{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T15:55:13Z","timestamp":1774626913133,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,6,22]],"date-time":"2015-06-22T00:00:00Z","timestamp":1434931200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Hong Kong Scholar program"},{"name":"Hi-Tech Research and Development Program of China","award":["no.2013AA013801"],"award-info":[{"award-number":["no.2013AA013801"]}]},{"name":"Guangdong Natural Science Foundation","award":["no.S2013050014548"],"award-info":[{"award-number":["no.S2013050014548"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,6,22]]},"DOI":"10.1145\/2671188.2749321","type":"proceedings-article","created":{"date-parts":[[2015,6,22]],"date-time":"2015-06-22T15:37:08Z","timestamp":1434987428000},"page":"627-634","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":116,"title":["End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning"],"prefix":"10.1145","author":[{"given":"Liliang","family":"Zhang","sequence":"first","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Lin","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian","family":"Wu","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengyong","family":"Ding","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,6,22]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"2843","volume-title":"Advances in neural information processing systems","author":"Ciresan D.","year":"2012","unstructured":"D. Ciresan , A. Giusti , L. M. Gambardella , and J. Schmidhuber . Deep neural networks segment neuronal membranes in electron microscopy images . In Advances in neural information processing systems , pages 2843 -- 2851 , 2012 . D. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber. Deep neural networks segment neuronal membranes in electron microscopy images. In Advances in neural information processing systems, pages 2843--2851, 2012."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.04.005"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2198090"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"e_1_3_2_1_8_1","volume-title":"Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093","author":"Jia Y.","year":"2014","unstructured":"Y. Jia , E. Shelhamer , J. Donahue , S. Karayev , J. Long , R. Girshick , S. Guadarrama , and T. Darrell . Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093 , 2014 . Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093, 2014."},{"key":"e_1_3_2_1_9_1","first-page":"1097","volume-title":"Advances in neural information processing systems","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton . Imagenet classification with deep convolutional neural networks . In Advances in neural information processing systems , pages 1097 -- 1105 , 2012 . A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097--1105, 2012."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2210804"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1180639.1180783"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.39"},{"key":"e_1_3_2_1_13_1","volume-title":"Nov.","author":"Long J.","year":"2015","unstructured":"J. Long , E. Shelhamer , and T. Darrell . Fully convolutional networks for semantic segmentation. CVPR (to appear) , Nov. 2015 . J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. CVPR (to appear), Nov. 2015."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.329"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2578726.2578785"},{"key":"e_1_3_2_1_16_1","volume-title":"International Conference on Learning Representations (ICLR 2014","author":"Sermanet P.","year":"2014","unstructured":"P. Sermanet , D. Eigen , X. Zhang , M. Mathieu , R. Fergus , and Y. LeCun . Overfeat: Integrated recognition, localization and detection using convolutional networks . In International Conference on Learning Representations (ICLR 2014 ). CBLS, April 2014 . P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. In International Conference on Learning Representations (ICLR 2014). CBLS, April 2014."},{"key":"e_1_3_2_1_17_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman . Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 , 2014 . K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/244130.244151"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_51"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.818353"},{"key":"e_1_3_2_1_21_1","volume-title":"International Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Wang S.","year":"2012","unstructured":"S. Wang , L. Zhang , L. Y., and Q. Pan . Semi-coupled dictionary learning with applications in image super-resolution and photo-sketch synthesis . In International Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , 2012 . S. Wang, L. Zhang, L. Y., and Q. Pan. Semi-coupled dictionary learning with applications in image super-resolution and photo-sketch synthesis. In International Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.222"},{"key":"e_1_3_2_1_23_1","first-page":"523","volume-title":"Advances in Neural Information Processing Systems","author":"Wang X.","year":"2014","unstructured":"X. Wang , L. Zhang , L. Lin , Z. Liang , and W. Zuo . Deep joint task learning for generic object extraction . In Advances in Neural Information Processing Systems , pages 523 -- 531 , 2014 . X. Wang, L. Zhang, L. Lin, Z. Liang, and W. Zuo. Deep joint task learning for generic object extraction. In Advances in Neural Information Processing Systems, pages 523--531, 2014."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.02.008"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6115625"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/1888212.1888245"}],"event":{"name":"ICMR '15: International Conference on Multimedia Retrieval","location":"Shanghai China","acronym":"ICMR '15","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 5th ACM on International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2671188.2749321","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2671188.2749321","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:12:35Z","timestamp":1750227155000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2671188.2749321"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,22]]},"references-count":26,"alternative-id":["10.1145\/2671188.2749321","10.1145\/2671188"],"URL":"https:\/\/doi.org\/10.1145\/2671188.2749321","relation":{},"subject":[],"published":{"date-parts":[[2015,6,22]]},"assertion":[{"value":"2015-06-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}