{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T18:25:38Z","timestamp":1770056738596,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","funder":[{"name":"National Social Science Fund of China","award":["25AC006"],"award-info":[{"award-number":["25AC006"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,12]]},"DOI":"10.1145\/3784833.3784857","type":"proceedings-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T05:22:31Z","timestamp":1770009751000},"page":"105-113","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deformable Attention-Optimized Swin Transformer for Image Aesthetic Assessment"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5992-2400","authenticated-orcid":false,"given":"Xiaofa","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Intelligent Imagery Engineering, Beijing Film Academy, Beijing, China and School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0728-3675","authenticated-orcid":false,"given":"Jiajing","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6036-4745","authenticated-orcid":false,"given":"Jie","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Film and Television Culture, Beijing Jingbei Vocational College, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6063-2671","authenticated-orcid":false,"given":"Jun","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Intelligent Imagery Engineering, Beijing Film Academy, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2873-2796","authenticated-orcid":false,"given":"Yunpeng","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2026,2]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"B.Li. 2011. Massive image data management based on Hadoop. Master\u2019s thesis. East China Normal University."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"e_1_3_3_1_4_2","unstructured":"J.Li W.Wang and E.Li. 2023. Aesthetic evaluation of computer image based on lightweight network model Software. Software 44 04 (2023) 94\u2013101."},{"key":"e_1_3_3_1_5_2","unstructured":"J.Song. 2023. Research on Semantic-Assisted Image aesthetic quality assessment based on self-supervised learning. Master\u2019s thesis. Donghua University."},{"key":"e_1_3_3_1_6_2","unstructured":"K.Cheng. 2024. Research on image aesthetic quality assessment algorithms based on deep learning. Master\u2019s thesis. Xidian University."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00510"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00081"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Xin Lu Zhe Lin Hailin Jin Jianchao Yang and James\u00a0Z. Wang. 2014. RAPID: Rating Pictorial Aesthetics using Deep Learning. Association for Computing Machinery New York NY USA. 10.1145\/2647868.2654927","DOI":"10.1145\/2647868.2654927"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.84"},{"key":"e_1_3_3_1_12_2","unstructured":"R.huang J.song S.zhou and H.Liu. 2024. Image aesthetic quality assessment method based on self-supervised vision transformer. Computer Applications 44 04 (2024) 1269\u20131276."},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00475"},{"key":"e_1_3_3_1_14_2","unstructured":"X.Meng H.Xu and Y.Xiu. 2024. Research on image aesthetic quality evaluation method based on deep feature fusion. Software 45 06 (2024) 89\u201395."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506075"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","unstructured":"Hancheng Zhu Yong Zhou Zhiwen Shao Wen-Liang Du Jiaqi Zhao and Rui Yao. 2022. ARET-IQA: An Aspect-Ratio-Embedded Transformer for Image Quality Assessment. Electronics 11 14 (2022). 10.3390\/electronics11142132","DOI":"10.3390\/electronics11142132"}],"event":{"name":"ICCIP 2025: 2025 the 11th International Conference on Communication and Information Processing","location":"Lingshui Hainan China","acronym":"ICCIP 2025"},"container-title":["Proceedings of the 2025 11th International Conference on Communication and Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3784833.3784857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T07:45:48Z","timestamp":1770018348000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3784833.3784857"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,12]]},"references-count":15,"alternative-id":["10.1145\/3784833.3784857","10.1145\/3784833"],"URL":"https:\/\/doi.org\/10.1145\/3784833.3784857","relation":{},"subject":[],"published":{"date-parts":[[2025,11,12]]},"assertion":[{"value":"2026-02-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}