{"id":647,"date":"2023-10-07T10:09:40","date_gmt":"2023-10-07T02:09:40","guid":{"rendered":"http:\/\/124.221.8.228\/?page_id=647"},"modified":"2023-10-07T10:13:30","modified_gmt":"2023-10-07T02:13:30","slug":"2023%e5%b9%b4%e5%8f%91%e8%a1%a8%e8%ae%ba%e6%96%87","status":"publish","type":"page","link":"http:\/\/106.54.160.89\/index.php\/2023%e5%b9%b4%e5%8f%91%e8%a1%a8%e8%ae%ba%e6%96%87\/","title":{"rendered":"2023\u5e74"},"content":{"rendered":"\n
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PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Hanyun Huang, Shuyi Kong, Yanhong Liu, Hongnian Yu<\/p>\n\n\n\n

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1109\/TITS.2023.3287533<\/p>\n<\/div>\n\n\n\n

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TMA-Net: A Transformer-based Multi-scale Attention Network for Surgical Instrument Segmentation<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Hongyong Wang, Yuge Gu, Guibin Bian, Yanhong Liu, Hongnian Yu<\/p>\n\n\n\n

IEEE Transactions on Medical Robotics and Bionics.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1109\/TMRB.2023.3269856<\/p>\n<\/div>\n\n\n\n

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A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction<\/a><\/strong><\/p>\n\n\n\n

Yanhong Liu, Xingyu Li, Lei Yang, Guibin Bian, Hongnian Yu<\/p>\n\n\n\n

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1109\/TIM.2023.3273651<\/p>\n<\/div>\n\n\n\n

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GDF-Net: A multi-task symmetrical network for retinal vessel segmentation<\/a><\/strong><\/p>\n\n\n\n

Jianyong Li, Ge Gao, Lei Yang, Yanhong Liu<\/p>\n\n\n\n

Biomedical Signal Processing and Control.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.bspc.2022.104426<\/p>\n<\/div>\n\n\n\n

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An Automatic Medical Image Segmentation Approach via Dual-Branch Network<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Hanyun Huang, Suli Bai, Yanhong Liu<\/p>\n\n\n\n

2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT).2023<\/strong><\/em><\/p>\n\n\n\n

DOI\uff1a10.1109\/ACAIT56212.2022.10137944<\/p>\n<\/div>\n\n\n\n

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CFHA-Net: A polyp segmentation method with cross-scale fusion strategy and hybrid attention<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Chenxu Zhai, Yanhong Liu*, Hongnian Yu<\/p>\n\n\n\n

COMPUTERS IN BIOLOGY AND MEDICINE.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.compbiomed.2023.107301<\/p>\n<\/div>\n\n\n\n

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Multi-scale triple-attention network for pixelwise crack segmentation<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Suli Bai, Yanhong Liu, Hongnian Yu<\/p>\n\n\n\n

AUTOMATION IN CONSTRUCTION.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.autcon.2023.104853<\/p>\n<\/div>\n\n\n\n

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MAGF-Net: A multiscale attention-guided fusion network for retinal vessel segmentation<\/a><\/strong><\/p>\n\n\n\n

Jianyong Li, Ge Gao, Yanhong Liu, Lei Yang<\/p>\n\n\n\n

MEASUREMENT.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.measurement.2022.112316<\/p>\n<\/div>\n\n\n\n

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DRA-Net: A Dual-Branch Residual Attention Network for Pixelwise Power Line Detection<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Shuyi Kong, Heng Li, Jiahui Deng, Yanhong Liu<\/p>\n\n\n\n

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1109\/TIM.2023.3259047<\/p>\n<\/div>\n\n\n\n

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MAF-Net: A multi-scale attention fusion network for automatic surgical instrument segmentation<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Yuge Gu, Guibin Bian, Yanhong Liu<\/p>\n\n\n\n

Biomedical Signal Processing and Control.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.bspc.2023.104912<\/p>\n<\/div>\n\n\n\n

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A Lightweight Dynamic Gesture Recognition Network with Spatio-Temporal Attention<\/a><\/strong><\/p>\n\n\n\n

Xingyu Li, Lei Yang, Yanhong Liu<\/p>\n\n\n\n

International Conference on Advanced Robotics and Mechatronics (ICARM).<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1109\/ICARM58088.2023.10218817<\/p>\n<\/div>\n\n\n\n

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\u53cc\u7f16\u7801\u7279\u5f81\u6ce8\u610f\u7f51\u7edc\u7684\u624b\u672f\u5668\u68b0\u5206\u5272<\/strong><\/p>\n\n\n\n

\u6768\u78ca, \u8c37\u7389\u683c, \u8fb9\u6842\u5f6c, \u5218\u8273\u7ea2<\/p>\n\n\n\n

\u4e2d\u56fd\u56fe\u8c61\u56fe\u5f62\u5b66\u62a5.<\/em>2023<\/strong><\/p>\n<\/div>\n\n\n\n

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DPF-Net: A Dual-Path Progressive Fusion Network for Retinal Vessel Segmentation<\/a><\/strong><\/p>\n\n\n\n

Jianyong Li, Ge Gao, Lei Yang, Guibin Bian and Yanhong Liu<\/p>\n\n\n\n

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT.<\/em>2023<\/strong><\/p>\n<\/div>\n\n\n\n

DOI\uff1a10.1109\/TIM.2023.3277946<\/p>\n\n\n\n

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A Deep Segmentation Network for Crack Detection with Progressive and Hierarchical Context Fusion<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Hanyun Huang, Shuyi Kong, Yanhong Liu<\/p>\n\n\n\n

Journal of Building Engineering.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.jobe.2023.106886<\/p>\n<\/div>\n\n\n\n

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A novel sEMG-based dynamic hand gesture recognition approach via residual attention network<\/a><\/strong><\/p>\n\n\n\n

Yanhong Liu, Xingyu Li, Hongnian Yu and Lei Yang<\/p>\n\n\n\n

MULTIMEDIA TOOLS AND APPLICATIONS.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1007\/s11042-023-15748-5<\/p>\n<\/div>\n\n\n\n

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A pixel-level deep segmentation network for automatic defect detection<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Shuai Xu, Junfeng Fan, En Li, Yanhong Liu<\/p>\n\n\n\n

EXPERT SYSTEMS WITH APPLICATIONS.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.eswa.2022.119388<\/p>\n<\/div>\n\n\n\n

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A novel vision-based defect detection method for hot-rolled steel strips via multi-branch network<\/a><\/strong><\/p>\n\n\n\n

Lei Yang, Xingyu Li and Yanhong Liu<\/p>\n\n\n\n

MULTIMEDIA TOOLS AND APPLICATIONS.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1007\/s11042-023-15753-8<\/p>\n<\/div>\n\n\n\n

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ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images<\/a><\/strong><\/p>\n\n\n\n

Yanhong Liu, Ji Shen, Lei Yang, Guibin Bian, Hongnian Yu<\/p>\n\n\n\n

Biomedical Signal Processing and Control.<\/em>2023<\/strong><\/p>\n\n\n\n

DOI\uff1a10.1016\/j.bspc.2022.104087<\/p>\n<\/div>\n\n\n\n

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

PAF-Net: A Progressive and Adaptive Fusion Network for […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-647","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/pages\/647","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/comments?post=647"}],"version-history":[{"count":4,"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/pages\/647\/revisions"}],"predecessor-version":[{"id":652,"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/pages\/647\/revisions\/652"}],"wp:attachment":[{"href":"http:\/\/106.54.160.89\/index.php\/wp-json\/wp\/v2\/media?parent=647"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}