{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:21:05Z","timestamp":1770747665780,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T00:00:00Z","timestamp":1508371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["Grant No. BK20170856"],"award-info":[{"award-number":["Grant No. BK20170856"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61572493, Grant U1536203"],"award-info":[{"award-number":["No.61572493, Grant U1536203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10,19]]},"DOI":"10.1145\/3123266.3123431","type":"proceedings-article","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T13:04:26Z","timestamp":1508504666000},"page":"82-90","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":89,"title":["Face Aging with Contextual Generative Adversarial Nets"],"prefix":"10.1145","author":[{"given":"Si","family":"Liu","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}]},{"given":"Yao","family":"Sun","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}]},{"given":"Defa","family":"Zhu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}]},{"given":"Renda","family":"Bao","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Trento, Italy, Trento, Italy"}]},{"given":"Xiangbo","family":"Shu","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, Nanjing, China"}]},{"given":"Shuicheng","family":"Yan","sequence":"additional","affiliation":[{"name":"National University of Singapore, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2017,10,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Face Aging With Conditional Generative Adversarial Networks. arXiv:1702.01983","author":"Antipov Grigory","year":"2017","unstructured":"Grigory Antipov , Moez Baccouche , and Jean Luc Dugelay . 2017. Face Aging With Conditional Generative Adversarial Networks. arXiv:1702.01983 ( 2017 ). Grigory Antipov, Moez Baccouche, and Jean Luc Dugelay. 2017. Face Aging With Conditional Generative Adversarial Networks. arXiv:1702.01983 (2017)."},{"key":"e_1_3_2_1_2_1","unstructured":"Martin Arjovsky Soumith Chintala and L\u00e9on Bottou. 2017. Wasserstein GAN. (2017).  Martin Arjovsky Soumith Chintala and L\u00e9on Bottou. 2017. Wasserstein GAN. (2017)."},{"key":"e_1_3_2_1_3_1","volume-title":"Francisco Jos Perales Lopez, and Manuel Gonzlez","author":"Berg Alexandre Cruz","year":"2006","unstructured":"Alexandre Cruz Berg , Francisco Jos Perales Lopez, and Manuel Gonzlez . 2006 . A Facial Aging Simulation Method Using flaccidity deformation criteria. IV ( 2006). Alexandre Cruz Berg, Francisco Jos Perales Lopez, and Manuel Gonzlez. 2006. A Facial Aging Simulation Method Using flaccidity deformation criteria. IV (2006)."},{"key":"e_1_3_2_1_4_1","volume-title":"Chu Song Chen, and Winston H. Hsu","author":"Chen Bor Chun","year":"2014","unstructured":"Bor Chun Chen , Chu Song Chen, and Winston H. Hsu . 2014 . Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval . Bor Chun Chen, Chu Song Chen, and Winston H. Hsu. 2014. Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval."},{"key":"e_1_3_2_1_5_1","volume-title":"Yuille","author":"Chen Liang Chieh","year":"2016","unstructured":"Liang Chieh Chen , George Papandreou , Iasonas Kokkinos , Kevin Murphy , and Alan L . Yuille . 2016 . DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. In arXiv:1606.00915. Liang Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille. 2016. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. In arXiv:1606.00915."},{"key":"e_1_3_2_1_6_1","unstructured":"Neeraj Kumar Samreen Dhillon Peter Belhumeur Shree K. Nayar Dmitri Bitouk. 2008. ACM Trans. on Graphics (also Proc. of ACM SIGGRAPH).  Neeraj Kumar Samreen Dhillon Peter Belhumeur Shree K. Nayar Dmitri Bitouk. 2008. ACM Trans. on Graphics (also Proc. of ACM SIGGRAPH)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359646"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.36"},{"key":"e_1_3_2_1_9_1","volume-title":"Generative Adversarial Networks. NIPS","author":"Goodfellow Ian J.","year":"2014","unstructured":"Ian J. Goodfellow , Jean Pougetabadie , Mehdi Mirza , Bing Xu , David Wardefarley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014. Generative Adversarial Networks. NIPS ( 2014 ). Ian J. Goodfellow, Jean Pougetabadie, Mehdi Mirza, Bing Xu, David Wardefarley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Networks. NIPS (2014)."},{"key":"e_1_3_2_1_10_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Deep Residual Learning for Image Recognition. In CVPR.  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Deep Residual Learning for Image Recognition. In CVPR."},{"key":"e_1_3_2_1_11_1","unstructured":"Gary B. Huang Marwan Mattar Tamara Berg and Eric Learned-Miller. 2008. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments. (2008).  Gary B. Huang Marwan Mattar Tamara Berg and Eric Learned-Miller. 2008. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments. (2008)."},{"key":"e_1_3_2_1_12_1","volume-title":"Tinghui Zhou, and Alexei A. Efros.","author":"Isola Phillip","year":"2016","unstructured":"Phillip Isola , Jun Yan Zhu , Tinghui Zhou, and Alexei A. Efros. 2016 . Image-to-Image Translation with Conditional Adversarial Networks arXiv:1611.07004. Phillip Isola, Jun Yan Zhu, Tinghui Zhou, and Alexei A. Efros. 2016. Image-to-Image Translation with Conditional Adversarial Networks arXiv:1611.07004."},{"key":"e_1_3_2_1_13_1","volume-title":"Energy-based Generative Adversarial Network. arXiv:1609.03126","author":"LeCun Junbo Zhao Yann","year":"2017","unstructured":"Yann LeCun Junbo Zhao , Michael Mathieu . 2017. Energy-based Generative Adversarial Network. arXiv:1609.03126 ( 2017 ). Yann LeCun Junbo Zhao, Michael Mathieu. 2017. Energy-based Generative Adversarial Network. arXiv:1609.03126 (2017)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.426"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.993553"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Christian Ledig Lucas Theis Ferenc Huszar Jose Caballero Andrew Cunningham Alejandro Acosta Andrew Aitken Alykhan Tejani Johannes Totz and Zehan Wang. 2016. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802.  Christian Ledig Lucas Theis Ferenc Huszar Jose Caballero Andrew Cunningham Alejandro Acosta Andrew Aitken Alykhan Tejani Johannes Totz and Zehan Wang. 2016. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802.","DOI":"10.1109\/CVPR.2017.19"},{"key":"e_1_3_2_1_17_1","unstructured":"Mu Li Wangmeng Zuo and David Zhang. 2016. Deep Identity-aware Transfer of Facial Attributes. arXiv:1610.05586.  Mu Li Wangmeng Zuo and David Zhang. 2016. Deep Identity-aware Transfer of Facial Attributes. arXiv:1610.05586."},{"key":"e_1_3_2_1_18_1","volume-title":"2016 a. Deep Aging Face Verification With Large Gaps. TMM","author":"Liu L.","year":"2016","unstructured":"L. Liu , C. Xiong , H. Zhang , and Z. Niu . 2016 a. Deep Aging Face Verification With Large Gaps. TMM ( 2016 ). L. Liu, C. Xiong, H. Zhang, and Z. Niu. 2016 a. Deep Aging Face Verification With Large Gaps. TMM (2016)."},{"key":"e_1_3_2_1_19_1","volume-title":"Surveillance Video Parsing with Single Frame Supervision. CVPR","author":"Liu Si","year":"2017","unstructured":"Si Liu , Changhu Wang , Ruihe Qian , Han Yu , Renda Bao , and Yao Sun . 2017. Surveillance Video Parsing with Single Frame Supervision. CVPR ( 2017 ). Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, and Yao Sun. 2017. Surveillance Video Parsing with Single Frame Supervision. CVPR (2017)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Si Liu Tianzhu Zhang Xiaochun Cao and Changsheng Xu. 2016 b. Structural correlation filter for robust visual tracking CVPR.  Si Liu Tianzhu Zhang Xiaochun Cao and Changsheng Xu. 2016 b. Structural correlation filter for robust visual tracking CVPR.","DOI":"10.1109\/CVPR.2016.467"},{"key":"e_1_3_2_1_21_1","volume-title":"Conditional Generative Adversarial Nets. Computer Science","author":"Mirza Mehdi","year":"2014","unstructured":"Mehdi Mirza and Simon Osindero . 2014. Conditional Generative Adversarial Nets. Computer Science ( 2014 ). Mehdi Mirza and Simon Osindero. 2014. Conditional Generative Adversarial Nets. Computer Science (2014)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.14"},{"key":"e_1_3_2_1_23_1","volume-title":"Efros","author":"Pathak Deepak","year":"2016","unstructured":"Deepak Pathak , Philipp Krahenbuhl , Jeff Donahue , Trevor Darrell , and Alexei A . Efros . 2016 . Context Encoders : Feature Learning by Inpainting. CVPR ( 2016). Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A. Efros. 2016. Context Encoders: Feature Learning by Inpainting. CVPR (2016)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"E Patterson A Sethuram M Albert and K Ricanek. 2007. Aspects of Age Variation in Facial Morphology Affecting Biometrics ICB.  E Patterson A Sethuram M Albert and K Ricanek. 2007. Aspects of Age Variation in Facial Morphology Affecting Biometrics ICB.","DOI":"10.1109\/BTAS.2007.4401953"},{"key":"e_1_3_2_1_25_1","volume-title":"Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. arXiv:1701.06264","author":"Guo-Jun Qi.","year":"2017","unstructured":"Guo-Jun Qi. 2017. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. arXiv:1701.06264 ( 2017 ). Guo-Jun Qi. 2017. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. arXiv:1701.06264 (2017)."},{"key":"e_1_3_2_1_26_1","volume-title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Computer Science","author":"Radford Alec","year":"2015","unstructured":"Alec Radford , Luke Metz , and Soumith Chintala . 2015. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Computer Science ( 2015 ). Alec Radford, Luke Metz, and Soumith Chintala. 2015. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Computer Science (2015)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3127922"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2571062"},{"key":"e_1_3_2_1_29_1","volume-title":"Single image dehazing via multi-scale convolutional neural networks European Conference on Computer Vision","author":"Ren Wenqi","unstructured":"Wenqi Ren , Si Liu , Hua Zhang , Jinshan Pan , Xiaochun Cao , and Ming-Hsuan Yang . 2016. Single image dehazing via multi-scale convolutional neural networks European Conference on Computer Vision . Springer , 154--169. Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang. 2016. Single image dehazing via multi-scale convolutional neural networks European Conference on Computer Vision. Springer, 154--169."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/FGR.2006.78"},{"key":"e_1_3_2_1_31_1","volume-title":"DEX: Deep EXpectation of Apparent Age from a Single Image CVPR workshop.","author":"Rothe Rasmus","year":"2015","unstructured":"Rasmus Rothe , Radu Timofte , and Luc Van Gool . 2015 . DEX: Deep EXpectation of Apparent Age from a Single Image CVPR workshop. Rasmus Rothe, Radu Timofte, and Luc Van Gool. 2015. DEX: Deep EXpectation of Apparent Age from a Single Image CVPR workshop."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Amrutha Sethuram Karl Ricanek and Eric Patterson. 2010. A hierarchical approach to facial aging. (2010).  Amrutha Sethuram Karl Ricanek and Eric Patterson. 2010. A hierarchical approach to facial aging. (2010).","DOI":"10.1109\/CVPRW.2010.5543611"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.452"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.39"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2342896.2343002"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/38.946630"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.230"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Wei Wang Zhen Cui Yan Yan Jiashi Feng Shuicheng Yan Xiangbo Shu and Nicu Sebe. 2016. Recurrent Face Aging CVPR.  Wei Wang Zhen Cui Yan Yan Jiashi Feng Shuicheng Yan Xiangbo Shu and Nicu Sebe. 2016. Recurrent Face Aging CVPR.","DOI":"10.1109\/CVPR.2016.261"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Zhen Wei Yao Sun Jinqiao Wang Hanjiang Lai and Si Liu. 2017. Learning Adaptive Receptive Fields for Deep Image Parsing Network CVPR.  Zhen Wei Yao Sun Jinqiao Wang Hanjiang Lai and Si Liu. 2017. Learning Adaptive Receptive Fields for Deep Image Parsing Network CVPR.","DOI":"10.1109\/CVPR.2017.420"},{"key":"e_1_3_2_1_41_1","unstructured":"Yandong Wen Kaipeng Zhang Zhifeng Li and Yu Qiao. 2016. A Discriminative Feature Learning Approach for Deep Face Recognition ECCV.  Yandong Wen Kaipeng Zhang Zhifeng Li and Yu Qiao. 2016. A Discriminative Feature Learning Approach for Deep Face Recognition ECCV."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3127928"},{"key":"e_1_3_2_1_43_1","volume-title":"Zeiler and Rob Fergus","author":"Matthew","year":"2014","unstructured":"Matthew D. Zeiler and Rob Fergus . 2014 . Visualizing and Understanding Convolutional Networks ECCV. Matthew D. Zeiler and Rob Fergus. 2014. Visualizing and Understanding Convolutional Networks ECCV."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Tianzhu Zhang Si Liu Changsheng Xu Shuicheng Yan Bernard Ghanem Narendra Ahuja and Ming-Hsuan Yang. 2015. Structural sparse tracking. In CVPR.  Tianzhu Zhang Si Liu Changsheng Xu Shuicheng Yan Bernard Ghanem Narendra Ahuja and Ming-Hsuan Yang. 2015. Structural sparse tracking. In CVPR.","DOI":"10.1109\/CVPR.2015.7298610"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Zhifei Zhang Yang Song and Hairong Qi. 2017. Age Progression\/Regression by Conditional Adversarial Autoencoder arXiv:1702.08423.  Zhifei Zhang Yang Song and Hairong Qi. 2017. Age Progression\/Regression by Conditional Adversarial Autoencoder arXiv:1702.08423.","DOI":"10.1109\/CVPR.2017.463"},{"key":"e_1_3_2_1_46_1","volume-title":"Efros","author":"Zhu Jun Yan","year":"2016","unstructured":"Jun Yan Zhu , Philipp Kr\u00e4henb\u00fchl , Eli Shechtman , and Alexei A . Efros . 2016 . Generative Visual Manipulation on the Natural Image Manifold ECCV. Jun Yan Zhu, Philipp Kr\u00e4henb\u00fchl, Eli Shechtman, and Alexei A. Efros. 2016. Generative Visual Manipulation on the Natural Image Manifold ECCV."},{"key":"e_1_3_2_1_47_1","volume-title":"Efros","author":"Zhu Jun-Yan","year":"2017","unstructured":"Jun-Yan Zhu , Taesung Park , Phillip Isola , and Alexei A . Efros . 2017 . Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks . arXiv:1703.10593 (2017). Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros. 2017. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. arXiv:1703.10593 (2017)."}],"event":{"name":"MM '17: ACM Multimedia Conference","location":"Mountain View California USA","acronym":"MM '17","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 25th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3123266.3123431","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3123266.3123431","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:14:04Z","timestamp":1750212844000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3123266.3123431"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,19]]},"references-count":47,"alternative-id":["10.1145\/3123266.3123431","10.1145\/3123266"],"URL":"https:\/\/doi.org\/10.1145\/3123266.3123431","relation":{},"subject":[],"published":{"date-parts":[[2017,10,19]]},"assertion":[{"value":"2017-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}