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diff --git a/site/datasets/final/images_of_groups.csv b/site/datasets/final/images_of_groups.csv deleted file mode 100644 index 856d97b1..00000000 --- a/site/datasets/final/images_of_groups.csv +++ /dev/null @@ -1,103 +0,0 @@ -index,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year -0,Images of Groups,images_of_groups,0.0,0.0,,,21d9d0deed16f0ad62a4865e9acf0686f4f15492,main,http://amp.ece.cmu.edu/people/Andy/Andy_files/cvpr09.pdf,Understanding images of groups of people,2009 -1,Images of Groups,images_of_groups,45.42580475,-75.68740118,University of Ottawa,edu,49e2c1bae80e6b75233348102dc44671ee52b548,citation,http://www.site.uottawa.ca/~laganier/publications/esmaeelICIP2014.pdf,Age and gender recognition using informative features of various types,2014 -2,Images of Groups,images_of_groups,41.70456775,-86.23822026,University of Notre Dame,edu,0235b2d2ae306b7755483ac4f564044f46387648,citation,http://pdfs.semanticscholar.org/0235/b2d2ae306b7755483ac4f564044f46387648.pdf,Recognition of Facial Attributes Using Adaptive Sparse Representations of Random Patches,2014 -3,Images of Groups,images_of_groups,37.43131385,-122.16936535,Stanford University,edu,27a299b834a18e45d73e0bf784bbb5b304c197b3,citation,http://ai.stanford.edu/~vigneshr/cvpr_13/cvpr13_social_roles.pdf,Social Role Discovery in Human Events,2013 -4,Images of Groups,images_of_groups,37.43131385,-122.16936535,Stanford University,edu,d84230a2fc9950fccfd37f0291d65e634b5ffc32,citation,http://pdfs.semanticscholar.org/d842/30a2fc9950fccfd37f0291d65e634b5ffc32.pdf,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,2017 -5,Images of Groups,images_of_groups,25.01682835,121.53846924,National Taiwan University,edu,046865a5f822346c77e2865668ec014ec3282033,citation,http://www.csie.ntu.edu.tw/~winston/papers/chen12discovering.pdf,Discovering informative social subgraphs and predicting pairwise relationships from group photos,2012 -6,Images of Groups,images_of_groups,28.59899755,-81.19712501,University of Central Florida,edu,0aa303109a3402aa5a203877847d549c4a24d933,citation,http://crcv-web.eecs.ucf.edu/papers/cvpr2014/Resemblance_CVPR14.pdf,Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders,2014 -7,Images of Groups,images_of_groups,37.4102193,-122.05965487,Carnegie Mellon University,edu,c6096986b4d6c374ab2d20031e026b581e7bf7e9,citation,http://pdfs.semanticscholar.org/c609/6986b4d6c374ab2d20031e026b581e7bf7e9.pdf,A Framework for Using Context to Understand Images of People,2009 -8,Images of Groups,images_of_groups,51.5231607,-0.1282037,University College London,edu,6aaa77e241fe55ae0c4ad281e27886ea778f9e23,citation,http://pdfs.semanticscholar.org/b562/ad2ae12920cb318c5309a35000b4d5eb27b8.pdf,F-Formation Detection: Individuating Free-Standing Conversational Groups in Images,2015 -9,Images of Groups,images_of_groups,43.7743911,-79.50481085,York University,edu,ffe4bb47ec15f768e1744bdf530d5796ba56cfc1,citation,https://arxiv.org/pdf/1706.04277.pdf,AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces,2017 -10,Images of Groups,images_of_groups,27.18794105,31.17009498,Assiut University,edu,ffe4bb47ec15f768e1744bdf530d5796ba56cfc1,citation,https://arxiv.org/pdf/1706.04277.pdf,AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces,2017 -11,Images of Groups,images_of_groups,40.9153196,-73.1270626,Stony Brook University,edu,14e9158daf17985ccbb15c9cd31cf457e5551990,citation,http://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf,ConvNets with Smooth Adaptive Activation Functions for Regression,2017 -12,Images of Groups,images_of_groups,40.90826665,-73.11520891,Stony Brook University Hospital,edu,14e9158daf17985ccbb15c9cd31cf457e5551990,citation,http://pdfs.semanticscholar.org/14e9/158daf17985ccbb15c9cd31cf457e5551990.pdf,ConvNets with Smooth Adaptive Activation Functions for Regression,2017 -13,Images of Groups,images_of_groups,-22.8148374,-47.0647708,University of Campinas (UNICAMP),edu,b161d261fabb507803a9e5834571d56a3b87d147,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913,Gender recognition from face images using a geometric descriptor,2017 -14,Images of Groups,images_of_groups,40.9153196,-73.1270626,Stony Brook University,edu,1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc,citation,https://pdfs.semanticscholar.org/1190/cba0cae3c8bb81bf80d6a0a83ae8c41240bc.pdf,Squared Earth Mover ’ s Distance Loss for Training Deep Neural Networks on Ordered-Classes,2017 -15,Images of Groups,images_of_groups,24.94314825,121.36862979,National Taipei University,edu,30cc1ddd7a9b4878cca7783a59086bdc49dc4044,citation,https://doi.org/10.1007/s11042-015-2599-0,Intensity contrast masks for gender classification,2015 -16,Images of Groups,images_of_groups,-35.2776999,149.118527,Australian National University,edu,49e541e0bbc7a082e5c952fc70716e66e5713080,citation,http://ieeexplore.ieee.org/document/6460925/,Group expression intensity estimation in videos via Gaussian Processes,2012 -17,Images of Groups,images_of_groups,50.3755269,-4.13937687,Plymouth University,edu,8bed7ff2f75d956652320270eaf331e1f73efb35,citation,https://arxiv.org/pdf/1709.03820.pdf,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,2017 -18,Images of Groups,images_of_groups,39.3650216,16.2257177,University of Calabria,edu,8bed7ff2f75d956652320270eaf331e1f73efb35,citation,https://arxiv.org/pdf/1709.03820.pdf,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,2017 -19,Images of Groups,images_of_groups,51.7534538,-1.25400997,University of Oxford,edu,0be8b12f194fb604be69c139a195799e8ab53fd3,citation,http://www.robots.ox.ac.uk/~vgg/publications/2014/Hoai14/poster.pdf,Talking Heads: Detecting Humans and Recognizing Their Interactions,2014 -20,Images of Groups,images_of_groups,-35.2776999,149.118527,Australian National University,edu,0d3068b352c3733c9e1cc75e449bf7df1f7b10a4,citation,http://doi.ieeecomputersociety.org/10.1109/ACII.2013.111,Context Based Facial Expression Analysis in the Wild,2013 -21,Images of Groups,images_of_groups,45.42580475,-75.68740118,University of Ottawa,edu,16820ccfb626dcdc893cc7735784aed9f63cbb70,citation,http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf,Real-time embedded age and gender classification in unconstrained video,2015 -22,Images of Groups,images_of_groups,51.5247272,-0.03931035,Queen Mary University of London,edu,fcc82154067dfe778423c2df4ed69f0bec6e1534,citation,https://pdfs.semanticscholar.org/fcc8/2154067dfe778423c2df4ed69f0bec6e1534.pdf,Automatic Analysis of Affect and Membership in Group Settings,2017 -23,Images of Groups,images_of_groups,52.17638955,0.14308882,University of Cambridge,edu,fcc82154067dfe778423c2df4ed69f0bec6e1534,citation,https://pdfs.semanticscholar.org/fcc8/2154067dfe778423c2df4ed69f0bec6e1534.pdf,Automatic Analysis of Affect and Membership in Group Settings,2017 -24,Images of Groups,images_of_groups,30.284151,-97.73195598,University of Texas at Austin,edu,45513d0f2f5c0dac5b61f9ff76c7e46cce62f402,citation,http://pdfs.semanticscholar.org/4551/3d0f2f5c0dac5b61f9ff76c7e46cce62f402.pdf,Face Discovery with Social Context,2011 -25,Images of Groups,images_of_groups,37.26728,126.9841151,Seoul National University,edu,282503fa0285240ef42b5b4c74ae0590fe169211,citation,http://pdfs.semanticscholar.org/2825/03fa0285240ef42b5b4c74ae0590fe169211.pdf,Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks,2018 -26,Images of Groups,images_of_groups,-35.2776999,149.118527,Australian National University,edu,1ab881ec87167af9071b2ad8ff6d4ce3eee38477,citation,http://pdfs.semanticscholar.org/1ab8/81ec87167af9071b2ad8ff6d4ce3eee38477.pdf,Finding Happiest Moments in a Social Context,2012 -27,Images of Groups,images_of_groups,-35.23656905,149.08446994,University of Canberra,edu,1ab881ec87167af9071b2ad8ff6d4ce3eee38477,citation,http://pdfs.semanticscholar.org/1ab8/81ec87167af9071b2ad8ff6d4ce3eee38477.pdf,Finding Happiest Moments in a Social Context,2012 -28,Images of Groups,images_of_groups,-35.23656905,149.08446994,University of Canberra,edu,572dbaee6648eefa4c9de9b42551204b985ff863,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163151,The more the merrier: Analysing the affect of a group of people in images,2015 -29,Images of Groups,images_of_groups,32.87935255,-117.23110049,"University of California, San Diego",edu,572dbaee6648eefa4c9de9b42551204b985ff863,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163151,The more the merrier: Analysing the affect of a group of people in images,2015 -30,Images of Groups,images_of_groups,46.0658836,11.1159894,University of Trento,edu,572dbaee6648eefa4c9de9b42551204b985ff863,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7163151,The more the merrier: Analysing the affect of a group of people in images,2015 -31,Images of Groups,images_of_groups,35.90503535,-79.04775327,University of North Carolina,edu,dbf6d2619bd41ce4c36488e15d114a2da31b51c9,citation,https://arxiv.org/pdf/1810.00028.pdf,Data-Driven Modeling of Group Entitativity in Virtual Environments,2018 -32,Images of Groups,images_of_groups,39.2899685,-76.62196103,University of Maryland,edu,dbf6d2619bd41ce4c36488e15d114a2da31b51c9,citation,https://arxiv.org/pdf/1810.00028.pdf,Data-Driven Modeling of Group Entitativity in Virtual Environments,2018 -33,Images of Groups,images_of_groups,37.4102193,-122.05965487,Carnegie Mellon University,edu,b593f13f974cf444a5781bbd487e1c69e056a1f7,citation,https://pdfs.semanticscholar.org/b593/f13f974cf444a5781bbd487e1c69e056a1f7.pdf,Query Image Query Image Retrievals Retrievals Transferred Poses Transferred Poses,2018 -34,Images of Groups,images_of_groups,43.7776426,11.259765,University of Florence,edu,02cc96ad997102b7c55e177ac876db3b91b4e72c,citation,http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_museum-visitors-dataset.pdf,"MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding",2015 -35,Images of Groups,images_of_groups,40.8419836,-73.94368971,Columbia University,edu,02cc96ad997102b7c55e177ac876db3b91b4e72c,citation,http://www.micc.unifi.it/wp-content/uploads/2015/12/2015_museum-visitors-dataset.pdf,"MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding",2015 -36,Images of Groups,images_of_groups,58.38131405,26.72078081,University of Tartu,edu,1b248ed8e7c9514648cd598960fadf9ab17e7fe8,citation,https://pdfs.semanticscholar.org/1b24/8ed8e7c9514648cd598960fadf9ab17e7fe8.pdf,"From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation",0 -37,Images of Groups,images_of_groups,41.3868913,2.16352385,University of Barcelona,edu,1b248ed8e7c9514648cd598960fadf9ab17e7fe8,citation,https://pdfs.semanticscholar.org/1b24/8ed8e7c9514648cd598960fadf9ab17e7fe8.pdf,"From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation",0 -38,Images of Groups,images_of_groups,51.49887085,-0.17560797,Imperial College London,edu,54bb25a213944b08298e4e2de54f2ddea890954a,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017 -39,Images of Groups,images_of_groups,51.59029705,-0.22963221,Middlesex University,edu,54bb25a213944b08298e4e2de54f2ddea890954a,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017 -40,Images of Groups,images_of_groups,39.2899685,-76.62196103,University of Maryland,edu,3b092733f428b12f1f920638f868ed1e8663fe57,citation,http://www.math.jhu.edu/~data/RamaPapers/PerformanceBounds.pdf,On the size of Convolutional Neural Networks and generalization performance,2016 -41,Images of Groups,images_of_groups,33.6431901,-117.84016494,"University of California, Irvine",edu,3991223b1dc3b87883cec7af97cf56534178f74a,citation,http://doi.acm.org/10.1145/2461466.2461469,A unified framework for context assisted face clustering,2013 -42,Images of Groups,images_of_groups,65.0592157,25.46632601,University of Oulu,edu,1e516273554d87bbe1902fa0298179c493299035,citation,http://www.ee.oulu.fi/~hadid/Age-ICPR2012.pdf,Age Classification in Unconstrained Conditions Using LBP Variants,2012 -43,Images of Groups,images_of_groups,50.89273635,-1.39464295,University of Southampton,edu,fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f,citation,http://pdfs.semanticscholar.org/fd67/d0efbd94c9d8f9d2f0a972edd7320bc7604f.pdf,Real-Time Semantic Clothing Segmentation,2012 -44,Images of Groups,images_of_groups,47.6543238,-122.30800894,University of Washington,edu,f2c30594d917ea915028668bc2a481371a72a14d,citation,http://pdfs.semanticscholar.org/f2c3/0594d917ea915028668bc2a481371a72a14d.pdf,Scene Understanding Using Internet Photo Collections,2010 -45,Images of Groups,images_of_groups,40.47913175,-74.43168868,Rutgers University,edu,31f1e711fcf82c855f27396f181bf5e565a2f58d,citation,http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54,Unconstrained Age Estimation with Deep Convolutional Neural Networks,2015 -46,Images of Groups,images_of_groups,39.2899685,-76.62196103,University of Maryland,edu,31f1e711fcf82c855f27396f181bf5e565a2f58d,citation,http://doi.ieeecomputersociety.org/10.1109/ICCVW.2015.54,Unconstrained Age Estimation with Deep Convolutional Neural Networks,2015 -47,Images of Groups,images_of_groups,35.93006535,-84.31240032,Oak Ridge National Laboratory,edu,2cf3564d7421b661e84251d280d159d4b3ebb336,citation,https://doi.org/10.1109/BTAS.2014.6996287,Discriminating projections for estimating face age in wild images,2014 -48,Images of Groups,images_of_groups,34.2239869,-77.8701325,"UNCW, USA",edu,2cf3564d7421b661e84251d280d159d4b3ebb336,citation,https://doi.org/10.1109/BTAS.2014.6996287,Discriminating projections for estimating face age in wild images,2014 -49,Images of Groups,images_of_groups,34.2249827,-77.86907744,University of North Carolina at Wilmington,edu,2cf3564d7421b661e84251d280d159d4b3ebb336,citation,https://doi.org/10.1109/BTAS.2014.6996287,Discriminating projections for estimating face age in wild images,2014 -50,Images of Groups,images_of_groups,41.3868913,2.16352385,University of Barcelona,edu,500fbe18afd44312738cab91b4689c12b4e0eeee,citation,http://www.maia.ub.es/~sergio/linked/ijcnn_age_and_cultural_2015.pdf,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,2015 -51,Images of Groups,images_of_groups,45.4312742,12.3265377,University of Venezia,edu,500fbe18afd44312738cab91b4689c12b4e0eeee,citation,http://www.maia.ub.es/~sergio/linked/ijcnn_age_and_cultural_2015.pdf,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,2015 -52,Images of Groups,images_of_groups,42.4505507,-76.4783513,Cornell University,edu,0d57d3d2d04fc96d731cac99a7a8ef79050dac75,citation,http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/Workshops/4990a269.pdf,Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes,2013 -53,Images of Groups,images_of_groups,42.4505507,-76.4783513,Cornell University,edu,fbc9ba70e36768efff130c7d970ce52810b044ff,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738500,Face-graph matching for classifying groups of people,2013 -54,Images of Groups,images_of_groups,37.43131385,-122.16936535,Stanford University,edu,fbc9ba70e36768efff130c7d970ce52810b044ff,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6738500,Face-graph matching for classifying groups of people,2013 -55,Images of Groups,images_of_groups,1.340216,103.965089,Singapore University of Technology and Design,edu,00823e6c0b6f1cf22897b8d0b2596743723ec51c,citation,https://arxiv.org/pdf/1708.07689.pdf,Understanding and Comparing Deep Neural Networks for Age and Gender Classification,2017 -56,Images of Groups,images_of_groups,41.1664858,-73.1920564,University of Bridgeport,edu,ac9a331327cceda4e23f9873f387c9fd161fad76,citation,http://pdfs.semanticscholar.org/ac9a/331327cceda4e23f9873f387c9fd161fad76.pdf,Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model,2017 -57,Images of Groups,images_of_groups,42.4505507,-76.4783513,Cornell University,edu,5aad56cfa2bac5d6635df4184047e809f8fecca2,citation,http://chenlab.ece.cornell.edu/people/Amir/publications/picture_password.pdf,A visual dictionary attack on Picture Passwords,2013 -58,Images of Groups,images_of_groups,42.9336278,-78.88394479,SUNY Buffalo,edu,4793f11fbca4a7dba898b9fff68f70d868e2497c,citation,http://pdfs.semanticscholar.org/4793/f11fbca4a7dba898b9fff68f70d868e2497c.pdf,Kinship Verification through Transfer Learning,2011 -59,Images of Groups,images_of_groups,37.4102193,-122.05965487,Carnegie Mellon University,edu,eddc4989cdb20c8cdfb22e989bdb2cb9031d0439,citation,https://arxiv.org/pdf/1804.03080.pdf,Binge Watching: Scaling Affordance Learning from Sitcoms,2017 -60,Images of Groups,images_of_groups,42.3383668,-71.08793524,Northeastern University,edu,090e4713bcccff52dcd0c01169591affd2af7e76,citation,http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Shao_What_Do_You_2013_ICCV_paper.pdf,What Do You Do? Occupation Recognition in a Photo via Social Context,2013 -61,Images of Groups,images_of_groups,53.21967825,6.56251482,University of Groningen,edu,4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac,citation,https://doi.org/10.1109/SSCI.2015.37,Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition,2015 -62,Images of Groups,images_of_groups,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,291f527598c589fb0519f890f1beb2749082ddfd,citation,http://pdfs.semanticscholar.org/3215/ceb94227451a958bcf6b1205c710d17e53f5.pdf,Seeing People in Social Context: Recognizing People and Social Relationships,2010 -63,Images of Groups,images_of_groups,42.4505507,-76.4783513,Cornell University,edu,28d06fd508d6f14cd15f251518b36da17909b79e,citation,http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Whats_in_a_2013_CVPR_paper.pdf,What's in a Name? First Names as Facial Attributes,2013 -64,Images of Groups,images_of_groups,37.43131385,-122.16936535,Stanford University,edu,28d06fd508d6f14cd15f251518b36da17909b79e,citation,http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chen_Whats_in_a_2013_CVPR_paper.pdf,What's in a Name? First Names as Facial Attributes,2013 -65,Images of Groups,images_of_groups,47.0570222,21.922709,Queen Mary University,edu,34022637860443c052375c45c4f700afcb438cd0,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.185,Automatic Recognition of Emotions and Membership in Group Videos,2016 -66,Images of Groups,images_of_groups,52.17638955,0.14308882,University of Cambridge,edu,34022637860443c052375c45c4f700afcb438cd0,citation,http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.185,Automatic Recognition of Emotions and Membership in Group Videos,2016 -67,Images of Groups,images_of_groups,38.8964679,-104.8050594,University of Colorado at Colorado Springs,edu,e3e2c106ccbd668fb9fca851498c662add257036,citation,http://www.vast.uccs.edu/~tboult/PAPERS/BTAS13-Sapkota-et-al-Ensembles.pdf,"Appearance, context and co-occurrence ensembles for identity recognition in personal photo collections",2013 -68,Images of Groups,images_of_groups,25.01682835,121.53846924,National Taiwan University,edu,8ba67f45fbb1ce47a90df38f21834db37c840079,citation,http://www.cmlab.csie.ntu.edu.tw/~yanying/paper/dsp006-chen.pdf,People search and activity mining in large-scale community-contributed photos,2012 -69,Images of Groups,images_of_groups,1.2962018,103.77689944,National University of Singapore,edu,a5219fff98dfe3ec81dee95c4ead69a8e24cc802,citation,https://arxiv.org/pdf/1708.00634.pdf,Dual-Glance Model for Deciphering Social Relationships,2017 -70,Images of Groups,images_of_groups,44.97308605,-93.23708813,University of Minnesota,edu,a5219fff98dfe3ec81dee95c4ead69a8e24cc802,citation,https://arxiv.org/pdf/1708.00634.pdf,Dual-Glance Model for Deciphering Social Relationships,2017 -71,Images of Groups,images_of_groups,40.742252,-74.0270949,Stevens Institute of Technology,edu,1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf,citation,http://personal.stevens.edu/~hli18//data/papers/CVPR2016_CameraReady.pdf,A Multi-level Contextual Model for Person Recognition in Photo Albums,2016 -72,Images of Groups,images_of_groups,-34.9189226,138.60423668,University of Adelaide,edu,3d24b386d003bee176a942c26336dbe8f427aadd,citation,http://arxiv.org/abs/1611.09967,Sequential Person Recognition in Photo Albums with a Recurrent Network,2017 -73,Images of Groups,images_of_groups,37.43131385,-122.16936535,Stanford University,edu,111ae23b60284927f2545dfc59b0147bb3423792,citation,https://pdfs.semanticscholar.org/111a/e23b60284927f2545dfc59b0147bb3423792.pdf,Classroom Data Collection and Analysis using Computer Vision,2016 -74,Images of Groups,images_of_groups,51.99882735,4.37396037,Delft University of Technology,edu,dfbf941adeea19f5dff4a70a466ddd1b77f3b727,citation,https://pdfs.semanticscholar.org/dfbf/941adeea19f5dff4a70a466ddd1b77f3b727.pdf,Models for supervised learning in sequence data,2018 -75,Images of Groups,images_of_groups,40.8419836,-73.94368971,Columbia 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Groups,images_of_groups,45.42580475,-75.68740118,University of Ottawa,edu,65293ecf6a4c5ab037a2afb4a9a1def95e194e5f,citation,http://pdfs.semanticscholar.org/6529/3ecf6a4c5ab037a2afb4a9a1def95e194e5f.pdf,"Face , Age and Gender Recognition using Local Descriptors",2014 -86,Images of Groups,images_of_groups,32.8536333,-117.2035286,Kyung Hee University,edu,854b1f0581f5d3340f15eb79452363cbf38c04c8,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648,Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation,2017 -87,Images of Groups,images_of_groups,24.7246403,46.62335012,King Saud University,edu,854b1f0581f5d3340f15eb79452363cbf38c04c8,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648,Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation,2017 -88,Images of Groups,images_of_groups,23.7289899,90.3982682,Institute of Information 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Groups,images_of_groups,51.99882735,4.37396037,Delft University of Technology,edu,b9eb55c2c573e2fffd686b00a39185f0142ef816,citation,http://elvera.nue.tu-berlin.de/files/1241Ramzan2010.pdf,The participation payoff: challenges and opportunities for multimedia access in networked communities,2010 -96,Images of Groups,images_of_groups,1.2962018,103.77689944,National University of Singapore,edu,cc3ef62b4a7eb6c4e45302deb89df2e547b6efcc,citation,http://pdfs.semanticscholar.org/cc3e/f62b4a7eb6c4e45302deb89df2e547b6efcc.pdf,Creating Picture Legends for Group Photos,2012 -97,Images of Groups,images_of_groups,37.4585796,-122.17560525,SRI International,edu,683f5c838ea2c9c50f3f5c5fa064c00868751733,citation,http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Chakraborty_3D_Visual_Proxemics_2013_CVPR_paper.pdf,3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image,2013 -98,Images of Groups,images_of_groups,40.51865195,-74.44099801,State University of New Jersey,edu,d00e9a6339e34c613053d3b2c132fccbde547b56,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154,A cascaded convolutional neural network for age estimation of unconstrained faces,2016 -99,Images of Groups,images_of_groups,39.2899685,-76.62196103,University of Maryland,edu,d00e9a6339e34c613053d3b2c132fccbde547b56,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7791154,A cascaded convolutional neural network for age estimation of unconstrained faces,2016 -100,Images of Groups,images_of_groups,31.2284923,121.40211389,East China Normal University,edu,5364e58ba1f4cdfcffb247c2421e8f56a75fad8d,citation,https://doi.org/10.1109/VCIP.2017.8305113,Facial age estimation through self-paced learning,2017 -101,Images of Groups,images_of_groups,42.3383668,-71.08793524,Northeastern University,edu,c9f588d295437009994ddaabb64fd4e4c499b294,citation,http://pdfs.semanticscholar.org/c9f5/88d295437009994ddaabb64fd4e4c499b294.pdf,Predicting Professions through 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