{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:12Z","timestamp":1750220532418,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,2,24]]},"DOI":"10.1145\/3456126.3456141","type":"proceedings-article","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T16:39:49Z","timestamp":1624984789000},"page":"123-129","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Weight of Adaptive Information Density Network for Image Super-Resolution"],"prefix":"10.1145","author":[{"given":"Chengcheng","family":"Wang","sequence":"first","affiliation":[{"name":"Southeast University, China"}]},{"given":"Yanpeng","family":"Cao","sequence":"additional","affiliation":[{"name":"Southeast University, China"}]},{"given":"Feng","family":"Yu","sequence":"additional","affiliation":[{"name":"Southeast University, China"}]},{"given":"Yongming","family":"Tang","sequence":"additional","affiliation":[{"name":"Southeast University, China"}]}],"member":"320","published-online":{"date-parts":[[2021,6,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2017.108"},{"volume-title":"Deformable kernels: Adapting effective receptive fields for object deformation.\u00a0arXiv preprint arXiv:1910.02940","year":"2019","author":"Gao H.","key":"e_1_3_2_1_6_1"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.11.011"},{"issue":"6","key":"e_1_3_2_1_8_1","first-page":"736","article-title":"Research on the evaluation function of digital image sharpness","volume":"31","author":"Li Qi","year":"2002","journal-title":"Acta Photonica Sinica"},{"volume-title":"Evaluation of sharpness measures and search algorithms for the auto-focusing of high-magnification images. In\u00a0Visual Information Processing XV\u00a0(Vol. 6246","author":"Yao Y.","key":"e_1_3_2_1_9_1"},{"volume-title":"Evaluation of autofocus algorithm for automatic dectection of caenorhabditis elegans lipid droplets.\u00a0Progress in Biochemistry and Biophysics (PBB),\u00a043, 167-175","year":"2016","author":"Zhang X.","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Kim Y. Choi J. S. & Kim M. (2018). A real-time convolutional neural network for super-resolution on fpga with applications to 4k uhd 60 fps video services.\u00a0IEEE Transactions on Circuits and Systems for Video Technology \u00a029(8) 2521-2534.  Kim Y. Choi J. S. & Kim M. (2018). A real-time convolutional neural network for super-resolution on fpga with applications to 4k uhd 60 fps video services.\u00a0IEEE Transactions on Circuits and Systems for Video Technology \u00a029(8) 2521-2534.","DOI":"10.1109\/TCSVT.2018.2864321"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2018.00036"},{"volume-title":"A threshold selection method from gray-level histograms.\u00a0IEEE transactions on systems, man, and cybernetics,\u00a09(1), 62-66","year":"1979","author":"Otsu N.","key":"e_1_3_2_1_14_1"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"volume-title":"Multi-scale context aggregation by dilated convolutions.\u00a0arXiv preprint arXiv:1511.07122","year":"2015","author":"Yu F.","key":"e_1_3_2_1_16_1"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications.\u00a0arXiv preprint arXiv:1704.04861","year":"2017","author":"Howard A. G.","key":"e_1_3_2_1_19_1"}],"event":{"name":"ASSE '21: 2021 2nd Asia Service Sciences and Software Engineering Conference","acronym":"ASSE '21","location":"Macau Macao"},"container-title":["2021 2nd Asia Service Sciences and Software Engineering Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3456126.3456141","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3456126.3456141","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:58Z","timestamp":1750195498000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3456126.3456141"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,24]]},"references-count":19,"alternative-id":["10.1145\/3456126.3456141","10.1145\/3456126"],"URL":"https:\/\/doi.org\/10.1145\/3456126.3456141","relation":{},"subject":[],"published":{"date-parts":[[2021,2,24]]},"assertion":[{"value":"2021-06-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}