Literatura académica sobre el tema "FAKE VIDEOS"
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Artículos de revistas sobre el tema "FAKE VIDEOS"
Abidin, Muhammad Indra, Ingrid Nurtanio y Andani Achmad. "Deepfake Detection in Videos Using Long Short-Term Memory and CNN ResNext". ILKOM Jurnal Ilmiah 14, n.º 3 (19 de diciembre de 2022): 178–85. http://dx.doi.org/10.33096/ilkom.v14i3.1254.178-185.
Texto completoLópez-Gil, Juan-Miguel, Rosa Gil y Roberto García. "Do Deepfakes Adequately Display Emotions? A Study on Deepfake Facial Emotion Expression". Computational Intelligence and Neuroscience 2022 (18 de octubre de 2022): 1–12. http://dx.doi.org/10.1155/2022/1332122.
Texto completoArunkumar, P. M., Yalamanchili Sangeetha, P. Vishnu Raja y S. N. Sangeetha. "Deep Learning for Forgery Face Detection Using Fuzzy Fisher Capsule Dual Graph". Information Technology and Control 51, n.º 3 (23 de septiembre de 2022): 563–74. http://dx.doi.org/10.5755/j01.itc.51.3.31510.
Texto completoWang, Shuting (Ada), Min-Seok Pang y Paul Pavlou. "Seeing Is Believing? How Including a Video in Fake News Influences Users’ Reporting of Fake News to Social Media Platforms". MIS Quarterly 45, n.º 3 (1 de septiembre de 2022): 1323–54. http://dx.doi.org/10.25300/misq/2022/16296.
Texto completoDeng, Liwei, Hongfei Suo y Dongjie Li. "Deepfake Video Detection Based on EfficientNet-V2 Network". Computational Intelligence and Neuroscience 2022 (15 de abril de 2022): 1–13. http://dx.doi.org/10.1155/2022/3441549.
Texto completoShahar, Hadas y Hagit Hel-Or. "Fake Video Detection Using Facial Color". Color and Imaging Conference 2020, n.º 28 (4 de noviembre de 2020): 175–80. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.27.
Texto completoLin, Yih-Kai y Hao-Lun Sun. "Few-Shot Training GAN for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach". Electronics 12, n.º 6 (16 de marzo de 2023): 1417. http://dx.doi.org/10.3390/electronics12061417.
Texto completoLiang, Xiaoyun, Zhaohong Li, Zhonghao Li y Zhenzhen Zhang. "Fake Bitrate Detection of HEVC Videos Based on Prediction Process". Symmetry 11, n.º 7 (15 de julio de 2019): 918. http://dx.doi.org/10.3390/sym11070918.
Texto completoPei, Pengfei, Xianfeng Zhao, Jinchuan Li, Yun Cao y Xuyuan Lai. "Vision Transformer-Based Video Hashing Retrieval for Tracing the Source of Fake Videos". Security and Communication Networks 2023 (28 de junio de 2023): 1–16. http://dx.doi.org/10.1155/2023/5349392.
Texto completoDas, Rashmiranjan, Gaurav Negi y Alan F. Smeaton. "Detecting Deepfake Videos Using Euler Video Magnification". Electronic Imaging 2021, n.º 4 (18 de enero de 2021): 272–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.4.mwsf-272.
Texto completoTesis sobre el tema "FAKE VIDEOS"
Zou, Weiwen. "Face recognition from video". HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1431.
Texto completoLI, Songyu. "A New Hands-free Face to Face Video Communication Method : Profile based frontal face video reconstruction". Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-152457.
Texto completoLiu, Yiran. "Consistent and Accurate Face Tracking and Recognition in Videos". Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1588598739996101.
Texto completoCheng, Xin. "Nonrigid face alignment for unknown subject in video". Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/65338/1/Xin_Cheng_Thesis.pdf.
Texto completoJin, Yonghua. "A video human face tracker". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0032/MQ62226.pdf.
Texto completoArandjelović, Ognjen. "Automatic face recognition from video". Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613375.
Texto completoOmizo, Ryan Masaaki. "Facing Vernacular Video". The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339184415.
Texto completoHadid, A. (Abdenour). "Learning and recognizing faces: from still images to video sequences". Doctoral thesis, University of Oulu, 2005. http://urn.fi/urn:isbn:9514277597.
Texto completoFernando, Warnakulasuriya Anil Chandana. "Video processing in the compressed domain". Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326724.
Texto completoWibowo, Moh Edi. "Towards pose-robust face recognition on video". Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/77836/1/Moh%20Edi_Wibowo_Thesis.pdf.
Texto completoLibros sobre el tema "FAKE VIDEOS"
Mezaris, Vasileios, Lyndon Nixon, Symeon Papadopoulos y Denis Teyssou, eds. Video Verification in the Fake News Era. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0.
Texto completoNational Film Board of Canada, ed. Face to face video guide: Video resources for race relations training and education. Montréal: National Film Board of Canada, 1993.
Buscar texto completoJi, Qiang, Thomas B. Moeslund, Gang Hua y Kamal Nasrollahi, eds. Face and Facial Expression Recognition from Real World Videos. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13737-7.
Texto completoBai, Xiang, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang et al., eds. Video Analytics. Face and Facial Expression Recognition. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12177-8.
Texto completoScreening the face. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan, 2012.
Buscar texto completoPrager, Alex. Face in the crowd. Washington, DC: Corcoran Gallery of Art, 2013.
Buscar texto completoNasrollahi, Kamal, Cosimo Distante, Gang Hua, Andrea Cavallaro, Thomas B. Moeslund, Sebastiano Battiato y Qiang Ji, eds. Video Analytics. Face and Facial Expression Recognition and Audience Measurement. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56687-0.
Texto completoNoll, Katherine. Scholastic's Pokémon hall of fame. New York: Scholastic, 2004.
Buscar texto completoLevy, Frederick. 15 Minutes of Fame. New York: Penguin Group USA, Inc., 2008.
Buscar texto completoKurit︠s︡yn, Vi︠a︡cheslav, Naili︠a︡ Allakhverdieva, Marat Gelʹman y Iulii︠a︡ Sorokina. Lit︠s︡o nevesty: Sovremennoe iskusstvo Kazakhstana = Face of the bride : contemporary art of Kazakhstan. Permʹ: Muzeĭ sovremennogo iskusstva PERMM, 2012.
Buscar texto completoCapítulos de libros sobre el tema "FAKE VIDEOS"
Roy, Ritaban, Indu Joshi, Abhijit Das y Antitza Dantcheva. "3D CNN Architectures and Attention Mechanisms for Deepfake Detection". En Handbook of Digital Face Manipulation and Detection, 213–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_10.
Texto completoHedge, Amrita Shivanand, M. N. Vinutha, Kona Supriya, S. Nagasundari y Prasad B. Honnavalli. "CLH: Approach for Detecting Deep Fake Videos". En Communications in Computer and Information Science, 539–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8059-5_33.
Texto completoHernandez-Ortega, Javier, Ruben Tolosana, Julian Fierrez y Aythami Morales. "DeepFakes Detection Based on Heart Rate Estimation: Single- and Multi-frame". En Handbook of Digital Face Manipulation and Detection, 255–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_12.
Texto completoMarkatopoulou, Foteini, Markos Zampoglou, Evlampios Apostolidis, Symeon Papadopoulos, Vasileios Mezaris, Ioannis Patras y Ioannis Kompatsiaris. "Finding Semantically Related Videos in Closed Collections". En Video Verification in the Fake News Era, 127–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0_5.
Texto completoKordopatis-Zilos, Giorgos, Symeon Papadopoulos, Ioannis Patras y Ioannis Kompatsiaris. "Finding Near-Duplicate Videos in Large-Scale Collections". En Video Verification in the Fake News Era, 91–126. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0_4.
Texto completoSingh, Aadya, Abey Alex George, Pankaj Gupta y Lakshmi Gadhikar. "ShallowFake-Detection of Fake Videos Using Deep Learning". En Conference Proceedings of ICDLAIR2019, 170–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67187-7_19.
Texto completoPapadopoulou, Olga, Markos Zampoglou, Symeon Papadopoulos y Ioannis Kompatsiaris. "Verification of Web Videos Through Analysis of Their Online Context". En Video Verification in the Fake News Era, 191–221. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0_7.
Texto completoLong, Chengjiang, Arslan Basharat y Anthony Hoogs. "Video Frame Deletion and Duplication". En Multimedia Forensics, 333–62. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7621-5_13.
Texto completoBoccignone, Giuseppe, Sathya Bursic, Vittorio Cuculo, Alessandro D’Amelio, Giuliano Grossi, Raffaella Lanzarotti y Sabrina Patania. "DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos". En Image Analysis and Processing – ICIAP 2022, 186–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06430-2_16.
Texto completoBao, Heng, Lirui Deng, Jiazhi Guan, Liang Zhang y Xunxun Chen. "Improving Deepfake Video Detection with Comprehensive Self-consistency Learning". En Communications in Computer and Information Science, 151–61. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8285-9_11.
Texto completoActas de conferencias sobre el tema "FAKE VIDEOS"
Shang, Jiacheng y Jie Wu. "Protecting Real-time Video Chat against Fake Facial Videos Generated by Face Reenactment". En 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2020. http://dx.doi.org/10.1109/icdcs47774.2020.00082.
Texto completoLiu, Zhenguang, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu y Fuli Feng. "Copy Motion From One to Another: Fake Motion Video Generation". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/171.
Texto completoZhang, Daichi, Chenyu Li, Fanzhao Lin, Dan Zeng y Shiming Ge. "Detecting Deepfake Videos with Temporal Dropout 3DCNN". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/178.
Texto completoCelebi, Naciye, Qingzhong Liu y Muhammed Karatoprak. "A Survey of Deep Fake Detection for Trial Courts". En 9th International Conference on Artificial Intelligence and Applications (AIAPP 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120919.
Texto completoAgarwal, Shruti, Hany Farid, Ohad Fried y Maneesh Agrawala. "Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches". En 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2020. http://dx.doi.org/10.1109/cvprw50498.2020.00338.
Texto completoAgarwal, Shruti, Hany Farid, Tarek El-Gaaly y Ser-Nam Lim. "Detecting Deep-Fake Videos from Appearance and Behavior". En 2020 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2020. http://dx.doi.org/10.1109/wifs49906.2020.9360904.
Texto completoAgarwal, Shruti y Hany Farid. "Detecting Deep-Fake Videos from Aural and Oral Dynamics". En 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2021. http://dx.doi.org/10.1109/cvprw53098.2021.00109.
Texto completoGerstner, Candice R. y Hany Farid. "Detecting Real-Time Deep-Fake Videos Using Active Illumination". En 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2022. http://dx.doi.org/10.1109/cvprw56347.2022.00015.
Texto completoChauhan, Ruby, Renu Popli y Isha Kansal. "A Comprehensive Review on Fake Images/Videos Detection Techniques". En 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2022. http://dx.doi.org/10.1109/icrito56286.2022.9964871.
Texto completoMira, Fahad. "Deep Learning Technique for Recognition of Deep Fake Videos". En 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). IEEE, 2023. http://dx.doi.org/10.1109/globconet56651.2023.10150143.
Texto completoInformes sobre el tema "FAKE VIDEOS"
Grother, Patrick J., George W. Quinn y Mei Lee Ngan. Face in video evaluation (FIVE) face recognition of non-cooperative subjects. Gaithersburg, MD: National Institute of Standards and Technology, marzo de 2017. http://dx.doi.org/10.6028/nist.ir.8173.
Texto completoChen, Yi-Chen, Vishal M. Patel, Sumit Shekhar, Rama Chellappa y P. Jonathon Phillips. Video-based face recognition via joint sparse representation. Gaithersburg, MD: National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.ir.7906.
Texto completoLee, Yooyoung, P. Jonathon Phillips, James J. Filliben, J. Ross Beveridge y Hao Zhang. Identifying face quality and factor measures for video. National Institute of Standards and Technology, mayo de 2014. http://dx.doi.org/10.6028/nist.ir.8004.
Texto completoТарасова, Олена Юріївна y Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.
Texto completoDrury, J., S. Arias, T. Au-Yeung, D. Barr, L. Bell, T. Butler, H. Carter et al. Public behaviour in response to perceived hostile threats: an evidence base and guide for practitioners and policymakers. University of Sussex, 2023. http://dx.doi.org/10.20919/vjvt7448.
Texto completoNeural correlates of face familiarity in institutionalised children and links to attachment disordered behaviour. ACAMH, marzo de 2023. http://dx.doi.org/10.13056/acamh.23409.
Texto completoCybervictimization in adolescence and its association with subsequent suicidal ideation/attempt beyond face‐to‐face victimization: a longitudinal population‐based study – video Q & A. ACAMH, septiembre de 2020. http://dx.doi.org/10.13056/acamh.13319.
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