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Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking . IEEE TIP 29 (2020), 2999 -- 3013 . Qing Guo, Ruize Han, Wei Feng, Zhihao Chen, and Liang Wan. 2020. Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking. IEEE TIP 29 (2020), 2999--3013.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_26_1","volume-title":"Watch out! Motion is Blurring the Vision of Your Deep Neural Networks. arXiv preprint arXiv:2002.03500","author":"Guo Qing","year":"2020","unstructured":"Qing Guo , Felix Juefei-Xu , Xiaofei Xie , Lei Ma , Jian Wang , Bing Yu , Wei Feng , and Yang Liu . 2020. Watch out! Motion is Blurring the Vision of Your Deep Neural Networks. arXiv preprint arXiv:2002.03500 ( 2020 ). Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, and Yang Liu. 2020. Watch out! Motion is Blurring the Vision of Your Deep Neural Networks. arXiv preprint arXiv:2002.03500 (2020)."},{"key":"e_1_3_2_2_27_1","volume-title":"SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking. European Conference on Computer Vision (ECCV)","author":"Guo Qing","year":"2020","unstructured":"Qing Guo , Xiaofei Xie , Felix Juefei-Xu , Lei Ma , Zhongguo Li , Wanli Xue , Wei Feng , and Yang Liu . 2020 . SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking. European Conference on Computer Vision (ECCV) (2020). Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, and Yang Liu. 2020. SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking. European Conference on Computer Vision (ECCV) (2020)."},{"key":"e_1_3_2_2_28_1","volume-title":"Deepfake Video Detection Using Recurrent Neural Networks. In 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). 1--6.","author":"G\u00fcera D.","unstructured":"D. G\u00fcera and E. J. Delp . 2018 . Deepfake Video Detection Using Recurrent Neural Networks. In 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). 1--6. D. G\u00fcera and E. J. Delp. 2018. Deepfake Video Detection Using Recurrent Neural Networks. In 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). 1--6."},{"key":"e_1_3_2_2_29_1","volume-title":"Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916751"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Javier Hernandez-Ortega Julian Fierrez Aythami Morales and Pedro Tome. 2018. Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR. 657--6578.  Javier Hernandez-Ortega Julian Fierrez Aythami Morales and Pedro Tome. 2018. Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR. 657--6578.","DOI":"10.1109\/CVPRW.2018.00096"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Guillaume Heusch and S\u00e9bastien Marcel. 2018. Pulse-based Features for Face Presentation Attack Detection. 1--8.  Guillaume Heusch and S\u00e9bastien Marcel. 2018. 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FakeLocator: Robust Localization of GAN-Based Face Manipulations. arXiv preprint arXiv:2001.09598 (2020)."},{"key":"e_1_3_2_2_35_1","volume-title":"Noncontact simultaneous dual wavelength photoplethysmography: A further step toward noncontact pulse oximetry. The Review of scientific instruments 78 (05","author":"Humphreys Kenneth","year":"2007","unstructured":"Kenneth Humphreys , Tomas Ward , and Charles Markham . 2007. Noncontact simultaneous dual wavelength photoplethysmography: A further step toward noncontact pulse oximetry. The Review of scientific instruments 78 (05 2007 ), 044304. https:\/\/doi.org\/10.1063\/1.2724789 10.1063\/1.2724789 Kenneth Humphreys, Tomas Ward, and Charles Markham. 2007. Noncontact simultaneous dual wavelength photoplethysmography: A further step toward noncontact pulse oximetry. 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STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. arXiv:cs.CV\/1904.09709 Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, and Shilei Wen. 2019. STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. arXiv:cs.CV\/1904.09709"},{"key":"e_1_3_2_2_42_1","unstructured":"Yaojie Liu Amin Jourabloo and Xiaoming Liu. 2018. Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision. 389--398.  Yaojie Liu Amin Jourabloo and Xiaoming Liu. 2018. Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision. 389--398."},{"key":"e_1_3_2_2_43_1","volume-title":"DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems. 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Deferred Neural Rendering: Image Synthesis using Neural Textures. arXiv:cs.CV\/1904.12356  Justus Thies Michael Zollh\u00f6fer and Matthias Nie\u00dfner. 2019. Deferred Neural Rendering: Image Synthesis using Neural Textures. arXiv:cs.CV\/1904.12356"},{"key":"e_1_3_2_2_61_1","volume-title":"Real-time Expression Transfer for Facial Reenactment. ACM Transactions on Graphics 34 (10","author":"Thies Justus","year":"2015","unstructured":"Justus Thies , Michael Zollh\u00f6fer , Matthias Nie\u00dfner , Levi Valgaerts , Marc Stamminger , and Christian Theobalt . 2015. Real-time Expression Transfer for Facial Reenactment. ACM Transactions on Graphics 34 (10 2015 ), 1--14. https: \/\/doi.org\/10.1145\/2816795.2818056 10.1145\/2816795.2818056 Justus Thies, Michael Zollh\u00f6fer, Matthias Nie\u00dfner, Levi Valgaerts, Marc Stamminger, and Christian Theobalt. 2015. Real-time Expression Transfer for Facial Reenactment. 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ACM International Conference on Multimedia (ACM MM)","author":"Wang Run","year":"2020","unstructured":"Run Wang , Felix Juefei-Xu , Yihao Huang , Qing Guo , Xiaofei Xie , Lei Ma , and Yang Liu . 2020 . DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. ACM International Conference on Multimedia (ACM MM) (2020). Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, and Yang Liu. 2020. DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. ACM International Conference on Multimedia (ACM MM) (2020)."},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/476"},{"key":"e_1_3_2_2_67_1","volume-title":"Eulerian Video Magnification for Revealing Subtle Changes in the World. ACM Transactions on Graphics (Proc. SIGGRAPH 2012)","author":"Wu Hao-Yu","year":"2012","unstructured":"Hao-Yu Wu , Michael Rubinstein , Eugene Shih , John Guttag , Fr\u00e9do Durand , and William T. Freeman . 2012 . Eulerian Video Magnification for Revealing Subtle Changes in the World. ACM Transactions on Graphics (Proc. SIGGRAPH 2012) 31, 4 ( 2012 ). Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John Guttag, Fr\u00e9do Durand, and William T. Freeman. 2012. Eulerian Video Magnification for Revealing Subtle Changes in the World. ACM Transactions on Graphics (Proc. SIGGRAPH 2012) 31, 4 (2012)."},{"key":"e_1_3_2_2_68_1","volume-title":"DeepHunter: A CoverageGuided Fuzz Testing Framework for Deep Neural Networks. In ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA).","author":"Xie Xiaofei","year":"2019","unstructured":"Xiaofei Xie , Lei Ma , Felix Juefei-Xu , Minhui Xue , Hongxu Chen , Yang Liu , Jianjun Zhao , Bo Li , Jianxiong Yin , and Simon See . 2019 . DeepHunter: A CoverageGuided Fuzz Testing Framework for Deep Neural Networks. In ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, and Simon See. 2019. DeepHunter: A CoverageGuided Fuzz Testing Framework for Deep Neural Networks. In ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)."},{"key":"e_1_3_2_2_69_1","unstructured":"Zitong Yu Wei Peng Xiaobai Li Xiaopeng Hong and Guoying Zhao. 2019. Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-toend Deep Learning Solution with Video Enhancement. arXiv:eess.IV\/1907.11921  Zitong Yu Wei Peng Xiaobai Li Xiaopeng Hong and Guoying Zhao. 2019. Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-toend Deep Learning Solution with Video Enhancement. arXiv:eess.IV\/1907.11921"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"crossref","unstructured":"Ce Zhou Qing Guo Liang Wan and Wei Feng. 2017. Selective object and context tracking. In ICASSP. 1947--1951.  Ce Zhou Qing Guo Liang Wan and Wei Feng. 2017. Selective object and context tracking. In ICASSP. 1947--1951.","DOI":"10.1109\/ICASSP.2017.7952496"},{"key":"e_1_3_2_2_71_1","volume-title":"Davis","author":"Zhou Peng","year":"2018","unstructured":"Peng Zhou , Xintong Han , Vlad I. Morariu , and Larry S . Davis . 2018 . Two-Stream Neural Networks for Tampered Face Detection . arXiv:cs.CV\/1803.11276 Peng Zhou, Xintong Han, Vlad I. Morariu, and Larry S. Davis. 2018. 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