{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:16:03Z","timestamp":1753600563757,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Shanghai science and technology committee","award":["19511121002"],"award-info":[{"award-number":["19511121002"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413993","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T13:10:18Z","timestamp":1602508218000},"page":"4135-4143","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Spatial-Temporal Knowledge Integration: Robust Self-Supervised Facial Landmark Tracking"],"prefix":"10.1145","author":[{"given":"Congcong","family":"Zhu","sequence":"first","affiliation":[{"name":"Shanghai University, shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqiang","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai University, shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jide","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai University, shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangtai","family":"Ding","sequence":"additional","affiliation":[{"name":"Shanghai University, shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiqin","family":"Tong","sequence":"additional","affiliation":[{"name":"Shanghai University, shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2014. FGNET: Talking Face Video. (2014). http:\/\/www-prima.inrialpes.fr\/FGnet\/data\/01-TalkingFace\/talking_face.html  2014. FGNET: Talking Face Video. (2014). http:\/\/www-prima.inrialpes.fr\/FGnet\/data\/01-TalkingFace\/talking_face.html"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.240"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Adrian Bulat and Georgios Tzimiropoulos. 2017. How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230 000 3d facial landmarks). In ICCV. 1021--1030.  Adrian Bulat and Georgios Tzimiropoulos. 2017. How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230 000 3d facial landmarks). In ICCV. 1021--1030.","DOI":"10.1109\/ICCV.2017.116"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0667-3"},{"key":"e_1_3_2_2_5_1","volume-title":"Chang","author":"Chang Che-Han","year":"2017","unstructured":"Che-Han Chang , Chun-Nan Chou , and Edward Y . Chang . 2017 . CLKN : Cascaded Lucas-Kanade Networks for Image Alignment. In CVPR. 3777--3785. Che-Han Chang, Chun-Nan Chou, and Edward Y. Chang. 2017. CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. In CVPR. 3777--3785."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.927467"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Timothy F. Cootes Mircea C. Ionita Claudia Lindner and Patrick Sauer. 2012. Robust and Accurate Shape Model Fitting Using Random Forest Regression Voting. In ECCV. 278--291.  Timothy F. Cootes Mircea C. Ionita Claudia Lindner and Patrick Sauer. 2012. Robust and Accurate Shape Model Fitting Using Random Forest Regression Voting. In ECCV. 278--291.","DOI":"10.1007\/978-3-642-33786-4_21"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1995.1004"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00045"},{"key":"e_1_3_2_2_10_1","volume-title":"Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network. arXiv:1803.07835","author":"Feng Yao","year":"2018","unstructured":"Yao Feng , Fan Wu , Xiaohu Shao , Yanfeng Wang , and Xi Zhou . 2018. Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network. arXiv:1803.07835 ( 2018 ). Yao Feng, Fan Wu, Xiaohu Shao, Yanfeng Wang, and Xi Zhou. 2018. Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network. arXiv:1803.07835 (2018)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.607"},{"key":"e_1_3_2_2_12_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Carl Martin Grewe and Stefan Zachow. 2016. Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces. In ECCVW. 552--568.  Carl Martin Grewe and Stefan Zachow. 2016. Fully Automated and Highly Accurate Dense Correspondence for Facial Surfaces. In ECCVW. 552--568.","DOI":"10.1007\/978-3-319-48881-3_38"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.08.002"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Minghao Guo Jiwen Lu and Jie Zhou. 2018. Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking. In ECCV. 783--799.  Minghao Guo Jiwen Lu and Jie Zhou. 2018. Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking. In ECCV. 783--799.","DOI":"10.1007\/978-3-030-01249-6_47"},{"key":"e_1_3_2_2_16_1","unstructured":"Shi HL et al. 2016. Face Alignment Across Large Poses: A 3D Solution. In CVPR. 146--155.  Shi HL et al. 2016. Face Alignment Across Large Poses: A 3D Solution. In CVPR. 146--155."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Zhibin Hong Xue Mei Danil Prokhorov and Dacheng Tao. 2013. Tracking via Robust Multi-task Multi-view Joint Sparse Representation. In ICCV. 649--656.  Zhibin Hong Xue Mei Danil Prokhorov and Dacheng Tao. 2013. Tracking via Robust Multi-task Multi-view Joint Sparse Representation. In ICCV. 649--656.","DOI":"10.1109\/ICCV.2013.86"},{"key":"e_1_3_2_2_18_1","unstructured":"Junlin Hu Jiwen Lu and Yap-Peng Tan. 2014. Discriminative Deep Metric Learning for Face Verification in the Wild. In CVPR. 1875--1882.  Junlin Hu Jiwen Lu and Yap-Peng Tan. 2014. Discriminative Deep Metric Learning for Face Verification in the Wild. In CVPR. 1875--1882."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"Amin Jourabloo and Xiaoming Liu. 2016. Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting. In CVPR. 4188--4196.  Amin Jourabloo and Xiaoming Liu. 2016. Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting. In CVPR. 4188--4196.","DOI":"10.1109\/CVPR.2016.454"},{"key":"e_1_3_2_2_20_1","volume-title":"Face Tracking and Recognition with Visual Constraints in Real-World Videos","author":"Kim Minyoung","year":"2008","unstructured":"Minyoung Kim , Sanjiv Kumar , Vladimir Pavlovic , and Henry Rowley . 2008. Face Tracking and Recognition with Visual Constraints in Real-World Videos . Anchorage, AK . https:\/\/doi.org\/10.1109\/cvpr. 2008 .4587572 10.1109\/cvpr.2008.4587572 Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, and Henry Rowley. 2008. Face Tracking and Recognition with Visual Constraints in Real-World Videos. Anchorage, AK. https:\/\/doi.org\/10.1109\/cvpr.2008.4587572"},{"key":"e_1_3_2_2_21_1","volume-title":"Temporal ensembling for semi-supervised learning. arXiv preprint arXiv:1610.02242","author":"Laine Samuli","year":"2016","unstructured":"Samuli Laine and Timo Aila . 2016. Temporal ensembling for semi-supervised learning. arXiv preprint arXiv:1610.02242 ( 2016 ). Samuli Laine and Timo Aila. 2016. Temporal ensembling for semi-supervised learning. arXiv preprint arXiv:1610.02242 (2016)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2734779"},{"key":"e_1_3_2_2_23_1","unstructured":"Jiangjing Lv Xiaohu Shao Junliang Xing Cheng Cheng and Xi Zhou. 2017. A deep regression architecture with two-stage re-initialization for high performance facial landmark detection. In CVPR. 3691--3700.  Jiangjing Lv Xiaohu Shao Junliang Xing Cheng Cheng and Xi Zhou. 2017. A deep regression architecture with two-stage re-initialization for high performance facial landmark detection. In CVPR. 3691--3700."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00088"},{"key":"e_1_3_2_2_25_1","volume-title":"Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784","author":"Mirza Mehdi","year":"2014","unstructured":"Mehdi Mirza and Simon Osindero . 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 ( 2014 ). Mehdi Mirza and Simon Osindero. 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_32"},{"key":"e_1_3_2_2_27_1","volume-title":"Asian conference on computer vision. Springer, 709--720","author":"Nguyen Hieu V","year":"2010","unstructured":"Hieu V Nguyen and Li Bai . 2010 . Cosine similarity metric learning for face verification . In Asian conference on computer vision. Springer, 709--720 . Hieu V Nguyen and Li Bai. 2010. Cosine similarity metric learning for face verification. In Asian conference on computer vision. Springer, 709--720."},{"key":"e_1_3_2_2_28_1","volume-title":"Xiaoyu Wang, and Dimitris N. Metaxas.","author":"Peng Xi","year":"2016","unstructured":"Xi Peng , Rog\u00e9 rio Schmidt Feris , Xiaoyu Wang, and Dimitris N. Metaxas. 2016 . A Recurrent Encoder-Decoder Network for Sequential Face Alignment. In ECCV. 38--56. Xi Peng, Rog\u00e9 rio Schmidt Feris, Xiaoyu Wang, and Dimitris N. Metaxas. 2016. A Recurrent Encoder-Decoder Network for Sequential Face Alignment. In ECCV. 38--56."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.442"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00433"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.218"},{"key":"e_1_3_2_2_32_1","volume-title":"Antoine Chassang, Carlo Gatta, and Yoshua Bengio.","author":"Romero Adriana","year":"2014","unstructured":"Adriana Romero , Nicolas Ballas , Samira Ebrahimi Kahou , Antoine Chassang, Carlo Gatta, and Yoshua Bengio. 2014 . Fitnets : Hints for thin deep nets. arXiv preprint arXiv:1412.6550 (2014). Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio. 2014. Fitnets: Hints for thin deep nets. arXiv preprint arXiv:1412.6550 (2014)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.231"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.59"},{"key":"e_1_3_2_2_35_1","volume-title":"Georgios Tzimiropoulos, and Michel F. Valstar.","author":"Lozano Enrique S\u00e1","year":"2016","unstructured":"Enrique S\u00e1 nchez- Lozano , Brais Mart'i nez , Georgios Tzimiropoulos, and Michel F. Valstar. 2016 . Cascaded Continuous Regression for Real-Time Incremental Face Tracking. In ECCV. 645--661. Enrique S\u00e1 nchez-Lozano, Brais Mart'i nez, Georgios Tzimiropoulos, and Michel F. Valstar. 2016. Cascaded Continuous Regression for Real-Time Incremental Face Tracking. In ECCV. 645--661."},{"key":"e_1_3_2_2_36_1","volume-title":"International journal of computer vision","author":"Saragih Jason M","year":"2011","unstructured":"Jason M Saragih , Simon Lucey , and Jeffrey F Cohn . 2011. Deformable model fitting by regularized landmark mean-shift . International journal of computer vision , Vol. 91 , 2 ( 2011 ), 200--215. Jason M Saragih, Simon Lucey, and Jeffrey F Cohn. 2011. Deformable model fitting by regularized landmark mean-shift. International journal of computer vision, Vol. 91, 2 (2011), 200--215."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"Jie Shen Stefanos Zafeiriou Grigoris G. Chrysos Jean Kossaifi Georgios Tzimiropoulos and Maja Pantic. 2015. The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results. In ICCVW. 1003--1011.  Jie Shen Stefanos Zafeiriou Grigoris G. Chrysos Jean Kossaifi Georgios Tzimiropoulos and Maja Pantic. 2015. The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results. In ICCVW. 1003--1011.","DOI":"10.1109\/ICCVW.2015.132"},{"key":"e_1_3_2_2_38_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Two-Stream Convolutional Networks for Action Recognition in Videos. In NIPS. 568--576.  Karen Simonyan and Andrew Zisserman. 2014. Two-Stream Convolutional Networks for Action Recognition in Videos. In NIPS. 568--576."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.446"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018893"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","unstructured":"George Trigeorgis Patrick Snape Mihalis A Nicolaou Epameinondas Antonakos and Stefanos Zafeiriou. 2016. Mnemonic descent method: A recurrent process applied for end-to-end face alignment. In CVPR. 4177--4187.  George Trigeorgis Patrick Snape Mihalis A Nicolaou Epameinondas Antonakos and Stefanos Zafeiriou. 2016. Mnemonic descent method: A recurrent process applied for end-to-end face alignment. In CVPR. 4177--4187.","DOI":"10.1109\/CVPR.2016.453"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Georgios Tzimiropoulos. 2015a. Project-Out Cascaded Regression with an application to face alignment. In CVPR .  Georgios Tzimiropoulos. 2015a. Project-Out Cascaded Regression with an application to face alignment. In CVPR .","DOI":"10.1109\/CVPR.2015.7298989"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Georgios Tzimiropoulos. 2015b. Project-out cascaded regression with an application to face alignment. In CVPR. 3659--3667.  Georgios Tzimiropoulos. 2015b. Project-out cascaded regression with an application to face alignment. In CVPR. 3659--3667.","DOI":"10.1109\/CVPR.2015.7298989"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00267"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00227"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Xuehan Xiong and Fernando De la Torre. 2013. Supervised descent method and its applications to face alignment. In CVPR. 532--539.  Xuehan Xiong and Fernando De la Torre. 2013. Supervised descent method and its applications to face alignment. In CVPR. 532--539.","DOI":"10.1109\/CVPR.2013.75"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Xuehan Xiong and Fernando De la Torre. 2013. Supervised Descent Method and Its Applications to Face Alignment. In CVPR. 532--539.  Xuehan Xiong and Fernando De la Torre. 2013. Supervised Descent Method and Its Applications to Face Alignment. In CVPR. 532--539.","DOI":"10.1109\/CVPR.2013.75"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Jie Zhang Shiguang Shan Meina Kan and Xilin Chen. 2014. Coarse-to-fine auto-encoder networks (cfan) for real-time face alignment. In ECCV. 1--16.  Jie Zhang Shiguang Shan Meina Kan and Xilin Chen. 2014. Coarse-to-fine auto-encoder networks (cfan) for real-time face alignment. In ECCV. 1--16.","DOI":"10.1007\/978-3-319-10605-2_1"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2469286"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"crossref","unstructured":"Congcong Zhu Hao Liu Zhenhua Yu and Xuehong Sun. 2020. Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos.. In AAAI. 13090--13097.  Congcong Zhu Hao Liu Zhenhua Yu and Xuehong Sun. 2020. Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos.. In AAAI. 13090--13097.","DOI":"10.1609\/aaai.v34i07.7011"},{"key":"e_1_3_2_2_53_1","volume-title":"Chen Change Loy, and Xiaoou Tang","author":"Zhu Shizhan","year":"2015","unstructured":"Shizhan Zhu , Cheng Li , Chen Change Loy, and Xiaoou Tang . 2015 a. Face alignment by coarse-to-fine shape searching. In CVPR. 4998--5006. Shizhan Zhu, Cheng Li, Chen Change Loy, and Xiaoou Tang. 2015a. Face alignment by coarse-to-fine shape searching. In CVPR. 4998--5006."},{"key":"e_1_3_2_2_54_1","volume-title":"Chen Change Loy, and Xiaoou Tang","author":"Zhu Shizhan","year":"2015","unstructured":"Shizhan Zhu , Cheng Li , Chen Change Loy, and Xiaoou Tang . 2015 b. Face alignment by coarse-to-fine shape searching. In CVPR. 4998--5006. Shizhan Zhu, Cheng Li, Chen Change Loy, and Xiaoou Tang. 2015b. Face alignment by coarse-to-fine shape searching. In CVPR. 4998--5006."}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Seattle WA USA","acronym":"MM '20"},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413993","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:07Z","timestamp":1750195927000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413993"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":54,"alternative-id":["10.1145\/3394171.3413993","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413993","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}