{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T15:04:35Z","timestamp":1780758275946,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2020-05873"],"award-info":[{"award-number":["RGPIN-2020-05873"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3488933.3489017","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:36:59Z","timestamp":1645789019000},"page":"346-353","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Floor Plan Semantic Segmentation Using Deep Learning with Boundary Attention Aggregated Mechanism"],"prefix":"10.1145","author":[{"given":"Zhongguo","family":"Xu","sequence":"first","affiliation":[{"name":"University of Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salah","family":"Alheejawi","sequence":"additional","affiliation":[{"name":"University of Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naresh","family":"Jha","sequence":"additional","affiliation":[{"name":"University of Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Syed","family":"Mehadi","sequence":"additional","affiliation":[{"name":"Clinisys EMR Inc., Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mrinal","family":"Mandal","sequence":"additional","affiliation":[{"name":"University of Alberta, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3441250.3441265"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00919"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1815330.1815352"},{"key":"e_1_3_2_1_4_1","volume-title":"Improved Automatic Analysis of Architectural Floor Plans. In\u00a0International Conference on Document Analysis and Recognition, 864-869","author":"Ahmed Sheraz","year":"2011","unstructured":"Sheraz Ahmed , Marcus Liwicki , Markus Weber , and Andreas Dengel . 2011 . Improved Automatic Analysis of Architectural Floor Plans. In\u00a0International Conference on Document Analysis and Recognition, 864-869 . Sheraz Ahmed, Marcus Liwicki, Markus Weber, and Andreas Dengel. 2011. Improved Automatic Analysis of Architectural Floor Plans. In\u00a0International Conference on Document Analysis and Recognition, 864-869."},{"key":"e_1_3_2_1_5_1","first-page":"1245","volume-title":"Unsupervised Wall Detector in Architectural Floor Plans. In 12th International Conference on Document Analysis and Recognition","author":"de las Heras Llu\u00eds-Pere","year":"2013","unstructured":"Llu\u00eds-Pere de las Heras , David Fern\u00e1ndez , Ernest Valveny , Josep Llad\u00f3s , and Gemma S\u00e1nchez . 2013 . Unsupervised Wall Detector in Architectural Floor Plans. In 12th International Conference on Document Analysis and Recognition , Washington, DC, USA , 1245 - 1249 . Llu\u00eds-Pere de las Heras, David Fern\u00e1ndez, Ernest Valveny, Josep Llad\u00f3s, and Gemma S\u00e1nchez. 2013. Unsupervised Wall Detector in Architectural Floor Plans. In 12th International Conference on Document Analysis and Recognition, Washington, DC, USA, 1245-1249."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Llu\u00eds-Pere de las Heras Sheraz Ahmed Marcus Liwicki Ernest Valveny and Gemma S\u00e1nchez. 2014.\u00a0Statistical segmentation and structural recognition for floor plan interpretation.\u00a0IJDAR\u00a017 \u00a0221\u2013237.  Llu\u00eds-Pere de las Heras Sheraz Ahmed Marcus Liwicki Ernest Valveny and Gemma S\u00e1nchez. 2014.\u00a0Statistical segmentation and structural recognition for floor plan interpretation.\u00a0IJDAR\u00a017 \u00a0221\u2013237.","DOI":"10.1007\/s10032-013-0215-2"},{"key":"e_1_3_2_1_7_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. Computer Vision and Pattern Recognition 770\u2013778.  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. Computer Vision and Pattern Recognition 770\u2013778."},{"key":"e_1_3_2_1_8_1","volume-title":"In\u00a0Proceedings of the AAAI Conference on Artificial Intelligence, 31","author":"Hand Emily","year":"2017","unstructured":"Emily Hand and Rama Chellappa . 2017 . Attributes for improved attributes: A multi-task network utilizing implicit and explicit relationships for facial attribute classification . In\u00a0Proceedings of the AAAI Conference on Artificial Intelligence, 31 , 1. Emily Hand and Rama Chellappa. 2017. Attributes for improved attributes: A multi-task network utilizing implicit and explicit relationships for facial attribute classification. In\u00a0Proceedings of the AAAI Conference on Artificial Intelligence, 31, 1."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDARW.2019.00006"},{"key":"e_1_3_2_1_10_1","first-page":"1","article-title":"Apartment Structure Estimation Using Fully Convolutional Networks and Graph Model. In Multimedia for RETech, Yokohama","author":"Yamasaki Toshihiko","year":"2018","unstructured":"Toshihiko Yamasaki , Jin Zhang , and Yuki Takada . 2018 . Apartment Structure Estimation Using Fully Convolutional Networks and Graph Model. In Multimedia for RETech, Yokohama , Japan , 1 - 6 . Toshihiko Yamasaki, Jin Zhang, and Yuki Takada. 2018. Apartment Structure Estimation Using Fully Convolutional Networks and Graph Model. In Multimedia for RETech, Yokohama, Japan, 1-6.","journal-title":"Japan"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_12_1","first-page":"837","volume-title":"FERAtt: Facial Expression Recognition with Attention Net. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","author":"Marrero Fernandez Pedro D.","year":"2019","unstructured":"Pedro D. Marrero Fernandez , Fidel A. Guerrero Pena , Tsang Ing Ren , and Alexandre Cunha . 2019 . FERAtt: Facial Expression Recognition with Attention Net. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops , Long Beach, CA, USA , 837 - 846 . Pedro D. Marrero Fernandez, Fidel A. Guerrero Pena, Tsang Ing Ren, and Alexandre Cunha. 2019. FERAtt: Facial Expression Recognition with Attention Net. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, Long Beach, CA, USA, 837-846."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00320"},{"key":"e_1_3_2_1_14_1","unstructured":"Rahul Rama Varior Bing Shuai Joseph Tighe and Davide Modolo. 2019. Scale-Aware Attention Network for Crowd Counting. arXiv.  Rahul Rama Varior Bing Shuai Joseph Tighe and Davide Modolo. 2019. Scale-Aware Attention Network for Crowd Counting. arXiv."},{"key":"e_1_3_2_1_15_1","volume-title":"International Conference on Learning Representations (ICLR)","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew Zisserman . 2015 . Very deep convolutional networks for large-scale image recognition . In International Conference on Learning Representations (ICLR) Karen Simonyan and Andrew Zisserman. 2015. Very deep convolutional networks for large-scale image recognition. In International Conference on Learning Representations (ICLR)"}],"event":{"name":"AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition","location":"Xiamen China","acronym":"AIPR 2021"},"container-title":["2021 4th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489017","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488933.3489017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:00Z","timestamp":1750193340000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489017"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":15,"alternative-id":["10.1145\/3488933.3489017","10.1145\/3488933"],"URL":"https:\/\/doi.org\/10.1145\/3488933.3489017","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}