{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:46:08Z","timestamp":1772905568719,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T00:00:00Z","timestamp":1508716800000},"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":[[2017,10,23]]},"DOI":"10.1145\/3123266.3123438","type":"proceedings-article","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T13:04:26Z","timestamp":1508504666000},"page":"1531-1539","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Integrated Face Analytics Networks through Cross-Dataset Hybrid Training"],"prefix":"10.1145","author":[{"given":"Jianshu","family":"Li","sequence":"first","affiliation":[{"name":"National University of Singapore & SAP Innovation Center Network Singapore, Singapore, Singapore"}]},{"given":"Shengtao","family":"Xiao","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Fang","family":"Zhao","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Jian","family":"Zhao","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Jianan","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology University, Beijing, China"}]},{"given":"Jiashi","family":"Feng","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Shuicheng","family":"Yan","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Terence","family":"Sim","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2017,10,23]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Hakan Bilen and Andrea Vedaldi. 2016. Integrated perception with recurrent multi-task neural networks Advances in neural information processing systems. 235--243.  Hakan Bilen and Andrea Vedaldi. 2016. Integrated perception with recurrent multi-task neural networks Advances in neural information processing systems. 235--243."},{"key":"e_1_3_2_1_2_1","volume-title":"Universal representations: The missing link between faces, text, planktons, and cat breeds. arXiv preprint arXiv:1701.07275","author":"Bilen Hakan","year":"2017","unstructured":"Hakan Bilen and Andrea Vedaldi . 2017. Universal representations: The missing link between faces, text, planktons, and cat breeds. arXiv preprint arXiv:1701.07275 ( 2017 ). Hakan Bilen and Andrea Vedaldi. 2017. Universal representations: The missing link between faces, text, planktons, and cat breeds. arXiv preprint arXiv:1701.07275 (2017)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.191"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0667-3"},{"key":"e_1_3_2_1_5_1","volume-title":"Supervised transformer network for efficient face detection European Conference on Computer Vision","author":"Chen Dong","unstructured":"Dong Chen , Gang Hua , Fang Wen , and Jian Sun . 2016. Supervised transformer network for efficient face detection European Conference on Computer Vision . Springer , 122--138. Dong Chen, Gang Hua, Fang Wen, and Jian Sun. 2016. Supervised transformer network for efficient face detection European Conference on Computer Vision. Springer, 122--138."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997638"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_32"},{"key":"e_1_3_2_1_9_1","volume-title":"Ms-celeb-1m: A dataset and benchmark for large-scale face recognition European Conference on Computer Vision","author":"Guo Yandong","unstructured":"Yandong Guo , Lei Zhang , Yuxiao Hu , Xiaodong He , and Jianfeng Gao . 2016. Ms-celeb-1m: A dataset and benchmark for large-scale face recognition European Conference on Computer Vision . Springer , 87--102. Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao. 2016. Ms-celeb-1m: A dataset and benchmark for large-scale face recognition European Conference on Computer Vision. Springer, 87--102."},{"key":"e_1_3_2_1_10_1","volume-title":"arXiv preprint arXiv:1703.06870","author":"He Kaiming","year":"2017","unstructured":"Kaiming He , Georgia Gkioxari , Piotr Doll\u00e1r , and Ross Girshick . 2017. Mask R-CNN. arXiv preprint arXiv:1703.06870 ( 2017 ). Kaiming He, Georgia Gkioxari, Piotr Doll\u00e1r, and Ross Girshick. 2017. Mask R-CNN. arXiv preprint arXiv:1703.06870 (2017)."},{"key":"e_1_3_2_1_11_1","volume-title":"The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. arXiv preprint arXiv:1611.09326","author":"J\u00e9gou Simon","year":"2016","unstructured":"Simon J\u00e9gou , Michal Drozdzal , David Vazquez , Adriana Romero , and Yoshua Bengio . 2016. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. arXiv preprint arXiv:1611.09326 ( 2016 ). Simon J\u00e9gou, Michal Drozdzal, David Vazquez, Adriana Romero, and Yoshua Bengio. 2016. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. arXiv preprint arXiv:1611.09326 (2016)."},{"key":"e_1_3_2_1_12_1","volume-title":"Real-world Database for Facial Landmark Localization. In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies.","author":"Koestinger Martin","year":"2011","unstructured":"Martin Koestinger , Paul Wohlhart , Peter M. Roth , and Horst Bischof . 2011 . Annotated Facial Landmarks in the Wild: A Large-scale , Real-world Database for Facial Landmark Localization. In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies. Martin Koestinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof. 2011. Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization. In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33712-3_49"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997636"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2984061"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Sifei Liu Jimei Yang Chang Huang and Ming-Hsuan Yang. 2015 b. Multi-objective convolutional learning for face labeling Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3451--3459.  Sifei Liu Jimei Yang Chang Huang and Ming-Hsuan Yang. 2015 b. Multi-objective convolutional learning for face labeling Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3451--3459.","DOI":"10.1109\/CVPR.2015.7298967"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"e_1_3_2_1_18_1","volume-title":"Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition. arXiv preprint arXiv:1603.01249","author":"Ranjan Rajeev","year":"2016","unstructured":"Rajeev Ranjan , Vishal M Patel , and Rama Chellappa . 2016 . Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition. arXiv preprint arXiv:1603.01249 (2016). Rajeev Ranjan, Vishal M Patel, and Rama Chellappa. 2016. Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition. arXiv preprint arXiv:1603.01249 (2016)."},{"key":"e_1_3_2_1_19_1","unstructured":"Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks Advances in neural information processing systems. 91--99.   Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks Advances in neural information processing systems. 91--99."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.447"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Bo Sun Qinglan Wei Jun He Lejun Yu and Xiaoming Zhu. 2016. BNU-LSVED: a multimodal spontaneous expression database in educational environment SPIE Optical Engineering  Bo Sun Qinglan Wei Jun He Lejun Yu and Xiaoming Zhu. 2016. BNU-LSVED: a multimodal spontaneous expression database in educational environment SPIE Optical Engineering","DOI":"10.1117\/12.2235892"},{"key":"e_1_3_2_1_23_1","unstructured":"Applications. International Society for Optics and Photonics 997016--997016.  Applications. International Society for Optics and Photonics 997016--997016."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Bo Sun Di Zhang Jun He Lejun Yu and Xuewen Wu. 2015. Multi-feature-based robust face detection and coarse alignment method via multiple kernel learning. In SPIE Security  Bo Sun Di Zhang Jun He Lejun Yu and Xuewen Wu. 2015. Multi-feature-based robust face detection and coarse alignment method via multiple kernel learning. In SPIE Security","DOI":"10.1117\/12.2194254"},{"key":"e_1_3_2_1_25_1","unstructured":"Defence. International Society for Optics and Photonics 96520H--96520H.  Defence. International Society for Optics and Photonics 96520H--96520H."},{"key":"e_1_3_2_1_27_1","volume-title":"Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks European Conference on Computer Vision","author":"Xiao Shengtao","unstructured":"Shengtao Xiao , Jiashi Feng , Junliang Xing , Hanjiang Lai , Shuicheng Yan , and Ashraf Kassim . 2016. Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks European Conference on Computer Vision . Springer , 57--72. Shengtao Xiao, Jiashi Feng, Junliang Xing, Hanjiang Lai, Shuicheng Yan, and Ashraf Kassim. 2016. Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks European Conference on Computer Vision. Springer, 57--72."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.75"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.244"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"e_1_3_2_1_31_1","volume-title":"Chen Change Loy, and Xiaoou Tang","author":"Zhang Zhanpeng","year":"2014","unstructured":"Zhanpeng Zhang , Ping Luo , Chen Change Loy, and Xiaoou Tang . 2014 . Facial landmark detection by deep multi-task learning European Conference on Computer Vision. Springer , 94--108. Zhanpeng Zhang, Ping Luo, Chen Change Loy, and Xiaoou Tang. 2014. Facial landmark detection by deep multi-task learning European Conference on Computer Vision. Springer, 94--108."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25393-0_25"},{"key":"e_1_3_2_1_33_1","volume-title":"2012 IEEE Conference on. IEEE, 2879--2886","author":"Zhu Xiangxin","year":"2012","unstructured":"Xiangxin Zhu and Deva Ramanan . 2012 . Face detection, pose estimation, and landmark localization in the wild Computer Vision and Pattern Recognition (CVPR) , 2012 IEEE Conference on. IEEE, 2879--2886 . Xiangxin Zhu and Deva Ramanan. 2012. Face detection, pose estimation, and landmark localization in the wild Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2879--2886."}],"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\/3123266.3123438","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3123266.3123438","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\/3123266.3123438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,23]]},"references-count":32,"alternative-id":["10.1145\/3123266.3123438","10.1145\/3123266"],"URL":"https:\/\/doi.org\/10.1145\/3123266.3123438","relation":{},"subject":[],"published":{"date-parts":[[2017,10,23]]},"assertion":[{"value":"2017-10-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}