{"id":414,"date":"2024-03-20T11:45:20","date_gmt":"2024-03-20T02:45:20","guid":{"rendered":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/?page_id=414"},"modified":"2025-01-31T18:36:10","modified_gmt":"2025-01-31T09:36:10","slug":"2019-2","status":"publish","type":"page","link":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/?page_id=414","title":{"rendered":"Publications 2019"},"content":{"rendered":"\n<section class=\"background-zebra\">\n            <h2>Journals<\/h2>\n            <ul>\n                                    <li class=\"achievements-list-item\">\n                        Some Evaluations on a Digital Watermarking Technique for Music Data Using Distortion Effect\n                        (Yuto MATSUNAGA, Tetsuya KOJIMA, Naofumi AOKI, Yoshinori DOBASHI, Tsuyoshi YAMAMOTO)\n                                                    - IEICE TRANSACTIONS on Information and Systems Vol.E102-D, No.6, pp.1119-1125\n                                                                            (2019\/6)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Image-based translucency transfer through correlation analysis over multi-scale spatial color distribution\n                        (Hideki Todo, Tatsuya Yatagawa, Masataka Sawayama, Yoshinori Dobashi, Masanori Kakimoto)\n                                                    - The Visual Computer volume 35, pages811\u2013822 (2019\/05)\n                                                                            (2019\/5)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Inverse appearance modeling of interwoven cloth\n                        (Yoshinori Dobashi, Kei Iwasaki, Makoto Okabe, Takashi Ijiri, Hideki Todo)\n                                                    - The Visual Computer volume 35, pages175\u2013190 (2019)\n                                                                            (2019\/12)\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                        Evaluation of Machine-Made Scores for Music Games Generated by a Deep Neural Network\n                        (Atsuhito Udo, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto)\n                                                    - IEEE The 1st International Conference on Artificial Intelligence in Information and Communication 2019 (ICAIIC2019), pp. 128-131\n                                                                            (2019\/2)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Circular Gaussian anti-aliasing for rendering reflection on water surface (Poster)\n                        (Namo Podee, Nelson Max, Kei Iwasaki, Yoshinori Dobashi)\n                                                    - Visual Computing 2019\n                                                                            (2019\/6)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Temporal and spatial anti-aliasing for rendering reflection on a water surface\n                        (Namo Podee, Nelson Max, Kei Iwasaki, Yoshinori Dobashi)\n                                                    - Proceeding SIGGRAPH &#039;19 ACM SIGGRAPH 2019 Posters Article No. 50\n                                                                            (2019\/7)\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                        Deep Neural Network\u3092\u7528\u3044\u305f\u6b6a\u307f\u30a8\u30d5\u30a7\u30af\u30bf\u306e\u30c7\u30b8\u30bf\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u677e\u6c38 \u60a0\u6597, \u9752\u6728 \u76f4\u53f2, \u5c0f\u5d8b \u5fb9\u4e5f, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a\n                                                                            (2019\/3)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30ea\u30ba\u30e0\u30b2\u30fc\u30e0\u306e\u8b5c\u9762\u30c7\u30fc\u30bf\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u81ea\u52d5\u751f\u6210\u624b\u6cd5\u306e\u8a55\u4fa1\n                        (\u6709\u50cd \u7be4\u4eba, \u9752\u6728 \u76f4\u53f2, \u571f\u6a4b \u5b9c\u5178, \u5c71\u672c \u5f37)\n                                                    - \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a, \u96fb\u6c17\u901a\u4fe1\u5927\u5b66 (\u8abf\u5e03\u5e02)\n                                                                            (2019\/3)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u697d\u66f2\u306e\u8981\u7d04\u904e\u7a0b\u306b\u304a\u3051\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u624b\u6cd5\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e\n                        (\u83ca\u6c60\u3000\u96c4\u5927, \u9752\u6728\u3000\u76f4\u53f2, \u571f\u6a4b\u3000\u5b9c\u5178, \u5c71\u672c\u3000\u5f37)\n                                                    - \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a[\u53e3\u982d\u767a\u8868]\n                                                                            (2019\/3)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Anti-aliasing for rendering reflection on water surface\n                        (Namo Podee, Nelson Max, Kei Iwasaki, Yoshinori Dobashi)\n                                                    - \u7b2c174\u56deCGVI\u7814\u7a76\u767a\u8868\u4f1a\n                                                                            (2019\/6)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30ea\u30ba\u30e0\u30b2\u30fc\u30e0\u306e\u8b5c\u9762\u30c7\u30fc\u30bf\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u81ea\u52d5\u751f\u6210\n                        (\u6709\u50cd \u7be4\u4eba, \u571f\u6a4b \u5b9c\u5178, \u9752\u6728 \u76f4\u53f2)\n                                                    - \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\u5fdc\u7528\u97f3\u97ff\u7814\u7a76\u4f1a\u8cc7\u6599, EA2019-2 pp.5-8\n                                                                            (2019\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u6b6a\u307f\u30a8\u30d5\u30a7\u30af\u30bf\u306e\u30d6\u30e9\u30c3\u30af\u30dc\u30c3\u30af\u30b9\u30e2\u30c7\u30ea\u30f3\u30b0\n                        (\u677e\u6c38\u60a0\u6597, \u9752\u6728\u76f4\u53f2, \u571f\u6a4b\u5b9c\u5178, \u5c0f\u5d8b\u5fb9\u4e5f)\n                                                    - \u4fe1\u5b66\u6280\u5831, vol. 119, no. 115, EA2019-3, pp. 9-14, 2019\u5e747\u6708.\n                                                                            (2019\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u6b6a\u307f\u30a8\u30d5\u30a7\u30af\u30bf\u306e\u6a5f\u68b0\u5b66\u7fd2\u3068\u5b66\u7fd2\u306e\u30c7\u30fc\u30bf\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf\n                        (\u677e\u6c38\u60a0\u6597, \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                                                                            (2019\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u661f\u666f\u5199\u771f\u306b\u304a\u3051\u308b\u5929\u7a7a\u306e\u64ae\u5f71\u9818\u57df\u306e\u63a8\u5b9a\n                        (\u77f3\u5ddd \u5c1a\u767b, \u571f\u6a4b \u5b9c\u5178)\n                                                    - \u4ee4\u548c\u5143\u5e74\u5ea6 \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a\n                                                                            (2019\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u975e\u53ef\u8074\u57df\u306b\u304a\u3051\u308b\u97f3\u901a\u4fe1\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf\n                        (\u5c3e\u95a2 \u525b\u6210, \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\u97ff\u7814\u7a76\u4f1a\u8cc7\u6599, EA2019-1\n                                                                            (2019\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u97f3\u901a\u4fe1\u306e\u8b58\u5225\u7387\u5411\u4e0a\u306b\u95a2\u3059\u308b\u4e00\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, \u5ba4\u862d\u5de5\u696d\u5927\u5b66\n                                                                            (2019\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Web\u4e0a\u306b\u6295\u7a3f\u3055\u308c\u305f\u52d5\u753b\u3068\u5b57\u5e55\u30c7\u30fc\u30bf\u306b\u3088\u308b\u97f3\u58f0\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u69cb\u7bc9\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\u97ff\u7814\u7a76\u4f1a\u8cc7\u6599\n                                                                            (2019\/7)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        Web\u4e0a\u306b\u6295\u7a3f\u3055\u308c\u305f\u52d5\u753b\u3068\u5b57\u5e55\u30c7\u30fc\u30bf\u306b\u3088\u308b\u97f3\u58f0\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u69cb\u7bc9\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                                                                            (2019\/11)\n                                            <\/li>\n                                    <li class=\"achievements-list-item\">\n                        \u30c6\u30fc\u30e9\u30fc\u30e1\u30a4\u30c9\u97f3\u58f0\u5408\u6210\u306e\u305f\u3081\u306e\u97f3\u58f0\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u69cb\u7bc9\u306e\u4e00\u691c\u8a0e\n                        (\u9752\u6728 \u76f4\u53f2, \u7a74\u6ca2 \u65e9\u7d00, \u9ad9\u4e95 \u4f51\u6d38, \u9808\u85e4 \u5065\u6b21)\n                                                    - \u96fb\u6c17\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u9023\u5408\u5927\u4f1a\n                                                                            (2019\/11)\n                                            <\/li>\n                            <\/ul>\n        <\/section>\n","protected":false},"excerpt":{"rendered":"<p>Journals Some Evaluations on a Digital Watermarking Technique for Music Data Using Distortion Effect (Yuto MAT [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":915,"menu_order":-2019,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-414","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/414","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=414"}],"version-history":[{"count":3,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/414\/revisions"}],"predecessor-version":[{"id":658,"href":"https:\/\/www.ist.hokudai.ac.jp\/labo\/ime\/index.php?rest_route=\/wp\/v2\/pages\/414\/revisions\/658"}],"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=414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}