{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:59Z","timestamp":1750220699395,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"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":[[2020,10,30]]},"DOI":"10.1145\/3436369.3436490","type":"proceedings-article","created":{"date-parts":[[2021,1,12]],"date-time":"2021-01-12T03:48:53Z","timestamp":1610423333000},"page":"152-160","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Low-Resolution Face Recognition Method Combining Super-Resolution and Improved DCR Model"],"prefix":"10.1145","author":[{"given":"Li","family":"Ren","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Wenhao","family":"Deng","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Chen","family":"Mao","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Yadong","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Haitao","family":"Jia","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Anyang Institute of Technology, Anyang, China"}]}],"member":"320","published-online":{"date-parts":[[2021,1,11]]},"reference":[{"volume-title":"Proceedings of Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.;","author":"Chang H.","unstructured":"Chang , H. ; Yeung , D.-Y. ; Xiong , Y. Super-resolution through neighbor embedding . In Proceedings of Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.; pp. I-I. Chang, H.; Yeung, D.-Y.; Xiong, Y. Super-resolution through neighbor embedding. In Proceedings of Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.; pp. I-I.","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","first-page":"577","volume-title":"Proceedings of Proceedings of the 24th international conference on Machine learning;","author":"Ma Y.","unstructured":"Ma , Y. ; Lao , S. ; Takikawa , E. ; Kawade , M. Discriminant analysis in correlation similarity measure space . In Proceedings of Proceedings of the 24th international conference on Machine learning; pp. 577 -- 584 . Ma, Y.; Lao, S.; Takikawa, E.; Kawade, M. Discriminant analysis in correlation similarity measure space. In Proceedings of Proceedings of the 24th international conference on Machine learning; pp. 577--584."},{"key":"e_1_3_2_1_3_1","volume-title":"Coupled dictionary training for image super-resolution","author":"Yang J.","year":"2012","unstructured":"Yang , J. ; Wang , Z. ; Lin , Z. ; Cohen , S. ; Huang , T. Coupled dictionary training for image super-resolution . IEEE transactions on image processing 2012 , 21, 3467--3478. Yang, J.; Wang, Z.; Lin, Z.; Cohen, S.; Huang, T. Coupled dictionary training for image super-resolution. IEEE transactions on image processing 2012, 21, 3467--3478."},{"key":"e_1_3_2_1_4_1","first-page":"1408","volume":"2013","author":"Cheng H.","unstructured":"Cheng , H. ; Liu , Z. ; Yang , L. ; Chen , X. Sparse representation and learning in visual recognition: Theory and applications. Signal Processing 2013 , 93, 1408 -- 1425 . Cheng, H.; Liu, Z.; Yang, L.; Chen, X. Sparse representation and learning in visual recognition: Theory and applications. Signal Processing 2013, 93, 1408--1425.","journal-title":"Signal Processing"},{"key":"e_1_3_2_1_5_1","first-page":"168","volume":"2014","author":"Jiang J.","unstructured":"Jiang , J. ; Hu , R. ; Liang , C. ; Han , Z. ; Zhang , C. Face image super-resolution through locality-induced support regression. Signal Processing 2014 , 103, 168 -- 183 . Jiang, J.; Hu, R.; Liang, C.; Han, Z.; Zhang, C. Face image super-resolution through locality-induced support regression. Signal Processing 2014, 103, 168--183.","journal-title":"Signal Processing"},{"key":"e_1_3_2_1_6_1","first-page":"530","volume":"2013","author":"Villena S.","unstructured":"Villena , S. ; Vega , M. ; Babacan , S.D. ; Molina , R. ; Katsaggelos , A.K. Bayesian combination of sparse and non-sparse priors in image super resolution. Digital Signal Processing 2013 , 23, 530 -- 541 . Villena, S.; Vega, M.; Babacan, S.D.; Molina, R.; Katsaggelos, A.K. Bayesian combination of sparse and non-sparse priors in image super resolution. Digital Signal Processing 2013, 23, 530--541.","journal-title":"Digital Signal Processing"},{"key":"e_1_3_2_1_7_1","first-page":"184","volume-title":"Proceedings of European conference on computer vision;","author":"Dong C.","unstructured":"Dong , C. ; Loy , C.C. ; He , K. ; Tang , X. Learning a deep convolutional network for image super-resolution . In Proceedings of European conference on computer vision; pp. 184 -- 199 . Dong, C.; Loy, C.C.; He, K.; Tang, X. Learning a deep convolutional network for image super-resolution. In Proceedings of European conference on computer vision; pp. 184--199."},{"key":"e_1_3_2_1_8_1","first-page":"908","volume-title":"Proceedings of Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition;","author":"Yu X.","unstructured":"Yu , X. ; Fernando , B. ; Hartley , R. ; Porikli , F. Super-resolving very low-resolution face images with supplementary attributes . In Proceedings of Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; pp. 908 -- 917 . Yu, X.; Fernando, B.; Hartley, R.; Porikli, F. Super-resolving very low-resolution face images with supplementary attributes. In Proceedings of Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; pp. 908--917."},{"key":"e_1_3_2_1_9_1","first-page":"2000","volume":"2019","author":"Li P.","unstructured":"Li , P. ; Prieto , L. ; Mery , D. ; Flynn , P.J. On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques. IEEE Transactions on Information Forensics and Security 2019 , 14, 2000 -- 2012 . Li, P.; Prieto, L.; Mery, D.; Flynn, P.J. On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques. IEEE Transactions on Information Forensics and Security 2019, 14, 2000--2012.","journal-title":"Security"},{"key":"e_1_3_2_1_10_1","first-page":"46","volume":"2019","author":"Heinsohn D.","unstructured":"Heinsohn , D. ; Villalobos , E. ; Prieto , L. ; Mery , D. Face recognition in low-quality images using adaptive sparse representations. Image and Vision Computing 2019 , 85, 46 -- 58 . Heinsohn, D.; Villalobos, E.; Prieto, L.; Mery, D. Face recognition in low-quality images using adaptive sparse representations. Image and Vision Computing 2019, 85, 46--58.","journal-title":"Vision Computing"},{"key":"e_1_3_2_1_11_1","volume-title":"Cross-spectral face completion for nir-vis heterogeneous face recognition. arXiv preprint arXiv:1902.03565","author":"He R.","year":"2019","unstructured":"He , R. ; Cao , J. ; Song , L. ; Sun , Z. ; Tan , T. Cross-spectral face completion for nir-vis heterogeneous face recognition. arXiv preprint arXiv:1902.03565 2019 . He, R.; Cao, J.; Song, L.; Sun, Z.; Tan, T. Cross-spectral face completion for nir-vis heterogeneous face recognition. arXiv preprint arXiv:1902.03565 2019."},{"key":"e_1_3_2_1_12_1","first-page":"2532","volume":"2010","author":"Huang H.","unstructured":"Huang , H. ; He , H. ; Fan , X. ; Zhang , J. Super -resolution of human face image using canonical correlation analysis. Pattern Recognition 2010 , 43, 2532 -- 2543 . Huang, H.; He, H.; Fan, X.; Zhang, J. Super-resolution of human face image using canonical correlation analysis. Pattern Recognition 2010, 43, 2532--2543.","journal-title":"Pattern Recognition"},{"key":"e_1_3_2_1_13_1","first-page":"1043","volume-title":"Proceedings of 2008 Eighth IEEE International Conference on Data Mining;","author":"Sun T.","unstructured":"Sun , T. ; Chen , S. ; Yang , J. ; Shi , P. A novel method of combined feature extraction for recognition . In Proceedings of 2008 Eighth IEEE International Conference on Data Mining; pp. 1043 -- 1048 . Sun, T.; Chen, S.; Yang, J.; Shi, P. A novel method of combined feature extraction for recognition. In Proceedings of 2008 Eighth IEEE International Conference on Data Mining; pp. 1043--1048."},{"key":"e_1_3_2_1_14_1","first-page":"531","volume":"2007","author":"Sun T.","unstructured":"Sun , T. ; Chen , S. Locality preserving CCA with applications to data visualization and pose estimation. Image and Vision Computing 2007 , 25, 531 -- 543 . Sun, T.; Chen, S. Locality preserving CCA with applications to data visualization and pose estimation. Image and Vision Computing 2007, 25, 531--543.","journal-title":"Vision Computing"},{"key":"e_1_3_2_1_15_1","first-page":"162","volume":"2016","author":"Jiang J.","unstructured":"Jiang , J. ; Hu , R. ; Wang , Z. ; Cai , Z. CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Processingthe 2016 , 124, 162 -- 172 . Jiang, J.; Hu, R.; Wang, Z.; Cai, Z. CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Processingthe 2016, 124, 162--172.","journal-title":"Signal Processingthe"},{"key":"e_1_3_2_1_16_1","first-page":"329","volume":"2016","author":"Xing X.","unstructured":"Xing , X. ; Wang , K. Couple manifold discriminant analysis with bipartite graph embedding for low-resolution face recognition. Signal Processing 2016 , 125, 329 -- 335 . Xing, X.; Wang, K. Couple manifold discriminant analysis with bipartite graph embedding for low-resolution face recognition. Signal Processing 2016, 125, 329--335.","journal-title":"Signal Processing"},{"key":"e_1_3_2_1_17_1","volume-title":"Low resolution face recognition across variations in pose and illumination","author":"Mudunuri S.P.","year":"2015","unstructured":"Mudunuri , S.P. ; Biswas , S. Low resolution face recognition across variations in pose and illumination . IEEE transactions on pattern analysis and machine intelligence 2015 , 38, 1034--1040. Mudunuri, S.P.; Biswas, S. Low resolution face recognition across variations in pose and illumination. IEEE transactions on pattern analysis and machine intelligence 2015, 38, 1034--1040."},{"key":"e_1_3_2_1_18_1","first-page":"526","volume":"2018","author":"Lu Z.","unstructured":"Lu , Z. ; Jiang , X. ; Kot , A. Deep coupled resnet for low-resolution face recognition. IEEE Signal Processing Letters 2018 , 25, 526 -- 530 . Lu, Z.; Jiang, X.; Kot, A. Deep coupled resnet for low-resolution face recognition. IEEE Signal Processing Letters 2018, 25, 526--530.","journal-title":"IEEE Signal Processing Letters"},{"key":"e_1_3_2_1_19_1","first-page":"4681","volume-title":"Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition;","author":"Ledig C.","unstructured":"Ledig , C. ; Theis , L. ; Husz\u00e1r , F. ; Caballero , J. ; Cunningham , A. ; Acosta , A. ; Aitken , A. ; Tejani , A. ; Totz , J. ; Wang , Z. Photo-realistic single image super-resolution using a generative adversarial network . In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 4681 -- 4690 . Ledig, C.; Theis, L.; Husz\u00e1r, F.; Caballero, J.; Cunningham, A.; Acosta, A.; Aitken, A.; Tejani, A.; Totz, J.; Wang, Z. Photo-realistic single image super-resolution using a generative adversarial network. In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 4681--4690."},{"key":"e_1_3_2_1_20_1","first-page":"4700","volume-title":"Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition;","author":"Huang G.","unstructured":"Huang , G. ; Liu , Z. ; Van Der Maaten , L. ; Weinberger , K.Q. Densely connected convolutional networks . In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 4700 -- 4708 . Huang, G.; Liu, Z.; Van Der Maaten, L.; Weinberger, K.Q. Densely connected convolutional networks. In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 4700--4708."},{"key":"e_1_3_2_1_21_1","volume-title":"Learning face representation from scratch. arXiv preprint arXiv:1411.7923","author":"Yi D.","year":"2014","unstructured":"Yi , D. ; Lei , Z. ; Liao , S. ; Li , S.Z. Learning face representation from scratch. arXiv preprint arXiv:1411.7923 2014 . Yi, D.; Lei, Z.; Liao, S.; Li, S.Z. Learning face representation from scratch. arXiv preprint arXiv:1411.7923 2014."},{"unstructured":"Huang G.B.; Mattar M.; Berg T.; Learned-Miller E. Labeled faces in the wild: A database forstudying face recognition in unconstrained environments.  Huang G.B.; Mattar M.; Berg T.; Learned-Miller E. Labeled faces in the wild: A database forstudying face recognition in unconstrained environments.","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","volume-title":"SCface-surveillance cameras face database. Multimedia tools and applications","author":"Grgic M.","year":"2011","unstructured":"Grgic , M. ; Delac , K. ; Grgic , S. SCface-surveillance cameras face database. Multimedia tools and applications 2011 , 51, 863--879. Grgic, M.; Delac, K.; Grgic, S. SCface-surveillance cameras face database. Multimedia tools and applications 2011, 51, 863--879."},{"key":"e_1_3_2_1_24_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan K.","year":"2014","unstructured":"Simonyan , K. ; Zisserman , A. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 2014 . Simonyan, K.; Zisserman, A. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 2014."},{"volume-title":"Proceedings of Thirty-First AAAI Conference on Artificial Intelligence.","author":"Szegedy C.","unstructured":"Szegedy , C. ; Ioffe , S. ; Vanhoucke , V. ; Alemi , A.A. Inception -v4 , inception-resnet and the impact of residual connections on learning . In Proceedings of Thirty-First AAAI Conference on Artificial Intelligence. Szegedy, C.; Ioffe, S.; Vanhoucke, V.; Alemi, A.A. Inception-v4, inception-resnet and the impact of residual connections on learning. In Proceedings of Thirty-First AAAI Conference on Artificial Intelligence.","key":"e_1_3_2_1_25_1"},{"key":"e_1_3_2_1_26_1","first-page":"770","volume-title":"Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition;","author":"He K.","unstructured":"He , K. ; Zhang , X. ; Ren , S. ; Sun , J. Deep residual learning for image recognition . In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 770 -- 778 . He, K.; Zhang, X.; Ren, S.; Sun, J. Deep residual learning for image recognition. In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 770--778."},{"volume-title":"Proceedings of Thirty-First AAAI Conference on Artificial Intelligence.","author":"Szegedy C.","unstructured":"Szegedy , C. ; Ioffe , S. ; Vanhoucke , V. ; Alemi , A.A. Inception -v4 , inception-resnet and the impact of residual connections on learning . In Proceedings of Thirty-First AAAI Conference on Artificial Intelligence. Szegedy, C.; Ioffe, S.; Vanhoucke, V.; Alemi, A.A. Inception-v4, inception-resnet and the impact of residual connections on learning. In Proceedings of Thirty-First AAAI Conference on Artificial Intelligence.","key":"e_1_3_2_1_27_1"},{"key":"e_1_3_2_1_28_1","first-page":"815","volume-title":"Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition;","author":"Schroff F.","unstructured":"Schroff , F. ; Kalenichenko , D. ; Philbin , J. Facenet : A unified embedding for face recognition and clustering . In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 815 -- 823 . Schroff, F.; Kalenichenko, D.; Philbin, J. Facenet: A unified embedding for face recognition and clustering. In Proceedings of Proceedings of the IEEE conference on computer vision and pattern recognition; pp. 815--823."},{"key":"e_1_3_2_1_29_1","volume-title":"Very low resolution face recognition problem","author":"Zou W.W.","year":"2011","unstructured":"Zou , W.W. ; Yuen , P.C. Very low resolution face recognition problem . IEEE Transactions on image processing 2011 , 21, 327--340. Zou, W.W.; Yuen, P.C. Very low resolution face recognition problem. IEEE Transactions on image processing 2011, 21, 327--340."},{"key":"e_1_3_2_1_30_1","volume-title":"Low-resolution face recognition via coupled locality preserving mappings","author":"Li B.","year":"2009","unstructured":"Li , B. ; Chang , H. ; Shan , S. ; Chen , X. Low-resolution face recognition via coupled locality preserving mappings . IEEE Signal processing letters 2009 , 17, 20--23. Li, B.; Chang, H.; Shan, S.; Chen, X. Low-resolution face recognition via coupled locality preserving mappings. IEEE Signal processing letters 2009, 17, 20--23."},{"key":"e_1_3_2_1_31_1","first-page":"121","volume":"2010","author":"Huang H.","unstructured":"Huang , H. ; He , H. Super -resolution method for face recognition using nonlinear mappings on coherent features. IEEE Transactions on Neural Networks 2010 , 22, 121 -- 130 . Huang, H.; He, H. Super-resolution method for face recognition using nonlinear mappings on coherent features. IEEE Transactions on Neural Networks 2010, 22, 121--130.","journal-title":"Neural Networks"},{"key":"e_1_3_2_1_32_1","volume-title":"Multidimensional scaling for matching low-resolution face images","author":"Biswas S.","year":"2011","unstructured":"Biswas , S. ; Bowyer , K.W. ; Flynn , P.J. Multidimensional scaling for matching low-resolution face images . IEEE transactions on pattern analysis and machine intelligence 2011 , 34, 2019--2030. Biswas, S.; Bowyer, K.W.; Flynn, P.J. Multidimensional scaling for matching low-resolution face images. IEEE transactions on pattern analysis and machine intelligence 2011, 34, 2019--2030."},{"key":"e_1_3_2_1_33_1","first-page":"388","volume":"2017","author":"Yang F.","unstructured":"Yang , F. ; Yang , W. ; Gao , R. ; Liao , Q. Discriminative multidimensional scaling for low-resolution face recognition. IEEE Signal Processing Letters 2017 , 25, 388 -- 392 .. Yang, F.; Yang, W.; Gao, R.; Liao, Q. Discriminative multidimensional scaling for low-resolution face recognition. IEEE Signal Processing Letters 2017, 25, 388--392..","journal-title":"IEEE Signal Processing Letters"}],"event":{"sponsor":["Beijing University of Technology"],"acronym":"ICCPR 2020","name":"ICCPR 2020: 2020 9th International Conference on Computing and Pattern Recognition","location":"Xiamen China"},"container-title":["Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3436369.3436490","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3436369.3436490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:32:51Z","timestamp":1750199571000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3436369.3436490"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":33,"alternative-id":["10.1145\/3436369.3436490","10.1145\/3436369"],"URL":"https:\/\/doi.org\/10.1145\/3436369.3436490","relation":{},"subject":[],"published":{"date-parts":[[2020,10,30]]},"assertion":[{"value":"2021-01-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}