{"id":1267,"date":"2025-11-28T11:34:28","date_gmt":"2025-11-28T11:34:28","guid":{"rendered":"https:\/\/www.gdsig.cn\/?gdsig=409"},"modified":"2025-11-28T11:34:28","modified_gmt":"2025-11-28T11:34:28","slug":"post-409","status":"publish","type":"post","link":"https:\/\/test.gdsig.cn\/index.php\/2025\/11\/28\/post-409\/","title":{"rendered":"\u3010\u7b2c\u5341\u4e94\u5c4a\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae\u3011\u4f1a\u8bae\u8bae\u7a0b\u5b89\u6392\uff01"},"content":{"rendered":"

<\/p>\n

\n
\n
\"\u56fe\u7247\"\/<\/section>\n<\/section>\n

<\/span><\/p>\n

\u7b2c\u5341\u4e94\u5c4a\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae<\/span><\/span><\/strong>\u5c06\u4e8e<\/span>202<\/span><\/span><\/strong>5<\/span><\/span><\/strong>\u5e74<\/span><\/span><\/strong>12<\/span><\/span><\/strong>\u6708<\/span><\/span><\/strong>13<\/span><\/span><\/strong>\u65e5<\/span>–<\/span><\/span><\/strong>14<\/span><\/span><\/strong>\u65e5<\/span><\/span><\/strong>\u5728<\/span>\u534e\u5357\u7406\u5de5\u5927\u5b66\u5927\u5b66\u57ce\u6821\u533a<\/span><\/span><\/strong>\u4e3e\u529e\u3002\u672c\u5c4a\u4f1a\u8bae\u7531\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a\u4e3b\u529e\uff0c<\/span>\u534e\u5357\u7406\u5de5\u5927\u5b66\u8f6f\u4ef6\u5b66\u9662\u3001\u534e\u5357\u7406\u5de5\u5927\u5b66\u7535\u5b50\u4e0e\u4fe1\u606f\u5b66\u9662<\/span>\u3001<\/span>CSIG\u5e7f\u5dde\u4f1a\u5458\u6d3b\u52a8\u4e2d\u5fc3<\/span>\u627f\u529e\uff0c<\/span>\u7436\u6d32\u5b9e\u9a8c\u5ba4\u3001CSIG<\/span>\u751f\u7269\u7279\u5f81\u8bc6\u522b\u4e13\u4e1a\u59d4\u5458\u4f1a\uff08\u7b79\uff09\u534f\u529e\u3002<\/span><\/span><\/span><\/p>\n

\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae<\/span><\/span><\/strong>\uff08<\/span>Guangdong-Hong Kong-Macao Conference on Image and Graphics, GHMIG\uff09<\/span>\u662f\u7531\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a\u4e3b\u529e\uff0c\u7ca4\u6e2f\u6fb3\u4e09\u5730\u56fe<\/span><\/span>\u8c61<\/span>\u56fe\u5f62\u5b66\u754c\u5171\u540c\u534f\u529e\u7684\u7cfb\u5217\u5b66\u672f\u76db\u4f1a\uff0c\u81f4\u529b\u4e8e\u63a8\u52a8\u7ca4\u6e2f\u6fb3\u5927\u6e7e\u533a\u5728\u56fe<\/span>\u8c61<\/span>\u56fe\u5f62\u9886\u57df\u7684\u5b66\u79d1\u53d1\u5c55\u3001\u6280\u672f\u4ea4\u6d41\u4e0e\u534f\u540c\u521b\u65b0\u3002\u4f1a\u8bae\u6c47\u805a\u5168\u56fd\u9ad8\u6821\u3001\u79d1\u7814\u9662\u6240\u53ca\u4ea7\u4e1a\u754c\u7684\u4e13\u5bb6\u5b66\u8005\u4e0e\u9752\u5e74\u5b66\u751f\uff0c\u805a\u7126\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u3001\u591a\u5a92\u4f53\u6280\u672f\u3001\u673a\u5668\u5b66\u4e60\u7b49\u524d\u6cbf\u65b9\u5411\uff0c\u5f00\u5c55\u6df1\u5165\u7684\u5b66\u672f\u7814\u8ba8\u4e0e\u6280\u672f\u5bf9\u8bdd\u3002\u901a\u8fc7\u7279\u9080\u62a5\u544a\u3001\u6280\u672f\u4ea4\u6d41\u4e0e\u6d77\u62a5\u5c55\u793a\u7b49\u591a\u79cd\u5f62\u5f0f\uff0c\u642d\u5efa\u5b66\u672f\u754c\u4e0e\u4ea7\u4e1a\u754c\u4e4b\u95f4\u77e5\u8bc6\u5171\u4eab\u3001\u6210\u679c\u8f6c\u5316\u4e0e\u534f\u540c\u521b\u65b0\u7684\u91cd\u8981\u5e73\u53f0\uff0c\u6301\u7eed\u52a9\u529b\u7ca4\u6e2f\u6fb3\u5927\u6e7e\u533a\u56fe<\/span>\u8c61<\/span><\/span>\u56fe\u5f62\u79d1\u6280\u521b\u65b0\u751f\u6001\u7684\u5efa\u8bbe\u4e0e\u53d1\u5c55\u3002<\/span><\/span><\/span><\/p>\n

\u4f1a\u8bae\u9080\u8bf7\u5230\u591a\u4f4d\u77e5\u540d\u4e13\u5bb6\u505a\u5927\u4f1a\u4e3b\u65e8\u62a5\u544a\uff0c\u671f\u5f85\u4e0e\u60a8\u5171\u4eab\u56fe\u8c61\u56fe\u5f62\u8bc6\u522b\u4e0e\u8ba1\u7b97\u673a\u89c6\u89c9\u5b66\u672f\u76db\u5bb4<\/span>\uff08\u4f1a\u8bae\u540c\u65f6\u4e3e\u529e\u5e74\u5ea6\u56fe\u8c61\u56fe\u5f62\u4f18\u79c0\u8bba\u6587\u5206\u4eab\u62a5\u544a\u4f1a\uff09<\/span>\u3002\u4f1a\u8bae\u671f\u95f4<\/span>\u5c06\u53ec\u5f00\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a<\/span>2025\u7406\u4e8b\u5de5\u4f5c\u4f1a\u8bae<\/span><\/span>\u3002<\/span><\/span><\/span><\/p>\n

\u4f1a\u8bae\u5b98\u65b9\u7f51\u5740<\/span>\uff1a<\/span>https:\/\/conf.gdsig.cn\/<\/span><\/span><\/p>\n

\u4f1a\u8bae\u65f6\u95f4<\/span>\uff1a<\/span>2025<\/span>\u5e74<\/span>12<\/span>\u6708<\/span>13<\/span>\u65e5-<\/span>14<\/span>\u65e5<\/span><\/span><\/p>\n

\u4f1a\u8bae\u5730\u70b9<\/span>\uff1a<\/span>\u5e7f\u4e1c\u7701\u5e7f\u5dde\u5e02\u534e\u5357\u7406\u5de5\u5927\u5b66\uff08\u5927\u5b66\u57ce\u6821\u533a\uff09B13\u4f1a\u8bae\u5385<\/span><\/span><\/span><\/p>\n


<\/span><\/p>\n


<\/span><\/p>\n

\n
\n
\n
\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\u9884\u544a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
<\/svg>
<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

<\/p>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a\u5434\u56fd\u5b9d<\/strong><\/p>\n

\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u6559\u6388<\/span><\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n
\u00a0<\/span><\/p>\n

\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>Blind Deconvolution for Color Images Using Normalized Quaternion Kernels<\/span>\u00a0 \u00a0<\/span><\/p>\n


<\/span><\/p>\n

\n
\n
\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1aAbstract: In this talk, we discuss color image processing by using quaternion algebras. In particular, we study blind deconvolution for color images. Experimental results are presented to demonstrate the effectiveness of quaternion models.<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/span><\/p>\n

\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>Department of Mathematics, Hong Kong Baptist University, Hong Kong, China<\/span><\/p>\n

Michael K. Ng (Senior Member, IEEE) received the BSc and MPhil degrees from the University of Hong Kong in 1990 and 1992, respectively, and the PhD degree from the Chinese University of Hong Kong in 1995. He was a research fellow of Computer Sciences Laboratory with Australian National University from 1995 to 1997, and an assistant\/associate professor of the University of Hong Kong from 1997 to 2005. He was a professor\/chair professor with the Department of Mathematics, Hong Kong Baptist University from 2006 to 2019. He was a chair professor with Research Division of Mathematical and Statistical Science, The University of Hong Kong from 2019 to 2023. He is currently a chair professor in Mathematics and a chair professor in Data Science with Hong Kong Baptist University. His research interests include bioinformatics, image processing, scientific computing, and data mining. He is selected for the 2017 Class of Fellows of the Society for Industrial and Applied Mathematics. He obtained the Feng Kang Prize for his significant contributions in scientific computing. He serves on the Editorial Board members of several international journals.<\/span><\/p>\n


<\/span><\/p>\n<\/section>\n<\/section>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a<\/span>\u6797\u501e<\/span>\u00a0<\/span><\/strong><\/p>\n

\u4e2d\u5c71\u5927\u5b66<\/span>\u6559\u6388<\/span>
<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/span><\/section>\n

<\/span><\/p>\n
\n

\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>\u7269\u7406\u7a7a\u95f4\u667a\u80fd\u82e5\u5e72\u8fdb\u5c55\uff1a\u6846\u67b6\u3001\u6a21\u578b\u4e0e\u57fa\u51c6<\/span><\/p>\n


<\/span><\/section>\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1a\u672c\u62a5\u544a\u56f4\u7ed5\u52a8\u6001\u771f\u5b9e\u7269\u7406\u667a\u80fd\u7684\u201c\u6846\u67b6\u2014\u6a21\u578b\u2014\u57fa\u51c6\u201d\u4e09\u4e2a\u65b9\u9762\u5c55\u5f00\u3002<\/span><\/section>\n

\u5728\u6846\u67b6\u5c42\u9762\uff0c\u6211\u4eec\u63d0\u51fa Tweedie \u79bb\u6563\u6269\u6563\u6a21\u578b\uff0c\u5b9e\u7528\u4e8e\u8bed\u8a00\u751f\u6210\u548cVLA\uff0c\u5e76\u5728\u6b64\u57fa\u7840\u4e0a\u6784\u5efa\u4e86 VLA \u7684 E0 \u6a21\u578b\u3002\u8be5\u6a21\u578b\u5728\u591a\u9879\u673a\u5668\u4eba\u64cd\u63a7\u6570\u636e\u96c6\u53ca\u771f\u5b9e\u673a\u5668\u4eba\u5b9e\u9a8c\u4e2d\u5747\u53d6\u5f97\u9886\u5148\u8868\u73b0\u3002\u540c\u65f6\uff0c\u6211\u4eec\u63d0\u51fa\u7684\u7ebf\u6027\u7b97\u5b50\u6a21\u578b\u5728\u591a\u9879\u8bed\u8a00\u4efb\u52a1\u4e2d\u5c55\u73b0\u51fa\u9ad8\u6548\u6027\u4e0e\u8f83\u5f3a\u8868\u8fbe\u80fd\u529b\uff0c\u6027\u80fd\u4f18\u4e8e\u4e3b\u6d41\u7ebf\u6027\u6ce8\u610f\u529b\u65b9\u6cd5\u3002<\/span><\/p>\n

\u5728\u6a21\u578b\u5c42\u9762\uff0c\u6211\u4eec\u4ece\u201c\u901a\u7528\u7269\u7406\u5efa\u6a21\u201d\u4e0e\u201c\u7a7a\u95f4\u81ea\u9002\u5e94\u5efa\u6a21\u201d\u4e24\u4e2a\u7ef4\u5ea6\u91cd\u65b0\u7406\u89e3 VLA \u6a21\u578b\uff0c\u53d1\u73b0\u5176\u6cdb\u5316\u6027\u8fdc\u6bd4\u666e\u904d\u8ba4\u77e5\u4e2d\u66f4\u5f3a\u3002\u4ec5\u9700\u7ea6 4k \u53c2\u6570\u7684\u7a7a\u95f4\u81ea\u9002\u5e94\uff0c\u5373\u53ef\u8d4b\u4e88 VLA \u6a21\u578b\u8de8\u4efb\u52a1\u7684\u901a\u7528\u80fd\u529b\uff0c\u8fd9\u4e0e\u4eba\u7c7b\u7684\u901a\u7528\u64cd\u4f5c\u80fd\u529b\u5177\u6709\u9ad8\u5ea6\u4e00\u81f4\u6027\u3002\u6b64\u5916\uff0c\u6211\u4eec\u63d0\u51fa\u7684\u7269\u7406\u81ea\u56de\u5f52\u6a21\u578b\u5728\u7269\u7406\u63a8\u7406\u3001\u65f6\u7a7a\u9884\u6d4b\u4e0e\u52a8\u4f5c\u751f\u6210\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u663e\u8457\u5f3a\u6cdb\u5316\u80fd\u529b\uff0c\u62d3\u5c55\u7269\u7406\u63a8\u7406\u80fd\u529b\u3002<\/span><\/p>\n

\u5728\u57fa\u51c6\u5c42\u9762\uff0c\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u9762\u5411\u52a8\u6001\u771f\u5b9e\u7269\u7406\u73af\u5883\u7684\u5168\u81ea\u52a8\u3001\u53ef\u6301\u7eed\u8fd0\u884c\u7684 24\/7 \u771f\u673a\u8bc4\u6d4b\u5e73\u53f0\uff0c\u5b9e\u73b0\u4e86\u4ece\u4efb\u52a1\u5e03\u7f6e\u3001\u64cd\u63a7\u6267\u884c\u5230\u7ed3\u679c\u8bc4\u4f30\u7684\u5168\u6d41\u7a0b\u65e0\u4eba\u5316\u8fd0\u4f5c\uff0c\u4e3a\u672a\u6765\u7684\u771f\u5b9e\u7269\u7406\u667a\u80fd\u7814\u7a76\u63d0\u4f9b\u4e86\u6807\u51c6\u5316\u3001\u53ef\u91cf\u5316\u3001\u53ef\u6301\u7eed\u7684\u8bc4\u6d4b\u4f53\u7cfb\u3002<\/span><\/p>\n


<\/span><\/section>\n
\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>\u6797\u501e\uff0c\u4e2d\u5c71\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u4e8c\u7ea7\u6559\u6388\u3001\u56fd\u5bb6\u6770\u9752\u3001IEEE\/IAPR\/IET Fellow\u3001CCF-ACM\u9752\u5e74\u79d1\u6280\u5956\u83b7\u5f97\u8005\u3001\u517c\u4efb\u9e4f\u57ce\u5b9e\u9a8c\u5ba4\u5177\u8eab\u667a\u80fd\u7814\u7a76\u6240\u6240\u957f\u3001\u66fe\u4efb\u5546\u6c64\u79d1\u6280\u9996\u5e2d\u7814\u53d1\u603b\u76d1\/\u7814\u7a76\u9662\u6267\u884c\u9662\u957f\u3002\u4ed6\u957f\u671f\u4ece\u4e8b\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u3001\u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u7684\u5e94\u7528\u57fa\u7840\u7814\u7a76\u3002\u4f5c\u4e3a\u9879\u76ee\u8d1f\u8d23\u4eba\uff0c\u627f\u62c5\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u9879\u76ee\u548c\u56fd\u5bb62030\u79d1\u6280\u521b\u65b0\u91cd\u5927\u9879\u76ee\uff1b\u66fe\u5e26\u9886\u5546\u6c64\u79d1\u6280\u7814\u53d1\u56e2\u961f\u642d\u5efa\u5927\u89c4\u6a21AI\u57fa\u7840\u8bbe\u65bd\uff0c\u5f00\u62d3\u65b0\u5174\u884c\u4e1a\u3002\u5728\u56fd\u9645\u9876\u7ea7\u5b66\u672f\u671f\u520a\u548c\u4f1a\u8bae\u53d1\u8868\u8bba\u6587300\u4f59\u7bc7\uff0c\u8bba\u6587\u88ab\u5f15\u75284.4\u4e07\u6b21(\u8c37\u6b4c\u5b66\u672f\u7edf\u8ba1)\uff0c\u591a\u6b21\u5165\u9009\u5168\u7403\u9ad8\u88ab\u5f15\u5b66\u8005\u699c\u5355\uff1b\u83b7\u6743\u5a01\u671f\u520aPattern Recognition\u5e74\u5ea6\u6700\u4f73\u8bba\u6587\u5956\uff0c\u591a\u5a92\u4f53\u8ba1\u7b97\u65d7\u8230\u4f1a\u8baeICME\u6700\u4f73\u8bba\u6587\u94bb\u77f3\u5956\uff0c\u8ba1\u7b97\u673a\u89c6\u89c9\u65d7\u8230\u4f1a\u8baeICCV\u6700\u4f73\u8bba\u6587\u5956\u63d0\u540d\uff0cACL 2025\u6770\u51fa\u8bba\u6587\u5956\uff1b\u6307\u5bfc\u535a\u58eb\u751f\u83b7\u5f97CCF\u4f18\u79c0\u535a\u58eb\u8bba\u6587\u5956\u3001ACMChina\u4f18\u79c0\u535a\u58eb\u8bba\u6587\u5956\u53caCAAI\u4f18\u79c0\u535a\u58eb\u8bba\u6587\u5956\uff1b\u5e26\u9886\u56e2\u961f\u83b7\u5f97\u5e7f\u4e1c\u7701\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u3001\u5434\u6587\u4fca\u4eba\u5de5\u667a\u80fd\u81ea\u7136\u79d1\u5b66\u5956\u3001\u4e2d\u56fd\u56fe\u8c61\u56fe\u5f62\u5b66\u5b66\u4f1a\u79d1\u5b66\u6280\u672f\u4e00\u7b49\u5956\u7b49\u8363\u8a89\u3002<\/span><\/section>\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a<\/span>\u53f6\u9f50\u7965<\/span><\/span><\/span><\/strong><\/strong><\/p>\n

\u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\u7279\u8058\u6559\u6388<\/span><\/span><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n

<\/span><\/section>\n
\n
\n
\n
\n
\n

\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>\u4ece\u89c6\u89c9\u8868\u5f81\u6a21\u578b\u8bbe\u8ba1\u5230\u89c6\u89c9\u667a\u80fd\u4f53\u6784\u5efa<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\u00a0 \u00a0\u00a0<\/strong><\/p>\n

\n
\n
\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1a<\/span>\u7814\u7a76\u4e86\u5c40\u90e8\u5377\u79ef\u8fd0\u7b97\u4e0e\u5168\u5c40\u6ce8\u610f\u529b\u8fd0\u7b97\u7684\u4e92\u8865\u6027\uff0c\u5c06\u5c40\u90e8\u7279\u5f81\u4e0e\u5168\u5c40\u7279\u5f81\u8026\u5408\u5f62\u6210Conformer\u7f51\u7edc\u7ed3\u6784\uff0c\u663e\u8457\u589e\u5f3a\u5c0f\u53c2\u6570\u89c6\u89c9\u6a21\u578b\u8868\u5f81\u80fd\u529b\u3002\u63a2\u8ba8\u4e86\u5c40\u90e8\u5377\u79ef\u8fd0\u7b97\u9020\u6210\u7684\u81ea\u76d1\u7763\u5b66\u4e60\u4fe1\u606f\u6cc4\u9732\u95ee\u9898\uff0c\u63d0\u51fa\u4e86Token Merging\u64cd\u4f5c\uff0c\u7a81\u7834\u5377\u79ef\u6216\u5c40\u90e8\u8fd0\u7b97\u7684\u5c40\u90e8\u7ea6\u675f\uff0c\u5f62\u6210\u9ad8\u6548\u5206\u5c42Transformer \u8868\u5f81(HiViT)\u4e0e\u5168\u9884\u8bad\u7ec3\u7684Transformer \u91d1\u5b57\u5854\u7f51\u7edc\uff08iTPN\uff09\u3002\u63a2\u7d22\u4e86\u7269\u7406\u542f\u53d1\u7684\u70ed\u4f20\u5bfc\u7b97\u5b50vheat\u4e0e\u72b6\u6001\u7a7a\u95f4\u8868\u5f81\u7b97\u5b50vMamba\uff0c\u5b9e\u73b0\u4e86\u66f4\u9ad8\u6548\u7684\u89c6\u89c9\u8868\u5f81\u3002\u5728ImageNet\u5206\u7c7b\u4efb\u52a1\u4e0a\uff0ciTPN-Base, iTPN-Large, iTPN-Huge \u5206\u522b\u8fbe\u5230\u4e8688.0%\uff0c89.2%, 89.7%\u7684Top-1\u5206\u7c7b\u7cbe\u5ea6\u3002\u89c6\u89c9\u8868\u5f81\u6a21\u578b\u8bbe\u8ba1\u7684\u57fa\u7840\u4e0a\uff0c\u5f00\u59cb\u63a2\u7d22\u5982\u4f55\u6784\u5efa\u89c6\u89c9\u601d\u7ef4\u94fe\u4e0e\u89c6\u89c9\u667a\u80fd\u4f53\u3002\u4ee3\u7801\uff1agithub.com\/pengzhiliang\/Conformer, github.com\/sunsmarterjie\/iTPN, github.com\/MzeroMiko\/VMamba, Vheat.\u00a0<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n


<\/strong><\/p>\n

\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>\u53f6\u9f50\u7965\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\u7279\u8058\u6559\u6388\u3001\u56fd\u5bb6\u6770\u51fa\u9752\u5e74\u57fa\u91d1\u83b7\u5f97\u8005\u3001\u4e2d\u79d1\u9662\u5362\u5609\u9521\u9752\u5e74\u4eba\u624d\u5956\u83b7\u5f97\u8005\u3001\u4e2d\u56fd\u79d1\u5b66\u9662\u4f18\u79c0\u535a\u58eb\u751f\u5bfc\u5e08\u3001CVPR2023\u3001NeurIPS2023-25\u3001ICLR2024-25 \u9886\u57df\u4e3b\u5e2d\u3001\u56fd\u9645\u671f\u520aIEEE TITS\uff0cIEEE TCSVT\u7f16\u59d4\u3002\u4e3b\u8981\u8fdb\u884c\u89c6\u89c9\u8868\u5f81\u6a21\u578b\u3001\u6210\u50cf\u4e0e\u76ee\u6807\u611f\u77e5\u65b9\u5411\u7684\u7814\u7a76\uff0c\u5728CVPR, ICCV, NeurIPS\u7b49\u56fd\u9645\u4f1a\u8bae\u4e0eTPAMI, TNNLS, TIP\u7b49\u671f\u520a\u53d1\u8868\u8bba\u6587150\u4f59\u7bc7\uff0c\u5b66\u672f\u5f15\u752820000\u4f59\u6b21\u3002\u4e3b\u6301\u4e86\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u9879\u76ee\u3001\u539f\u521b\u9879\u76ee\u3001\u534e\u4e3a\u516c\u53f8\u3001\u56fd\u9632\u79d1\u6280\u521b\u65b0\u7279\u533a\u9879\u76ee\u3001\u4e2d\u56fd\u8fd0\u8f7d\u706b\u7bad\u6280\u672f\u7814\u7a76\u9662\u8bfe\u9898\u7b49\u56fd\u5bb6\u7ea7\u4e0e\u4f01\u4e1a\u79d1\u7814\u4efb\u52a1\uff0c\u662f\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u521b\u65b0\u56e2\u961f\u3001\u4e2d\u56fd\u79d1\u5b66\u9662\u7a33\u5b9a\u652f\u6301\u57fa\u7840\u7814\u7a76\u9886\u57df\u9752\u5e74\u56e2\u961f\u6210\u5458\u3002\u5f00\u53d1\u7684\u89c6\u89c9\u8868\u5f81\u4e0e\u611f\u77e5\u6280\u672f\u536b\u661f\u5728\u8f68\u8fd0\u884c\uff0c\u83b7\u4e2d\u56fd\u7535\u5b50\u5b66\u4f1a\u81ea\u7136\u79d1\u5b66\u4e00\u7b49\u5956\uff08\u6392\u540d1\uff09\u3001\u56fd\u5bb6\u6280\u672f\u53d1\u660e\u4e8c\u7b49\u5956\uff08\u6392\u540d2\uff09\uff0c\u6307\u5bfc\u591a\u540d\u535a\u58eb\u751f\u83b7\u4e2d\u79d1\u9662\u9662\u957f\u5956\u3001\u535a\u58eb\u540e\u521b\u65b0\u4eba\u624d\u8ba1\u5212\u3001\u4e2d\u79d1\u9662\u767e\u7bc7\u4f18\u79c0\u535a\u58eb\u8bba\u6587\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a<\/span>\u5f20\u5146\u7fd4<\/span>\u00a0<\/span><\/strong><\/p>\n

\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316<\/span>\u7814\u7a76\u6240\u7814\u7a76\u5458<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n<\/section>\n
\n
\n
\n
\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>\u8bba\u4e16\u754c\u6a21\u578b\u4e0e\u89c4\u6a21\u5b9a\u5f8b<\/span><\/section>\n

<\/span><\/section>\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1a<\/span>\u89c4\u6a21\u5b9a\u5f8b\u88ab\u89c6\u4e3a\u8fd1\u5e74\u6765\u4eba\u5de5\u667a\u80fd\u5feb\u901f\u8dc3\u8fc1\u7684\u6838\u5fc3\u9a71\u52a8\u529b\u4e4b\u4e00\uff0c\u4ece\u6839\u672c\u4e0a\u5851\u9020\u4e86\u4eba\u5de5\u667a\u80fd\u6280\u672f\u53d1\u5c55\u7684\u65b9\u5411\u4e0e\u8303\u5f0f\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u4e16\u754c\u6a21\u578b\u4f5c\u4e3a\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u65b0\u5174\u70ed\u70b9\uff0c\u5728\u8fd1\u671f\u53d7\u5230\u4e86\u6781\u4e3a\u5e7f\u6cdb\u7684\u5173\u6ce8\uff0c\u6b63\u5c55\u73b0\u51fa\u901a\u5411\u901a\u7528\u667a\u80fd\u7684\u5de8\u5927\u6f5c\u529b\uff0c\u88ab\u8ba4\u4e3a\u662f\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u53ef\u884c\u4e4b\u8def\u3002\u672c\u62a5\u544a\u7acb\u8db3\u5f53\u524d\u7814\u7a76\u8fdb\u5c55\uff0c\u5bf9\u8fd9\u4e24\u5927\u6982\u5ff5\u8fdb\u884c\u7cfb\u7edf\u68b3\u7406\u4e0e\u524d\u77bb\u6027\u5206\u6790\uff0c\u5e76\u91cd\u70b9\u63a2\u8ba8\u4e8c\u8005\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff1a\u662f\u89c4\u6a21\u5b9a\u5f8b\u7ee7\u7eed\u4e3a\u4e16\u754c\u6a21\u578b\u7684\u53d1\u5c55\u4fdd\u9a7e\u62a4\u822a\uff0c\u8fd8\u662f\u4e16\u754c\u6a21\u578b\u4e3a\u89c4\u6a21\u5b9a\u5f8b\u6ce8\u5165\u65b0\u7684\u751f\u547d\u529b\uff1f\u62a5\u544a\u5c06\u7ed3\u5408\u56e2\u961f\u8fd1\u671f\u7684\u7814\u7a76\u63a2\u7d22\uff0c\u5bf9\u8fd9\u4e00\u547d\u9898\u5c55\u5f00\u8ba8\u8bba\u4e0e\u601d\u8003\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>\u5f20\u5146\u7fd4\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\u7814\u7a76\u5458\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u6a21\u5f0f\u8bc6\u522b\u5b9e\u9a8c\u5ba4\u5e38\u52a1\u526f\u4e3b\u4efb\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\u5c97\u4f4d\u6559\u6388\uff0c\u56fd\u9645\u6a21\u5f0f\u8bc6\u522b\u5b66\u4f1a\u4f1a\u58eb\u3001\u4e9a\u592a\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u4f1a\u58eb\uff0c\u201c\u6559\u80b2\u90e8\u957f\u6c5f\u5b66\u8005\u7279\u8058\u6559\u6388\u201d\u3002\u7814\u7a76\u65b9\u5411\u662f\u6a21\u5f0f\u8bc6\u522b\u3001\u5177\u8eab\u667a\u80fd\u3001\u667a\u80fd\u4f53\u5b66\u4e60\u3002\u5148\u540e\u4e3b\u6301\u4e86\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u9879\u76ee\u3001\u8054\u5408\u57fa\u91d1\u91cd\u70b9\u3001\u91cd\u70b9\u56fd\u9645(\u5730\u533a)\u5408\u4f5c\u7814\u7a76\u3001\u5317\u4eac\u5e02\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u3001\u4e2d\u79d1\u9662\u5148\u5bfc\u79d1\u6280\u4e13\u9879\u3001\u542f\u5143\u56fd\u5bb6\u5b9e\u9a8c\u5ba4\u91cd\u70b9\u9879\u76ee\u3001\u88c5\u5907\u90e8\u91cd\u70b9\u9879\u76ee\u7b49\u591a\u9879\u56fd\u5bb6\u7ea7\u91cd\u70b9\u9879\u76ee\uff0c\u5728IEEE T-PAMI\u3001CVPR\u7b49\u672c\u9886\u57df\u56fd\u9645\u4e3b\u6d41\u671f\u520a\u4e0e\u4f1a\u8bae\u53d1\u8868\u8bba\u6587200\u4f59\u7bc7\uff0c\u6388\u6743\u53d1\u660e\u4e13\u522935\u9879\u3002\u662fTPAMI\u3001IJCV\u3001PR\u7b49\u4eba\u5de5\u667a\u80fd\u9876\u520a\u7f16\u59d4\uff0cICCV\u3001CVPR\u3001NeurIPS\u7b49\u4eba\u5de5\u667a\u80fd\u9876\u4f1a\u9886\u57df\u4e3b\u5e2d\uff0c\u83b7\u5317\u4eac\u5e02\u79d1\u6280\u8fdb\u6b65\u5956\u4e00\u7b49\u5956\uff08\u6392\u540d\u7b2c\u4e00\uff09\u3001\u5317\u4eac\u5e02\u79d1\u6280\u5956\u6770\u51fa\u9752\u5e74\u4e2d\u5173\u6751\u5956\u3001\u4e2d\u56fd\u7535\u5b50\u5b66\u4f1a\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u7b49\u3002<\/span><\/section>\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a<\/span>\u6234\u7389\u8d85<\/span><\/strong><\/p>\n

\u897f\u5317\u5de5\u4e1a\u5927\u5b66<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\"\u56fe\u7247\"<\/section>\n
\n
\n
\n
<\/p>\n
\n
\n
\n

\u00a0 \u62a5\u544a\u9898\u76ee\uff1a\u8bba\u4e16\u754c\u6a21\u578b\u4e0e\u89c4\u6a21\u5b9a\u5f8b<\/span><\/span><\/p>\n

\n
\n
\n

<\/strong><\/section>\n
\u00a0\u62a5\u544a\u6458\u8981<\/strong>\uff1a\u4e8b\u4ef6\u76f8\u673a\uff08Event Camera\uff09\u4f5c\u4e3a\u65b0\u578b\u4eff\u751f\u89c6\u89c9\u4f20\u611f\u5668\uff0c\u5f02\u6b65\u54cd\u5e94\u50cf\u7d20\u7ea7\u4eae\u5ea6\u53d8\u5316\uff0c\u7a81\u7834\u4e86\u4f20\u7edf\u5e27\u5f0f\u76f8\u673a\u5728\u9ad8\u901f\u8fd0\u52a8\u3001\u9ad8\u52a8\u6001\u8303\u56f4\u573a\u666f\u4e2d\u7684\u5c40\u9650\u3002\u4e8b\u4ef6\u76f8\u673a\u5728\u81ea\u52a8\u9a7e\u9a76\u3001\u673a\u5668\u4eba\u5bfc\u822a\u3001\u519b\u4e8b\u56fd\u9632\u3001\u6df1\u7a7a\u63a2\u6d4b\u3001\u9ad8\u901f\u5de5\u4e1a\u68c0\u6d4b\u7b49\u9886\u57df\u5c55\u73b0\u51fa\u5de8\u5927\u6f5c\u529b\u3002\u62a5\u544a\u56f4\u7ed5\u8bfe\u9898\u7ec4\u5728\u57fa\u4e8e\u4e8b\u4ef6\u76f8\u673a\u7684\u8fd0\u52a8\u611f\u77e5\u4e0e\u751f\u6210\u65b9\u9762\u7684\u5de5\u4f5c\u5c55\u5f00\uff0c\u6db5\u76d6\u4e8c\u7ef4\u4e0e\u4e09\u7ef4\u8fd0\u52a8\u4f30\u8ba1\u3001\u957f\u65f6\u70b9\u8f68\u8ff9\u8ddf\u8e2a\u3001\u8fd0\u52a8\u7269\u4f53\u8ddf\u8e2a\u4e0e\u5206\u5272\u3001\u89c6\u9891\u5e27\u751f\u6210\u3001\u65b0\u89c6\u89d2\u751f\u6210\u7b49\u5b50\u4efb\u52a1\uff0c\u4ee5\u6253\u7834\u73b0\u6709\u57fa\u4e8e\u5e27\u7684\u56fe\u50cf\u76f8\u673a\u5b58\u5728\u7684\u611f\u77e5\u74f6\u9888\uff0c\u5c55\u73b0\u4e8b\u4ef6\u76f8\u673a\u5728\u590d\u6742\u52a8\u6001\u573a\u666f\u4e0b\u7684\u611f\u77e5\u4e0e\u751f\u6210\u6f5c\u529b\u3002<\/span><\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n

<\/strong><\/section>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>\u6234\u7389\u8d85\uff0c\u897f\u5317\u5de5\u4e1a\u5927\u5b66\u7535\u5b50\u4fe1\u606f\u5b66\u9662\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u6821\u5b66\u672f\u59d4\u5458\u4f1a\u59d4\u5458\uff0c\u9655\u897f\u7701\u4fe1\u606f\u83b7\u53d6\u4e0e\u5904\u7406\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u673a\u5668\u89c6\u89c9\u4e0e\u4eba\u5de5\u667a\u80fd\uff0c\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u79d1\u5b66\u57fa\u91d1A\u7c7b\u9879\u76ee\uff08\u539f\u56fd\u5bb6\u6770\u9752\uff09\u3001JKW\u57fa\u7840\u52a0\u5f3a\u8ba1\u5212\u9886\u57df\u57fa\u91d1\u91cd\u70b9\u7b49\u9879\u76ee\u3002\u8fd1\u5e74\u6765\u5728TPAMI\u3001IJCV\u3001ICCV\u3001CVPR\u3001NeurIPS\u7b49\u56fd\u9645\u8457\u540d\u671f\u520a\u548c\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u658780\u4f59\u7bc7\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u7528\u8d85\u8fc716000\u6b21\uff0cH\u56e0\u5b5059\u3002\u83b7CVPR \u6700\u4f73\u8bba\u6587\u5956\u3001\u9655\u897f\u7701\u81ea\u7136\u79d1\u5b66\u5956\u4e00\u7b49\u5956\u3001CSIG\u9752\u5e74\u79d1\u5b66\u5bb6\u5956\u7b49\u5956\u9879\u3002\u62c5\u4efb\u56fd\u9645\u9876\u520aTPAMI\u7f16\u59d4\u3001IJCV\u7f16\u59d4\u3001APSIPA\u6770\u51fa\u8bb2\u8005\u3001China3DV 2025\u5927\u4f1a\u4e3b\u5e2d\u3001\u4e2d\u56fd\u7a7a\u95f4\u667a\u80fd\u5927\u4f1a\u7a0b\u5e8f\u4e3b\u5e2d\u548cCVPR\u3001ICCV\u3001ECCV\u3001NeurIPS\u7b49\u56fd\u9645\u4f1a\u8bae\u9886\u57df\u4e3b\u5e2d\u3002<\/span><\/section>\n

<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a<\/span>\u94b1\u5efa\u519b<\/span><\/span><\/span><\/strong><\/p>\n

\u5357\u4eac\u7406\u5de5\u5927\u5b66<\/span><\/span><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n

<\/span><\/section>\n
\n
\n
\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>\u4eba\u8138\u611f\u77e5\uff1a\u7531\u5916\u81f3\u5185<\/span><\/section>\n

<\/span><\/section>\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1a\u4eba\u8138\u662f\u6700\u5bcc\u793e\u4f1a\u4fe1\u606f\u7684<\/span>\u201c\u89c6\u89c9\u8bed\u8a00\u201d\u3002\u81ea\u53e4\u81f3\u4eca\uff0c\u4eba\u7c7b\u90fd\u5728\u8bd5\u56fe\u900f\u8fc7\u4eba\u8138\u5916\u5728\u8868\u8c61\u7406\u89e3\u5185\u5728\u72b6\u6001\u3002\u5f53\u524d\uff0c\u89c6\u89c9\u4eba\u8138\u611f\u77e5\u53ca\u4ea4\u4e92\u751f\u6210\u662f\u667a\u80fd\u4f53\u5b9e\u73b0\u5065\u5eb7\u76d1\u6d4b\u3001\u60c5\u611f\u5f15\u5bfc\u7b49\u4efb\u52a1\u7684\u57fa\u7840\u3002\u62a5\u544a\u5c06\u56f4\u7ed5\u8bfe\u9898\u7ec4\u8fd1\u671f\u5728\u4eba\u8138\u611f\u77e5\u4e0e\u751f\u6210\u65b9\u9762\u7684\u5de5\u4f5c\u5c55\u5f00\uff0c\u5305\u62ec\u751f\u7406\u4fe1\u606f\u611f\u77e5\uff08\u4f53\u6e29\u3001\u5fc3\u7387\u548c\u547c\u5438\u7387\uff09\u3001\u591a\u6a21\u6001\u60c5\u611f\u5206\u6790\u4e0e\u6570\u5b57\u4eba\u50cf\u751f\u6210\u7b49\u5185\u5bb9\uff0c\u5e76\u8fdb\u4e00\u6b65\u63a2\u8ba8\u76f8\u5173\u4efb\u52a1\u7684\u5171\u6027\u95ee\u9898\u548c\u53d1\u5c55\u8d8b\u52bf\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>\u5357\u4eac\u7406\u5de5\u5927\u5b66\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u6a21\u5f0f\u8bc6\u522b\u4e13\u59d4\u4f1a\u526f\u79d8\u4e66\u957f\u3001\u6c5f\u82cf\u7701\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u6a21\u5f0f<\/span>\u8bc6\u522b\u4e13\u59d4\u4f1a\u526f\u4e3b\u4efb\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u6a21\u5f0f\u8bc6\u522b\u4e0e\u89c6\u89c9\u8ba1\u7b97\u3001\u4ee5\u4eba\u4e3a\u4e2d\u5fc3\u7684\u5177\u8eab\u611f\u77e5\uff0c\u76f8\u5173\u6210\u679c\u53d1\u8868\u5728IEEE TPAMI\/TIP\/TNNLS, IJCV, PR, CVPR\/AAAI\/ACMMM\u7b49\u56fd\u9645\u6743\u5a01\u520a\u7269\u548c\u77e5\u540d\u56fd<\/span>\u9645\u4f1a\u8bae100\u4f59\u7bc7\u3002\u5148\u540e\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee3\u9879\u3001\u6c5f\u82cf\u7701\u57fa\u7840\u7814\u7a76\u8ba1\u5212\u91cd\u70b9\u9879\u76ee1\u9879\uff0c\u53c2\u4e0eJW\u79d1\u6280\u59d4\u57fa\u7840\u52a0\u5f3a\u9879\u76ee\u7b49\u591a\u9879\u3002\u83b7\u5f97\u6c5f\u82cf\u7701\u79d1\u5b66\u6280\u672f\u5956\u4e00\u7b49\u59562\u9879\uff08\u5206\u522b\u4e3a\u7b2c\u4e8c\u3001\u56db\u5b8c\u6210\u4eba\uff09\u3002\u5165\u9009\u56fd\u5bb6\u7ea7\u9752\u5e74\u4eba\u624d\u8ba1\u5212\u3001\u201c\u9999\u6c5f\u5b66\u8005\u8ba1\u5212\u201d\u3001\u6c5f\u82cf\u7701\u201c\u9752\u84dd\u5de5\u7a0b\u201d\u4f18\u79c0\u9752\u5e74\u9aa8\u5e72\u6559\u5e08\u7b49\u3002\u6307\u5bfc\u5b66\u751f\u5728\u201cUdacity – DiDi\u65e0\u4eba\u9a7e\u9a76\u5168\u7403\u6311\u6218\u8d5b\u201d\u3001\u201cChinaMM-\u7528\u6237\u5174\u8da3\u5efa\u6a21\u5927\u8d5b\u201d\u3001\u201cIJCAI-\u57fa\u4e8e\u89c6\u89c9\u7684\u8fdc\u7a0b\u751f\u7406\u4fe1\u53f7\u611f\u77e5\u7ade\u8d5b\u201d\u7b49\u591a\u9879\u8d5b\u4e8b\u4e2d\u83b7\u5f97\u51a0\/\u4e9a\u519b\u3002<\/span>
<\/span>
<\/span><\/section>\n

<\/span><\/section>\n

\u4e3b\u65e8\u62a5\u544a\uff1a<\/span>\u5218\u8d24\u660e<\/span><\/span><\/span><\/strong>
<\/span>\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66<\/span>
<\/span><\/p>\n

\n

<\/span><\/section>\n<\/section>\n
\"\u56fe\u7247\"<\/section>\n


<\/span><\/strong><\/p>\n

\u62a5\u544a\u9898\u76ee<\/span><\/strong>\uff1a<\/span>\u5148\u8fdb\u4e09\u7ef4\u89c6\u89c9\u611f\u77e5<\/span><\/p>\n


<\/span><\/p>\n

\u62a5\u544a\u6458\u8981<\/span><\/strong>\uff1a<\/span>\u4ece\u4f20\u611f\u5668\u6570\u636e\u4e2d\u6062\u590d\u3001\u63a8\u65ad\u5e76\u7406\u89e3\u73af\u5883\u4e2d\u7269\u4f53\u6216\u573a\u666f\u7684\u4e09\u7ef4\u51e0\u4f55\u7ed3\u6784\u3001\u7a7a\u95f4\u5173\u7cfb\u53ca\u5176\u8fd0\u52a8\u4fe1\u606f\uff0c\u662f\u5177\u8eab\u667a\u80fd\u3001\u865a\u62df<\/span><\/span>\/\u589e\u5f3a\u73b0\u5b9e\uff08VR\/AR\uff09\u3001\u81ea\u52a8\u9a7e\u9a76\u7b49\u9886\u57df\u7684\u91cd\u8981\u57fa\u7840\u95ee\u9898\u3002\u7269\u4f53\u7684\u5728\u7ebf 6D \u4f4d\u59ff\u611f\u77e5\u4e0e\u6df1\u5ea6\u4f30\u8ba1\uff0c\u6784\u6210\u4e86\u5177\u8eab\u667a\u80fd\u4e2d\u7684\u4e24\u9879\u6838\u5fc3\u6280\u672f\u73af\u8282\u3002\u672c\u62a5\u544a\u5c06\u4ecb\u7ecd\u8bfe\u9898\u7ec4\u5728\u8be5\u65b9\u5411\u7684\u6700\u65b0\u7814\u7a76\u8fdb\u5c55\uff0c\u6db5\u76d6\u5355\u76ee\u89c6\u9891\u4e0b\u7684\u96f6\u6837\u672c\u7269\u4f53 6D \u4f4d\u59ff\u8ddf\u8e2a\u3001\u57fa\u4e8e\u9690\u5f0f\u8868\u9762\u4f18\u5316\u7684 6D \u4f4d\u59ff\u4fee\u6b63\uff0c\u4ee5\u53ca\u591a\u4f20\u611f\u5668\u534f\u540c\u6df1\u5ea6\u4f30\u8ba1\u7b49\u5173\u952e\u6280\u672f\u3002<\/span><\/p>\n


<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u8bb2\u8005\u7b80\u4ecb<\/span><\/strong>\uff1a<\/span>\u5218\u8d24\u660e\uff0c\u73b0\u4efb\u54c8\u5de5\u5927\u8ba1\u7b97\u673a\u5b66\u9662\u957f\u8058\u6559\u6388\u3001\u526f\u9662\u957f\uff0c\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u9752\u5e74\u79d1\u5b66\u57fa\u91d1<\/span>A\u7c7b\uff08\u539f\u56fd\u5bb6\u6770\u9752\uff09\u548cB\u7c7b\uff08\u539f\u56fd\u5bb6\u4f18\u9752\uff09\u83b7\u5f97\u8005\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u53ef\u4fe1\u673a\u5668\u5b66\u4e60\u3001\u591a\u5a92\u4f53\u4fe1\u606f\u5904\u7406\uff0c\u5728Nature Methods\u3001Nature Communications\u3001TPAMI\u3001JMLR\u3001TRO\u3001NeurIPS\u3001ICML\u3001ICLR\u3001CVPR\u3001ICCV\u3001ECCV\u7b49\u56fd\u9645\u9876\u7ea7\u671f\u520a\u548c\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u6587200\u4f59\u7bc7\u3002\u83b7\u5f97\u4e2d\u56fd\u56fe\u8c61\u56fe\u5f62\u5b66\u5b66\u4f1a\u81ea\u7136\u79d1\u5b66\u5956\u3001\u9ed1\u9f99\u6c5f\u7701\u9752\u5e74\u79d1\u6280\u5956\u3001\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u7b2c\u516b\u5c4a\u5434\u6587\u4fca\u4eba\u5de5\u667a\u80fd\u4f18\u79c0\u9752\u5e74\u5956\uff0cIEEE\u591a\u5a92\u4f53\u9886\u57df\u65d7\u8230\u4f1a\u8baeICME2016\u6700\u4f73\u5b66\u751f\u8bba\u6587\u5956\u548cSpringer IFTC2016\u6700\u4f73\u8bba\u6587\u5956\u3002\u4e3b\u6301\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u91cd\u70b9\u4e13\u9879\u9879\u76ee\u3001\u8bfe\u9898\uff0c\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u9752A\u3001\u4f18\u9752\u3001\u91cd\u5927\u7814\u7a76\u8ba1\u5212\u3001\u9762\u4e0a\u548c\u9752\u5e74\u7b49\u9879\u76ee\u3002\u6307\u5bfc\u7684\u535a\u58eb\u751f\u83b7\u8bc4\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u4f18\u79c0\u535a\u58eb\u8bba\u6587\u5956\u3001\u9996\u5c4a\u9ed1\u9f99\u6c5f\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u4f18\u79c0\u535a\u58eb\u8bba\u6587\u4e00\u7b49\u5956\uff08\u552f\u4e00\u83b7\u5956\u8005\uff09\u3001\u9996\u6279\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u5b66\u751f\u57fa\u7840\u7814\u7a76\u9879\u76ee\u8d44\u52a9\u3002\u8363\u83b7\u54c8\u5de5\u5927\u201c\u80b2\u4eba\u65b0\u661f\u201d\u9752\u5e74\u5bfc\u5e08\u8363\u8a89\u79f0\u53f7\u548c\u9ed1\u9f99\u6c5f\u7701\u7814\u7a76\u751f\u6559\u5b66\u6210\u679c\u5956\u7279\u7b49\u5956\uff08\u7b2c\u4e8c\u5b8c\u6210\u4eba\uff09\u3002<\/span><\/p>\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a\u97e9\u6b23\u5f64<\/span>
<\/span><\/span><\/span><\/strong><\/p>\n

\u817e\u8baf\u516c\u53f8<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n

<\/span><\/section>\n
\n
\n
\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>\u6df7\u5143<\/span><\/span>3D\u7814\u53d1\u5e03\u5c40\u4e0e\u5e94\u7528<\/span><\/section>\n

<\/span><\/section>\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1a<\/span>\u672c\u6b21\u6f14\u8bb2\u5c06\u805a\u7126\u6df7\u5143<\/span>3D\u751f\u6210\u6280\u672f\uff0c\u901a\u8fc7 \u201c3D\u7269\u4f53\u751f\u6210\u201d \u548c \u201c3D\u4e16\u754c\u751f\u6210\u201d \u4e24\u5927\u6838\u5fc3\u65b9\u5411\uff0c\u7cfb\u7edf\u62c6\u89e3\u5176\u7814\u53d1\u7684\u6280\u672f\u5e03\u5c40\u548c\u6838\u5fc3\u7a81\u7834\uff0c\u4ee5\u53ca\u5728\u591a\u5143\u884c\u4e1a\u573a\u666f\u4e2d\u7684\u843d\u5730\u5e94\u7528\u4e0e\u5b9e\u8df5\u6210\u679c\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a\u97e9\u6b23\u5f64\uff0c\u7f8e\u56fd\u9a6c\u91cc\u5170\u5927\u5b66\u5e15\u514b\u5206\u6821\u535a\u58eb\u3002\u957f\u671f\u6df1\u8015\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u6df1\u5ea6\u5b66\u4e60\u4e0e AI \u5927\u6a21\u578b\u9886\u57df\uff0c\u53d1\u8868\u76f8\u5173\u8bba\u6587 50 \u4f59\u7bc7\uff0c\u7d2f\u8ba1\u5f15\u7528\u8d85 9000 \u6b21\u3002\u73b0\u4efb\u817e\u8baf\u6df7\u5143 3D \u751f\u6210\u4e2d\u5fc3\u7814\u7a76\u5458\uff0c\u4e13\u6ce8 3D \u7269\u4f53\u751f\u6210\u7b97\u6cd5\u7684\u7814\u7a76\u4e0e\u843d\u5730\uff0c\u4e3b\u5bfc\u7b97\u6cd5\u53ca\u9879\u76ee\u5df2\u5e94\u7528\u4e8e\u817e\u8baf\u591a\u6b3e\u5934\u90e8\u6e38\u620f\uff0c\u5e76\u901a\u8fc7\u817e\u8baf\u4e91\u670d\u52a1\u8d4b\u80fd\u8d85 100 \u5bb6\u5916\u90e8\u5ba2\u6237\u3002<\/span><\/section>\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n

\u4e3b\u65e8\u62a5\u544a<\/span><\/strong>\uff1a<\/span>\u6797\u94d6<\/span>\u00a0<\/span><\/strong><\/p>\n

\u6fb3\u95e8\u79d1\u6280\u5927\u5b66<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n

<\/span><\/section>\n
\n
\n
\u62a5\u544a\u9898\u76ee<\/strong>\uff1a<\/span>AIGC\u65f6\u4ee3\u7684\u6e38\u620f\u6570\u5b57\u5185\u5bb9\u751f\u6210<\/span><\/section>\n

<\/span><\/section>\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1a<\/span>\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\uff08AIGC\uff09\u7684\u7a81\u7834\u5f0f\u53d1\u5c55\u5bf9\u5168\u7403\u8303\u56f4\u5185\u5404\u884c\u5404\u4e1a\u4ea7\u751f\u4e86\u9769\u547d\u6027\u7684\u5f71\u54cd\u3002\u6570\u5b57\u5185\u5bb9\u4e0e\u4e92\u52a8\u6e38\u620f\u9886\u57df\uff0c\u7531\u4e8e\u5176\u5bf9\u4e2a\u6027\u5316\u4f53\u9a8c\u3001\u5185\u5bb9\u4e30\u5bcc\u5ea6\u4ee5\u53ca\u6c89\u6d78\u4e92\u52a8\u6027\u7b49\u8f83\u9ad8\u8981\u6c42\uff0c\u6210\u4e3aAIGC\u65b0\u6280\u672f\u52a0\u901f\u5e94\u7528\u7684\u6838\u5fc3\u573a\u666f\u3002\u5728\u8fd9\u4e00\u80cc\u666f\u4e0b\uff0c\u672c\u62a5\u544a\u63a2\u8ba8\u4e86AIGC\u6280\u672f\u5728\u91cd\u5851\u6e38\u620f\u6570\u5b57\u5185\u5bb9\u751f\u4ea7\u8303\u5f0f\u65b9\u9762\u7684\u7814\u7a76\uff0c\u91cd\u70b9\u5206\u6790\u5982\u4f55\u8fd0\u7528\u751f\u6210\u5f0fAI\u6280\u672f\u8d4b\u80fd\u5173\u952e\u5185\u5bb9\u5236\u4f5c\u73af\u8282\uff0c\u5305\u62ec\u539f\u753b\u521b\u4f5c\u30013D\u6a21\u578b\u751f\u6210\u3001PBR\u6750\u8d28\u8d34\u56fe\u3001\u89d2\u8272\u5efa\u6a21\u3001\u6a21\u578b\u51e0\u4f55\u5904\u7406\u4e0e\u91cd\u62d3\u6251\u7b49\u3002\u5728\u73b0\u6709\u5236\u4f5c\u7ba1\u7ebf\u4e4b\u5916\uff0c\u672c\u62a5\u544a\u5bf9\u57fa\u4e8e\u53ef\u63a7\u89c6\u9891\u521b\u4f5c\u7684\u672a\u6765\u6570\u5b57\u5185\u5bb9\u7ba1\u7ebf\u6280\u672f\u8fdb\u884c\u4e86\u63a2\u7d22\uff0c\u5e76\u5bf9\u672a\u6765\u6e38\u620fAIGC\u6280\u672f\u8fdb\u884c\u4e86\u5c55\u671b\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u8bb2\u8005\u7b80\u4ecb<\/strong>\uff1a<\/span>\u6797\u94d6\uff0c\u6fb3\u95e8\u79d1\u6280\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662\u52a9\u7406\u6559\u6388\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u4e09\u7ef4\u89c6\u89c9\u3001\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u3001\u4eba\u673a\u4ea4\u4e92\u548c\u6570\u5b57\u6587\u5a31\u7b49\u3002\u4ed6\u4e8e2021\u5728\u9999\u6e2f\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\uff0c\u4e8e2019\u5e74\u5728\u5fb7\u56fd\u6155\u5c3c\u9ed1\u5de5\u4e1a\u5927\u5b66\u8bbf\u95ee\u7814\u7a76\u3002\u4ed6\u57282021\u81f32025\u5e74\u95f4\u5728\u5206\u522b\u7c73\u54c8\u6e38\u3001\u817e\u8baf\u4e92\u5a31\u7684\u7814\u7a76\u90e8\u95e8\u62c5\u4efb\u9ad8\u7ea7\u7814\u7a76\u5458\u3001AI Graphics\u65b9\u5411\u8d1f\u8d23\u4eba\uff0c\u5165\u9009\u817e\u8baf\u6280\u672f\u5927\u5496\u5934\u90e8\u4eba\u624d\u8ba1\u5212\u3002\u4ed6\u8fd8\u662f3D\u751f\u6210AI\u7814\u7a76\u793e\u533aAnySyn3D\u7684\u521b\u59cb\u4eba\u548c\u7ec4\u7ec7\u8005\u4e4b\u4e00\u3002\u8fd1\u5e74\u6765\uff0c\u4ed6\u5728\u4e1a\u754c\u5934\u90e8\u6e38\u620f\u4f01\u4e1a\u4e3b\u5bfc\u4e86\u591a\u4e2a\u6e38\u620f3D\u8d44\u4ea7AI\u751f\u6210\u9879\u76ee\u7684\u843d\u5730\u7814\u53d1\u3002\u4ed6\u83b7\u5f97\u4e865\u9879\u56fd\u5bb6\u53ca\u56fd\u9645\u53d1\u660e\u4e13\u5229\u6388\u6743\u3002\u4ed6\u5728CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, TPAMI\u7b49\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u56fe\u5f62\u5b66\u7684\u9876\u7ea7\u4f1a\u8bae\u548c\u671f\u520a\u4e0a\u53d1\u8868\u4e86\u4e09\u5341\u4f59\u7bc7\u8bba\u6587\uff0cGoogle\u5b66\u672f\u5f15\u7528\u8fd13000\u6b21\u3002\u4ed6\u4ee5\u7b2c\u4e00\u4f5c\u8005\u8eab\u4efd\u83b7\u5f97CVPR2021\u6700\u4f73\u8bba\u6587\u5019\u9009\uff0c\u4ee5\u7b2c\u4e00\u4f5c\u8005\u3001\u901a\u8baf\u4f5c\u8005\u8eab\u4efd\u8fdb\u5165ICLR2024\u548cCVPR2024\u6700\u5177\u5f71\u54cd\u529b\u8bba\u6587\u540d\u5355\u3002<\/span><\/section>\n


<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

\u4e3b\u65e8\u62a5\u544a\uff1a\u674e\u5f18\u626c<\/strong><\/strong><\/p>\n

\u9999\u6e2f\u5927\u5b66<\/span><\/p>\n

<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n<\/section>\n
\n
\n
\n
\u00a0 \u00a0 \u00a0 \u00a0<\/span>
<\/span>\u00a0 \u00a0 \u00a0 \u00a0\u62a5\u544a\u9898\u76ee<\/span><\/strong>\uff1aTowards Generalizable and Intelligent System for Robotic Manipulation<\/span><\/section>\n

<\/span><\/section>\n
\u62a5\u544a\u6458\u8981<\/strong>\uff1aHongyang Li is an Assistant Professor at The University of Hong Kong and has led OpenDriveLab (<\/span>opendrivelab.com<\/span><\/span>) since 2021. His research focus is on autonomous driving and embodied AI. He led the end-to-end autonomous driving project, UniAD and won the IEEE CVPR 2023 Best Paper Award. He created the first large-scale real robot ecosystem, Agibot World, that systematically investigated the scaling law principles for robotic manipulation. He served as Area Chair for CVPR, NeurIPS, ICLR, ICCV, ICML, RSS.\u00a0<\/span><\/section>\n

<\/span><\/section>\n
\u8bb2\u8005\u7b80\u4ecb\uff1a<\/span>A generalist robot should perform effectively across various environments. However, most existing approaches heavily rely on scaling action-annotated data to enhance their capabilities. Consequently, they are often limited to single physical specification and struggle to learn transferable knowledge across different embodiments and environments. To confront these limitations, we propose UniVLA, a new framework for learning cross-embodiment vision-language-action (VLA) policies. Our key innovation is to derive task-centric action representations from videos with a latent action model. This enables us to exploit extensive data across a wide spectrum of embodiments and perspectives. To mitigate the effect of task-irrelevant dynamics, we incorporate language instructions and establish a latent action model within the DINO feature space. Learned from internet-scale videos, the generalist policy can be deployed to various robots through efficient latent action decoding. We obtain state-of-the-art results across multiple manipulation and navigation benchmarks, as well as real-robot deployments. UniVLA achieves superior performance over OpenVLA with less than 1\/20 of pretraining compute and 1\/10 of downstream data. Continuous performance improvements are observed as heterogeneous data, even including human videos, are incorporated into the training pipeline. The results underscore UniVLA’s potential to facilitate scalable and efficient robot policy learning.<\/span><\/section>\n


<\/span><\/span><\/p>\n

\u5899\u62a5\uff08Poster<\/span><\/span>\uff09<\/span><\/span><\/span><\/p>\n

\u5899\u62a5\uff08<\/span><\/span><\/span><\/strong>Poster<\/span><\/span><\/span><\/strong>\uff09\u5f81\u96c6\u62a5\u540d\u622a\u6b62\u65f6\u95f4<\/span><\/span><\/span><\/span><\/strong><\/span><\/p>\n

2025\u5e7411\u670830\u65e5<\/span><\/span><\/span><\/span><\/p>\n

\u4f18\u79c0\u8bba\u6587\u5165\u9009\u53cd\u9988\u65f6\u95f4<\/span><\/span><\/span><\/span><\/strong><\/strong><\/p>\n

2025\u5e7412\u670810\u65e5<\/span><\/span><\/span><\/span><\/p>\n

\u4f18\u79c0\u8bba\u6587\u8bc4\u9009\u65b9\u6cd5<\/span><\/span><\/span><\/span><\/strong><\/strong><\/p>\n

\u4f18\u79c0\u8bba\u6587\u7684\u8bc4\u9009\u4ee5<\/span><\/span><\/span><\/span>Poster<\/span><\/span><\/span><\/strong>\u5f62\u5f0f<\/span><\/span><\/span><\/span><\/strong>\u63d0\u4ea4\u5e76\u5f00\u5c55\uff0c\u5177\u4f53\u4e3e\u63aa\u4e3a\uff1a<\/span><\/span><\/span><\/span><\/span><\/p>\n

1.\u5c06\u8bba\u6587\u5212\u5206\u4e3a<\/span><\/span><\/span>3<\/span><\/span><\/span><\/span>\u4e2a\u65b9\u5411\uff1a<\/span><\/span><\/span>\u00a0a)<\/span><\/span><\/span>\u8ba1\u7b97\u673a\u89c6\u89c9<\/span><\/span><\/span><\/span>\uff0c<\/span><\/span><\/span>\u00a0b)<\/span><\/span><\/span>\u673a\u5668\u5b66\u4e60<\/span><\/span><\/span><\/span>\uff0c<\/span><\/span><\/span>\u00a0c)<\/span><\/span><\/span>\u591a\u6a21\u6001\u5206\u6790<\/span><\/span><\/span><\/span><\/span><\/p>\n

2\uff0e\u6839\u636e\u6240\u63d0\u4ea4<\/span><\/span><\/span>Poster<\/span><\/span><\/span>\u6309\u65b9\u5411\u7531\u8bc4\u59d4\u4f1a\u7ec4\u7ec7\u8bc4\u9009\u4f18\u79c0\u8bba\u6587\uff0c\u83b7\u5956\u8bc1\u4e66\u7531\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a\u8ba4\u8bc1\u9881\u53d1\u3002<\/span><\/span><\/span><\/span><\/span><\/p>\n

3\uff0e\u53c2\u4e0e\u8bc4\u5956\u7684\u6587\u7ae0\u63a5\u6536\u65f6<\/span><\/span><\/span>\u7b2c<\/span><\/span><\/span>\u2014<\/span><\/span><\/span>\u4f5c\u8005<\/span><\/span><\/span><\/span><\/strong>\u987b\u4e3a<\/span><\/span><\/span><\/span>\u5728\u6821\u5b66\u751f<\/span><\/span><\/span><\/span><\/strong>\u3002<\/span><\/span><\/span><\/span><\/span><\/p>\n

4\uff0e\u4e3a\u907f\u514d\u91cd\u590d\u83b7\u5956\uff0c\u5df2\u83b7\u5f97\u5176\u4ed6\u76f8\u5173\u56fd\u9645\u56fd\u5185\u5b66\u672f\u4f1a\u8bae\u6216\u534f\u4f1a\u5956\u9879\u7684\u6587\u7ae0\u4e0d\u4e88\u53c2\u8bc4\u4f18\u79c0\u8bba\u6587\uff0c\u5c06\u88ab\u5217\u4e3a<\/span><\/span><\/span>Spotlight Paper<\/span><\/span><\/span>\u3002<\/span><\/span><\/span><\/span><\/span><\/p>\n

\u73b0\u5f00\u59cb\u5f81\u96c6<\/span><\/span><\/span><\/span>2025<\/span><\/span><\/span>\u7b2c\u5341\u4e94\u5c4a\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae<\/span><\/span><\/span><\/span>\u5899\u62a5\uff08<\/span><\/span><\/span><\/span>Poster<\/span><\/span><\/span>\uff09<\/span><\/span><\/span><\/span>\uff0c\u5f81\u96c6\u8303\u56f4\u9650\u5b9a\u4e3a<\/span><\/span><\/span><\/span>2024<\/span><\/span><\/span><\/strong>\u5e74<\/span><\/span><\/span><\/span><\/strong>\u4ee5\u6765\u53d1\u8868\uff0f\u5f55\u7528\u7684\u9876\u4f1a\u9876\u520a\u8bba\u6587\uff08\u9700\u7535\u5b50\u6570\u636e\u5e93\u53ef\u67e5\uff09\uff0c\u5efa\u8bae\u671f\u520a\u548c\u4f1a\u8bae\u5217\u8868\u5982\u4e0b<\/span><\/span><\/span>:<\/span><\/span><\/span><\/span><\/p>\n

\u00b7<\/span><\/span><\/span>\u671f\u520a\uff1a<\/span><\/span><\/span><\/span>Nature<\/span><\/span><\/span>\u53ca\u5b50\u520a\u3001<\/span><\/span><\/span><\/span>IEEE TPAMI, IJCV, JMLR, IEEE TIP, IEEE TNNLS, IEEE TCSVT, IEEE TMM, ACM TOG, IEEE TVCG, IEEE TMI, IEEE TGRS<\/span><\/span><\/span>\u7b49<\/span><\/span><\/span><\/span><\/span><\/p>\n

\u00b7<\/span><\/span><\/span>\u4f1a\u8bae\uff1a<\/span><\/span><\/span><\/span>CV<\/span><\/span><\/span>PR<\/span><\/span><\/span><\/span>, ICCV, Neur<\/span><\/span><\/span>I<\/span><\/span><\/span><\/span>PS, ICML, ECCV, AAAI, IJCAI, ICLR, ACM<\/span><\/span><\/span><\/span>MM, SIGGRAPH, SIGGRAPH Asia, MICCAI<\/span><\/span><\/span>\u7b49<\/span><\/span><\/span><\/span><\/span><\/p>\n

\u62a5\u540d\u65b9\u5f0f\u53ca\u8054\u7cfb\u65b9\u5f0f<\/span><\/span><\/span><\/strong><\/strong><\/p>\n

\u5982\u60a8\u6709\u610f\u5c55\u793a\u60a8\u7684\u6700\u65b0\u79d1\u7814\u8fdb\u5c55\u5e76\u53c2\u4e0e\u8bc4\u5956\uff0c\u8bf7\u4e8e<\/span><\/span><\/span><\/span>2025\u5e7411\u6708<\/span><\/span><\/span><\/strong>30<\/span><\/span><\/span><\/span><\/strong>\u65e5\u524d<\/span><\/span><\/span><\/span><\/strong>\u5728\u7ebf\u586b\u5199\u62a5<\/span><\/span><\/span><\/span>\u540d\u8868\u5355\uff0c\u5e76\u6839\u636e\u5b98\u7f51\u63d0\u4f9b\u7684<\/span><\/span><\/span>Poster\u683c\u5f0f\u4e0e\u6837\u4f8b\u8fdb\u884c\u5236\u4f5c\uff0c\u8fde\u540c\u8bba\u6587\u4e00\u8d77\u53d1\u9001\u81f3<\/span><\/span><\/span>lnn0200@163.com<\/span><\/span><\/span>\uff08\u90ae\u4ef6\u547d\u540d\uff1a\u5899\u62a5\u8bc4\u9009<\/span><\/span><\/span>+\u5355\u4f4d+\u7b2c\u4e00\u4f5c\u8005\uff09<\/span><\/span><\/span><\/span>, \u7ec4\u59d4\u4f1a\u5c06\u4e8e<\/span><\/span><\/span>1<\/span><\/span><\/span><\/strong>2<\/span><\/span><\/span><\/span><\/strong>\u6708<\/span><\/span><\/span><\/span><\/strong>1<\/span><\/span><\/span><\/span><\/strong>0\u65e5<\/span><\/span><\/span><\/strong>\u524d\u90ae\u4ef6\u53cd\u9988\u5165\u9009\u4fe1\u606f<\/span><\/span><\/span><\/span>\uff0c<\/span><\/span><\/span><\/span>\u5165\u9009\u7684<\/span><\/span><\/span><\/span>Poster<\/span><\/span><\/span>\u5fc5\u987b\u5b8c\u6210\u4f1a\u8bae\u6ce8\u518c<\/span><\/span><\/span><\/span>\u3002<\/span><\/span><\/span><\/span><\/span><\/p>\n


<\/span><\/p>\n

\u62a5\u540d\u94fe\u63a5\uff1a<\/span><\/span><\/span><\/span>https:\/\/docs.qq.com\/form\/page\/DWWF2ekxGZmppT0RG<\/span><\/span><\/span><\/span><\/p>\n

1.\u4e8c\u7ef4\u7801\u626b\u7801\u586b\u5199\u62a5\u540d\u5355\uff1a<\/span><\/span><\/span><\/p>\n

\"\u56fe\u7247\"<\/section>\n

2\uff0e<\/span><\/span><\/span><\/span>\u5b98\u7f51\u94fe\u63a5\u67e5\u770b<\/span><\/span><\/span><\/span>Poster<\/span><\/span><\/span>\u683c\u5f0f\u89c4\u5b9a\u4e0e\u6837\u4f8b<\/span><\/span><\/span><\/span><\/span><\/p>\n

\u5f81\u6587\u6a21\u677f\u94fe\u63a5\uff1a<\/span><\/span><\/span><\/span>https:\/\/docs.qq.com\/slide\/DWXBmVVNJT01vS251<\/span><\/span><\/span><\/span>
<\/span><\/p>\n

\"\u56fe\u7247\"<\/section>\n

\u8054\u7cfb\u65b9\u5f0f<\/span><\/span><\/span><\/strong><\/strong><\/p>\n

\u8054\u7cfb\u4eba\uff1a\u5d14\u91d1\u8363\u3001\u5218\u7426\u3001\u80e1\u5efa\u82b3<\/span><\/span><\/span><\/span><\/p>\n

\u8054\u7cfb\u90ae\u7bb1\uff1a<\/span><\/span><\/span><\/span>lnn0200@163.com<\/span><\/span><\/span><\/span><\/span>\uff08\u90ae\u4ef6\u547d\u540d\uff1a\u5899\u62a5\u8bc4\u9009<\/span><\/span><\/span>+\u5355\u4f4d+\u7b2c\u4e00\u4f5c\u8005\uff09<\/span><\/span><\/span><\/span><\/p>\n

\u4f1a\u8bae\u4e00\u89c8\u8868<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n

<\/span><\/section>\n<\/section>\n
\n

<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

\u65f6\u95f4<\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n

\n

\u62a5\u544a\u9898\u76ee<\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n

\n

\u62a5\u544a\u4eba<\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

2025<\/span><\/strong>\u5e74<\/span><\/strong>12<\/span><\/strong>\u6708<\/span><\/strong>13\u65e5<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

8<\/span>\uff1a<\/span><\/span>00-8<\/span><\/span>\uff1a<\/span><\/span>40<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u7b7e\u5230<\/span><\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

8<\/span>\uff1a<\/span><\/span>40-9<\/span><\/span>\uff1a<\/span><\/span>00<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u5f00\u5e55\u5f0f<\/span><\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

9<\/span>\uff1a<\/span><\/span>00-9<\/span><\/span>\uff1a<\/span><\/span>30<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Blind Deconvolution for Color Images Using Normalized Quaternion Kernels<\/span><\/p>\n<\/td>\n

\n

\u5434\u56fd\u5b9d\uff08\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

9<\/span>\uff1a<\/span><\/span>30-10<\/span><\/span>\uff1a<\/span><\/span>00<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u7269\u7406\u7a7a\u95f4\u667a\u80fd\u82e5\u5e72\u8fdb\u5c55\uff1a\u6846\u67b6\u3001\u6a21\u578b\u4e0e\u57fa\u51c6<\/span><\/p>\n<\/td>\n

\n

\u6797\u501e\uff08\u4e2d\u5c71\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

10<\/span>\uff1a<\/span><\/span>00-10<\/span><\/span>\uff1a<\/span><\/span>05<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u5408\u5f71<\/span><\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

10<\/span>\uff1a<\/span><\/span>05-10<\/span><\/span>\uff1a<\/span><\/span>20<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u8336\u6b47<\/span><\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

10<\/span>\uff1a<\/span><\/span>20-10<\/span><\/span>\uff1a<\/span><\/span>50<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u4ece\u89c6\u89c9\u8868\u5f81\u6a21\u578b\u8bbe\u8ba1\u5230\u89c6\u89c9\u667a\u80fd\u4f53\u6784\u5efa<\/span><\/p>\n<\/td>\n

\n

\u53f6\u9f50\u7965\uff08\u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

10<\/span>\uff1a<\/span><\/span>50-11<\/span><\/span>\uff1a<\/span><\/span>20<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u8bba<\/span>\u4e16\u754c\u6a21\u578b\u4e0e\u89c4\u6a21\u5b9a\u5f8b<\/span><\/p>\n<\/td>\n

\n

\u5f20\u5146\u7fd4\uff08\u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

11<\/span>\uff1a<\/span><\/span>20-11<\/span><\/span>\uff1a<\/span><\/span>50<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u4e8b\u4ef6\u76f8\u673a\u89c6\u89c9\uff1a\u8fd0\u52a8\u611f\u77e5\u4e0e\u751f\u6210<\/span><\/p>\n<\/td>\n

\n

\u6234\u7389\u8d85\uff08\u897f\u5317\u5de5\u4e1a\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u5348\u4f11<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

14<\/span>\uff1a<\/span><\/span>30-15<\/span><\/span>\uff1a<\/span><\/span>00<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u4eba\u8138\u611f\u77e5\uff1a\u7531\u5916\u81f3\u5185<\/span><\/p>\n<\/td>\n

\n

\u94b1\u5efa\u519b\uff08\u5357\u4eac\u7406\u5de5\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

15<\/span>\uff1a<\/span><\/span>00-15<\/span><\/span>\uff1a<\/span><\/span>30<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u5148\u8fdb\u4e09\u7ef4\u89c6\u89c9\u611f\u77e5<\/span><\/p>\n<\/td>\n

\n

\u5218\u8d24\u660e\uff08\u4efb\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

15<\/span>\uff1a<\/span><\/span>30-16<\/span><\/span>\uff1a<\/span><\/span>00<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u6df7\u5143<\/span><\/span>3D\u7814\u53d1\u5e03\u5c40\u4e0e\u5e94\u7528<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u97e9\u6b23\u5f64\uff08\u817e\u8baf\u516c\u53f8\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

16<\/span>\uff1a<\/span><\/span>00-16<\/span><\/span>\uff1a<\/span><\/span>15<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u8336\u6b47<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

16<\/span>\uff1a<\/span><\/span>15-16<\/span><\/span>\uff1a<\/span><\/span>45<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

AIGC<\/span>\u65f6\u4ee3\u7684\u6e38\u620f\u6570\u5b57\u5185\u5bb9\u751f\u6210<\/span><\/p>\n<\/td>\n

\n

\u6797\u92ee\uff08\u6fb3\u95e8\u79d1\u6280\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

16<\/span>\uff1a<\/span><\/span>45-17<\/span><\/span>\uff1a<\/span><\/span>15<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Towards Generalizable and Intelligent System for Robotic Manipulation<\/span><\/p>\n<\/td>\n

\n

\u674e\u5f18\u626c\uff08\u9999\u6e2f\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

19<\/span>\uff1a<\/span>00~21<\/span>:<\/span><\/span>00<\/span><\/p>\n<\/td>\n

\n

\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a\u7406\u4e8b\u4f1a\u53ca\u5e38\u52a1\u7406\u4e8b\u4f1a\u4f1a\u8bae<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

2025\u5e7412\u670814\u65e5<\/span><\/span><\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

9<\/span>\uff1a<\/span><\/span>00-10<\/span><\/span><\/span>\uff1a<\/span>00<\/span><\/p>\n<\/td>\n

\n

2025<\/span>\u9876\u520a\u9876\u4f1a\u7cbe\u9009\u8bba\u6587\u5899\u62a5\u5c55\u793a<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

10<\/span>\uff1a<\/span><\/span>00-11<\/span><\/span><\/span>\uff1a<\/span>30<\/span><\/p>\n<\/td>\n

\n

\u4e92\u52a8\u4e13\u9898\uff1a\u5982\u4f55\u6cbb\u6108\u8bfb\u7814\u7126\u8651\uff1f<\/span><\/p>\n<\/td>\n

\n

\u97e9\u6653\u5149\uff08\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff08\u6df1\u5733\uff09\uff09<\/span><\/p>\n

\u4e8e\u4ed5\u742a\uff08\u5357\u65b9\u79d1\u6280\u5927\u5b66\uff09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

11<\/span>\uff1a<\/span><\/span>30-12<\/span><\/span><\/span>\uff1a<\/span>00<\/span><\/p>\n<\/td>\n

\n

\u4f18\u79c0\u5899\u62a5\u9881\u5956<\/span><\/span>+\u95ed\u5e55\u5f0f<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

<\/p>\n

\u4f1a\u8bae\u6ce8\u518c<\/span><\/p>\n

\n

1.\u00a0\u6ce8\u518c\u65f6\u95f4\u53ca\u7f34\u8d39\u6807\u51c6<\/span><\/span><\/strong><\/p>\n<\/section>\n

<\/p>\n

\n

<\/span><\/section>\n<\/section>\n
\n
\"\u56fe\u7247\"<\/section>\n


<\/span><\/strong><\/p>\n

2.\u6ce8\u518c\u65b9\u5f0f<\/span><\/strong><\/p>\n<\/section>\n

\n

\u901a\u8fc7\u4ee5\u4e0b\u4e24\u79cd\u4efb\u610f\u4e00\u79cd\u65b9\u5f0f\u8fdb\u884c\u6ce8\u518c<\/span><\/p>\n

\uff081\uff09\u626b\u63cf\u4e8c\u7ef4\u7801\uff1a<\/span><\/p>\n<\/section>\n

\n
\"\u56fe\u7247\"<\/section>\n

<\/span><\/section>\n<\/section>\n
\n

\uff082\uff09\u7f51\u9875\u7aef\u901a\u8fc7\u94fe\u63a5\u6ce8\u518c\uff1a<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/span>https:\/\/wj.qq.com\/s2\/24621614\/a0ed\/<\/span><\/p>\n


<\/span><\/p>\n<\/section>\n

\n

3.\u7f34\u8d39\u65b9\u5f0f<\/span><\/strong><\/p>\n

1. \u5fae\u4fe1\u3001\u652f\u4ed8\u5b9d\u3001\u6216\u7ebf\u4e0b\u8f6c\u8d26\u6c47\u6b3e\u65b9\u5f0f\uff08\u5177\u4f53\u89c1\u6ce8\u518c\u65f6\u5f15\u5bfc\u5185\u5bb9\uff09\u3002<\/span><\/p>\n

2. \u4ed8\u6b3e\u65f6\u8bf7\u52a1\u5fc5\u9644\u8a00\u5907\u6ce8\uff1a\u59d3\u540d+\u5355\u4f4d\u3002<\/span><\/p>\n

3. \u7f34\u8d39\u540e\u9700\u4e0a\u4f20\u4ed8\u6b3e\u51ed\u8bc1\u622a\u56fe\u3002<\/span><\/p>\n


<\/span><\/p>\n

4.\u53d1\u7968\u5f00\u5177<\/span><\/strong><\/p>\n

\u4f1a\u8bae\u53d1\u7968\u7531\u4f1a\u52a1\u516c\u53f8\uff1a<\/span>\u5e7f\u5dde\u8861\u7ca4\u6587\u5316\u4f20\u64ad\u6709\u9650\u516c\u53f8\u5f00\u5177<\/span><\/p>\n<\/section>\n

\n


<\/span><\/p>\n

5.\u8054\u7cfb\u65b9\u5f0f<\/span><\/span><\/strong><\/p>\n

\u6ce8\u518c\u7f34\u8d39\u4ee5\u53ca\u53d1\u7968\u76f8\u5173\uff1a<\/span>\u5f6d\u742a<\/span>13622760510<\/span>\uff08<\/span>\u5fae\u4fe1\u540c\u53f7<\/span>\uff09<\/span><\/span><\/span><\/span><\/span><\/p>\n<\/section>\n

<\/p>\n

\n
\n
\n
\n


<\/span><\/p>\n


<\/span><\/p>\n


<\/span><\/section>\n

<\/p>\n<\/section>\n<\/section>\n<\/section>\n

\n
<\/section>\n<\/section>\n<\/section>\n<\/section>\n

<\/p>\n

\u63d0\u793a\uff1a\u62a5\u201c\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae\u201d\u53ef\u4eab\u4ee5\u4e0b\u4f18\u60e0\u4ef7\u683c\u3002<\/span><\/p>\n

<\/p>\n


<\/span><\/section>\n
\"\u56fe\u7247\"<\/section>\n
<\/section>\n
\"image.png\"<\/section>\n
<\/section>\n
\n
\n
\n

\u4e3b\u529e\u5355\u4f4d<\/strong><\/p>\n<\/section>\n

<\/p>\n

\n

<\/span><\/section>\n
\"\u56fe\u7247\"<\/section>\n<\/section>\n

<\/p>\n

\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a<\/span><\/p>\n

<\/p>\n

\n


<\/strong><\/p>\n

\u627f\u529e\u5355\u4f4d<\/strong><\/p>\n

\u534e\u5357\u7406\u5de5\u5927\u5b66<\/span>\u8f6f\u4ef6\u5b66\u9662\u3001\u7535\u5b50\u4e0e\u4fe1\u606f\u5b66\u9662<\/span><\/p>\n

\n
\n


<\/strong><\/p>\n

\u8054\u5408\u627f\u529e\u5355\u4f4d<\/strong><\/p>\n

CSIG\u5e7f\u5dde\u4f1a\u5458\u6d3b\u52a8\u4e2d\u5fc3<\/span><\/p>\n<\/section>\n<\/section>\n


<\/strong><\/p>\n

\u534f\u529e\u5355\u4f4d<\/strong><\/p>\n

\u7436\u6d32\u5b9e\u9a8c\u5ba4<\/span><\/p>\n

CSIG<\/span>\u751f\u7269\u7279\u5f81\u8bc6\u522b\u4e13\u4e1a\u59d4\u5458\u4f1a\uff08\u7b79\uff09<\/span><\/p>\n<\/section>\n

<\/p>\n

<\/p>\n<\/section>\n<\/section>\n

<\/p>\n

\"image.png\"<\/p>\n","protected":false},"excerpt":{"rendered":"

\u7b2c\u5341\u4e94\u5c4a\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae\u5c06\u4e8e2025\u5e7412\u670813\u65e5-14\u65e5\u5728\u534e\u5357\u7406\u5de5\u5927\u5b66\u5927\u5b66\u57ce\u6821\u533a\u4e3e\u529e\u3002\u672c\u5c4a\u4f1a\u8bae\u7531\u5e7f\u4e1c\u7701\u56fe\u8c61\u56fe\u5f62\u5b66\u4f1a\u4e3b\u529e\uff0c\u534e\u5357\u7406\u5de5\u5927\u5b66\u8f6f\u4ef6\u5b66\u9662\u3001\u534e\u5357\u7406\u5de5\u5927\u5b66\u7535\u5b50\u4e0e\u4fe1\u606f\u5b66\u9662\u3001CSIG\u5e7f\u5dde\u4f1a\u5458\u6d3b\u52a8\u4e2d\u5fc3\u627f\u529e\uff0c\u7436\u6d32\u5b9e\u9a8c\u5ba4\u3001CSIG\u751f\u7269\u7279\u5f81\u8bc6\u522b\u4e13\u4e1a\u59d4\u5458\u4f1a\uff08\u7b79\uff09\u534f\u529e\u3002\u7ca4\u6e2f\u6fb3\u56fe\u8c61\u56fe\u5f62\u5b66\u672f\u4f1a\u8bae\uff08Guangdong-Hong Kong-Macao Confere<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1267","post","type-post","status-publish","format-standard","hentry","category-s9"],"_links":{"self":[{"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/posts\/1267","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/comments?post=1267"}],"version-history":[{"count":0,"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/posts\/1267\/revisions"}],"wp:attachment":[{"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/media?parent=1267"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/categories?post=1267"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/test.gdsig.cn\/index.php\/wp-json\/wp\/v2\/tags?post=1267"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}