{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:41:50Z","timestamp":1782319310112,"version":"3.54.5"},"publisher-location":"Cham","reference-count":53,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464534","type":"print"},{"value":"9783319464541","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46454-1_37","type":"book-chapter","created":{"date-parts":[[2016,9,15]],"date-time":"2016-09-15T09:15:09Z","timestamp":1473930909000},"page":"614-630","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":166,"title":["Deep Cascaded Bi-Network for Face Hallucination"],"prefix":"10.1007","author":[{"given":"Shizhan","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sifei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen Change","family":"Loy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoou","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,16]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Yang, S., Luo, P., Loy, C.C., Tang, X.: Wider face: A face detection benchmark. arXiv preprint arXiv:1511.06523 (2015)","DOI":"10.1109\/CVPR.2016.596"},{"issue":"2","key":"37_CR2","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s11263-013-0667-3","volume":"107","author":"X Cao","year":"2014","unstructured":"Cao, X., Wei, Y., Wen, F., Sun, J.: Face alignment by explicit shape regression. IJCV 107(2), 177\u2013190 (2014)","journal-title":"IJCV"},{"key":"37_CR3","doi-asserted-by":"crossref","unstructured":"Xiong, X., De la Torre, F.: Supervised descent method and its applications to face alignment. In: CVPR, pp. 532\u2013539 (2013)","DOI":"10.1109\/CVPR.2013.75"},{"key":"37_CR4","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M., Wolf, L.: DeepFace: Closing the gap to human-level performance in face verification. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.220"},{"key":"37_CR6","unstructured":"Jin, Y., Bouganis, C.S.: Robust multi-image based blind face hallucination. In: CVPR (2015)"},{"key":"37_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/978-3-642-33786-4_18","volume-title":"Computer Vision \u2013 ECCV 2012","author":"MF Tappen","year":"2012","unstructured":"Tappen, M.F., Liu, C.: A bayesian approach to alignment-based image hallucination. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VII. LNCS, vol. 7578, pp. 236\u2013249. Springer, Heidelberg (2012)"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Yang, C.Y., Liu, S., Yang, M.H.: Structured face hallucination. In: CVPR (2013)","DOI":"10.1109\/CVPR.2013.146"},{"key":"37_CR9","doi-asserted-by":"crossref","unstructured":"Kolouri, S., Rohde, G.K.: Transport-based single frame super resolution of very low resolution face images. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7299121"},{"key":"37_CR10","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/TSMCC.2005.848171","volume":"35","author":"X Wang","year":"2005","unstructured":"Wang, X., Tang, X.: Hallucinating face by eigentransformation. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 35, 425\u2013434 (2005)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev."},{"issue":"4","key":"37_CR11","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/TMM.2007.893346","volume":"9","author":"A Chakrabarti","year":"2007","unstructured":"Chakrabarti, A., Rajagopalan, A., Chellappa, R.: Super-resolution of face images using kernel PCA-based prior. IEEE Trans. Multimedia 9(4), 888\u2013892 (2007)","journal-title":"IEEE Trans. Multimedia"},{"key":"37_CR12","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s11263-006-0029-5","volume":"75","author":"C Liu","year":"2007","unstructured":"Liu, C., Shum, H.Y., Freeman, W.T.: Face hallucination: theory and practice. IJCV 75, 115\u2013134 (2007)","journal-title":"IJCV"},{"key":"37_CR13","unstructured":"Baker, S., Kanade, T.: Hallucinating faces. In: AFGR (2000)"},{"key":"37_CR14","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. In: PAMI (2015)"},{"key":"37_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Z., Liu, D., Yang, J., Han, W., Huang, T.: Deep networks for image super-resolution with sparse prior. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.50"},{"key":"37_CR16","doi-asserted-by":"crossref","unstructured":"Huang, J.B., Singh, A., Ahuja, N.: Single image super-resolution from transformed self-exemplars. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"37_CR17","doi-asserted-by":"crossref","unstructured":"Gu, S., Zuo, W., Xie, Q., Meng, D., Feng, X., Zhang, L.: Convolutional sparse coding for image super-resolution. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.212"},{"key":"37_CR18","unstructured":"Bruna, J., Sprechmann, P., LeCun, Y.: Super-resolution with deep convolutional sufficient statistics. In: ICLR (2016)"},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Salvador, J., Perez-Pellitero, E.: Naive bayes super-resolution forest. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.45"},{"key":"37_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1007\/978-3-319-46475-6_25","volume-title":"ECCV 2016, PART II","author":"C Dong","year":"2016","unstructured":"Dong, C., Loy, C.C., Tang, X.: Accelerating the super-resolution convolutional neural network. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016, PART II. LNCS, vol. 9906, pp. 391\u2013407. Springer, Heidelberg (2016)"},{"key":"37_CR21","series-title":"Lecture Notes in Computer Science","first-page":"353","volume-title":"ECCV 2016, PART III","author":"TW Hui","year":"2016","unstructured":"Hui, T.W., Loy, C.C., Tang, X.: Depth map super resolution by deep multi-scale guidance. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016, PART III. LNCS, vol. 9907, pp. 353\u2013369. Springer, Heidelberg (2016)"},{"key":"37_CR22","doi-asserted-by":"crossref","unstructured":"Ren, S., Cao, X., Wei, Y., Sun, J.: Face alignment at 3000 fps via regressing local binary features. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.218"},{"key":"37_CR23","doi-asserted-by":"crossref","unstructured":"Tzimiropoulos, G.: Project-out cascaded regression with an application to face alignment. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298989"},{"key":"37_CR24","doi-asserted-by":"crossref","unstructured":"Smith, B.M., Zhang, L., Brandt, J., Lin, Z., Yang, J.: Exemplar-based face parsing. In: CVPR, pp. 3484\u20133491 (2013)","DOI":"10.1109\/CVPR.2013.447"},{"key":"37_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/978-3-319-10602-1_4","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Z Cui","year":"2014","unstructured":"Cui, Z., Chang, H., Shan, S., Zhong, B., Chen, X.: Deep network cascade for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 49\u201364. Springer, Heidelberg (2014)"},{"key":"37_CR26","doi-asserted-by":"crossref","unstructured":"Zhou, E., Fan, H., Cao, Z., Jiang, Y., Yin, Q.: Learning face hallucination in the wild. In: AAAI (2015)","DOI":"10.1609\/aaai.v29i1.9795"},{"key":"37_CR27","doi-asserted-by":"crossref","unstructured":"Doll\u00e1r, P., Welinder, P., Perona, P.: Cascaded pose regression. In: CVPR, pp. 1078\u20131085 (2010)","DOI":"10.1109\/CVPR.2010.5540094"},{"key":"37_CR28","series-title":"Lecture Notes in Computer Science","first-page":"1","volume-title":"Computer Vision \u2013 ECCV 2014","author":"J Zhang","year":"2014","unstructured":"Zhang, J., Shan, S., Kan, M., Chen, X.: Coarse-to-fine auto-encoder networks (CFAN) for real-time face alignment. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part II. LNCS, vol. 8690, pp. 1\u201316. Springer, Heidelberg (2014)"},{"key":"37_CR29","unstructured":"Zhu, S., Li, C., Loy, C.C., Tang, X.: Face alignment by coarse-to-fine shape searching. In: CVPR (2015)"},{"key":"37_CR30","doi-asserted-by":"crossref","unstructured":"Zhu, S., Li, C., Loy, C.C., Tang, X.: Unconstrained face alignment via cascaded compositional learning. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.371"},{"key":"37_CR31","doi-asserted-by":"crossref","unstructured":"Wang, X., Valstar, M., Martinez, B., Haris Khan, M., Pridmore, T.: Tric-track: tracking by regression with incrementally learned cascades. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.493"},{"key":"37_CR32","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.1162\/089976600300015349","volume":"12","author":"JB Tenenbaum","year":"2000","unstructured":"Tenenbaum, J.B., Freeman, W.T.: Separating style and content with bilinear models. Neural Comput. 12, 1247\u20131283 (2000)","journal-title":"Neural Comput."},{"key":"37_CR33","unstructured":"Pirsiavash, H., Ramanan, D., Fowlkes, C.C.: Bilinear classifiers for visual recognition. In: NIPS (2009)"},{"key":"37_CR34","unstructured":"Xiong, Y., Zhu, K., Lin, D., Tang, X.: Recognize complex events from static images by fusing deep channels. In: CVPR (2015)"},{"key":"37_CR35","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., RoyChowdhury, A., Maji, S.: Bilinear CNN models for fine-grained visual recognition. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.170"},{"key":"37_CR36","doi-asserted-by":"crossref","unstructured":"Gao, Y., Beijbom, O., Zhang, N., Darrell, T.: Compact bilinear pooling. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.41"},{"key":"37_CR37","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS (2014)"},{"key":"37_CR38","doi-asserted-by":"crossref","unstructured":"Alabort-i Medina, J., Zafeiriou, S.: Unifying holistic and parts-based deformable model fitting. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298991"},{"key":"37_CR39","doi-asserted-by":"crossref","unstructured":"Snape, P., Roussos, A., Panagakis, Y., Zafeiriou, S.: Face flow. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.343"},{"issue":"6","key":"37_CR40","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1109\/34.927467","volume":"23","author":"TF Cootes","year":"2001","unstructured":"Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. TPAMI 23(6), 681\u2013685 (2001)","journal-title":"TPAMI"},{"issue":"5","key":"37_CR41","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1016\/j.imavis.2009.08.002","volume":"28","author":"R Gross","year":"2010","unstructured":"Gross, R., Matthews, I., Cohn, J., Kanade, T., Baker, S.: Multi-pie. Image Vis. Comput. 28(5), 807\u2013813 (2010)","journal-title":"Image Vis. Comput."},{"key":"37_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1007\/3-540-45344-X_14","volume-title":"Audio- and Video-Based Biometric Person Authentication","author":"O Jesorsky","year":"2001","unstructured":"Jesorsky, O., Kirchberg, K.J., Frischholz, R.W.: Robust face detection using the Hausdorff distance. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 90\u201395. Springer, Heidelberg (2001). doi: 10.1007\/3-540-45344-X_14"},{"key":"37_CR43","doi-asserted-by":"crossref","unstructured":"Kumar, N., Berg, A.C., Belhumeur, P.N., Nayar, S.K.: Attribute and simile classifiers for face verification. In: CVPR (2009)","DOI":"10.1109\/ICCV.2009.5459250"},{"key":"37_CR44","doi-asserted-by":"crossref","unstructured":"Pinto, N., Stone, Z., Zickler, T., Cox, D.: Scaling up biologically-inspired computer vision: a case study in unconstrained face recognition on facebook. In: CVPRW (2011)","DOI":"10.1109\/CVPRW.2011.5981788"},{"key":"37_CR45","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1007\/978-3-642-33712-3_49","volume-title":"Computer Vision \u2013 ECCV 2012","author":"V Le","year":"2012","unstructured":"Le, V., Brandt, J., Lin, Z., Bourdev, L., Huang, T.S.: Interactive facial feature localization. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 679\u2013692. Springer, Heidelberg (2012)"},{"key":"37_CR46","doi-asserted-by":"crossref","unstructured":"Sagonas, C., Tzimiropoulos, G., Zafeiriou, S., Pantic, M.: 300 faces in-the-wild challenge: the first facial landmark localization challenge. In: ICCVW (2013)","DOI":"10.1109\/ICCVW.2013.59"},{"issue":"10","key":"37_CR47","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1016\/j.imavis.2014.06.002","volume":"32","author":"X Zhang","year":"2014","unstructured":"Zhang, X., Yin, L., Cohn, J.F., Canavan, S., Reale, M., Horowitz, A., Liu, P., Girard, J.M.: BP4D-spontaneous: a high-resolution spontaneous 3d dynamic facial expression database. Image Vis. Comput. 32(10), 692\u2013706 (2014)","journal-title":"Image Vis. Comput."},{"key":"37_CR48","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yin, L., Cohn, J.F., Canavan, S., Reale, M., Horowitz, A., Liu, P.: A high-resolution spontaneous 3d dynamic facial expression database. In: 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (2013)","DOI":"10.1109\/FG.2013.6553788"},{"key":"37_CR49","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.425"},{"key":"37_CR50","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/978-3-319-16817-3_8","volume-title":"Computer Vision \u2013 ACCV 2014","author":"R Timofte","year":"2015","unstructured":"Timofte, R., De\u00a0Smet, V., Van\u00a0Gool, L.: A+: adjusted anchored neighborhood regression for fast super-resolution. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9006, pp. 111\u2013126. Springer, Heidelberg (2015)"},{"key":"37_CR51","unstructured":"Capel, D., Zisserman, A.: Super-resolution from multiple views using learnt image models. In: CVPR (2001)"},{"issue":"6","key":"37_CR52","doi-asserted-by":"publisher","first-page":"2224","DOI":"10.1016\/j.patcog.2009.12.019","volume":"43","author":"X Ma","year":"2010","unstructured":"Ma, X., Zhang, J., Qi, C.: Hallucinating face by position-patch. Pattern Recogn. 43(6), 2224\u20132236 (2010)","journal-title":"Pattern Recogn."},{"key":"37_CR53","doi-asserted-by":"crossref","unstructured":"Efrat, N., Glasner, D., Apartsin, A., Nadler, B., Levin, A.: Accurate blur models vs. image priors in single image super-resolution. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.352"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46454-1_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T14:56:21Z","timestamp":1657292181000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46454-1_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464534","9783319464541"],"references-count":53,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46454-1_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"16 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}