{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T15:22:21Z","timestamp":1778340141343,"version":"3.51.4"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T00:00:00Z","timestamp":1669939200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T00:00:00Z","timestamp":1669939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876066"],"award-info":[{"award-number":["61876066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176160"],"award-info":[{"award-number":["62176160"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672443"],"award-info":[{"award-number":["61672443"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"Chinese Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2020M672631"],"award-info":[{"award-number":["2020M672631"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Hong Kong RGC General Research Funds","award":["9042489 (CityU 11206317)"],"award-info":[{"award-number":["9042489 (CityU 11206317)"]}]},{"name":"Hong Kong RGC General Research Funds","award":["Grant 9042816 (CityU 11209819)"],"award-info":[{"award-number":["Grant 9042816 (CityU 11209819)"]}]},{"name":"Hong Kong RGC General Research Funds","award":["Grant 9042322 (CityU 11200116)"],"award-info":[{"award-number":["Grant 9042322 (CityU 11200116)"]}]},{"name":"Natural Science Foundation of Guangdong Province of China","award":["2022A1515010791"],"award-info":[{"award-number":["2022A1515010791"]}]},{"name":"Natural Science Foundation of Shenzhen","award":["20200804193857002"],"award-info":[{"award-number":["20200804193857002"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1007\/s13042-022-01723-3","type":"journal-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T07:47:16Z","timestamp":1669967236000},"page":"1725-1738","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Generative face inpainting hashing for occluded face retrieval"],"prefix":"10.1007","volume":"14","author":[{"given":"Yuxiang","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0783-3585","authenticated-orcid":false,"given":"Wing W. Y.","family":"Ng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ran","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sam","family":"Kwong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,2]]},"reference":[{"key":"1723_CR1","doi-asserted-by":"crossref","unstructured":"Zeng D, Veldhuis R, Spreeuwers L (2021) A survey of face recognition techniques under occlusion. IET Biometr. 10(6):581\u2013606","DOI":"10.1049\/bme2.12029"},{"key":"1723_CR2","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.neucom.2016.12.025","volume":"230","author":"J-J Lv","year":"2017","unstructured":"Lv J-J, Shao X-H, Huang J-S, Zhou X-D, Zhou X (2017) Data augmentation for face recognition. Neurocomputing 230:184\u2013196","journal-title":"Neurocomputing"},{"key":"1723_CR3","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.imavis.2018.09.011","volume":"79","author":"DS Trigueros","year":"2018","unstructured":"Trigueros DS, Meng L, Hartnett M (2018) Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss. Image Vis Comput 79:99\u2013108","journal-title":"Image Vis Comput"},{"key":"1723_CR4","doi-asserted-by":"crossref","unstructured":"Wan W, Chen J (2017) Occlusion robust face recognition based on mask learning. In: 2017 IEEE international conference on image processing (ICIP). IEEE, pp 3795\u20133799","DOI":"10.1109\/ICIP.2017.8296992"},{"key":"1723_CR5","doi-asserted-by":"crossref","unstructured":"Song L, Gong D, Li Z, Liu C, Liu W (2019) Occlusion robust face recognition based on mask learning with pairwise differential siamese network. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp 773\u2013782","DOI":"10.1109\/ICCV.2019.00086"},{"key":"1723_CR6","doi-asserted-by":"crossref","unstructured":"Pathak D, Krahenbuhl P, Donahue J, Darrell T, Efros AA (2016) Context encoders: feature learning by inpainting. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2536\u20132544","DOI":"10.1109\/CVPR.2016.278"},{"key":"1723_CR7","doi-asserted-by":"crossref","unstructured":"Li Y, Liu S, Yang J, Yang M-H (2017) Generative face completion. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3911\u20133919","DOI":"10.1109\/CVPR.2017.624"},{"issue":"12","key":"1723_CR8","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2012","unstructured":"Gong Y, Lazebnik S, Gordo A, Perronnin F (2012) Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans Pattern Anal Mach Intell 35(12):2916\u20132929","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"1723_CR9","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1007\/s13042-019-01026-0","volume":"11","author":"J Li","year":"2020","unstructured":"Li J, Ng WW, Tian X, Kwong S, Wang H (2020) Weighted multi-deep ranking supervised hashing for efficient image retrieval. Int J Mach Learn Cybern 11(4):883\u2013897","journal-title":"Int J Mach Learn Cybern"},{"issue":"11","key":"1723_CR10","first-page":"3814","volume":"47","author":"WW Ng","year":"2016","unstructured":"Ng WW, Tian X, Lv Y, Yeung DS, Pedrycz W (2016) Incremental hashing for semantic image retrieval in nonstationary environments. IEEE Trans Cybern 47(11):3814\u20133826","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"1723_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13042-021-01330-8","volume":"13","author":"J Zhu","year":"2022","unstructured":"Zhu J, Shu Y, Zhang J, Wang X, Wu S (2022) Triplet-object loss for large scale deep image retrieval. Int J Mach Learn Cybern 13(1):1\u20139","journal-title":"Int J Mach Learn Cybern"},{"issue":"11","key":"1723_CR12","doi-asserted-by":"publisher","first-page":"2304","DOI":"10.1109\/TPAMI.2015.2408363","volume":"37","author":"J-P Heo","year":"2015","unstructured":"Heo J-P, Lee Y, He J, Chang S-F, Yoon S-E (2015) Spherical hashing: binary code embedding with hyperspheres. IEEE Trans Pattern Anal Mach Intell 37(11):2304\u20132316","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"12","key":"1723_CR13","doi-asserted-by":"publisher","first-page":"2689","DOI":"10.1007\/s13042-020-01145-z","volume":"11","author":"WW Ng","year":"2020","unstructured":"Ng WW, Jiang X, Tian X, Pelillo M, Wang H, Kwong S (2020) Incremental hashing with sample selection using dominant sets. Int J Mach Learn Cybern 11(12):2689\u20132702","journal-title":"Int J Mach Learn Cybern"},{"issue":"12","key":"1723_CR14","doi-asserted-by":"publisher","first-page":"1598","DOI":"10.1016\/j.patrec.2011.01.004","volume":"32","author":"O D\u00e9niz","year":"2011","unstructured":"D\u00e9niz O, Bueno G, Salido J, De la Torre F (2011) Face recognition using histograms of oriented gradients. Pattern Recogn Lett 32(12):1598\u20131603","journal-title":"Pattern Recogn Lett"},{"issue":"6","key":"1723_CR15","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1109\/TSMCC.2011.2118750","volume":"41","author":"D Huang","year":"2011","unstructured":"Huang D, Shan C, Ardabilian M, Wang Y, Chen L (2011) Local binary patterns and its application to facial image analysis: a survey. IEEE Trans Syst Man Cybern Part C (Appl Rev) 41(6):765\u2013781","journal-title":"IEEE Trans Syst Man Cybern Part C (Appl Rev)"},{"key":"1723_CR16","doi-asserted-by":"crossref","unstructured":"Purandare V, Talele K (2014) Efficient heterogeneous face recognition using scale invariant feature transform. In: 2014 International conference on circuits, systems, communication and information technology applications (CSCITA), pp 305\u2013310. IEEE","DOI":"10.1109\/CSCITA.2014.6839277"},{"issue":"3","key":"1723_CR17","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1023\/A:1011139631724","volume":"42","author":"A Oliva","year":"2001","unstructured":"Oliva A, Torralba A (2001) Modeling the shape of the scene: a holistic representation of the spatial envelope. Int J Comput Vision 42(3):145\u2013175","journal-title":"Int J Comput Vision"},{"issue":"10","key":"1723_CR18","doi-asserted-by":"publisher","first-page":"2085","DOI":"10.1109\/TPAMI.2015.2400461","volume":"37","author":"Z Li","year":"2015","unstructured":"Li Z, Liu J, Tang J, Lu H (2015) Robust structured subspace learning for data representation. IEEE Trans Pattern Anal Mach Intell 37(10):2085\u20132098","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1723_CR19","unstructured":"Sun Y, Chen Y, Wang X, Tang X (2014) Deep learning face representation by joint identification-verification. In: Proceedings of the 27th International Conference on Neural Information Processing Systems vol 2 pp 1988\u20131996"},{"key":"1723_CR20","doi-asserted-by":"crossref","unstructured":"Wang H, Wang Y, Zhou Z, Ji X, Gong D, Zhou J, Li Z, Liu W (2018) Cosface: large margin cosine loss for deep face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5265\u20135274","DOI":"10.1109\/CVPR.2018.00552"},{"key":"1723_CR21","doi-asserted-by":"crossref","unstructured":"Xia R, Pan Y, Lai H, Liu C, Yan S (2014) Supervised hashing for image retrieval via image representation learning. In: Twenty-eighth AAAI conference on artificial intelligence","DOI":"10.1609\/aaai.v28i1.8952"},{"key":"1723_CR22","doi-asserted-by":"crossref","unstructured":"Erin\u00a0Liong V, Lu J, Wang G, Moulin P, Zhou J (2015) Deep hashing for compact binary codes learning. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2475\u20132483","DOI":"10.1109\/CVPR.2015.7298862"},{"key":"1723_CR23","doi-asserted-by":"crossref","unstructured":"Liu H, Wang R, Shan S, Chen X (2016) Deep supervised hashing for fast image retrieval. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2064\u20132072","DOI":"10.1109\/CVPR.2016.227"},{"key":"1723_CR24","doi-asserted-by":"publisher","first-page":"36489","DOI":"10.1109\/ACCESS.2019.2900489","volume":"7","author":"L Wu","year":"2019","unstructured":"Wu L, Ling H, Li P, Chen J, Fang Y, Zhou F (2019) Deep supervised hashing based on stable distribution. IEEE Access 7:36489\u201336499","journal-title":"IEEE Access"},{"key":"1723_CR25","unstructured":"Li W-J, Wang S, Kang W-C (2015) Feature learning based deep supervised hashing with pairwise labels. arXiv preprint arXiv:1511.03855"},{"key":"1723_CR26","doi-asserted-by":"crossref","unstructured":"Cao Z, Long M, Wang J, Yu PS (2017) Hashnet: deep learning to hash by continuation. In: Proceedings of the IEEE international conference on computer vision, pp 5608\u20135617","DOI":"10.1109\/ICCV.2017.598"},{"key":"1723_CR27","doi-asserted-by":"crossref","unstructured":"Yuan L, Wang T, Zhang X, Tay FE, Jie Z, Liu W, Feng J (2020) Central similarity quantization for efficient image and video retrieval. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 3083\u20133092","DOI":"10.1109\/CVPR42600.2020.00315"},{"issue":"12","key":"1723_CR28","doi-asserted-by":"publisher","first-page":"6154","DOI":"10.1109\/TNNLS.2018.2816743","volume":"29","author":"J Tang","year":"2018","unstructured":"Tang J, Lin J, Li Z, Yang J (2018) Discriminative deep quantization hashing for face image retrieval. IEEE Trans Neural Netw Learn Syst 29(12):6154\u20136162","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1723_CR29","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.patcog.2017.03.028","volume":"75","author":"J Tang","year":"2018","unstructured":"Tang J, Li Z, Zhu X (2018) Supervised deep hashing for scalable face image retrieval. Pattern Recogn 75:25\u201332","journal-title":"Pattern Recogn"},{"key":"1723_CR30","doi-asserted-by":"crossref","unstructured":"Jang YK, Jeong D-j, Lee SH, Cho NI (2018) Deep clustering and block hashing network for face image retrieval. In: Asian conference on computer vision. Springer, pp 325\u2013339","DOI":"10.1007\/978-3-030-20876-9_21"},{"key":"1723_CR31","doi-asserted-by":"crossref","unstructured":"Zhou L, Wang Y, Xiao B, Xu Q (2021) Dfh-gan: a deep face hashing with generative adversarial network. In: 2020 25th international conference on pattern recognition (ICPR). IEEE, pp 7012\u20137019","DOI":"10.1109\/ICPR48806.2021.9412202"},{"issue":"9","key":"1723_CR32","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/TIP.2004.833105","volume":"13","author":"A Criminisi","year":"2004","unstructured":"Criminisi A, P\u00e9rez P, Toyama K (2004) Region filling and object removal by exemplar-based image inpainting. IEEE Trans Image Process 13(9):1200\u20131212","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"1723_CR33","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TIP.2010.2042098","volume":"19","author":"Z Xu","year":"2010","unstructured":"Xu Z, Sun J (2010) Image inpainting by patch propagation using patch sparsity. IEEE Trans Image Process 19(5):1153\u20131165","journal-title":"IEEE Trans Image Process"},{"key":"1723_CR34","doi-asserted-by":"crossref","unstructured":"Yang C, Lu X, Lin Z, Shechtman E, Wang O, Li H (2017) High-resolution image inpainting using multi-scale neural patch synthesis. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6721\u20136729","DOI":"10.1109\/CVPR.2017.434"},{"key":"1723_CR35","doi-asserted-by":"crossref","unstructured":"Liu G, Reda FA, Shih KJ, Wang T-C, Tao A, Catanzaro B (2018) Image inpainting for irregular holes using partial convolutions. In: Proceedings of the European conference on computer vision (ECCV), pp 85\u2013100","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"1723_CR36","doi-asserted-by":"crossref","unstructured":"Nazeri K, Ng E, Joseph T, Qureshi F, Ebrahimi M (2019) Edgeconnect: structure guided image inpainting using edge prediction. In: Proceedings of the IEEE\/CVF international conference on computer vision workshops, pp 0\u20130","DOI":"10.1109\/ICCVW.2019.00408"},{"key":"1723_CR37","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arxiv:1511.06434"},{"key":"1723_CR38","unstructured":"Radford A, Metz L, Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434"},{"key":"1723_CR39","doi-asserted-by":"crossref","unstructured":"Liu Z, Luo P, Wang X, Tang X (2015) Deep learning face attributes in the wild. In: Proceedings of the IEEE international conference on computer vision, pp 3730\u20133738","DOI":"10.1109\/ICCV.2015.425"},{"key":"1723_CR40","doi-asserted-by":"crossref","unstructured":"Li W, Lin Z, Zhou K, Qi L, Wang Y, Jia J (2022) Mat: mask-aware transformer for large hole image inpainting. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR52688.2022.01049"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-022-01723-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-022-01723-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-022-01723-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T04:12:41Z","timestamp":1744171961000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-022-01723-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,2]]},"references-count":40,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,5]]}},"alternative-id":["1723"],"URL":"https:\/\/doi.org\/10.1007\/s13042-022-01723-3","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,2]]},"assertion":[{"value":"3 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 November 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}