{"id":1083,"date":"2025-04-14T11:32:48","date_gmt":"2025-04-14T02:32:48","guid":{"rendered":"https:\/\/kmlab.nagaokaut.ac.jp\/?p=1083"},"modified":"2025-04-25T11:34:28","modified_gmt":"2025-04-25T02:34:28","slug":"hgmamba-new-state-of-the-art-3d-pose-estimation-model-accepted-at-ijcnn-2025","status":"publish","type":"post","link":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/2025\/04\/14\/hgmamba-new-state-of-the-art-3d-pose-estimation-model-accepted-at-ijcnn-2025\/","title":{"rendered":"HGMamba: New State-of-the-Art 3D Pose Estimation Model Accepted at IJCNN 2025"},"content":{"rendered":"<h1 class=\"title mathjax\">HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network<\/h1>\n<p class=\"\" data-start=\"121\" data-end=\"297\"><strong data-start=\"121\" data-end=\"133\">Authors:<\/strong> HU CUI and Tessai Hayama<br data-start=\"158\" data-end=\"161\" \/><strong data-start=\"161\" data-end=\"176\">Conference:<\/strong> 2025 International Joint Conference on Neural Networks (IJCNN)<br data-start=\"239\" data-end=\"242\" \/>\ud83d\udcc4 <a class=\"\" href=\"https:\/\/arxiv.org\/abs\/2504.06638\" target=\"_new\" rel=\"noopener\" data-start=\"245\" data-end=\"297\">arXiv:2504.06638<\/a><\/p>\n<hr class=\"\" data-start=\"299\" data-end=\"302\" \/>\n<p class=\"\" data-start=\"304\" data-end=\"824\">The paper introduces <strong data-start=\"339\" data-end=\"350\">HGMamba<\/strong>, a novel network combining <strong data-start=\"378\" data-end=\"390\">HyperGCN<\/strong> and <strong data-start=\"395\" data-end=\"412\">Shuffle Mamba<\/strong> to enhance 3D human pose estimation from 2D pose data.<br data-start=\"467\" data-end=\"470\" \/>HyperGCN captures local joint dependencies via hypergraphs, while Shuffle Mamba scans global spatio-temporal patterns across all joints.<br data-start=\"606\" data-end=\"609\" \/>By fusing both, HGMamba models both local structure and global context effectively.<br data-start=\"692\" data-end=\"695\" \/>Tested on Human3.6M and MPI-INF-3DHP, HGMamba-B achieved state-of-the-art P1 errors: <strong data-start=\"780\" data-end=\"792\">38.65 mm<\/strong> and <strong data-start=\"797\" data-end=\"809\">14.33 mm<\/strong>, respectively.<\/p>\n<hr class=\"\" data-start=\"826\" data-end=\"829\" \/>\n<p class=\"\" data-start=\"831\" data-end=\"1101\">\u672c\u8ad6\u6587\u3067\u306f\u30012D\u59ff\u52e2\u30c7\u30fc\u30bf\u304b\u3089\u306e3D\u59ff\u52e2\u63a8\u5b9a\u3092\u9ad8\u7cbe\u5ea6\u5316\u3059\u308b\u65b0\u3057\u3044\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u300c<strong data-start=\"879\" data-end=\"890\">HGMamba<\/strong>\u300d\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002<br data-start=\"900\" data-end=\"903\" \/><strong data-start=\"903\" data-end=\"915\">HyperGCN<\/strong>\u306f\u95a2\u7bc0\u9593\u306e\u5c40\u6240\u69cb\u9020\u3092\u30cf\u30a4\u30d1\u30fc\u30b0\u30e9\u30d5\u3067\u6349\u3048\u3001<strong data-start=\"936\" data-end=\"953\">Shuffle Mamba<\/strong>\u306f\u5168\u95a2\u7bc0\u306b\u308f\u305f\u308b\u6642\u7a7a\u9593\u7684\u7279\u5fb4\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<br data-start=\"974\" data-end=\"977\" \/>\u4e21\u8005\u3092\u878d\u5408\u3059\u308b\u3053\u3068\u3067\u3001\u5c40\u6240\u3068\u30b0\u30ed\u30fc\u30d0\u30eb\u306e\u7279\u5fb4\u3092\u9ad8\u7cbe\u5ea6\u306b\u30e2\u30c7\u30ea\u30f3\u30b0\u3057\u307e\u3059\u3002<br data-start=\"1013\" data-end=\"1016\" \/>Human3.6M\u304a\u3088\u3073MPI-INF-3DHP\u3067\u8a55\u4fa1\u3057\u305f\u7d50\u679c\u3001<strong data-start=\"1048\" data-end=\"1061\">HGMamba-B<\/strong>\u306fP1\u30a8\u30e9\u30fc<strong data-start=\"1067\" data-end=\"1086\">38.65mm\uff0f14.33mm<\/strong>\u3068\u6700\u5148\u7aef\u306e\u7cbe\u5ea6\u3092\u9054\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network Authors: HU CUI and Tessai HayamaCon &hellip; <a href=\"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/2025\/04\/14\/hgmamba-new-state-of-the-art-3d-pose-estimation-model-accepted-at-ijcnn-2025\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">HGMamba: New State-of-the-Art 3D Pose Estimation Model Accepted at IJCNN 2025<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1083","post","type-post","status-publish","format-standard","hentry","category-1","without-featured-image"],"_links":{"self":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/posts\/1083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/comments?post=1083"}],"version-history":[{"count":1,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/posts\/1083\/revisions"}],"predecessor-version":[{"id":1084,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/posts\/1083\/revisions\/1084"}],"wp:attachment":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/media?parent=1083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/categories?post=1083"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/tags?post=1083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}