{"id":6188,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/posts\/6184\/revisions\/6188"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/media\/5816"}],"wp:attachment":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/media?parent=6184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/categories?post=6184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/tags?post=6184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}