{"id":405,"date":"2024-03-20T11:39:40","date_gmt":"2024-03-20T02:39:40","guid":{"rendered":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/?page_id=405"},"modified":"2025-01-31T18:35:57","modified_gmt":"2025-01-31T09:35:57","slug":"2021-2","status":"publish","type":"page","link":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/?page_id=405","title":{"rendered":"Publications 2021"},"content":{"rendered":"\n<section class=\"background-zebra\">\n            <h2>Journals<\/h2>\n            <ul>\n                                    <li class=\"achievements-list-item\">\n                        Improving the Recognition Accuracy of a Sound Communication System Designed with a Neural Network\n                        (Kosei OZEKI, Naofumi AOKI, Saki ANAZAWA, Yoshinori DOBASHI, Kenichi IKEDA, Hiroshi YASUDA)\n                                                    - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2021, Volume E104.A, Issue 11, Pages 1577-1584\n                                                                            (2021\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Convolution Formulation of Cost Function in Cohen-Or Color Harmonization\n                        (Kento Mannen, Yoshinori Dobashi)\n                                                    - SN COMPUT. SCI. 3, 86 (2022). https:\/\/doi.org\/10.1007\/s42979-021-00969-y\n                                                                            (2021\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Stream-Guided Smoke Simulations\n                        (Syuhei Sato, Yoshinori Dobashi, Theodore Kim)\n                                                    - ACM Transactions on Graphics (Proceedings of SIGGRAPH 2021), Vol. 40 (4), Article No. 161\n                                                                            (2021\/8)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u5149\u6e90\u53ca\u3073\u6750\u8cea\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6700\u9069\u5316\u306b\u3088\u308b\u534a\u900f\u660e\u7269\u4f53\u306e\u8cea\u611f\u518d\u73fe\n                        (\u5de5\u85e4\u3000\u5bdb\u6a39 , \u571f\u6a4b\u3000\u5b9c\u5178  )\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c D   Vol.J104-D    No.10    pp.778-779\uff08\u30ec\u30bf\u30fc\uff09\n                                                                            (2021\/10)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u591a\u9762\u4f53\u7d50\u6676\u306e\u96c6\u5408\u4f53\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u3068\u305d\u306e\u8a55\u4fa1\u6307\u6a19\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u7530\u5bae\u3000\u8056\u4e4b , \u571f\u6a4b\u3000\u5b9c\u5178 )\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c D  Vol. J104-D  No. 10  pp. 776-777\uff08\u30ec\u30bf\u30fc\uff09\n                                                                            (2021\/10)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        3D\u30ad\u30e3\u30e9\u30af\u30bf\u306e\u30b9\u30b1\u30c3\u30c1\u30d9\u30fc\u30b9\u8868\u60c5\u751f\u6210\u624b\u6cd5\n                        (\u5927\u5834 \u8a89\u5e78, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u8a8c 2021 \u5e74 75 \u5dfb 3 \u53f7 p. 448-453\n                                                                            (2021\/5)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Synthesizing High-Resolution Clouds Using 2D and 3D Simulations\n                        (Ryosuke Kawazumi, Yoshinori Dobashi)\n                                                    - IIEEJ Transactions on Image Electronics and Visual Computing, Vol. 9, No. 2, pp. 50 - 57 (December)\n                                                                            (2021\/12)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Temporal and spatial anti-aliasing for rendering reflections on water waves\n                        (Namo Podee, Nelson Max, Kei Iwasaki, Yoshinori Dobashi)\n                                                    - Computational Visual Media volume 7, pages201\u2013215 (2021\/03)\n                                                                            (2021\/3)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n            <section class=\"background-zebra\">\n            <h2>Int'l Conferences<\/h2>\n            <ul>\n                                    <li class=\"achievements-list-item\">\n                        A study on physically based rendering of night sky using WebGL\n                        (Naoto Ishikawa, Yoshinori Dobashi)\n                                                    - IEVC2021\n                                                                            (2021\/9)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Synthesizing high-resolution clouds using 2D and 3D simulations\n                        (Ryosuke Kawazumi, Yoshinori Dobashi )\n                                                    - IEVC2021\n                                                                            (2021\/9)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        The Diffusseness of Illumination Suitable for Reproducing Object Surface Appearance Using Computer Graphics\n                        (S. Mizushima, H. Kudo, Y. Dobashi, Y. Mizokami)\n                                                    - Proceedings of the Conference CIE 2021\n                                                                            (2021\/12)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n            <section class=\"background-zebra\">\n            <h2>Domenstic Conferences<\/h2>\n            <ul>\n                                    <li class=\"achievements-list-item\">\n                        \u8ee2\u79fb\u5b66\u7fd2\u306b\u3088\u308a\u8a2d\u8a08\u3055\u308c\u305f\u8d85\u97f3\u6ce2\u4fe1\u53f7\u8b58\u5225\u5668\u306e\u8a55\u4fa1\n                        (\u5c3e\u95a2 \u525b\u6210, \u9752\u6728 \u76f4\u53f2, \u7a74\u6ca2 \u65e9\u7d00, \u571f\u6a4b \u5b9c\u5178, \u6c60\u7530 \u7814\u4e00, \u5b89\u7530 \u5bdb)\n                                                    - \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\n                                                                            (2021\/3)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u8d85\u97f3\u6ce2\u4fe1\u53f7\u5206\u985e\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\n                        (\u5c3e\u95a2\u525b\u6210, \u9752\u6728\u76f4\u53f2, \u571f\u6a4b\u5b9c\u5178, \u6c60\u7530\u7814\u4e00, \u5b89\u7530 \u5bdb)\n                                                    - \u4fe1\u5b66\u6280\u5831, vol. 121, no. 66, SP2021-21, pp. 97-100\n                                                                            (2021\/6)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        CNN\u3092\u7528\u3044\u305f\u8d85\u97f3\u6ce2\u4fe1\u53f7\u306e\u30a4\u30d9\u30f3\u30c8\u691c\u51fa\u306b\u95a2\u3059\u308b\u691c\u8a0e\n                        (\u5c3e\u95a2\u525b\u6210, \u9752\u6728\u76f4\u53f2, \u571f\u6a4b\u5b9c\u5178)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3\u958b\u50ac\n                                                                            (2021\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u4eba\u5de5\u5149\u6e90\u3092\u8003\u616e\u3057\u305f\u591c\u7a7a\u306e\u52b9\u7387\u7684\u306a\u63cf\u753b\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u77f3\u5ddd \u5c1a\u767b, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u7b2c183\u56deCGVI\u7814\u7a76\u4f1a\n                                                                            (2021\/8)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u97f3\u58f0\u5408\u6210\u306e\u305f\u3081\u306e\u65e5\u672c\u8a9e\u97f3\u7d20\u30d0\u30e9\u30f3\u30b9\u6587\u4f5c\u6210\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u9ad9\u4e95 \u4f51\u6d38, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\n                                                                            (2021\/3)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u97f3\u58f0\u5408\u6210\u306e\u305f\u3081\u306e\u65e5\u672c\u8a9e\u97f3\u7d20\u30d0\u30e9\u30f3\u30b9\u6587\u4f5c\u6210\n                        (\u9ad9\u4e95 \u4f51\u6d38, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u5fdc\u7528\u97f3\u58f0\u7814\u7a76\u4f1a\u8cc7\u6599\n                                                                            (2021\/6)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u97f3\u58f0\u5408\u6210\u306e\u305f\u3081\u306e\u65e5\u672c\u8a9e\u97f3\u7d20\u30d0\u30e9\u30f3\u30b9\u6587\u81ea\u52d5\u4f5c\u6210\u65b9\u6cd5\u306b\u95a2\u3059\u308b\u691c\u8a0e\n                        (\u9ad9\u4e95 \u4f51\u6d38, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a\n                                                                            (2021\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30ea\u30ba\u30e0\u30b2\u30fc\u30e0\u306e\u30b9\u30c6\u30fc\u30b8\u30c7\u30fc\u30bf\u306e\u81ea\u52d5\u751f\u6210\u306e\u691c\u8a3c\n                        (\u6709\u50cd \u7be4\u4eba, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u5fdc\u7528\u97f3\u58f0\u7814\u7a76\u4f1a\u8cc7\u6599, SP2021-10\n                                                                            (2021\/6)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n","protected":false},"excerpt":{"rendered":"<p>Journals Improving the Recognition Accuracy of a Sound Communication System Designed with a Neural Network (Ko [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":915,"menu_order":-2021,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-405","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/405","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=405"}],"version-history":[{"count":4,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/405\/revisions"}],"predecessor-version":[{"id":656,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/405\/revisions\/656"}],"up":[{"embeddable":true,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/915"}],"wp:attachment":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}