{"id": "e4754afaa15b1b53e70743880484b8d0736990ff", "paper": {"paperId": "e4754afaa15b1b53e70743880484b8d0736990ff", "key": "fiw_300", "title": "300 Faces In-The-Wild Challenge: database and results", "journal": "Image Vision Comput.", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://ibug.doc.ic.ac.uk/media/uploads/documents/1-s2.0-s0262885616000147-main.pdf", "report_link": "papers/e4754afaa15b1b53e70743880484b8d0736990ff.html", "citation_count": 114, "citations_geocoded": 61, "citations_unknown": 53, "citations_empty": 10, "citations_pdf": 71, "citations_doi": 43, "name": "300-W"}, "address": null, "citations": [["Holistically Constrained Local Model: Going Beyond Frontal Poses for Facial Landmark Detection", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2016"], ["3D Reconstruction of \u201cIn-the-Wild\u201d Faces in Images and Videos", "Department of Computing, Imperial College London, South Kensington Campus, London, United Kingdom", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", "United Kingdom", "2018"], ["The 3D Menpo Facial Landmark Tracking Challenge", "", "University of Exeter", "University of Exeter", "University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK", "50.73693020", "-3.53647672", "edu", "", "United Kingdom", "2017"], ["Two-Stream Transformer Networks for Video-Based Face Alignment", "Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China", 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of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "Finland", ""], ["Automatic Procedure to Fix Closed-Eyes Image", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", "", "United States", "2016"], ["Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting", "", "Jiangnan University", "Jiangnan University", "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "31.48542550", "120.27395810", "edu", "", "China", "2017"], 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Koszykowa 75, Warszawa, 00-662, Poland", "Warsaw University of Technology", "Warsaw University of Technology", "Politechnika Warszawska, 1, Plac Politechniki, VIII, \u015ar\u00f3dmie\u015bcie, Warszawa, mazowieckie, 00-661, RP", "52.22165395", "21.00735776", "edu", "", "Poland", "2018"], ["Real-Time Driver's Drowsiness Monitoring Based on Dynamically Varying Threshold", "Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India", "Jaypee Institute of Information Technology", "Jaypee Institute of Information Technology", "Jaypee Institute of Information Technology, Noida, A-10, National Highway 24 Bypass, Asha Pushp Vihar, Kaushambi, Ghaziabad, Uttar Pradesh, 201001, India", "28.63004430", "77.37208230", "edu", "", "India", "2018"], ["Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild", "The University of North Carolina at Charlotte, Charlotte, USA", "University of North Carolina at Charlotte", "University of North Carolina at Charlotte", "Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA", "35.31034410", "-80.73261617", "edu", "", "United States", "2017"], ["Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "University of Maryland, College Park, Maryland 20740 United States", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2018"], ["Facial Landmark Detection with Tweaked Convolutional Neural Networks", "", "Open University of Israel", "Open University of Israel", "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "32.77824165", "34.99565673", "edu", "", "Israel", "2018"], ["SVM point-based real-time emotion detection", "Institute of VLSI Design, Zhejiang University", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Spatial alignment network for facial landmark localization", "School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "China", "2018"], ["Fusion of face recognition and facial expression detection for authentication: a proposed model", "Universiti Kuala Lumpur, Kuala Lumpur", "Universiti Kuala Lumpur, Kuala Lumpur", "Universiti Kuala Lumpur, Kuala Lumpur", "1016, Jalan Sultan Ismail, Bandar Wawasan, 50250 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia", "3.15931190", "101.70137000", "edu", "", "Malaysia", "2017"]]}