rebuild everything

1 files changed, 1 insertions, 1 deletions

diff --git a/site/datasets/citations/afad.json b/site/datasets/citations/afad.json
index ced6d887..27b32f50 100644
--- a/site/datasets/citations/afad.json
+++ b/site/datasets/citations/afad.json
@@ -1 +1 @@
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Samsung Advance Institute of Technology, Republic of Korea", "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "37.25202260", "127.05550190", "company", "", "2018"], ["Deep probabilities for age estimation", "Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "2017"], ["Label-Sensitive Deep Metric Learning for Facial Age Estimation", "Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "2018"], ["Incremental sparse Bayesian ordinal regression", "", "University of Amsterdam", "University of Amsterdam", "Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland", "52.35536550", "4.95016440", "edu", "", "2018"], ["Deep Age Estimation: From Classification to Ranking", "Department of Mathematics, Wayne State University, Detroit, MI, USA", "Wayne State University", "Wayne State University", "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "42.35775700", "-83.06286711", "edu", "", "2018"], ["Deep Ordinal Regression Network for Monocular Depth Estimation", "", "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", "", "2018"], ["Mean-Variance Loss for Deep Age Estimation from a Face", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", ""], ["Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "2017"], ["Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification", "", "University of Ioannina", "University of Ioannina", "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - 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\u0394\u03c5\u03c4\u03b9\u03ba\u03ae \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1, 45110, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "39.61623060", "20.83963011", "edu", "", "2017"], ["Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2017"], ["Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2017"], ["Deep Structured Learning for Facial Action Unit Intensity Estimation", "", "University of Twente", "University of Twente", "University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland", "52.23801390", "6.85667610", "edu", "", "2017"], ["Preliminary Studies on a Large Face Database", "", "University of Florida", "University of Florida", "University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA", "29.63287840", "-82.34901330", "edu", "", "2018"], ["Deep Regression Forests for Age Estimation", "", "Shanghai University", "Shanghai University", "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "31.32235655", "121.38400941", "edu", "", "2017"], ["k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification", "", "University of Ljubljana", "University of Ljubljana", "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "46.05015580", "14.46907327", "edu", "", "2018"], ["From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation", "", "University of Barcelona", "University of Barcelona", "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "41.38689130", "2.16352385", "edu", "", ""], ["Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "2018"], ["Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation", "", "University of Dundee", "University of Dundee", "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "56.45796755", "-2.98214831", "edu", "", "2017"], ["Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA", "West Virginia University", "West Virginia University", "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "39.65404635", "-79.96475355", "edu", "", "2018"], ["A Constrained Deep Neural Network for Ordinal Regression", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", ""], ["Using Ranking-CNN for Age Estimation", "", "Wayne State University", "Wayne State University", "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "42.35775700", "-83.06286711", "edu", "", "2017"], ["Learning for MultiTask Classification of Visual Attributes", "", "University of Ioannina", "University of Ioannina", "\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5, \u039a\u03ac\u03c4\u03c9 \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u039d\u03b5\u03bf\u03c7\u03c9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf, \u0394\u03ae\u03bc\u03bf\u03c2 \u0399\u03c9\u03b1\u03bd\u03bd\u03b9\u03c4\u03ce\u03bd, \u03a0.\u0395. \u0399\u03c9\u03b1\u03bd\u03bd\u03af\u03bd\u03c9\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0397\u03c0\u03b5\u03af\u03c1\u03bf\u03c5, \u0389\u03c0\u03b5\u03b9\u03c1\u03bf\u03c2 - 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