{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:59:08Z","timestamp":1742965148194,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819985456"},{"type":"electronic","value":"9789819985463"}],"license":[{"start":{"date-parts":[[2023,12,26]],"date-time":"2023-12-26T00:00:00Z","timestamp":1703548800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,26]],"date-time":"2023-12-26T00:00:00Z","timestamp":1703548800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-8546-3_37","type":"book-chapter","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T19:02:17Z","timestamp":1703530937000},"page":"457-468","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Mask-Guided Joint Single Image Specular Highlight Detection and\u00a0Removal"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5236-8216","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2027-1145","authenticated-orcid":false,"given":"Li","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6316-2070","authenticated-orcid":false,"given":"Neng","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,26]]},"reference":[{"key":"37_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/978-3-319-16814-2_40","volume-title":"Computer Vision \u2013 ACCV 2014","author":"Y Akashi","year":"2015","unstructured":"Akashi, Y., Okatani, T.: Separation of reflection components by sparse non-negative matrix factorization. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9007, pp. 611\u2013625. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16814-2_40"},{"key":"37_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2023.129467","volume":"537","author":"W Feng","year":"2023","unstructured":"Feng, W., Cheng, X., Sun, J., Xiong, Z., Zhai, Z.: Specular highlight removal and depth estimation based on polarization characteristics of light field. Optics Commun. 537, 129467 (2023)","journal-title":"Optics Commun."},{"key":"37_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2021.106939","volume":"151","author":"W Feng","year":"2022","unstructured":"Feng, W., Li, X., Cheng, X., Wang, H., Xiong, Z., Zhai, Z.: Specular highlight removal of light field based on dichromatic reflection and total variation optimizations. Opt. Lasers Eng. 151, 106939 (2022)","journal-title":"Opt. Lasers Eng."},{"key":"37_CR4","doi-asserted-by":"crossref","unstructured":"Fu, G., Zhang, Q., Lin, Q., Zhu, L., Xiao, C.: Learning to detect specular highlights from real-world images. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 1873\u20131881 (2020)","DOI":"10.1145\/3394171.3413586"},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"Fu, G., Zhang, Q., Zhu, L., Li, P., Xiao, C.: A multi-task network for joint specular highlight detection and removal. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7752\u20137761 (2021)","DOI":"10.1109\/CVPR46437.2021.00766"},{"key":"37_CR6","doi-asserted-by":"crossref","unstructured":"Guo, J., Zhou, Z., Wang, L.: Single image highlight removal with a sparse and low-rank reflection model. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 268\u2013283 (2018)","DOI":"10.1007\/978-3-030-01225-0_17"},{"key":"37_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-030-88013-2_10","volume-title":"Pattern Recognition and Computer Vision","author":"S Hou","year":"2021","unstructured":"Hou, S., Wang, C., Quan, W., Jiang, J., Yan, D.-M.: Text-aware single image specular highlight removal. In: Ma, H., Wang, L., Zhang, C., Wu, F., Tan, T., Wang, Y., Lai, J., Zhao, Y. (eds.) PRCV 2021. LNCS, vol. 13022, pp. 115\u2013127. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-88013-2_10"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Ikeuchi, K., Miyazaki, D., Tan, R.T., Ikeuchi, K.: Separating reflection components of textured surfaces using a single image. In: Digitally Archiving Cultural Objects, pp. 353\u2013384 (2008)","DOI":"10.1007\/978-0-387-75807_17"},{"key":"37_CR9","doi-asserted-by":"crossref","unstructured":"Jie, L., Zhang, H.: MGRLN-NET: mask-guided residual learning network for joint single-image shadow detection and removal. In: Proceedings of the Asian Conference on Computer Vision, pp. 4411\u20134427 (2022)","DOI":"10.1007\/978-3-031-26313-2_28"},{"key":"37_CR10","doi-asserted-by":"crossref","unstructured":"Ramos, V.S., J\u00fanior, L.G.D.Q.S., Silveira, L.F.D.Q.: Single image highlight removal for real-time image processing pipelines. IEEE Access 8, 3240\u20133254 (2019)","DOI":"10.1109\/ACCESS.2019.2963037"},{"key":"37_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"issue":"19","key":"37_CR12","doi-asserted-by":"publisher","first-page":"4483","DOI":"10.1364\/AO.52.004483","volume":"52","author":"HL Shen","year":"2013","unstructured":"Shen, H.L., Zheng, Z.H.: Real-time highlight removal using intensity ratio. Appl. Opt. 52(19), 4483\u20134493 (2013)","journal-title":"Appl. Opt."},{"key":"37_CR13","doi-asserted-by":"crossref","unstructured":"Shi, J., Dong, Y., Su, H., Yu, S.X.: Learning non-lambertian object intrinsics across shapenet categories. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1685\u20131694 (2017)","DOI":"10.1109\/CVPR.2017.619"},{"key":"37_CR14","unstructured":"Shi, X., et al.: Deep learning for precipitation nowcasting: a benchmark and a new model. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"37_CR15","doi-asserted-by":"crossref","unstructured":"Souza, A.C., Macedo, M.C., Nascimento, V.P., Oliveira, B.S.: Real-time high-quality specular highlight removal using efficient pixel clustering. In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 56\u201363. IEEE (2018)","DOI":"10.1109\/SIBGRAPI.2018.00014"},{"key":"37_CR16","unstructured":"Tan, M., Le, Q.: Efficientnet: rethinking model scaling for convolutional neural networks. In: International Conference on Machine Learning, pp. 6105\u20136114. PMLR (2019)"},{"key":"37_CR17","doi-asserted-by":"crossref","unstructured":"Wang, C., Wu, Z., Guo, J., Zhang, X.: Contour-constrained specular highlight detection from real-world images. In: The 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, pp. 1\u20134 (2022)","DOI":"10.1145\/3574131.3574461"},{"key":"37_CR18","doi-asserted-by":"crossref","unstructured":"Wu, S., et al.: Specular-to-diffuse translation for multi-view reconstruction. In: Proceedings of the European conference on computer vision (ECCV), pp. 183\u2013200 (2018)","DOI":"10.1007\/978-3-030-01225-0_12"},{"issue":"1","key":"37_CR19","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s41095-022-0273-9","volume":"9","author":"Z Wu","year":"2023","unstructured":"Wu, Z., Guo, J., Zhuang, C., Xiao, J., Yan, D.M., Zhang, X.: Joint specular highlight detection and removal in single images via unet-transformer. Comput. Visual Media 9(1), 141\u2013154 (2023)","journal-title":"Comput. Visual Media"},{"issue":"2","key":"37_CR20","first-page":"92","volume":"7","author":"T Yamamoto","year":"2019","unstructured":"Yamamoto, T., Nakazawa, A.: General improvement method of specular component separation using high-emphasis filter and similarity function. ITE Trans. Media Technol. Appl. 7(2), 92\u2013102 (2019)","journal-title":"ITE Trans. Media Technol. Appl."},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Yang, J., Liu, L., Li, S.: Separating specular and diffuse reflection components in the HSI color space. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 891\u2013898 (2013)","DOI":"10.1109\/ICCVW.2013.122"},{"issue":"6","key":"37_CR22","doi-asserted-by":"publisher","first-page":"1304","DOI":"10.1109\/TPAMI.2014.2360402","volume":"37","author":"Q Yang","year":"2014","unstructured":"Yang, Q., Tang, J., Ahuja, N.: Efficient and robust specular highlight removal. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1304\u20131311 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"37_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/978-3-642-15561-1_7","volume-title":"Computer Vision \u2013 ECCV 2010","author":"Q Yang","year":"2010","unstructured":"Yang, Q., Wang, S., Ahuja, N.: Real-time specular highlight removal using bilateral filtering. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6314, pp. 87\u2013100. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15561-1_7"},{"key":"37_CR24","doi-asserted-by":"crossref","unstructured":"Yi, R., Tan, P., Lin, S.: Leveraging multi-view image sets for unsupervised intrinsic image decomposition and highlight separation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 12685\u201312692 (2020)","DOI":"10.1609\/aaai.v34i07.6961"},{"issue":"3","key":"37_CR25","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1109\/TPAMI.2018.2803179","volume":"41","author":"W Zhang","year":"2018","unstructured":"Zhang, W., Zhao, X., Morvan, J.M., Chen, L.: Improving shadow suppression for illumination robust face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(3), 611\u2013624 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8546-3_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T20:49:43Z","timestamp":1730926183000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8546-3_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,26]]},"ISBN":["9789819985456","9789819985463"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8546-3_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,26]]},"assertion":[{"value":"26 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xiamen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/prcv2023.xmu.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1420","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"532","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,78","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,69","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}