rebuild everything

2 files changed, 3679 insertions, 12102 deletions

diff --git a/scraper/reports/stats/geocoded_papers.csv b/scraper/reports/stats/geocoded_papers.csv
index 7c1dfae4..80438616 100644
--- a/scraper/reports/stats/geocoded_papers.csv
+++ b/scraper/reports/stats/geocoded_papers.csv
@@ -1,6 +1,6 @@
 ad62c6e17bc39b4dec20d32f6ac667ae42d2c118,A Synchronization Ground Truth for the Jiku Mobile Video Dataset,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu,

 ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

-ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 ada13fd37da7a28e74aaed4a413533fa4f4b3b37,Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 adef82b510dd72999bb04e13660c9a77b5abeb4c,Face recognition by fractal transformations,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -9,14 +9,18 @@ ad9cb522cc257e3c5d7f896fe6a526f6583ce46f,Real-Time Recognition of Facial Express
 adf423f2a76301e34aed59d4e6d6f5378dcdadb4,A Soft Computing Based Approach for Multi-Accent Classification in IVR Systems,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 ad7e2dd9ce31c2093d5b611372c44654d8d594de,Improving Consistency-Based Semi-Supervised Learning with Weight Averaging,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 ad836360812f87e45795f8345de3bdc6b13add81,Kernelized structural SVM learning for supervised object segmentation,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

-ada53a115e1551f3fbad3dc5930c1187473a78a4,Efficient Object Category Recognition Using Classemes,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+adf1b20cffb0ab12d20f878d07373efc4c1bc6c4,Image Retagging Using Collaborative Tag Propagation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+ada53a115e1551f3fbad3dc5930c1187473a78a4,Efficient Object Category Recognition Using Classemes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ad784332cc37720f03df1c576e442c9c828a587a,Face recognition based on face-specific subspace,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 ad784332cc37720f03df1c576e442c9c828a587a,Face recognition based on face-specific subspace,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 adfe759046982880d500fc56f915ce2d76687656,Periocular Recognition Using CNN Features Off-the-Shelf,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 ad6b23435649d3d88a6b33154b9e6e3e5648a33d,Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6,"Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6,"Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction",University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6,"Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction",China,China,China,35.86166000,104.19539700,edu,

 ad9ecacca5c28b098096ad0cbd81fe84405924e3,1 Face Recognition by Sparse Representation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+ad9ecacca5c28b098096ad0cbd81fe84405924e3,1 Face Recognition by Sparse Representation,China,China,China,35.86166000,104.19539700,edu,

+ada4901e0022b4fdeb9ec3ae26b986199f7ae3be,Human Face Recognition based on Improved PCA Algorithm,China,China,China,35.86166000,104.19539700,edu,

 ada42b99f882ba69d70fff68c9ccbaff642d5189,Semantic Image Segmentation and Web-Supervised Visual Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 ad08c97a511091e0f59fc6a383615c0cc704f44a,Towards the improvement of self-service systems via emotional virtual agents,University of Abertay,University of Abertay,"Abertay University, Bell Street, City Centre, Dundee, Dundee City, Scotland, DD1 1HG, UK",56.46323375,-2.97447512,edu,

 ad08c97a511091e0f59fc6a383615c0cc704f44a,Towards the improvement of self-service systems via emotional virtual agents,University of Abertay,University of Abertay,"Abertay University, Bell Street, City Centre, Dundee, Dundee City, Scotland, DD1 1HG, UK",56.46323375,-2.97447512,edu,

@@ -34,19 +38,27 @@ ad8540379884ec03327076b562b63bc47e64a2c7,Bee royalty offspring algorithm for imp
 adaed4e92c93eb005198e41f87cf079e46050b5a,Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose 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,

 adaed4e92c93eb005198e41f87cf079e46050b5a,Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose 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,

 adaed4e92c93eb005198e41f87cf079e46050b5a,Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose 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,

+ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 ad0fc3daea914e8025332a24c25dab37f6c55658,A Visual Words Selection Strategy for Pedestrian Detection and Analysis of the Feature Points Distribution,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu,

 ad0fc3daea914e8025332a24c25dab37f6c55658,A Visual Words Selection Strategy for Pedestrian Detection and Analysis of the Feature Points Distribution,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu,

+adaff7ff015b4be77e8c0bdb9d002b614d6e2851,A Hybrid Method for Face Recognition using LLS CLAHE Method,India,India,India,20.59368400,78.96288000,edu,

 ad8f0b5dd8d89c0b0805a77dc27a9ce22caf6c59,"The computational magic of the ventral stream : sketch of a theory ( and why some deep architectures work ) . December 30 , 2012 DRAFT",McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu,

+ad8f0b5dd8d89c0b0805a77dc27a9ce22caf6c59,"The computational magic of the ventral stream : sketch of a theory ( and why some deep architectures work ) . December 30 , 2012 DRAFT",Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

+ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa,FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu,

 ad84f49b2cd1b85a6d7df2304144a093f5b610a8,Learning from Noisy Labels with Deep Neural Networks,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 ad2339c48ad4ffdd6100310dcbb1fb78e72fac98,Video Fill In the Blank Using LR/RL LSTMs with Spatial-Temporal Attentions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 adaa47752ba813f0a11defa60949f052de6610be,Quantifying and Predicting Image Scenicness,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 adaa47752ba813f0a11defa60949f052de6610be,Quantifying and Predicting Image Scenicness,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

+adc0b5d9f010f8b7d9900fcb1703c3882e340d65,Nasal Oxytocin Treatment Biases Dogs’ Visual Attention and Emotional Response toward Positive Human Facial Expressions,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+adc0b5d9f010f8b7d9900fcb1703c3882e340d65,Nasal Oxytocin Treatment Biases Dogs’ Visual Attention and Emotional Response toward Positive Human Facial Expressions,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 adc0b5d9f010f8b7d9900fcb1703c3882e340d65,Nasal Oxytocin Treatment Biases Dogs’ Visual Attention and Emotional Response toward Positive Human Facial Expressions,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

+adb2d1e241933ef363bcf03d865a9219d2911780,Classification of Age from Facial Features of Humans,India,India,India,20.59368400,78.96288000,edu,

 ad5d2146a629b786712eb21d4dbfa31394ca07b4,Sputnik Tracker: Having a Companion Improves Robustness of the Tracker,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 ad2cb5c255e555d9767d526721a4c7053fa2ac58,Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+ad2cb5c255e555d9767d526721a4c7053fa2ac58,Longitudinal Study of Child Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 ad2cb5c255e555d9767d526721a4c7053fa2ac58,Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 ad467baa4f59d18ed998757bcba3df3c2a753df8,Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 ad46f1de2001474cce1047d88703f61580c8a5de,Face Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

@@ -61,10 +73,12 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma
 048ff69503ea4937f10f69b1f29f655594253246,Isolating Sources of Disentanglement in Variational Autoencoders,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 04661729f0ff6afe4b4d6223f18d0da1d479accf,From Facial Parts Responses to Face Detection: A Deep Learning Approach,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 04661729f0ff6afe4b4d6223f18d0da1d479accf,From Facial Parts Responses to Face Detection: A Deep Learning Approach,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor , Log Gabor Filters and PCA",India,India,India,20.59368400,78.96288000,edu,

+040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor , Log Gabor Filters and PCA",India,India,India,20.59368400,78.96288000,edu,

 04c2cda00e5536f4b1508cbd80041e9552880e67,Hipster wars: Discovering elements of fashion styles,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 04c2cda00e5536f4b1508cbd80041e9552880e67,Hipster wars: Discovering elements of fashion styles,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 04b22b008669fa981602c7723b44cb4a5cb2d480,Facial responsiveness of psychopaths to the emotional expressions of others,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

-043432efc33fb01cc12f11fe8ce411f41b450c16,Mining Object Parts from CNNs via Active Question-Answering,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+043432efc33fb01cc12f11fe8ce411f41b450c16,Mining Object Parts from CNNs via Active Question-Answering,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 046865a5f822346c77e2865668ec014ec3282033,Discovering informative social subgraphs and predicting pairwise relationships from group photos,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 0428b8c6a7bf673dcf5e86805c089ffc12e47217,Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 0428b8c6a7bf673dcf5e86805c089ffc12e47217,Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

@@ -77,6 +91,7 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma
 04ff69aa20da4eeccdabbe127e3641b8e6502ec0,Sequential Face Alignment via Person-Specific Modeling in the Wild,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 04ff69aa20da4eeccdabbe127e3641b8e6502ec0,Sequential Face Alignment via Person-Specific Modeling in the Wild,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 04aca8c96971acce8ac4303bf514e83c87e692ce,Title A hand shape recognizer from simple sketches,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

+0410659b6a311b281d10e0e44abce9b1c06be462,"A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning",KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 04f0292d9a062634623516edd01d92595f03bd3f,Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 04f0292d9a062634623516edd01d92595f03bd3f,Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 04f0292d9a062634623516edd01d92595f03bd3f,Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

@@ -86,11 +101,16 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma
 04ef0b28534cdac18a2059f73ecfe940d6bed277,Non-Linear Stationary Subspace Analysis with Application to Video Classification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 0480b71244b59ed13cfe844c8bac8883a0c40573,Efficient Second Order Multi-Target Tracking with Exclusion Constraints,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 0480b71244b59ed13cfe844c8bac8883a0c40573,Efficient Second Order Multi-Target Tracking with Exclusion Constraints,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f,A Customized Vision System for Tracking Humans Wearing Reflective Safety Clothing from Industrial Vehicles and Machinery,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 049d93ca5b69431aedc2cf2acd89cbc40aea158d,Two Dimensional Visual Tracking in Construction Scenarios,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

+04741341e26bdcd9ed1de18e5a95c31d7b64fa36,Adversarial Action Prediction Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 0443b7a4372fb7bdcd69a0b55945f937c8b7d35b,Semi-supervised Coupled Dictionary Learning for Person Re-identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

-0443b7a4372fb7bdcd69a0b55945f937c8b7d35b,Semi-supervised Coupled Dictionary Learning for Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+0443b7a4372fb7bdcd69a0b55945f937c8b7d35b,Semi-supervised Coupled Dictionary Learning for Person Re-identification,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu,

 04d63b8686a0cd3f7cb45d6cf0729d54615cf10a,Hybrid Generative-Discriminative Visual Categorization,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 04eda7eee3e0282de50e54554f50870dd17defa1,How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+0435a34e93b8dda459de49b499dd71dbb478dc18,"VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks",India,India,India,20.59368400,78.96288000,edu,

 04b2cddc8e04a02d685d6476f00d0d25d4dd5e72,The Scope and Limits of Simulation in Cognitive Models,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 04b2cddc8e04a02d685d6476f00d0d25d4dd5e72,The Scope and Limits of Simulation in Cognitive Models,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 041d854a835815e5be740332c047576804bd166d,Boosting algorithms for detector cascade learning,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

@@ -99,35 +119,49 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma
 04afeae3eb05f7be342476ebf241108f200070a4,Audio-visual Convolutive Blind Source Separation,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 04e71c050a80fe3a594192ba14cb3a011b44b68e,Load Balanced GANs for Multi-view Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 04e06481e455c6eb838c22e8505dafc01b7d0cfa,L1 regularized projection pursuit for additive model learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+04e06481e455c6eb838c22e8505dafc01b7d0cfa,L1 regularized projection pursuit for additive model learning,China,China,China,35.86166000,104.19539700,edu,

 04a20f9513a93f034e3aac7a415b537c27c05695,Diffeomorphic Statistical Shape Models,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 04be04189fe77a3bbd108b8c0ef78d63b0bd5118,EDeN: Ensemble of Deep Networks for Vehicle Classification,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

+0486214fb58ee9a04edfe7d6a74c6d0f661a7668,Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 0486214fb58ee9a04edfe7d6a74c6d0f661a7668,Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 04df36ea27f14f96bb1b33d76103d1dee7c6e0ca,Blur invariant pattern recognition and registration in the Fourier domain,University of Oulu,University 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,

+0419726a00e16ea89868792ca94f5b1b262c5597,An analytical formulation of global occlusion reasoning for multi-target tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 0419726a00e16ea89868792ca94f5b1b262c5597,An analytical formulation of global occlusion reasoning for multi-target tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6,Tracking with local spatio-temporal motion patterns in extremely crowded scenes,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu,

+04adf2e51df06a03b6decf520b0952a54a538a18,Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 043e7a08398b1d634fa2bf3ddb81942686effb30,Improved 3D Model Search for Facial Feature Location and Pose Estimation in 2D images,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 04964e2697778dc843671c7764f0f912e46991ca,Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

+04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 047cd38ebf2ce7eeb885f654ed64d405a0421fab,Face detection using statistical and multi-resolution texture features Manian and Ross 1 Face Detection Using Statistical and Multi-Resolution Texture Features,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

+04f55f81bbd879773e2b8df9c6b7c1d324bc72d8,Multi-view Face Analysis Based on Gabor Features,China,China,China,35.86166000,104.19539700,edu,

 040ab6a70bef710b61e3b6a183c2d81947ac8f88,"Database of Natural , Dyadic Conversations",Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

+04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,China,China,China,35.86166000,104.19539700,edu,

+04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,China,China,China,35.86166000,104.19539700,edu,

 044e0d86e2db70d4c0b767bf0994913e90e105e3,Answer-Type Prediction for Visual Question Answering,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 9ded7bd7ee896de568cbb0281ec553c21de93131,Face recognition using a novel image representation scheme and multi-scale local features,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 9ded7bd7ee896de568cbb0281ec553c21de93131,Face recognition using a novel image representation scheme and multi-scale local features,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 9ded7bd7ee896de568cbb0281ec553c21de93131,Face recognition using a novel image representation scheme and multi-scale local features,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

 9d5ec256ee5a6ee2d9602f651e88132f2669f690,A novel M-estimator for robust PCA,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 9d5ec256ee5a6ee2d9602f651e88132f2669f690,A novel M-estimator for robust PCA,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,India,India,India,20.59368400,78.96288000,edu,

+9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,India,India,India,20.59368400,78.96288000,edu,

 9d7b2d1f3d6705bc8a4656fa27fb6dde20033f25,A discriminative key pose sequence model for recognizing human interactions,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 9d66de2a59ec20ca00a618481498a5320ad38481,POP: Privacy-Preserving Outsourced Photo Sharing and Searching for Mobile Devices,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 9d66de2a59ec20ca00a618481498a5320ad38481,POP: Privacy-Preserving Outsourced Photo Sharing and Searching for Mobile Devices,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu,

+9dd227edfeb472076346cbe2c49811d1778a43a8,Domain-Invariant Projection Learning for Zero-Shot Recognition,China,China,China,35.86166000,104.19539700,edu,

 9dd227edfeb472076346cbe2c49811d1778a43a8,Domain-Invariant Projection Learning for Zero-Shot Recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 9d146936d7d06622e271764c8a050a92bc168f3c,GAD: General Activity Detection for Fast Clustering on Large Data.,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 9d3472849dc2cadf194ae29adbf46bdda861d8b7,Learning to Ask: Neural Question Generation for Reading Comprehension,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 9d3472849dc2cadf194ae29adbf46bdda861d8b7,Learning to Ask: Neural Question Generation for Reading Comprehension,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 9d6c5dc5b212d8a8e94e7c52b0a2e4550aa2e117,Eye tracking studies of normative and atypical development q,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+9d61b0beb3c5903fc3032655dc0fd834ec0b2af3,Learning a Locality Preserving Subspace for Visual Recognition,China,China,China,35.86166000,104.19539700,edu,

 9d61b0beb3c5903fc3032655dc0fd834ec0b2af3,Learning a Locality Preserving Subspace for Visual Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad,ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad,ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad,ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6,"Predicting the Location of ""interactees"" in Novel Human-Object Interactions",University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+9d9d496565c68a2d0ba5026aa527215ac5f82e23,Generating Discriminating Cartoon Faces Using Interacting Snakes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9d4ebcd84c4ba2241cca3242e22888558b62a0e0,Demonstration of Santoku: Optimizing Machine Learning over Normalized Data,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 9d083a1aaad04641d0757ba21eaad1a60d5cafe0,Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 9ded64e83d3ba51513ea00de27c0c770a02b0cf4,Image Classification using Transfer Learning from Siamese Networks based on Text Metadata Similarity,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -145,6 +179,7 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma
 9dd47158cd7ee3725be3aa7a2ce9b25a7d4aed74,Clustering-driven Deep Embedding with Pairwise Constraints,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 9dd47158cd7ee3725be3aa7a2ce9b25a7d4aed74,Clustering-driven Deep Embedding with Pairwise Constraints,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

 9dd47158cd7ee3725be3aa7a2ce9b25a7d4aed74,Clustering-driven Deep Embedding with Pairwise Constraints,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

+9d4c05c7c9284c8e303641b95e997f11df2dd1a7,Misalignment-robust Face Recognition via Efficient Locality-constrained Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9d55ec73cab779403cd933e6eb557fb04892b634,Kernel principal component analysis network for image classification,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 9db7af606e6eb6238ca900145c8270245e9d2959,PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 9db7af606e6eb6238ca900145c8270245e9d2959,PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -164,6 +199,7 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma
 9d7a3a47fe012fd78aa0291a672276affd0c6e67,Semantic Parsing of Large-Scale Indoor Spaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9d7a3a47fe012fd78aa0291a672276affd0c6e67,Semantic Parsing of Large-Scale Indoor Spaces,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 9d7a3a47fe012fd78aa0291a672276affd0c6e67,Semantic Parsing of Large-Scale Indoor Spaces,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+9da9ee38d5845d39497b10b0ab442580e75ee4d3,Dynamic Video Segmentation Network,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9d4c467adc09fb50c5e799fc124f3e82da8c3c22,Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 9d4c467adc09fb50c5e799fc124f3e82da8c3c22,Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 9d6e60d49e92361f8f558013065dfa67043dd337,Applications of Computational Geometry and Computer Vision,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu,

@@ -174,10 +210,11 @@ c2a1f436eff1c1607634d55db064814e922eb6b1,Can you make morphometrics work when yo
 c2d054f0d7f455d94f1d92959e0e549443977c55,SdcNet: A Computation-Efficient CNN for Object Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 c2d054f0d7f455d94f1d92959e0e549443977c55,SdcNet: A Computation-Efficient CNN for Object Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 c2b3bf311a9182b1452f5ade82fb6db6263e2ddc,Metric Learning-based Generative Adversarial Network,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+c2b3bf311a9182b1452f5ade82fb6db6263e2ddc,Metric Learning-based Generative Adversarial Network,China,China,China,35.86166000,104.19539700,edu,

 c2e03efd8c5217188ab685e73cc2e52c54835d1a,Deep tree-structured face: A unified representation for multi-task facial biometrics,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

-c280c95c17194de83e5234cca3586cd567ecd47c,Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c280c95c17194de83e5234cca3586cd567ecd47c,Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c2be88c6d99605abca7a7377935c8809eb8d328e,Open Set Chinese Character Recognition using Multi-typed Attributes,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

-c2021ac068c23ba6a5360312fbfa0c0d2cfb47fd,Multi-modal fusion for flasher detection in a mobile video chat application,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c2021ac068c23ba6a5360312fbfa0c0d2cfb47fd,Multi-modal fusion for flasher detection in a mobile video chat application,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c232d4989ad1bd9ee19d8309cf0fdec2a5c3895f,Point-Triplet Descriptors for 3D Facial Landmark Localisation,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 c2c5206f6a539b02f5d5a19bdb3a90584f7e6ba4,Affective computing: a review,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 c22df6df55f5c6539e1a4d2e2d50dbaab34007a7,Compact Binary Patterns (CBP) with Multiple Patch Classifiers for Fast and Accurate Face Recognition,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

@@ -189,20 +226,29 @@ c23153aade9be0c941390909c5d1aad8924821db,Efficient and Accurate Tracking for Fac
 c2fa83e8a428c03c74148d91f60468089b80c328,Optimal Mean Robust Principal Component Analysis,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 c2fafcbbf334447e8e3a18a2339eaff63ed2b4e3,Gamma Activation in Young People with Autism Spectrum Disorders and Typically-Developing Controls When Viewing Emotions on Faces,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 c2fafcbbf334447e8e3a18a2339eaff63ed2b4e3,Gamma Activation in Young People with Autism Spectrum Disorders and Typically-Developing Controls When Viewing Emotions on Faces,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+c22aa66b2fad7ed31252b5e6276a0df371c57b4c,The neural network image captioning model based on adversarial training,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 c29ca739fa740b3155c755655d590582305ef9a8,Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 c28461e266fe0f03c0f9a9525a266aa3050229f0,Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

 c2c058afe227f2099aae4f204688b22239d6837a,Threatening faces fail to guide attention for adults with autistic-like traits.,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 c2c058afe227f2099aae4f204688b22239d6837a,Threatening faces fail to guide attention for adults with autistic-like traits.,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+c2d065bc8067384c40b3e8146cadc9a0c4c1d633,SLC25A12 expression is associated with neurite outgrowth and is upregulated in the prefrontal cortex of autistic subjects,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 c2af954c89972a716968f97a67cc3841290937d3,DERIVATIVE VARIATION PATTERN FOR ILLUMINATION-INVARIANT IMAGE REPRESENTATION,Tafresh University,Tafresh University,"دانشگاه تفرش, پاسداران, خرازان, بخش مرکزی, شهرستان تفرش, استان مرکزی, ‏ایران‎",34.68092465,50.05341352,edu,

 c2af954c89972a716968f97a67cc3841290937d3,DERIVATIVE VARIATION PATTERN FOR ILLUMINATION-INVARIANT IMAGE REPRESENTATION,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c28745625f048d86f2ad0f38a41ddc0683d36a96,"Looking, seeing and believing in autism: Eye movements reveal how subtle cognitive processing differences impact in the social domain.",University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 c28745625f048d86f2ad0f38a41ddc0683d36a96,"Looking, seeing and believing in autism: Eye movements reveal how subtle cognitive processing differences impact in the social domain.",University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 c2d102743e265d1b7c6073b087d030425786deb9,TIME-VARYING-GEOMETRY OBJECT SURVEILLANCE USING A MULTI-CAMERA ACTIVE-VISION SYSTEM,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+c238f871c029d8c33949f8410f8cf3bf79ffc102,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c253694c153cc016d745df089bae0220e7f297ee,Image Retrieval with Mixed Initiative and Multimodal Feedback,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 c268c0d62eac349468f786ac50342213ef7865e0,Visual Motif Discovery via First-Person Vision,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 c268c0d62eac349468f786ac50342213ef7865e0,Visual Motif Discovery via First-Person Vision,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,

 c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,China,China,China,35.86166000,104.19539700,edu,

 c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu,

+c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,China,China,China,35.86166000,104.19539700,edu,

+c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image Deblurring and Super-Resolution,China,China,China,35.86166000,104.19539700,edu,

 c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image Deblurring and Super-Resolution,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 3faedba96bd6b72c6669bdcb82ae0788cdcb3a43,A Study of Identification Performance of Facial Regions from CCTV Images,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 3feb69531653e83d0986a0643e4a6210a088e3e5,Using Group Prior to Identify People in Consumer Images,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,

@@ -212,12 +258,14 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De
 3f5741b49573122d278d1bff416ec34e1067a75a,A systemic approach to automatic metadata extraction from multimedia content,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu,

 3f623bb0c9c766a5ac612df248f4a59288e4d29f,"Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data",Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu,

 3fde656343d3fd4223e08e0bc835552bff4bda40,Character Identification Using Graph Matching Algorithm,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

+3fde656343d3fd4223e08e0bc835552bff4bda40,Character Identification Using Graph Matching Algorithm,India,India,India,20.59368400,78.96288000,edu,

 3f4684674d2f62e24b46140e2c5df29d061ffea1,Deep Ordinal Regression Network for Monocular Depth Estimation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 3f4684674d2f62e24b46140e2c5df29d061ffea1,Deep Ordinal Regression Network for Monocular Depth Estimation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 3f4684674d2f62e24b46140e2c5df29d061ffea1,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,

 3f4ba94a2964e62c52e7f283bea764ac19cffd40,A master-slave approach for object detection and matching with fixed and mobile cameras,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 3f4cc476cad942c80ac3fe26ebc6813f4f3ba9f0,Toward a Data Analysis Grid for Biometrics Research,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 3f2dbb34932edcb69295e57d4b8d6a8f68e28df4,Real-Time Compressive Tracking,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+3f14b504c2b37a0e8119fbda0eff52efb2eb2461,Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3f221547a4382a26208c5e76366a3cbcdfe6d90e,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 3f221547a4382a26208c5e76366a3cbcdfe6d90e,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 3f221547a4382a26208c5e76366a3cbcdfe6d90e,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

@@ -226,18 +274,23 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De
 3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9,Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 3f7cf52fb5bf7b622dce17bb9dfe747ce4a65b96,Person Identity Label Propagation in Stereo Videos,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 3f688723fb984bce9b60329f8f1ec3346be7f7e3,"Patterns of eye-movements when Male and Female observers judge female attractiveness , body fat and waist-to-hip ratio",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+3f688723fb984bce9b60329f8f1ec3346be7f7e3,"Patterns of eye-movements when Male and Female observers judge female attractiveness , body fat and waist-to-hip ratio",Finland,Finland,Finland,61.92411000,25.74815110,edu,

 3f688723fb984bce9b60329f8f1ec3346be7f7e3,"Patterns of eye-movements when Male and Female observers judge female attractiveness , body fat and waist-to-hip ratio",Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

 3ff4784d3f28c87f41c82ed9778c8c919b486cd4,Neural Baby Talk,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Pennsylvania State University,Pennsylvania State University,,,,edu,

 3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 3fe3f30ee1211f8936274b46a9a5a5b856234c19,Object Detection Meets Knowledge Graphs,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

 3f9ca2526013e358cd8caeb66a3d7161f5507cbc,Improving Sparse Representation-Based Classification Using Local Principal Component Analysis,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 3f42db34a79cf600b416a246ad3fd146a4afbdf4,Context-Sensitive Decision Forests for Object Detection,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+3f42db34a79cf600b416a246ad3fd146a4afbdf4,Context-Sensitive Decision Forests for Object Detection,"Microsoft Research Cambridge, UK","Microsoft Research Cambridge, UK","21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,edu,

 3f8b082c10561edd3ffc5d67a3d675cfdff6d94c,Information Bottleneck Learning Using Privileged Information for Visual Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 3fe4109ded039ac9d58eb9f5baa5327af30ad8b6,Spatio-Temporal GrabCut human segmentation for face and pose recovery,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 3f0f97d8256c6fe22a346bc54f8df67f6f674f22,Through-Wall Human Pose Estimation Using Radio Signals,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 3f3a483402a3a2b800cf2c86506a37f6ef1a5332,DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+3f3a483402a3a2b800cf2c86506a37f6ef1a5332,DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 3f3a483402a3a2b800cf2c86506a37f6ef1a5332,DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 3f540faf85e1f8de6ce04fb37e556700b67e4ad3,Face Verification with Multi-Task and Multi-Scale Feature Fusion,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 3fb054dbdff35b7ac3940c167e7292c7646e1ad9,Dictionary Learning and Sparse Coding on Statistical Manifolds,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,

@@ -254,10 +307,15 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De
 3fdfd6fa7a1cc9142de1f53e4ac7c2a7ac64c2e3,Intensity-Depth Face Alignment Using Cascade Shape Regression,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 3fdfd6fa7a1cc9142de1f53e4ac7c2a7ac64c2e3,Intensity-Depth Face Alignment Using Cascade Shape Regression,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 3f4377109a92cf4e422b7e2ae95ef3144323ea72,Bridging the Gap Between Synthetic and Real Data,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+3f4377109a92cf4e422b7e2ae95ef3144323ea72,Bridging the Gap Between Synthetic and Real Data,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,China,China,China,35.86166000,104.19539700,edu,

+3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,China,China,China,35.86166000,104.19539700,edu,

+3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,China,China,China,35.86166000,104.19539700,edu,

 3fb26f3abcf0d287243646426cd5ddeee33624d4,Joint Training of Cascaded CNN for Face Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 3f0126f467802562505d5f551dfb6bd138180268,Occluded Pedestrian Detection Through Guided Attention in CNNs,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 3f0126f467802562505d5f551dfb6bd138180268,Occluded Pedestrian Detection Through Guided Attention in CNNs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+3fb689c0f1db224d53d9fdaee578d3ff8522f807,"Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3f9f5a8966c035dc179a60c042b160aee2bf8f53,Deep Second-Order Siamese Network for Pedestrian Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 3f9f5a8966c035dc179a60c042b160aee2bf8f53,Deep Second-Order Siamese Network for Pedestrian Re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 3f19995932abbee5dacde0c31b78fb182712f610,Applying Deep Learning to Basketball Trajectories,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

@@ -266,19 +324,27 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De
 3fefc856a47726d19a9f1441168480cee6e9f5bb,Perceptually Valid Dynamics for Smiles and Blinks,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,

 3fefc856a47726d19a9f1441168480cee6e9f5bb,Perceptually Valid Dynamics for Smiles and Blinks,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,

 3f4798c7701da044bdb7feb61ebdbd1d53df5cfe,Vector quantization with constrained likelihood for face recognition,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

-3f3ce530fe7e75c648b6959980008b0b1f99727a,Multi-Instance Visual-Semantic Embedding,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+3f3ce530fe7e75c648b6959980008b0b1f99727a,Multi-Instance Visual-Semantic Embedding,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 3f4c262d836b2867a53eefb959057350bf7219c9,Recognizing Faces under Facial Expression Variations and Partial Occlusions,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,"Dr. B. C. Roy Engineering College, India",Dr. B. C. Roy Engineering College,"Dr. B. C. Roy Engineering College, Lenin Sarani, Durgapur, Bānkurā, West Bengal, 713200, India",23.54409755,87.34269707,edu,

+3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu,

 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu,

+3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu,

 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu,

+3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu,

 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu,

 3f5e8f884e71310d7d5571bd98e5a049b8175075,Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+3fbd68d1268922ee50c92b28bd23ca6669ff87e5,A shape- and texture-based enhanced Fisher classifier for face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3f40c1d8c2fe5d416ffca93049d3f3539fb52079,Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 e5b4700a615cde23b91be3eadf1c99642cd33e42,Joint Learning for Attribute-Consistent Person Re-Identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 e5fbffd3449a2bfe0acb4ec339a19f5b88fff783,Self-supervised learning of a facial attribute embedding from video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+e5fbffd3449a2bfe0acb4ec339a19f5b88fff783,Self-supervised learning of a facial attribute embedding from video,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

+e597aca96ea1c928f13d15b7c4b46e3d41861afe,Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion,Hewlett Packard Labs,Hewlett Packard Labs,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA",37.38607840,-121.98778070,edu,

 e597aca96ea1c928f13d15b7c4b46e3d41861afe,Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 e5a0e119ce4925a55910dcf0b5667ab551f8cdf1,Segmentation Free Object Discovery in Video,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-Time Video Classification Systems,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

@@ -288,15 +354,18 @@ e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-
 e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-Time Video Classification Systems,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-Time Video Classification Systems,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 e5b301ee349ba8e96ea6c71782295c4f06be6c31,The case for onloading continuous high-datarate perception to the phone,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

-e5b301ee349ba8e96ea6c71782295c4f06be6c31,The case for onloading continuous high-datarate perception to the phone,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+e5b301ee349ba8e96ea6c71782295c4f06be6c31,The case for onloading continuous high-datarate perception to the phone,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 e5687f9584deca1fafb68b50fa79b9fcfbd1d379,Zero-Shot Object Recognition Using Semantic Label Vectors,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 e5533c70706109ee8d0b2a4360fbe73fd3b0f35d,"How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)",University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu,

+e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu,

 e569f4bd41895028c4c009e5b46b935056188e91,"FISHER VECTOR FACES IN THE WILD 3 Facial landmark detection Aligned and cropped face Dense SIFT , GMM , and FV Discriminative dim",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,"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,

 e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,"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,

 e506cdb250eba5e70c5147eb477fbd069714765b,Heterogeneous Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 e5d53a335515107452a30b330352cad216f88fc3,Generalized Loss-Sensitive Adversarial Learning with Manifold Margins,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+e545f1c06799bfd2bd5f7eaed085fd60a388202f,A top-down manner-based DCNN architecture for semantic image segmentation,China,China,China,35.86166000,104.19539700,edu,

 e5983da736cdc4e1f0b324bf780e2b60772b4248,ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 e534582cfc1b98001fa1ad17cc1df47aeab1257f,Are We Looking in the Wrong Place? Implications for Behavioural-Based Pain Assessment in Rabbits (Oryctolagus cuniculi) and Beyond?,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

 e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recognition System for Online Games,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

@@ -305,7 +374,10 @@ e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recogniti
 e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recognition System for Online Games,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recognition System for Online Games,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 e52b0059addd08b6aeead3b4ebdb46594e44bd79,Real-Time Pedestrian Detection and Tracking,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu,

+e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,India,India,India,20.59368400,78.96288000,edu,

+e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,India,India,India,20.59368400,78.96288000,edu,

 e5a1864f6073f35920a8f7a0a368ff66b9dc6284,A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+e5346a581ade62e1ac4b272d26d340fe78b58faa,Weakly Supervised Semantic Segmentation Using Web-Crawled Videos,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

 e59e1c43ee86e3e68b83d8a9916ebe6375606bb3,Zero-Shot Transfer VQA Dataset,"Baidu Research, USA","Baidu Research, USA","1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,company,

 e5517a6e5094c159f4982c3b88174b8ae10c268a,Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 e5ee85c412942bdfd9df8cc519d4af31d6d08a67,Improved Training with Curriculum GANs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -327,54 +399,73 @@ a4bb4474e38140d183241f0c8cee13167a6d2c60,Person Re-identification Using Clusteri
 a470a81f989d5354239f1044c90e07b78c6beed7,RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 a470a81f989d5354239f1044c90e07b78c6beed7,RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 a470a81f989d5354239f1044c90e07b78c6beed7,RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+a48c71153265d6da7fbc4b16327320a5cbfa6cba,Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a481e394f58f2d6e998aa320dad35c0d0e15d43c,Selectively guiding visual concept discovery,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 a4d5ff6f1fb8b304c3e6fd5f1a7abd9b5c52955c,Spoofing 2D Face Detection: Machines See People Who Aren't There,"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,

 a45ec771ca2db81088c52c173eed9ec2022a8a70,Impaired recognition of negative basic emotions in autism: a test of the amygdala theory.,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 a45ec771ca2db81088c52c173eed9ec2022a8a70,Impaired recognition of negative basic emotions in autism: a test of the amygdala theory.,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu,

 a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

 a40476d94c5cf1f929ee9514d3761dca00dd774b,Watch List Face Surveillance Using Transductive Inference,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 a4acd75470152933faf9957f04579aa662a912a0,Energy efficient job scheduling in single-ISA heterogeneous chip-multiprocessors,Louisiana State University,Louisiana State University,"LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA",30.40550035,-91.18620474,edu,

+a41581276c5d6206ce79c1c7b319556de0d15234,Couch potato or gym addict ? Semantic lifestyle profiling with wearables and fuzzy knowledge graphs,"ISTI-CNR, Pisa, Italy","ISTI-CNR, Pisa, Italy","Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy",43.71925870,10.42079470,edu,

 a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,China,China,China,35.86166000,104.19539700,edu,

+a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,China,China,China,35.86166000,104.19539700,edu,

 a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-a4d9f1cec4b920126da60a0cf011740b9a27f275,DOC: Deep OCclusion Recovering From A Single Image,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+a4d9f1cec4b920126da60a0cf011740b9a27f275,DOC: Deep OCclusion Recovering From A Single Image,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 a4f29217d2120ed1490aea7e1c5b78c3b76e972f,Enhanced object detection via fusion with prior beliefs from image classification,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,

 a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0,A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS,India,India,India,20.59368400,78.96288000,edu,

+a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0,A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS,India,India,India,20.59368400,78.96288000,edu,

 a4a56ba73a3412ec2934bc85c7e3c555612077d9,Infrastructure Development for Integration of Lip Reading into the SUMMIT Speech Recognizer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 a4a56ba73a3412ec2934bc85c7e3c555612077d9,Infrastructure Development for Integration of Lip Reading into the SUMMIT Speech Recognizer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 a4a56ba73a3412ec2934bc85c7e3c555612077d9,Infrastructure Development for Integration of Lip Reading into the SUMMIT Speech Recognizer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 bce970f44680f3f3fbf2ebb7a53272afe8e4c5bb,Sparse Local Discriminant Projections for Face Feature Extraction,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 bce970f44680f3f3fbf2ebb7a53272afe8e4c5bb,Sparse Local Discriminant Projections for Face Feature Extraction,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,China,China,China,35.86166000,104.19539700,edu,

 bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 bc21bf4c733e117d2d969fd5605bba4251467243,Fusion of dynamic and static features for gait recognition over time,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 bc99f98b5f1fd158cc31d693061c402a36222dbb,Recent advances in understandi ng the neural bases of autism spectrum disorder,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc,Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc,Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc,Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction,China,China,China,35.86166000,104.19539700,edu,

 bc2953c2d177b18f0870ff9e7439e00a904a0b33,Please smile,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 bc2953c2d177b18f0870ff9e7439e00a904a0b33,Please smile,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 bc2953c2d177b18f0870ff9e7439e00a904a0b33,Please smile,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 bc12715a1ddf1a540dab06bf3ac4f3a32a26b135,Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 bc12715a1ddf1a540dab06bf3ac4f3a32a26b135,Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+bc12715a1ddf1a540dab06bf3ac4f3a32a26b135,Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 bcfd771ee51f2813e910b339d08d10057af1e294,Analysis of face recognition under varying facial expression: a survey,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 bc9024e573c6fa30b622286c7d7f460e4eb6a693,Gyroscope Drift Correction Algorithm for Inertial Measurement Unit Applications in Robotics,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu,

 bcd5412df9e3418ecedba9b95ab1d6ab506b5665,High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 bc910ca355277359130da841a589a36446616262,Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 bc871497626afb469d25c4975aa657159269aefe,Adaptive learning algorithm for pattern classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+bc871497626afb469d25c4975aa657159269aefe,Adaptive learning algorithm for pattern classification,China,China,China,35.86166000,104.19539700,edu,

 bcc0a12f8dbc3efcd3ef353b0173c49a8889e763,Automatic Face Anonymization in Visual Data: Are we really well protected?,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 bc7a3573a464bca2cdca71f6f32e798464b85ee6,Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 bc7a3573a464bca2cdca71f6f32e798464b85ee6,Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 bc7a3573a464bca2cdca71f6f32e798464b85ee6,Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 bc8e11b8cdf0cfbedde798a53a0318e8d6f67e17,Deep Learning for Fixed Model Reuse,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+bc8e11b8cdf0cfbedde798a53a0318e8d6f67e17,Deep Learning for Fixed Model Reuse,China,China,China,35.86166000,104.19539700,edu,

 bc494a3442ec7adff4527e60947214c0015f3b3a,Convolutional Image Captioning,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 bc25f5e10c839d08ac8827fbe7724cd713008803,Properties of Patch Based Approaches for the Recognition of Visual Object Classes,University of Oulu,University 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,

+bc25f5e10c839d08ac8827fbe7724cd713008803,Properties of Patch Based Approaches for the Recognition of Visual Object Classes,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 bc9c8831183b9b4e6cd78cefed7ec04d8096499f,CBAM: Convolutional Block Attention Module,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

 bc9003ad368cb79d8a8ac2ad025718da5ea36bc4,Facial expression recognition with a three-dimensional face model,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7,What value high level concepts in vision to language problems ?,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 bc6a0a107068b5a1715510e815c0103eaf80672a,Cross-pose Face Recognition by Canonical Correlation Analysis,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 bc6a0a107068b5a1715510e815c0103eaf80672a,Cross-pose Face Recognition by Canonical Correlation Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 bc6a0a107068b5a1715510e815c0103eaf80672a,Cross-pose Face Recognition by Canonical Correlation Analysis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -398,21 +489,30 @@ bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Perso
 bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

+bc6de183cd8b2baeebafeefcf40be88468b04b74,Age Group Recognition using Human Facial Images,India,India,India,20.59368400,78.96288000,edu,

 bc7e6175aed6538eca08962e133aede11fc75bcf,Multi-Scale Supervised Network for Human Pose Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+bc866c2ced533252f29cf2111dd71a6d1724bd49,A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 bc866c2ced533252f29cf2111dd71a6d1724bd49,A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+bc9c4b5379469a03415b5b35f8b627b2fbdbe967,Face Illumination Processing Using Wavelet Transform and Gradientfaces,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+bc9c4b5379469a03415b5b35f8b627b2fbdbe967,Face Illumination Processing Using Wavelet Transform and Gradientfaces,China,China,China,35.86166000,104.19539700,edu,

 bc99ff149c3c75b90f0110b8e72a9ae1300e29e7,Unsupervised Learning of Mixture Models with a Uniform Background Component,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 bc99ff149c3c75b90f0110b8e72a9ae1300e29e7,Unsupervised Learning of Mixture Models with a Uniform Background Component,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 bc15a2fd09df7046e7e8c7c5b054d7f06c3cefe9,Using deep autoencoders for facial expression recognition,"COMSATS Institute of Information Technology, Islamabad","COMSATS Institute of Information Technology, Islamabad","COMSATS Institute of Information Technology, Fence, Chak Shehzad, وفاقی دارالحکومت اسلام آباد, 45550, ‏پاکستان‎",33.65010145,73.15514949,edu,

 bc15a2fd09df7046e7e8c7c5b054d7f06c3cefe9,Using deep autoencoders for facial expression recognition,Information Technology University,Information Technology University (ITU),"Information Technology University (ITU), Ferozepur Road, Sher Shah Block, Garden Town, Al Noor Town, Lahore District, پنجاب, 54600, ‏پاکستان‎",31.47602990,74.34275260,edu,

 bc15a2fd09df7046e7e8c7c5b054d7f06c3cefe9,Using deep autoencoders for facial expression recognition,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu,

+bc8221265579032dde52f46b5adca39072755841,Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 bc8221265579032dde52f46b5adca39072755841,Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 bca7d615cc143a255c0dc65235ba1acbac86ba32,Learning to Adapt Structured Output Space for Semantic Segmentation,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 bc9f3c466c6f6b386f4ef1195853d498cf3c182e,Mapping Instructions and Visual Observations to Actions with Reinforcement Learning,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

-bc9f3c466c6f6b386f4ef1195853d498cf3c182e,Mapping Instructions and Visual Observations to Actions with Reinforcement Learning,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+bc9f3c466c6f6b386f4ef1195853d498cf3c182e,Mapping Instructions and Visual Observations to Actions with Reinforcement Learning,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 bcab55f8bf0623df71623e673c767eed2159f05a,Deep Hybrid Scattering Image Learning,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded Pairwise Convolutions,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded Pairwise Convolutions,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded Pairwise Convolutions,China,China,China,35.86166000,104.19539700,edu,

+8a92d17cff2096336796232e4e42bb11c590629d,Color Face Recognition Based on Curvelet Transform Ayşegül UÇAR,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 8a2e3453d5f88ce6ce73cc7731800cd512f95e64,Learning to Find Good Correspondences,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+8a0538eb80b5d41c0e5991aceeef47db01603033,Proposal Flow: Semantic Correspondences from Object Proposals,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8a9fb7a5e3035e013129d55887b05f63b1fc5ad0,Person-following UAVs,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 8a3bb63925ac2cdf7f9ecf43f71d65e210416e17,ShearFace: Efficient Extraction of Anisotropic Features for Face Recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

 8a0159919ee4e1a9f4cbfb652a1be212bf0554fd,"Application of power laws to biometrics, forensics and network traffic analysis",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

@@ -423,21 +523,28 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 8a3f109222afbc83810cfa952fe68e33da6acd91,Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 8aff946f5d678f689cc9476e48d8b122671205ae,"Neuron numbers increase in the human amygdala from birth to adulthood, but not in autism",New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 8a091254ba45ab9fe7d72c8104409bee5aa8f199,Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8a1f46d56ef6dfa34412986a802b5affe2512000,Aided Action Recognition Using Single Images,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu,

 8a1f46d56ef6dfa34412986a802b5affe2512000,Aided Action Recognition Using Single Images,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu,

 8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b,VOP: Architecture of a Processor for Vector Operations in On-Line Learning of Neural Networks,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b,VOP: Architecture of a Processor for Vector Operations in On-Line Learning of Neural Networks,India,India,India,20.59368400,78.96288000,edu,

+8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b,VOP: Architecture of a Processor for Vector Operations in On-Line Learning of Neural Networks,India,India,India,20.59368400,78.96288000,edu,

 8acbf69f5877dac506bf04dc1802f327247cc27e,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 8acbf69f5877dac506bf04dc1802f327247cc27e,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 8a3c5507237957d013a0fe0f082cab7f757af6ee,Facial Landmark Detection by Deep Multi-task Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 8a26431833b0ea8659ef1d24bff3ac9e56dcfcd0,VoxCeleb: a large-scale speaker identification dataset,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 8a7882f765822ecc1f72610277037228c24e7bf7,Examining Performance of Sketch-to-Image Translation Models with Multiclass Automatically Generated Paired Training Data,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 8af9f7c920a87acb3ae127756f498a51b535790a,Exploring Contextual Engagement for Trauma Recovery,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu,

+8a91ad8c46ca8f4310a442d99b98c80fb8f7625f,2D Segmentation Using a Robust Active Shape Model With the EM Algorithm,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8ade817b8af7a1ad4192f5974454373efd1402ab,Class representative autoencoder for low resolution multi-spectral gender classification,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 8a1294d2093b7f339e3d33da46e008aca3528893,FoveaNet: Perspective-Aware Urban Scene Parsing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 8a12edaf81fd38f81057cf9577c822eb09ff6fc1,Measuring and mitigating targeted biometric impersonation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 8a12edaf81fd38f81057cf9577c822eb09ff6fc1,Measuring and mitigating targeted biometric impersonation,University of Oulu,University 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,

+8a77025bde5479a1366bb93c6f2366b5a6293720,Sharp Attention Network via Adaptive Sampling for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8a8224266b8ab1483f6548307ab96227147f34da,Zero-Shot Visual Question Answering,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 8a8861ad6caedc3993e31d46e7de6c251a8cda22,StreetStyle: Exploring world-wide clothing styles from millions of photos,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+8ab183883acba0501c3315a914aee755b5e517d8,Synthesis-based Robust Low Resolution Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a,Video Action Detection with Relational Dynamic-Poselets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a,Video Action Detection with Relational Dynamic-Poselets,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a,Video Action Detection with Relational Dynamic-Poselets,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -447,6 +554,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 8a3f85c80c698f15639ced90b4e9d4baa23b572e,MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 8a3eaaef13bdaee26142fd2784de07e1d24926ca,Design and evaluation of photometric image quality measures for effective face recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 8a5099b2ae6912b4df22534a1b3065e147c38b9c,Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+8a7bd4202e49fcdb947d71c9f2da0e7a953c7021,PRIVACY AND SECURITY ASSESSMENT OF BIOMETRIC TEMPLATE PROTECTION,China,China,China,35.86166000,104.19539700,edu,

 8a7bd4202e49fcdb947d71c9f2da0e7a953c7021,PRIVACY AND SECURITY ASSESSMENT OF BIOMETRIC TEMPLATE PROTECTION,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 8aa85d2f81d7496cf7105ee0a3785f140ddaa367,Efficient processing of MRFs for unconstrained-pose face recognition,Urmia University,Urmia University,"دانشگاه ارومیه, خیابان اداره گاز (منصور افشار), دانشکده, ارومیه, بخش مرکزی, شهرستان ارومیه, استان آذربایجان غربی, 444655677, ‏ایران‎",37.52914535,45.04886077,edu,

 8aa85d2f81d7496cf7105ee0a3785f140ddaa367,Efficient processing of MRFs for unconstrained-pose face recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

@@ -461,6 +569,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 8a722c17e6bda2df13f03ca522119f4c8b5bfff8,Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,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,

 8a722c17e6bda2df13f03ca522119f4c8b5bfff8,Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,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,

 8a722c17e6bda2df13f03ca522119f4c8b5bfff8,Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,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,

+8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e,NLP EAC Recognition by Component Separation in the Eye Region,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 8ad0d8cf4bcb5c7eccf09f23c8b7d25439c4ae2b,Predicting the Future with Transformational States,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 8a05ac5e375ebf80b5fb88f207a9d33d5765c27b,2 D-3 D Hybrid Face Recognition Based on PCA and Feature Modelling,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 8a268c9d76043e33e958d8bc908cd703ef5405b4,FEASIBILITY OF IN-PLANE ARTICULATION MONITORING OF EXCAVATOR ARM USING PLANAR MARKER TRACKING,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

@@ -482,13 +591,14 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe,Learning to Evaluate Image Captioning,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 6d97e69bbba5d1f5c353f9a514d62aff63bc0fb1,Semi-supervised learning for facial expression recognition,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,

 6d97e69bbba5d1f5c353f9a514d62aff63bc0fb1,Semi-supervised learning for facial expression recognition,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

+6d66c98009018ac1512047e6bdfb525c35683b16,Face Recognition Based on Fitting a 3D Morphable Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6da7f9d647b59fbf8d6a389caab26c5331e2cd93,Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu,

 6dd3a95bd46e3ab9c3f649a2034bf5ddba19c710,Learning deep representations for semantic image parsing: a comprehensive overview,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 6d5e12ee5d75d5f8c04a196dd94173f96dc8603f,"Learning a similarity metric discriminatively, with application to face verification",Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 6d5e12ee5d75d5f8c04a196dd94173f96dc8603f,"Learning a similarity metric discriminatively, with application to face verification",New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 6d0177bb1cd292a2ad4a14e7b9173fcc8b72569c,Leveraging Textural Features for Recognizing Actions in Low Quality Videos,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 6d7a32f594d46f4087b71e2a2bb66a4b25da5e30,Towards Person Authentication by Fusing Visual and Thermal Face Biometrics,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

-6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19,Understanding Representations and Reducing their Redundancy in Deep Networks,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19,Understanding Representations and Reducing their Redundancy in Deep Networks,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 6dd2a0f9ca8a5fee12edec1485c0699770b4cfdf,Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 6dd2a0f9ca8a5fee12edec1485c0699770b4cfdf,Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d,Robust Deep Appearance Models,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

@@ -496,8 +606,15 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 6d4e3616d0b27957c4107ae877dc0dd4504b69ab,Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification,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,

 6d8e3f3a83514381f890ab7cd2a1f1c5be597b69,Recognition in Images of Natural Scenes,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 6d8e3f3a83514381f890ab7cd2a1f1c5be597b69,Recognition in Images of Natural Scenes,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

+6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 6da446b59944db9b3d7412ad0efc6c189812d56a,Facial Expression Recognition Using Depth Information and Spatiotemporal Features,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu,

 6d1cfdb82122cefbc0f27ee7a02d6a22483d6a05,Static pose estimation from depth images using random regression forests and Hough voting,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,India,India,India,20.59368400,78.96288000,edu,

+6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,India,India,India,20.59368400,78.96288000,edu,

+6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,India,India,India,20.59368400,78.96288000,edu,

 6d741691b7164b636678340dbb5823e437e1c5a9,"Beyond Controllers Human Segmentation , Pose , and Depth Estimation as Game Input Mechanisms",Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 6dbe76f51091ca6a626a62846a946ce687c3dbe8,INCREMENTAL OBJECT MATCHING WITH PROBABILISTIC METHODS Doctoral dissertation,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 6d74e491bae5ec2768c0ceb27e54669704c47ca6,Family verification based on similarity of individual family member’s facial segments,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

@@ -505,6 +622,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 6d5125c9407c7762620eeea7570af1a8ee7d76f3,Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 6d3c8c5869b512090b1283fba28f01c2748b0ebc,Recurrent neural networks for object detection in video sequences,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 6dff2bcbfad53238d24f4467a9504ce33ecdfa4d,Illumination Normalization for Color Face Images,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,g,g,"612 Main St, Neodesha, KS 66757, USA",37.41819100,-95.68183430,edu,

 6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu,

 6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -515,18 +633,26 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

+6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 6d0b4f5b3391463376c013a6c00d76daf38da578,"A Simple, Fast Diverse Decoding Algorithm for Neural Generation",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,China,China,China,35.86166000,104.19539700,edu,

+6dddf1440617bf7acda40d4d75c7fb4bf9517dbb,"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,

 6d60c427036e63957f1ce72930146964c5743749,Deep Convolutional Neural Networks for Smile Recognition,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,

 6d07e176c754ac42773690d4b4919a39df85d7ec,Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

+6d071848a3fd4e6c3184db0a68a41559ec9a47c8,An approach to Enhance Automatic Diagnosis of Diabetic Retinopathy and Classification by Hybrid Multilayer Feed forward Neural Networks by Genetic Algorithm,India,India,India,20.59368400,78.96288000,edu,

 6de1299a192fdb852846e3cfa4a428b8fe81523f,Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,China,China,China,35.86166000,104.19539700,edu,

 6d4559883ffb8cc611644dce9f1422a98139a7eb,Preserving Semantic Relations for Zero-Shot Learning,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+6d973fb5f682c491be94aa40a184a1707a8dc24a,Combining Multiple Image Segmentations by Maximizing Expert Agreement,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+6dd0597f8513dc100cd0bc1b493768cde45098a9,Learning to parse images of articulated bodies,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 30caeca74168cd841759cef951c947f44ef0f547,Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 30caeca74168cd841759cef951c947f44ef0f547,Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 30e547dfab832ea0428b137d9e4824a22d8efd0b,Lazier Than Lazy Greedy,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

@@ -543,7 +669,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 309acdd149f5f0ea12acb103b36bb59e6e631671,Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 309acdd149f5f0ea12acb103b36bb59e6e631671,Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 309acdd149f5f0ea12acb103b36bb59e6e631671,Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

-30193451e552286645baa00db7dcd05780d9e1da,On Available Corpora for Empirical Methods in Vision & Language,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+30193451e552286645baa00db7dcd05780d9e1da,On Available Corpora for Empirical Methods in Vision & Language,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 301909da354bc1cdb3c81fd49c5e5aef7873560a,Inference Compilation and Universal Probabilistic Programming,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 303a7099c01530fa0beb197eb1305b574168b653,Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 303a7099c01530fa0beb197eb1305b574168b653,Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -551,9 +677,11 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 309712bb1858f28983ac1460d2cb43e64ddc6bd4,Robot Perception of Human Groups in the Real World: State of the Art,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 305887fe0fce91470c6cb042616cb36486dc0e3b,SelfKin: Self Adjusted Deep Model For Kinship Verification,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

 30f464c09779c6210397204901d025c0def1fe10,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+30f464c09779c6210397204901d025c0def1fe10,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,China,China,China,35.86166000,104.19539700,edu,

 30722904751c2e1cf287f268befdec2e4223b086,Accurate Eye Center Localization via Hierarchical Adaptive Convolution,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu,

 30722904751c2e1cf287f268befdec2e4223b086,Accurate Eye Center Localization via Hierarchical Adaptive Convolution,University of Plymouth,University of Plymouth,"Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37525010,-4.13927692,edu,

 3070a1bd503c3767def898bbd50c7eea2bbf29c9,Wider or Deeper: Revisiting the ResNet Model for Visual Recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+30c96cc041bafa4f480b7b1eb5c45999701fe066,Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 306127c3197eb5544ab1e1bf8279a01e0df26120,Sparse Coding and Dictionary Learning with Linear Dynamical Systems,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 30f49d6595359a4a18c728ec83f99346d1e16348,Intact Reflexive but Deficient Voluntary Social Orienting in Autism Spectrum Disorder,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu,

 30f49d6595359a4a18c728ec83f99346d1e16348,Intact Reflexive but Deficient Voluntary Social Orienting in Autism Spectrum Disorder,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

@@ -567,10 +695,17 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 3039627fa612c184228b0bed0a8c03c7f754748c,Robust regression on image manifolds for ordered label denoising,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,

 303225eaedd489f61ac36e1f39cd04db7fd8bd41,Facial Affect Recognition for Cognitive-behavioural Therapy,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 3067885f8f7d6d09a376ab4c5c83eb3fa5e5141a,Text-to-Image Generation Using Multi-Instance StackGan,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+3002b5180c4b4fbf9c07145b5b435846c729c724,Reconstruction of Partially Occluded Face by Fast Recursive PCA,China,China,China,35.86166000,104.19539700,edu,

 3002b5180c4b4fbf9c07145b5b435846c729c724,Reconstruction of Partially Occluded Face by Fast Recursive PCA,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 302bf028487b50bed33bc6d36971b8ecf06393ab,Landmark Localisation in 3D Face Data,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

+302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

+302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 3000921934fa84cba1a38a602f403460531e0cc5,Image based Face Sketch-to-Photo via Online Coupled Dictionary Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+306957285fea4ce11a14641c3497d01b46095989,Face recognition under varying lighting based on derivates of log image,China,China,China,35.86166000,104.19539700,edu,

+306957285fea4ce11a14641c3497d01b46095989,Face recognition under varying lighting based on derivates of log image,China,China,China,35.86166000,104.19539700,edu,

 30a14aabde46aa236a7b437a4942a92d417f3653,Incremental Learning Framework for Indoor Scene Recognition,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

+30f7609d111bb3bc006e3dd38678291528aa14d3,A new approach for extracting and summarizing abnormal activities in surveillance videos,China,China,China,35.86166000,104.19539700,edu,

 304fa45de90874e89b7a5511c88551994ea8c89d,Charting the typical and atypical development of the social brain.,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,

 30cd39388b5c1aae7d8153c0ab9d54b61b474ffe,Deep Recurrent Regression for Facial Landmark Detection,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 30cd39388b5c1aae7d8153c0ab9d54b61b474ffe,Deep Recurrent Regression for Facial Landmark Detection,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -579,12 +714,15 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 301662c2a6ed86e48f21c1d24bfc67b403201b0c,Repetition Suppression in Ventral Visual Cortex Is Diminished as a Function of Increasing Autistic Traits,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 30998485c920f62c307c29c4832b70bbce748eaf,Local Similarity-Aware Deep Feature Embedding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3081b725e1764ec754bee1fe5487000b7adf7936,Slum Segmentation and Change Detection : A Deep Learning Approach,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+30b32f4a6341b5809428df1271bdb707f2418362,A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 30180f66d5b4b7c0367e4b43e2b55367b72d6d2a,Template Adaptation for Face Verification and Identification,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 30654fd93360a339e271d4b194b7f7463b2c5dac,COSTA: Co-Occurrence Statistics for Zero-Shot Classification,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,

 307c5c0a61e318a65bd65af694ce89c275fd7299,Face Mis-alignment Analysis by Multiple-Instance Subspace,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 30e28beb92239447aff0718119195c0539aa58d8,Data Summarization at Scale: A Two-Stage Submodular Approach,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 3026722b4cbe9223eda6ff2822140172e44ed4b1,Jointly estimating demographics and height with a calibrated camera,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 30fcfc6b7fe1809d79ea6ce08f50e2e53c203800,Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+30fcfc6b7fe1809d79ea6ce08f50e2e53c203800,Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+3005a4afddab849d9070788ac0e4e95e0fff2216,"Transfer Metric Learning: Algorithms, Applications and Outlooks",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3073eff17368262d7c605bbcaf3b2fb015754d39,Voice conversion versus speaker verification : an overview,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 3073eff17368262d7c605bbcaf3b2fb015754d39,Voice conversion versus speaker verification : an overview,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 30efb804cd408471dad6b7ba6429ee1c5f1d9015,Assessment of Time Dependency in Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

@@ -594,12 +732,16 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 30b6811205b42e92d7a82c606d4521319764250b,Low cost illumination invariant face recognition by down-up sampling self quotient image,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 303be881f6cd4907c5e357bc1bb5547d8ea1da5a,Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu,

 303be881f6cd4907c5e357bc1bb5547d8ea1da5a,Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

+303be881f6cd4907c5e357bc1bb5547d8ea1da5a,Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 30a088d311987f43a08f95e8def1e9d2d7f3c46e,Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu,

+30b15cdb72760f20f80e04157b57be9029d8a1ab,Face Aging with Identity-Preserved Conditional Generative Adversarial Networks,Baidu,Baidu,"1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,edu,

 30d21b5baf9514d26da749c6683c49b4fa55f2b5,Towards a unified account of face ( and maybe object ) processing,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 30def55b6277f1e636dfebe12799b12a1b3f48a2,Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 30e18a16d4c7092694d55743ff92965e5dec2692,"Hormonal contraceptives, menstrual cycle and brain response to faces.",University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 30e18a16d4c7092694d55743ff92965e5dec2692,"Hormonal contraceptives, menstrual cycle and brain response to faces.",University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

 30a4637cbc461838c151073b265fb08e00492ff4,Weakly Supervised Object Localization with Progressive Domain Adaptation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 30723ada764c6ec186927522d666eaa8eeae35b1,Deep Covariance Descriptors for Facial Expression Recognition,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 304b1f14ca6a37552dbfac443f3d5b36dbe1a451,Collaborative Low-Rank Subspace Clustering,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu,

 304b1f14ca6a37552dbfac443f3d5b36dbe1a451,Collaborative Low-Rank Subspace Clustering,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -607,6 +749,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 3be8f1f7501978287af8d7ebfac5963216698249,Deep Cascaded Regression for Face Alignment,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 3be8f1f7501978287af8d7ebfac5963216698249,Deep Cascaded Regression for Face Alignment,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 3b01a839d174dad6f2635cff7ebe7e1aaad701a4,Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+3b01a839d174dad6f2635cff7ebe7e1aaad701a4,Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 3b4bee3fc38c9e36fec1ff45acb143c6cf9e64d1,Single RGB Image Depth and Certainty Estimation via Deep Network and Dropout,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 3bb6570d81685b769dc9e74b6e4958894087f3f1,Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 3b0b706fc94b35a1eddd830685e07870315b9565,Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -622,23 +765,33 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 3b7f6035a113b560760c5e8000540fc46f91fed5,Coupling Alignments with Recognition for Still-to-Video Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 3b60af814574ebe389856e9f7008bb83b0539abc,Label Refinement Network for Coarse-to-Fine Semantic Segmentation.,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 3b60af814574ebe389856e9f7008bb83b0539abc,Label Refinement Network for Coarse-to-Fine Semantic Segmentation.,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

-3bdef2961f9572d2d0f35148a7fa8a3a81f50dea,Finding the weakest link in person detectors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3bdef2961f9572d2d0f35148a7fa8a3a81f50dea,Finding the weakest link in person detectors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c,A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 3b788fd0817336b3db3e111fa2ff50b665070e95,"Multi-view traffic sign detection, recognition, and 3D localisation",Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu,

 3bc376f29bc169279105d33f59642568de36f17f,Active shape models with SIFT descriptors and MARS,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu,

 3b84d074b8622fac125f85ab55b63e876fed4628,End-to-End Localization and Ranking for Relative Attributes,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 3ba2cc665165e5f9ab61c8fb81cf6eec7c82a316,"Unsupervised Depth Estimation, 3D Face Rotation and Replacement",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,

+3bfa75238e15e869b902ceb62b31ffddbe8ccb0d,Describing Images using Inferred Visual Dependency Representations,China,China,China,35.86166000,104.19539700,edu,

 3b466bb66ee79c8e9bcdb6cf9acb54b864dda735,"Joint inference of groups, events and human roles in aerial videos",Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

+3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e,Local Directional Number Pattern for Face Analysis: Face and Expression Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3bb1c6290b208cda17f1142215c952e40761769d,Fast and accurate object detection in high resolution 4K and 8K video using GPUs,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,

 3bd56f4cf8a36dd2d754704bcb71415dcbc0a165,Robust Regression,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 3b64efa817fd609d525c7244a0e00f98feacc8b4,A Comprehensive Survey on Pose-Invariant Face Recognition,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 3b5128bfe35875d0cead04b7d19024d841b605f9,Multispectral pedestrian detection: Benchmark dataset and baseline,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

+3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,China,China,China,35.86166000,104.19539700,edu,

+3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,China,China,China,35.86166000,104.19539700,edu,

+3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,China,China,China,35.86166000,104.19539700,edu,

 3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,China,China,China,35.86166000,104.19539700,edu,

+3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,China,China,China,35.86166000,104.19539700,edu,

 3b73f8a2b39751efb7d7b396bf825af2aaadee24,Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 3bf0d20c2eb75076bff255884635c2fe3ffc98d2,Multimodal Analysis of Verbal and Nonverbal Behaviour on the Example of Clinical Depression,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+3bbdfa097a4c39012cb322b23051e360c2f7f023,Learning Race from Face: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3b23c39f21156f9ea86ad8bb2ca53b2cf56b4181,Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems,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,

 3b23c39f21156f9ea86ad8bb2ca53b2cf56b4181,Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 3b2a2357b12cf0a5c99c8bc06ef7b46e40dd888e,Learning Person Trajectory Representations for Team Activity Analysis,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+3b2df7d70ecbe3d0d65d27801d159ddaa150bf42,Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3b8a5be5508f809a2d68a78d21cbf1690db57d5c,Large Scale Sketch Based Image Retrieval Using Patch Hashing,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 3bac7069b9d3051f40ef4eecacc517d02107ba4a,Early Recognition of Human Activities from First-Person Videos Using Onset Representations.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 3bac7069b9d3051f40ef4eecacc517d02107ba4a,Early Recognition of Human Activities from First-Person Videos Using Onset Representations.,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

@@ -646,26 +799,33 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8,"Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study",Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8,"Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study",Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8,"Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study",University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

+3bcca85ad84806be6d38d3882f7a6aac0ad90253,Video captioning with recurrent networks based on frame- and video-level features and visual content classification,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,China,China,China,35.86166000,104.19539700,edu,

 3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 3b964d6a527f24b1a1f8499b0f4dbb0ed982d5e2,GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 3b964d6a527f24b1a1f8499b0f4dbb0ed982d5e2,GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+3b2d5585af59480531616fe970cb265bbdf63f5b,Robust Face Recognition under Varying Light Based on 3D Recovery,China,China,China,35.86166000,104.19539700,edu,

 3b2d5585af59480531616fe970cb265bbdf63f5b,Robust Face Recognition under Varying Light Based on 3D Recovery,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 3be027448ad49a79816cd21dcfcce5f4e1cec8a8,Actively selecting annotations among objects and attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 3b67645cd512898806aaf1df1811035f2d957f6b,SCNet: Learning Semantic Correspondence,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

+3b47e618c5ceb1c16db7f709dd1cfe53d7417b54,Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3bdf8de95b8631af1c6ed10e5c9dac2ceccf571c,Understanding and Mapping Natural Beauty,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 3bdf8de95b8631af1c6ed10e5c9dac2ceccf571c,Understanding and Mapping Natural Beauty,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 3b9d48a09510ebd8bd5045ba455279abb0a9baf8,Asynchronous Nonlinear Fractal Operators and Their Applications,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu,

 3b408a3ca6fb39b0fda4d77e6a9679003b2dc9ab,Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 3b470b76045745c0ef5321e0f1e0e6a4b1821339,Consensus of Regression for Occlusion-Robust Facial Feature Localization,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+3b470b76045745c0ef5321e0f1e0e6a4b1821339,Consensus of Regression for Occlusion-Robust Facial Feature Localization,"Adobe Research, San Jose, CA 95110, USA","Adobe Research, San Jose, CA 95110, USA","345 Park Ave, San Jose, CA 95110, USA",37.33093070,-121.89404850,edu,

 3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

-3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

-3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+3b374fd726c8cd2c79c1092d76e3583265866362,Superpixel Convolutional Networks using Bilateral Inceptions,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 3ba80d94cd19f24566b454c4a82a1e499a029158,Organising a photograph collection based on human appearance,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 3b152bdeedb97d68dd69bbb806c60c205e6fa696,Patch-Based Principal Component Analysis for Face Recognition,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+3b152bdeedb97d68dd69bbb806c60c205e6fa696,Patch-Based Principal Component Analysis for Face Recognition,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 3b092733f428b12f1f920638f868ed1e8663fe57,On the size of Convolutional Neural Networks and generalization performance,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 3bdcc99f45b58e4ddf4ffde5f58bea1ddada2744,Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task,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,

 3bebff841ce7d40f0309bbc0e8cc454694061e82,Segmenting Scenes by Matching Image Composites,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,

@@ -677,6 +837,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 3be9286e5d6a9d9167c64b05be6fb0712ffbba35,Recurrent Autoregressive Networks for Online Multi-object Tracking,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 3b4ec8af470948a72a6ed37a9fd226719a874ebc,A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 3b4ec8af470948a72a6ed37a9fd226719a874ebc,A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+3b4ec8af470948a72a6ed37a9fd226719a874ebc,A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 3bad18554678ab46bbbf9de41d36423bc8083c83,Weakly Supervised Object Boundaries,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 3b9c08381282e65649cd87dfae6a01fe6abea79b,CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3b9c08381282e65649cd87dfae6a01fe6abea79b,CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

@@ -685,26 +846,36 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 3bdf9c8ba5f5cf1845fe69b3874f0036ea8c245a,Latent Space Optimal Transport for Generative Models,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 3b3550680136aa2fe3bd57c9faa3bfa0dfb3e748,Forensic Face Recognition : A Survey,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 3bb02eabd178aa5ab4ea4fe778b01356b70f51ab,Deep Priority Hashing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

-4706d61276b953eadeac572bd449cfa70d2e0b82,Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+4706d61276b953eadeac572bd449cfa70d2e0b82,Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 47b0e2fde37b3d1810a5b5a19597765fd76c691e,Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 4745baf6c4ae7a088f03340fcc05ad7d18a0aca2,Multi-label Image Classification with A Probabilistic Label Enhancement Model,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 4774b9853968b12156287bd42bb425d79f99e313,Online Multi-object Tracking Based on Hierarchical Association Framework,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

+470dbd3238b857f349ebf0efab0d2d6e9779073a,Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+47d4838087a7ac2b995f3c5eba02ecdd2c28ba14,Automatic Recognition of Deceptive Facial Expressions of Emotion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4771af2eeb920bde146c74ee0f56bd421793cd33,ste-GAN-ography: Generating Steganographic Images via Adversarial Training,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 4771af2eeb920bde146c74ee0f56bd421793cd33,ste-GAN-ography: Generating Steganographic Images via Adversarial Training,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+47bd6c1d7da596d3cf79f06ec0de816d10f11beb,Coupled Discriminant Analysis for Heterogeneous Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 47c5a9fdc2adb340c5cc61ea97c23a2036f2c086,A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+47c5a9fdc2adb340c5cc61ea97c23a2036f2c086,A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO,China,China,China,35.86166000,104.19539700,edu,

+47c5a9fdc2adb340c5cc61ea97c23a2036f2c086,A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO,China,China,China,35.86166000,104.19539700,edu,

 47ecc0924c2a17a6664d9ff6c31e2b9b6e490294,An SVM Confidence-Based Approach to Medical Image Annotation,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 477ca04e9c6b9fd8326af7e11c6d60b6ada2f42a,Adapting Models to Signal Degradation using Distillation,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 476d39acd79319665efad22ef8b412529328f2cd,Extraction and Segmentation of Sputum Cells for Lung Cancer Early Diagnosis,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu,

 47b6cc487a7a257c405610b5830b67f30c514922,Object Proposal via Partial Re-ranking,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

+47b6cc487a7a257c405610b5830b67f30c514922,Object Proposal via Partial Re-ranking,China,China,China,35.86166000,104.19539700,edu,

 47b6cc487a7a257c405610b5830b67f30c514922,Object Proposal via Partial Re-ranking,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+475e16577be1bfc0dd1f74f67bb651abd6d63524,DAiSEE: Towards User Engagement Recognition in the Wild,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+47022785c35735a242dbacd4f1f1bb73628493ea,Person Retrieval Based on Viewpoint Saliency Prior,China,China,China,35.86166000,104.19539700,edu,

 47f84928dd6e40797255fa1e1bbb3c12b2659a7c,Input selection for fast feature engineering,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 47f84928dd6e40797255fa1e1bbb3c12b2659a7c,Input selection for fast feature engineering,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+47a2727bd60e43f3253247b6d6f63faf2b67c54b,Semi-supervised Vocabulary-Informed Learning,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 47382cb7f501188a81bb2e10cfd7aed20285f376,Articulated Pose Estimation Using Hierarchical Exemplar-Based Models,Columbia University ,Columbia University in the City of New York,"Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA",40.80717720,-73.96252798,edu,

 47dabb566f2bdd6b3e4fa7efc941824d8b923a13,Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 4767a0c9f7261a4265db650d3908c6dd1d10a076,Joint tracking and segmentation of multiple targets,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 47662d1a368daf70ba70ef2d59eb6209f98b675d,The CMU Face In Action (FIA) Database,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,

 47662d1a368daf70ba70ef2d59eb6209f98b675d,The CMU Face In Action (FIA) Database,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 4793f11fbca4a7dba898b9fff68f70d868e2497c,Kinship verification through transfer learning,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu,

+4793f11fbca4a7dba898b9fff68f70d868e2497c,Kinship verification through transfer learning,China,China,China,35.86166000,104.19539700,edu,

 472500bb0fc49354445b25f851905dda621a42d0,Understanding and Predicting Interestingness of Videos,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 473cbc5ec2609175041e1410bc6602b187d03b23,Semantic Audio-Visual Data Fusion for Automatic Emotion Recognition,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 47fdbd64edd7d348713253cf362a9c21f98e4296,Facial point detection based on a convolutional neural network with optimal mini-batch procedure,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu,

@@ -726,18 +897,20 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 47638197d83a8f8174cdddc44a2c7101fa8301b7,Object-Centric Anomaly Detection by Attribute-Based Reasoning,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 47638197d83a8f8174cdddc44a2c7101fa8301b7,Object-Centric Anomaly Detection by Attribute-Based Reasoning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 47638197d83a8f8174cdddc44a2c7101fa8301b7,Object-Centric Anomaly Detection by Attribute-Based Reasoning,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

-47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

-47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 47eba2f95679e106e463e8296c1f61f6ddfe815b,Deep Co-occurrence Feature Learning for Visual Object Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 47eba2f95679e106e463e8296c1f61f6ddfe815b,Deep Co-occurrence Feature Learning for Visual Object Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

+47d3b923730746bfaabaab29a35634c5f72c3f04,Real-Time Facial Expression Recognition App Development on Smart Phones,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu,

 47190d213caef85e8b9dd0d271dbadc29ed0a953,The Devil of Face Recognition is in the Noise,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 47190d213caef85e8b9dd0d271dbadc29ed0a953,The Devil of Face Recognition is in the Noise,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 472541ccd941b9b4c52e1f088cc1152de9b3430f,Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 479cd0af9f345bd44cd180a5e26f3e799391e31d,Supervised local subspace learning for continuous head pose estimation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 479cd0af9f345bd44cd180a5e26f3e799391e31d,Supervised local subspace learning for continuous head pose estimation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 479cd0af9f345bd44cd180a5e26f3e799391e31d,Supervised local subspace learning for continuous head pose estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+47caa516511a111b9dfd04f0eae55c6568bddb6c,Joint Tensor Feature Analysis For Visual Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 474d84a1cc5bf2be1004f07732c470b240049780,DAFE-FD: Density Aware Feature Enrichment for Face Detection,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu,

 47d8d8ead70e26eb791c4dea5fe1a4d666ee2462,Single Image 3D without a Single 3D Image,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 47493ad6e6d5591086c8a2b812bfae85aae50193,On gradient regularizers for MMD GANs,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

@@ -754,8 +927,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 47203943c86e4d9355ffd99cd3d75f37211fd805,Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 47203943c86e4d9355ffd99cd3d75f37211fd805,Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu,

-479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,China,China,China,35.86166000,104.19539700,edu,

+479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,China,China,China,35.86166000,104.19539700,edu,

 4747d169a5d6b48febfa111a8b28680159eb3bb2,Detecting People in Artwork with CNNs,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

+471befc1b5167fcfbf5280aa7f908eff0489c72b,Class-Specific Kernel-Discriminant Analysis for Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 476f4b82c82a1b328b750ac0f7202a7737a11734,Can surgical simulation be used to train detection and classification of neural networks?,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 473366f025c4a6e0783e6174ca914f9cb328fe70,Review of Action Recognition and Detection Methods,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 471635c61fffa75cd09121b14e4da155c667c5bf,Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale,"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,

@@ -765,7 +940,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 99daa2839213f904e279aec7cef26c1dfb768c43,DocFace: Matching ID Document Photos to Selfies,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 992eca71ee8314ede9bf680b6966730f6bb77bc5,Likability’s Effect on Interpersonal Motor Coordination: Exploring Natural Gaze Direction,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 992eca71ee8314ede9bf680b6966730f6bb77bc5,Likability’s Effect on Interpersonal Motor Coordination: Exploring Natural Gaze Direction,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,Harbin Institute of Technology (Shenzhen),Harbin Institute of Technology (Shenzhen),"China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu,

 993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 992b93ab9d016640551a8cebcaf4757288154f32,Nested Pictorial Structures,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 995495e36f4a2af999875ea4f197ca98c5e5c8de,Dynamic Task Prioritization for Multitask Learning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -774,25 +951,35 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 99911a8effd2ab3af4b4ba802920f3e1720a83e6,Integral Human Pose Regression,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 9947687ffe0bd2d6cd4fe717e534cfcb59302a4e,Data-driven photographic style using local transfer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 998cdde7c83a50f0abac69c7c3d20f3729a65d00,Redundancy effects in the perception and memory of visual objects,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+99b7ff97ad54308b816e47d9bbf6704b787b8f52,Causal flow,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 999cdddf1ca23e4a72028d2a88537cf4a7aa9396,Hyperprior Induced Unsupervised Disentanglement of Latent Representations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 995dd15671993b2165860c54bf5acbbe421c5f45,Learning a Context Aware Dictionary for Sparse Representation,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

+99d3bc6d62675297693e5e57ff0770e7017f9637,Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9941a52ef4db2eb338eec061a950af6a95f82510,Encoding Neuroanatomical Information using Weighted Spherical Harmonic Representation,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 994b52bf884c71a28b4f5be4eda6baaacad1beee,Categorizing Big Video Data on the Web: Challenges and Opportunities,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+994b52bf884c71a28b4f5be4eda6baaacad1beee,Categorizing Big Video Data on the Web: Challenges and Opportunities,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 995d55fdf5b6fe7fb630c93a424700d4bc566104,The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 9901f473aeea177a55e58bac8fd4f1b086e575a4,Human and sheep facial landmarks localisation by triplet interpolated features,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 99c69fe118efbc47efc91ceaa3b2e711405eef20,Scale-Adaptive Convolutions for Scene Parsing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+99c69fe118efbc47efc91ceaa3b2e711405eef20,Scale-Adaptive Convolutions for Scene Parsing,China,China,China,35.86166000,104.19539700,edu,

 99c69fe118efbc47efc91ceaa3b2e711405eef20,Scale-Adaptive Convolutions for Scene Parsing,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66,Human Pose Estimation Using Global and Local Normalization,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66,Human Pose Estimation Using Global and Local Normalization,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66,Human Pose Estimation Using Global and Local Normalization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 99029377dac51a3f60063f61cdc5471866c348be,Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+99cb716cd7687db8ef3d0403c85b1ab90869800f,FACE RECOGNITION UNDER POSE AND EXPRESIVITY VARIATION USING THERMAL AND VISIBLE IMAGES,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

 99b41df501f25f4aee9c1f94a75510b2fbcc6bed,Title Impaired social brain network for processing dynamic facialexpressions in autism spectrum disorders,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

+99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,China,China,China,35.86166000,104.19539700,edu,

+99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,China,China,China,35.86166000,104.19539700,edu,

+99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu,

 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu,

 99facca6fc50cc30f13b7b6dd49ace24bc94f702,VIPLFaceNet: an open source deep face recognition SDK,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 99facca6fc50cc30f13b7b6dd49ace24bc94f702,VIPLFaceNet: an open source deep face recognition SDK,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,India,India,India,20.59368400,78.96288000,edu,

+99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,India,India,India,20.59368400,78.96288000,edu,

 999289b0ef76c4c6daa16a4f42df056bf3d68377,The Role of Color and Contrast in Facial Age Estimation,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,

 999289b0ef76c4c6daa16a4f42df056bf3d68377,The Role of Color and Contrast in Facial Age Estimation,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 99e9ae76ee720314a90968be5f889d233c67054c,A Window to Your Smartphone: Exploring Interaction and Communication in Immersive VR with Augmented Virtuality,Memorial University of Newfoundland,Memorial University of Newfoundland,"Memorial University of Newfoundland, Overpass, St. John's, Newfoundland and Labrador, A1B 5S7, Canada",47.57272510,-52.73305444,edu,

@@ -802,6 +989,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 99eddbd03e39c86260e282c7a0993617710d5cb1,An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations,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,

 99eddbd03e39c86260e282c7a0993617710d5cb1,An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 99783c792947f17e41c94ddaac31766277809049,Switching Convolutional Neural Network for Crowd Counting,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+99783c792947f17e41c94ddaac31766277809049,Switching Convolutional Neural Network for Crowd Counting,India,India,India,20.59368400,78.96288000,edu,

 9902acd6ce7662c93ee2bd41c6c11a6b99ad8754,Robust Multimodal Biometric System using Markov Chain based Rank Level Fusion,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 9952d6630a2fcadf34e356de07ebd2254651c95e,Dual-Feature Bayesian MAP Classification: Exploiting Temporal Information for Video-Based Face Recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 9952d6630a2fcadf34e356de07ebd2254651c95e,Dual-Feature Bayesian MAP Classification: Exploiting Temporal Information for Video-Based Face Recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

@@ -810,6 +998,8 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 29db046dd1f8100b279c3f5f5c5ef19bdbf5af9a,Recent Progress of Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 290a96c9aa653eb6dd64d5b0fa5bae7bf208ae14,Joint Pose and Expression Modeling for Facial Expression Recognition,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu,

 29954bf080407f23c8ac140202bd2ae5a48fdede,Abnormal Event Detection Based on Saliency Information,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+29954bf080407f23c8ac140202bd2ae5a48fdede,Abnormal Event Detection Based on Saliency Information,China,China,China,35.86166000,104.19539700,edu,

+29954bf080407f23c8ac140202bd2ae5a48fdede,Abnormal Event Detection Based on Saliency Information,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 29fa7b334543b6b6a4927ea2c7ae4c6fa8f6a7c4,Latent Boosting for Action Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 29fa7b334543b6b6a4927ea2c7ae4c6fa8f6a7c4,Latent Boosting for Action Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 2912c3ea67678a1052d7d5cbe734a6ad90fc360e,Facial Feature Detection using a Virtual Structuring Element,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,

@@ -820,21 +1010,25 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 299b65d5d3914dad9aae2f936165dcebcf78db88,Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

 299b65d5d3914dad9aae2f936165dcebcf78db88,Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

 2911e7f0fb6803851b0eddf8067a6fc06e8eadd6,Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

-291265db88023e92bb8c8e6390438e5da148e8f5,MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+291265db88023e92bb8c8e6390438e5da148e8f5,MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 29a8492f5aaa212ad81c2e903c73937e7ced73ee,High-precision Immune Computation for Secure Face Recognition,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu,

 29a8492f5aaa212ad81c2e903c73937e7ced73ee,High-precision Immune Computation for Secure Face Recognition,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu,

 29a8492f5aaa212ad81c2e903c73937e7ced73ee,High-precision Immune Computation for Secure Face Recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 29b96e41948e35a5bc4a9e7ae978808bc5b0c841,Automatic collection of Web video shots corresponding to specific actions using Web images,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

+29b96e41948e35a5bc4a9e7ae978808bc5b0c841,Automatic collection of Web video shots corresponding to specific actions using Web images,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 29f4ac49fbd6ddc82b1bb697820100f50fa98ab6,The benefits and challenges of collecting richer object annotations,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 297d3df0cf84d24f7efea44f87c090c7d9be4bed,Appearance-Based 3-D Face Recognition from Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 297d3df0cf84d24f7efea44f87c090c7d9be4bed,Appearance-Based 3-D Face Recognition from Video,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,

 29445acb03961fb27ac9221875c0a25171502144,An Efficient Face Tracker Using Active Shape Model,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

 29445acb03961fb27ac9221875c0a25171502144,An Efficient Face Tracker Using Active Shape Model,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

+299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0,Face recognition by independent component analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 29921072d8628544114f68bdf84deaf20a8c8f91,Multi-task Curriculum Transfer Deep Learning of Clothing Attributes,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 29639a071f67a6867000b53bcb97b37b3d090319,Gait Identification Considering Body Tilt by Walking Direction Changes,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 2983efadb1f2980ab5ef20175f488f77b6f059d7,◆ 4 ◆ EMOTION IN HUMAN – COMPUTER INTERACTION,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 2976605dc3b73377696537291d45f09f1ab1fbf5,Cross-Stitch Networks for Multi-task Learning,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,

 2969f822b118637af29d8a3a0811ede2751897b5,Cascaded Shape Space Pruning for Robust Facial Landmark Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 293909c2b4c18982fa0aafe714081ecfbd23b580,Pedestrian monitoring techniques for crowd-fl ow prediction,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

@@ -843,6 +1037,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 293909c2b4c18982fa0aafe714081ecfbd23b580,Pedestrian monitoring techniques for crowd-fl ow prediction,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 29a606ba5b9ae9bc16d05a832d4e54d769c63dae,Activation of mGluR2/3 underlies the effects of N-acetylcystein on amygdala-associated autism-like phenotypes in a valproate-induced rat model of autism,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

 29a606ba5b9ae9bc16d05a832d4e54d769c63dae,Activation of mGluR2/3 underlies the effects of N-acetylcystein on amygdala-associated autism-like phenotypes in a valproate-induced rat model of autism,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

+29b1a44d1e1ffa05c2bf7f4be931c5045f427718,ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof,India,India,India,20.59368400,78.96288000,edu,

 29631ca6cff21c9199c70bcdbbcd5f812d331a96,Error Rates in Users of Automatic Face Recognition Software,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 29631ca6cff21c9199c70bcdbbcd5f812d331a96,Error Rates in Users of Automatic Face Recognition Software,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 290941887c37547462285152ff82796ad71dd757,Snuba: Automating Weak Supervision to Label Training Data,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -863,9 +1058,11 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 29088f1c9cda9c4a7b75d7aa365aecea003b7a28,Spontaneous facial expression in unscripted social interactions can be measured automatically.,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,

 29088f1c9cda9c4a7b75d7aa365aecea003b7a28,Spontaneous facial expression in unscripted social interactions can be measured automatically.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 29088f1c9cda9c4a7b75d7aa365aecea003b7a28,Spontaneous facial expression in unscripted social interactions can be measured automatically.,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,

+29c340c83b3bbef9c43b0c50b4d571d5ed037cbd,Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 29c340c83b3bbef9c43b0c50b4d571d5ed037cbd,Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment,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,

 29cbbed59a47566851deb63602a34c08e9ad3645,Improving Multi-Person Pose Estimation using Label Correction,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu,

 29c417764fa56bfe7ad64d02ae686a61f15e90b9,The heart-break of social rejection versus the brain wave of social acceptance.,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,

+29619496c688f8400a90fef79b4fa756967ed0f7,Head Gesture Recognition: A Literature Review,India,India,India,20.59368400,78.96288000,edu,

 2981465359a1acb7d1a2881a63c520b5b99aa6a2,PATTERN RECOGNITION WITH LOCAL INVARIANT FEATURES,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 291e6f2a365913100de8bd1071810b8155095f08,Efficient and Exact MAP-MRF Inference using Branch and Bound,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 29732d196d199acdb9d5122207b4613bb3aedf8e,Neural correlates of affective context in facial expression analysis: A simultaneous EEG-fNIRS study,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu,

@@ -876,9 +1073,12 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 29fc4de6b680733e9447240b42db13d5832e408f,Recognition of Facial Expressions Based on Tracking and Selection of Discriminative Geometric Features,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu,

 29fc4de6b680733e9447240b42db13d5832e408f,Recognition of Facial Expressions Based on Tracking and Selection of Discriminative Geometric Features,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 29fc4de6b680733e9447240b42db13d5832e408f,Recognition of Facial Expressions Based on Tracking and Selection of Discriminative Geometric Features,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+29c23c7d5d70aef54168ba20dccdd14f570901a3,Duplicate Discovery on 2 Billion Internet Images,China,China,China,35.86166000,104.19539700,edu,

 2914e8c62f0432f598251fae060447f98141e935,ACTIVITY ANALYSIS OF SPECTATOR PERFORMER VIDEOS USING MOTION TRAJECTORIES,University of Nebraska - Lincoln,University of Nebraska - Lincoln,"Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA",40.81747230,-96.70444680,edu,

 2917808d9018386af42e249ba4fb94bafcda54e5,Compact CNN for indexing egocentric videos,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

+2917808d9018386af42e249ba4fb94bafcda54e5,Compact CNN for indexing egocentric videos,India,India,India,20.59368400,78.96288000,edu,

 2902f62457fdf7e8e8ee77a9155474107a2f423e,Non-rigid 3D Shape Registration using an Adaptive Template,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea,Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation,India,India,India,20.59368400,78.96288000,edu,

 29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea,Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea,Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 29ed326a7da1678880db02e5d0e7cb7376dffb98,A square-root sampling approach to fast histogram-based search,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -888,8 +1088,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 291e5377df2eec4835b5c6889896941831a11c69,Recovering 6D Object Pose: Multi-modal Analyses on Challenges,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,

 291e5377df2eec4835b5c6889896941831a11c69,Recovering 6D Object Pose: Multi-modal Analyses on Challenges,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,

 291f527598c589fb0519f890f1beb2749082ddfd,Seeing People in Social Context: Recognizing People and Social Relationships,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

-29b737cdb317e47e7cc219b438ea38e8fdceb45c,Approximate Distribution Matching for Sequence-to-Sequence Learning,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+29b737cdb317e47e7cc219b438ea38e8fdceb45c,Approximate Distribution Matching for Sequence-to-Sequence Learning,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

+294bd7eb5dc24052237669cdd7b4675144e22306,Automatic Face Annotation,India,India,India,20.59368400,78.96288000,edu,

 2954deae38c40a244f6a9c0714987d786c69db7c,Human detection and pose estimation for motion picture logging and visualisation,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+299ca90452aa8a7dd517de3ff3c9bf224d5100c7,Dynamic Scene Classification Using Redundant Spatial Scenelets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 297c27c74e5cc731b5bd1ad95726b4192e3b902d,Face Super-Resolution Guided by Facial Component Heatmaps,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 29b3be93a60bbc5fe842826030853f99753b08bd,Hierarchical Scene Annotation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 2953fa360c79f2c77bbc53c8154f49136333bfa6,Compact Tensor Pooling for Visual Question Answering,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

@@ -897,6 +1099,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 298f1bffed274e890e0a09b38cfca42020fd1462,Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles,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,

 298f1bffed274e890e0a09b38cfca42020fd1462,Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 298c2d1ff57d2164792a68f0d93ca2c257dad288,Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems : Ways of Improvement,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

+298c2d1ff57d2164792a68f0d93ca2c257dad288,Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems : Ways of Improvement,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+29bcf87f48a5b4e2f06f20761cbc376d56df5f13,Face Recognition using PCA and SVM with Surf Technique,India,India,India,20.59368400,78.96288000,edu,

+29bcf87f48a5b4e2f06f20761cbc376d56df5f13,Face Recognition using PCA and SVM with Surf Technique,India,India,India,20.59368400,78.96288000,edu,

 291dba3baa7d42f1e30b26a714e525cb73c05af1,Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training,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,

 29479bb4fe8c04695e6f5ae59901d15f8da6124b,Multiple instance learning for labeling faces in broadcasting news video,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,

 29479bb4fe8c04695e6f5ae59901d15f8da6124b,Multiple instance learning for labeling faces in broadcasting news video,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,

@@ -907,11 +1112,14 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 297c4503a18a959e3a06613d5e7e026ba351b9bf,Neurolaw: Differential brain activity for black and white faces predicts damage awards in hypothetical employment discrimination cases.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 297c4503a18a959e3a06613d5e7e026ba351b9bf,Neurolaw: Differential brain activity for black and white faces predicts damage awards in hypothetical employment discrimination cases.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 2970841968246454647be45f0a8ec7fd4a98ab31,"A Fast Scheme for Detecting , Localizing and Grouping Similarly Looking Faces in Random Images",Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu,

+2970841968246454647be45f0a8ec7fd4a98ab31,"A Fast Scheme for Detecting , Localizing and Grouping Similarly Looking Faces in Random Images",UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

+2970841968246454647be45f0a8ec7fd4a98ab31,"A Fast Scheme for Detecting , Localizing and Grouping Similarly Looking Faces in Random Images",a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 29e5eb3bff4c198072048bf76c7b62694110bada,CS 231 N Project : Facial Expression Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+9b95153e4d3972d59fabef0fddce9b7207836b1b,Nonlinear Discrete Hashing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9b0489f2d5739213ef8c3e2e18739c4353c3a3b7,Visual Data Augmentation through Learning,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,

 9b0489f2d5739213ef8c3e2e18739c4353c3a3b7,Visual Data Augmentation through Learning,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 9b2a272d4526b3eeeda0beb0d399074d5380a2b3,Learning to Align Images Using Weak Geometric Supervision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

-9b2a272d4526b3eeeda0beb0d399074d5380a2b3,Learning to Align Images Using Weak Geometric Supervision,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+9b2a272d4526b3eeeda0beb0d399074d5380a2b3,Learning to Align Images Using Weak Geometric Supervision,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 9b612900baf8a9f9fbbbded8de37dca9157942a1,Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensics,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,

 9bd9050c53d90dfa86cb22501812afe6fc897406,Fine-Grained and Layered Object Recognition,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu,

 9bd9050c53d90dfa86cb22501812afe6fc897406,Fine-Grained and Layered Object Recognition,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

@@ -920,23 +1128,29 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 9b928c0c7f5e47b4480cb9bfdf3d5b7a29dfd493,Close the loop: Joint blind image restoration and recognition with sparse representation prior,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 9b928c0c7f5e47b4480cb9bfdf3d5b7a29dfd493,Close the loop: Joint blind image restoration and recognition with sparse representation prior,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 9b1bcef8bfef0fb5eb5ea9af0b699aa0534fceca,Position-Squeeze and Excitation Block for Facial Attribute Analysis,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+9b1bcef8bfef0fb5eb5ea9af0b699aa0534fceca,Position-Squeeze and Excitation Block for Facial Attribute Analysis,China,China,China,35.86166000,104.19539700,edu,

 9b9b6d34deebb534de66017381be7578e13b761d,"Essays on Information , Technology and Information Worker Productivity",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 9bd35145c48ce172b80da80130ba310811a44051,Face Detection with End-to-End Integration of a ConvNet and a 3D Model,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 9bd35145c48ce172b80da80130ba310811a44051,Face Detection with End-to-End Integration of a ConvNet and a 3D Model,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

 9b9f3ec91e8ba185b0c7fd7545b0721e0cba9ba7,Regularity Guaranteed Human Pose Correction,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+9b693c71cc89e2d2f41b6ab5cc0f62ca59c6d128,Recognizing Unseen Attribute-Object Pair with Generative Model,China,China,China,35.86166000,104.19539700,edu,

 9b246c88a0435fd9f6d10dc88f47a1944dd8f89e,PiCoDes: Learning a Compact Code for Novel-Category Recognition,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

-9b246c88a0435fd9f6d10dc88f47a1944dd8f89e,PiCoDes: Learning a Compact Code for Novel-Category Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+9b246c88a0435fd9f6d10dc88f47a1944dd8f89e,PiCoDes: Learning a Compact Code for Novel-Category Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 9b2607d4a8f7252bf13628afa1b5e5cb55ca65a6,Seeing the face through the eyes: a developmental perspective on face expertise.,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6,A Hybrid Approach for Secure Biometric Authentication Using Fusion of Iris and Ear,India,India,India,20.59368400,78.96288000,edu,

 9bd7f95a4c752a44e96d2205ceb6fcefe9232c8b,Fine-grained Video Captioning for Sports Narrative,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 9bda68ea52bddf5365e3230761c95424ff1ddec5,SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 9b2c359c36c38c289c5bacaeb5b1dd06b464f301,Dense Face Alignment,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 9b75cc65a03e5d817c89d71b24404e791f79eb6a,TextureGAN: Controlling Deep Image Synthesis with Texture Patches,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 9bfda2f5144867d5712a8fcbea9dd5fa69d3312b,Image Super-Resolution Using VDSR-ResNeXt and SRCGAN,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+9b666e20f570387214926eee542965f3fbe3cfce,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+9b666e20f570387214926eee542965f3fbe3cfce,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9bfe2732a905cb0aab370d1146a29b9d4129321d,SOCIAL JUDGMENTS ARE INFLUENCED BY BOTH FACIAL EXPRESSION AND DIRECTION OF EYE GAZE,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 9bfe2732a905cb0aab370d1146a29b9d4129321d,SOCIAL JUDGMENTS ARE INFLUENCED BY BOTH FACIAL EXPRESSION AND DIRECTION OF EYE GAZE,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

 9be696618cfcea90879747a8512f21b10cceac48,Structural Consistency and Controllability for Diverse Colorization,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 9ba3e2b8b678910c4fdf379c278dbc007c19aa38,Face Verification via ECOC,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 9babe1957e56fadebb32a64338d54fce794c7094,An Enhanced Sparse Representation Strategy for Signal Classification,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

+9b4e90866c1f096a57383fb7320ac9d516a2f88d,Towards lightweight convolutional neural networks for object detection,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 9b48372c7adb3780873df7c6d4134f93c2b0aebb,Robust multilinear principal component analysis,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 9bac3639b2671dcdbdbbd36e8e9022d7334a3796,VSE++: Improving Visual-Semantic Embeddings with Hard Negatives,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,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,

@@ -944,10 +1158,13 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,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,

 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,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,

 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,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,

-9bbc952adb3e3c6091d45d800e806d3373a52bac,Learning Visual Classifiers using Human-centric Annotations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+9bbc952adb3e3c6091d45d800e806d3373a52bac,Learning Visual Classifiers using Human-centric Annotations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 9be653e1bc15ef487d7f93aad02f3c9552f3ee4a,Computer Vision for Head Pose Estimation: Review of a Competition,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 9b7878eb0681d107a3892c2a166beeb6c0e2d36f,A vision-grounded dataset for predicting typical locations for verbs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+9b7878eb0681d107a3892c2a166beeb6c0e2d36f,A vision-grounded dataset for predicting typical locations for verbs,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu,

 9b8d73e83c111268745311e03f0c0f7f6c92c9f0,Incremental Convolutional Neural Network Training,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+9b8d73e83c111268745311e03f0c0f7f6c92c9f0,Incremental Convolutional Neural Network Training,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+9b8d73e83c111268745311e03f0c0f7f6c92c9f0,Incremental Convolutional Neural Network Training,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 9bd36eff633c52c6f6e8ead009367f6b6c43f16f,"Image tag refinement towards low-rank, content-tag prior and error sparsity",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 9bd36eff633c52c6f6e8ead009367f6b6c43f16f,"Image tag refinement towards low-rank, content-tag prior and error sparsity","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 9bd36eff633c52c6f6e8ead009367f6b6c43f16f,"Image tag refinement towards low-rank, content-tag prior and error sparsity",Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

@@ -957,20 +1174,28 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 9be94fa0330dd493f127d51e4ef7f9fd64613cfc,Effects of pose and image resolution on automatic face recognition,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu,

 9be94fa0330dd493f127d51e4ef7f9fd64613cfc,Effects of pose and image resolution on automatic face recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 9b93406f3678cf0f16451140ea18be04784faeee,A Bayesian Approach to Alignment-Based Image Hallucination,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+13f07d51c073964d11f9af6463fe3ffe5475c393,"Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,India,India,India,20.59368400,78.96288000,edu,

+130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,India,India,India,20.59368400,78.96288000,edu,

 133f1f2679892d408420d8092283539010723359,What Makes for Effective Detection Proposals?,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

-131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu,

 136112d29f8abfd8804f9b9c0e15d00f7c013c6c,Space-time tree ensemble for action recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+136112d29f8abfd8804f9b9c0e15d00f7c013c6c,Space-time tree ensemble for action recognition,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 136112d29f8abfd8804f9b9c0e15d00f7c013c6c,Space-time tree ensemble for action recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 134aad8153ab78345b2581efac2fe175a3084154,Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 13d6dde8767ac7176dcd6d4367974292bc627863,Multi-attribute Queries: To Merge or Not to Merge?,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 13d6dde8767ac7176dcd6d4367974292bc627863,Multi-attribute Queries: To Merge or Not to Merge?,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

 13d6dde8767ac7176dcd6d4367974292bc627863,Multi-attribute Queries: To Merge or Not to Merge?,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 1343f43e231d793a0bb45eb13ae2560e99aff6e1,Measuring Image Distances via Embedding in a Semantic Manifold,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

+134db6ca13f808a848321d3998e4fe4cdc52fbc2,Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 13ac93950986fc023d45e9647197d80b86fa4867,Subspace clustering applied to face images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 131125a5aadb48ec3eceb404cedbff713c401feb,Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 131125a5aadb48ec3eceb404cedbff713c401feb,Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 133b0d480a8fac7c7e0c7511b5bdb0dc7d387d42,This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 133b0d480a8fac7c7e0c7511b5bdb0dc7d387d42,This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 1337acf12805a24968c0518e695ca94f103e630f,A Topic Model Approach to Represent and Classify American Football Plays,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -979,6 +1204,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 133477ccff666305d183cf1c35dcee40d0f2955a,Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 133477ccff666305d183cf1c35dcee40d0f2955a,Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

 13c0c418df650ad94ac368c81e2133ec9e166381,Mid-level deep pattern mining,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+13c0c418df650ad94ac368c81e2133ec9e166381,Mid-level deep pattern mining,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 139302f87b4a23dad87b2f3a2187593f18bcd68c,Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.,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,

 139302f87b4a23dad87b2f3a2187593f18bcd68c,Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.,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,

 139302f87b4a23dad87b2f3a2187593f18bcd68c,Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.,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,

@@ -992,9 +1218,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 1389ba6c3ff34cdf452ede130c738f37dca7e8cb,A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 1328c0a8a357b303f6e853581360370ef2975612,Obtaining MPEG-4 compliant animatable 3D face models by using TPS method,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 13b1b18b9cfa6c8c44addb9a81fe10b0e89db32a,A Hierarchical Deep Temporal Model for Group Activity Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+133f01aec1534604d184d56de866a4bd531dac87,Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 133b982a3c8f5ea44242f44fbd47f5e684664fc4,A Novel Stereo based Obstacle Avoidance System for Unmanned Aerial Vehicles,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 133b982a3c8f5ea44242f44fbd47f5e684664fc4,A Novel Stereo based Obstacle Avoidance System for Unmanned Aerial Vehicles,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

-131e9edbe4b0322a467b7e8c35f6b0c0ca750e21,Contextual Action Recognition with R*CNN,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+131e9edbe4b0322a467b7e8c35f6b0c0ca750e21,Contextual Action Recognition with R*CNN,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 132d6e171b811da9af5f772bd83c78d744214429,OBJECT SEGMENTATION BASED ON COMMON INFORMATION BETWEEN IMAGES,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu,

 135c957f6a80f250507c7707479e584c288f430f,Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 13791aa7c1047724c4046eee94e66a506b211eb9,Real-time Gender Classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -1005,34 +1232,44 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 1319dbeaa28f8a9b19e03a7631e96393e08a07fa,Gender Recognition Using Fusion of Local and Global Facial Features,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

 13af83892724343cfdf88debbf00ea1343a10db1,Impact of involuntary subject movement on 3D face scans,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 13af83892724343cfdf88debbf00ea1343a10db1,Impact of involuntary subject movement on 3D face scans,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

-131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 13a94d8f5eafbbf411c9a70e1b30937a532664ef,Non-rigid registration of 3D surfaces by deformable 2D triangular meshes,Bogazici University,Bogazici University,"Boğaziçi Üniversitesi Kuzey Yerleşkesi, Okulaltı 1. Sokak, Rumelihisarı, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34467, Türkiye",41.08688410,29.04413167,edu,

 131e4c5bc16925ef105852cff8c09c1b294c5bea,FAST OBJECTS DETECTION BY VARIANCE-MAXIMIZATION LEARNING OF LIFTING WAVELET FILTERS,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 13d591220f9fdb22d81c2438a008c80843b61fd4,Boosting Multi-gabor Subspaces for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 13d591220f9fdb22d81c2438a008c80843b61fd4,Boosting Multi-gabor Subspaces for Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 139ee1b1d98e7ac9d659a5d1bbe8c75588539b29,Identification of EFHC2 as a quantitative trait locus for fear recognition in Turner syndrome.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+134994ada9a22f82b81640948afde2252e5ad5f5,Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos,China,China,China,35.86166000,104.19539700,edu,

+134994ada9a22f82b81640948afde2252e5ad5f5,Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos,China,China,China,35.86166000,104.19539700,edu,

 134994ada9a22f82b81640948afde2252e5ad5f5,Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

+137239cd29634465f35ce261718efece57cfc617,Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+137239cd29634465f35ce261718efece57cfc617,Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 137239cd29634465f35ce261718efece57cfc617,Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 134f1cee8408cca648d8b4ca44b38b0a7023af71,Partially Shared MultiTask Convolutional Neural Network with Local Constraint for Face Attribute Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 1320c42b348c5342c2ad6a60e3ded3ff0bd56f7f,"A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier",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,

 1320c42b348c5342c2ad6a60e3ded3ff0bd56f7f,"A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier",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,

+13604bbdb6f04a71dea4bd093794e46730b0a488,Robust Loss Functions under Label Noise for Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 13604bbdb6f04a71dea4bd093794e46730b0a488,Robust Loss Functions under Label Noise for Deep Neural Networks,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 13604bbdb6f04a71dea4bd093794e46730b0a488,Robust Loss Functions under Label Noise for Deep Neural Networks,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 13719bbb4bb8bbe0cbcdad009243a926d93be433,Deep LDA-Pruned Nets for Efficient Facial Gender Classification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 13c250fb740cb5616aeb474869db6ab11560e2a6,Learning Language–Vision Correspondences,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 1329206dbdb0a2b9e23102e1340c17bd2b2adcf5,Part-Based R-CNNs for Fine-Grained Category Detection,"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,

 137aa2f891d474fce1e7a1d1e9b3aefe21e22b34,Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu,

+132cc530230cb869318b0a9d81a717077895db38,Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks,India,India,India,20.59368400,78.96288000,edu,

+132cc530230cb869318b0a9d81a717077895db38,Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks,India,India,India,20.59368400,78.96288000,edu,

 1395f0561db13cad21a519e18be111cbe1e6d818,Semantic segmentation using regions and parts,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 13f74a94d492919a1ff13af16e2df2ab1bedf04a,Selecting the Best Performing Rotation Invariant Patterns in Local Binary/Ternary Patterns,University of Bologna,Università di Bologna,"Via Zamboni, 33, 40126 Bologna BO, Italy",44.49623180,11.35415700,edu,

 1362b43a76412ed9ac67fd182a72b9457cae5aed,Delving into egocentric actions,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+138cef9080f213f1ffc7900ade7c0e85ee8e7bf2,Bloodhound : Kinship Through Imaging,India,India,India,20.59368400,78.96288000,edu,

 13b7b973458e12413ccf3df7174bcc56d1a9b070,LDD : Learned Detector and Descriptor of Points for Visual Odometry,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 132045bbf158060cbbb20f86f212ce89c4358eda,Role of Color in Face Recognition A Comparison Study Using Traditional and New Face Recognition Algorithms,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 13be4f13dac6c9a93f969f823c4b8c88f607a8c4,Family in the Wild (FIW): A Large-scale Kinship Recognition Database,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 13a39916d0459879703ce20f960726c5fb7269f1,"ExpNet: Landmark-Free, Deep, 3D Facial Expressions",Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

 60c3b9a6622e359a90c384bf81fc0d46caacf469,Multimodal Visual Concept Learning with Weakly Supervised Techniques,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

 60bd27eed0ea7294609566bae2675f544c6572a8,Joint Dictionaries for Zero-Shot Learning,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+60cc2e8abc20c145727e7089c55bdba5722436d0,Higher Order Matching for Consistent Multiple Target Tracking,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu,

 60aa6b163fd8bc16965807fdd47634bedb04989d,Autonomous exploration using rapid perception of low-resolution image information,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

+6047e9af00dcffbd2effbfa600735eb111f7de65,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6043006467fb3fd1e9783928d8040ee1f1db1f3a,Face recognition with learning-based descriptor,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 6043006467fb3fd1e9783928d8040ee1f1db1f3a,Face recognition with learning-based descriptor,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 6043006467fb3fd1e9783928d8040ee1f1db1f3a,Face recognition with learning-based descriptor,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

@@ -1040,8 +1277,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 60c699b9ec71f7dcbc06fa4fd98eeb08e915eb09,Long-term video interpolation with bidirectional predictive network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 601f184fe6c5c382c0d56a423d640ad70ad3c88e,Identity but not expression memory for unfamiliar faces is affected by ageing.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 608dede56161fd5f76bcf9228b4dd8c639d65b02,SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+608dede56161fd5f76bcf9228b4dd8c639d65b02,SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 608305c25aae19dd346153dadedac851f0b7f9ff,A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 60496b400e70acfbbf5f2f35b4a49de2a90701b5,Avoiding Boosting Overfitting by Removing Confusing Samples,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu,

+60496b400e70acfbbf5f2f35b4a49de2a90701b5,Avoiding Boosting Overfitting by Removing Confusing Samples,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 606e920681b6bd2910a1cccda2403ba7e361a3a9,Feedback Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 606ee88d9600b332ffae5cd7992a817f9aa996af,Learning Deep Representations with Probabilistic Knowledge Transfer,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 60d5e6495fe87a09ceb7c39db8923f9957809a81,Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

@@ -1057,19 +1296,24 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 60d4cef56efd2f5452362d4d9ac1ae05afa970d1,Learning End-to-end Video Classification with Rank-Pooling,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 60737db62fb5fab742371709485e4b2ddf64b7b2,Crowdsourced Selection on Multi-Attribute Data,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 6008213e4270e88cb414459de759c961469b92dd,"Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning",University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

+601834a4150e9af028df90535ab61d812c45082c,A short review and primer on using video for psychophysiological observations in human-computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 600f164c81dbaa0327e7bd659fd9eb7f511f9e9a,A benchmark study of large-scale unconstrained face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+600f164c81dbaa0327e7bd659fd9eb7f511f9e9a,A benchmark study of large-scale unconstrained face recognition,China,China,China,35.86166000,104.19539700,edu,

 60a20d5023f2bcc241eb9e187b4ddece695c2b9b,Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 601c9ac5859021c5c1321adeb38b177ebad346f0,Salient Color Names for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 601c9ac5859021c5c1321adeb38b177ebad346f0,Salient Color Names for Person Re-identification,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 603e10c9dbadd51ad0938e32b730221c020d677d,It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 603bfd8e1230816526e213855c5de172443f9ee1,CAKE: a Compact and Accurate K-dimensional representation of Emotion,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

+607850dc8e640c25f027f2eee202dee5605cf27c,A Survey on Face Detection and Recognition Techniques in Different Application Domain,India,India,India,20.59368400,78.96288000,edu,

 60593c176ba39e8cb63ba6a7bf936553984bb67c,From Categories to Individuals in Real Time -- A Unified Boosting Approach,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+60ec284f67c1012419e5dea508d1bae4bc144bb2,Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor,India,India,India,20.59368400,78.96288000,edu,

 601e0569028924cca9b5f1afbca6f52aa7212c39,Single View Stereo Matching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 601e0569028924cca9b5f1afbca6f52aa7212c39,Single View Stereo Matching,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 603dee8661aa9bf0d7af6c61fe5fa2e85227f166,Customizing First Person Image Through Desired Actions,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 603dee8661aa9bf0d7af6c61fe5fa2e85227f166,Customizing First Person Image Through Desired Actions,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 603dee8661aa9bf0d7af6c61fe5fa2e85227f166,Customizing First Person Image Through Desired Actions,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 60542b1a857024c79db8b5b03db6e79f74ec8f9f,Learning to Detect Human-Object Interactions,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+60e2b9b2e0db3089237d0208f57b22a3aac932c1,Frankenstein: Learning Deep Face Representations Using Small Data,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 60eea6b85ba791ab85b198cfe7473adec29bcfd2,Video Question Answering via Attribute-Augmented Attention Network Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 603e4f77ca4b16c0e66cbd1759abbeb059abef41,Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 603e4f77ca4b16c0e66cbd1759abbeb059abef41,Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks,China University of Geosciences,"China University of Geosciences, Wuhan, China","388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.52715100,114.40076200,edu,

@@ -1081,10 +1325,13 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 6069b4bc1a21341b77b49f01341c238c770d52e0,Comparing Kernel-based Learning Methods for Face Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 6055ece6d5efaa219db45d8e9f8fbc9e1c9feb1f,Closing the AI Knowledge Gap,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 6090ebb9464986e458f8c37d2e08b042c88bf651,Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

+60f7de07de4d090990120483bd5407369b29a120,ℓ₁-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+60b66ec51ddadd132453f700d1781e8e7a8f78c8,Self-Validated Labeling of Markov Random Fields for Image Segmentation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 60c24e44fce158c217d25c1bae9f880a8bd19fc3,Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 6044b30751c19b3231782fb0475c9ca438940690,Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu,

 778eefd9f0f6189456fc25b7cdd2c3f4403a37a8,Audiovisual diarization of people in video content,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 77a53d4141a8081657ce08b13dc3328ac4a4e689,You'll never walk alone: Modeling social behavior for multi-target tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+77a53d4141a8081657ce08b13dc3328ac4a4e689,You'll never walk alone: Modeling social behavior for multi-target tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 779eb6a059990b9cee55e0add7bc34aed87b3733,3D Human Pose Estimation in the Wild by Adversarial Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 779eb6a059990b9cee55e0add7bc34aed87b3733,3D Human Pose Estimation in the Wild by Adversarial Learning,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 779eb6a059990b9cee55e0add7bc34aed87b3733,3D Human Pose Estimation in the Wild by Adversarial Learning,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,

@@ -1093,6 +1340,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 770e16c18589ebabc9596a54cd5eeab8cb8fe62e,Deterministic Stretchy Regression,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 776362314f1479f5319aaf989624ac604ba42c65,Attribute Learning in Large-Scale Datasets,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 774b649c75078e10759b3b6c8ea581e68fc45a40,Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

+7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

+7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

+7754b708d6258fb8279aa5667ce805e9f925dfd0,Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 773ecf8cfa7e544ac48cf146b71df19146e1400e,Improving Shape Deformation in Unsupervised Image-to-Image Translation,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 773ecf8cfa7e544ac48cf146b71df19146e1400e,Improving Shape Deformation in Unsupervised Image-to-Image Translation,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 779db93204bee4a9540db1e79ceb0b45e5af77e9,Learning actions from the Web,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

@@ -1102,14 +1352,19 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 774ae9c6b2a83c6891b5aeeb169cfd462d45f715,Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 7771807cd05f78a4591f2d0b094ddd3e0bd5339a,Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 77c53ec6ea448db4dad586e002a395c4a47ecf66,2879 Face Recognition Based on Facial Features,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu,

-773a3ef780cefd6f312f52569f2b28384705cfa3,A Simple Hierarchical Pooling Data Structure for Loop Closure,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+773a3ef780cefd6f312f52569f2b28384705cfa3,A Simple Hierarchical Pooling Data Structure for Loop Closure,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 778ce81457383bd5e3fdb11b145ded202ebb4970,Semantic Compositional Networks for Visual Captioning,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 771431afa9b5c936dc970db8d02ae06f49d68638,TabletGaze : Dataset and Algorithm for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu,

+778952cc94d5baa5132ffbe2cf342f80032f5f73,Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns,India,India,India,20.59368400,78.96288000,edu,

 775c51b965e8ff37646a265aab64136b4a620526,Three viewpoints toward exemplar SVM,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 77be85f6c3c465ef8e17d3ec6251794cf4ff5940,Generative Domain-Migration Hashing for Sketch-to-Image Retrieval,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+77be85f6c3c465ef8e17d3ec6251794cf4ff5940,Generative Domain-Migration Hashing for Sketch-to-Image Retrieval,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 771e78ccea7a03dd94bca10a7215dfe3b0f4623b,Supervised geodesic propagation for semantic label transfer,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+772d15efe06d741b4ab7c5524c5384406731a3f7,Random Sampling and Locality Constraint for Fast Face Sketch Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7735f63e5790006cb3d989c8c19910e40200abfc,Multispectral Imaging For Face Recognition Over Varying Illumination,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 778b73effb652ab54c17de194e7ed38f58e5b5be,Measuring and increasing the capacity of Natural HOG Statistics,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,

 77875d6e4d8c7ed3baeb259fd5696e921f59d7ad,Style Aggregated Network for Facial Landmark Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

@@ -1125,9 +1380,12 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 7710232a3d8bb1ef4ab0b5b6042bed19380bf0de,Image description with a goal: Building efficient discriminating expressions for images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 7710232a3d8bb1ef4ab0b5b6042bed19380bf0de,Image description with a goal: Building efficient discriminating expressions for images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 77fbbf0c5729f97fcdbfdc507deee3d388cd4889,Pose-Robust 3D Facial Landmark Estimation from a Single 2D Image,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

+7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7792fbc59f3eafc709323cdb63852c5d3a4b23e9,Pose from Action: Unsupervised Learning of Pose Features based on Motion,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 7792fbc59f3eafc709323cdb63852c5d3a4b23e9,Pose from Action: Unsupervised Learning of Pose Features based on Motion,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,

 77685c77a1fa39890006fe13f43738aac49a2c51,Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

+77685c77a1fa39890006fe13f43738aac49a2c51,Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning,China,China,China,35.86166000,104.19539700,edu,

 77fe6c859a59ac4438794d38d018d1e3c02d36dd,The µ-opioid system promotes visual attention to faces and eyes.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

 77fe6c859a59ac4438794d38d018d1e3c02d36dd,The µ-opioid system promotes visual attention to faces and eyes.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

 77fe6c859a59ac4438794d38d018d1e3c02d36dd,The µ-opioid system promotes visual attention to faces and eyes.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

@@ -1135,11 +1393,16 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 77ee75f96e6498ccc7bb7ebcca2acd7cc4e33229,Sinkhorn AutoEncoders,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,

 77ee75f96e6498ccc7bb7ebcca2acd7cc4e33229,Sinkhorn AutoEncoders,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,

 77cfe37cd98910de3601795131305bea639a435a,Accelerated learning of Generalized Sammon Mappings,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+77cfe37cd98910de3601795131305bea639a435a,Accelerated learning of Generalized Sammon Mappings,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu,

 9a912a17fceb5ec5a0ba230f74db2701d18a2937,Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements,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,

 9a6268d2bc1221ea154097feadea0c58f234d02f,Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 9a6268d2bc1221ea154097feadea0c58f234d02f,Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 9a6268d2bc1221ea154097feadea0c58f234d02f,Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

 9ac43a98fe6fde668afb4fcc115e4ee353a6732d,Survey of Face Detection on Low-Quality Images,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu,

+9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu,

+9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu,

+9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu,

 9abd35b37a49ee1295e8197aac59bde802a934f3,Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 9a9570bfebd3c970879f8d99804e74093d9bb6e9,Living a discrete life in a continuous world: Reference with distributed representations,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 9a9570bfebd3c970879f8d99804e74093d9bb6e9,Living a discrete life in a continuous world: Reference with distributed representations,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

@@ -1148,6 +1411,8 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 9a5c896a527fb6b72508d7a6309c5c375cb2967c,The IJCB 2014 PaSC video face and person recognition competition,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,

 9a5c896a527fb6b72508d7a6309c5c375cb2967c,The IJCB 2014 PaSC video face and person recognition competition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 9a5c896a527fb6b72508d7a6309c5c375cb2967c,The IJCB 2014 PaSC video face and person recognition competition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

+9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Lahore, Pakistan","Lahore, Pakistan","Lahore, Punjab, Pakistan",31.52036960,74.35874730,edu,

+9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Lahore, Pakistan","Lahore, Pakistan","Lahore, Punjab, Pakistan",31.52036960,74.35874730,edu,

 9aff91987c72f1e446532edbcdfe3480ed6875d1,A 2 D + 3 D Rich Data Approach to Scene Understanding by Jianxiong,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 9a0c7a4652c49a177460b5d2fbbe1b2e6535e50a,Automatic and quantitative evaluation of attribute discovery methods,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 9a36bbabea698a9fe0e11e2cf77a013dd7769f42,Predicting Aggressive Tendencies by Visual Attention Bias Associated with Hostile Emotions,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu,

@@ -1175,15 +1440,23 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 9a4c45e5c6e4f616771a7325629d167a38508691,A facial features detector integrating holistic facial information and part-based model,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu,

 9a4c45e5c6e4f616771a7325629d167a38508691,A facial features detector integrating holistic facial information and part-based model,Assiut University,Assiut University,"Assiut University, El Shaheed Ellwaa Hasn Kamel street, الوليدية, أسيوط, مصر",27.18794105,31.17009498,edu,

 9a7c4412169580452078e4a7ede7c45f9047d4ef,"Tracking 3D Moving Objects Based on GPS/IMU Navigation Solution, Laser Scanner Point Cloud and GIS Data",University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

+0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,China,China,China,35.86166000,104.19539700,edu,

+0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,China,China,China,35.86166000,104.19539700,edu,

+0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,China,China,China,35.86166000,104.19539700,edu,

 0cb55c0e73f5eda18849100412499e7dfb492022,From Recognition to Cognition: Visual Commonsense Reasoning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 0cd736baf31dceea1cc39ac72e00b65587f5fb9e,Learning Hash Functions Using Column Generation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+0c1d40de56698e672d3906b96f47ae1361fc3912,Face Recognition Using Kernel PrincipalComponent Analysis,India,India,India,20.59368400,78.96288000,edu,

+0c1d40de56698e672d3906b96f47ae1361fc3912,Face Recognition Using Kernel PrincipalComponent Analysis,India,India,India,20.59368400,78.96288000,edu,

 0cdb49142f742f5edb293eb9261f8243aee36e12,Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 0cdb49142f742f5edb293eb9261f8243aee36e12,Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 0cb5079c39933bd8897fde7edecf156ff57830d7,Runway to Realway: Visual Analysis of Fashion,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 0c2875bb47db3698dbbb3304aca47066978897a4,Recurrent Models for Situation Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+0c1d5801f2b86afa969524dc74708a78450300d9,2 : Conditional Random Fields,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0c1d5801f2b86afa969524dc74708a78450300d9,2 : Conditional Random Fields,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0c79a39a870d9b56dc00d5252d2a1bfeb4c295f1,Face Recognition in Videos by Label Propagation,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

 0cfaee84c8611599a74db98393c6a959d6e10592,"Representations for Cognitive Vision : A Review of Appearance-Based , Spatio-Temporal , and Graph-Based Approaches",Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 0c9f715835bee028a358701cf5a73ecbc3a7e242,Semi-supervised Facial Expression Recognition Algorithm on The Condition of Multi-pose,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu,

+0c9f715835bee028a358701cf5a73ecbc3a7e242,Semi-supervised Facial Expression Recognition Algorithm on The Condition of Multi-pose,China,China,China,35.86166000,104.19539700,edu,

 0cfab1c2839ddacc19bc9af2e821d5c5fd4f28c1,3D Pictorial Structures for Multiple Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 0c85d1b384bb6e2d5d6e4db5461a7101ceed6808,Engineering Privacy in Public: Confounding Face Recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 0c85d1b384bb6e2d5d6e4db5461a7101ceed6808,Engineering Privacy in Public: Confounding Face Recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

@@ -1199,7 +1472,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0c59071ddd33849bd431165bc2d21bbe165a81e0,Person Recognition in Personal Photo Collections,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 0c61d6a33b9d3c190b4adc15658cfe969dedfbdf,Self-supervised Learning of Motion Capture,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,

 0c61d6a33b9d3c190b4adc15658cfe969dedfbdf,Self-supervised Learning of Motion Capture,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

-0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c,Deeply-Fused Nets.,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c,Deeply-Fused Nets.,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c,Deeply-Fused Nets.,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 0c741fa0966ba3ee4fc326e919bf2f9456d0cd74,Facial Age Estimation by Learning from Label Distributions,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu,

 0c741fa0966ba3ee4fc326e919bf2f9456d0cd74,Facial Age Estimation by Learning from Label Distributions,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

@@ -1207,11 +1480,14 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0c663a7224a60488502a937ed3bc2b869260b6c0,Activity Auto-Completion: Predicting Human Activities from Partial Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 0c663a7224a60488502a937ed3bc2b869260b6c0,Activity Auto-Completion: Predicting Human Activities from Partial Videos,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 0c663a7224a60488502a937ed3bc2b869260b6c0,Activity Auto-Completion: Predicting Human Activities from Partial Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,China,China,China,35.86166000,104.19539700,edu,

+0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,China,China,China,35.86166000,104.19539700,edu,

 0c1531a2fa4d6a270b9a09cde86bb0669f5975ff,PROCESSING OF CRAWLED URBAN IMAGERY FOR BUILDING USE CLASSIFICATION,University of Stuttgart,University of Stuttgart,"Pädagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-Württemberg, 71634, Deutschland",48.90953380,9.18318920,edu,

 0cf4105ec11fb5846e5ea1b9dea11f8ba16e391f,Strokelets: A Learned Multi-scale Representation for Scene Text Recognition,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 0cebf440622050f8149d14b803a969917348844b,Learning to Search Efficiently in High Dimensions,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 0c940ccba1bd9380a0ac723d791777fc1746a060,Scheduling for HPC Systems with Process Variation Heterogeneity,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 0ca66283f4fb7dbc682f789fcf6d6732006befd5,Active Dictionary Learning for Image Representation,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

+0c922f8be9f0368c1abd53b8d9554f06b73a56cf,High-Level Fusion of Depth and Intensity for Pedestrian Classification,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 0cc3c62f762d64cffcab4ac7fea3896cb22a3df9,Preserving Privacy by De-identifying Facial Images,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,

 0ce08f1cc6684495d12c2da157a056c7b88ffcd9,Multi-Modality Feature Transform: An Interactive Image Segmentation Approach,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu,

 0c2d0734a2c9d3e4d8a585b3f2ad4f642bf06dea,Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -1222,8 +1498,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0c7844b63a05ec086fba231ad9eb3114ffb4139e,Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 0c7844b63a05ec086fba231ad9eb3114ffb4139e,Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 0c7844b63a05ec086fba231ad9eb3114ffb4139e,Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

-0c0dc5c307483642e15283d0d52a4159483d3df6,Multicamera Video Summarization from Optimal Reconstruction,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+0c0dc5c307483642e15283d0d52a4159483d3df6,Multicamera Video Summarization from Optimal Reconstruction,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 0c7a9230ed9aae4cd1f26290cf140bb9c7286954,The engagement of mid-ventrolateral prefrontal cortex and posterior brain regions in intentional cognitive activity.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0cdd98adf48018dba1a92e8a270a61b8d5739c42,Deep Neural Network Compression With Single and Multiple Level Quantization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 0cdd98adf48018dba1a92e8a270a61b8d5739c42,Deep Neural Network Compression With Single and Multiple Level Quantization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 0cbbbfac2fe925479c6b34712e056f840a10fa4d,Quality Evaluation Methods for Crowdsourced Image Segmentation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -1234,6 +1512,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0cbc3221a07db517c30b9d6605cbe9d103e19955,How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 0cbc3221a07db517c30b9d6605cbe9d103e19955,How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 0cbc4dcf2aa76191bbf641358d6cecf38f644325,Visage: A Face Interpretation Engine for Smartphone Applications,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

+0cbc4dcf2aa76191bbf641358d6cecf38f644325,Visage: A Face Interpretation Engine for Smartphone Applications,China,China,China,35.86166000,104.19539700,edu,

 0c20fd90d867fe1be2459223a3cb1a69fa3d44bf,A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 0c07b1faeb4c63c603bcd124640c6ffe07df801c,Unsupervised Selection of Negative Examples for Grounded Language Learning,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 0ce3a786aed896d128f5efdf78733cc675970854,Learning the Face Prior for Bayesian Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -1241,8 +1520,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0ccc535d12ad2142a8310d957cc468bbe4c63647,Better Exploiting OS-CNNs for Better Event Recognition in Images,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 0c8769bf0501fdd7fbc94ca81601de4a40679295,On Duality Of Multiple Target Tracking and Segmentation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 0cece7b8989352e16a2fab8c0a0b1911c286906a,AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu,

-0c6602439185ad8268ebcd99d1ac4afd66fb4c7b,"Learning Robust, Transferable Sentence Representations for Text Classification","University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+0c6602439185ad8268ebcd99d1ac4afd66fb4c7b,"Learning Robust, Transferable Sentence Representations for Text Classification",UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 0c124734ce6015bd4c506b101038aebc1412da49,Human Face Reconstruction Using Bayesian Deformable Models,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+0c4659b35ec2518914da924e692deb37e96d6206,Registering a MultiSensor Ensemble of Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0cf2eecf20cfbcb7f153713479e3206670ea0e9c,Privacy-Protective-GAN for Face De-identification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 0c435e7f49f3e1534af0829b7461deb891cf540a,Capturing Global Semantic Relationships for Facial Action Unit Recognition,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 0c435e7f49f3e1534af0829b7461deb891cf540a,Capturing Global Semantic Relationships for Facial Action Unit Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

@@ -1254,6 +1534,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0c882588ed7436f7122af2b324c598adbede49c1,Random mesh projectors for inverse problems,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu,

 0c882588ed7436f7122af2b324c598adbede49c1,Random mesh projectors for inverse problems,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 0ca35af582b95fbab3829f98308d104359c3b632,Recognizing objects by piecing together the Segmentation Puzzle,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+0cd8fabfc8e22be8275c317e7ccd37e640711c62,Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu,

 0c1d85a197a1f5b7376652a485523e616a406273,Joint Registration and Representation Learning for Unconstrained Face Identification,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

 0c1d85a197a1f5b7376652a485523e616a406273,Joint Registration and Representation Learning for Unconstrained Face Identification,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu,

 0c7aac75ccd17d696cff2e1ce95db0493f5c18a2,VideoMatch: Matching Based Video Object Segmentation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -1261,20 +1542,27 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 0c359d0d674599203c53f55dde73d511de21e580,A Study of Local Features for Unconstrained Parts Based Face Classification,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 0c6e29d82a5a080dc1db9eeabbd7d1529e78a3dc,Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 0c8ac71e174a941ea7e14e7b503a12ae7eeca9db,Visual Semantic Complex Network for Web Images,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

-0c8ac71e174a941ea7e14e7b503a12ae7eeca9db,Visual Semantic Complex Network for Web Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+0c8ac71e174a941ea7e14e7b503a12ae7eeca9db,Visual Semantic Complex Network for Web Images,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu,

 0ccc19a924ffbd56c055db22bf88b96bea73aca2,Fused HMM-adaptation of multi-stream HMMs for audio-visual speech recognition,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+0c5afb209b647456e99ce42a6d9d177764f9a0dd,Recognizing action units for facial expression analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0c6eff59e210c3af9865207302199412f3f91914,Parsing human motion with stretchable models,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+0c75c7c54eec85e962b1720755381cdca3f57dfb,Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0c12cbb9b9740dfa2816b8e5cde69c2f5a715c58,Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

 0c12cbb9b9740dfa2816b8e5cde69c2f5a715c58,Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0c4d99f49654fe04a8e229a20a6e0e0f0d81337b,Multi-Scale Human Pose Tracking in 2 D Monocular Images,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu,

+0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,China,China,China,35.86166000,104.19539700,edu,

+0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,China,China,China,35.86166000,104.19539700,edu,

 0c77f42e8d530b542a534087b24dd8a21e8781cf,Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

-0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 0c5f74c8e323861d18d6090d8cce05dde22660d0,Enhancing Person Re-identification by Robust Structural Metric Learning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+0c36c988acc9ec239953ff1b3931799af388ef70,Face Detection Using Improved Faster RCNN,China,China,China,35.86166000,104.19539700,edu,

 0c05f60998628884a9ac60116453f1a91bcd9dda,Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 0cd7ff53729dafe9175009d7f04570dbbf41a608,Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+0cd7ff53729dafe9175009d7f04570dbbf41a608,Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition,China,China,China,35.86166000,104.19539700,edu,

 0c7f27d23a162d4f3896325d147f412c40160b52,Models and Algorithms for Vision through the Atmosphere,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+0c377fcbc3bbd35386b6ed4768beda7b5111eec6,A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0cd87a66028f9d3c519a9459a213905b42b4c3b0,Cross-Domain Forensic Shoeprint Matching,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 0cd87a66028f9d3c519a9459a213905b42b4c3b0,Cross-Domain Forensic Shoeprint Matching,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 0cd87a66028f9d3c519a9459a213905b42b4c3b0,Cross-Domain Forensic Shoeprint Matching,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,

@@ -1282,12 +1570,19 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 71f9bed14188d861f248fb426a26a3a0b400843a,Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me?,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 71559cae0bc89398e75a2f24674d61cb51909390,Relighting Humans : Occlusion-Aware Inverse Rendering for Full-Body Human Images,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

 71559cae0bc89398e75a2f24674d61cb51909390,Relighting Humans : Occlusion-Aware Inverse Rendering for Full-Body Human Images,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

+71559cae0bc89398e75a2f24674d61cb51909390,Relighting Humans : Occlusion-Aware Inverse Rendering for Full-Body Human Images,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+71ccb8bbb5f5cf30f14a3065c69e24218fc9502c,Face Recognition Using LBP Eigenfaces,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 71ccb8bbb5f5cf30f14a3065c69e24218fc9502c,Face Recognition Using LBP Eigenfaces,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

 71e942e05f73b163a7ec814a85ff4131cb48f650,The BANCA Database and Evaluation Protocol,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 718d3d6ca77d1999efafd171ac4b6056312035d8,"FACE RECOGNITION USING PCA , LDA AND ICA APPROACHES ON COLORED IMAGES",Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 7142ac9e4d5498037aeb0f459f278fd28dae8048,Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 7117ed0be436c0291bc6fb6ea6db18de74e2464a,Spatial Transformations,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 716d6c2eb8a0d8089baf2087ce9fcd668cd0d4c0,Pose-Robust 3 D Facial Landmark Estimation from a Single 2 D Image,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

+71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,India,India,India,20.59368400,78.96288000,edu,

+71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,India,India,India,20.59368400,78.96288000,edu,

+71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,India,India,India,20.59368400,78.96288000,edu,

+715216a92c338a3c35319026d38ed0da0c57d013,Integrated Pedestrian and Direction Classification Using a Random Decision Forest,University of Auckland,"The University of Auckland, Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu,

 71f36c8e17a5c080fab31fce1ffea9551fc49e47,Predicting Failures of Vision Systems,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,

 712a86afe7b479dfe583cda521dd0a14b0182f3f,Egocentric Basketball Motion Planning from a Single First-Person Image,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 712a86afe7b479dfe583cda521dd0a14b0182f3f,Egocentric Basketball Motion Planning from a Single First-Person Image,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,

@@ -1308,6 +1603,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 719969807953d7ea8bda0397b1aadbaa6e205718,Automatic Dataset Augmentation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 715c7187b27b452424379254f5dc55909913b339,The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu,

 715c7187b27b452424379254f5dc55909913b339,The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+718d3137adba9e3078fa1f698020b666449f3336,Accuracy Based Feature Ranking Metric for Multi-Label Text Classification,"Lahore, Pakistan","Lahore, Pakistan","Lahore, Punjab, Pakistan",31.52036960,74.35874730,edu,

 718d3137adba9e3078fa1f698020b666449f3336,Accuracy Based Feature Ranking Metric for Multi-Label Text Classification,University of Gujrat,University of Gujrat,"University of Gujrat, University Road, Chandhar, Gujrāt District, پنجاب, 50700, ‏پاکستان‎",32.63744845,74.16174558,edu,

 718d3137adba9e3078fa1f698020b666449f3336,Accuracy Based Feature Ranking Metric for Multi-Label Text Classification,University of Gujrat,University of Gujrat,"University of Gujrat, University Road, Chandhar, Gujrāt District, پنجاب, 50700, ‏پاکستان‎",32.63744845,74.16174558,edu,

 71797806fb9685a9a743c84c9e859948f7c6a77b,Learning to Describe Differences Between Pairs of Similar Images,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,

@@ -1318,6 +1614,8 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 71b07c537a9e188b850192131bfe31ef206a39a0,Faces InThe-Wild Challenge : database and results,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 71b07c537a9e188b850192131bfe31ef206a39a0,Faces InThe-Wild Challenge : database and results,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 7150323712cb700a68e7365a9c627b55c2c262dc,SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+7150323712cb700a68e7365a9c627b55c2c262dc,SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks,"Sullivan Nicolaides Pathology, Australia","Sullivan Nicolaides Pathology, Australia","24 Hurworth St, Bowen Hills QLD 4006, Australia",-27.44925600,153.03674210,edu,

+71d3ed17c0642234a921bb45fcadd86520794941,Learning by Tracking: Siamese CNN for Robust Target Association,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 713db3874b77212492d75fb100a345949f3d3235,Deep Semantic Face Deblurring,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 71969ee27916d545c63fe852946dd6dcc015d1a8,Who are the Devils Wearing Prada in New York City?,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 71969ee27916d545c63fe852946dd6dcc015d1a8,Who are the Devils Wearing Prada in New York City?,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

@@ -1335,10 +1633,12 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 710669a25300eb9d083ce46a643b492eab80b1a9,Semantic Single Video Segmentation with Robust Graph Representation,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 7127f9e9a51236f213c5b7805be8714a3bcbfc28,Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 71899cbc5b4b25b2e834919f58d7620484d7e848,Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",China,China,China,35.86166000,104.19539700,edu,

 710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 71e56f2aebeb3c4bb3687b104815e09bb4364102,Video Co-segmentation for Meaningful Action Extraction,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+71e56f2aebeb3c4bb3687b104815e09bb4364102,Video Co-segmentation for Meaningful Action Extraction,China,China,China,35.86166000,104.19539700,edu,

 71644fab2275cfd6a8f770a26aba4e6228e85dec,Multi-View Discriminant Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 714a420173f328999c3b81fb70ce85be925b725f,Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 71e6a46b32a8163c9eda69e1badcee6348f1f56a,Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

@@ -1348,13 +1648,17 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6,The Do’s and Don’ts for CNN-Based Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 713594c18978b965be87651bb553c28f8501df0a,Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 713594c18978b965be87651bb553c28f8501df0a,Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+713594c18978b965be87651bb553c28f8501df0a,Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 719e58a8b256cdcc88f7980e4798fe8e6aa1a808,Confidence Intervals for Tracking Performance Scores,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 7060f6062ba1cbe9502eeaaf13779aa1664224bb,A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+706600aa77ffb165097e4aeccb2b214dabdb8092,Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering,India,India,India,20.59368400,78.96288000,edu,

 70cbbf1ac971a89e18240e70d86fde2ac5190bad,Mammoth Data in the Cloud: Clustering Social Images,Indiana University Bloomington,Indiana University Bloomington,"Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA",39.17720475,-86.51540030,edu,

 700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,China,China,China,35.86166000,104.19539700,edu,

 700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 70a3bea7e9a4f7af6e80832d467a457c18d2389a,Generative Adversarial Forests for Better Conditioned Adversarial Learning,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu,

+70eb48e06d9d5edf84246b772673b6d44af4b3c6,ROBUST LDP BASED FACE DESCRIPTOR,India,India,India,20.59368400,78.96288000,edu,

 704d88168bdfabe31b6ff484507f4a2244b8c52b,MLtuner: System Support for Automatic Machine Learning Tuning,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,

 7071cd1ee46db4bc1824c4fd62d36f6d13cad08a,Face Detection through Scale-Friendly Deep Convolutional Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 709198f1a7d42fb87d46a8f5dc48e23e6564df1c,Visual and semantic similarity in ImageNet,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

@@ -1389,6 +1693,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 701f56f0eac9f88387de1f556acef78016b05d52,Direct Shape Regression Networks for End-to-End Face Alignment,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 701f56f0eac9f88387de1f556acef78016b05d52,Direct Shape Regression Networks for End-to-End Face Alignment,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 70db3a0d2ca8a797153cc68506b8650908cb0ada,An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu,

+7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,India,India,India,20.59368400,78.96288000,edu,

+7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,India,India,India,20.59368400,78.96288000,edu,

+7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,India,India,India,20.59368400,78.96288000,edu,

 7002d6fc3e0453320da5c863a70dbb598415e7aa,Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 704fe3839742e8d022fdc110f3a502e42a0ef89e,Running Head : RACIAL BIAS AND AGE 1 The Generalization of Implicit Racial Bias to Young Black Boys : Automatic Stereotyping or Automatic Prejudice ?,University of Iowa,University of Iowa,"University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA",41.66590000,-91.57310307,edu,

 704fe3839742e8d022fdc110f3a502e42a0ef89e,Running Head : RACIAL BIAS AND AGE 1 The Generalization of Implicit Racial Bias to Young Black Boys : Automatic Stereotyping or Automatic Prejudice ?,University of Iowa,University of Iowa,"University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA",41.66590000,-91.57310307,edu,

@@ -1398,8 +1705,11 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded
 70eeacf9f86ba08fceb3dd703cf015016dac1930,Coupled information-theoretic encoding for face photo-sketch recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 70eeacf9f86ba08fceb3dd703cf015016dac1930,Coupled information-theoretic encoding for face photo-sketch recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 7017a4c7a972d546ef2d59d29bf7c0ba6888e2ba,Human Pose and Shape Estimation from MultiView Images for Virtual Dressing Rooms,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

-ff9af51b07a7e80706361cd064a25d99cde64236,Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ff9af51b07a7e80706361cd064a25d99cde64236,Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ff1f45bdad41d8b35435098041e009627e60d208,From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script.,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,India,India,India,20.59368400,78.96288000,edu,

+ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,India,India,India,20.59368400,78.96288000,edu,

 ffd0ba45cc6b0c8f72a09617144786ffb26be771,Data-Free Knowledge Distillation for Deep Neural Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 ffd0ba45cc6b0c8f72a09617144786ffb26be771,Data-Free Knowledge Distillation for Deep Neural Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 ffd0ba45cc6b0c8f72a09617144786ffb26be771,Data-Free Knowledge Distillation for Deep Neural Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -1411,11 +1721,15 @@ ffe0f43206169deef3a2bf64cec90fe35bb1a8e5,"Automated Processing of Imaging Data t
 ffe0f43206169deef3a2bf64cec90fe35bb1a8e5,"Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans
 ",University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 ff825a46f0a4e9f6ad748aeefd18f34f6b4addfb,"The ""reading the mind in films"" task: complex emotion recognition in adults with and without autism spectrum conditions.",Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

+ff8315c1a0587563510195356c9153729b533c5b,Zapping Index:Using Smile to Measure Advertisement Zapping Likelihood,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ff948365684d3aa1a834deb49f326e264b56677a,"Animal, but not human, faces engage the distributed face network in adolescents with autism.",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,

 ff637a63d1286705b357a7d4b2bc543158d2ee0b,A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia,Edge Hill University,Edge Hill University,"Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK",53.55821550,-2.86904651,edu,

 ff11cb09e409996020a2dc3a8afc3b535e6b2482,Faster Bounding Box Annotation for Object Detection in Indoor Scenes,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+ff11cb09e409996020a2dc3a8afc3b535e6b2482,Faster Bounding Box Annotation for Object Detection in Indoor Scenes,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 ff311fbb5600234fd639c96522d1b450b6190cdd,AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+ffc06713436afc4e08bf4afa401ac52db674c5da,Neural Adaptive Content-aware Internet Video Delivery,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 ffc5a9610df0341369aa75c0331ef021de0a02a9,Transferred Dimensionality Reduction,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+ff4e8a8333e4ef506318160248c068250963806d,Gender recognition from face images using texture descriptors for human computer interaction,India,India,India,20.59368400,78.96288000,edu,

 ff772950f66ac6a57f4201ce1f02f0013ccdc1bb,Receptive Field Block Net for Accurate and Fast Object Detection,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 ff69da3510f5ffed224069faf62036e1aa9b6d26,Extended Set of Local Binary Patterns for Rapid Object Detection,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 ff5a3b2fae2ee1cf4f1c32ff7e5fdccf72815578,Multi-Person Pose Estimation via Column Generation,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

@@ -1428,25 +1742,33 @@ ffe4bb47ec15f768e1744bdf530d5796ba56cfc1,AFIF4: Deep Gender Classification based
 ff47698be7313005d0ea0fe0cc72c13f2f4b092a,Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 fff755ee8522d5ab0931babeaded2f9113c44b95,A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 ffc7de9e2519f54b0c843879013e24cb7ee2a2ac,A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

+ff7bc7a6d493e01ec8fa2b889bcaf6349101676e,Facial expression recognition with spatiotemporal local descriptors,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 ffa23a8c988e57cf5fc21b56b522a4ee68f2f362,Social game retrieval from unstructured videos,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+fffefc1fb840da63e17428fd5de6e79feb726894,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ff5c698e1f451c7e6fc4f036fb79ba6ff899285f,Adaptive unsupervised multi-view feature selection for visual concept recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 ff5c698e1f451c7e6fc4f036fb79ba6ff899285f,Adaptive unsupervised multi-view feature selection for visual concept recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+fff32fd598e41ec6dd6903082d77f43f16908cfd,Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+fff32fd598e41ec6dd6903082d77f43f16908cfd,Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 fff32fd598e41ec6dd6903082d77f43f16908cfd,Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 ffaad0204f4af763e3390a2f6053c0e9875376be,Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu,

 ffaad0204f4af763e3390a2f6053c0e9875376be,Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+ab6ed75e1b1952e4461fc603bcfd042bb462635f,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,China,China,China,35.86166000,104.19539700,edu,

 ab6ed75e1b1952e4461fc603bcfd042bb462635f,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 ab6ed75e1b1952e4461fc603bcfd042bb462635f,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 ab427f0c7d4b0eb22c045392107509451165b2ba,Learning scale ranges for the extraction of regions of interest,Western Kentucky University,Western Kentucky University,"Western Kentucky University, Avenue of Champions, Bowling Green, Warren County, Kentucky, 42101, USA",36.98453170,-86.45764430,edu,

 ab84d00079d0a29e44bdc4c83037dc76b0fbef05,Visual Text Correction,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+ab87dfccb1818bdf0b41d732da1f9335b43b74ae,Structured Dictionary Learning for Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 abb7c66487009ea20967b9c6708f660fd4197bbb,In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 ab134c9244c762f1429ccb7d737610d17d95f019,Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+ab41364a58b34844b281046c3d8678f7d537a97e,Learning Deep Hierarchical Visual Feature Coding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 abac0fa75281c9a0690bf67586280ed145682422,Describable Visual Attributes for Face Images,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 ab734bac3994b00bf97ce22b9abc881ee8c12918,Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 ab734bac3994b00bf97ce22b9abc881ee8c12918,Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+ab734bac3994b00bf97ce22b9abc881ee8c12918,Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification,China,China,China,35.86166000,104.19539700,edu,

 ab0d227b63b702ba80f70fd053175cd1b2fd28cc,Boosting Pseudo Census Transform Features for Face Alignment,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 ab1f057bfe02b80a14f4c011abb9ceb2a9c98b6c,Dress Like a Star: Retrieving Fashion Products from Videos,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu,

 ab1f057bfe02b80a14f4c011abb9ceb2a9c98b6c,Dress Like a Star: Retrieving Fashion Products from Videos,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu,

-aba742ca4edc7dd37ff481d12e4b94c153baae77,Pose-Guided Human Parsing with Deep Learned Features,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+aba742ca4edc7dd37ff481d12e4b94c153baae77,Pose-Guided Human Parsing with Deep Learned Features,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 ab05988c3af93e7753de79996cc409be0a8d2bd1,Approximate LDA Technique for Dimensionality Reduction in the Small Sample Size Case,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 ab368594b9bd569e8d0fcf5c6010f1c31e3aa39e,"Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest",Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

 ab368594b9bd569e8d0fcf5c6010f1c31e3aa39e,"Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest",Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

@@ -1459,6 +1781,8 @@ ab5eb89bd154b43d1704657eb56d7ba5fc0d0138,"Investigations of an "" Objectness ""
 aba31184783150c723805831cde0f22fe257b835,Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

 aba31184783150c723805831cde0f22fe257b835,Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 abb396490ba8b112f10fbb20a0a8ce69737cd492,Robust Face Recognition Using Color Information,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu,

+ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 abe57316b960260a0e89f84229f26d3d8c613e59,Improving HOG with Image Segmentation: Application to Human Detection,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,

 ab781f035720d991e244adb35f1d04e671af1999,Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 ab781f035720d991e244adb35f1d04e671af1999,Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

@@ -1466,6 +1790,7 @@ ab0715642330502d5efca948e4753651cb004d84,Soft-NMS — Improving Object Detection
 ab7bcbaa9e77d35634302b021d47e7889628a88d,FaceSketchID: A system for facial sketch to mugshot matching,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 abdd17e411a7bfe043f280abd4e560a04ab6e992,Pose-Robust Face Recognition via Deep Residual Equivariant Mapping,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 ab34ed858412b08441259374a83f4b3adb615789,Multimedia Annotation Through Search and Mining,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+ab0dd486ff270c3a5ec877aecad7f20b2ce3f670,A Two Phase Approach for Pedestrian Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 abb2073788183294ecede3765f698a8e7ed6de87,"Integrated learning of saliency, complex features, and object detectors from cluttered scenes","University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 ab567ca60fc3f72f27746b4d9e505042ab282ca3,Guidelines for studying developmental prosopagnosia in adults and children.,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 ab567ca60fc3f72f27746b4d9e505042ab282ca3,Guidelines for studying developmental prosopagnosia in adults and children.,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

@@ -1473,21 +1798,30 @@ ab567ca60fc3f72f27746b4d9e505042ab282ca3,Guidelines for studying developmental p
 abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,China,China,China,35.86166000,104.19539700,edu,

 abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

 abc618b5c4f69a34c655bbb93c6003cc671b0f72,Is Faster R-CNN Doing Well for Pedestrian Detection?,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

-abc618b5c4f69a34c655bbb93c6003cc671b0f72,Is Faster R-CNN Doing Well for Pedestrian Detection?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+abc618b5c4f69a34c655bbb93c6003cc671b0f72,Is Faster R-CNN Doing Well for Pedestrian Detection?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu,

+abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu,

 ab44a7585b45e72affe1746fc302baccd6412969,Multiview Depth-based Pose Estimation,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 ab44a7585b45e72affe1746fc302baccd6412969,Multiview Depth-based Pose Estimation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 ae18ccb35a1a5d7b22f2a5760f706b1c11bf39a9,Sensing Highly Non-Rigid Objects with RGBD Sensors for Robotic Systems,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

+aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,Binghamton University,Binghamton University,"Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA",42.09580770,-75.91455689,edu,

 aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,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,

 aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

+ae5983048e59a339c77fee89e9279a4a787ba985,Part-Based Deep Hashing for Large-Scale Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 aeaf5dbb3608922246c7cd8a619541ea9e4a7028,Weakly Supervised Facial Action Unit Recognition through Adversarial Training,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

 ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

+ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,China,China,China,35.86166000,104.19539700,edu,

+ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,China,China,China,35.86166000,104.19539700,edu,

+ae33dc04adcb83a486517c48078cdd4af7dcc7c7,The adaptative local Hausdorff-distance map as a new dissimilarity measure,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 aecce5d8e06da797c087fb361732e84e62c04c4f,Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 aecce5d8e06da797c087fb361732e84e62c04c4f,Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 aeb09c11a94a1589b0404b5d14a68cc40fcc0705,The Many Moods of Emotion,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

@@ -1527,15 +1861,19 @@ ae5b2b449f59ae0f46f6a31ed4826d98241c394c,Accurate real-time people counting for
 ae5b2b449f59ae0f46f6a31ed4826d98241c394c,Accurate real-time people counting for crowded environments,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 ae587a4a8842fbe01b9a043b66f762a89dca5074,Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency,"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,

 aec46facf3131a5be4fc23db4ebfb5514e904ae3,Audio to the rescue,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ae4390873485c9432899977499c3bf17886fa149,FACIAL EXPRESSION RECOGNITION USING DIGITALISED FACIAL FEATURES BASED ON ACTIVE SHAPE MODEL,Glyndwr University,Glyndwr University,"Glyndŵr University, Mold Road, Rhosrobin, Wrexham, Wales, LL11 2AW, UK",53.05373795,-3.00482075,edu,

 ae6193531d42fc20c9c991143ce323034d7aaa8d,Going Deeper with Semantics : Video Activity Interpretation using Semantic Contextualization,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 ae6193531d42fc20c9c991143ce323034d7aaa8d,Going Deeper with Semantics : Video Activity Interpretation using Semantic Contextualization,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 ae6193531d42fc20c9c991143ce323034d7aaa8d,Going Deeper with Semantics : Video Activity Interpretation using Semantic Contextualization,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

+aee90db1f66b77113b0a62701deb01ca96b6d9e6,"Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ae71f69f1db840e0aa17f8c814316f0bd0f6fbbf,That personal pro fi le image might jeopardize your rental opportunity ! On the relative impact of the seller ' s facial expressions upon buying behavior on Airbnb TM *,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 aefb110f14dd8d59c5465c7d91bd8b34a7c69597,A sequential guiding network with attention for image captioning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 aefb110f14dd8d59c5465c7d91bd8b34a7c69597,A sequential guiding network with attention for image captioning,North China Electric Power University,North China Electric Power University,"华北电力大学, 永华北大街, 莲池区, 保定市, 莲池区 (Lianchi), 保定市, 河北省, 071000, 中国",38.87604460,115.49738730,edu,

 aea6dfb43df75b176ff209f5510a0f17256a4d0a,Learning 3 D Scene Synthesis from Annotated RGB-D Images,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 aea6dfb43df75b176ff209f5510a0f17256a4d0a,Learning 3 D Scene Synthesis from Annotated RGB-D Images,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+ae299fad29ba650fbf1e14c7c95ba8ae32e095f0,Person Re-Identification by Robust Canonical Correlation Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 aecd24f4a41eb6942375b9c03adcb7e137250b3f,Tensor Sparse Coding for Region Covariances,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children With Attention Deficit/Hyperactivity Disorder: Evidence From Event Related Gamma Oscillation,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children With Attention Deficit/Hyperactivity Disorder: Evidence From Event Related Gamma Oscillation,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

@@ -1547,7 +1885,7 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children
 079495c84b68623d9b1d4d48809cc24c1eee0a7e,Natural Language Object Retrieval,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 07d986b1005593eda1aeb3b1d24078db864f8f6a,FACIAL EXPRESSION RECOGNITION USING LOCAL FACIAL FEATURES,National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu,

 07d986b1005593eda1aeb3b1d24078db864f8f6a,FACIAL EXPRESSION RECOGNITION USING LOCAL FACIAL FEATURES,National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu,

-0754d3d8fbae668880a3eb91b2bce89543ea467e,Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL),Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0754d3d8fbae668880a3eb91b2bce89543ea467e,Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL),Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 07ba3c796244f76b5e6914246fd83b66d3b65c34,Real-time Human Detection based on Personness Estimation,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 07de8371ad4901356145722aa29abaeafd0986b9,Towards Usable Multimedia Event 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,

 0769f782105118883d59f1e6b5629ed99a6ff7b0,A novel multi-instance learning algorithm with application to image classification,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

@@ -1556,6 +1894,7 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children
 07fa153b8e6196ee6ef6efd8b743de8485a07453,Action Prediction From Videos via Memorizing Hard-to-Predict Samples,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 07fa153b8e6196ee6ef6efd8b743de8485a07453,Action Prediction From Videos via Memorizing Hard-to-Predict Samples,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 07fa153b8e6196ee6ef6efd8b743de8485a07453,Action Prediction From Videos via Memorizing Hard-to-Predict Samples,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+073bcb3b1aed5cdf7bff4e9fe46a21175f42c877,"Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 07a29f43713833da42b24e3915b63601c39d7627,Action Recognition and Localization by Hierarchical Space-Time Segments,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 07a29f43713833da42b24e3915b63601c39d7627,Action Recognition and Localization by Hierarchical Space-Time Segments,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu,

 076f3c0b688f5ccc4ab610233ea1d5005b69e204,Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

@@ -1568,6 +1907,7 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children
 07d249512522ae946089460c086b98205bcd17f3,Complex loss optimization via dual decomposition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 07a472ea4b5a28b93678a2dcf89028b086e481a2,Head Dynamic Analysis: A Multi-view Framework,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 0744143542ffcb45b1ad83078c23efa9d3ec2be4,Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+0744143542ffcb45b1ad83078c23efa9d3ec2be4,Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation,China,China,China,35.86166000,104.19539700,edu,

 07fd87460b3f454c2e7c971aca55df85a374bf8d,An Object-Based Bayesian Framework for Top-Down Visual Attention,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,

 07fd87460b3f454c2e7c971aca55df85a374bf8d,An Object-Based Bayesian Framework for Top-Down Visual Attention,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,

 07191c2047b5b643dd72a0583c1d537ba59f977a,Interactive Segmentation from 1-Bit Feedback,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

@@ -1586,6 +1926,11 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children
 070de852bc6eb275d7ca3a9cdde8f6be8795d1a3,A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 070de852bc6eb275d7ca3a9cdde8f6be8795d1a3,A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling,Jacobs University,Jacobs University,"Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK",53.41291480,-2.96897915,edu,

 070de852bc6eb275d7ca3a9cdde8f6be8795d1a3,A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 07ed099e7d9c88d8e272d7191a4c7c5a68e3a6bd,Exploring Local Context for Multi-target Tracking in Wide Area Aerial Surveillance,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,

 071777bc168e9940bb04b207d3b061bbd5a0c01a,Improving Point of View Scene Recognition by Considering Textual Data,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 07f31bef7a7035792e3791473b3c58d03928abbf,Lessons from collecting a million biometric samples,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

@@ -1599,14 +1944,21 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children
 07b3a07afe3753083b4d22285fc0d4176f26d912,Multi Channel Sequence Processing,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 07b3a07afe3753083b4d22285fc0d4176f26d912,Multi Channel Sequence Processing,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 074c658fac7d7ebd88be8a24b46f2b301a9aeeeb,Alternating Decision Forests,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+074c658fac7d7ebd88be8a24b46f2b301a9aeeeb,Alternating Decision Forests,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0740f71446e99273b89d89fa05ab439dc58c12e1,Reliable mapping and partitioning of performance-constrained openCL applications on CPU-GPU MPSoCs,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 07e6d293498c4f9048ee5a67ad32ca42d6af9b51,Video-based Side-view Face Recognition for Home Safety,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 0773c320713dae62848fceac5a0ac346ba224eca,Digital facial augmentation for interactive entertainment,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 076d3fc800d882445c11b9af466c3af7d2afc64f,Face attribute classification using attribute-aware correlation map and gated convolutional neural networks,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

+0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

+0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+07625af8d73142e239b5cdccb1dd226648e4b0d4,Learning Scene-Independent Group Descriptors for Crowd Understanding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 07c90e85ac0f74b977babe245dea0f0abcf177e3,An Image Preprocessing Algorithm for Illumination Invariant Face Recognition,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,

 f0fda989277302ffa8d2a3837c95fa7c90585091,Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

 f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,India,India,India,20.59368400,78.96288000,edu,

+f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,India,India,India,20.59368400,78.96288000,edu,

 f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 f074e86e003d5b7a3b6e1780d9c323598d93f3bc,Characteristic Number: Theory and Its Application to Shape Analysis,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

@@ -1618,8 +1970,13 @@ f049ea3ca734c217c380a1802d15a6d85378f55d,Efficient misbehaving user detection in
 f08e425c2fce277aedb51d93757839900d591008,Neural Motifs: Scene Graph Parsing with Global Context,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 f08e425c2fce277aedb51d93757839900d591008,Neural Motifs: Scene Graph Parsing with Global Context,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,

 f05ad40246656a977cf321c8299158435e3f3b61,Face Recognition Using Face Patch Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+f0304ea9943e96e645b8702c2810cca517439465,Automatic Diagnosis of Diabetic Retinopathy by Hybrid Multilayer Feed Forward Neural Network Ms,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f02f0f6fcd56a9b1407045de6634df15c60a85cd,Learning Low-shot facial representations via 2D warping,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 f029e3fc47cab0b23da307dd2ec6d2a064091f83,Appearance and motion based data association for pedestrian tracking,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+f029e3fc47cab0b23da307dd2ec6d2a064091f83,Appearance and motion based data association for pedestrian tracking,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

+f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu,

+f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu,

+f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu,

 f03b9b0895f5fb3351bbf3db4b1139af85650543,Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space,"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,

 f0a3f12469fa55ad0d40c21212d18c02be0d1264,Sparsity Sharing Embedding for Face Verification,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

 f0f501e1e8726148d18e70c8e9f6feea9360d119,Jukka Komulainen SOFTWARE-BASED COUNTERMEASURES TO 2 D FACIAL SPOOFING ATTACKS,University of Oulu,University 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,

@@ -1627,22 +1984,33 @@ f0ca31fd5cad07e84b47d50dc07db9fc53482a46,Feature Patch Illumination Spaces and K
 f0864a4e2f7dc4b3bacc36a0617a1860bcb6aba1,Multi-pedestrian detection in crowded scenes: A global view,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f0398ee5291b153b716411c146a17d4af9cb0edc,Learning Optical Flow via Dilated Networks and Occlusion Reasoning,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 f0c21345a13c0e1da2b74aef4e8b987feb266bb5,Deep Multitask Architecture for Integrated 2D and 3D Human Sensing,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

+f08266cea120e8aa091983da5269ee5e35febe75,Semantic Diversity versus Visual Diversity in Visual Dictionaries,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f02feec9f8d15f929018e0f0aa14446f47112d22,Cross-Resolution Person Re-identification with Deep Antithetical Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+f0b954b464ee9ddb24b90108654eab24f136880f,Vehicle-logo Recognition Based on Convolutional Neural Network with Multi-scale Parallel Layers,China,China,China,35.86166000,104.19539700,edu,

 f0b954b464ee9ddb24b90108654eab24f136880f,Vehicle-logo Recognition Based on Convolutional Neural Network with Multi-scale Parallel Layers,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f0ae665f5b4a9314c77dc9ec285a335ee6ecc15b,A Heuristic Deformable Pedestrian Detection Method,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f0f0e94d333b4923ae42ee195df17c0df62ea0b1,Scaling Manifold Ranking Based Image Retrieval,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+f0d29be1a93158d320bef285442f63bb090f6c31,An Online and Flexible Multi-Object Tracking Framework using Long Short-Term Memory,China,China,China,35.86166000,104.19539700,edu,

 f0e26f749fb67182a5d3864e62a3460ac333e5e4,Spatial Knowledge Distillation to aid Visual Reasoning,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 f0a4a3fb6997334511d7b8fc090f9ce894679faf,Generative Face Completion,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 f0681fc08f4d7198dcde803d69ca62f09f3db6c5,Spatiotemporal features for effective facial expression recognition,Bogazici University,Bogazici University,"Boğaziçi Üniversitesi Kuzey Yerleşkesi, Okulaltı 1. Sokak, Rumelihisarı, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34467, Türkiye",41.08688410,29.04413167,edu,

-f02a6bccdaee14ab55ad94263539f4f33f1b15bb,Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+f02a6bccdaee14ab55ad94263539f4f33f1b15bb,Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+f0c99016daf4ff2dcc2cde13822714155435128e,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f06f4bc74dc0be0a628e99a5c86ab3e00ed00276,Heated-Up Softmax Embedding,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,China,China,China,35.86166000,104.19539700,edu,

+f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,China,China,China,35.86166000,104.19539700,edu,

+f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,China,China,China,35.86166000,104.19539700,edu,

 cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",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,

 cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",China,China,China,35.86166000,104.19539700,edu,

+cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",China,China,China,35.86166000,104.19539700,edu,

 cf64cdc889a4edaf641a307aa2b11d89d4d10a09,High-performance and energy-efficient mobile web browsing on big/little systems,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+cfd933f71f4a69625390819b7645598867900eab,Person Authentication Using Face And Palm Vein : A Survey Of Recognition And Fusion Techniques,India,India,India,20.59368400,78.96288000,edu,

 cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2,Calibrated Prediction Intervals for Neural Network Regressors,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,

 cf94200a476dc15d6da95db809349db4cfd8e92c,Leveraging Motion Priors in Videos for Improving Human Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 cfb1b2006d24a81bc3f489ca0eb391e7f03788d6,Nonlinear 3D Face Morphable Model,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 cf528f9fe6588b71efa94c219979ce111fc9c1c9,On Evaluation of 6D Object Pose Estimation,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

+cf7e6d057e6ef01904770be3dfc9da29f9c1e197,An Adaptive Detection Method of Multiple Faces,China,China,China,35.86166000,104.19539700,edu,

 cfc14272b915828a232e29dfc2099f842b144974,Challenging Images For Minds and Machines,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 cfd700cb28529a9119824389451ddde9c041275e,Sub-Selective Quantization for Large-Scale Image Search,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 cfd700cb28529a9119824389451ddde9c041275e,Sub-Selective Quantization for Large-Scale Image Search,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

@@ -1654,39 +2022,51 @@ cf671dc13696d1643cc1f32f7d32c329b16cd745,Multiple Fisher Classifiers Combination
 cf671dc13696d1643cc1f32f7d32c329b16cd745,Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 cf671dc13696d1643cc1f32f7d32c329b16cd745,Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 cf393385803f4a8501d0690250c848c7149338ac,A Neural Multi-sequence Alignment TeCHnique (NeuMATCH),University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+cf393385803f4a8501d0690250c848c7149338ac,A Neural Multi-sequence Alignment TeCHnique (NeuMATCH),Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 cfdc4d0f8e1b4b9ced35317d12b4229f2e3311ab,Quaero at TRECVID 2010: Semantic Indexing,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 cf18432bb77bf41377c477b5aaab9abd0f1f306c,ReabsNet: Detecting and Revising Adversarial Examples,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

-cfa48bc1015b88809e362b4da19fe4459acb1d89,Learning to Filter Object Detections,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+cfa48bc1015b88809e362b4da19fe4459acb1d89,Learning to Filter Object Detections,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+cfa48bc1015b88809e362b4da19fe4459acb1d89,Learning to Filter Object Detections,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 cf5c9b521c958b84bb63bea9d5cbb522845e4ba7,Towards Arbitrary-View Face Alignment by Recommendation Trees,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 cf5c9b521c958b84bb63bea9d5cbb522845e4ba7,Towards Arbitrary-View Face Alignment by Recommendation Trees,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 cffebdf88e406c27b892857d1520cb2d7ccda573,LEARNING FROM LARGE-SCALE VISUAL DATA FOR ROBOTS,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 cf80b4f78e639504cbf056f29bc1efecf31b1bb2,Joint Flow: Temporal Flow Fields for Multi Person Tracking,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

+cfc9056155bf32648448b588a752f694b4e8249c,Combining Contrast Information and Local Binary Patterns for Gender Classification,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3,Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3,Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification,China,China,China,35.86166000,104.19539700,edu,

 cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3,Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8,Implicit models for automatic pose estimation in static images,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8,Implicit models for automatic pose estimation in static images,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 cf130b2e858d162f8dc45301a1b205c0c19ca8b3,Fusion of Global and Local Features for Face Verification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 cf4e94d0337744280da87ff351412bbe702af2b7,An Informed Framework for Training Classifiers from Social Media,Hankuk University of Foreign Studies,Hankuk University of Foreign Studies,"외대앞, 휘경로, 이문동, 이문2동, 동대문구, 서울특별시, 02407, 대한민국",37.59539790,127.06304990,edu,

+cf4e94d0337744280da87ff351412bbe702af2b7,An Informed Framework for Training Classifiers from Social Media,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 cf814b618fcbc9a556cdce225e74a8806867ba84,Facial Expression Recognition Using 3D Facial Feature Distances,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 cff911786b5ac884bb71788c5bc6acf6bf569eff,Multi-task Learning of Cascaded CNN for Facial Attribute Classification,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

+cff911786b5ac884bb71788c5bc6acf6bf569eff,Multi-task Learning of Cascaded CNN for Facial Attribute Classification,China,China,China,35.86166000,104.19539700,edu,

 cf9732deb856b45aa7a9b0e90bde885d7d8a16bd,ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

 cf9732deb856b45aa7a9b0e90bde885d7d8a16bd,ADA: A Game-Theoretic Perspective on Data Augmentation for Object 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,

 cf9732deb856b45aa7a9b0e90bde885d7d8a16bd,ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

+cfb3c1c395b146021a70ae9d5cf7c76854108a86,S-Log: Skin based Log-Gabor Approach for Face Detection in Video,India,India,India,20.59368400,78.96288000,edu,

 cfeb26245b57dd10de8f187506d4ed5ce1e2b7dd,CapsNet comparative performance evaluation for image classification,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 cf09e2cb82961128302b99a34bff91ec7d198c7c,OFFICE ENTRANCE CONTROL WITH FACE RECOGNITION,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 cf09e2cb82961128302b99a34bff91ec7d198c7c,OFFICE ENTRANCE CONTROL WITH FACE RECOGNITION,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 cff0e53006c6145d96322e6401e840f405b6ed02,Guest Editorial: Apparent Personality Analysis,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questions in Community Question,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questions in Community Question,India,India,India,20.59368400,78.96288000,edu,

 753ed4c701296fa530ae8f824a80a50900a386a8,Privacy Protection of Biometrics Evaluation Database – A Preliminary Study on Synthetic Biometric Database,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 750100f1a429d4fb3ec9639317296b6538a2a238,A sparse object category model for efficient learning and complete recognition,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 750100f1a429d4fb3ec9639317296b6538a2a238,A sparse object category model for efficient learning and complete recognition,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+75f0d2d8aae00da73e4122c712ad230cfebe7729,AMassively Parallel Face Recognition System,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+75f0d2d8aae00da73e4122c712ad230cfebe7729,AMassively Parallel Face Recognition System,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 7525e1fed92a780b6cb78190da360a3a7b611885,Data-specific concept correlation estimation for video annotation refinement,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 75fd9acf5e5b7ed17c658cc84090c4659e5de01d,Project-Out Cascaded Regression with an application to face alignment,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+75cea964884a6f5c35e2954e56fc787ed8f9662c,Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models,University of Science,"University of Science, Vietnam","227 Đường Nguyễn Văn Cừ, Phường 4, Quận 5, Hồ Chí Minh, Vietnam",10.76291300,106.68217170,edu,

 75cea964884a6f5c35e2954e56fc787ed8f9662c,Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 75cea964884a6f5c35e2954e56fc787ed8f9662c,Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 759b28cb6527f8820f1cffc3581884c5caa19091,Neighbor-Sensitive Hashing,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 759b28cb6527f8820f1cffc3581884c5caa19091,Neighbor-Sensitive Hashing,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 759b28cb6527f8820f1cffc3581884c5caa19091,Neighbor-Sensitive Hashing,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+75d571d53eb250e222d66461fa2400956b40eaa9,What Makes a Photograph Memorable?,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 75776ce56e649dda68d9a8f13a9df911662e5b79,Face Modelling and Tracking from Range Scans,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 7523ead2a91191f0ecfb88fba5c0f2deeddaa256,Generating Chinese Captions for Flickr 30 K images,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 7523ead2a91191f0ecfb88fba5c0f2deeddaa256,Generating Chinese Captions for Flickr 30 K images,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

@@ -1696,8 +2076,11 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio
 756eed9fe591cf53c7ebbaba05ceeb39b212f802,Learning to Refine Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 75ebe1e0ae9d42732e31948e2e9c03d680235c39,Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 750465b63c19e8b33743f8f446413382f0239c97,Multi-target Tracking and Segmentation via Discriminative Appearance Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+750465b63c19e8b33743f8f446413382f0239c97,Multi-target Tracking and Segmentation via Discriminative Appearance Model,China,China,China,35.86166000,104.19539700,edu,

 751223e9636f4624551b37d8891f0e06eeb64a5d,Multilinear Wavelets: A Statistical Shape Space for Human Faces,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 75fcbb01bc7e53e9de89cb1857a527f97ea532ce,"Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images",University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu,

+75fcbb01bc7e53e9de89cb1857a527f97ea532ce,"Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images",Finland,Finland,Finland,61.92411000,25.74815110,edu,

+754fa133a250d824c50b4c3b9c73975059954f41,Siamese Learning Visual Tracking: A Survey.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 75259a613285bdb339556ae30897cb7e628209fa,Unsupervised Domain Adaptation for Zero-Shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 759f7f9e4a363223dc06903ef88fed27a3a64826,Modeling and Analysis of Dynamic Behaviors of Web Image Collections,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,

 759f7f9e4a363223dc06903ef88fed27a3a64826,Modeling and Analysis of Dynamic Behaviors of Web Image Collections,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,

@@ -1708,9 +2091,15 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio
 75b1d8339085ab03f45c0316b976755b6c5da9e9,SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 75aef130afb8c862575d457db6e168e8d77ae4f0,Content-based search and browsing in semantic multimedia retrieval,University of Oulu,University 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,

 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu,

 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu,

 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu,

 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu,

+7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,India,India,India,20.59368400,78.96288000,edu,

+7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,India,India,India,20.59368400,78.96288000,edu,

 756db84f76d745211464b5686a67bfdc23e18c19,How to generate realistic images using gated MRF ’ s,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 75cc68a5d32539d481f11e2e7d37b1fc3a90e83a,An individual difference analysis of false recognition.,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 75c30403bad798381afa70f225e402ee7d84cd34,Learning to generate images with perceptual similarity metrics,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

@@ -1729,6 +2118,7 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio
 75e5a1a64d9d27dbb054fc8b8d47f0e23cbbbfa4,The importance of internal facial features in learning new faces.,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu,

 75dba0d604c1224ee48701d1419885c149b8a5c6,A feature-based structural measure : an image similarity measure for face recognition,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 7552a6dbee4a915b578453ed9f35a4c6cc114aa1,Now You Shake Me : Towards Automatic 4 D Cinema,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+75a92d92ee59555c847973a7422d7356514cde2d,Exploiting Multiple Detections for Person Re-Identification,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 75d2ecbbcc934563dff6b39821605dc6f2d5ffcc,Capturing Subtle Facial Motions in 3D Face Tracking,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 75d2ecbbcc934563dff6b39821605dc6f2d5ffcc,Capturing Subtle Facial Motions in 3D Face Tracking,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 75a54f49fccee29faca8931fa8ba700030dcaa75,Ringtail: A Generalized Nowcasting System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

@@ -1742,9 +2132,12 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio
 751e352fe52946ca3d0f51956706313ce521b658,Hierarchical power management for asymmetric multi-core in dark silicon era,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 7573ff84d71de19fe7d387bb4a6de73cb28402f4,Zero-Shot Hashing via Transferring Supervised Knowledge,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 756275128fae4ffe8389261e498f9bb49a8381b2,Designing and Testing an Anonymous Face Recognition System,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+75cf72819b8741777a961157f43d994238219f5e,Crowd Behavior Detection for Abnormal Conditions,India,India,India,20.59368400,78.96288000,edu,

 75da1df4ed319926c544eefe17ec8d720feef8c0,FDDB: A benchmark for face detection in unconstrained settings,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 75da1df4ed319926c544eefe17ec8d720feef8c0,FDDB: A benchmark for face detection in unconstrained settings,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 759f4f7601292c37e2f1c4a5a9f53075e9e355ec,Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 755416b8d2080f5d9e894130e5115a471e9d8793,Learning to Recognize Objects by Retaining Other Factors of Variation,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,

 7574f999d2325803f88c4915ba8f304cccc232d1,Transfer Learning for Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 7574f999d2325803f88c4915ba8f304cccc232d1,Transfer Learning for Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

@@ -1760,6 +2153,9 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio
 7536b6a9f3cb4ae810e2ef6d0219134b4e546dd0,Semi-Automatic Image Labelling Using Depth Information,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 750896331f6d74495037f6c8f6c821b0c50ee44e,Deconstructing the Deformable Parts Model : Do More with Less,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 ccdea57234d38c7831f1e9231efcb6352c801c55,Illumination Processing in Face Recognition 187 Illumination Processing in Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+ccdea57234d38c7831f1e9231efcb6352c801c55,Illumination Processing in Face Recognition 187 Illumination Processing in Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across MultiView Videos and under Varying Illumination , Facial Expressions",India,India,India,20.59368400,78.96288000,edu,

+ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across MultiView Videos and under Varying Illumination , Facial Expressions",India,India,India,20.59368400,78.96288000,edu,

 cc4fc9a309f300e711e09712701b1509045a8e04,Continuous Supervised Descent Method for Facial Landmark Localisation,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

 cc4fc9a309f300e711e09712701b1509045a8e04,Continuous Supervised Descent Method for Facial Landmark Localisation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 cc4fc9a309f300e711e09712701b1509045a8e04,Continuous Supervised Descent Method for Facial Landmark Localisation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

@@ -1767,6 +2163,7 @@ cc3ef62b4a7eb6c4e45302deb89df2e547b6efcc,Creating Picture Legends for Group Phot
 cc94b423c298003f0f164e63e63177d443291a77,Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 cc2cf8f69cd2d16c9bee2bb6c598548e7ff7cb05,Unsupervised Learning of Invariant Representations in Visual Cortex ( and in Deep Learning Architectures ),McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu,

 cc2cf8f69cd2d16c9bee2bb6c598548e7ff7cb05,Unsupervised Learning of Invariant Representations in Visual Cortex ( and in Deep Learning Architectures ),MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+cc2cf8f69cd2d16c9bee2bb6c598548e7ff7cb05,Unsupervised Learning of Invariant Representations in Visual Cortex ( and in Deep Learning Architectures ),Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 ccf413e4a730ee228769c82a8af1fddc2857fbe8,Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 cc200b665f6c446747a48d01e89f6b1e7d7781d4,Face Recognition in Mobile Devices,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 cc2eaa182f33defbb33d69e9547630aab7ed9c9c,Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -1779,26 +2176,36 @@ cc70f4af018de5e5bdc8075dbdf1bbe49a6f0b4a,Generative adversarial network-based sy
 ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,China,China,China,35.86166000,104.19539700,edu,

 ccc57280e2c50381a692a67ed53124ad1b735686,Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 ccb9ffa26b28dffc4f7d613821d1a9f0d60ea3f4,Online Adaptation of Convolutional Neural Networks for Video Object Segmentation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+cc8e378fd05152a81c2810f682a78c5057c8a735,Expression Invariant Face Recognition System based on Topographic Independent Component Analysis and Inner Product Classifier,India,India,India,20.59368400,78.96288000,edu,

 ccd126c1337d29e3bd366579549fa4dc04443fed,Efficient 3D Tracking in Urban Environments with Semantic Segmentation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 ccf16bcf458e4d7a37643b8364594656287f5bfc,Cascade for Landmark Guided Semantic Part Segmentation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b,Nutraceuticals and Cosmeceuticals for Human Beings – An Overview,India,India,India,20.59368400,78.96288000,edu,

 ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c,Symmetrical Two-Dimensional PCA with Image Measures in Face Recognition Regular Paper,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c,Symmetrical Two-Dimensional PCA with Image Measures in Face Recognition Regular Paper,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+cc5d91b20c8769d1f040ff9a5166f76cc19d2d55,Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu,

+cc5d91b20c8769d1f040ff9a5166f76cc19d2d55,Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu,

 cc7e66f2ba9ac0c639c80c65534ce6031997acd7,Facial Descriptors for Identity-Preserving Multiple People Tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1,"MonoPerfCap : Human Performance Capture from Monocular Video WEIPENGXU , AVISHEKCHATTERJEE , MICHAELZOLLHÖFER , HELGERHODIN , DUSHYANTMEHTA",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 cceab479d37060b0952439d9bd6fbbba5de1d550,VizWiz Grand Challenge: Answering Visual Questions from Blind People,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f,Generation with Recursive Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 ccebecf0e24f76262d85f55712010632ea04c0af,Stepwise Nearest Neighbor Discriminant Analysis,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18,A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+cc2df3a03ee731478ed48838c284ad4548563308,Towards a Better Metric for Evaluating Question Generation Systems,"IIT Madras, India","IIT Madras, India","Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India",12.99149290,80.23369070,edu,

 cc353489ceaba1f58bd44f54316bc8319eba5fb9,Program Synthesis from Visual Specification,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 cc38942825d3a2c9ee8583c153d2c56c607e61a7,Database Cross Matching: A Novel Source of Fictitious Forensic Cases,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 cc9057d2762e077c53e381f90884595677eceafa,On the Exploration of Joint Attribute Learning for Person Re-identification,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 ccd3dcbccae7d903608530bddf6381db8e723a7d,Unsupervised Domain Adaptation for Semantic Segmentation with GANs,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 ccd3dcbccae7d903608530bddf6381db8e723a7d,Unsupervised Domain Adaptation for Semantic Segmentation with GANs,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

+cc392ab1cfaee298e05488a4a1d84ece12220880,A new multi-scale fuzzy model for Histogram-Based Descriptors,China,China,China,35.86166000,104.19539700,edu,

 ccc65463198ee0a0db9b303a3dc903c762dbccaa,Adaptive Selection of Deep Learning Models on Embedded Systems,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 ccc65463198ee0a0db9b303a3dc903c762dbccaa,Adaptive Selection of Deep Learning Models on Embedded Systems,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

+cc31db984282bb70946f6881bab741aa841d3a7c,Learning Grimaces by Watching TV,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 cc589c499dcf323fe4a143bbef0074c3e31f9b60,A 3D facial expression database for facial behavior research,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu,

 ccdf24d85fc14b4710dcee268355548f166ba870,Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+ccdf24d85fc14b4710dcee268355548f166ba870,Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters,China,China,China,35.86166000,104.19539700,edu,

 ccdf24d85fc14b4710dcee268355548f166ba870,Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters,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,

 cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Controlled Privacy,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Controlled Privacy,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

@@ -1810,6 +2217,7 @@ cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Contro
 9507b1a7af5442f8c247451a63400893de34d9f9,Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu,

 950171acb24bb24a871ba0d02d580c09829de372,Speeding up 2 D-Warping for Pose-Invariant Face Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,China,China,China,35.86166000,104.19539700,edu,

 95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 9530be236c0bf9c32d39ff35571a496cbd266e01,Face Recognition in the Thermal Infrared Spectrum,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

@@ -1826,20 +2234,31 @@ cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Contro
 9534a04de5e99a44df76ea30140f66a62e83fdaa,Iteratively Trained Interactive Segmentation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,China,China,China,35.86166000,104.19539700,edu,

+95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,China,China,China,35.86166000,104.19539700,edu,

 959f28afa9502099cf0e8ede036ec2e19e4e5232,"Face Recognition Using 2 D , 3 D and Infra-Red : Is Multi-modal Better Than Multi-sample ?",University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 95debf4c4f88d48a71bae9bfea4032355805aa2f,Bounding the Probability of Error for High Precision Optical Character Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 95debf4c4f88d48a71bae9bfea4032355805aa2f,Bounding the Probability of Error for High Precision Optical Character Recognition,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,

 95debf4c4f88d48a71bae9bfea4032355805aa2f,Bounding the Probability of Error for High Precision Optical Character Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

+9595a267de2b0ecf7e4e2962a606c8854551e203,On the Relation between Color Image Denoising and Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 95616c511e1eada5c4fba090fe739a4554711e22,Lip Contour Localization using Statistical Shape Models,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+956c634343e49319a5e3cba4f2bd2360bdcbc075,A novel incremental principal component analysis and its application for face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+95ace502ba23a8a5543b882937de23b892112cca,Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

+951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

 95f74ce5a69fdcd2abda908724d2ab4977e72100,Using Syntax to Ground Referring Expressions in Natural Images,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,

 95d567081510e8e59834febc958668015c174602,Combining Gabor features: summing vs. voting in human face recognition,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,

 95896eef75a5fc6c8a7ac2531e76c423d678d2e7,Image Generation from Sketch Constraint Using Contextual GAN,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 95896eef75a5fc6c8a7ac2531e76c423d678d2e7,Image Generation from Sketch Constraint Using Contextual GAN,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c,Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks,India,India,India,20.59368400,78.96288000,edu,

 95df7770a5036c87104df23f333aa05e67723cdc,DeepDiary: Automatically Captioning Lifelogging Image Streams,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,China,China,China,35.86166000,104.19539700,edu,

 95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 95a0c9f41d0cc6f45853d616d5476b8aee54ff0a,Deep Variational Inference Without Pixel-Wise Reconstruction,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+954909051c1d7d5a8ba885f1c09afe04c8aab0fb,IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu,

+954909051c1d7d5a8ba885f1c09afe04c8aab0fb,IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 95cfe8da0d8225c8f6304713719846a7716894cf,Integrating Perception and Cognition for AGI,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,

 95cfe8da0d8225c8f6304713719846a7716894cf,Integrating Perception and Cognition for AGI,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 95cfe8da0d8225c8f6304713719846a7716894cf,Integrating Perception and Cognition for AGI,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,

@@ -1849,23 +2268,30 @@ cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Contro
 95a3af61b398976c13d96baa32481e1bf4a31984,Geometric Enclosing Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu,

 95a3af61b398976c13d96baa32481e1bf4a31984,Geometric Enclosing Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu,

 954af3d46d023d73c7ee97f2264451080f542084,The Interplay between Emotion and Cognition in Autism Spectrum Disorder: Implications for Developmental Theory,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+95fb31beaa745557fa33ec4f670ab4e130ff5bf4,Speeding up spatial approximation search in metric spaces,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 9507e5c59c45e68b964fdaf40e39569dcc754be3,Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 956466b5c3036ada2e18f8f7c1b7bf0650779d08,Learning patch-dependent kernel forest for person re-identification,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 956d6e48598cac9aa6129a87a7f8cdb634917aa1,R 2 SDH : Robust Rotated Supervised Discrete Hashing,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 951b133220921ce04e9da9d189077124be2b9af1,Face Recognition from Sequential Sparse 3D data via Deep Registration,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 95f12d27c3b4914e0668a268360948bce92f7db3,Interactive Facial Feature Localization,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 95f26d1c80217706c00b6b4b605a448032b93b75,New Robust Face Recognition Methods Based on Linear Regression,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+95f26d1c80217706c00b6b4b605a448032b93b75,New Robust Face Recognition Methods Based on Linear Regression,China,China,China,35.86166000,104.19539700,edu,

 c8da81fb5551941295ad815051d39dc461008751,Hybrid forests for left ventricle segmentation using only the first slice label,Moulay Ismail University,Moulay Ismail University,"Marjane 2, BP: 298، Meknes 50050, Morocco",33.85611100,-5.57439100,edu,Moulay Ismail University

 c89ddb0e978b78c062fbf9ea992da83e4b38778e,2D and 3D Multimodal Hybrid Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+c86e6ed734d3aa967deae00df003557b6e937d3d,Generative Adversarial Networks with Decoder-Encoder Output Noise,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c8d15a58794e4b383424d2d057a518689a278b8d,Field Effect Deep Networks for Image Recognition with Incomplete Data,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 c8d15a58794e4b383424d2d057a518689a278b8d,Field Effect Deep Networks for Image Recognition with Incomplete Data,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 c8d15a58794e4b383424d2d057a518689a278b8d,Field Effect Deep Networks for Image Recognition with Incomplete Data,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 c87d5036d3a374c66ec4f5870df47df7176ce8b9,Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+c87d5036d3a374c66ec4f5870df47df7176ce8b9,Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+c87d5036d3a374c66ec4f5870df47df7176ce8b9,Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 c8a5c5c8e1293b7e877a848b7a9e5426c5400651,FaceShop: Deep Sketch-based Face Image Editing,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 c88ce5ef33d5e544224ab50162d9883ff6429aa3,Face Match for Family Reunification: Real-World Face Image Retrieval,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu,

 c88173aac29baa13d615c5be858290a14f0493c9,INNS Conference on Big Data Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 c8dc902b82831e1f1b587c590cdc34b5d12bdc5c,DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 c8b4df94686ae4d308e859eddc0e00921a17fe75,GraphBit : Bitwise Interaction Mining via Deep Reinforcement Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+c8b4df94686ae4d308e859eddc0e00921a17fe75,GraphBit : Bitwise Interaction Mining via Deep Reinforcement Learning,China,China,China,35.86166000,104.19539700,edu,

+c8b4df94686ae4d308e859eddc0e00921a17fe75,GraphBit : Bitwise Interaction Mining via Deep Reinforcement Learning,China,China,China,35.86166000,104.19539700,edu,

 c8671a739a95f57946a625c3eada1f4addc60aea,Transferable Interactiveness Prior for Human-Object Interaction Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 c8e20a4981e907c77ccbfe6ae39673aa43249f41,Neuromorphic Hardware Accelerated Adaptive Authentication System,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 c817c3a0acfc49f7eca0e9855b550e242aa0a6d5,Generalized Zero-Shot Learning with Deep Calibration Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -1874,10 +2300,15 @@ c8c714c100a754baf7d86d240ec35207fcf84b06,Person Re-identification Meets Image Se
 c8c714c100a754baf7d86d240ec35207fcf84b06,Person Re-identification Meets Image Search.,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 c8829013bbfb19ccb731bd54c1a885c245b6c7d7,Flexible Template and Model Matching Using Image Intensity,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c87035f4b5cdb8597db20e9dc319c2a06d752197,Learning Latent Subspaces in Variational Autoencoders,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,China,China,China,35.86166000,104.19539700,edu,

+c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,China,China,China,35.86166000,104.19539700,edu,

+c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,China,China,China,35.86166000,104.19539700,edu,

 c84b2cda2d645475f25d8b8f34b8f21ad3aa059c,HUMAN FACE DETECTION AND EYE LOCALIZATION IN VIDEO USING WAVELETS,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 c8e438dbfbd6c2d04a3b4df2fb6796e6d279290e,Gated-Dilated Networks for Lung Nodule Classification in CT scans,Monash University Malaysia,Monash University Malaysia,"Monash University Malaysia, Jalan Lagoon Selatan, Kampung Lembah Kinrara, SS13, Subang Jaya, Selangor, 47500, Malaysia",3.06405715,101.60059740,edu,

 c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu,

+c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,China,China,China,35.86166000,104.19539700,edu,

+c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,"Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, Beijing, China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu,

+c84233f854bbed17c22ba0df6048cbb1dd4d3248,Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes,India,India,India,20.59368400,78.96288000,edu,

 c85340a0d428ff0b47f1a4d92fc92157cb7664f0,"Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features",Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 c85340a0d428ff0b47f1a4d92fc92157cb7664f0,"Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features",Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 c8a865aba30ece776367dc32c79ded3c263312f5,University of Groningen Deep Colorization for Facial Gender Recognition,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

@@ -1885,6 +2316,9 @@ c8c83ab64d99b16ef3248cbeccc95f7049e324d5,Nearest Prime Simplicial Complex for Ob
 c8c83ab64d99b16ef3248cbeccc95f7049e324d5,Nearest Prime Simplicial Complex for Object Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd,Track Facial Points in Unconstrained Videos,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 c87f7ee391d6000aef2eadb49f03fc237f4d1170,A real-time and unsupervised face Re-Identification system for Human-Robot Interaction,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,

+c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu,

+c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu,

+c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu,

 c8c5944ec503744304e026284182fce26d74cd92,Pose Guided Visual Attention for Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 c8e84cdff569dd09f8d31e9f9ba3218dee65e961,Dictionaries for image and video-based face recognition [Invited].,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 c8e84cdff569dd09f8d31e9f9ba3218dee65e961,Dictionaries for image and video-based face recognition [Invited].,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

@@ -1895,7 +2329,7 @@ c8663b8d0d8cdbbbb3e9a5b7e46bc33b3eac96a7,Structural Recurrent Neural Network (SR
 c8663b8d0d8cdbbbb3e9a5b7e46bc33b3eac96a7,Structural Recurrent Neural Network (SRNN) for Group Activity Analysis,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 c86ce9fc2bd5aea98869cf1f31d03e05e7ec672c,FOIL it! Find One mismatch between Image and Language caption,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 c88c21eb9a8e08b66c981db35f6556f4974d27a8,Attribute Learning using Joint Human and Machine Computation,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,

-c88c21eb9a8e08b66c981db35f6556f4974d27a8,Attribute Learning using Joint Human and Machine Computation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c88c21eb9a8e08b66c981db35f6556f4974d27a8,Attribute Learning using Joint Human and Machine Computation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c8a22550297a25dadd283089f009015bc0df5eed,Neural circuits in the brain that are activated when mitigating criminal sentences,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 c8be6a59b1c29a1a44a0792985baf365298123e2,Visual Surveillance on DSP-Based Embedded Platforms Clemens,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f,Towards Deep Cellular Phenotyping in Placental Histology,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -1911,6 +2345,8 @@ c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd,High Resolution Face Completion with Mu
 c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd,High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

 c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd,High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

 c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

+c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,India,India,India,20.59368400,78.96288000,edu,

+c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,India,India,India,20.59368400,78.96288000,edu,

 690f5d35489c63ec7309b9e4d77c929815065257,Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.,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,

 690f5d35489c63ec7309b9e4d77c929815065257,Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.,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,

 690f5d35489c63ec7309b9e4d77c929815065257,Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.,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,

@@ -1919,9 +2355,12 @@ c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"Unive
 69b5dd48d0f6f95f4dba5ad8b35b51de446b632f,MGGAN: Solving Mode Collapse using Manifold Guided Training,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 690ef94605f63fd0094beff056521b117430ee6c,Designing a smart card face verification system,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 690ef94605f63fd0094beff056521b117430ee6c,Designing a smart card face verification system,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+69063f7e0a60ad6ce16a877bc8f11b59e5f7348e,Class-Specific Image Deblurring,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 695733af422d3cea7ae8ab4468fe2f741cda46c8,Learning with power l 1-graph for single labeled image biometric recognition,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu,

+6960bfc668aad1b537fbf3f1b48328e7d440b80b,Fully Automatic Recognition of the Temporal Phases of Facial Actions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 694d831156293642e63103cd1921eed37e77a68f,Detection of Multiple Pedestrians using Motion Information and Adaboost Algorithm,Yeungnam University,Yeungnam University,"영남대, 대학로, 부적리, 경산시, 경북, 712-749, 대한민국",35.83654030,128.75343090,edu,

 697afaded9d96fece5e5693c80085a3f099ddc64,Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

+6903496ee5d4c24ca5f3f18211f406e0ba8442d6,Multi-Mapping Image-to-Image Translation with Central Biasing Normalization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 69522bd70f1c64e9073753ccf335382be5aa1cd9,GEOMETRIC FEATURE BASED AGE CLASSIFICATION USING FACIAL IMAGES,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 69522bd70f1c64e9073753ccf335382be5aa1cd9,GEOMETRIC FEATURE BASED AGE CLASSIFICATION USING FACIAL IMAGES,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 69ad645516fa5cd4cd45fc217edcbf83bc0f65be,Multi-camera People Tracking with Hierarchical Likelihood Grids,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

@@ -1934,26 +2373,35 @@ c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"Unive
 693e0da15094071de5eebd2f36f8b4023f91f161,Can facial metrology predict gender?,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 691463f3f7acb0502e21b40958c1ecdee16d1fe0,Adaptive Markov Random Fields for Example-Based Super-resolution of Faces,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,

 697f0e24f24b016cef9474db485fe61a667f07b8,VISER: Visual Self-Regularization,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,China,China,China,35.86166000,104.19539700,edu,

 6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,China,China,China,35.86166000,104.19539700,edu,

+69a55c30c085ad1b72dd2789b3f699b2f4d3169f,Automatic Happiness Strength Analysis of a Group of People using Facial Expressions,India,India,India,20.59368400,78.96288000,edu,

 697e6552326bc04a80b510f91e3a83c23159fa4b,Are You Talking to Me ? Detecting Attention in First-Person Interactions,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab,"A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition",Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab,"A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab,"A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc,Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 69a7c8bca699ee4100fbe6a83b72459c132a6f10,Aware Person Re-identification across Multiple Resolutions,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 696d114f57aa6798a5d16aaf847a78942ab9949f,Efficient Similarity Derived from Kernel-Based Transition Probability,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 69556424ec4daaa2b932790dba7bc8b826abc574,"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow","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,

 69291d44eb4fdf848a06defe99a74cb75026c70b,Automatic Detection of a Driver's Complex Mental States,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 69291d44eb4fdf848a06defe99a74cb75026c70b,Automatic Detection of a Driver's Complex Mental States,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+69c8b0ec77d3164df2069a5133780a36ec8e91ad,Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 69fb98e11df56b5d7ec7d45442af274889e4be52,Harnessing the Deep Net Object Models for Enhancing Human Action Recognition,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

 69fb98e11df56b5d7ec7d45442af274889e4be52,Harnessing the Deep Net Object Models for Enhancing Human Action Recognition,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 696bfa059fcc459c30af21c84d116ad77fb11197,Isoradius Contours: New Representations and Techniques for 3D Face Registration and Matching,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 6926676e0b710717e373926e1302bfb441c5c503,Fisher Non-negative Matrix Factorization with Pairwise Weighting,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

-69870df2c7a6d2e2bfef201968aecd24eb18794d,We are Humor Beings: Understanding and Predicting Visual Humor,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

+69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

+69870df2c7a6d2e2bfef201968aecd24eb18794d,We are Humor Beings: Understanding and Predicting Visual Humor,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 691964c43bfd282f6f4d00b8b0310c554b613e3b,Temporal Hallucinating for Action Recognition with Few Still Images,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 6964af90cf8ac336a2a55800d9c510eccc7ba8e1,Temporal Relational Reasoning in Videos,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 69adbfa7b0b886caac15ebe53b89adce390598a3,Face hallucination using cascaded super-resolution and identity priors,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 69adbfa7b0b886caac15ebe53b89adce390598a3,Face hallucination using cascaded super-resolution and identity priors,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis : An Efficient Facial Feature Extraction Technique,India,India,India,20.59368400,78.96288000,edu,

+695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis : An Efficient Facial Feature Extraction Technique,India,India,India,20.59368400,78.96288000,edu,

 6993bca2b3471f26f2c8a47adfe444bfc7852484,The Do’s and Don’ts for CNN-Based Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 69c2ac04693d53251500557316c854a625af84ee,"years of biometric research : Accomplishments , challenges , and opportunities ✩",Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 69eb6c91788e7c359ddd3500d01fb73433ce2e65,RAPH : Distributed Graph Processing for Camera Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -1972,6 +2420,7 @@ c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"Unive
 69e054acbf09a4bebac1c4b14c3f6a1ac6d199b0,Can feature-based inductive transfer learning help person re-identification?,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 699797728e0e88f9821647dee2c40b86931c1f77,Online Multi-target Tracking with Strong and Weak Detections,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 6941b32d99ddf46e9ccea39a5a32d2133801fabb,Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+6941b32d99ddf46e9ccea39a5a32d2133801fabb,Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu,

 6941b32d99ddf46e9ccea39a5a32d2133801fabb,Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 d5b0e73b584be507198b6665bcddeba92b62e1e5,Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation,Macau University of Science and Technology,Macau University of Science and Technology,"Universidade de Ciência e Tecnologia de Macau 澳門科技大學 Macau University of Science and Technology, 偉龍馬路 Avenida Wai Long, 氹仔Taipa, 氹仔舊城區 Vila de Taipa, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, 澳門 Macau, 853, 中国",22.15263985,113.56803206,edu,

 d5b0e73b584be507198b6665bcddeba92b62e1e5,Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -1979,6 +2428,7 @@ d5b0e73b584be507198b6665bcddeba92b62e1e5,Multi-Region Ensemble Convolutional Neu
 d5afd7b76f1391321a1340a19ba63eec9e0f9833,Statistical Analysis of Human Facial Expressions,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 d5afd7b76f1391321a1340a19ba63eec9e0f9833,Statistical Analysis of Human Facial Expressions,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 d58f1d2fc5ea941253ff71aac7683fd3909cc71f,A Unified Framework of Subspace and Distance Metric Learning for Face Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+d58f1d2fc5ea941253ff71aac7683fd3909cc71f,A Unified Framework of Subspace and Distance Metric Learning for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 d56c5f0a23ecef2eeaad1b882829d709fa172632,A Temporally-Aware Interpolation Network for Video Frame Inpainting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 d5440779ca69a2f010e57250f53a9be0116305e3,Emotional face expression modulates occipital-frontal effective connectivity during memory formation in a bottom-up fashion,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu,

 d5440779ca69a2f010e57250f53a9be0116305e3,Emotional face expression modulates occipital-frontal effective connectivity during memory formation in a bottom-up fashion,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu,

@@ -1988,6 +2438,12 @@ d5440779ca69a2f010e57250f53a9be0116305e3,Emotional face expression modulates occ
 d5820ce33563f44f0c3127d46654a2b48aac12cc,Tree Memory Networks for modelling long-term temporal dependencies,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 d5820ce33563f44f0c3127d46654a2b48aac12cc,Tree Memory Networks for modelling long-term temporal dependencies,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 d5375f51eeb0c6eff71d6c6ad73e11e9353c1f12,Manifold Ranking-Based Locality Preserving Projections,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

+d5375f51eeb0c6eff71d6c6ad73e11e9353c1f12,Manifold Ranking-Based Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu,

+d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image q,China,China,China,35.86166000,104.19539700,edu,

+d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image q,China,China,China,35.86166000,104.19539700,edu,

+d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,India,India,India,20.59368400,78.96288000,edu,

+d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,India,India,India,20.59368400,78.96288000,edu,

+d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,India,India,India,20.59368400,78.96288000,edu,

 d5525d00bc2099700711751e33f0fae9a58577ca,Beyond Holistic Object Recognition: Enriching Image Understanding with Part States,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d589e218cc3f1b10e77d272cca5df3525e06fc95,Multi-View Image Generation from a Single-View,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

 d589e218cc3f1b10e77d272cca5df3525e06fc95,Multi-View Image Generation from a Single-View,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -1996,20 +2452,24 @@ d56b65d0f65afdfdc217c880e9c8fdcafb23bfbe,Face Image Relighting using Locally Con
 d561f8bb5d09e47348c86b40b5f6e4fe524fed36,Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 d561f8bb5d09e47348c86b40b5f6e4fe524fed36,Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 d58c44bd9b464d9ac1db1344445c31364925f75a,TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+d58c44bd9b464d9ac1db1344445c31364925f75a,TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 d522d63e0e8bdbee314b45085baf40caa08fd6b1,Survey of Hashing Techniques for Compact Bit Representations of Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 d5607567305b690f914fe8b043f3ca48aed57fc9,A Fast Face Detection Method via Convolutional Neural Network,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 d5f1886482893adf2f61e3b344d5483c86792ab5,A Study of Face Recognition as People Age,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 d5f1886482893adf2f61e3b344d5483c86792ab5,A Study of Face Recognition as People Age,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 d5fa9d98c8da54a57abf353767a927d662b7f026,Age Estimation based on Neural Networks using Face Features,"Islamic University of Gaza, Palestine",Islamic University of Gaza - Palestine,"The Islamic University of Gaza, Mostafa Hafez Street, South Remal, محافظة غزة, ‏قطاع غزة‎, PO BOX 108, الأراضي الفلسطينية",31.51368535,34.44019341,edu,

 d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,China,China,China,35.86166000,104.19539700,edu,

 d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,"German Aerospace Center (DLR), Germany","German Aerospace Center (DLR), Germany","Linder Höhe, 51147 Köln, Germany",50.85502400,7.11949760,edu,

+d5cdcaa19a62e3cb97da013555b99fe35e724e38,Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d5d472266aae563010e12ae90fe5fe6f3c484cba,Demystifying MMD GANs,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,

 d5d472266aae563010e12ae90fe5fe6f3c484cba,Demystifying MMD GANs,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 d5795049ff374404231e4d0aaa7725c2afcc73c3,Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 d517b13f2b152c913b81ce534a149493517dbdad,Big Data Deep Learning: Challenges and Perspectives,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,

 d517b13f2b152c913b81ce534a149493517dbdad,Big Data Deep Learning: Challenges and Perspectives,Oakland University,Oakland University,"Oakland University, 201, Meadow Brook Road, Rochester Hills, Oakland County, Michigan, 48309-4401, USA",42.66663325,-83.20655752,edu,

 f2c30594d917ea915028668bc2a481371a72a14d,Scene Understanding Using Internet Photo Collections,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

-f2653257faa6d1b718a4cff004f4c7ad66d89c55,Advances in deep learning approaches for image tagging,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+f2653257faa6d1b718a4cff004f4c7ad66d89c55,Advances in deep learning approaches for image tagging,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 f24e379e942e134d41c4acec444ecf02b9d0d3a9,Analysis of Facial Images across Age Progression by Humans,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 f24e379e942e134d41c4acec444ecf02b9d0d3a9,Analysis of Facial Images across Age Progression by Humans,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 f24e379e942e134d41c4acec444ecf02b9d0d3a9,Analysis of Facial Images across Age Progression by Humans,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

@@ -2022,18 +2482,23 @@ f27b8b8f2059248f77258cf8595e9434cf0b0228,Deep Alignment Network: A Convolutional
 f22d6d59e413ee255e5e0f2104f1e03be1a6722e,Lattice Long Short-Term Memory for Human Action Recognition,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 f22d6d59e413ee255e5e0f2104f1e03be1a6722e,Lattice Long Short-Term Memory for Human Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 f22d6d59e413ee255e5e0f2104f1e03be1a6722e,Lattice Long Short-Term Memory for Human Action Recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

+f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,Pennsylvania State University,Pennsylvania State University,,,,edu,

+f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,Pennsylvania State University,Pennsylvania State University,,,,edu,

 f27bdc4f7ec2006425f999055df071d64640836e,Preserved Crossmodal Integration of Emotional Signals in Binge Drinking,Universitat de València,Universitat de València,"Campus dels Tarongers, Plaza de Manuel Broseta i Pont, Ciutat Jardí, Algirós, València, Comarca de València, València / Valencia, Comunitat Valenciana, 46022, España",39.47787665,-0.34257711,edu,

 f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu,

 f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

+f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f2da70f632db70eb42cf5bc5e2428f4bc53909ad,Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 f2da70f632db70eb42cf5bc5e2428f4bc53909ad,Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f2da70f632db70eb42cf5bc5e2428f4bc53909ad,Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f2843da00dc202eb8748b1b690f7b5dd0849af20,Regularized Bayesian Metric Learning for Person Re-identification,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

 f2843da00dc202eb8748b1b690f7b5dd0849af20,Regularized Bayesian Metric Learning for Person Re-identification,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

+f2843da00dc202eb8748b1b690f7b5dd0849af20,Regularized Bayesian Metric Learning for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 f2ad9b43bac8c2bae9dea694f6a4e44c760e63da,A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 f2ad9b43bac8c2bae9dea694f6a4e44c760e63da,A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu,

 f2b5177d7c4f568295f6c2b9e02078e36d9ed286,Challenges on Large Scale Surveillance Video Analysis,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

@@ -2043,6 +2508,8 @@ f2b5177d7c4f568295f6c2b9e02078e36d9ed286,Challenges on Large Scale Surveillance
 f257300b2b4141aab73f93c146bf94846aef5fa1,Eigen Evolution Pooling for Human Action Recognition,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 f2977284cc3c6653df957d886101cc485de1a9f9,Learning robust objective functions with application to face model fitting,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu,

 f2977284cc3c6653df957d886101cc485de1a9f9,Learning robust objective functions with application to face model fitting,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

+f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,India,India,India,20.59368400,78.96288000,edu,

+f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,India,India,India,20.59368400,78.96288000,edu,

 f22b157fb9f9963b21a82860cb47585556bd79d5,3 D GLOH Features for Human Action Recognition,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 f22b157fb9f9963b21a82860cb47585556bd79d5,3 D GLOH Features for Human Action Recognition,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 f22b157fb9f9963b21a82860cb47585556bd79d5,3 D GLOH Features for Human Action Recognition,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

@@ -2062,12 +2529,14 @@ f2e9616577a0eb866e78e6fd68c67809e4fce11c,Digital innovations in L 2 motivation :
 f254cbfe9710de5e41589f8b7898112b06872ed2,DenseNet : Implementing Efficient ConvNet Descriptor Pyramids Technical Report,"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,

 f2cbdd5f24c2d6a4f33734636cc220f0825042f0,Dual-Glance Model for Deciphering Social Relationships,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 f2cbdd5f24c2d6a4f33734636cc220f0825042f0,Dual-Glance Model for Deciphering Social Relationships,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+f2cbdd5f24c2d6a4f33734636cc220f0825042f0,Dual-Glance Model for Deciphering Social Relationships,"Minneapolis, USA","Minneapolis, USA","Minneapolis, MN, USA",44.97775300,-93.26501080,edu,

 f22a8c28a6de723e5451ce577a3ef8dfb26f5e2a,A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 f2eb8b38e5366dd98350af304c678c42d858017c,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 f2eb8b38e5366dd98350af304c678c42d858017c,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 f23114073e0e513b1c1c55e8777bda503721718c,Dissimilarity Coefficient based Weakly Supervised Object Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9,PQk-means: Billion-scale Clustering for Product-quantized Codes,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-２ Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu,

 c320243eed20d89a9bfe7334e2adf1e6a16322b2,COUPLING RISK ATTITUDE AND MOTION DATA MINING IN A PREEMTIVE CONSTRUCTION SAFETY FRAMEWORK,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

+c32383330df27625592134edd72d69bb6b5cff5c,Intrinsic Illumination Subspace for Lighting Insensitive Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c37c3853ab428725f13906bb0ff4936ffe15d6af,Unsupervised Person Re-identification by Deep Learning Tracklet Association,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 c37c3853ab428725f13906bb0ff4936ffe15d6af,Unsupervised Person Re-identification by Deep Learning Tracklet Association,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 c32e20258189aacb38b11f854fe4869ba239605c,Image Patch Matching Using Convolutional Descriptors with Euclidean Distance,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

@@ -2100,7 +2569,7 @@ c3558f67b3f4b618e6b53ce844faf38240ee7cd7,Collaboratively Weighting Deep and Clas
 c3558f67b3f4b618e6b53ce844faf38240ee7cd7,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 c3558f67b3f4b618e6b53ce844faf38240ee7cd7,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu,

 c34787b4708b34742774ba3abba8ace39c6b9052,Input Image : Smile Intensity Generated Responses : Input Question : Input,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

-c34787b4708b34742774ba3abba8ace39c6b9052,Input Image : Smile Intensity Generated Responses : Input Question : Input,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c34787b4708b34742774ba3abba8ace39c6b9052,Input Image : Smile Intensity Generated Responses : Input Question : Input,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c37b5c43b58f2810bba78fcf2251d5b631428b48,Grounding affect recognition on a low-level description of body posture,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c37b5c43b58f2810bba78fcf2251d5b631428b48,Grounding affect recognition on a low-level description of body posture,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c3e1ab13bb3c64ed129e286cec17465fc6bff0e1,Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -2112,6 +2581,9 @@ c3e1ab13bb3c64ed129e286cec17465fc6bff0e1,Neural Networks for Efficient Bayesian
 c3e1ab13bb3c64ed129e286cec17465fc6bff0e1,Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 c394a5dfe5bea5fbab4c2b6b90d2d03e01fb29c0,Person Reidentification and Recognition in Video,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 c30982d6d9bbe470a760c168002ed9d66e1718a2,Multi-camera head pose estimation using an ensemble of exemplars,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,

+c3d60c8b1dff411982ccd8875496f1e74d2cefc4,Multi-view X-ray R-CNN,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,India,India,India,20.59368400,78.96288000,edu,

+c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaze Estimation,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaze 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,

 c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaze Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -2122,26 +2594,37 @@ c39ef5554b9964f578572d403522380e95802650,Generative mixture of networks,Universi
 c39ef5554b9964f578572d403522380e95802650,Generative mixture of networks,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 c3f5cf5594e66dbbeb1af72ddfe7d5e24a4f56c0,Learning-Based Run-Time Power and Energy Management of Multi/Many-Core Systems: Current and Future Trends,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 c3f5cf5594e66dbbeb1af72ddfe7d5e24a4f56c0,Learning-Based Run-Time Power and Energy Management of Multi/Many-Core Systems: Current and Future Trends,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0,A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 c3cdf580a667a7b91191bbe149cd27b2054cbc43,R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 c3cdf580a667a7b91191bbe149cd27b2054cbc43,R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

 c3cdf580a667a7b91191bbe149cd27b2054cbc43,R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee,Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c146aa6d56233ce700032f1cb179700778557601,3D Morphable Models as Spatial Transformer Networks,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 c146aa6d56233ce700032f1cb179700778557601,3D Morphable Models as Spatial Transformer Networks,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 c1f07ec629be1c6fe562af0e34b04c54e238dcd1,A Novel Facial Feature Localization Method Using Probabilistic-like Output *,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

+c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,India,India,India,20.59368400,78.96288000,edu,

+c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,India,India,India,20.59368400,78.96288000,edu,

 c180f22a9af4a2f47a917fd8f15121412f2d0901,Facial Expression Recognition by ICA with Selective Prior,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu,

 c19b5cce6c542380ba3bd05fb128918499428914,PCN: Part and Context Information for Pedestrian Detection with CNNs,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 c1980e5d5c998ddec31cda9da148c354406a5eca,Jointly Optimizing 3D Model Fitting and Fine-Grained Classification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 c1980e5d5c998ddec31cda9da148c354406a5eca,Jointly Optimizing 3D Model Fitting and Fine-Grained Classification,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

+c16bae6b2e578df2cba8e436e02bdeda281c2743,Tensor Discriminant Color Space for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c16479cfa79fe9996ca16fc30add9099815abb04,Robust Face Recognition after Plastic Surgery Using Local Region Analysis,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 c17a332e59f03b77921942d487b4b102b1ee73b6,Learning an appearance-based gaze estimator from one million synthesised images,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 c17a332e59f03b77921942d487b4b102b1ee73b6,Learning an appearance-based gaze estimator from one million synthesised images,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,

 c17a332e59f03b77921942d487b4b102b1ee73b6,Learning an appearance-based gaze estimator from one million synthesised images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 c10b0a6ba98aa95d740a0d60e150ffd77c7895ad,Deep fisher faces,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+c11c89e303a6b46de324efa01a0f749b4246c516,A Novel Approach to Design a Customized Image Editor and Real-Time Control of Hand-Gesture Mimicking Robotic Movements on an IRobot Create,India,India,India,20.59368400,78.96288000,edu,

+c11c89e303a6b46de324efa01a0f749b4246c516,A Novel Approach to Design a Customized Image Editor and Real-Time Control of Hand-Gesture Mimicking Robotic Movements on an IRobot Create,India,India,India,20.59368400,78.96288000,edu,

 c11c89e303a6b46de324efa01a0f749b4246c516,A Novel Approach to Design a Customized Image Editor and Real-Time Control of Hand-Gesture Mimicking Robotic Movements on an IRobot Create,Oklahoma State University,Oklahoma State University,"Walmart East Bus Stop, East Virginia Avenue, Stillwater, Payne County, Oklahoma, 74075, USA",36.12447560,-97.05004383,edu,

 c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,China,China,China,35.86166000,104.19539700,edu,

 c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

-c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

+c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

 c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

@@ -2152,6 +2635,7 @@ c1d1b1197667facd360196059796ab8cb7b46e96,PolyMapper: Extracting City Maps using
 c1d1b1197667facd360196059796ab8cb7b46e96,PolyMapper: Extracting City Maps using Polygons,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 c1d1b1197667facd360196059796ab8cb7b46e96,PolyMapper: Extracting City Maps using Polygons,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 c13291eaf9ca1b91ef3feb9d58a9a894130631e3,Relation Networks for Object Detection,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+c1aa52ad21d0ec20102eb5402c60ac91c49612bb,Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection,China,China,China,35.86166000,104.19539700,edu,

 c1aa52ad21d0ec20102eb5402c60ac91c49612bb,Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection,University of Oulu,University 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,

 c127ac138a22c155a79f362562a52c070e2b4022,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 c127ac138a22c155a79f362562a52c070e2b4022,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -2160,6 +2644,7 @@ c127ac138a22c155a79f362562a52c070e2b4022,Describing Natural Images Containing No
 c1ee2e1d53f9ffc9fca5e3e8da7c89dc2a2133d9,A Multifaceted Independent Performance Analysis of Facial Subspace Recognition Algorithms,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 c1ee2e1d53f9ffc9fca5e3e8da7c89dc2a2133d9,A Multifaceted Independent Performance Analysis of Facial Subspace Recognition Algorithms,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 c1cf5dda56c72b65e86f3a678f76644f22212748,FACE HALLUCINATION VIA SEMI-KERNEL PARTIAL LEAST SQUARES,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+c1cf5dda56c72b65e86f3a678f76644f22212748,FACE HALLUCINATION VIA SEMI-KERNEL PARTIAL LEAST SQUARES,China,China,China,35.86166000,104.19539700,edu,

 c1b71c339e4a4f88e0eb90342f10c7ed3fb8f5da,Shaped Wavelets for Curvilinear Structures for Ear Biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 c1a18684feeb2b966e2f03c2622f9a702e14204c,Eye Detection using Wavelets and ANN,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 c1a18684feeb2b966e2f03c2622f9a702e14204c,Eye Detection using Wavelets and ANN,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

@@ -2172,6 +2657,7 @@ c1298120e9ab0d3764512cbd38b47cd3ff69327b,Disguised Faces in the Wild,Indian Inst
 c1298120e9ab0d3764512cbd38b47cd3ff69327b,Disguised Faces in the Wild,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for face detection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 1e0dd12f2bff234a4df71641bc95068733506858,Handwritten Word Spotting with Corrected Attributes,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+1ecf4055831ca23c9f6026ef866dac95c8b8f9de,Eye Gaze Tracking With a Web Camera in a Desktop Environment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1efc28925ec65879652ad9d5f8be53037bb2f306,Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 1e0fc2e5537db53080ec9a875df614dd8018c873,Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting,Hiroshima University,Hiroshima University,"Hiroshima University　広島大学 東広島キャンパス, 出会いの道　Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu,

 1ed39db202e606f25aff93f3e4fe135283a50cc2,Video text detection and recognition: Dataset and benchmark,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

@@ -2185,6 +2671,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 1ed5d99fe46c0b5083f97e65841cd8535a9451c1,Dating historical color images,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,

 1ed5d99fe46c0b5083f97e65841cd8535a9451c1,Dating historical color images,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 1ed5d99fe46c0b5083f97e65841cd8535a9451c1,Dating historical color images,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,

+1e83e2abcb258cd62b160e3f31a490a6bc042e83,Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf,A Multi-level Contextual Model for Person Recognition in Photo Albums,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,

 1e516273554d87bbe1902fa0298179c493299035,Age Classification in Unconstrained Conditions Using LBP Variants,University of Oulu,University 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,

 1e95a366f9212654f79027894dbedf1ef44ca4c3,From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

@@ -2197,6 +2684,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 1e8ead5045c4b4de598c4eb570bfd9da14970129,A General Two-Step Approach to Learning-Based Hashing,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 1ed5c62eec52380c285daf2ffa7576d96e4ac150,Modeling Image Virality with Pairwise Spatial Transformer Networks,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 1e254f77ccbf3bd796ac3f60001384f59eba4ec2,Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+1e254f77ccbf3bd796ac3f60001384f59eba4ec2,Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation,"Disney Research, Pittsburgh, USA","Disney Research, Pittsburgh, USA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company,

 1e1ab3d08fd71ab7368464d9adf78be1170fa728,Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

 1ef5ce743a44d8a454dbfc2657e1e2e2d025e366,Accurate Corner Detection Methods using Two Step Approach,Thapar University,Thapar University,"Thapar University, Hostel Road, Patiala, Punjab, 147001, India",30.35566105,76.36581641,edu,

 1e7032e91fa01b90896c3cbfe5edf4f35ffd9628,A mixture model for aggregation of multiple pre-trained weak classifiers,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,

@@ -2205,9 +2693,11 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 1e58d7e5277288176456c66f6b1433c41ca77415,Bootstrapping Fine-Grained Classifiers : Active Learning with a Crowd in the Loop,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 1e54025a6b399bfc210a52a8c3314e8f570c2204,DenseCap: Fully Convolutional Localization Networks for Dense Captioning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1ea4e6db88a63d1a635e90242ce81adedaa803e1,Mirror Match: Reliable Feature Point Matching without Geometric Constraints,École Polytechnique Fédérale de Lausanne,"École Polytechnique Fédérale de Lausanne (EPFL), Switzerland","Bibliothèque de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra",46.51841210,6.56846540,edu,

+1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d,Compressed Deep Convolution Neural Network for Face Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d,Compressed Deep Convolution Neural Network for Face Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d,Compressed Deep Convolution Neural Network for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 1e94cc91c5293c8fc89204d4b881552e5b2ce672,Unsupervised Alignment of Actions in Video with Text Descriptions,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

-1e94cc91c5293c8fc89204d4b881552e5b2ce672,Unsupervised Alignment of Actions in Video with Text Descriptions,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+1e94cc91c5293c8fc89204d4b881552e5b2ce672,Unsupervised Alignment of Actions in Video with Text Descriptions,"Indian Institute of Technology Delhi, New Delhi, India","Indian Institute of Technology Delhi, New Delhi, India","Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi 110016, India",28.54296760,77.19380600,edu,

 1e8d0998c69caf6e9495db1d6df562f8b9e90003,Solving the Small Sample Size Problem of LDA,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 1e46d0714398904e557f27022908121fa8a7902f,Baseline Evaluations on the CAS-PEAL-R1 Face Database,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 1e6d1e811da743df02481bca1a7bdaa73b809913,Multimodal person recognition for human-vehicle interaction,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu,

@@ -2221,17 +2711,22 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 1eb596303ce1f90e8070090be02c768e91fd75ed,Using viseme recognition to improve a sign language translation system,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 1e0a5ce5204f3f7503c39df6d200627cc331efe2,Automatic Arabic Image Captioning using RNN-LSTM-Based Language Model and CNN,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

 1ecd20f7fc34344e396825d27bc5a9871ab0d0c2,SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+1e93ec0f5c29069beedbe7d617f5167b82b70730,Filtering SVM frame-by-frame binary classification in a detection framework,University of Genoa,"University of Genoa, Italy","Via Balbi, 5, 16126 Genova GE, Italy",44.41490290,8.92674300,edu,

 1e7995220c6f17dc649b0caeab34c617248aa167,Adversarial Geometry-Aware Human Motion Prediction,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,

 1e5ca4183929929a4e6f09b1e1d54823b8217b8e,Classification in the Presence of Heavy Label Noise : A Markov Chain Sampling Framework,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 1e9758d282568763b209252bc3aeb7b47d269881,Learning Ordered Representations with Nested Dropout,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 1e9758d282568763b209252bc3aeb7b47d269881,Learning Ordered Representations with Nested Dropout,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 1e9758d282568763b209252bc3aeb7b47d269881,Learning Ordered Representations with Nested Dropout,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 1e99c95ea015a0639448fdf60f9694fed5464500,Interactive Object Counting,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+1e99c95ea015a0639448fdf60f9694fed5464500,Interactive Object Counting,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 1e944bd5a3907546d633691b8c83fec77d880657,Learning Kinematic Models for Articulated Objects,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+1e8eee51fd3bf7a9570d6ee6aa9a09454254689d,Face Search at Scale,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1e07500b00fcd0f65cf30a11f9023f74fe8ce65c,Whole space subclass discriminant analysis for face recognition,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

 1e57ace361b941d9d210e59a9bbac7697b6bcff5,Maximizing all margins: Pushing face recognition with Kernel Plurality,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,

 1e57ace361b941d9d210e59a9bbac7697b6bcff5,Maximizing all margins: Pushing face recognition with Kernel Plurality,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+1e9ace30e55c57c14f609fa45a459458ed40dd77,DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild,India,India,India,20.59368400,78.96288000,edu,

 1e3df3ca8feab0b36fd293fe689f93bb2aaac591,Multi-task Recurrent Neural Network for Immediacy Prediction,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4,Learning to Parse Video into Stable Spatiotemporal Volumes,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 1ec98785ac91808455b753d4bc00441d8572c416,Curriculum Learning for Facial Expression Recognition,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,

 1e9f1bbb751fe538dde9f612f60eb946747defaa,Identity-aware convolutional neural networks for facial expression recognition,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 1ed953c92ba011c908ff75f45d81fd7523bb3d8c,InSight: recognizing humans without face recognition,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -2241,27 +2736,34 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177,Face Detection with a 3D Model,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177,Face Detection with a 3D Model,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

 1e3739716e163fce6fded71eda078a18334aa83b,The HFB Face Database for Heterogeneous Face Biometrics research,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+1e3739716e163fce6fded71eda078a18334aa83b,The HFB Face Database for Heterogeneous Face Biometrics research,China,China,China,35.86166000,104.19539700,edu,

 1eab461a69ea758bf433342a35c6035876d45f3a,Learning to Rank Based on Subsequences,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 1eab461a69ea758bf433342a35c6035876d45f3a,Learning to Rank Based on Subsequences,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,

 1eb249b515f7c09ae2663c1b5c49243906aabf22,Learning Structured Semantic Embeddings for Visual Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 1eafc8e7316d7257955ef09f903d318d55fac1fc,Ensemble of furthest subspace pairs for enhanced image set matching,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 1eafc8e7316d7257955ef09f903d318d55fac1fc,Ensemble of furthest subspace pairs for enhanced image set matching,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 1e056b9018567042046a24163221cc59275f1dca,Towards Open World Recognition,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu,

+1e284c51e005099b482eba9590427e29038d75c6,Pose Invariant Recognition using SIFT Based Feature Extraction and MRF,India,India,India,20.59368400,78.96288000,edu,

 1ef4815f41fa3a9217a8a8af12cc385f6ed137e1,Rendering of Eyes for Eye-Shape Registration and Gaze Estimation,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 1ef4815f41fa3a9217a8a8af12cc385f6ed137e1,Rendering of Eyes for Eye-Shape Registration and Gaze Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 1ed99a11c20afc2e6e2f3585f575bf936898dcb3,Reasoning and algorithm selection augmented symbolic segmentation,Nazarbayev University,Nazarbayev University,"Назарбаев Университет, проспект Туран, BI village, Астана, район  Есиль, Астана, 010000, Казахстан",51.09028540,71.39725263,edu,

 1ef368e79d1a33d700905221696e552745e1ec7f,On Crater Verification Using Mislocalized Crater Regions,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 1e4822f64f105a3f27888cc463e7e49e95c1e0f0,SRTTU Facial Expression Recognition Based on Anatomical Structure of Human Face,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 1e6278eb2716048165969d294e110e5a8df71e0b,Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

-1ee896784275d0517963815b7c7ae1c788940409,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+1ee896784275d0517963815b7c7ae1c788940409,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 1ee896784275d0517963815b7c7ae1c788940409,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 1e3a9b0cfdeca614c5689a3419016c89bf9fbdfa,Facial color is an efficient mechanism to visually transmit emotion,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 1e3a9b0cfdeca614c5689a3419016c89bf9fbdfa,Facial color is an efficient mechanism to visually transmit emotion,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 1e394f669c4f63c593677d2850c3d022a6fc1ac8,Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 1e43d706d38cbacac563de9d0659230de00d73f2,Paragon: QoS-aware scheduling for heterogeneous datacenters,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1e8c87181ac8db93431a0c7470c71561e1ee565f,Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 1e8c87181ac8db93431a0c7470c71561e1ee565f,Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu,

+1e21078efc0aa7a3881d0e87cb5dd5918523f525,Network Consistent Data Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1e41a3fdaac9f306c0ef0a978ae050d884d77d2a,Robust Object Recognition with Cortex-Like Mechanisms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 096bd380a2f653dc5e43069b97e1505186c47d5b,Min Norm Point Algorithm for Higher Order MRF-MAP Inference,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+096bd380a2f653dc5e43069b97e1505186c47d5b,Min Norm Point Algorithm for Higher Order MRF-MAP Inference,India,India,India,20.59368400,78.96288000,edu,

 09232b786e009655c5e03d2b3fcd7b40d75382bf,The Representation of Emotion in Autonomic and Central Nervous System Activity,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 093da3310d98b3c09e2770c2a6aa49eeca58cebe,Trimmed Event Recognition : submission to ActivityNet Challenge 2018,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 09fa54f1ab7aaa83124d2415bfc6eb51e4b1f081,Where to Buy It: Matching Street Clothing Photos in Online Shops,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

@@ -2271,13 +2773,14 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 09dd01e19b247a33162d71f07491781bdf4bfd00,Efficiently scaling up video annotation with crowdsourced marketplaces,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 0914eb61b743300828c84f9e235ce6165a171be5,Analyzing the Behavior of Visual Question Answering Models,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 0969e0dc05fca21ff572ada75cb4b703c8212e80,Semi-Supervised Classification Based on Low Rank Representation,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu,

-09669da2fe4764196eb0e2eff240291d54607882,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+09669da2fe4764196eb0e2eff240291d54607882,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 09d03b792923695deb0492d8fc3582a50e5f1a1e,Band-Sifting Decomposition for Image-Based Material Editing,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 0903b956a68073eee3760572059abd5b24b026da,Probabilistic Label Trees for Efficient Large Scale Image Classification,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 09ec2d5cba5b15894b1fea71489c5204a338fd95,Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 09a106feed520651d785fd8a2df26910f5928f2e,"Think Leader, Think White? Capturing and Weakening an Implicit Pro-White Leadership Bias",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,

 09a8ae8fc95bd3c9fb8022da2c32c519d5fc06bc,A Multiple Kernel Learning Approach to Joint Multi-class Object Detection,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu,

 09ce14b84af2dc2f76ae1cf227356fa0ba337d07,Face reconstruction in the wild,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+09ce14b84af2dc2f76ae1cf227356fa0ba337d07,Face reconstruction in the wild,University of Washington and Google Inc.,University of Washington and Google Inc.,"University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA",47.66074610,-122.31458380,edu,

 09e880c99fc1f38b1d2378a39adc1730a9178ef2,Video Inpainting by Jointly Learning Temporal Structure and Spatial Details,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 095be7eaf5429ab08d02a9e05f52f5bb81bcd838,Flow of Information in Feed-Forward Deep Neural Networks,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu,

 098fa9b4c3f7fb41c7a178d36f5dbb50a3ffa377,Dense Optical Flow Prediction from a Static Image,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

@@ -2287,6 +2790,9 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 09c5fe448694eea3cf3166ccccb2c81048fe0601,Clustered Exemplar-SVM: Discovering sub-categories for visual recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 09ae02eb0359363134a7a5ca912ea60769b07031,A Smoother Way to Train Structured Prediction Models,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 09ae02eb0359363134a7a5ca912ea60769b07031,A Smoother Way to Train Structured Prediction Models,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+0953df0cb7a40a29100eb3089863451ee8e6db47,Chapter 10 PERCEPTUAL INTERFACES,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0967341790643f680f3fc9dc87bfe311723be4e4,A Perception-Driven Transcale Display Scheme for Space Image Sequences,China,China,China,35.86166000,104.19539700,edu,

+0967341790643f680f3fc9dc87bfe311723be4e4,A Perception-Driven Transcale Display Scheme for Space Image Sequences,China,China,China,35.86166000,104.19539700,edu,

 09e1072c509e1d24a34dfbbaba1c3700e1eb1338,Visualization of Time-Series Data in Parameter Space for Understanding Facial Dynamics,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 09e1072c509e1d24a34dfbbaba1c3700e1eb1338,Visualization of Time-Series Data in Parameter Space for Understanding Facial Dynamics,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu,

 0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6,Dynamic Label Graph Matching for Unsupervised Video Re-identification,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

@@ -2295,12 +2801,15 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 090ff8f992dc71a1125636c1adffc0634155b450,Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 090ff8f992dc71a1125636c1adffc0634155b450,Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 090ff8f992dc71a1125636c1adffc0634155b450,Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment,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,

+09718bf335b926907ded5cb4c94784fd20e5ccd8,"Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 09733129161ca7d65cf56a7ad63c17f493386027,Face Recognition under Varying Illumination,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu,

 09733129161ca7d65cf56a7ad63c17f493386027,Face Recognition under Varying Illumination,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 09733129161ca7d65cf56a7ad63c17f493386027,Face Recognition under Varying Illumination,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu,

 097d3892f5f2ba7be43a81908279f42a618839ec,Dynamic context driven human detection and tracking in meeting scenarios.,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+09fc69a06f4c709846719a06a00a8bce533928d7,Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction,China,China,China,35.86166000,104.19539700,edu,

 09fc69a06f4c709846719a06a00a8bce533928d7,Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 09628e9116e7890bc65ebeabaaa5f607c9847bae,Semantically Consistent Regularization for Zero-Shot Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

+0969aa7d4557699b7460e4159658828efafed8bd,Con-Text: Text Detection for Fine-Grained Object Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 09b80d8eea809529b08a8b0ff3417950c048d474,Adding Unlabeled Samples to Categories by Learned Attributes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 09b80d8eea809529b08a8b0ff3417950c048d474,Adding Unlabeled Samples to Categories by Learned Attributes,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1,Synthesizing Training Images for Boosting Human 3D Pose Estimation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

@@ -2319,11 +2828,13 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 09b43b59879d59493df2a93c216746f2cf50f4ac,Deep Transfer Metric Learning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",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,

 0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",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,

-0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 09edba9db405dde61630c70bba00ae9c5dd7ed37,Learning From Disagreements : Discriminative Performance Evaluation,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu,

 090e4713bcccff52dcd0c01169591affd2af7e76,What Do You Do? Occupation Recognition in a Photo via Social Context,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 090e4713bcccff52dcd0c01169591affd2af7e76,What Do You Do? Occupation Recognition in a Photo via Social Context,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 096e389c28cdd15b8765baa29ae55d98f8c3c4b4,Passive Profiling and Natural Interaction Metaphors for Personalized Multimedia Museum Experiences,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+09d453d4949b9d2b0dad1d5288e02ca9ec7da450,A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction and Neural Networks in Real Time,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+09c4732280c3b2586e390d818ef0056a8de73e2c,A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 096a97299c9114316770205f9697653d000a58a6,Bayesian Modeling of Intersectional Fairness: The Variance of Bias,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 09fd76c02abdd1bca7b98ab9fa66450cec33b9dc,User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 099ce5cb6f42bff5ad117852d62c5a07e6407b8a,Spectral Methods for Multi-Scale Feature Extraction and Data Clustering,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

@@ -2343,16 +2854,21 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 09f58353e48780c707cf24a0074e4d353da18934,Unconstrained face recognition: Establishing baseline human performance via crowdsourcing,"Noblis, Falls Church, VA, U.S.A.","Noblis, Falls Church, VA, U.S.A.","2002 Edmund Halley Dr, Reston, VA 20191, USA",38.95187000,-77.36325900,company,

 09348656bbbe88881d1257650a170af5e22f1008,Parsing clothing in fashion photographs,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 09cf3f1764ab1029f3a7d57b70ae5d5954486d69,Comparison of ICA approaches for facial expression recognition,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

+09cf3f1764ab1029f3a7d57b70ae5d5954486d69,Comparison of ICA approaches for facial expression recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 09b5b34d06fff4c76866d92516108ac68ac25ccf,Using Regression Techniques for Coping with the One-Sample-Size Problem of Face Recognition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 17f29dba3809527c3b9533247045a488417ec21c,Removal of 3D facial expressions: A learning-based approach,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 17d5e5c9a9ee4cf85dfbb9d9322968a6329c3735,Study on Parameter Selection Using SampleBoost,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu,

 177bc509dd0c7b8d388bb47403f28d6228c14b5c,"Deep Learning Face Representation from Predicting 10,000 Classes",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 177bc509dd0c7b8d388bb47403f28d6228c14b5c,"Deep Learning Face Representation from Predicting 10,000 Classes",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 177bc509dd0c7b8d388bb47403f28d6228c14b5c,"Deep Learning Face Representation from Predicting 10,000 Classes",Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 17cf6195fd2dfa42670dc7ada476e67b381b8f69,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu,

 17cf6195fd2dfa42670dc7ada476e67b381b8f69,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,China,China,China,35.86166000,104.19539700,edu,

 17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,"German Aerospace Center (DLR), Germany","German Aerospace Center (DLR), Germany","Linder Höhe, 51147 Köln, Germany",50.85502400,7.11949760,edu,

 17423fe480b109e1d924314c1dddb11b084e8a42,Deep Disguised Faces Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 17b6eb93b41baeb5e1b0a16ecb0673a72368a34b,Generic Object Recognition,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 1727601f148b937a49df10194edcee4800852a97,Deep Mutual Learning,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

@@ -2363,6 +2879,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 17b46e2dad927836c689d6787ddb3387c6159ece,GeoFaceExplorer: exploring the geo-dependence of facial attributes,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 17b46e2dad927836c689d6787ddb3387c6159ece,GeoFaceExplorer: exploring the geo-dependence of facial attributes,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 17255cf67d05f9f46f9bf7add35a950c36ccf920,Improved Speaker Verification through Pro,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,

+175fcfe655b5601b21fdfb3c61bff49c7a8ca297,Semantic Human Matting,China,China,China,35.86166000,104.19539700,edu,

 176bd61cc843d0ed6aa5af83c22e3feb13b89fe1,Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face,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,

 178199b97983556926c9ac7f06e2d12ec6223803,Learning object categories from Google's image search,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 178b55ded04d351c5a7df2e94a81aa3051d7fd8b,Visual Question Answering with Memory-Augmented Networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

@@ -2370,19 +2887,24 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 179ae598004d76c56dcc95c5aab3419ec8996af1,Person independent 3D gaze estimation from remote RGB-D cameras,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 17d7579cd732dfb485ee59bb6b9ca56647c800c2,Image normalization by mutual information,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 17027a05c1414c9a06a1c5046899abf382a1142d,Articulated motion discovery using pairs of trajectories,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+17ad76ef00d4cb584389682ca6b138a8bdc9a2da,Continuous Multimodal Emotion Recognition Approach for AVEC 2017,India,India,India,20.59368400,78.96288000,edu,

 172cd5d213cefd99e93039eaf3d8824b3ba203e4,Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

+17257fc03b611315ae49bd53d229188b889002e6,Hard Negative Mining for Metric Learning Based Zero-Shot Classification,"ONERA - The French Aerospace Lab, Palaiseau, France","ONERA - The French Aerospace Lab, Palaiseau, France","8 Chemin de la Hunière, 91120 Palaiseau, France",48.71467230,2.23270940,edu,

 177c1998dc9635bccd60151e29ec50666ff7ce6e,Combining human and machine computing elements for analysis via crowdsourcing,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

 17e7a53456539dac2c9cf8631174c6388f64e24b,Learning to Detect Multiple Photographic Defects,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 174dee2c320e39dc8486b12e3ff5d2284b4a5744,Combining generative models and Fisher kernels for object recognition,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 17670b60dcfb5cbf8fdae0b266e18cf995f6014c,Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 17670b60dcfb5cbf8fdae0b266e18cf995f6014c,Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines,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,

 17370f848801871deeed22af152489e39b6e1454,Undersampled face recognition with one-pass dictionary learning,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu,

+17555c227941654bc19d613742e2508f209c6d86,Albumentations: fast and flexible image augmentations,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 17555c227941654bc19d613742e2508f209c6d86,Albumentations: fast and flexible image augmentations,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 17d01f34dfe2136b404e8d7f59cebfb467b72b26,Riemannian Similarity Learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 17fa1c2a24ba8f731c8b21f1244463bc4b465681,Deep multi-scale video prediction beyond mean square error,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 171585599fcc0cb2c2c190a3ff395c2f5bd331dc,3-D–2-D spatiotemporal registration for sports motion analysis,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 173a38768848cfe57a6b20b5ae019ce613e58781,Knowledge Acquisition for Visual Question Answering via Iterative Querying,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 173a38768848cfe57a6b20b5ae019ce613e58781,Knowledge Acquisition for Visual Question Answering via Iterative Querying,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,

+17e974f463ae01c518ffb1f77852b59dd8f78b56,Review of Different Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu,

+17e974f463ae01c518ffb1f77852b59dd8f78b56,Review of Different Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu,

 179f446aa297d6fe5c864b605286b946f85bb4ee,Fusion of static and dynamic body biometrics for gait recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 171d8a39b9e3d21231004f7008397d5056ff23af,"Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion",Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 171d8a39b9e3d21231004f7008397d5056ff23af,"Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -2401,12 +2923,16 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,China,China,China,35.86166000,104.19539700,edu,

 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Hengyang Normal University,Hengyang Normal University,"衡阳师范学院, 黄白路, 雁峰区, 衡阳市 / Hengyang, 湖南省, 中国",26.86611360,112.62092122,edu,

+17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,China,China,China,35.86166000,104.19539700,edu,

 17f8f5fe7a6730ee8d735d055ccc12231aff4435,A Large-scale Distributed Video Parsing and Evaluation Platform,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 170a5f5da9ac9187f1c88f21a88d35db38b4111a,Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 170a5f5da9ac9187f1c88f21a88d35db38b4111a,Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction,Oxford University,Oxford University,"University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK",51.75208490,-1.25166460,edu,

 17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Tomsk Polytechnic University,Tomsk Polytechnic University,"Томский политехнический университет, улица Пирогова, Южная, Кировский район, Томск, городской округ Томск, Томская область, СФО, 634034, РФ",56.46255985,84.95565495,edu,

 17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Tomsk Polytechnic University,Tomsk Polytechnic University,"Томский политехнический университет, улица Пирогова, Южная, Кировский район, Томск, городской округ Томск, Томская область, СФО, 634034, РФ",56.46255985,84.95565495,edu,

+17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 177d1e7bbea4318d379f46d8d17720ecef3086ac,Learning Multi-channel Deep Feature Representations for Face Recognition,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,

 177d1e7bbea4318d379f46d8d17720ecef3086ac,Learning Multi-channel Deep Feature Representations for Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 17d4fd92352baf6f0039ec64d43ca572c8252384,MoE-SPNet: A mixture-of-experts scene parsing network,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -2422,18 +2948,21 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 17a8d1b1b4c23a630b051f35e47663fc04dcf043,Differential Angular Imaging for Material Recognition,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu,

 176f26a6a8e04567ea71677b99e9818f8a8819d0,MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset,Sapienza University of Rome,Sapienza University of Rome,"Piazzale Aldo Moro, 5, 00185 Roma RM, Italy",41.90376260,12.51443840,edu,

 176f26a6a8e04567ea71677b99e9818f8a8819d0,MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset,University of Naples Federico II,University of Naples Federico II,"Corso Umberto I, 40, 80138 Napoli NA, Italy",40.84549200,14.25780580,edu,

-17113b0f647ce05b2e50d1d40c856370f94da7de,Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+17113b0f647ce05b2e50d1d40c856370f94da7de,Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 171042ba12818238e3c0994ff08d71f8c28d4134,Learning to Describe E-Commerce Images from Noisy Online Data,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 17f3358d219c05f3cb8d68bdfaf6424567d66984,Adversarial Examples for Generative Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 17f3358d219c05f3cb8d68bdfaf6424567d66984,Adversarial Examples for Generative Models,"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,

 17f472a7cb25bf1e76ff29181b1d40585e2ae5c1,Fusing binary templates for multi-biometric cryptosystems,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

 173a1110e3f5fe6a5518d7ceb025730b073bad62,Divided Local Binary Pattern ( DLBP ) Features Description Method For Facial Expression Recognition ⋆,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

+1134a6be0f469ff2c8caab266bbdacf482f32179,FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO-OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER,India,India,India,20.59368400,78.96288000,edu,

 11f515ead5b4a7259668f2620e808fa8ba5ea65c,Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 118e87ee5a8e0faa71b6ca5af6ff38f875132464,Pose Invariant Embedding for Deep Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 1167136efcb52cf49e89b90949149312bab19cc3,Multi-camera Pedestrian Tracking using Group Structure,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 1167136efcb52cf49e89b90949149312bab19cc3,Multi-camera Pedestrian Tracking using Group Structure,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 11f476a5da2366cfa6e4b4e2654a0833fa7d4fa4,Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 11deee1b9e199d1cc0d07d4c4d9f888447e19845,Pose Induction for Novel Object Categories,"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,

+11d9bee72759e23f19117fc8cbb60b487e8ac79e,Benchmark Visual Question Answer Models by using Focus Map,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 11b45236b2798091ddab35c572a35f447bb8d717,The Case for Personal Data-Driven Decision Making,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 117aae1dc5b3aee679a690f7dab84e9a23add930,Age and Video Captioning,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 11fa30ccbf62a64f650844b9cc39797e5faa82d5,A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

@@ -2441,7 +2970,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 11cc0774365b0cc0d3fa1313bef3d32c345507b1,Face Recognition Using Active Near-IR Illumination.,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc,Squared Earth Mover ’ s Distance Loss for Training Deep Neural Networks on Ordered-Classes,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

-1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 11a47a91471f40af5cf00449954474fd6e9f7694,NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu,

 11824658170994e4d4655e8f688bace16a0d3e48,Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu,

@@ -2458,6 +2987,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 114907f89466987b3c41c8d530e50b2ac67179cf,Face Identification by a Cascade of Rejection Classifiers,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 114d6a2503847a72afeb38e79243ad10abc7e123,Building Unified Human Descriptors For Multi-Type Activity Recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 11138173fa5e72a6bba314881d8d5dd74c1ac83f,Optimizing Mean Reciprocal Rank for person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

+1183db5f409e8498d1a0f542703f908275a6dc34,Robust Visual Tracking and Vehicle Classification via Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 11b89011298e193d9e6a1d99302221c1d8645bda,Structured Feature Selection,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 11aa527c01e61ec3a7a67eef8d7ffe9d9ce63f1d,"Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 11aa527c01e61ec3a7a67eef8d7ffe9d9ce63f1d,"Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -2465,6 +2995,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 11b40f51c156c82b6defe0717698bbb2317b66ba,Monocular Visual-IMU Odometry: A Comparative Evaluation of the Detector-Descriptor Based Methods,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu,

 11b40f51c156c82b6defe0717698bbb2317b66ba,Monocular Visual-IMU Odometry: A Comparative Evaluation of the Detector-Descriptor Based Methods,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 11b3877df0213271676fa8aa347046fd4b1a99ad,Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER,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,

+11606059047b2f3b2293a43af0a5eacd01830be0,Pedestrian detection from traffic scenes based on probabilistic models of the contour fragments,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

+11943efec248fcac57ff6913424e230d0a02e977,Auxiliary Tasks in Multi-task Learning,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+11811c547fe91e63547cc7081a859d13b4752f90,Designing Efficient Multimodal Classification Systems Based on Features and Svm Kernels Selection,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

+1119b4b038fd7d1d337d4aee232dea6c56f20cf1,A Sparse Embedding and Least Variance Encoding Approach to Hashing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 11937c9f54723bea7a0c936993b42e091b494e7d,Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

 1108c1298673852bb4905f032c80173e1a891f8c,Dual Motion GAN for Future-Flow Embedded Video Prediction,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,

 11dc744736a30a189f88fa81be589be0b865c9fa,A Unified Multiplicative Framework for Attribute Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -2473,6 +3007,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 11408af8861fb0a977412e58c1a23d61b8df458c,A robust learning algorithm based on SURF and PSM for facial expression recognition,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 118ca3b2e7c08094e2a50137b1548ada7935e505,A Dataset To Evaluate The Representations Learned By Video Prediction Models,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu,

 11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0,Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu,

+11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 117f164f416ea68e8b88a3005e55a39dbdf32ce4,Neuroaesthetics in fashion: Modeling the perception of fashionability,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 1188c925d90e93a205c5fc15d11fb2ae02660f2e,Deep Photovoltaic Nowcasting,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 1177977134f6663fff0137f11b81be9c64c1f424,Multi-manifold deep metric learning for image set classification,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

@@ -2482,7 +3020,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 1177977134f6663fff0137f11b81be9c64c1f424,Multi-manifold deep metric learning for image set classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 1165516b4f8bc57ed416ef7be9482c4f013b41a2,Face Registration and Recognition Using Profiles in 3 D Range Images,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu,

 117c7cf24b9310ed785ef6fb84e95c73186f61e6,Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

-117c7cf24b9310ed785ef6fb84e95c73186f61e6,Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+117c7cf24b9310ed785ef6fb84e95c73186f61e6,Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 116888b8f08419f027f5047f0ff1557b16f69d5a,Fearful contextual expression impairs the encoding and recognition of target faces: an ERP study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 116888b8f08419f027f5047f0ff1557b16f69d5a,Fearful contextual expression impairs the encoding and recognition of target faces: an ERP study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 113e5678ed8c0af2b100245057976baf82fcb907,Facing Imbalanced Data--Recommendations for the Use of Performance Metrics,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,

@@ -2490,6 +3028,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 113ced4a8c5ecb6da1b2eb63c1300cd8df982917,Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 113ced4a8c5ecb6da1b2eb63c1300cd8df982917,Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu,

 114b34fd2a2a2acd4a968cbaeb5e0d2251fb2835,Combining Appearance and Structure from Motion Features for Road Scene Understanding,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+114b34fd2a2a2acd4a968cbaeb5e0d2251fb2835,Combining Appearance and Structure from Motion Features for Road Scene Understanding,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 11269e98f072095ff94676d3dad34658f4876e0e,Facial expression recognition with multithreaded cascade of rotation-invariant HOG,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 11269e98f072095ff94676d3dad34658f4876e0e,Facial expression recognition with multithreaded cascade of rotation-invariant HOG,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 11269e98f072095ff94676d3dad34658f4876e0e,Facial expression recognition with multithreaded cascade of rotation-invariant HOG,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

@@ -2503,10 +3042,13 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 11a2ef92b6238055cf3f6dcac0ff49b7b803aee3,Towards reduction of the training and search running time complexities for non-rigid object segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 116763250838c0c37dace540ff38d33bf4864960,Robust Classification of Head Pose from Low Resolution Images under Various Lighting Condition,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 2c3cac0f568ae9261ff9c80eeda55a13e83ae7fb,A discriminative framework for modelling object classes,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+2cce7a5289c4124d9b23fe67963f3d635b63091c,Towards intent dependent image enhancement - state-of-the-art and recent attempts,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 2c424f21607ff6c92e640bfe3da9ff105c08fac4,Learning Structured Output Representation using Deep Conditional Generative Models,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f,Face Sketch Synthesis From Coarse to Fine,China,China,China,35.86166000,104.19539700,edu,

 2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f,Face Sketch Synthesis From Coarse to Fine,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f,Face Sketch Synthesis From Coarse to Fine,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 2c19d3d35ef7062061b9e16d040cebd7e45f281d,End-to-end Video-level Representation Learning for Action Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad,Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information,China,China,China,35.86166000,104.19539700,edu,

 2c203050a6cca0a0bff80e574bda16a8c46fe9c2,Discriminative Deep Hashing for Scalable Face Image Retrieval,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 2c17d36bab56083293456fe14ceff5497cc97d75,Unconstrained Face Alignment via Cascaded Compositional Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 2c17d36bab56083293456fe14ceff5497cc97d75,Unconstrained Face Alignment via Cascaded Compositional Learning,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

@@ -2536,7 +3078,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 2cfc28a96b57e0817cc9624a5d553b3aafba56f3,P 2 F 2 : Privacy-Preserving Face Finder,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu,

 2c149eff297ffe7d762fd453571fb7cb1761d7a5,In Defence of Negative Mining for Annotating Weakly Labelled Data,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 2cde051e04569496fb525d7f1b1e5ce6364c8b21,Sparse 3D convolutional neural networks,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

+2c5d1e0719f3ad7f66e1763685ae536806f0c23b,AENet: Learning Deep Audio Features for Video Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c,Learning Points and Routes to Recommend Trajectories,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot : Three Datasets for Mobile Manipulation in Human Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot : Three Datasets for Mobile Manipulation in Human Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2ccb12140ffc642010b448e7b6f77b3f57cea497,Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 2ca43325a5dbde91af90bf850b83b0984587b3cc,For Your Eyes Only – Biometric Protection of PDF Documents,Gdansk University of Technology,Gdansk University of Technology,"PG, Romualda Traugutta, Królewska Dolina, Wrzeszcz Górny, Gdańsk, pomorskie, 80-233, RP",54.37086525,18.61716016,edu,

 2c3430e0cbe6c8d7be3316a88a5c13a50e90021d,Multi-feature Spectral Clustering with Minimax Optimization,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

@@ -2549,30 +3094,42 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 2cff3c291e03dda9ed6cf9747eeffc5642762e52,A Survey : Face Recognition Techniques,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 2cff3c291e03dda9ed6cf9747eeffc5642762e52,A Survey : Face Recognition Techniques,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu,

 2c3c72fffcbbf66cbb649b64aa51199722140ad1,TVT: Two-View Transformer Network for Video Captioning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+2c86443519b46c83073b17c6a98da0fe781a2730,Confidence Propagation through CNNs for Guided Sparse Depth Regression.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2cdf5952b5a1bea5d24917aa2f3fc2ee33568e9a,Autoencoding the retrieval relevance of medical images,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 2cb7b6c6456735e5cf778ef9864bf590f7813ccf,Generative Dual Adversarial Network for Generalized Zero-shot Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

+2cb7b6c6456735e5cf778ef9864bf590f7813ccf,Generative Dual Adversarial Network for Generalized Zero-shot Learning,China,China,China,35.86166000,104.19539700,edu,

 2cb7b6c6456735e5cf778ef9864bf590f7813ccf,Generative Dual Adversarial Network for Generalized Zero-shot Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,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,

 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,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,

 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,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,

+2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c,An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments,China,China,China,35.86166000,104.19539700,edu,

 2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c,An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments,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,

+2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c,An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments,"Kyushu Institute of Technology, Japan","Kyushu Institute of Technology, Japan","1-1 仙水町 戸畑区 北九州市 福岡県 804-8550, Japan",33.89419680,130.83940830,edu,

 2c3e7392b865b228f5d56ab025cd3123554be5e1,Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the “Speaking Rosetta” JSALT 2017 Workshop,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2ce073da76e6ed87eda2da08da0e00f4f060f1a6,Deep Saliency with Encoded Low Level Distance Map and High Level Features,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 2ce073da76e6ed87eda2da08da0e00f4f060f1a6,Deep Saliency with Encoded Low Level Distance Map and High Level Features,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

+2ce073da76e6ed87eda2da08da0e00f4f060f1a6,Deep Saliency with Encoded Low Level Distance Map and High Level Features,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 2cac70f9c8140a12b6a55cef834a3d7504200b62,Reconstructing High Quality Face-Surfaces using Model Based Stereo,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

-2cac70f9c8140a12b6a55cef834a3d7504200b62,Reconstructing High Quality Face-Surfaces using Model Based Stereo,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2cac70f9c8140a12b6a55cef834a3d7504200b62,Reconstructing High Quality Face-Surfaces using Model Based Stereo,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 2cdc40f20b70ca44d9fd8e7716080ee05ca7924a,Real-time Convolutional Neural Networks for Emotion and Gender Classification,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 2c21bd988a1a7e330380da4f8be0d23681c5c1b2,Objects as Context for Detecting Their Semantic Parts,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 2c55ac6330ce91a24131a81807237807134ec371,Visual Phrase Learning and Its Application in Computed Tomographic Colonography,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

+2cd9a7eefc126469b566fc429657bb889d13b4fa,Robust object tracking based on RGB-D camera,China,China,China,35.86166000,104.19539700,edu,

 2cd9a7eefc126469b566fc429657bb889d13b4fa,Robust object tracking based on RGB-D camera,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 2cd9a7eefc126469b566fc429657bb889d13b4fa,Robust object tracking based on RGB-D camera,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 2ce38dbb4d4228ae4a7016b0422155a274b88659,Automatic 3 D Face Extraction from Raw Scanned Triangle Mesh,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 2ce38dbb4d4228ae4a7016b0422155a274b88659,Automatic 3 D Face Extraction from Raw Scanned Triangle Mesh,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,China,China,China,35.86166000,104.19539700,edu,

+2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,China,China,China,35.86166000,104.19539700,edu,

 2c4def184f940e2dd4302bdc130999c27054de3e,A new spontaneous expression database and a study of classification-based expression analysis methods,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 2c4def184f940e2dd4302bdc130999c27054de3e,A new spontaneous expression database and a study of classification-based expression analysis methods,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 2c7934a2f1671286370cd9adebc2872c6dd318f5,Visual Scene Understanding through Semantic Segmentation Visual Scene Understanding through Semantic Segmentation,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 2c7934a2f1671286370cd9adebc2872c6dd318f5,Visual Scene Understanding through Semantic Segmentation Visual Scene Understanding through Semantic Segmentation,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

+2c8f24f859bbbc4193d4d83645ef467bcf25adc2,Classification in the Presence of Label Noise: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2ceaa8d6ee74105a6b5561661db299c885f9135b,Learning to Decode for Future Success,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 2c7946d5d2f1572c20e9843eb2033b8eb9771bf3,Mechanisms for widespread hippocampal involvement in cognition.,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 2c7946d5d2f1572c20e9843eb2033b8eb9771bf3,Mechanisms for widespread hippocampal involvement in cognition.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

@@ -2580,9 +3137,12 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 2c7946d5d2f1572c20e9843eb2033b8eb9771bf3,Mechanisms for widespread hippocampal involvement in cognition.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 2cae2ca6221fbfa9655e41ac52e54631ada7ad2c,Electoral College and Direct Popular Vote for Multi-Candidate Election,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu,

 2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 2cf264065bf579247b3f0754de7e6592cf5a66ad,Local Associated Features for Pedestrian Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 2cf264065bf579247b3f0754de7e6592cf5a66ad,Local Associated Features for Pedestrian Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+2cf264065bf579247b3f0754de7e6592cf5a66ad,Local Associated Features for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626,Attacking Object Detectors via Imperceptible Patches on Background,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 2ca761938bd789b82d1a4ca85e7b8d5661093660,Enhancing Music Information Retrieval by Incorporating Image-Based Local Features,Open University,The Open University,"The Open University, East Lane, Walton, Monkston, Milton Keynes, South East, England, MK7 6AE, UK",52.02453775,-0.70927481,edu,

 2ca761938bd789b82d1a4ca85e7b8d5661093660,Enhancing Music Information Retrieval by Incorporating Image-Based Local Features,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

@@ -2610,13 +3170,22 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 833b6e61468fe655b5067ca91608fc37246c767b,FERA 2015 - second Facial Expression Recognition and Analysis challenge,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 832ebccfecac5728d5c556a8398a0756ae242549,Detection and Tracking of Moving Objects Using 2 . 5 D Motion Grids,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu,

 832ebccfecac5728d5c556a8398a0756ae242549,Detection and Tracking of Moving Objects Using 2 . 5 D Motion Grids,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu,

+833a2c168849697aae3589bbeef0cbca22808fe8,"Quantity, Contrast, and Convention in Cross-Situated Language Comprehension",China,China,China,35.86166000,104.19539700,edu,

 8370912226ee7783c459368593bc3f88310b1414,"Biometrics : An Overview of the Technology , Issues and Applications",Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

+83d1617092b34804c3825fdf4292120c382fe043,Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

+83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification.,China,China,China,35.86166000,104.19539700,edu,

+83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification.,China,China,China,35.86166000,104.19539700,edu,

+8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Recognition : A Unified Approach on Tracking and Recognition,India,India,India,20.59368400,78.96288000,edu,

+8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Recognition : A Unified Approach on Tracking and Recognition,India,India,India,20.59368400,78.96288000,edu,

 831226405bb255527e9127b84e8eaedd7eb8e9f9,A Motion-Based Feature for Event-Based Pattern Recognition,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 831226405bb255527e9127b84e8eaedd7eb8e9f9,A Motion-Based Feature for Event-Based Pattern Recognition,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

 83295bce2340cb87901499cff492ae6ff3365475,Deep Multi-Center Learning for Face Alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 83295bce2340cb87901499cff492ae6ff3365475,Deep Multi-Center Learning for Face Alignment,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

 838ed2aae603dec5851ebf5e4bc64b54db7f34be,Real-Time Ensemble Based Face Recognition System for Humanoid Robots,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu,

+83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a,Review : Recent Structure-From-Motion Algorithms 3 D Shape Reconstruction,India,India,India,20.59368400,78.96288000,edu,

+83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a,Review : Recent Structure-From-Motion Algorithms 3 D Shape Reconstruction,India,India,India,20.59368400,78.96288000,edu,

 83a811fd947415df2413d15386dbc558f07595cb,Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+83a811fd947415df2413d15386dbc558f07595cb,Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN,China,China,China,35.86166000,104.19539700,edu,

 83e893858d6a6b8abb07d89e9f821f90c2b074ea,Facial image retrieval based on demographic classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 83e5e6fc0f086017b3e099ec063df94f47427d2c,"Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 837635f647c42d03812a7f4ab5f87c5a49372a0b,Gait Recognition Using Gait Entropy Image,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -2628,8 +3197,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 831b4d8b0c0173b0bac0e328e844a0fbafae6639,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 831b4d8b0c0173b0bac0e328e844a0fbafae6639,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 831b4d8b0c0173b0bac0e328e844a0fbafae6639,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+83df0ec6071dfda29da831860fdb2a1f19a6b3bc,3D Face Recognition Using Joint Differential Invariants,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 83c695de8b42e592b3f23948f90b699b82c0b068,Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 836a4ee4bffafba259e2d824fc89020de86daab0,Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+83968f81f23a34e18e850fe2cf68bab51e22e35c,Attention-driven parts-based object detection,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 8356b642e4e9bb39bd26ea6c4b9bad21bd9b1912,Seeing People in the Dark: Face Recognition in Infrared Images,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 83e8bbbccb8613de490b1a362dd3fedc411cbfe0,A 3 FD : Accurate 3 D Face Detection,University of Milan,University of Milan,"Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA",38.67966620,-90.32628160,edu,

 83acde484baf81ee3a09c30ec250c11c111d2c0a,Tracking articulated human movements witha component based approach to boosted multiple instance learning,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

@@ -2637,6 +3208,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa
 8328ced86dffd1bfe300dca9e960ee328ae9ab0d,Gradient-Domain Techniques for Image & Video Processing,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 bb0071e21e1f00568ea80dd22c5bcef06bdebe2c,Surface Reconstruction of Rotating Objects from Monocular Video,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

 bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,"IBM Research - Zürich, 8803 Rüschlikon, Switzerland","IBM Research - Zürich, 8803 Rüschlikon, Switzerland","Säumerstrasse 4, 8803 Rüschlikon, Switzerland",47.30950160,8.54507160,edu,

 bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,University of Bologna,Università di Bologna,"Via Zamboni, 33, 40126 Bologna BO, Italy",44.49623180,11.35415700,edu,

 bb31312a7f07486676cae4f7a2ad7da43b0700e2,The impact of privacy protection filters on gender recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 bb31312a7f07486676cae4f7a2ad7da43b0700e2,The impact of privacy protection filters on gender recognition,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

@@ -2652,17 +3224,27 @@ bbd9b5e4d4761d923d21a060513e826bf5bfc620,Harvesting Multiple Views for Marker-Le
 bbd9b5e4d4761d923d21a060513e826bf5bfc620,Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu,

 bb1bc9df5e9cec3e8a03a027b8016b8fc25be73a,Improving Bi-directional Generation between Different Modalities with Variational Autoencoders,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 bb65479d3f38b73826596e5da9dbf5ee4199d42c,Scale Aggregation Network for Accurate and Efficient Crowd Counting,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu,

+bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu,

+bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu,

+bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu,

 bbf56398dba5593a2aed1c3857fa011442b3aed6,Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting,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,

 bbe949c06dc4872c7976950b655788555fe513b8,Automatic Frequency Band Selection for Illumination Robust Face Recognition,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 bb55301662e6bf9933b5ecd5c3602b4298c9b14d,STATISTICAL ESTIMATORS FOR USE IN AUTOMATIC LIP SEGMENTATION,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 bbbc815f6329798fcc72c6c620499eb0d1bda073,CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 bbbc815f6329798fcc72c6c620499eb0d1bda073,CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles,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,

+bbbc815f6329798fcc72c6c620499eb0d1bda073,CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles,China,China,China,35.86166000,104.19539700,edu,

+bb7c093c41fcec269b6a7a950902cc95429bb289,Robust video object tracking via Bayesian model averaging based feature fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 bb491d3bd43d8fb018cb7f14ca4a17738225bafb,De-genderization by body contours reshaping,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 bb4362bd6f0bc5bb467fc8f169723243caa97d1d,"Joint learning of visual attributes, object classes and visual saliency","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 bb4362bd6f0bc5bb467fc8f169723243caa97d1d,"Joint learning of visual attributes, object classes and visual saliency","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

-bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu,

+bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu,

+bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu,

+bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu,

 bbc4b376ebd296fb9848b857527a72c82828fc52,Attributes for Improved Attributes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 bbc4b376ebd296fb9848b857527a72c82828fc52,Attributes for Improved Attributes,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

+bbc76f0e50ab96e7318816e24c65fd3459d0497c,Survey of Pedestrian Detection for Advanced Driver Assistance Systems,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 bbb71cbca731295758563acdc67273b99618e1c0,SwapNet: Image Based Garment Transfer,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 bbb71cbca731295758563acdc67273b99618e1c0,SwapNet: Image Based Garment Transfer,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 bb6bf94bffc37ef2970410e74a6b6dc44a7f4feb,Situation Recognition with Graph Neural Networks Supplementary Material,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -2672,14 +3254,18 @@ bba153ebdf11e6fb8716e35749c671ac96c14176,Image Crowd Counting Using Convolutiona
 bbc4bdab563b8b4cea55dfd6a7ea32680e082933,Normalized Autobinomial Markov Channels For Pedestrian Detection,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 bbcf6f54d3e991f85a949544abf20b781d5ba2ed,eighted principal component extraction with genetic algorithms,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,China,China,China,35.86166000,104.19539700,edu,

 bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,China,China,China,35.86166000,104.19539700,edu,

+bb97664df153ac563e46ec2233346129cafe601b,A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance,India,India,India,20.59368400,78.96288000,edu,

 bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Complex Scene Understanding,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 5830e0816667e08bb0efca538d892ea329307daa,Filling the Joints : Completion and Recovery of Incomplete 3 D Human Poses †,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu,

 584909d2220b52c0d037e8761d80cb22f516773f,OCR-Free Transcript Alignment,Open University,The Open University,"The Open University, East Lane, Walton, Monkston, Milton Keynes, South East, England, MK7 6AE, UK",52.02453775,-0.70927481,edu,

 584909d2220b52c0d037e8761d80cb22f516773f,OCR-Free Transcript Alignment,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 584909d2220b52c0d037e8761d80cb22f516773f,OCR-Free Transcript Alignment,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 5820ba4c09695ce677a5aca6b0628c024303e60b,Semantic Correspondence: A Hierarchical Approach,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+58542eeef9317ffab9b155579256d11efb4610f2,"Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten",India,India,India,20.59368400,78.96288000,edu,

 5853875ecc400b3b365f73cbf44e8680da2bc5ca,Harvesting visual concepts for image search with complex queries,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 5849635e61ed7d6358f65f5a228a5148e4fea3b8,Deep Watershed Transform for Instance Segmentation,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 582519e667fe1520dedaa04ffacbb2161b6a5b84,On GANs and GMMs,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

@@ -2690,6 +3276,7 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 58bac838068df358b536850a84ff806a23f061fc,An information theoretic approach to joint probabilistic face detection and tracking,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 58ef0c54f01073e43ae5e9662f450002540355e9,Semi-Supervised Zero-Shot Classification with Label Representation Learning,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 58ef0c54f01073e43ae5e9662f450002540355e9,Semi-Supervised Zero-Shot Classification with Label Representation Learning,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

+58db008b204d0c3c6744f280e8367b4057173259,Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

 58303432a25cc86bfe9c77cf4c04f91695a24304,Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 58303432a25cc86bfe9c77cf4c04f91695a24304,Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 58c3e04e8105cf8f2721c4a4a6487db752bb8852,Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -2706,20 +3293,29 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu,

+58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu,

 5806ff24d62e868b73312f704e7ad8d74eecfbc0,Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu,

 58628e64e61bd2776a2a7258012eabe3c79ca90c,Active Grounding of Visual Situations,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

 58628e64e61bd2776a2a7258012eabe3c79ca90c,Active Grounding of Visual Situations,Santa Fe Institute,Santa Fe Institute,"Santa Fe Institute, Hyde Park Road, Santa Fe, Santa Fe County, New Mexico, 87501, USA",35.70028780,-105.90864847,edu,

+58970f1f51432a094faaeb3f4f70aa1778d61a42,Face Alignment Via Component-Based Discriminative Search,China,China,China,35.86166000,104.19539700,edu,

+5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e,Sparse Matching of Salient Facial Curves for Recognizing 3 D Faces,India,India,India,20.59368400,78.96288000,edu,

 585260468d023ffc95f0e539c3fa87254c28510b,Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 580e48d3e7fe1ae0ceed2137976139852b1755df,THE EFFECTS OF MOTION AND ORIENTATION ON PERCEPTION OF FACIAL EXPRESSIONS AND FACE RECOGNITION,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 58d76380d194248b3bb291b8c7c5137a0a376897,FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 58d76380d194248b3bb291b8c7c5137a0a376897,FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 58eba9930b63cc14715368acf40017293b8dc94f,What Do I See? Modeling Human Visual Perception for Multi-person Tracking,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 589cf8d6e4d6dd7372b469814d4e369f318a17d3,Local Patch Vectors Encoded by Fisher Vectors for Image Classification,HoHai University,HoHai University,"河海大学, 河海路, 小市桥, 鼓楼区, 南京市, 江苏省, 210013, 中国",32.05765485,118.75500040,edu,

+589cf8d6e4d6dd7372b469814d4e369f318a17d3,Local Patch Vectors Encoded by Fisher Vectors for Image Classification,China,China,China,35.86166000,104.19539700,edu,

 58622d45472f454ea64fd456d9b52ed9f7dad7f4,Web-scale computer vision using MapReduce for multimedia data mining,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu,

 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu,

+58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

+58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu,

 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu,

 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 5811944e93a1f3e35ece7a70a43a3de95c69b5ab,Convolutional neural networks for attribute-based active authentication on mobile devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 5811944e93a1f3e35ece7a70a43a3de95c69b5ab,Convolutional neural networks for attribute-based active authentication on mobile devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -2734,8 +3330,11 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70,Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

 589b1677d6de28c47693c5816c32698860c32d10,"Tri-modal Person Re-identification with RGB, Depth and Thermal Features",Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 580f86f1ace1feed16b592d05c2b07f26c429b4b,Dense-Captioning Events in Videos,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7,Towards a Unified 3 D Affective Model,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

 58ecbe5e7d10b4176ceaecc36ae05e15908289c2,Intelligent Health Recommendation System for Computer Users,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 58ecbe5e7d10b4176ceaecc36ae05e15908289c2,Intelligent Health Recommendation System for Computer Users,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+58ecbe5e7d10b4176ceaecc36ae05e15908289c2,Intelligent Health Recommendation System for Computer Users,China,China,China,35.86166000,104.19539700,edu,

+58a3d1e4745d047429facc96685d31da86eaccd4,AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving,"Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu,

 0d75052f1d7350fa035a35566555ce7b65d1cd2f,Oracle Performance for Visual Captioning,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 0dbacb4fd069462841ebb26e1454b4d147cd8e98,Recent advances in discriminant non-negative Matrix Factorization,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 0d57d3d2d04fc96d731cac99a7a8ef79050dac75,Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

@@ -2745,6 +3344,8 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 0da75b0d341c8f945fae1da6c77b6ec345f47f2a,The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People With Visual Impairments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 0da2a7ee04092645867614db3574cb261f33b6e2,Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 0db6a58927a671c01089c53248b0e1c36bdc3231,Efficient Point Process Inference for Large-Scale Object Detection,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

+0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 0dceca6bb3ac648c611f7097cf52a9b7f59be6f9,An Egocentric Look at Video Photographer Identity,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 0dcff2dbf287a6e2937f495e1cd887297863296d,A Novel Method for Estimating Free Space 3D Point-of-Regard Using Pupillary Reflex and Line-of-Sight Convergence Points,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 0dcff2dbf287a6e2937f495e1cd887297863296d,A Novel Method for Estimating Free Space 3D Point-of-Regard Using Pupillary Reflex and Line-of-Sight Convergence Points,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

@@ -2760,6 +3361,7 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 0d7f770c3b6857d5ef5dfe5f1b23e69f4a575fd3,Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0d7f770c3b6857d5ef5dfe5f1b23e69f4a575fd3,Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 0d7f770c3b6857d5ef5dfe5f1b23e69f4a575fd3,Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+0d21472dbf20d4c1bd48a15267b4a59eff80e309,Multi-component models for object detection,China,China,China,35.86166000,104.19539700,edu,

 0d57ba12a6d958e178d83be4c84513f7e42b24e5,"Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.",Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 0d6f874b5a0772d1ea88e85a010a01e381d02982,Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 0df90f86da6e92c7a351be6d5f7cf9c1452124d0,Person Search by Multi-Scale Matching,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -2771,6 +3373,7 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 0d08ab78ce86e053ff3003aef951a5174d56beb8,A Thermal Infrared Video Benchmark for Visual Analysis,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 0dc3c1677e7d76133e5ebc7b62ae23524e289627,Comparing Fairness Criteria Based on Social Outcome,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 0dc3c1677e7d76133e5ebc7b62ae23524e289627,Comparing Fairness Criteria Based on Social Outcome,Santa Fe Institute,Santa Fe Institute,"Santa Fe Institute, Hyde Park Road, Santa Fe, Santa Fe County, New Mexico, 87501, USA",35.70028780,-105.90864847,edu,

+0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a,Detection and Tracking of Faces in Videos: A Review of Related Work,India,India,India,20.59368400,78.96288000,edu,

 0d35ab4d59c3731986965dcc935d11074832bc1d,Detecting adversarial example attacks to deep neural networks,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu,

 0d5d0d4553e7049fe485a87013710c838adfb8b0,On Optimisation of Smart Card Face Verification Systems,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 0d7810ba414b746b0d4f73aa94042bb0ea8f324d,Attention-based Few-Shot Person Re-identification Using Meta Learning,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

@@ -2780,11 +3383,13 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 0daf696253a1b42d2c9d23f1008b32c65a9e4c1e,Unsupervised discovery of facial events,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,

 0d4c620aa869585e31ca7018c813569f3ec1a028,Survey on Vision-Based Path Prediction,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu,

 0d4c620aa869585e31ca7018c813569f3ec1a028,Survey on Vision-Based Path Prediction,Hiroshima University,Hiroshima University,"Hiroshima University　広島大学 東広島キャンパス, 出会いの道　Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu,

+0dc49271dc30794c8d4e7f9da025880fcdc8498b,Cascaded Mutual Modulation for Visual Reasoning,China,China,China,35.86166000,104.19539700,edu,

 0dc49271dc30794c8d4e7f9da025880fcdc8498b,Cascaded Mutual Modulation for Visual Reasoning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 0df0d1adea39a5bef318b74faa37de7f3e00b452,Appearance-based gaze estimation in the wild,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 0dde6981047067692793b71a2f7ad6a8708741d8,MODELING PHYSICAL PERSONALITIES FOR VIRTUAL AGENTS BY MODELING TRAIT IMPRESSIONS OF THE FACE: A NEURAL NETWORK ANALYSIS by SHERYL BRAHNAM,City University of New York,The City University of New York,"Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA",40.87228250,-73.89489171,edu,

 0d2e29f07275fe05a44b04f16cd3edd0c3f448f0,Development of the Korean Facial Emotion Stimuli: Korea University Facial Expression Collection 2nd Edition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

 0d2e29f07275fe05a44b04f16cd3edd0c3f448f0,Development of the Korean Facial Emotion Stimuli: Korea University Facial Expression Collection 2nd Edition,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

+0dd74bbda5dd3d9305636d4b6f0dad85d6e19572,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0de0c329e07ffb91d100424259a4a18973d731a9,Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 0dfa460a35f7cab4705726b6367557b9f7842c65,Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 0d1d7471e8b08a4577b60a63b35fbd88dbf38ec0,A dataset for workflow recognition in industrial scenes,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

@@ -2798,13 +3403,14 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com
 0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e,Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e,Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e,Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306,Review of Perceptual Resemblance of Local Plastic Surgery Facial Images using Near Sets,India,India,India,20.59368400,78.96288000,edu,

 0d725e4fea8bbaf332d6a8d424ebecbd547a3851,Maximum Classifier Discrepancy for Unsupervised Domain Adaptation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 0daaa56d724c11e64338996e99a257fa69900236,Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,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,

-b67fade804ad0ab12e484582190899fea14bc799,Making Better Use of the Crowd,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+b67fade804ad0ab12e484582190899fea14bc799,Making Better Use of the Crowd,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 b68150bfdec373ed8e025f448b7a3485c16e3201,Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 b6dc63cdd08e19cf6ec0aac08a0f82a17c8c370a,Tracking for Learning an Object Representation from Unlabeled Data,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 b6d3caccdcb3fbce45ce1a68bb5643f7e68dadb3,Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -2814,17 +3420,23 @@ b68881f3528fc39226ffa44220ddb41a467910b5,A preliminary investigation on the sens
 b61c0b11b1c25958d202b4f7ca772e1d95ee1037,Bridging Category-level and Instance-level Semantic Image Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 b6810adcfd507b2e019ebc8afe4f44f953faf946,ML-LocNet: Improving Object Localization with Multi-view Learning Network,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 b6810adcfd507b2e019ebc8afe4f44f953faf946,ML-LocNet: Improving Object Localization with Multi-view Learning Network,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

-b6ef158d95042f39765df04373c01546524c9ccd,Im 2 vid : Future Video Prediction for Static Image Action Recognition,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+b6ef158d95042f39765df04373c01546524c9ccd,Im 2 vid : Future Video Prediction for Static Image Action Recognition,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,China,China,China,35.86166000,104.19539700,edu,

+b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,China,China,China,35.86166000,104.19539700,edu,

 b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,China,China,China,35.86166000,104.19539700,edu,

 b6145d3268032da70edc9cfececa1f9ffa4e3f11,Face Recognition Using the Discrete Cosine Transform,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

+b6aaaf6290ba0ca13be61d122907617f1ea86315,Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT,China,China,China,35.86166000,104.19539700,edu,

 b6862bb11e7e72f7c2e71de9d8e5aa731f8a0df7,Probabilistic combination of static and dynamic gait features for verification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 b6052dc718c72f2506cfd9d29422642ecf3992ef,A Survey on Human Motion Analysis from Depth Data,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

+b6052dc718c72f2506cfd9d29422642ecf3992ef,A Survey on Human Motion Analysis from Depth Data,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 b6052dc718c72f2506cfd9d29422642ecf3992ef,A Survey on Human Motion Analysis from Depth Data,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 b6bf15f123a814538fff5db757a474be6fc0c72f,Event-Centric Twitter Photo Summarization,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 b6946370d6c13d562b96e42d494817c7d1969a8f,Refining Bounding-Box Regression for Object Localization,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

@@ -2834,9 +3446,12 @@ b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional exp
 b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional expressions predicts evaluation of emotionally neutral faces.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional expressions predicts evaluation of emotionally neutral faces.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional expressions predicts evaluation of emotionally neutral faces.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

+b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b64cfb39840969b1c769e336a05a30e7f9efcd61,CRF-Based Context Modeling for Person Identification in Broadcast Videos,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-２ Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu,

 b64cfb39840969b1c769e336a05a30e7f9efcd61,CRF-Based Context Modeling for Person Identification in Broadcast Videos,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

 b6a01cd4572b5f2f3a82732ef07d7296ab0161d3,Kernel-Based Supervised Discrete Hashing for Image Retrieval,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,

+b6d794f73ef7f2a6ffb4738a7dee334f512046bf,Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b6a3802075d460093977f8566c451f950edf7a47,Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understanding,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 b61a3f8b80bbd44f24544dc915f52fd30bbdf485,"Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 b613ea6c4fb5efdf17af090d64e9bdce41e28711,Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

@@ -2845,16 +3460,24 @@ b613ea6c4fb5efdf17af090d64e9bdce41e28711,Where and When to Look? Spatio-temporal
 b613ea6c4fb5efdf17af090d64e9bdce41e28711,Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 b6d977251b551471f5dddfb0a2e8f9c542e684d2,Recurrent Tubelet Proposal and Recognition Networks for Action Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 b6d977251b551471f5dddfb0a2e8f9c542e684d2,Recurrent Tubelet Proposal and Recognition Networks for Action Detection,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+b6d977251b551471f5dddfb0a2e8f9c542e684d2,Recurrent Tubelet Proposal and Recognition Networks for Action Detection,China,China,China,35.86166000,104.19539700,edu,

 b68e8550eb4be5f36b30b15487a15226729ae379,Extracting biometric binary strings with minimal area under the FRR curve for the hamming distance classifier,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 b603bcd53a045c7c991106423c79d5a2975b3da4,Unpaired Multi-Domain Image Generation via Regularized Conditional GANs,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,India,India,India,20.59368400,78.96288000,edu,

+b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,India,India,India,20.59368400,78.96288000,edu,

+b658fefafe36edf7c62fbc9eb728ef971f478e27,Learning a low-rank shared dictionary for object classification,Pennsylvania State University,Pennsylvania State University,,,,edu,

 b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,India,India,India,20.59368400,78.96288000,edu,

+b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,India,India,India,20.59368400,78.96288000,edu,

 b6f758be954d34817d4ebaa22b30c63a4b8ddb35,A Proximity-Aware Hierarchical Clustering of Faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 b62ffb6a17d75363c8873a236f1d8c49d07c8a0e,An MRF-Poselets Model for Detecting Highly Articulated Humans,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 b657702aed7aff8f1a86fa32d30a07197f8348c5,Adaptive Contour Fitting for Pose-Invariant 3D Face Shape Reconstruction,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

-b6d0e461535116a675a0354e7da65b2c1d2958d4,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+b6d0e461535116a675a0354e7da65b2c1d2958d4,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+b6d0e461535116a675a0354e7da65b2c1d2958d4,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 b67af2d6023d89ebc8d7ecb4d6da19c5b25fb7f8,Conditional Models for 3 D Human Pose Estimation by ATUL KANAUJIA Dissertation Director :,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Application to Shape Analysis,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

+2e1ff08fb5790e3b5ba7864408628467795a9df4,Human Pose Estimation with Fields of Parts,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 2edc6df161f6aadbef9c12408bdb367e72c3c967,Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild,University of Oulu,University 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,

 2edc6df161f6aadbef9c12408bdb367e72c3c967,Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild,University of Oulu,University 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,

 2edc6df161f6aadbef9c12408bdb367e72c3c967,Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild,University of Oulu,University 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,

@@ -2867,6 +3490,8 @@ b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Ap
 2e105974d58cdefcc866c5f6ca73ea033881ddd7,Question Type Guided Attention in Visual Question Answering,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,

 2e105974d58cdefcc866c5f6ca73ea033881ddd7,Question Type Guided Attention in Visual Question Answering,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 2ed3ce5cf9e262bcc48a6bd998e7fb70cf8a971c,Active AU Based Patch Weighting for Facial Expression Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

+2ed3ce5cf9e262bcc48a6bd998e7fb70cf8a971c,Active AU Based Patch Weighting for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu,

+2eb37a3f362cffdcf5882a94a20a1212dfed25d9,Local Feature Based Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 2e17cf6a339fd071ad222062f868e882ef4120a4,Inferring and Executing Programs for Visual Reasoning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 2e59865aa2ddcecaf9275abcad9b134558c686c2,Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 2e59865aa2ddcecaf9275abcad9b134558c686c2,Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

@@ -2913,15 +3538,20 @@ b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Ap
 2e786f3353667b537636fc1912118961e512be88,Visual Tracking of Multiple Humans with Machine Learning based Robustness Enhancement applied to Real-World Robotic Systems,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 2e8eb9dc07deb5142a99bc861e0b6295574d1fbd,Analysis by Synthesis: 3D Object Recognition by Object Reconstruction,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 2e8eb9dc07deb5142a99bc861e0b6295574d1fbd,Analysis by Synthesis: 3D Object Recognition by Object Reconstruction,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

+2e956e178fd50ab140f30f9255a83d853c8be210,Robust Facial Expression Recognition via Compressive Sensing,China,China,China,35.86166000,104.19539700,edu,

 2e231f1e7e641dd3619bec59e14d02e91360ac01,Fusion Network for Face-Based Age Estimation,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 2e231f1e7e641dd3619bec59e14d02e91360ac01,Fusion Network for Face-Based Age Estimation,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu,

 2ec55c3fb5fa493ebfacc58115cf28f283a50a02,How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+2e0bd693d12c43c2e86c7a4d8809445f380c5556,Webcam classification using simple features,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 2e0bd693d12c43c2e86c7a4d8809445f380c5556,Webcam classification using simple features,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,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,

 2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,China,China,China,35.86166000,104.19539700,edu,

 2e68f29f26f91985e0ad12b3229e46edefe1e871,Discovering Shades of Attribute Meaning with the Crowd,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+2e8a0cc071017845ee6f67bd0633b8167a47abed,Spatio-temporal covariance descriptors for action and gesture recognition,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 2e8a0cc071017845ee6f67bd0633b8167a47abed,Spatio-temporal covariance descriptors for action and gesture recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+2e585adbe1f434396ca6a669dd91914d4d4bf42a,Early Prediction for Physical Human Robot Collaboration in the Operating Room,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2eb1dc9d1cf571462f7bc616b0dc52c8e402e331,"Towards Speech Emotion Recognition ""in the wild"" using Aggregated Corpora and Deep Multi-Task Learning",University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 2e55a287328b234db16fb538eddbbc185d51582a,UTS-CMU-D 2 DCRC Submission at TRECVID 2016 Video Localization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 2e55a287328b234db16fb538eddbbc185d51582a,UTS-CMU-D 2 DCRC Submission at TRECVID 2016 Video Localization,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,

@@ -2937,6 +3567,9 @@ b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Ap
 e24ab3b2a7b5938a48ea3c8c4bc29be2b02299fb,A Face Recognition System for Automated Door Opening with parallel Health Status Validation Using the Kinect v 2,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu,

 e2113e6c136c87802a35e75122db7e4e57c9774d,Grounding Referring Expressions in Images by Variational Context,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 e2aafdd2f508ee383a0227de9cee00246f251ebf,Face Matching Under Time Pressure and Task Demands,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition",India,India,India,20.59368400,78.96288000,edu,

+e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition",India,India,India,20.59368400,78.96288000,edu,

+e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition",India,India,India,20.59368400,78.96288000,edu,

 e22336dc29306ccd938c9a2ae06e3919321dcb8d,Cross-linguistic differences and similarities in image descriptions,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 e20abf7143f4a224824c3db7213049dee2573b4e,An investigation of the relationship between activation of a social cognitive neural network and social functioning.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 e2b093c6ebe4352ba9a1b281c621b798aae8d71c,NNEval: Neural Network Based Evaluation Metric for Image Captioning,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

@@ -2944,9 +3577,11 @@ e2373a719f882842f4ec220d6fcb184a13a3e565,INTEGRATION OF MULTIPLE CUES IN BIOMETR
 e24a5e843d2ea999393b9f278f4b5c80f8a651d1,Learning to Learn with Compound HD Models,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 e20e2db743e8db1ff61279f4fda32bf8cf381f8e,Deep Cross Polarimetric Thermal-to-Visible Face Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 e2fb33d0ba0fe5e0c33b576e090b10fa4741d12d,Anonymizing k Facial Attributes via Adversarial Perturbations,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+e2fb33d0ba0fe5e0c33b576e090b10fa4741d12d,Anonymizing k Facial Attributes via Adversarial Perturbations,India,India,India,20.59368400,78.96288000,edu,

 e20469c66f44e6e18eccc722ef3f74a630d102df,peepHole : Securing your homes with Raspberry Pi and Amazon Echo,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 e20469c66f44e6e18eccc722ef3f74a630d102df,peepHole : Securing your homes with Raspberry Pi and Amazon Echo,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 e20469c66f44e6e18eccc722ef3f74a630d102df,peepHole : Securing your homes with Raspberry Pi and Amazon Echo,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

+e267c813d8804019fbd8e018171dd05255b10fee,PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES FOR FACE AUTHENTICATION,"National Institute of Technology Silchar, India","National Institute of Technology Silchar, India","NIT Road, Fakiratilla, Silchar, Assam 788010, India",24.75771440,92.79229290,edu,

 e225a7cbfce4f7c9c29507c04190e6d6b6b46f7f,Label Denoising Adversarial Network ( LDAN ) for Inverse Lighting of Faces,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 e26b87ff2e1553f4ee0d8b657295187abc6f312c,Whodunnit? Crime Drama as a Case for Natural Language Understanding,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 e22adcd2a6a7544f017ec875ce8f89d5c59e09c8,Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -2963,7 +3598,7 @@ e22406cff5049dec33dcc8c60fa79cbf4c28ab67,Stereo Vision-Based Semantic 3D Object
 e2bc01813d6ef50194588086e2adea42bdf2323b,The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 e2272f50ffa33b8e41509e4b795ad5a4eb27bb46,Region-based semantic segmentation with end-to-end training,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 e217382ceed42605eb2a9b570c55f9622635e111,Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-e217382ceed42605eb2a9b570c55f9622635e111,Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+e217382ceed42605eb2a9b570c55f9622635e111,Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu,

 e224837e5da588438c8e51665f1c253f90be9400,A Fast and Robust Automatic Face Alignment System,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 e2d969752015f90d50a2e85c19d5b391011bc9a3,Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 e2d969752015f90d50a2e85c19d5b391011bc9a3,Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -2982,6 +3617,7 @@ e2f24d01d7236d60f3829570ae111bedddcf4586,Racial categories in machine learning,"
 e20ab84ac7fa0a5d36d4cf2266b7065c60e1c804,Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 e205faa8febcb7e33c482b00f84939b153575292,An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds,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,

 e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimodal Dialogue Generation,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

+e23a75430f777e982b0715b6f8a048d4bbfea438,Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification,"Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology Bombay, Mumbai, India","Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India",19.13343020,72.91326790,edu,

 7e435d78693aec1b87b6f690a8716a60a5e5ff8c,Multimodal sentiment analysis with word-level fusion and reinforcement learning,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,

 7e435d78693aec1b87b6f690a8716a60a5e5ff8c,Multimodal sentiment analysis with word-level fusion and reinforcement learning,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,

 7e435d78693aec1b87b6f690a8716a60a5e5ff8c,Multimodal sentiment analysis with word-level fusion and reinforcement learning,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,

@@ -3001,7 +3637,9 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod
 7ee610cd384cf1950d6254562e00490ad05eec57,Selecting optimal orientations of Gabor wavelet filters for facial image analysis,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 7e225e3e61527f35b7bf44d47e12cbadfc9441f8,Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 7e186b41f5d2cfdf1940009e61d4e34a47b33c7c,Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

+7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f,Face Sketch to Photo Matching Using LFDA and Pre-Processing,India,India,India,20.59368400,78.96288000,edu,

 7e984bbad042b145d1ff8351c4a7c5fb6a81e0b1,Graininess-Aware Deep Feature Learning for Pedestrian Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+7e984bbad042b145d1ff8351c4a7c5fb6a81e0b1,Graininess-Aware Deep Feature Learning for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 7e01ce7a1c14971088afa3ee73f92db451e2c536,A Task-Oriented Approach for Cost-Sensitive Recognition,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 7ebb153704706e457ab57b432793d2b6e5d12592,Faces in Places: compound query retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 7ee17d2001c9fcef63e3a56610cacc743861d944,Extracting Databases from Dark Data with DeepDive,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -3010,6 +3648,7 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod
 7e18b5f5b678aebc8df6246716bf63ea5d8d714e,Increased Loss Aversion in Unmedicated Patients with Obsessive–Compulsive Disorder,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu,

 7e18b5f5b678aebc8df6246716bf63ea5d8d714e,Increased Loss Aversion in Unmedicated Patients with Obsessive–Compulsive Disorder,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu,

 7e18b5f5b678aebc8df6246716bf63ea5d8d714e,Increased Loss Aversion in Unmedicated Patients with Obsessive–Compulsive Disorder,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+7e2ff809f2f38eaf070fe36ad054e61c31b6b9e8,"Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 7e6b11674e989d6a86afda241a51f7fa3790b93e,Distance Preserving Projection Space of Symmetric Positive Definite Manifolds,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 7e6b11674e989d6a86afda241a51f7fa3790b93e,Distance Preserving Projection Space of Symmetric Positive Definite Manifolds,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 7e6b11674e989d6a86afda241a51f7fa3790b93e,Distance Preserving Projection Space of Symmetric Positive Definite Manifolds,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -3019,6 +3658,7 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod
 7e4b638e028498e900747b600f46cd723f1f231e,Data Augmentation for Visual Question Answering,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 7e51a42049193726e9ac547b76e929d803e441f3,Holistic processing of the mouth but not the eyes in developmental prosopagnosia.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 7e51a42049193726e9ac547b76e929d803e441f3,Holistic processing of the mouth but not the eyes in developmental prosopagnosia.,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

+7e79c3a92f60c55a6970f89acfa152bcf74823e0,Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations,India,India,India,20.59368400,78.96288000,edu,

 7ef41e2be5116912fe8a4906b4fb89ac9dcf819d,A hybrid face recognition method using Markov random fields,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 7e00fb79576fe213853aeea39a6bc51df9fdca16,Online multi-face detection and tracking using detector confidence and structured SVMs,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 7e467e686f9468b826133275484e0a1ec0f5bde6,Efficient On-the-fly Category Retrieval using ConvNets and GPUs,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -3034,6 +3674,10 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod
 7e1e189fff0b0cef3c231e6b2d01b65bef6027e7,A Concept of Bimodal Visual Emotion Recognition in Computer Users,AGH University of Science and Technology,AGH University of Science and Technology,"AGH, Władysława Reymonta, Czarna Wieś, Krowodrza, Kraków, małopolskie, 30-059, RP",50.06570330,19.91895867,edu,

 7ec4b0dc697d87cbda4deb8dcdad24294b21b4e8,Constrained Active Appearance Models,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,China,China,China,35.86166000,104.19539700,edu,

+7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,China,China,China,35.86166000,104.19539700,edu,

+7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,China,China,China,35.86166000,104.19539700,edu,

+7ed1b3a0c270c6cac133e91858e3848d843e1ec2,Principal Component Analysis With Complex Kernels,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9,Exploring bounding box context for multi-object tracker fusion,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 7ed5392ad9582662f84b79683678272572225434,Object Localization by Subspace Clustering of Local Descriptors,University of Oulu,University 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,

 7ed3b79248d92b255450c7becd32b9e5c834a31e,L 1-regularized Logistic Regression Stacking and Transductive CRF Smoothing for Action Recognition in Video,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

@@ -3050,9 +3694,12 @@ fdbacf2ff0fc21e021c830cdcff7d347f2fddd8e,Recognizing Frustration of Drivers From
 fde41dc4ec6ac6474194b99e05b43dd6a6c4f06f,Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 fd892e912149e3f5ddd82499e16f9ea0f0063fa3,Isyn Initialization Minimizing E ( Φ ) Analysis Synthesis Fitted model Redirection optical ow Warp eyelids Overlay eyeballs Stage 1 : Eye region tracking Stage 2 : Eye gaze redirection Input image Iobs New gaze target g ’ Iobs,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 fd892e912149e3f5ddd82499e16f9ea0f0063fa3,Isyn Initialization Minimizing E ( Φ ) Analysis Synthesis Fitted model Redirection optical ow Warp eyelids Overlay eyeballs Stage 1 : Eye region tracking Stage 2 : Eye gaze redirection Input image Iobs New gaze target g ’ Iobs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+fd892e912149e3f5ddd82499e16f9ea0f0063fa3,Isyn Initialization Minimizing E ( Φ ) Analysis Synthesis Fitted model Redirection optical ow Warp eyelids Overlay eyeballs Stage 1 : Eye region tracking Stage 2 : Eye gaze redirection Input image Iobs New gaze target g ’ Iobs,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 fdff2da5bdca66e0ab5874ef58ac2205fb088ed7,Continuous Supervised Descent Method for Facial Landmark Localisation,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

 fdff2da5bdca66e0ab5874ef58ac2205fb088ed7,Continuous Supervised Descent Method for Facial Landmark Localisation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 fdff2da5bdca66e0ab5874ef58ac2205fb088ed7,Continuous Supervised Descent Method for Facial Landmark Localisation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

+fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,China,China,China,35.86166000,104.19539700,edu,

+fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,China,China,China,35.86166000,104.19539700,edu,

 fdfceb0fd9561723e604bed586bca9a8450c207e,Graph R-CNN for Scene Graph Generation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 fdf8e293a7618f560e76bd83e3c40a0788104547,Interspecies Knowledge Transfer for Facial Keypoint Detection,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 fdf8e293a7618f560e76bd83e3c40a0788104547,Interspecies Knowledge Transfer for Facial Keypoint Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

@@ -3064,7 +3711,9 @@ fdabbcb3b49201a942fd36836563ef4ead86bc28,End-to-end learning potentials for stru
 fd7b6c77b46420c27725757553fcd1fb24ea29a8,MEXSVMs : Mid-level Features for Scalable Action Recognition,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 fd9d7efd0ecff49249844a0096e77b2f864fae0d,Language Guided Fashion Image Manipulation with Feature-wise Transformations,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu,

 fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f,Real-Time Semantic Clothing Segmentation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+fd67b9812fa4aef6c5dfb633df4406105cdb4e8f,Zero-Shot Learning with Generative Latent Prototype Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 fd36e838ffc2f56afdbd87a98f1dc4e05d20ed33,Robot-Centric Activity Recognition 'in the Wild',University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+fd6d2e4f939b8d804a6b5908bded8f1ad2563e38,Stabilizing GAN Training with Multiple Random Projections,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 fd53be2e0a9f33080a9db4b5a5e416e24ae8e198,Apparent Age Estimation Using Ensemble of Deep Learning Models,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 fdcc1e66697a724bd2d0d2da368de04a7eaf9209,The Devil is in the Decoder,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 fdcc1e66697a724bd2d0d2da368de04a7eaf9209,The Devil is in the Decoder,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

@@ -3076,16 +3725,19 @@ fded99a29bfa03d02709dd23f49b04ce3840af51,Every Smile is Unique: Landmark-Guided
 fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu,

 fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,China,China,China,35.86166000,104.19539700,edu,

 fd451222670d2f185ae3211b5450fd6951e6af51,Surface Normals with Modular Approach and Weighted Voting Scheme in 3 D Facial Expression Classification,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 fd451222670d2f185ae3211b5450fd6951e6af51,Surface Normals with Modular Approach and Weighted Voting Scheme in 3 D Facial Expression Classification,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

 fd7173634abac857405c78564e366c311a1cf4b3,Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c,Simultaneous Stereo Video Deblurring and Scene Flow Estimation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c,Simultaneous Stereo Video Deblurring and Scene Flow Estimation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c,Simultaneous Stereo Video Deblurring and Scene Flow Estimation,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

 fd18475cf9165b33de1587a303fc68c5e77ed630,Visual Question Answering Using Various Methods,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 fdc0754852b9c8366341972f1b5b4320b48d64a9,Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 fd33df02f970055d74fbe69b05d1a7a1b9b2219b,Single Shot Temporal Action Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 fd33df02f970055d74fbe69b05d1a7a1b9b2219b,Single Shot Temporal Action Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 fd71ae9599e8a51d8a61e31e6faaaf4a23a17d81,Action Detection from a Robot-Car Perspective,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+fd71ae9599e8a51d8a61e31e6faaaf4a23a17d81,Action Detection from a Robot-Car Perspective,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural Networks,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 5cfbeae360398de9e20e4165485837bd42b93217,Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach,Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu,

 5cfbeae360398de9e20e4165485837bd42b93217,Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach,Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu,

@@ -3095,22 +3747,30 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 5c820e47981d21c9dddde8d2f8020146e600368f,Extended Supervised Descent Method for Robust Face Alignment,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 5c4d4fd37e8c80ae95c00973531f34a6d810ea3a,The Open World of Micro-Videos,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,

 5cb83eba8d265afd4eac49eb6b91cdae47def26d,Face Recognition with Local Line Binary Pattern,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu,

+5cbed05521a44b568c77879fb0b84e1fa27d12e0,Gait-Based Recognition of Humans Using Continuous HMMs,India,India,India,20.59368400,78.96288000,edu,

+5c92355b2808621d237a89dc7b3faa5cdb990ab5,Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 5c92355b2808621d237a89dc7b3faa5cdb990ab5,Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 5cd2a7ec2b47086b1e9ff6ebc096eae5e03d2f67,Simultaneous super-resolution and feature extraction for recognition of low-resolution faces,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,

 5c9407da2525a9f71be4bc01b2e72a877ee800ea,Spatio-temporal Embedding for Statistical Face Recognition from Video,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+5c9407da2525a9f71be4bc01b2e72a877ee800ea,Spatio-temporal Embedding for Statistical Face Recognition from Video,China,China,China,35.86166000,104.19539700,edu,

 5c9407da2525a9f71be4bc01b2e72a877ee800ea,Spatio-temporal Embedding for Statistical Face Recognition from Video,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 5cbef6da9c2cc630722f1e48a59c3aa84a00c44a,Binary Pattern Analysis for 3D Facial Action Unit Detection,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,

 5cbef6da9c2cc630722f1e48a59c3aa84a00c44a,Binary Pattern Analysis for 3D Facial Action Unit Detection,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,Harbin Institute of Technology (Shenzhen),Harbin Institute of Technology (Shenzhen),"China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu,

 5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0,Reference Face Graph for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5ce2cb4c76b0cdffe135cf24b9cda7ae841c8d49,Facial Expression Intensity Estimation Using Ordinal Information,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 5ce2cb4c76b0cdffe135cf24b9cda7ae841c8d49,Facial Expression Intensity Estimation Using Ordinal Information,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+5c5304b79ebc2afd28ade6bb88daa80144ae3587,Review of Human-Robot Interactive Modelling and Application for Elders,China,China,China,35.86166000,104.19539700,edu,

 5c97cef9cebf101b74699f583f3e324aebccde32,Multi-view multi-modal person authentication from a single walking image sequence,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 5cac869f7e47c290ba14d27a5d6b5aadaddfaa69,Semantically Selective Augmentation for Deep Compact Person Re-Identification,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

-5c3d8cf726f17bbb326551253c810429d332d3f3,Complementing the Execution of AI Systems with Human Computation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+5c3d8cf726f17bbb326551253c810429d332d3f3,Complementing the Execution of AI Systems with Human Computation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 5c3d8cf726f17bbb326551253c810429d332d3f3,Complementing the Execution of AI Systems with Human Computation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 5c6215a32fa943d07cd2d0401d646f93faaf34e1,Latent Semantic Representation Learning for Scene Classification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 5c789a504d8d7192b82f5f5a323b6c55ef2d0c6c,Addressing Ambiguity In Object Instance 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,

@@ -3118,6 +3778,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 5c789a504d8d7192b82f5f5a323b6c55ef2d0c6c,Addressing Ambiguity In Object Instance Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 5c36d8bb0815fd4ff5daa8351df4a7e2d1b32934,GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server,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,

 5c9cfeb77f7e5040a4ca3775e524247a0bcb73db,The truth about cats and dogs,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+5c9cfeb77f7e5040a4ca3775e524247a0bcb73db,The truth about cats and dogs,India,India,India,20.59368400,78.96288000,edu,

 5c9cfeb77f7e5040a4ca3775e524247a0bcb73db,The truth about cats and dogs,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 5cbe1445d683d605b31377881ac8540e1d17adf0,On 3D face reconstruction via cascaded regression in shape space,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 5c48d6ea9b022c077b1873ec48ea4f37a91ac77a,A structural filter approach to human detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -3128,6 +3789,8 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 5c7019fdbcc1a89d4a75ba88565d9ea8324579f4,Face recognition with image sets using manifold density divergence,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 5ca14fa73da37855bfa880b549483ee2aba26669,Face Recognition under Varying Illuminations Using Local Binary Pattern And Local Ternary Pattern Fusion,Punjabi University Patiala,Punjabi University Patiala,"Punjabi University Patiala, Rajpura Road, Patiala, Punjab, 147001, India",30.35689810,76.45512720,edu,

 5ca14fa73da37855bfa880b549483ee2aba26669,Face Recognition under Varying Illuminations Using Local Binary Pattern And Local Ternary Pattern Fusion,Punjabi University Patiala,Punjabi University Patiala,"Punjabi University Patiala, Rajpura Road, Patiala, Punjab, 147001, India",30.35689810,76.45512720,edu,

+5c3dce55c61ee86073575ac75cc882a215cb49e6,Neural Codes for Image Retrieval,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+5c3dce55c61ee86073575ac75cc882a215cb49e6,Neural Codes for Image Retrieval,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 5c3dce55c61ee86073575ac75cc882a215cb49e6,Neural Codes for Image Retrieval,"Moscow Institute of Physics and Technology, Russia","Moscow Institute of Physics and Technology, Russia","МФТИ, 9, Институтский переулок, Виноградовские Горки, Лихачёво, Долгопрудный, городской округ Долгопрудный, Московская область, ЦФО, 141700, РФ",55.92903500,37.51866808,edu,

 5cb8fe6b51813600d5b43a63ca4b8c1cb1237793,PortraitGAN for Flexible Portrait Manipulation,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,

 5c8672c0d2f28fd5d2d2c4b9818fcff43fb01a48,Robust Face Detection by Simple Means,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

@@ -3136,13 +3799,22 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 5c8ae37d532c7bb8d7f00dfde84df4ba63f46297,DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 5ce84883ab78e7e61a4e84a80cce8c86265f6ae9,Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu,

 5c707dc74c3c39674f74dc22f6b6325af456811c,Restoring occluded regions using FW-PCA for face recognition,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

+5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu,

+5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu,

+5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu,

+5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu,

+5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu,

+5cfa8d0384bcdf5dfd7501561c748e69f3a2a747,Lip AUs Detection by Boost-SVM and Gabor,China,China,China,35.86166000,104.19539700,edu,

 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

+5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,China,China,China,35.86166000,104.19539700,edu,

 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

+5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,China,China,China,35.86166000,104.19539700,edu,

 5cca59b7d9f3680cf921ca848065dbc97d9ccd76,Discriminative techniques for the recognition of complex-shaped objects,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,

 5cca59b7d9f3680cf921ca848065dbc97d9ccd76,Discriminative techniques for the recognition of complex-shaped objects,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 5cca59b7d9f3680cf921ca848065dbc97d9ccd76,Discriminative techniques for the recognition of complex-shaped objects,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

+5c77901df1e0f52a9774b39e730c31afbc1214a7,Learning Social Tag Relevance by Neighbor Voting,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5c4c5094f383544aacff6bfefce7f358ceb894bf,Weighting and normalisation of synchronous HMMs for audio-visual speech recognition,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 5c6841db352d54ba6e18f362b8cc6509a15a8fd3,Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

 5c70bca2b3dd0a47b6259d384a709be55a60369e,Model-based approaches for predicting gait changes over time,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

@@ -3159,21 +3831,29 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 7fa3d4be12e692a47b991c0b3d3eba3a31de4d05,Efficient Online Spatio-Temporal Filtering for Video Event Detection,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 7fd700f4a010d765c506841de9884df394c1de1c,Correlational spectral clustering,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu,

 7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,China,China,China,35.86166000,104.19539700,edu,

 7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 7fd73c91462153e16d207faa8ec0e3f507c72ae5,Multi-Sample Fusion with Template Protection.,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 7fd358a0eba775fe9d87f165cb2074fa8fa762e0,Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions,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,

 7fd4e67938d02452e256c69822285778f95eb045,2 LBPM and GEFE 2 . 1 The LBPM for Feature Extraction,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

+7f2a4cd506fe84dee26c0fb41848cb219305173f,SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection,China,China,China,35.86166000,104.19539700,edu,

 7f2a4cd506fe84dee26c0fb41848cb219305173f,SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+7f2a4cd506fe84dee26c0fb41848cb219305173f,SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection,China,China,China,35.86166000,104.19539700,edu,

 7fa5ede4a34dbe604ce317d529eed78db6642bc0,Soft Proposal Networks for Weakly Supervised Object Localization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 7fa5ede4a34dbe604ce317d529eed78db6642bc0,Soft Proposal Networks for Weakly Supervised Object Localization,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,China,China,China,35.86166000,104.19539700,edu,

+7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,China,China,China,35.86166000,104.19539700,edu,

+7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d,"The CMU Pose, Illumination, and Expression Database",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7f8798204ad34d904f9465ce9e97050d0472dbf8,Fully Convolutional Network for Depth Estimation and Semantic Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 7f8798204ad34d904f9465ce9e97050d0472dbf8,Fully Convolutional Network for Depth Estimation and Semantic Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 7f8798204ad34d904f9465ce9e97050d0472dbf8,Fully Convolutional Network for Depth Estimation and Semantic Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

-7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

 7f6599e674a33ed64549cd512ad75bdbd28c7f6c,Kernel Alignment Inspired Linear Discriminant Analysis,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

+7ffef9f26c39377ee937d29b8990580266a7a8a5,Deep Metric Learning with Hierarchical Triplet Loss,China,China,China,35.86166000,104.19539700,edu,

+7ffef9f26c39377ee937d29b8990580266a7a8a5,Deep Metric Learning with Hierarchical Triplet Loss,China,China,China,35.86166000,104.19539700,edu,

 7ffef9f26c39377ee937d29b8990580266a7a8a5,Deep Metric Learning with Hierarchical Triplet Loss,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 7f9832031d61c46f051dad9a0d421338888b6b00,Convolutional Social Pooling for Vehicle Trajectory Prediction,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 7f23a4bb0c777dd72cca7665a5f370ac7980217e,Improving Person Re-identification by Attribute and Identity Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

@@ -3181,6 +3861,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 7f310839e62c2623f6267b533047b323f61d2b27,Learning to Combine Kernels for Object Categorization,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 7f310839e62c2623f6267b533047b323f61d2b27,Learning to Combine Kernels for Object Categorization,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 7f310839e62c2623f6267b533047b323f61d2b27,Learning to Combine Kernels for Object Categorization,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+7f511a6a2b38a26f077a5aec4baf5dffc981d881,Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu,

 7fab17ef7e25626643f1d55257a3e13348e435bd,Age Progression/Regression by Conditional Adversarial Autoencoder,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 7fbf1885f27fb72d5e553c4a2147375f928465ee,Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 7fbf1885f27fb72d5e553c4a2147375f928465ee,Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

@@ -3188,9 +3869,11 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 7f57e9939560562727344c1c987416285ef76cda,Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition,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,

 7f57e9939560562727344c1c987416285ef76cda,Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition,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,

 7f57e9939560562727344c1c987416285ef76cda,Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,

+7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44,Learning a temporally invariant representation for visual tracking,China,China,China,35.86166000,104.19539700,edu,

 7f82f8a416170e259b217186c9e38a9b05cb3eb4,Multi-Attribute Robust Component Analysis for Facial UV Maps,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,

 7f82f8a416170e259b217186c9e38a9b05cb3eb4,Multi-Attribute Robust Component Analysis for Facial UV Maps,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 7f82f8a416170e259b217186c9e38a9b05cb3eb4,Multi-Attribute Robust Component Analysis for Facial UV Maps,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+7f65bbc93cf414d4889773b697b1833e85f0a15f,Neural Perspective to Jigsaw Puzzle Solving,India,India,India,20.59368400,78.96288000,edu,

 7f205b9fca7e66ac80758c4d6caabe148deb8581,Collection Inference Engines Single Modality MultiModality Mobile ' Device ' Cloud ' Infrastructure ' Auditory Physical Activity Gesture & Posture Facial Cues Environment & Space Device Usage Physiological Stress Emotion Mood Personality Traits Dominance,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 7f205b9fca7e66ac80758c4d6caabe148deb8581,Collection Inference Engines Single Modality MultiModality Mobile ' Device ' Cloud ' Infrastructure ' Auditory Physical Activity Gesture & Posture Facial Cues Environment & Space Device Usage Physiological Stress Emotion Mood Personality Traits Dominance,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 7f205b9fca7e66ac80758c4d6caabe148deb8581,Collection Inference Engines Single Modality MultiModality Mobile ' Device ' Cloud ' Infrastructure ' Auditory Physical Activity Gesture & Posture Facial Cues Environment & Space Device Usage Physiological Stress Emotion Mood Personality Traits Dominance,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

@@ -3200,6 +3883,9 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 7fce5769a7d9c69248178989a99d1231daa4fce9,Towards Face Recognition Using Eigenface,King Faisal University,King Faisal University,"University of Dammam, King Faisal Rd, العقربية, الخبر, المنطقة الشرقية, ٣١٩٥٢, السعودية",26.39777800,50.18305600,edu,

 7fc76446d2b11fc0479df6e285723ceb4244d4ef,Laplacian MinMax Discriminant Projection and its Applications,Zhejiang Normal University,Zhejiang Normal University,"浙江师范大学, 688, 迎宾大道, 柳湖花园, 金华市, 婺城区 (Wucheng), 金华市 / Jinhua, 浙江省, 321004, 中国",29.13646725,119.63768652,edu,

 7fc76446d2b11fc0479df6e285723ceb4244d4ef,Laplacian MinMax Discriminant Projection and its Applications,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,China,China,China,35.86166000,104.19539700,edu,

+7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,China,China,China,35.86166000,104.19539700,edu,

+7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,China,China,China,35.86166000,104.19539700,edu,

 7fb5006b6522436ece5bedf509e79bdb7b79c9a7,Multi-Task Convolutional Neural Network for Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2,Robust FEC-CNN: A High Accuracy Facial Landmark Detection System,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2,Robust FEC-CNN: A High Accuracy Facial Landmark Detection System,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -3225,7 +3911,12 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 7fc3442c8b4c96300ad3e860ee0310edb086de94,Similarity scores based on background samples,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

 7fc5b6130e9d474dfb49d9612b6aa0297d481c8e,Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 7fc5b6130e9d474dfb49d9612b6aa0297d481c8e,Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu,

+7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu,

+7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu,

+7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu,

 7fbdb1d05a34d28b7f93544248edf7a2e0b8cd15,POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

+7f268f29d2c8f58cea4946536f5e2325777fa8fa,Facial Emotion Recognition in Curvelet Domain,India,India,India,20.59368400,78.96288000,edu,

 3373ca46fa2c19112aebd772983ce70183ac1690,"Cognition and Behavior Somatosensory Representations Link the Perception of Emotional Expressions and Sensory Experience 1 , 2 , 3",Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 3342018e8defb402896d2133cda0417e49f1e9aa,Face Verification Across Age Progression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 334e559e8decadcedbe8e495b3f5430536cff32c,"The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions",York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

@@ -3234,6 +3925,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 334e559e8decadcedbe8e495b3f5430536cff32c,"The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions",University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu,

 334e65b31ad51b1c1f84ce12ef235096395f1ca7,2 Emotion in Human-Computer Interaction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958,Data-specific Adaptive Threshold for Face Recognition and Authentication,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

+3316521a5527c7700af8ae6aef32a79a8b83672c,People-tracking-by-detection and people-detection-by-tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 33d682c52eb24875c556ec007bc38068d3e682c0,VisDA: The Visual Domain Adaptation Challenge,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 33d682c52eb24875c556ec007bc38068d3e682c0,VisDA: The Visual Domain Adaptation Challenge,"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,

 33f73cf297065ace7f27e8d449765f1c51ef163c,Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -3241,11 +3933,15 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 33737f966cca541d5dbfb72906da2794c692b65b,Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu,

 33737f966cca541d5dbfb72906da2794c692b65b,Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video,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,

 332740a7ababbfa0dbc974433bd5a213197c0dd1,Spectral error correcting output codes for efficient multiclass recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+332740a7ababbfa0dbc974433bd5a213197c0dd1,Spectral error correcting output codes for efficient multiclass recognition,China,China,China,35.86166000,104.19539700,edu,

 33594e1bfe93fc6c74c2bcfc1bc39c524fa9e2ca,Alternating Regression Forests for Object Detection and Pose Estimation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 33ef419dffef85443ec9fe89a93f928bafdc922e,SelfKin: Self Adjusted Deep Model For Kinship Verification,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

+333e7ad7f915d8ee3bb43a93ea167d6026aa3c22,3D Assisted Face Recognition: Dealing With Expression Variations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,China,China,China,35.86166000,104.19539700,edu,

 33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+33e4844a95bc2df4619e6d43bd009b24a20fb79a,Automatic Face Detection Using Color Based Segmentation and Computing Eigen face,India,India,India,20.59368400,78.96288000,edu,

 33f2761d08da1c5b1b6a8f65ee6930075cf9927e,Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 33f2761d08da1c5b1b6a8f65ee6930075cf9927e,Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 33e1398b73c9789debed1168536c93632c6f3f10,Efficiently Scaling Out-of-Order Cores for Simultaneous Multithreading,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

@@ -3253,6 +3949,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 33526226231cce669317ece44e6af262b8395dd9,CRF-CNN: Modeling Structured Information in Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 33526226231cce669317ece44e6af262b8395dd9,CRF-CNN: Modeling Structured Information in Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 33526226231cce669317ece44e6af262b8395dd9,CRF-CNN: Modeling Structured Information in Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+3326838b53788bdb79d3b37b3ddad6a619ce53b1,Recent Advances in the Automatic Recognition of Audio-Visual Speech,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 33abfe693258a4e00467494b11ee4d523379ab6b,Local Discriminant Embedding with Tensor Representation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 33c3702b0eee6fc26fc49f79f9133f3dd7fa3f13,Machine learning techniques for automated analysis of facial expressions,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,

 3394168ff0719b03ff65bcea35336a76b21fe5e4,Object Detection Combining Recognition and Segmentation,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

@@ -3264,17 +3961,23 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 33ac7fd3a622da23308f21b0c4986ae8a86ecd2b,Building an On-Demand Avatar-Based Health Intervention for Behavior Change,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

 3312eb79e025b885afe986be8189446ba356a507,MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu,

 33f885a7e1369128534aa5f3b867bd42de9ec683,Annotation and taxonomy of gestures in lecture videos,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+3352426a67eabe3516812cb66a77aeb8b4df4d1b,Joint Multi-view Face Alignment in the Wild,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3399f8f0dff8fcf001b711174d29c9d4fde89379,Face R-CNN,Tencent,"Tencent AI Lab, China","Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057",22.54471540,113.93571640,company,"Keji Middle 1st Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057"

 3349fab3a5e2b7c5194289bdc839f87f556ea3ef,Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu,

 33f7e78950455c37236b31a6318194cfb2c302a4,Parameterizing Object Detectors in the Continuous Pose Space,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+33f7e78950455c37236b31a6318194cfb2c302a4,Parameterizing Object Detectors in the Continuous Pose Space,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

 33402ee078a61c7d019b1543bb11cc127c2462d2,Self-Supervised Video Representation Learning with Odd-One-Out Networks,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,

 336067ade694c79b5838b2e8158acf18546bc5a5,Visually-Aware Personalized Recommendation using Interpretable Image Representations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 336067ade694c79b5838b2e8158acf18546bc5a5,Visually-Aware Personalized Recommendation using Interpretable Image Representations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu,

+33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,India,India,India,20.59368400,78.96288000,edu,

 33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu,

+33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,India,India,India,20.59368400,78.96288000,edu,

 33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu,

+33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,India,India,India,20.59368400,78.96288000,edu,

 33aff42530c2fd134553d397bf572c048db12c28,From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 33aff42530c2fd134553d397bf572c048db12c28,From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

+33a4744818b2847d7d3650bd547932cdcddc2f04,Sparse Polynomial Mapping for Manifold Learning,China,China,China,35.86166000,104.19539700,edu,

 3303f6694fa1c48afbd6e104b72e98b7f52b1651,Perceptual Adversarial Networks for Image-to-Image Transformation,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 3303f6694fa1c48afbd6e104b72e98b7f52b1651,Perceptual Adversarial Networks for Image-to-Image Transformation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 33030c23f6e25e30b140615bb190d5e1632c3d3b,Toward a General Framework for Words and Pictures,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

@@ -3291,19 +3994,28 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 337e67c8c5247695bb384c35272beaf47d464c75,Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 33f2b44742cc828347ccc5ec488200c25838b664,Pooling the Convolutional Layers in Deep ConvNets for Action Recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 33f2b44742cc828347ccc5ec488200c25838b664,Pooling the Convolutional Layers in Deep ConvNets for Action Recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

+334166a942acb15ccc4517cefde751a381512605,Facial Expression Analysis using Deep Learning,India,India,India,20.59368400,78.96288000,edu,

 335af998fd86806422a4500ee6defc26df8a5388,Nonlinear Dimensionality Reduction Applied to the Binary Classification of Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 335af998fd86806422a4500ee6defc26df8a5388,Nonlinear Dimensionality Reduction Applied to the Binary Classification of Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

+33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

 33867c617e9f264c9e857d73358e0fd5b60a149a,Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 33867c617e9f264c9e857d73358e0fd5b60a149a,Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization,"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,

+33867c617e9f264c9e857d73358e0fd5b60a149a,Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 331429a6994b73c25ca0c4d0e2794e9119ac870c,Sidestepping Intractable Inference with Structured Ensemble Cascades,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 334ac2a459190b41923be57744aa6989f9a54a51,Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu,

+3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 33d1767600148d3c51b7fffcdfbab48e570620d5,An RRT-based navigation approach for mobile robots and automated vehicles,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu,

+33d1767600148d3c51b7fffcdfbab48e570620d5,An RRT-based navigation approach for mobile robots and automated vehicles,"Coimbra, Portugal","Coimbra, Portugal","Coimbra, Portugal",40.20331450,-8.41025730,edu,

+333aa36e80f1a7fa29cf069d81d4d2e12679bc67,Suggesting Sounds for Images from Video Collections,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 33801601485eaa27b838a17e073d81796d8b78d9,A Method to Track Targets in Three-Dimensional Space Using an Imaging Sonar,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 333f083671da1010cbb080c6ce607ed87c19d73d,Multiple Instance Learning Convolutional Neural Networks for object recognition,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 333f083671da1010cbb080c6ce607ed87c19d73d,Multiple Instance Learning Convolutional Neural Networks for object recognition,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 33ba256d59aefe27735a30b51caf0554e5e3a1df,Early active learning via robust representation and structured sparsity,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

+336b2ae3e4db996538f930b754f7d233af56a628,Learning local descriptors by optimizing the keypoint-correspondence criterion,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu,

 33595d1135d9eecbda62bc568d2545aa3161276d,Resampling for Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 8d879f4aa3284aca8d671d8360c6b6f2f0f07a23,Non-local RoIs for Instance Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 8d879f4aa3284aca8d671d8360c6b6f2f0f07a23,Non-local RoIs for Instance Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

@@ -3324,21 +4036,34 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 8d0dffcf36e76ebbb5ff9389750264d9fb77265f,Comparison of Visual Datasets for Machine Learning,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 8d0dffcf36e76ebbb5ff9389750264d9fb77265f,Comparison of Visual Datasets for Machine Learning,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

 8d0dffcf36e76ebbb5ff9389750264d9fb77265f,Comparison of Visual Datasets for Machine Learning,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu,

+8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,India,India,India,20.59368400,78.96288000,edu,

+8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,India,India,India,20.59368400,78.96288000,edu,

 8da1b0834688edb311a803532e33939e9ecf8292,CornerNet: Detecting Objects as Paired Keypoints,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+8d19cfe643582fae03ce024efaf117d1efef5e58,A Robust Likelihood Function for 3D Human Pose Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8d22e3641d8e684ecfad6eee5e2ca414ee3728e2,INTERACTIVE CLOTHING SEGMENTATION BASED ON JSEG AND GRABCUT,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+8d22e3641d8e684ecfad6eee5e2ca414ee3728e2,INTERACTIVE CLOTHING SEGMENTATION BASED ON JSEG AND GRABCUT,China,China,China,35.86166000,104.19539700,edu,

+8d22e3641d8e684ecfad6eee5e2ca414ee3728e2,INTERACTIVE CLOTHING SEGMENTATION BASED ON JSEG AND GRABCUT,China,China,China,35.86166000,104.19539700,edu,

 8d95317d0e366cecae1dd3f7c1ba69fe3fc4a8e0,Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis,University of Oulu,University 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,

 8d95317d0e366cecae1dd3f7c1ba69fe3fc4a8e0,Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

 8d95317d0e366cecae1dd3f7c1ba69fe3fc4a8e0,Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+8dc10cb0c8f6e449c22bb11399aa886d850fc701,A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials,Chalmers University of Technology,"Chalmers University of Technology, SE-412 96 Göteborg, Sweden","Chalmersplatsen 4, 412 96 Göteborg, Sweden",57.68970630,11.97416540,edu,

 8dc10cb0c8f6e449c22bb11399aa886d850fc701,A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 8dc10cb0c8f6e449c22bb11399aa886d850fc701,A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 8dc9de0c7324d098b537639c8214543f55392a6b,Pose-Invariant 3D Object Recognition Using Linear Combination of 2D Views and Evolutionary Optimisation,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 8d8d333eb194bce847a4bbfc85fe332643622a34,Learning Hand Articulations by Hallucinating Heat Distribution,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd,Subspace Clustering via Optimal Direction Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8dea22172bd3008ec3c8008bc6edfdfe1e33e439,CityPersons: A Diverse Dataset for Pedestrian Detection,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+8d646ac6e5473398d668c1e35e3daa964d9eb0f6,Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment.,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu,

+8d156f3b4f1ad5d041ae9f50a0b879e25c80749e,THE HIT OR MISS COUNT OF PROBE IMAGES FOR TEN TIMES S,India,India,India,20.59368400,78.96288000,edu,

+8dbbaacb2585c9f06306601a81eef2c53e565ad1,Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 8df05de407b829abb357e230bead5407cabe7305,U Can Touch This: How Tablets Can Be Used to Study Cognitive Development,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu,

+8de7c496c1dac3be5fa55de72867325153b119bd,Robust Face Recognition using Key-point Descriptors,University of Central Lancashire,"ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.","Fylde Rd, Preston PR1 2HE, UK",53.76413780,-2.70924530,edu,

 8d1253f315c821bd2b354550ae9ea6d3d7be1d31,Improved Low Resolution Heterogeneous Face Recognition Using Re-ranking,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 8d955b025495522e67e8cb6e29436001ebbd0abb,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 8d955b025495522e67e8cb6e29436001ebbd0abb,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 8d44ac33d768fdc436c1b8ce995e2a6dbc4ad74b,Face recognition across large pose variations via Boosted Tied Factor Analysis,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

+8dfdfcc3f34263779871d023fad973f4a1966ec0,Internet of vehicles in big data era,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+8d5998cd984e7cce307da7d46f155f9db99c6590,ChaLearn looking at people: A review of events and resources,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 8dce6fa7a13cc94954cbc6be9a709a4ce696ead3,Vision and Language Integration: Moving beyond Objects,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 8d09e7c3c6b714574b2a4a7993ac94beb9d4f50d,HUMAN EYE LOCALIZATION USING EDGE PROJECTIONS,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 8d09e7c3c6b714574b2a4a7993ac94beb9d4f50d,HUMAN EYE LOCALIZATION USING EDGE PROJECTIONS,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

@@ -3346,7 +4071,10 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 8d6c4af9d4c01ff47fe0be48155174158a9a5e08,"Labeling, discovering, and detecting objects in images",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 8d7d02bdd3a6dfc01982468ed3eb4e66d99a302f,Data Curation APIs.,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 8d7d02bdd3a6dfc01982468ed3eb4e66d99a302f,Data Curation APIs.,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

+8d8461ed57b81e05cc46be8e83260cd68a2ebb4d,Age identification of Facial Images using Neural Network,India,India,India,20.59368400,78.96288000,edu,

 8dbb08fdd8827383ce74dde937b74cf21b687cbb,Rediction and U Nsupervised L Earning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

+8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 8dcc95debd07ebab1721c53fa50d846fef265022,MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 8d203e9f7aa88ee167f5eb620a63dcf2dc64fb2e,A Knowledge-Grounded Multimodal Search-Based Conversational Agent,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 8d4f12ed7b5a0eb3aa55c10154d9f1197a0d84f3,Cascaded pose regression,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -3354,7 +4082,9 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 8d03e982bac627dfea7a785a597d5946c6b2c4bb,"Landmark localization, feature matching and biomarker discovery from magnetic resonance images",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,

 8de6deefb90fb9b3f7d451b9d8a1a3264b768482,Multibiometric Systems : Fusion Strategies and Template Security,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 8d228b4c0787d9e29b0c1fff05f15198bda911c9,Scalable and Effective Deep CCA via Soft Decorrelation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+8de065f412a7d739dff40044212c8506b5c52bf7,Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields,China,China,China,35.86166000,104.19539700,edu,

 8d91f06af4ef65193f3943005922f25dbb483ee4,Facial Expression Classification Using Rotation Slepian-based Moment Invariants,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu,

+8d91f06af4ef65193f3943005922f25dbb483ee4,Facial Expression Classification Using Rotation Slepian-based Moment Invariants,China,China,China,35.86166000,104.19539700,edu,

 8d0243b8b663ca0ab7cbe613e3b886a5d1c8c152,Development of Optical Computer Recognition (OCR) for Monitoring Stress and Emotions in Space,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 8d94e72ebcbc8f93dc60eb42ac7058d6a94e8683,D-LinkNet : LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 8d6344658fa9673b1f4ac0d0bad53617ee127aaa,Adolescent and adult risk-taking in virtual social contexts,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -3376,10 +4106,15 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 4a1a7e5d52e097d1defb523575fb8de1a5b24171,Multicore Construction of k-d Trees for High Dimensional Point Data,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 4a79923948c6ccda965077287dc6fd1d3728d680,Dropout Training for Support Vector Machines,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 4adb97b096b700af9a58d00e45a2f980136fcbb5,TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+4adb97b096b700af9a58d00e45a2f980136fcbb5,TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.,China,China,China,35.86166000,104.19539700,edu,

+4a64b020c72db15a729939a2c041ef4f5830f0f7,Challenges of Ground Truth Evaluation of Multi-target Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+4a0f98d7dbc31497106d4f652968c708f7da6692,Real-time eye gaze direction classification using convolutional neural network,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4a2ff05ae941fb4cd3a65e74e1008820515c177b,Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4ac4e8d17132f2d9812a0088594d262a9a0d339b,Rank Constrained Recognition under Unknown Illuminations,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,China,China,China,35.86166000,104.19539700,edu,

 4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,China,China,China,35.86166000,104.19539700,edu,

 4ab023f9bac5c85b829be95c905b6d5dc51820c2,Discovering physics and design trends from visual temporal structures,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 4ab023f9bac5c85b829be95c905b6d5dc51820c2,Discovering physics and design trends from visual temporal structures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 4ab023f9bac5c85b829be95c905b6d5dc51820c2,Discovering physics and design trends from visual temporal structures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -3389,10 +4124,15 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 4ae59d2a28abd76e6d9fb53c9e7ece833dce7733,A Survey on Mobile Affective Computing,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 4aabd6db4594212019c9af89b3e66f39f3108aac,The Mere Exposure Effect and Classical Conditioning,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu,

 4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,China,China,China,35.86166000,104.19539700,edu,

 4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,China,China,China,35.86166000,104.19539700,edu,

 4a29bc00d1bc944fffe510713e3e8f2206c33fd1,Self-supervised Segmentation by Grouping Optical-Flow,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+4a19f6545473363b16d4a10ed13fef29b38856d3,What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4aea8b8a733aa9a816cc53cc5c138876c0660773,Self-Reinforced Cascaded Regression for Face Alignment,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+4aea8b8a733aa9a816cc53cc5c138876c0660773,Self-Reinforced Cascaded Regression for Face Alignment,China,China,China,35.86166000,104.19539700,edu,

 4aea8b8a733aa9a816cc53cc5c138876c0660773,Self-Reinforced Cascaded Regression for Face Alignment,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+4af997701ce14ba689f7f964a72bcae0a2432435,The role of gaze direction in face memory in autism spectrum disorder.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 4a18adc7f5a090a041528a88166671248703f6e0,Illumination normalization for robust face recognition against varying lighting conditions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4a18adc7f5a090a041528a88166671248703f6e0,Illumination normalization for robust face recognition against varying lighting conditions,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 4aeb5520a941fb59f20093cbeaf4b84b35df78fc,Gait Representation Using Flow Fields,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -3406,12 +4146,16 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 4ac0a37ba0630310e7848e144edcba9ea3d05334,Max-Margin Dictionary Learning for Multiclass Image Categorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 4ac0a37ba0630310e7848e144edcba9ea3d05334,Max-Margin Dictionary Learning for Multiclass Image Categorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,China,China,China,35.86166000,104.19539700,edu,

 4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,China,China,China,35.86166000,104.19539700,edu,

 4a9086cf2637b7ea54855187b978af7a89bfceff,Atypical neural specialization for social percepts in autism spectrum disorder.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 4a9d906935c9de019c61aedc10b77ee10e3aec63,Cross Modal Distillation for Supervision Transfer,"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,

-4a07fe50742c31daffd77cdcac15eaca72070b2a,Examining CNN Representations With Respect to Dataset Bias,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+4ac4b0a2d06ff5df1cc4941f8ae47843b4593bba,American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

+4a07fe50742c31daffd77cdcac15eaca72070b2a,Examining CNN Representations With Respect to Dataset Bias,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 4a24d41aef0041ef82916d2316eea86f6c45c47f,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 4a24d41aef0041ef82916d2316eea86f6c45c47f,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+4a24d41aef0041ef82916d2316eea86f6c45c47f,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 4af4098deffc22cf901f38b4634d316df68975ab,Image segmentation with patch-pair density priors,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 4af4098deffc22cf901f38b4634d316df68975ab,Image segmentation with patch-pair density priors,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 4ae33d64f8515a023f10e20af20f62a2a5a76f13,Sketch Recognition with Deep Visual-Sequential Fusion Model,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

@@ -3428,9 +4172,12 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 4a8f521b929f72da2e9ee4af9f43e941f02bd114,Data-Driven Scene Understanding from 3D Models,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,

 4a8f521b929f72da2e9ee4af9f43e941f02bd114,Data-Driven Scene Understanding from 3D Models,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,

 4a1d640f5e25bb60bb2347d36009718249ce9230,Towards Multi-view and Partially-Occluded Face Alignment,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4,Multiple-shot People Re-identify based on Feature Selection with Sparsity,China,China,China,35.86166000,104.19539700,edu,

 4a484d97e402ed0365d6cf162f5a60a4d8000ea0,A Crowdsourcing Approach for Finding Misidentifications of Bibliographic Records,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

+4abaebe5137d40c9fcb72711cdefdf13d9fc3e62,Dimension Reduction for Regression with Bottleneck Neural Networks,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 4a14a321a9b5101b14ed5ad6aa7636e757909a7c,Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 4a14a321a9b5101b14ed5ad6aa7636e757909a7c,Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+4a14a321a9b5101b14ed5ad6aa7636e757909a7c,Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 4ac61814d0f624ebda190b240ede72f0b156ff22,Face Recognition by Support Vector Machines,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 4a2ba5d7b41ae1d8334c5b8bb1e76ce29e4367ee,Relational divergence based classification on Riemannian manifolds,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 4a2ba5d7b41ae1d8334c5b8bb1e76ce29e4367ee,Relational divergence based classification on Riemannian manifolds,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

@@ -3458,9 +4205,12 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 1b5866c5b3715b410bfb4ccca6d42b32162d4ef1,Now You See Me: Deep Face Hallucination for Unviewed Sketches,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 1b5866c5b3715b410bfb4ccca6d42b32162d4ef1,Now You See Me: Deep Face Hallucination for Unviewed Sketches,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 1b0cc9f0ffd8df93c8006da9c525ca9b84fb1211,Learning to Anonymize Faces for Privacy Preserving Action Detection,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

-1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1b635f494eff2e5501607ebe55eda7bdfa8263b8,USC at THUMOS 2014,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,

+1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,India,India,India,20.59368400,78.96288000,edu,

+1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,India,India,India,20.59368400,78.96288000,edu,

+1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,India,India,India,20.59368400,78.96288000,edu,

 1bbe0371ca22c2fdb6e0d098049bbf6430324bdb,"Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval",University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 1bbe0371ca22c2fdb6e0d098049bbf6430324bdb,"Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1bbe0371ca22c2fdb6e0d098049bbf6430324bdb,"Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval",University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

@@ -3473,6 +4223,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d,Cross-scene crowd counting via deep convolutional neural networks,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 1b715b4cef51be6bd5dd73c0d30257d853411a52,Fourth-Person Sensing for Pro-active Services,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 1b67053c682dcbc9dc368de89fff32f787320a96,Quality-Driven Face Occlusion Detection and Recovery,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1b67053c682dcbc9dc368de89fff32f787320a96,Quality-Driven Face Occlusion Detection and Recovery,China,China,China,35.86166000,104.19539700,edu,

 1b92fdffa3f87c1081e88c41b5fb0d7d31b3873e,Illumination Insensitive Face Representation for Face Recognition Based on Modified Weberface,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 1b92fdffa3f87c1081e88c41b5fb0d7d31b3873e,Illumination Insensitive Face Representation for Face Recognition Based on Modified Weberface,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 1badfeece64d1bf43aa55c141afe61c74d0bd25e,"OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning",Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -3488,6 +4239,8 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 1bd65302bca0c1a593490088a0ce85988f3cc90a,"Ten Years of Pedestrian Detection, What Have We Learned?",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 1be0ce87bb5ba35fa2b45506ad997deef6d6a0a8,EXMOVES: Classifier-based Features for Scalable Action Recognition,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 1b5baa2ff3b6f88865fd244d87d39d58282d8597,Large-Scale Image Classification using High Performance Clustering,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,India,India,India,20.59368400,78.96288000,edu,

+1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,India,India,India,20.59368400,78.96288000,edu,

 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu,

 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

@@ -3495,22 +4248,28 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural
 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu,

 1bbf4275c1dbe3203b0e2261114850fbe8ca7e0e,Higher level techniques for the artistic rendering of images and video,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 1ba384ef80ab9295162833ed2658aac119fe9cc3,Audio-to-Visual Speech Conversion Using Deep Neural Networks,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

+1ba384ef80ab9295162833ed2658aac119fe9cc3,Audio-to-Visual Speech Conversion Using Deep Neural Networks,"Disney Research, Pittsburgh, USA","Disney Research, Pittsburgh, USA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company,

 1b72222651c5b0295981e26d1333fadfcfb6a480,High-Quality Face Image SR Using Conditional Generative Adversarial Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+1b72222651c5b0295981e26d1333fadfcfb6a480,High-Quality Face Image SR Using Conditional Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu,

 1b72222651c5b0295981e26d1333fadfcfb6a480,High-Quality Face Image SR Using Conditional Generative Adversarial Networks,National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu,

 1b248ed8e7c9514648cd598960fadf9ab17e7fe8,"From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation",University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu,

 1b248ed8e7c9514648cd598960fadf9ab17e7fe8,"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 Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 1b248ed8e7c9514648cd598960fadf9ab17e7fe8,"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 Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 1bad8a9640cdbc4fe7de12685651f44c4cff35ce,THETIS: Three Dimensional Tennis Shots a Human Action Dataset,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

 1bcc4f0f58848190ae0b2098eadf06002d5f70b4,Scalable object-class retrieval with approximate and top-k ranking,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

+1b71e4b59358ed7ecf6117e19fc944307e58a7af,3 D Spectral Nonrigid Registration of Facial Expression Scans,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1bf570bd40b3adced1e47dbcceffe50573f81845,Exponential Discriminative Metric Embedding in Deep Learning,China,China,China,35.86166000,104.19539700,edu,

 1bf570bd40b3adced1e47dbcceffe50573f81845,Exponential Discriminative Metric Embedding in Deep Learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 1bf570bd40b3adced1e47dbcceffe50573f81845,Exponential Discriminative Metric Embedding in Deep Learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 1be9ee50f4d4f59b9761a366bba9127213dc4f33,ou cannot gamble on others : Dissociable systems for trategic uncertainty and risk in the brain,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

+1bbd83aeccae06f7d1b048f12566943ac824a490,Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 d46fda4b49bbc219e37ef6191053d4327e66c74b,Facial Expression Recognition Based on Complexity Perception Classification Algorithm,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 d453e0d308919867b5814beb1394cd0cc1cb2378,STOIC : A database of dynamic and static faces expressing highly recognizable emotions,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 d4448f8aa320f04066cc43201d55ddd023eb712e,Clothing Change Aware Person Identification,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 d4448f8aa320f04066cc43201d55ddd023eb712e,Clothing Change Aware Person Identification,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 d4d2014f05e17869b72f180fd0065358c722ac65,UNIVERSITY OF CALGARY A MULTIMODAL BIOMETRIC SYSTEM BASED ON RANK LEVEL FUSION by MD. MARUF MONWAR A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 d4ea0438b6c0479a7d7611130a0dc242a22f93eb,Pose2Instance: Harnessing Keypoints for Person Instance Segmentation,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+d493288998422ee30fe67370497a8a35108f81e7,"Key words- Face Detection, Eigenface, Feature",India,India,India,20.59368400,78.96288000,edu,

 d408e80d0c5db9fa856a02d42657959a530174fd,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d408e80d0c5db9fa856a02d42657959a530174fd,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 d476b357c5bbc7bfae06a3876a5c0852d31d1b6e,A Novel Visual Organization Based on Topological Perception,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -3518,44 +4277,80 @@ d476b357c5bbc7bfae06a3876a5c0852d31d1b6e,A Novel Visual Organization Based on To
 d46b4e6871fc9974542215f001e92e3035aa08d9,A Gabor Quotient Image for Face Recognition under Varying Illumination,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu,

 d4a5eaf2e9f2fd3e264940039e2cbbf08880a090,An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 d4b34e327b62b7f3fbddfc403e4642b17245a3b7,Partial Person Re-identification with Alignment and Hallucination,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,

+d40c4e370d35264e324e4e3d5df59e51518c9979,A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering,China,China,China,35.86166000,104.19539700,edu,

 d428aa4c1c84da422f8c99eb0147a49439d16f0d,Audio-Visual Spontaneous Emotion Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+d40bd8d44fe78952769a9bb04fe74ce38ef07534,Locally Adaptive Learning Loss for Semantic Image Segmentation,China,China,China,35.86166000,104.19539700,edu,

 d4f1eb008eb80595bcfdac368e23ae9754e1e745,Unconstrained Face Detection and Open-Set Face Recognition Challenge,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu,

+d4885ca24189b4414031ca048a8b7eb2c9ac646c,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN",Russia,Russia,Russia,61.52401000,105.31875600,edu,

 d406ec45ab1d1453cc207fff265077101154d613,Horizontal Pyramid Matching for Person Re-identification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 d454ad60b061c1a1450810a0f335fafbfeceeccc,Deep Regression Forests for Age Estimation,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

 d467035d83fb4e86c4a47b2ca87894388deb8c44,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Object Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+d467035d83fb4e86c4a47b2ca87894388deb8c44,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Object Detection,China,China,China,35.86166000,104.19539700,edu,

 d45e856d22714d6ea7bd80a8c73d2be3b1f16f27,Learning Interpretable Spatial Operations in a Rich 3D Blocks World,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 d45e856d22714d6ea7bd80a8c73d2be3b1f16f27,Learning Interpretable Spatial Operations in a Rich 3D Blocks World,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 d46a5bba21f897f1c4b3366dcb663820ef1c282d,Cerebral Hemodynamic Response to Faces and Emotions in Infants at High Risk for Autism,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,University of Science and Technology Beijing,"University of Science and Technology Beijing, 100083, China","30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083",39.98945800,116.35694500,edu,

+d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,China,China,China,35.86166000,104.19539700,edu,

 d4c2d26523f577e2d72fc80109e2540c887255c8,Face-space Action Recognition by Face-Object Interactions,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 d444e010049944c1b3438c9a25ae09b292b17371,Structure Preserving Video Prediction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 d4a925cb0ca66b1cacec325751f4a85e5b74790d,Adversarially Learned Inference,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 d40cd10f0f3e64fd9b0c2728089e10e72bea9616,Enhancing Face Identification Using Local Binary Patterns and K-Nearest Neighbors,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu,

 d437a69d631b48583acc19c946b48e7d601d7853,Trace Norm Regularised Deep Multi-Task Learning,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 d448d67c6371f9abf533ea0f894ef2f022b12503,Weakly Supervised Collective Feature Learning From Curated Media,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+d4c657ce3b7e47237201393aa6bba0e19442bfd2,Interpolation Based Tracking for Fast Object Detection in Videos,India,India,India,20.59368400,78.96288000,edu,

+d45dc3546702db7fcef8d4863db319ca84cc8d3d,How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs,India,India,India,20.59368400,78.96288000,edu,

 d4be2bd85176e5c3a701174d7bef2c81aa5aef02,"Three for one and one for three: Flow, Segmentation, and Surface Normals",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,

+d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,China,China,China,35.86166000,104.19539700,edu,

+d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,India,India,India,20.59368400,78.96288000,edu,

+d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,India,India,India,20.59368400,78.96288000,edu,

+d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,India,India,India,20.59368400,78.96288000,edu,

+d497543834f23f72f4092252b613bf3adaefc606,Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d492dbfaa42b4f8b8a74786d7343b3be6a3e9a1d,Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 d492dbfaa42b4f8b8a74786d7343b3be6a3e9a1d,Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 d46509935f7d485295587d4fc201c42108760379,Facial Image Analysis by CNN with Weighted Heterogeneous Learning,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu,

 d462d514c0a177eb82aec8175bf431189218e393,Face recognition using regularised generalised discriminant locality preserving projections,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+d47a2c0828bcfa4ebe0b7831f0b389ea385a8ce9,Local descriptors based random forests for human detection,University of Ulsan,"University of Ulsan, Korea","93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea",35.54374110,129.25628430,edu,

+d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,China,China,China,35.86166000,104.19539700,edu,

+d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,China,China,China,35.86166000,104.19539700,edu,

+d82b93f848d5442f82154a6011d26df8a9cd00e7,NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS,India,India,India,20.59368400,78.96288000,edu,

+d82b93f848d5442f82154a6011d26df8a9cd00e7,NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS,India,India,India,20.59368400,78.96288000,edu,

+d8e061960423a17748dedbcfe4b6a6918f79c262,Fast Prototyping and Computationally Intensive Experiments,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

+d8cf6b19c75489dd7a5f4107e2e3ec494274da41,Partial Relevance in Interactive Facial Image Retrieval,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+d8d1fb804d1f4760393c6fd70c9072fa1b39f02c,An Efficient Approach to Onboard Stereo Vision System Pose Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996,Learning image-to-image translation using paired and unpaired training samples,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996,Learning image-to-image translation using paired and unpaired training samples,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996,Learning image-to-image translation using paired and unpaired training samples,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 d847d2b75bf301007a9e67889bdae5b147559ed3,Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu,

 d847d2b75bf301007a9e67889bdae5b147559ed3,Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 d893f75206b122973cdbf2532f506912ccd6fbe0,Facial Expressions with Some Mixed Expressions Recognition Using Neural Networks,Pondicherry Engineering College,Pondicherry Engineering College,"Pondicherry Engineering College, PEC MAIN ROAD, Sri Ma, Puducherry, Puducherry district, Puducherry, 605001, India",12.01486930,79.84809104,edu,

+d893f75206b122973cdbf2532f506912ccd6fbe0,Facial Expressions with Some Mixed Expressions Recognition Using Neural Networks,India,India,India,20.59368400,78.96288000,edu,

 d8b2e37eb9d2ee0e84bceafce84812cfa0b88211,Mgan: Training Generative Adversarial Nets with Multiple Generators,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu,

 d8cbb5872300f79806acba6cfcbc7225800f1041,Video Processing on Vehicle Front-View Camera EE 368 : Digital Image Processing Final Project,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

-d876dc120fd8e7f782bb9fdf1aaa930ec06f676a,CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+d876dc120fd8e7f782bb9fdf1aaa930ec06f676a,CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

+d86fabd4498c8feaed80ec342d254fb877fb92f5,Region-Object Relevance-Guided Visual Relationship Detection,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 d84230a2fc9950fccfd37f0291d65e634b5ffc32,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d84230a2fc9950fccfd37f0291d65e634b5ffc32,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d84230a2fc9950fccfd37f0291d65e634b5ffc32,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d86992d3ce3c2b89ddaab57244d91dcce610412e,JPEG Compression Effects on a Smart Card Face Verification System,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 d8f837265fe76e26c99052229c4997fbec20573a,View-Adaptive Metric Learning for Multi-view Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 d8f837265fe76e26c99052229c4997fbec20573a,View-Adaptive Metric Learning for Multi-view Person Re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+d806790866ab9bad77f60436fe77232db8e0c1ba,Deep Directional Network for Object Tracking,China,China,China,35.86166000,104.19539700,edu,

 d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,China,China,China,35.86166000,104.19539700,edu,

+d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,China,China,China,35.86166000,104.19539700,edu,

+d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,China,China,China,35.86166000,104.19539700,edu,

 d8b251cbcda6289bbeaff56692da963aa5a80cd2,Multi-Task Multi-Sample Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu,

+d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu,

 d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generative Adversarial Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,India,India,India,20.59368400,78.96288000,edu,

+d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,India,India,India,20.59368400,78.96288000,edu,

+d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,India,India,India,20.59368400,78.96288000,edu,

 d8ddaddfd4843d483505718f3487e312310ba23e,CLASSIFICATION OF HEMATOXYLIN AND EOSIN IMAGES USING LOCAL BINARY PATTERNS AND 1-D SIFT ALGORITHM,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 d802ed7d8b7aea71a10bd0d700fd11fde5729993,Development of an Active Shape Model Using the Discrete Cosine Transform,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 d802ed7d8b7aea71a10bd0d700fd11fde5729993,Development of an Active Shape Model Using the Discrete Cosine Transform,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

+d8391151d6e43d8e4ea0d8206a5acb7f9be7439f,Face Fusion Recognition Based on Bit-Plane Image,China,China,China,35.86166000,104.19539700,edu,

+d8391151d6e43d8e4ea0d8206a5acb7f9be7439f,Face Fusion Recognition Based on Bit-Plane Image,China,China,China,35.86166000,104.19539700,edu,

 d8214e68bc7af0e24558fd9e79b2d777e46f2edc,Making Fisher Discriminant Analysis Scalable,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 d8214e68bc7af0e24558fd9e79b2d777e46f2edc,Making Fisher Discriminant Analysis Scalable,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 d8214e68bc7af0e24558fd9e79b2d777e46f2edc,Making Fisher Discriminant Analysis Scalable,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

@@ -3579,6 +4374,7 @@ d818b07237c74a0628becdeb9e67d8076f06b5f4,Audiovisual Speaker Clustering for News
 d818b07237c74a0628becdeb9e67d8076f06b5f4,Audiovisual Speaker Clustering for News Broadcast Videos,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 d818b07237c74a0628becdeb9e67d8076f06b5f4,Audiovisual Speaker Clustering for News Broadcast Videos,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 d8ce4c55d04b93bdb94c1d0427cfe40431bef941,"Simultaneous Human Segmentation , Depth and Pose Estimation via Dual Decomposition",Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+d8ce4c55d04b93bdb94c1d0427cfe40431bef941,"Simultaneous Human Segmentation , Depth and Pose Estimation via Dual Decomposition","Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 d8ce4c55d04b93bdb94c1d0427cfe40431bef941,"Simultaneous Human Segmentation , Depth and Pose Estimation via Dual Decomposition",Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 d8bf148899f09a0aad18a196ce729384a4464e2b,FACIAL EXPRESSION RECOGNITION AND EXPRESSION INTENSITY ESTIMATION,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 d81b0a79558cabaaf3db22caf89454f4e012f21b,iParaphrasing: Extracting Visually Grounded Paraphrases via an Image,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

@@ -3589,13 +4385,24 @@ d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of
 5b6593a6497868a0d19312952d2b753232414c23,Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor,City College of New York,"The City College of New York, New York, NY 10031, USA","CCNY, 160, Convent Avenue, Manhattanville, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10031, USA",40.81819805,-73.95100898,edu,

 5b6593a6497868a0d19312952d2b753232414c23,Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 5b89744d2ac9021f468b3ffd32edf9c00ed7fed7,Beyond Mahalanobis metric: Cayley-Klein metric learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+5b89744d2ac9021f468b3ffd32edf9c00ed7fed7,Beyond Mahalanobis metric: Cayley-Klein metric learning,China,China,China,35.86166000,104.19539700,edu,

 5b9693d2f6b7b731f9abdbfa5c35d641b881daff,MODELING HUMAN MOTION USING MANIFOLD LEARNING AND FACTORIZED GENERATIVE MODELS,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 5b24ef13fc9a51a9892f164bc142ffefc0b7a8ee,"CHUNG , JAMALUDIN , ZISSERMAN : YOU SAID THAT ? 1 You said that ?",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+5b24ef13fc9a51a9892f164bc142ffefc0b7a8ee,"CHUNG , JAMALUDIN , ZISSERMAN : YOU SAID THAT ? 1 You said that ?","Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

+5b33a220defa5362e7e1f1b664ad18e466b0515a,Pedestrian Detection for Android Mobile Devices,China,China,China,35.86166000,104.19539700,edu,

 5b97e997b9b654373bd129b3baf5b82c2def13d1,3D Face Tracking and Texture Fusion in the Wild,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 5b97e997b9b654373bd129b3baf5b82c2def13d1,3D Face Tracking and Texture Fusion in the Wild,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu,

 5b0bf1063b694e4b1575bb428edb4f3451d9bf04,Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+5b0bf1063b694e4b1575bb428edb4f3451d9bf04,Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression,China,China,China,35.86166000,104.19539700,edu,

+5bb24d1250df62a56cab1445f1d8c5c61269b785,Measuring the Temporal Behavior of Real-World Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,Pennsylvania State University,Pennsylvania State University,,,,edu,

+5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,Pennsylvania State University,Pennsylvania State University,,,,edu,

+5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,Pennsylvania State University,Pennsylvania State University,,,,edu,

 5b70beeadc31ac8421bd9fe54fbe696b90eba1cf,Three-dimensional proxies for hand-drawn characters,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,

+5b70beeadc31ac8421bd9fe54fbe696b90eba1cf,Three-dimensional proxies for hand-drawn characters,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

+5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Lomonosov Moscow State University,Lomonosov Moscow State University,"МГУ, улица Академика Хохлова, Московский государственный университет им. М. В. Ломоносова, район Раменки, Западный административный округ, Москва, ЦФО, 119234, РФ",55.70229715,37.53179777,edu,

+5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

 5b0008ba87667085912ea474025d2323a14bfc90,SoS-RSC : A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

@@ -3608,6 +4415,7 @@ d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of
 5bd84335e169e3c019eaf4dab64721e5b32b3870,A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers,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,

 5b4b84ce3518c8a14f57f5f95a1d07fb60e58223,Diagnosing Error in Object Detectors,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 5b042a76c6e61d411f68b8193ec67ad8dd1abc5e,iSAX 2.0: Indexing and Mining One Billion Time Series,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1,Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification,China,China,China,35.86166000,104.19539700,edu,

 5b693cb3bedaa2f1e84161a4261df9b3f8e77353,"Robust Face Localization Using Motion, Colour and Fusion",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 5b40475ee5a67a758f665957b019dc8a1fc027b4,Visual-Inertial Curve SLAM : Creating a Sparse Structured World without Feature Points,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 5b40475ee5a67a758f665957b019dc8a1fc027b4,Visual-Inertial Curve SLAM : Creating a Sparse Structured World without Feature Points,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -3625,14 +4433,20 @@ d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of
 5bf2132de8be99547af4aee6013fec8226c763b5,Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 5bf2132de8be99547af4aee6013fec8226c763b5,Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 5bf2132de8be99547af4aee6013fec8226c763b5,Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5bb9540375ba9bba22f8a22ba2990cfe7ff6780c,Discriminant Analysis of Haar Features for Accurate Eye Detection,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu,

-5b7cf29f164ec59a15ddb55b4af84ca07231f35d,"The role of features, algorithms and data in visual recognition",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+5b7cf29f164ec59a15ddb55b4af84ca07231f35d,"The role of features, algorithms and data in visual recognition",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

+5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,China,China,China,35.86166000,104.19539700,edu,

 5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

-5b4fddc0b86deea2fc139c43ee07892ad211a2dd,Compositional Human Pose Regression,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,China,China,China,35.86166000,104.19539700,edu,

+5b4fddc0b86deea2fc139c43ee07892ad211a2dd,Compositional Human Pose Regression,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 5b9d41e2985fa815c0f38a2563cca4311ce82954,Exploitation of 3D images for face authentication under pose and illumination variations,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

+5b6bed112e722c0629bcce778770d1b28e42fc96,Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923,Deep Feature Pyramid Reconfiguration for Object Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 5b6ecbf5f1eecfe1a9074d31fe2fb030d75d9a79,Improving 3D Face Details Based on Normal Map of Hetero-source Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+5b6ecbf5f1eecfe1a9074d31fe2fb030d75d9a79,Improving 3D Face Details Based on Normal Map of Hetero-source Images,China,China,China,35.86166000,104.19539700,edu,

 5b73b7b335f33cda2d0662a8e9520f357b65f3ac,Intensity Rank Estimation of Facial Expressions Based on a Single Image,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 5b73b7b335f33cda2d0662a8e9520f357b65f3ac,Intensity Rank Estimation of Facial Expressions Based on a Single Image,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 5bce272adc5bd6934fe31ae3c648b4b62191353d,The Evolution of First Person Vision Methods: A Survey,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

@@ -3670,13 +4484,17 @@ f563ef1a0fd024edb91a889b17b64aca84624be6,Gait-Based Pedestrian Detection for Aut
 f523089dad14fee8f90f9e14f30477d2973c6ec7,Bi-box Regression for Pedestrian Detection and Occlusion Estimation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 f523089dad14fee8f90f9e14f30477d2973c6ec7,Bi-box Regression for Pedestrian Detection and Occlusion Estimation,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu,

 f5fae7810a33ed67852ad6a3e0144cb278b24b41,Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+f59ac278349083a50871822ea08172258030265a,Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f50b6aba0254809ba83c55d2b144508007c23c58,Online learning of robust object detectors during unstable tracking,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 f571fe3f753765cf695b75b1bd8bed37524a52d2,Submodular Attribute Selection for Action Recognition in Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 f571fe3f753765cf695b75b1bd8bed37524a52d2,Submodular Attribute Selection for Action Recognition in Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 f571fe3f753765cf695b75b1bd8bed37524a52d2,Submodular Attribute Selection for Action Recognition in Video,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 f5eb411217f729ad7ae84bfd4aeb3dedb850206a,Tackling Low Resolution for Better Scene Understanding,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+f5eb411217f729ad7ae84bfd4aeb3dedb850206a,Tackling Low Resolution for Better Scene Understanding,India,India,India,20.59368400,78.96288000,edu,

 f523c55a0a8057c5b08add761353ca79946feb07,Visual Translation Embedding Network for Visual Relation Detection,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 f52efc206432a0cb860155c6d92c7bab962757de,Mugshot Database Acquisition in Video Surveillance Networks Using Incremental Auto-Clustering Quality Measures,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

+f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f519723238701849f1160d5a9cedebd31017da89,Impact of multi-focused images on recognition of soft biometric traits,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 f5db05adb6e89986d9ae2da0b81e1ce7c8efd9ba,Making Archetypal Analysis Practical,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f55deed4fa5d6d806790610dad9cf7505c1adde8,Goal Driven Detection in Natural Scenes Anonymous,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

@@ -3684,11 +4502,16 @@ f58ee95c2c4bdb1432e15d981dcbdb2038a55184,Multi-View Clustering via Deep Matrix F
 f58ee95c2c4bdb1432e15d981dcbdb2038a55184,Multi-View Clustering via Deep Matrix Factorization,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 f58592051db1f5d300d096f2cd7869258d2de9d8,Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,China,China,China,35.86166000,104.19539700,edu,

+f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,China,China,China,35.86166000,104.19539700,edu,

 f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,China,China,China,35.86166000,104.19539700,edu,

 f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb,Multi-context Attention for Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb,Multi-context Attention for Human Pose Estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 f5350ef1d45574e33f5b0f1c013a5bb00e1b1c55,Decoding Strategies for Neural Referring Expression Generation,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

+f558af209dd4c48e4b2f551b01065a6435c3ef33,AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH,India,India,India,20.59368400,78.96288000,edu,

+f558af209dd4c48e4b2f551b01065a6435c3ef33,AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH,India,India,India,20.59368400,78.96288000,edu,

 f5c285c3729188884f448db3cc60647f15e289d3,Sorted Index Numbers for Privacy Preserving Face Recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 f59e2bd58563d03a31e2a3a1a7b309e33f03387d,Model-Reuse Attacks on Deep Learning Systems,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu,

 f59e2bd58563d03a31e2a3a1a7b309e33f03387d,Model-Reuse Attacks on Deep Learning Systems,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu,

@@ -3713,6 +4536,8 @@ b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recogn
 b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2,Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu,

+b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2,Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu,

 b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d,Perceptual Material Attributes Arise in Local Material Recognition,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu,

 b81a5b676e5e8eee7dc99d5319ecb963f22d05c5,T ^2 2 Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 b8349ba39a034d7bc693b6613f2bc173f0ac27b8,Object Detection from Aerial Image,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

@@ -3727,7 +4552,9 @@ b88bace97d214d279e3a2053ccff0b6425295708,A Novel Framework for Online Supervised
 b80f2419d89937ab6b8c4591fdf72239875ddbec,Depth-based person re-identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 b83fa4fe617db200defe21a07f81aa8060587217,Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 b8b2acc7e5bd94651c8bb025b6311c108c7a7d37,Iteratively Learning from the Best,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+b831a08a7098b64485587541485859c9213e6dc2,Applications of 3 D morphable models for faces with expressions,"Morpho, Safran Group","Morpho, Safran Group","4002 Sheppard Ave E #215, Scarborough, ON M1S 4R5, Canada",43.78365630,-79.28793440,edu,

 b873246d9c474bf7799d6f45deb1155144dbd6b5,Image Analysis for Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+b82a4a0457170258aaf622b81e6f739a220398eb,Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b81cae2927598253da37954fb36a2549c5405cdb,Experiments on Visual Information Extraction with the Faces of Wikipedia,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada"

 b8084d5e193633462e56f897f3d81b2832b72dff,DeepID3: Face Recognition with Very Deep Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 b8084d5e193633462e56f897f3d81b2832b72dff,DeepID3: Face Recognition with Very Deep Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -3738,15 +4565,19 @@ b83155a18b95dcb551a0787b135d61d99eb82ac5,Robert McKeonTHREE-DIMENSIONAL FACE IMA
 b84b7b035c574727e4c30889e973423fe15560d7,Human Age Estimation Using Ranking SVM,HoHai University,HoHai University,"河海大学, 河海路, 小市桥, 鼓楼区, 南京市, 江苏省, 210013, 中国",32.05765485,118.75500040,edu,

 b84b7b035c574727e4c30889e973423fe15560d7,Human Age Estimation Using Ranking SVM,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe,Subcategory-Aware Object Classification,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe,Subcategory-Aware Object Classification,Panasonic Singapore Laboratories,Panasonic Singapore Laboratories,Singapore,1.33648800,103.89329250,company,

 b849bfe51138d88f6cae2d602b5e2a42565fb1c7,Weakly Supervised Object Localization with Stable Segmentations,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 b87b0fa1ac0aad0ca563844daecaeecb2df8debf,Non-photorealistic rendering of portraits,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

+b88e0c3a6a95e5193085a258cd281802852e5a4a,Progression in large Age-gap face verification,India,India,India,20.59368400,78.96288000,edu,

 b859d1fc1a7ad756815490527319d458fa9af3d2,Learning Structure and Strength of CNN Filters for Small Sample Size Training,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 b8d61dc56a4112e0317c6a7323417ee649476148,Cross Pixel Optical Flow Similarity for Self-Supervised Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 b88d5e12089f6f598b8c72ebeffefc102cad1fc0,Robust 2DPCA and Its Application,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 b88d5e12089f6f598b8c72ebeffefc102cad1fc0,Robust 2DPCA and Its Application,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 b87db5ac17312db60e26394f9e3e1a51647cca66,Semi-definite Manifold Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+b87db5ac17312db60e26394f9e3e1a51647cca66,Semi-definite Manifold Alignment,China,China,China,35.86166000,104.19539700,edu,

 b8b0f0ca35cb02334aaa3192559fb35f0c90f8fa,Face Recognition in Low-resolution Images by Using Local Zernike Moments,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 b8375ff50b8a6f1a10dd809129a18df96888ac8b,Natural Video Sequence Prediction,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+b8375ff50b8a6f1a10dd809129a18df96888ac8b,Natural Video Sequence Prediction,"POSTECH, Pohang, Korea","POSTECH, Pohang, Korea","77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea",36.01388570,129.32318360,edu,

 b8375ff50b8a6f1a10dd809129a18df96888ac8b,Natural Video Sequence Prediction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detection in Crowded Surveillance,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 41965f0c83b2ec081f76b043a7d3c48a9b26f0cc,UG^2: A Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

@@ -3755,23 +4586,28 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 41c97af4801ac302f09902aeec2af17b481563ab,MULTI-VIEW METRIC LEARNING FOR VISUAL CLASSIFICATION,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 41c97af4801ac302f09902aeec2af17b481563ab,MULTI-VIEW METRIC LEARNING FOR VISUAL CLASSIFICATION,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 41b2068f134adf9afb3dae2d8811e2d21f471e3d,Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+4183d1b79d54f5638063e6c59a2a873ee2cd1bed,Multi-cue pedestrian classification with partial occlusion handling,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 41971dfbf404abeb8cf73fea29dc37b9aae12439,Detection of Facial Feature Points Using Anthropometric Face Model,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 411278b73afedca6976f02a8d3a38cdec3337f87,Cross-view projective dictionary learning for person re-identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 411278b73afedca6976f02a8d3a38cdec3337f87,Cross-view projective dictionary learning for person re-identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 411278b73afedca6976f02a8d3a38cdec3337f87,Cross-view projective dictionary learning for person re-identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 419550e7b918c64785f087b17f7fde6c94bc6d4e,Distributional semantics with eyes: using image analysis to improve computational representations of word meaning,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 419550e7b918c64785f087b17f7fde6c94bc6d4e,Distributional semantics with eyes: using image analysis to improve computational representations of word meaning,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+41decbe12a8aa7996163636e09d1ce1372c271cd,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,China,China,China,35.86166000,104.19539700,edu,

 41f26101fed63a8d149744264dd5aa79f1928265,Spot On: Action Localization from Pointly-Supervised Proposals,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,

 41f26101fed63a8d149744264dd5aa79f1928265,Spot On: Action Localization from Pointly-Supervised Proposals,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 416b559402d0f3e2b785074fcee989d44d82b8e5,Multi-view Super Vector for Action Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 416b559402d0f3e2b785074fcee989d44d82b8e5,Multi-view Super Vector for Action Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,China,China,China,35.86166000,104.19539700,edu,

 41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 41d9fbf55ea7142b13b68d8ddfe764896569cd32,Efficient Mining of Frequent and Distinctive Feature Configurations,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+41d9fbf55ea7142b13b68d8ddfe764896569cd32,Efficient Mining of Frequent and Distinctive Feature Configurations,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 416087bc2df1e5150231d85b8103d816fc32a2a3,Local normal binary patterns for 3D facial action unit detection,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,

 416087bc2df1e5150231d85b8103d816fc32a2a3,Local normal binary patterns for 3D facial action unit detection,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 41aa8c1c90d74f2653ef4b3a2e02ac473af61e47,Compositional Structure Learning for Action Understanding,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

@@ -3779,9 +4615,12 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 411dc8874fd7b3a9a4c1fd86bb5b583788027776,Direct Shape Regression Networks for End-to-End Face Alignment,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 411dc8874fd7b3a9a4c1fd86bb5b583788027776,Direct Shape Regression Networks for End-to-End Face Alignment,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 41573c31c21a7057cc8c4a35d09ca479ffc44ba1,Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+4192454749b4fc4a95348e7260c2f5c56a06cafd,Image retrieval using efficient feature vectors generated from compressed domain,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 41f31c696b5f7b6458b7b21fc365b9b673d5691b,Skin and Bones: The Contribution of Skin Tone and Facial Structure to Racial Prototypicality Ratings,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 4168fd6fd9e672223fefc9706596121d653e39ff,Early and late stage processing abnormalities in autism spectrum disorders: An ERP study,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu,

+4168fd6fd9e672223fefc9706596121d653e39ff,Early and late stage processing abnormalities in autism spectrum disorders: An ERP study,China,China,China,35.86166000,104.19539700,edu,

 4168fd6fd9e672223fefc9706596121d653e39ff,Early and late stage processing abnormalities in autism spectrum disorders: An ERP study,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu,

+4156746cdc99a509549c4028c7122eb6dc90b1a1,CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 4156746cdc99a509549c4028c7122eb6dc90b1a1,CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 41e1084e74564ced3e1fa845250162d6d0f2b9c3,A Texture-based Approach to Face Detection,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 4136a4c4b24c9c386d00e5ef5dffdd31ca7aea2c,Multi-Modal Person-Profiles from Broadcast News Video,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -3792,7 +4631,9 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 4116a02abfb2a054a32b92fdf4edafa5f8684f10,Highway Vehicle Counting in Compressed Domain,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 412a82b94129477d3cce2f737365219103715db2,A novel symbolization technique for time-series outlier detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 412a82b94129477d3cce2f737365219103715db2,A novel symbolization technique for time-series outlier detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+41c1b8f319e27be0c77c3b33cf877c29b1676501,"Face Recognition based on Radon Transform , PCA , LDA using KNN and SVM",India,India,India,20.59368400,78.96288000,edu,

 417df443367334351111a064a601355450b2531f,Building structural similarity database for metric learning,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

+4188bd3ef976ea0dec24a2512b44d7673fd4ad26,Nonlinear Non-Negative Component Analysis Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 41cbf0750fa0d08880068f9a89be92232795f357,Can the Early Human Visual System Compete with Deep Neural Networks?,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 41199678ad9370ff8ca7e9e3c2617b62a297fac3,Multitask Deep Learning models for real-time deployment in embedded systems,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 4119a7bf09a59e4e8a409c74a8fa338336f5ca52,Fusion of stereo camera and MIMO-FMCW radar for pedestrian tracking in indoor environments,University of Stuttgart,University of Stuttgart,"Pädagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-Württemberg, 71634, Deutschland",48.90953380,9.18318920,edu,

@@ -3803,6 +4644,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 4135004c75a361c91311314fc588d229a7107526,InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4135004c75a361c91311314fc588d229a7107526,InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4156f9fc5983b09eb97ad3d9abc248b15440b955,"Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness",Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+4156f9fc5983b09eb97ad3d9abc248b15440b955,"Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness",China,China,China,35.86166000,104.19539700,edu,

 41c87d3342a85712a3591b6d49d99be8fc8d35d9,Face-trait inferences show robust child – adult agreement : Evidence from three types of faces,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 41edd975efbbc5af28971bc2669d9a1ae6ee8ace,PCN: Point Completion Network,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 41be021880a916305c82199ddc2298eb271f6590,Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

@@ -3814,9 +4656,12 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 419f05c5888804e0a9d9f2dc60839f2d8d65a7a6,Image Feature Extraction Using 2 D,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 4189862b2ce9c71e1b451deb58dd42f50c7d04a1,Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 4189862b2ce9c71e1b451deb58dd42f50c7d04a1,Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+4189862b2ce9c71e1b451deb58dd42f50c7d04a1,Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 416364cfdbc131d6544582e552daf25f585c557d,Synthesis and recognition of facial expressions in virtual 3D views,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 4189f93e1fbe8119f43f52c45ef320e33f45685d,Pattern Recognition and String Matching,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 410c8e4ee643889c054db64f52f6c85ec7cbcd62,All-Day Visual Place Recognition : Benchmark Dataset and Baseline,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

+414315d44a489d09c6e1933033ffba6396974ee1,Video Visual Relation Detection,China,China,China,35.86166000,104.19539700,edu,

+414315d44a489d09c6e1933033ffba6396974ee1,Video Visual Relation Detection,China,China,China,35.86166000,104.19539700,edu,

 414315d44a489d09c6e1933033ffba6396974ee1,Video Visual Relation Detection,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 41612c66beaad320af9b7d34407c7d0f4ca7bfea,Inhibition or Ideology ? The Neural Mechanisms of Evaluating Race-Targeted Government Assistance,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu,

 84036eb97d011ed2d7c9e4eb14fa346b5347c0ad,Revisiting Pre-training: An Efficient Training Method for Image Classification,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

@@ -3840,6 +4685,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 8488610866b29f279461f67ae948a3cfc72f6961,Sign language recognition using dynamic time warping and hand shape distance based on histogram of oriented gradient features,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 845145e7756d0fc10f74e7e40c0dfc513189425a,VizWiz Grand Challenge: Answering Visual Questions From Blind People,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 844bfcee3bc559960ae7a2b1fd68fcf7a926dc5a,SPICE: Semantic Propositional Image Caption Evaluation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+844bfcee3bc559960ae7a2b1fd68fcf7a926dc5a,SPICE: Semantic Propositional Image Caption Evaluation,Macquarie University,"Macquarie University, Sydney, Australia","Balaclava Rd, Macquarie Park NSW 2109, Australia",-33.77382370,151.11264980,edu,

 845299d67c87dc7f5f610b0c4380feb4daa4d0cc,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 845299d67c87dc7f5f610b0c4380feb4daa4d0cc,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 845299d67c87dc7f5f610b0c4380feb4daa4d0cc,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

@@ -3855,37 +4701,53 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 841855205818d3a6d6f85ec17a22515f4f062882,Low Resolution Face Recognition in the Wild,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 84676c330e4f8962703ca531db761c96bfda8067,Scalable misbehavior detection in online video chat services,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 847e07387142c1bcc65035109ccce681ef88362c,Feature Synthesis Using Genetic Programming for Face Expression Recognition,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

+84b451a5749837d28af5e96fd3349d852fefe4f2,A Robust Face Recognition Approach through Different Local Features,India,India,India,20.59368400,78.96288000,edu,

+84b451a5749837d28af5e96fd3349d852fefe4f2,A Robust Face Recognition Approach through Different Local Features,India,India,India,20.59368400,78.96288000,edu,

+846f3857976ba437e0592a848e47f6a3370880a3,SERSC 3 D Face Recognition Based on Depth and Intensity Gabor Features using Symbolic PCA and AdaBoost,India,India,India,20.59368400,78.96288000,edu,

 84e21140422935d0a18ef0a616ed1ce1541112b0,Probabilistic Joint Face-Skull Modelling for Facial Reconstruction,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 8481d4160bf5a9c760b5c4de60c82f102492317b,Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 841bf196ee0086c805bd5d1d0bddfadc87e424ec,Locally Kernel-based Nonlinear Regression for Face Recognition,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 841bf196ee0086c805bd5d1d0bddfadc87e424ec,Locally Kernel-based Nonlinear Regression for Face Recognition,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 8489236bbbb3298f4513c7e005a85ba7a48cc946,Vision and Touch for Grasping,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu,

+841a5de1d71a0b51957d9be9d9bebed33fb5d9fa,PCANet: A Simple Deep Learning Baseline for Image Classification?,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 84c0f814951b80c3b2e39caf3925b56a9b2e1733,16 Computation and Palaeography : Potentials and Limits,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 84a0f6db2b7155a83728101728794713898a859a,Learning 3D Keypoint Descriptors for Non-rigid Shape Matching,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 841c16f0e724fca3209a7a83fae94bec1eaae01c,"A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+84eb543a649f7331403caef6aaf96177c6cf5571,Automatic Rank Determination in Projective Nonnegative Matrix Factorization,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 8432320153aa3a348138e27ef80ae3e8631bb6f8,Optimization of neural networks via finite-value quantum fluctuations,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 846652200134bd02c65c502a4e587a11592479a4,Survey on Vision-based Path Prediction,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu,

 846652200134bd02c65c502a4e587a11592479a4,Survey on Vision-based Path Prediction,Hiroshima University,Hiroshima University,"Hiroshima University　広島大学 東広島キャンパス, 出会いの道　Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu,

 848db2f0758c314ddbc0bc4030633501df3a9276,TextMountain: Accurate Scene Text Detection via Instance Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+848db2f0758c314ddbc0bc4030633501df3a9276,TextMountain: Accurate Scene Text Detection via Instance Segmentation,China,China,China,35.86166000,104.19539700,edu,

 84c01c9760cd294718bd7c4b4c93596db1e5e068,Unsupervised Monocular Depth Estimation with Left-Right Consistency,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 842ad1d5b6ea8a982be544b562ec91d907f879bd,Synthesis-Based Low-Cost Gaze Analysis,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+8408f4b1193e8db25fec818a989d9fe3194d5ea6,Face Recognition using Radon Transform and Symbolic LDA,India,India,India,20.59368400,78.96288000,edu,

+8408f4b1193e8db25fec818a989d9fe3194d5ea6,Face Recognition using Radon Transform and Symbolic LDA,India,India,India,20.59368400,78.96288000,edu,

+84af83ff6412a756df58b6436f0d2e3c049e1f12,Abnormality Detection with Improved Histogram of Oriented Tracklets,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b,GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 84ca27f04b83da90a8e3020ef17316032e22f45e,Learning Image Matching by Simply Watching Video,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 84ca27f04b83da90a8e3020ef17316032e22f45e,Learning Image Matching by Simply Watching Video,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+84ca27f04b83da90a8e3020ef17316032e22f45e,Learning Image Matching by Simply Watching Video,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 42efcb8cac3889ac25368770058e000249f68d13,Analysing Soft Clothing Biometrics for Retrieval,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 42e9bfa84eecbafe32e1d2f5d52acfd617b57d18,Exploiting Temporal Information for 3D Human Pose Estimation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 42fe5666599f35b805657e829e8f9093ee95b908,Pose-Tolerant Face Recognition Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Electrical and Computer Engineering,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,

 42fe5666599f35b805657e829e8f9093ee95b908,Pose-Tolerant Face Recognition Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Electrical and Computer Engineering,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,

+422fc05b3ef72e96c87b9aa4190efa7c7fb8c170,Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions By,India,India,India,20.59368400,78.96288000,edu,

+423e0f595365640b653c1195749e01394cbcd937,Web-Scale Responsive Visual Search at Bing,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 421046882e42a0572c8654ae1df06bc789088c2f,Human Semantic Parsing for Person Re-identification,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 421046882e42a0572c8654ae1df06bc789088c2f,Human Semantic Parsing for Person Re-identification,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 42f422a9a67ba71a9ac699205940d8cc2dca8317,On-demand Learning for Deep Image Restoration,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 426f20cf5f836f410b6ed31a990ed1bbaaf6733b,UNLOCKING THE URBAN PHOTOGRAPHIC RECORD THROUGH 4 D SCENE MODELING,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 4276eb27e2e4fc3e0ceb769eca75e3c73b7f2e99,Face Recognition From Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 421a7b0b6cf45ccba3df41a99fbb272d324489d9,Facilitating Autism Research.,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu,

+4244d3340304b114e5c00e7b5797d2338a5c2b82,Face Recognition Using Local Texture Feature,India,India,India,20.59368400,78.96288000,edu,

 422e46aa845435822b7d93c2fb9103cd94128a21,PKU-NEC @ TRECVid 2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+422e46aa845435822b7d93c2fb9103cd94128a21,PKU-NEC @ TRECVid 2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video,China,China,China,35.86166000,104.19539700,edu,

 423b941641728a21e37f41359a691815cdd84ceb,Reversible Recursive Instance-Level Object Segmentation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 427f40b7b3e5b41909050d66a94ecf34fa57adaa,Learning Personal Specific Facial Dynamics for Face Recognition from Videos,University of Oulu,University 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,

 427f40b7b3e5b41909050d66a94ecf34fa57adaa,Learning Personal Specific Facial Dynamics for Face Recognition from Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+427f40b7b3e5b41909050d66a94ecf34fa57adaa,Learning Personal Specific Facial Dynamics for Face Recognition from Videos,China,China,China,35.86166000,104.19539700,edu,

+42e3dac0df30d754c7c7dab9e1bb94990034a90d,PANDA: Pose Aligned Networks for Deep Attribute Modeling,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu,

 42ea8a96eea023361721f0ea34264d3d0fc49ebd,Parameterized Principal Component Analysis,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 429961112a9b4f08f6b68acce8868b3468d72c6e,Learning Dilation Factors for Semantic Segmentation of Street Scenes,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 42ded74d4858bea1070dadb08b037115d9d15db5,Exigent: An Automatic Avatar Generation System,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -3894,6 +4756,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 42afe6d016e52c99e2c0d876052ade9c192d91e7,Spontaneous vs. posed facial behavior: automatic analysis of brow actions,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 4223666d1b0b1a60c74b14c2980069905088edc6,A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 42a712dbfe07262ba2b479e800008f08ad1c1388,Learning to Sample Using Stein Discrepancy,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

+42350e28d11e33641775bef4c7b41a2c3437e4fd,Multilinear Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 428cfbd3c237d04edb06690a7e9e9a40c62fc8da,"Algorithmic clothing: hybrid recommendation, from street-style-to-shop",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 428cfbd3c237d04edb06690a7e9e9a40c62fc8da,"Algorithmic clothing: hybrid recommendation, from street-style-to-shop",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,

 42d9ddd942ec89a3fc6a7beed174fd75c3dabff7,The Conditional Lucas & Kanade Algorithm,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,

@@ -3908,7 +4771,8 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 4223917177405eaa6bdedca061eb28f7b440ed8e,B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 4223917177405eaa6bdedca061eb28f7b440ed8e,B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 4223917177405eaa6bdedca061eb28f7b440ed8e,B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

-4233b07033a1ef8af188383f30602a5fd0aa2181,Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+4233b07033a1ef8af188383f30602a5fd0aa2181,Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+4233b07033a1ef8af188383f30602a5fd0aa2181,Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 42fc202713cb5205bba8be8a3b85a8be1e65d63f,QCC: A novel cluster algorithm based on Quasi-Cluster Centers,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

 42f66e1639b5b80318f68dc31ebc404b1153432c,ON LOCAL FEATURES FOR FACE VERIFICATION,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 42c1111c9cbb74b2755f58c6e9e84e7d1d11cc6e,Object Recognition Based on Amounts of Unlabeled Data,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu,

@@ -3932,7 +4796,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 42c04e2300fcbaa342e444e0555b89bc41aa3693,Efficient Single-Shot Multibox Detector for Construction Site Monitoring.,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 42c04e2300fcbaa342e444e0555b89bc41aa3693,Efficient Single-Shot Multibox Detector for Construction Site Monitoring.,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 42c04e2300fcbaa342e444e0555b89bc41aa3693,Efficient Single-Shot Multibox Detector for Construction Site Monitoring.,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

-4259f9b7700b060bda58630c4f2e2da9f0fedad6,Eye Gaze Correction with a Single Webcam Based on Eye-Replacement,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+4259f9b7700b060bda58630c4f2e2da9f0fedad6,Eye Gaze Correction with a Single Webcam Based on Eye-Replacement,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 4203f10b41e7931a63598989aa14478c04b725c9,Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 4226c9b155ef3c5c78bd122d870fec42ae695ad7,What is the Right Illumination Normalization for Face Recognition,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 4226c9b155ef3c5c78bd122d870fec42ae695ad7,What is the Right Illumination Normalization for Face Recognition,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

@@ -3943,6 +4807,10 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec
 428d1777846efa8e86b694791b8dbf114e188f30,Towards 4D Coupled Models of Conversational Facial Expression Interactions,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 428d1777846efa8e86b694791b8dbf114e188f30,Towards 4D Coupled Models of Conversational Facial Expression Interactions,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 fa518a033b1f6299d1826389bd1520cf52291b56,Facial Age Simulation using Age-specific 3D Models and Recursive PCA,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu,

+fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu,

+fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu,

+fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu,

+fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu,

 fa3fb32fe0cd392960549b0adb7a535eb3656abd,The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 fa3fb32fe0cd392960549b0adb7a535eb3656abd,The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 faf73a84c9ce13cdfc9014fa89ecde9927c8c84a,Meta Networks for Neural Style Transfer,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

@@ -3962,42 +4830,63 @@ fa43b7ee7dbd821745a3046328544fd8d39d3961,An Intriguing Influence of Visual Data
 faeefc5da67421ecd71d400f1505cfacb990119c,PastVision+: Thermovisual Inference of Recent Medicine Intake by Detecting Heated Objects and Cooled Lips,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 faeefc5da67421ecd71d400f1505cfacb990119c,PastVision+: Thermovisual Inference of Recent Medicine Intake by Detecting Heated Objects and Cooled Lips,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 fae83b145e5eeda8327de9f19df286edfaf5e60c,TOWARDS AN INTERACTIVE E-LEARNING SYSTEM BASED ON EMOTIONS AND AFFECTIVE COGNITION,Ionian University,Ionian University,"Πανεπιστήμιο Πατρών, Λεωφ. Ιπποκράτους, κ. Ρίου (Αγίου Γεωργίου Ρίου), Πάτρα, Δήμος Πατρέων, Περιφερειακή Ενότητα Αχαΐας, Περιφέρεια Δυτικής Ελλάδας, Πελοπόννησος, Δυτική Ελλάδα και Ιόνιο, 26443, Ελλάδα",38.28994820,21.78864690,edu,

+fa356a677a4258408f6d3901ef7b450ad1ad9edf,A Review of Numerous Facial Recognition Techniques in Image Processing,India,India,India,20.59368400,78.96288000,edu,

 fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,China,China,China,35.86166000,104.19539700,edu,

 fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 fa747db22e9e6cd7a64019eec6e0dd53e94be4b3,DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 fa33e20a3265d9a506c11a392cde9c367c30284e,Commonsense Justification for Action Explanation,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+fa83597bf71dbeb606bca6593bcef8ecd51e8661,MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu,

+fa83597bf71dbeb606bca6593bcef8ecd51e8661,MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu,

 faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9,AutoFocus: Efficient Multi-Scale Inference,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments Tmt .,India,India,India,20.59368400,78.96288000,edu,

+fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments Tmt .,India,India,India,20.59368400,78.96288000,edu,

 fae76d0e710545972807f18e45936ec5c6f1fe5d,RPIfield : A New Dataset for Temporally Evaluating Person Re-Identification ∗,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 fa72b7140f9fa4fb975344109e597e9566c65f4a,Automatic 3D Face Recognition Using Discriminant Common Vectors,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 fa50b5a54aa340d6fe7f46feb02229f1ab0f12c0,Joint Image Captioning and Question Answering,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 fa2d02343be1de448ac51c3a668c29f231b362f8,RAM: A Region-Aware Deep Model for Vehicle Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 fa2d02343be1de448ac51c3a668c29f231b362f8,RAM: A Region-Aware Deep Model for Vehicle Re-Identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 faa29975169ba3bbb954e518bc9814a5819876f6,Evolution-Preserving Dense Trajectory Descriptors,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+fa1b849697115ceede0a08ac552ea25ce2bf33a1,A N APPROACH TO F ACE R ECOGNITION OF 2-D IMAGES USING E IGEN F ACES AND PCA,India,India,India,20.59368400,78.96288000,edu,

 fa5aca45965e312362d2d75a69312a0678fdf5d7,Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 faef5bedb0b1e92730febce4e6af33b803bd463a,GANimation: Anatomically-Aware Facial Animation from a Single Image,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 faacebeb542792fae28745f51a943892be8d36a6,A Simple Yet Effective Baseline for 3d Human Pose Estimation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 fa4e709a7008248869584feca81250a8da8291e4,Biometric Quantization through Detection Rate Optimized Bit Allocation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+fa4e709a7008248869584feca81250a8da8291e4,Biometric Quantization through Detection Rate Optimized Bit Allocation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 fa4f59397f964a23e3c10335c67d9a24ef532d5c,"DAP3D-Net: Where, what and how actions occur in videos?",Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 fa90b825346a51562d42f6b59a343b98ea2e501a,Modeling Naive Psychology of Characters in Simple Commonsense Stories,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 fa90b825346a51562d42f6b59a343b98ea2e501a,Modeling Naive Psychology of Characters in Simple Commonsense Stories,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,

 fa93e027e795e98405dc72f123aadebafc5d80d8,Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 fa975dbeaf5db5629772bfa76d6d4104267361a2,Active Deformable Part Models,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,India,India,India,20.59368400,78.96288000,edu,

 fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,India,India,India,20.59368400,78.96288000,edu,

+fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,India,India,India,20.59368400,78.96288000,edu,

 fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Descriptors for Action Recognition in Videos,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu,

 6759fd391e3f8a1aea7673d617d3e1b04d069804,Pose Flow: Efficient Online Pose Tracking,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+6759fd391e3f8a1aea7673d617d3e1b04d069804,Pose Flow: Efficient Online Pose Tracking,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 6779b1ebdae5e3af812ce075611f2cb00073af82,Multiview Supervision By Registration,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 6779b1ebdae5e3af812ce075611f2cb00073af82,Multiview Supervision By Registration,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,University of Oulu,University 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,

 673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,China,China,China,35.86166000,104.19539700,edu,

 673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+6742c0a26315d7354ab6b1fa62a5fffaea06da14,What does 2 D geometric information really tell us about 3 D face shape ?,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 674e739709537f0e562b6cf114f15a5cc57fde7e,Nonsubsampled Contourlet Transform Based Descriptors for Gender Recognition,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

 6754c98ba73651f69525c770fb0705a1fae78eb5,Joint Cascade Face Detection and Alignment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

-6754c98ba73651f69525c770fb0705a1fae78eb5,Joint Cascade Face Detection and Alignment,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+6754c98ba73651f69525c770fb0705a1fae78eb5,Joint Cascade Face Detection and Alignment,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 676a136f5978783f75b5edbb38e8bb588e8efbbe,Matrix completion for resolving label ambiguity,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+679136c2844eeddca34e98e483aca1ff6ef5e902,Scene-Specific Pedestrian Detection Based on Parallel Vision,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+6775c818b26263c885b0ce85c224dfd942c9652e,PEDESTRIAN AND OBJECT DETECTION USING LEARNED CONVOLUTIONAL FILTERS,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+6775c818b26263c885b0ce85c224dfd942c9652e,PEDESTRIAN AND OBJECT DETECTION USING LEARNED CONVOLUTIONAL FILTERS,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 67fdf4f9eccdf295baf1cbd8b33250d29a334daf,Bidirectional Long-Short Term Memory for Video Description,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 671bfefb22d2044ab3e4402703bb88a10a7da78a,Triple consistency loss for pairing distributions in GAN-based face synthesis.,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 672e492d25510d0cc7fd4d06da0acb8934bd8a64,Compensating inaccurate annotations to train 3D facial landmark localization models,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

@@ -4012,6 +4901,8 @@ fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Desc
 67ab22dff1c21e8680f94948d80b77314b325d66,Learning for MultiTask Classification of Visual Attributes,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 67ab22dff1c21e8680f94948d80b77314b325d66,Learning for MultiTask Classification of Visual Attributes,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu,

 6729fec79b6cb472b4326745a67c6dde5772ed95,Large-Scale Visual Active Learning with Deep Probabilistic Ensembles,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,

+67a3cc056a539d17f00b0be550a2fc7cb2118dc5,Scalable Image Retrieval by Sparse Product Quantization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+67a3cc056a539d17f00b0be550a2fc7cb2118dc5,Scalable Image Retrieval by Sparse Product Quantization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 67a3cc056a539d17f00b0be550a2fc7cb2118dc5,Scalable Image Retrieval by Sparse Product Quantization,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 67e3fac91c699c085d47774990572d8ccdc36f15,Multiple Skip Connections and Dilated Convolutions for Semantic Segmentation,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu,

 67e3fac91c699c085d47774990572d8ccdc36f15,Multiple Skip Connections and Dilated Convolutions for Semantic Segmentation,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu,

@@ -4024,7 +4915,11 @@ fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Desc
 67538df7950dbba0ab7885a23b7abf6f56f39537,Person Re-identification by Salience Matching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 67c563d59e73a4d314e53eaa79dfcc59bdad92f4,Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 67c563d59e73a4d314e53eaa79dfcc59bdad92f4,Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,India,India,India,20.59368400,78.96288000,edu,

+676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,India,India,India,20.59368400,78.96288000,edu,

+676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,India,India,India,20.59368400,78.96288000,edu,

 67134d7bf637f7ac4e354bcb374d7c28c7740ab8,Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+67134d7bf637f7ac4e354bcb374d7c28c7740ab8,Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface,China,China,China,35.86166000,104.19539700,edu,

 67134d7bf637f7ac4e354bcb374d7c28c7740ab8,Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 677ebde61ba3936b805357e27fce06c44513a455,Facial Expression Recognition Based on Facial Components Detection and HOG Features,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 671697cf84dfbe53a1cb0bed29b9f649c653bbc5,Multispectral Deep Neural Networks for Pedestrian Detection,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

@@ -4033,28 +4928,40 @@ fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Desc
 679b7fa9e74b2aa7892eaea580def6ed4332a228,UvA-DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,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,

 679b7fa9e74b2aa7892eaea580def6ed4332a228,UvA-DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 679b7fa9e74b2aa7892eaea580def6ed4332a228,UvA-DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,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,

+6789bddbabf234f31df992a3356b36a47451efc7,Unsupervised Generation of Free-Form and Parameterized Avatars.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+67e488d4d31d65a31d4bc2a3337c587720af2a12,Cross-Class Sample Synthesis for Zero-shot Learning,China,China,China,35.86166000,104.19539700,edu,

 67c08e2b8b918a61dcbd0d4c63a74b89b833d259,Multi-class texture analysis in colorectal cancer histology,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu,

 676f9eabf4cfc1fd625228c83ff72f6499c67926,Face Identification and Clustering,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 673d4885370b27c863e11a4ece9189a6a45931cc,Recurrent Residual Module for Fast Inference in Videos,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 676733fb6d457401962305204155d6f4b7df5059,An overview of face de-identification in still images and videos,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 67190da5e5503ac2d9618b4f5fbe42701aee4ce3,Improving Object Tracking by Adapting Detectors,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+67fd4f209aa6e8359fc86bdc12c62bbdb0529077,Scalable Nearest Neighbor Algorithms for High Dimensional Data,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 eb6ee56e085ebf473da990d032a4249437a3e462,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,

 eb4d7688cd03f3863a175149f5fa293140f9df30,On classification of distorted images with deep convolutional neural networks,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 eba3fd6a446cb043c0347c9b4ce40567f1ce9110,Multi-task Relative Attributes Prediction by Incorporating Local Context and Global Style Information Features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 eb22aecb7b59ab01acdf498b33f5ba9ef1b64f64,A Multiple Motion Model Tracker Handling Occlusion and Rapid Motion Variation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 eb91eb5912de3d15f052a94cd0a188f553df90e7,On Detecting Domestic Abuse via Faces,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

 eb027969f9310e0ae941e2adee2d42cdf07d938c,VGGFace2: A Dataset for Recognising Faces across Pose and Age,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+eb044760b6502431da6b6f3d5ad11aaab851a1ff,Video Storytelling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ebca525383c4c451e97e801f2e2532d65e88dfeb,A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 ebb0a67e17f26dbb829b8a6b4b02d412a589efe7,Variational Inference for Beta-Bernoulli Dirichlet Process Mixture Models,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9,Fast algorithms for Higher-order Singular Value Decomposition from incomplete data,University of Alabama,University of Alabama,"Tuscaloosa, AL 35487, USA",33.21402330,-87.53914180,edu,

+ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu,

+ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu,

+ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu,

+ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu,

 eb0cf5727275f89323e2cbb4c0f0515b8ece75f8,A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu,

 ebd28f04c2ab1e61430d309ecbf7c832173d65a5,Feedback based Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 ebd28f04c2ab1e61430d309ecbf7c832173d65a5,Feedback based Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 ebd28f04c2ab1e61430d309ecbf7c832173d65a5,Feedback based Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 eb2d1d406405537773e70f7e949df656ee8779aa,ShapeLearner: Towards Shape-Based Visual Knowledge Harvesting,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

+eb6243b1c9506f9450dab2a09db9c17fc2c2d364,D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,India,India,India,20.59368400,78.96288000,edu,

+eb6243b1c9506f9450dab2a09db9c17fc2c2d364,D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,India,India,India,20.59368400,78.96288000,edu,

 ebe44c125f6d5c893df73d20b602e479a38e5b23,Algorithmic Identification of Looted Archaeological Sites from Space,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 eb7b387a3a006609b89ca5ed0e6b3a1d5ecb5e5a,Facial Expression Recognition using Neural Network,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

 eb43002e771de05db5e3e7e8eb6fcc75de0e30c4,Dataset Localization / Segmentation By dCNN Top Garments Bottom Garments Feature Extraction Feature Extraction Top Bottom A Table of Joint Distribution Inventory Dataset Localization / Segmentation By dCNN Feature Extraction Query garment Localization / Segmentation By dCNN Feature Extraction Recomm,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 eb43002e771de05db5e3e7e8eb6fcc75de0e30c4,Dataset Localization / Segmentation By dCNN Top Garments Bottom Garments Feature Extraction Feature Extraction Top Bottom A Table of Joint Distribution Inventory Dataset Localization / Segmentation By dCNN Feature Extraction Query garment Localization / Segmentation By dCNN Feature Extraction Recomm,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,

+ebabd1f7bc0274fec88a3dabaf115d3e226f198f,Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 ebe8408052d9bf05dc2007d01559dda6129840eb,Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 ebe8408052d9bf05dc2007d01559dda6129840eb,Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 eb4de1c205dc084c7584a945970869961a884284,CSLDA and LDA fusion based face recognition,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

@@ -4063,41 +4970,61 @@ eba0510f6d34320857b0554627b5f2925553f820,MouseFree Vision-Based Human-Computer I
 eba0510f6d34320857b0554627b5f2925553f820,MouseFree Vision-Based Human-Computer Interaction through Real-Time Hand Tracking and Gesture Recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 eb7e0dfc61f3f9993a39316ccaaa263059b3a108,Spatially Adaptive Computation Time for Residual Networks,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,

 eb1208a7f535de6c6180e4dbeb6eef2a27500c52,"To be or Not to be Threatening, but What was the Question? Biased Face Evaluation in Social Anxiety and Depression Depends on How You Frame the Query",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+ebd36259defde84deb0d4c09695b54befe538ac8,Robust Generalized Low Rank Approximations of Matrices,China,China,China,35.86166000,104.19539700,edu,

 ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",China,China,China,35.86166000,104.19539700,edu,

 ebad62ebe00fe0f0c19ce04c3f7250506137fc71,Evaluating Auto-adaptation Methods for Fine-Grained Adaptable Processors,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275,State-Trace Analysis of the Face Inversion Effect,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

 eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275,State-Trace Analysis of the Face Inversion Effect,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

 ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,University of Oulu,University 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,

+ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,China,China,China,35.86166000,104.19539700,edu,

 ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,India,India,India,20.59368400,78.96288000,edu,

 ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,India,India,India,20.59368400,78.96288000,edu,

+ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,India,India,India,20.59368400,78.96288000,edu,

 eb8519cec0d7a781923f68fdca0891713cb81163,Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 eb8519cec0d7a781923f68fdca0891713cb81163,Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition,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,

 eb2b9c34323d3a8d097a2564c8864a742b9f73be,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 eb2b9c34323d3a8d097a2564c8864a742b9f73be,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 eb100638ed73b82e1cce8475bb8e180cb22a09a2,Temporal Action Detection with Structured Segment Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 eb9c20e96f22b9c890f7978878c5479d9e64bb47,LEARNING DESCRIPTIVE MODELS OF OBJECTS AND ACTIVITIES FROM EGOCENTRIC VIDEO,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 520d586b50ecaa9753f714c6e76e6b819663d1a4,On the Dimensionality Reduction for Sparse Representation Based Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 52fada1aac0678c4d880c84c0155882ab502b1e9,Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 52fada1aac0678c4d880c84c0155882ab502b1e9,Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 523b2cbc48decfabffb66ecaeced4fe6a6f2ac78,Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+523b2cbc48decfabffb66ecaeced4fe6a6f2ac78,Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder,China,China,China,35.86166000,104.19539700,edu,

 52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19,Integrating crowd simulation for pedestrian tracking in a multi-camera system,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

+529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 52a08919efb7a1d0f28eda82bacd9d495639a6b3,Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 52bfa4a8b3e3b8e0c0031ae53caddb4c067c04e3,Procrustean Normal Distribution for Non-Rigid Structure from Motion,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 52ef80e422dcd4650fac136820554033e54cf366,Discovering object categories in image collections ∗,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 52ef80e422dcd4650fac136820554033e54cf366,Discovering object categories in image collections ∗,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 52ef80e422dcd4650fac136820554033e54cf366,Discovering object categories in image collections ∗,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,

+523abe29cc278f9daf03fe74d1e09d9e2711b73e,Facial Recognition System : A Review,India,India,India,20.59368400,78.96288000,edu,

 52c91fcf996af72d191520d659af44e310f86ef9,Interactive Image Search with Attribute-based Guidance and Personalization,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+526ce11a6c80716fca69bdc111f32dfbe045e400,A Survey on Dataset Recognition of 3 D Face with Missing Parts,India,India,India,20.59368400,78.96288000,edu,

 520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu,

+520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu,

 520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu,

+520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu,

 523854a7d8755e944bd50217c14481fe1329a969,A Differentially Private Kernel Two-Sample Test,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 523854a7d8755e944bd50217c14481fe1329a969,A Differentially Private Kernel Two-Sample Test,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 5257c447f9c50ee8bb2011fb72f8bd40bc0291d8,Automatic gait recognition using area-based metrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

@@ -4108,6 +5035,7 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi
 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,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,

 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

+52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -4124,7 +5052,7 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi
 527dd9647c474490ac33ac5b0a19aa76b226610d,Intact perception but abnormal orientation towards face-like objects in young children with ASD,University of Toulouse,University of Toulouse,"Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA",30.17818160,-93.23605810,edu,

 525eb080b158a492bfd02b421891c7383303dac5,Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 52049fb96156729ce0ad88f86fa617ecf7d237e1,Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

-52049fb96156729ce0ad88f86fa617ecf7d237e1,Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+52049fb96156729ce0ad88f86fa617ecf7d237e1,Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 523303e477d3b5f27373047c576b9b6dbe478f8d,Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 5240e60456b22467ab838c815a4f93821bae6b4b,The Focus of Spatial Attention Determines the Number and Precision of Face Representations in Working Memory.,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 5240e60456b22467ab838c815a4f93821bae6b4b,The Focus of Spatial Attention Determines the Number and Precision of Face Representations in Working Memory.,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

@@ -4141,15 +5069,22 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi
 521cfbc1949289a7ffc3ff90af7c55adeb43db2a,Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 52b0104a43f55c5652001c06dfabfc4c327018bf,Hybrid-Indexing Multi-type Features for Large-Scale Image Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 52b0104a43f55c5652001c06dfabfc4c327018bf,Hybrid-Indexing Multi-type Features for Large-Scale Image Search,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

+52d9ad99874f6b76184ad9abe45e824a6568617b,Large-Scale Active Learning with Approximations of Expected Model Output Changes,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu,

+5239001571bc64de3e61be0be8985860f08d7e7e,Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5284e9d84ef74683c306314e7a79786438514c90,Exploring the Long Tail of Social Media Tags,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,

 5212e0de35fbcb928bc57326c21a45dc046a5019,"A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community",University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 52f8eb239997d9a324d4794529c60522db8d08bf,Learning Multi-scale Block Local Binary Patterns for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+52f8eb239997d9a324d4794529c60522db8d08bf,Learning Multi-scale Block Local Binary Patterns for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,China,China,China,35.86166000,104.19539700,edu,

+5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,China,China,China,35.86166000,104.19539700,edu,

 5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 52d7eb0fbc3522434c13cc247549f74bb9609c5d,WIDER FACE: A Face Detection Benchmark,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 528c03761682f73eed7d736c19551856fe92b1e1,"Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 528c03761682f73eed7d736c19551856fe92b1e1,"Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos",University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu,

 528c03761682f73eed7d736c19551856fe92b1e1,"Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,China,China,China,35.86166000,104.19539700,edu,

+52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,India,India,India,20.59368400,78.96288000,edu,

 5250f319cae32437489bb97b2ed9a1dc962d4d39,Computational Baby Learning.,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 5250f319cae32437489bb97b2ed9a1dc962d4d39,Computational Baby Learning.,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 529073b49fb28e8919d6862f2ae445477c7337bd,Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

@@ -4159,9 +5094,11 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi
 520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,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,

-520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+527cc8cd2af06a9ac2e5cded806bab5c3faad9cf,Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu,

 52118fbfbb0ad29e8eefee27438fdfc51b350c8f,MidRank: Learning to rank based on subsequences,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 52118fbfbb0ad29e8eefee27438fdfc51b350c8f,MidRank: Learning to rank based on subsequences,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,

+52909a123ba3b088a5a93d930dcd029ec2f1f24f,A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 52909a123ba3b088a5a93d930dcd029ec2f1f24f,A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

 529b1f33aed49dbe025a99ac1d211c777ad881ec,Fast and exact bi-directional fitting of active appearance models,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 529b1f33aed49dbe025a99ac1d211c777ad881ec,Fast and exact bi-directional fitting of active appearance models,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

@@ -4182,10 +5119,13 @@ bd4f2e7a196c0d6033a49390ee8836f4f551b7c8,ICDAR 2015 competition on Robust Readin
 bd4f2e7a196c0d6033a49390ee8836f4f551b7c8,ICDAR 2015 competition on Robust Reading,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 bde3c1298d4136369c8607dd5dc3f0800a27a8df,Extracting adaptive contextual cues from unlabeled regions,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 bde3c1298d4136369c8607dd5dc3f0800a27a8df,Extracting adaptive contextual cues from unlabeled regions,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,China,China,China,35.86166000,104.19539700,edu,

 bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,China,China,China,35.86166000,104.19539700,edu,

 bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 bd1d466299f585f2f67500a6ceef19008c4cb637,Pose and Illumination Invariant Face Recognition Using Video Sequences,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 bd433d471af50b571d7284afb5ee435654ace99f,Going Deeper with Convolutional Neural Network for Intelligent Transportation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+bdbf414a2059d542f501ad9b1d21eacc9831082b,Two-Layer Mixture Network Ensemble for Apparel Attributes Classification,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 bd236913cfe07896e171ece9bda62c18b8c8197e,Deep Learning with Energy-efficient Binary Gradient Cameras,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,

 bd5802008156ed1ee6919ccaf21ba6c06bad2a4c,Robust eye contact detection in natural multi-person interactions using gaze and speaking behaviour,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 bd5802008156ed1ee6919ccaf21ba6c06bad2a4c,Robust eye contact detection in natural multi-person interactions using gaze and speaking behaviour,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -4194,6 +5134,9 @@ bd5802008156ed1ee6919ccaf21ba6c06bad2a4c,Robust eye contact detection in natural
 bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d,Modeling distance functions induced by face recognition algorithms,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d,Modeling distance functions induced by face recognition algorithms,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 bd5c222323d6b46ea71f329cafe11d38533f6f3a,Repetition Suppression and Memory for Faces is Reduced in Adults with Autism Spectrum Conditions,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

+bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,India,India,India,20.59368400,78.96288000,edu,

+bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,India,India,India,20.59368400,78.96288000,edu,

+bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,India,India,India,20.59368400,78.96288000,edu,

 bd70f832e133fb87bae82dfaa0ae9d1599e52e4b,Combining Classifier for Face Identification at Unknown Views with a Single Model Image,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 bd0201b32e7eca7818468f2b5cb1fb4374de75b9,FACIAL EMOTION EXPRESSIONS RECOGNITION WITH BRAIN ACTIVITES USING KINECT SENSOR V2,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 bd0201b32e7eca7818468f2b5cb1fb4374de75b9,FACIAL EMOTION EXPRESSIONS RECOGNITION WITH BRAIN ACTIVITES USING KINECT SENSOR V2,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

@@ -4204,6 +5147,7 @@ bd7477c250f01f63f438c4f3bebe374caf4b86ba,REAL-TIME FACE AND HAND DETECTION FOR V
 bd17484e0a6773a74c51c41e773e202080682b3b,2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 bd9c9729475ba7e3b255e24e7478a5acb393c8e9,Interpretable Partitioned Embedding for Customized Fashion Outfit Composition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 bd9c9729475ba7e3b255e24e7478a5acb393c8e9,Interpretable Partitioned Embedding for Customized Fashion Outfit Composition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

+bd9c9729475ba7e3b255e24e7478a5acb393c8e9,Interpretable Partitioned Embedding for Customized Fashion Outfit Composition,China,China,China,35.86166000,104.19539700,edu,

 bd26dabab576adb6af30484183c9c9c8379bf2e0,SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 bd9157331104a0708aa4f8ae79b7651a5be797c6,SLAC: A Sparsely Labeled Dataset for Action Classification and Localization,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 bd8f77b7d3b9d272f7a68defc1412f73e5ac3135,SphereFace: Deep Hypersphere Embedding for Face Recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -4221,6 +5165,7 @@ bd0265ba7f391dc3df9059da3f487f7ef17144df,Data-Driven Sparse Sensor Placement,Uni
 bda201e2a941def8572e8faa42c988eba3f6c990,MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

 bda201e2a941def8572e8faa42c988eba3f6c990,MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

 bd6099429bb7bf248b1fd6a1739e744512660d55,"Regularized Discriminant Analysis, Ridge Regression and Beyond",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+bd6099429bb7bf248b1fd6a1739e744512660d55,"Regularized Discriminant Analysis, Ridge Regression and Beyond",China,China,China,35.86166000,104.19539700,edu,

 bd8f3fef958ebed5576792078f84c43999b1b207,BUAA-iCC at ImageCLEF 2015 Scalable Concept Image Annotation Challenge,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 bd7e61b2ad008741b0845fbf3e1a7a3a9805f147,MTTV - An Interactive Trajectory Visualization and Analysis Tool,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 bd8a85acaa45d4068fca584e8d9e3bd3bb4eea4d,Toward Scene Recognition by Discovering Semantic Structures and Parts by,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

@@ -4232,6 +5177,7 @@ bdaed05eefddd2829c937978852fcf3cedc84620,Multifactor Analysis for Face Recogniti
 bdaed05eefddd2829c937978852fcf3cedc84620,Multifactor Analysis for Face Recognition Based on Factor-Dependent Geometry,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,

 bd98a68ef57d60aa6c939504d06d95fe08e2aceb,ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks,Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu,

 a5f094bd197126025cabc50b30e0f03d56d8c594,Online Motion Agreement Tracking,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+a577eefb31ba63baa087f321537b0be2784ec013,Security Event Recognition for Visual Surveillance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a576d19473a12e16262266989376ad1e77e8e817,Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 a576d19473a12e16262266989376ad1e77e8e817,Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model,Aberystwyth University,Aberystwyth University,"Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK",52.41073580,-4.05295501,edu,

 a54fcdcb02da0844d28b3191145bbc99675714df,"FATAUVA-Net: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation",National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

@@ -4243,6 +5189,7 @@ a51882cfd0706512bf50e12c0a7dd0775285030d,Cross-Modal Face Matching: Beyond Viewe
 a566780ffbaf2e1ee88a821be4d0ffade934c518,Greedy Representative Selection for Unsupervised Data Analysis,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 a538b05ebb01a40323997629e171c91aa28b8e2f,Rectified Linear Units Improve Restricted Boltzmann Machines,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 a59978ac12815cada0936dce760a6ff6aef376d9,Multi-Scale Face Restoration With Sequential Gating Ensemble Network,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f,A Neural Approach to Blind Motion Deblurring,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 a5c8fc1ca4f06a344b53dc81ebc6d87f54896722,Learning to see people like people,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 a5c8fc1ca4f06a344b53dc81ebc6d87f54896722,Learning to see people like people,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 a5c8fc1ca4f06a344b53dc81ebc6d87f54896722,Learning to see people like people,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

@@ -4252,8 +5199,10 @@ a58bef564df2bebbcb24c58c4a69bc6c51ab2d39,Kernel Implicit Variational Inference,T
 a58bef564df2bebbcb24c58c4a69bc6c51ab2d39,Kernel Implicit Variational Inference,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 a5219fff98dfe3ec81dee95c4ead69a8e24cc802,Dual-Glance Model for Deciphering Social Relationships,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 a5219fff98dfe3ec81dee95c4ead69a8e24cc802,Dual-Glance Model for Deciphering Social Relationships,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+a5219fff98dfe3ec81dee95c4ead69a8e24cc802,Dual-Glance Model for Deciphering Social Relationships,"Minneapolis, USA","Minneapolis, USA","Minneapolis, MN, USA",44.97775300,-93.26501080,edu,

 a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

+a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment,China,China,China,35.86166000,104.19539700,edu,

 a59cdc49185689f3f9efdf7ee261c78f9c180789,A New Approach for Learning Discriminative Dictionary for Pattern Classification,Hanoi University of Science and Technology,Hanoi University of Science and Technology,"HUST, Trần Đại Nghĩa, Hai Bà Trưng, Hà Nội, 10999, Việt Nam",21.00395200,105.84360183,edu,

 a50d2245d46ce0595ddbf25ae9acb8513aa70067,Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 a5a321769ebc09a34b26023d8bd10f5ccfbf57f7,Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images.,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

@@ -4265,12 +5214,17 @@ a51cdc57f35f536468325a40a7777954c864935b,Fast and Robust Realtime Storefront Log
 a5ade88747fa5769c9c92ffde9b7196ff085a9eb,Why is facial expression analysis in the wild challenging?,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 a5ade88747fa5769c9c92ffde9b7196ff085a9eb,Why is facial expression analysis in the wild challenging?,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 a5ade88747fa5769c9c92ffde9b7196ff085a9eb,Why is facial expression analysis in the wild challenging?,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+a5fcb663bffdd39523964e3e958566f4dfbfae90,Günther Palm Towards Robust Speech Acquisition using Sensor Arrays,India,India,India,20.59368400,78.96288000,edu,

 a523c62fd27eb1f4d2f7090bf0f346c895c5eed8,HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+a50099f5364d3d4e82991418647c727f0f9c297c,A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a50099f5364d3d4e82991418647c727f0f9c297c,A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 a5766dd5f2efe0b44879799dd5499edfb6b44839,Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 a5766dd5f2efe0b44879799dd5499edfb6b44839,Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+a5766dd5f2efe0b44879799dd5499edfb6b44839,Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model,China,China,China,35.86166000,104.19539700,edu,

 a5f11c132eaab258a7cea2d681875af09cddba65,A spatiotemporal model with visual attention for video classification,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 a5bc960e186391ca0ba0718aec70069abb5134e5,Age Invariant Face Recognition Using Convolutional Neural Networks and Set Distances,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

+a52d6c456122007f10c90989a1e81dc8e1c599da,Query-Adaptive Image Search With Hash Codes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+e0dedb6fc4d370f4399bf7d67e234dc44deb4333,Material : MultiTask Video Captioning with Video and Entailment Generation,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 e088a2537492ed5a22885e871a51102a95c97cb6,On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks,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,

 e00c26e3d16a44baf7be389e94ed0025a0ea3867,An Evaluation of Super-Resolution for Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 e059650472dd7bfd6907b02de491e312a0cb6d4e,Parallel Genetic Algorithms and Machine Learning,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu,

@@ -4280,6 +5234,7 @@ e083d6f5084d8a8582af797999185c4e0d2c841a,R-CNNs for Pose Estimation and Action D
 e083d6f5084d8a8582af797999185c4e0d2c841a,R-CNNs for Pose Estimation and Action Detection,"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,

 e0da17d5a8460ab74d4e8db338779feb2bb9fbbe,Labelless Scene Classification with Semantic Matching,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 e0da17d5a8460ab74d4e8db338779feb2bb9fbbe,Labelless Scene Classification with Semantic Matching,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu,

+e0e8c7145c9b389dad2f4e1982f2b9c31b766503,Augmenting Crowd-Sourced 3 D Reconstructions using Semantic Detections,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 e0b5815b0d3d6c02a114ee27dc6ea2d2c40a4458,Videos as Space-Time Region Graphs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 e00d4e4ba25fff3583b180db078ef962bf7d6824,Face Verification with MultiTask and Multi-Scale Features Fusion,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 e03bda45248b4169e2a20cb9124ae60440cad2de,"Learning a Dictionary of Shape-Components in Visual Cortex : Comparison with Neurons , Humans and Machines by Thomas Serre",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -4318,16 +5273,19 @@ e01e2b2d12acca616d01eb087d63363f127ad750,Robust Maximum-likelihood On-line LiDAR
 e08038b14165536c52ffe950d90d0f43be9c8f15,Smart Augmentation Learning an Optimal Data Augmentation Strategy,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu,

 e08038b14165536c52ffe950d90d0f43be9c8f15,Smart Augmentation Learning an Optimal Data Augmentation Strategy,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu,

 e08038b14165536c52ffe950d90d0f43be9c8f15,Smart Augmentation Learning an Optimal Data Augmentation Strategy,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu,

+e054291cbf250592d032722b99c414c2e4741c03,A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 e04428ce77d6d459b7063d6bda7a8f72a539f284,RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu,

 e0638e0628021712ac76e3472663ccc17bd8838c,SIGN LANGUAGE RECOGNITION : STATE OF THE ART,Sharda University,Sharda University,"Sharda University, Yamuna Expressway, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, 201308, India",28.47375120,77.48361480,edu,

 e032f5bbee040b3898170b3f9091384658caf0d2,NAVIGATION BEHAVIOR DESIGN AND REPRESENTATIONS FOR A PEOPLE AWARE MOBILE ROBOT SYSTEM,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9,Controllable Top-down Feature Transformer,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 e0ea8ef91bd0a35aec31c9a493137163b4f042b6,Sparse representation with nearest subspaces for face recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 e0ea8ef91bd0a35aec31c9a493137163b4f042b6,Sparse representation with nearest subspaces for face recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

+e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu,

 e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,India,India,India,20.59368400,78.96288000,edu,

 e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 e01bb53b611c679141494f3ffe6f0b91953af658,FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 e01bb53b611c679141494f3ffe6f0b91953af658,FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -4336,6 +5294,7 @@ e06f94ebf10b511d121725c318cd289c55349c2d,Training an adaptive dialogue policy fo
 e06f94ebf10b511d121725c318cd289c55349c2d,Training an adaptive dialogue policy for interactive learning of visually grounded word meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 e06f94ebf10b511d121725c318cd289c55349c2d,Training an adaptive dialogue policy for interactive learning of visually grounded word meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoders,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,

+e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6,Fusion Scheme for Semantic and Instance-level Segmentation,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

 68f89c1ee75a018c8eff86e15b1d2383c250529b,Final Report for Project Localizing Objects and Actions in Videos Using Accompanying Text,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 68f89c1ee75a018c8eff86e15b1d2383c250529b,Final Report for Project Localizing Objects and Actions in Videos Using Accompanying Text,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 68f89c1ee75a018c8eff86e15b1d2383c250529b,Final Report for Project Localizing Objects and Actions in Videos Using Accompanying Text,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

@@ -4353,6 +5312,7 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder
 6890123baba105254c91adada3665f84017cd864,SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 68ce1572b18c95fe9c60bc11d9d33f8310902154,Budgeted Nonparametric Learning from Data Streams,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 68c5238994e3f654adea0ccd8bca29f2a24087fc,pLSA-based zero-shot learning,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

+68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5,AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS,India,India,India,20.59368400,78.96288000,edu,

 68c2e7be6e989c2089246ee1bfe0fd902feff76c,Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu,

 68c2e7be6e989c2089246ee1bfe0fd902feff76c,Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu,

 68c2e7be6e989c2089246ee1bfe0fd902feff76c,Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu,

@@ -4368,7 +5328,9 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder
 682760f2f767fb47e1e2ca35db3becbb6153756f,The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 682760f2f767fb47e1e2ca35db3becbb6153756f,The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090,AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090,AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation,China,China,China,35.86166000,104.19539700,edu,

 68412fe1d3d80dd12d88084006ae5f0a7da2d974,Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+68412fe1d3d80dd12d88084006ae5f0a7da2d974,Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 6880013eb0b91a2b334e0be0dced0a1a79943469,Discrimination-aware Channel Pruning for Deep Neural Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 6880013eb0b91a2b334e0be0dced0a1a79943469,Discrimination-aware Channel Pruning for Deep Neural Networks,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 6829a415730eb94e447bd707a95812fa35a7f9fb,Unsupervised image classification of medical ultrasound data by multiresolution elastic registration.,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

@@ -4378,10 +5340,22 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder
 685f65efc49479536e0df0974d18bed36a3190ea,A sequential guiding network with attention for image captioning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 685f65efc49479536e0df0974d18bed36a3190ea,A sequential guiding network with attention for image captioning,North China Electric Power University,North China Electric Power University,"华北电力大学, 永华北大街, 莲池区, 保定市, 莲池区 (Lianchi), 保定市, 河北省, 071000, 中国",38.87604460,115.49738730,edu,

 68c3e61cefcfe4812df54be12625dabe66fb06a4,A Compact Deep Learning Model for Robust Facial Expression Recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

-687fc9ffea3ca36d87817faf37492941ec6eb0b9,Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+687fc9ffea3ca36d87817faf37492941ec6eb0b9,Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,China,China,China,35.86166000,104.19539700,edu,

+6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,China,China,China,35.86166000,104.19539700,edu,

+6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,China,China,China,35.86166000,104.19539700,edu,

+6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

+680402e42c874c14a32146865d985588985744a4,DETECTION AND TRACKING OF MULTIPLE HUMANS IN HIGH-DENSITY CROWDS,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 6861552bf6730529d3fac5d6f2bb7e0f491edea2,Neural Self Talk: Image Understanding via Continuous Questioning and Answering,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 68c6df1249e1ee56835f79e1877506a16d8418f4,Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 68c6df1249e1ee56835f79e1877506a16d8418f4,Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

+68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

+68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

+684f5166d8147b59d9e0938d627beff8c9d208dd,Discriminative Block-Diagonal Representation Learning for Image Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,China,China,China,35.86166000,104.19539700,edu,

+68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,China,China,China,35.86166000,104.19539700,edu,

+68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,China,China,China,35.86166000,104.19539700,edu,

 68f69e6c6c66cfde3d02237a6918c9d1ee678e1b,Enhancing Concept Detection by Pruning Data with MCA-Based Transaction Weights,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

 68f69e6c6c66cfde3d02237a6918c9d1ee678e1b,Enhancing Concept Detection by Pruning Data with MCA-Based Transaction Weights,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu,

 68245f308f8049dc40f146e296d6e6a6bdba1ff4,Private and Shared Taste in Art and Face Appreciation,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu,

@@ -4390,7 +5364,7 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder
 68ba2888a6fca08cd36da66d999a881f6a536e96,Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

 68d15e9fa60f3a5c9ca2fb43f2e559730c65189f,Cashtags: Protecting the Input and Display of Sensitive Data,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 683ec608442617d11200cfbcd816e86ce9ec0899,Dual Linear Regression Based Classification for Face Cluster Recognition,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu,

-687e17db5043661f8921fb86f215e9ca2264d4d2,A robust elastic and partial matching metric for face recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+687e17db5043661f8921fb86f215e9ca2264d4d2,A robust elastic and partial matching metric for face recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 68d96226fb71daad7d1a4ccbda267062244d9bc0,Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 68d96226fb71daad7d1a4ccbda267062244d9bc0,Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 68a04a3ae2086986877fee2c82ae68e3631d0356,Thermal and Reflectance Based Personal Identification Methodology in Challenging Variable Illuminations,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

@@ -4401,15 +5375,21 @@ c9987af05f7df6539c5742072c027dfcf0394354,"DS++: a flexible, scalable and provabl
 c9efc5823212d700b08da5e482ffd46934ae0f58,Multi-target tracking with context from interaction feature strings,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 c95e6cf689809cd6a7c9aea99a083fbe2af01457,Foreign object detection ( FOD ) using multi-class classifier with single camera vs . distance map with stereo configuration,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu,

 c9424d64b12a4abe0af201e7b641409e182babab,"Which, When, and How: Hierarchical Clustering with Human-Machine Cooperation",Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

-c9e4e1bb544a892fe07c99cc9a999f0762237cc3,Natural Language Person Retrieval,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+c9e4e1bb544a892fe07c99cc9a999f0762237cc3,Natural Language Person Retrieval,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 c904fb8be3e9948ccbf4f3c2549f0390a1f4903d,Towards social pattern characterization in egocentric photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

-c904fb8be3e9948ccbf4f3c2549f0390a1f4903d,Towards social pattern characterization in egocentric photo-streams,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c904fb8be3e9948ccbf4f3c2549f0390a1f4903d,Towards social pattern characterization in egocentric photo-streams,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+c95ad088c9d96c7e94428b7e90ea8bf547cd9e42,Human Identification using Face and Voice Recognition,India,India,India,20.59368400,78.96288000,edu,

+c95ad088c9d96c7e94428b7e90ea8bf547cd9e42,Human Identification using Face and Voice Recognition,India,India,India,20.59368400,78.96288000,edu,

 c9e955cb9709f16faeb0c840f4dae92eb875450a,Proposal of Novel Histogram Features for Face Detection,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+c9e955cb9709f16faeb0c840f4dae92eb875450a,Proposal of Novel Histogram Features for Face Detection,China,China,China,35.86166000,104.19539700,edu,

+c9e955cb9709f16faeb0c840f4dae92eb875450a,Proposal of Novel Histogram Features for Face Detection,China,China,China,35.86166000,104.19539700,edu,

 c93e26b52cb22382ed2627bf32f86fa18d034cbf,Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 c95cd36779fcbe45e3831ffcd3314e19c85defc5,Face recognition using multi-modal low-rank dictionary learning,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

+c97cd49536fcec5b50962eaf4658a973cd85bba0,Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c97cd49536fcec5b50962eaf4658a973cd85bba0,Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c96c0b6af744ce5f469db47968e331926ff47e3b,Priming Neural Networks,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 c96bd1a584d0e5d86148cfcab0f573825bc3fb5b,Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 c96bd1a584d0e5d86148cfcab0f573825bc3fb5b,Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -4428,15 +5408,20 @@ c9bbd7828437e70cc3e6863b278aa56a7d545150,Unconstrained Fashion Landmark Detectio
 c9bbd7828437e70cc3e6863b278aa56a7d545150,Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 c9579768d142a7020d095090183805c98a2f78e5,The Bochum / USC Face Recognition System and How it Fared in the FERET Phase III Test,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,

 c901524f01c7a0db3bb01afa1d5828913c84628a,Image Region Selection and Ensemble for Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

-c9abf6cb2d916262425033db12cf0181d40be7cb,Entropy-based Latent Structured Output Prediction-Supplementary materials,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,India,India,India,20.59368400,78.96288000,edu,

+c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,India,India,India,20.59368400,78.96288000,edu,

+c9abf6cb2d916262425033db12cf0181d40be7cb,Entropy-based Latent Structured Output Prediction-Supplementary materials,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu,

 c919a9f61656cdcd3a26076057ee006c48e8f609,High-Value Target Detection,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu,

 c9b98c98357a154bceb2287c427c5fa9c17b4a07,Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 c9367ed83156d4d682cefc59301b67f5460013e0,Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-c9c1255057652584603945508b7151206e9e9069,On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+c9c1255057652584603945508b7151206e9e9069,On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c9ff9d4dc27e698a4795619a1291a488f23fdfd0,Zero-Shot Learning via Class-Conditioned Deep Generative Models,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 c9ff9d4dc27e698a4795619a1291a488f23fdfd0,Zero-Shot Learning via Class-Conditioned Deep Generative Models,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+c9ff9d4dc27e698a4795619a1291a488f23fdfd0,Zero-Shot Learning via Class-Conditioned Deep Generative Models,India,India,India,20.59368400,78.96288000,edu,

 c92da368a6a886211dc759fe7b1b777a64d8b682,Face Recognition System based on Face Pose Estimation and Frontal Face Pose Synthesis,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

 c92da368a6a886211dc759fe7b1b777a64d8b682,Face Recognition System based on Face Pose Estimation and Frontal Face Pose Synthesis,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

 c9ca18d217ce4bc134e4dcf08068d0ec6d60cc10,SVM Implementation for Face Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -4452,25 +5437,38 @@ e8d9f431ac20f0ef88291cf1b370fbbca028315a,Unravelling Robustness of Deep Learning
 e82b8fbba894dbe61fdc1ecc36640a23e2fbe6da,An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 e8d8a42d0ee8849bbaf99c52cadeb2f1ebe564b0,Building Data-driven Models with Microstructural Images: Generalization and Interpretability,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,

 e85a255a970ee4c1eecc3e3d110e157f3e0a4629,Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+e8b2a98f87b7b2593b4a046464c1ec63bfd13b51,CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e84973cf0337de616f394df06087989a75a0df3e,ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17),Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+e84973cf0337de616f394df06087989a75a0df3e,ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17),China,China,China,35.86166000,104.19539700,edu,

 e84973cf0337de616f394df06087989a75a0df3e,ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17),Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 e8f9a45fdd76fa33855d9a7a6e70ff1821d0e2e1,Parametric surface denoising,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu,

 e8c9dcbf56714db53063b9c367e3e44300141ff6,Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 e8c9dcbf56714db53063b9c367e3e44300141ff6,Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 e8c9dcbf56714db53063b9c367e3e44300141ff6,Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 e8391fd7ef979a63c389ab0fa7c00fe67e4498f8,Multiple object tracking with combinatorial model based on appearance and local features,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+e8391fd7ef979a63c389ab0fa7c00fe67e4498f8,Multiple object tracking with combinatorial model based on appearance and local features,China,China,China,35.86166000,104.19539700,edu,

+e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,India,India,India,20.59368400,78.96288000,edu,

+e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,India,India,India,20.59368400,78.96288000,edu,

 e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778,Rank : Non-Linear Object Detection,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 e8cda2c754670850ec722799640c6cb42dfb8199,4D Generic Video Object Proposals,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 e8327930af0c719e3084d0ffb284704888976515,Exemplar-SVMs for Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 e8327930af0c719e3084d0ffb284704888976515,Exemplar-SVMs for Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 e883cf759c3abecf59bf9f13053b1eb59bde01a6,Deep Multitask Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+e85b6f50b14014ee4a9212de4716031e21e92a89,Multiple Sensor Fusion for Moving Object Detection and Tracking,India,India,India,20.59368400,78.96288000,edu,

+e8d1d2a61c5a259440ef9fcd301093b43e87efa1,Periocular Biometrics in the Visible Spectrum,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e81f0966f04b8755541aedb5de05e40c9e5c95da,A statistically selected part-based probabilistic model for object recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+e8d2d991dcfb12b287ab06d282a86802e565780c,Inducing Behavior Change in Children with Autism Spectrum Disorders by Monitoring their Attention,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System Ms .,India,India,India,20.59368400,78.96288000,edu,

+e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System Ms .,India,India,India,20.59368400,78.96288000,edu,

 e82360682c4da11f136f3fccb73a31d7fd195694,Face Recognition with Application to Proactive Augmented Reality,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+e849b9b3e65130712e23afb872ac925e1e9a6b73,"Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 e871849efe8eb5b1b28a92569a02476831791e2a,Nyström Approximations for Scalable Face Recognition: A Comparative Study,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu,

 e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7,Toward End-to-End Face Recognition Through Alignment Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7,Toward End-to-End Face Recognition Through Alignment Learning,China,China,China,35.86166000,104.19539700,edu,

 e8875b317c2e0ed6fba0c908d599b3772a400bdd,Non-rigid 3D Shape Registration using an Adaptive Template,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

-e8b6d398f6d5e31845b11257e2177e2b94b0ad52,Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+e8b6d398f6d5e31845b11257e2177e2b94b0ad52,Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 e87ea5fa265eadb7f68f8f06beabfb056e06579a,Improving Fully Convolution Network for Semantic Segmentation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+e819d8ec94ff9b07f81bcfcf6eb66301aa271805,OPTIMISED BLURRED OBJECT TRACKING USING ANFIS,India,India,India,20.59368400,78.96288000,edu,

 e8b3a257a0a44d2859862cdec91c8841dc69144d,Liquid Pouring Monitoring via Rich Sensory Inputs,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 e8b3a257a0a44d2859862cdec91c8841dc69144d,Liquid Pouring Monitoring via Rich Sensory Inputs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 e8a1634270cc6f3fda88c995408117f2376d2a9c,Single-frame image super-resolution inspired by perceptual criteria,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -4480,9 +5478,13 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto
 e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Factors to Musical Genre Classification,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Factors to Musical Genre Classification,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Factors to Musical Genre Classification,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+e8d1b134d48eb0928bc999923a4e092537e106f6,Weighted Multi-region Convolutional Neural Network for Action Recognition with Low-latency Online Prediction,China,China,China,35.86166000,104.19539700,edu,

+e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836,"Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2a4bbee0b4cf52d5aadbbc662164f7efba89566c,Pedestrian Attribute Recognition At Far Distance,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 2a869bc7c1488023c6e791e9c9071badfbad749d,NUS-WIDE: a real-world web image database from National University of Singapore,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 2a869bc7c1488023c6e791e9c9071badfbad749d,NUS-WIDE: a real-world web image database from National University of Singapore,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+2ad0ee93d029e790ebb50574f403a09854b65b7e,Acquiring linear subspaces for face recognition under variable lighting,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -4496,21 +5498,26 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto
 2a88541448be2eb1b953ac2c0c54da240b47dd8a,Discrete Graph Hashing,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 2a88541448be2eb1b953ac2c0c54da240b47dd8a,Discrete Graph Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9,Enlarge the Training Set Based on Inter-Class Relationship for Face Recognition from One Image per Person,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

+2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9,Enlarge the Training Set Based on Inter-Class Relationship for Face Recognition from One Image per Person,China,China,China,35.86166000,104.19539700,edu,

 2ad7100498f3e4d00ec4424099b90fddb659e972,Another probabilistic method proposed to distinguish between fixations and saccades are Kalman filters,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 2ad7100498f3e4d00ec4424099b90fddb659e972,Another probabilistic method proposed to distinguish between fixations and saccades are Kalman filters,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 2a4117849c88d4728c33b1becaa9fb6ed7030725,Memory Bounded Deep Convolutional Networks.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

-2a4117849c88d4728c33b1becaa9fb6ed7030725,Memory Bounded Deep Convolutional Networks.,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2a4117849c88d4728c33b1becaa9fb6ed7030725,Memory Bounded Deep Convolutional Networks.,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 2a7b1257ec819688b46272024855c1858e031db6,Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 2a7b1257ec819688b46272024855c1858e031db6,Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 2a7b1257ec819688b46272024855c1858e031db6,Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

+2abc43c86b206fcac256aed478a37a4003ada602,Kinship Verification with Deep Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 2abc43c86b206fcac256aed478a37a4003ada602,Kinship Verification with Deep Convolutional Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+2abc43c86b206fcac256aed478a37a4003ada602,Kinship Verification with Deep Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 2ad9e4596f38d58019a6f8073f238803f52a2773,Data-Driven 3D Primitives for Single Image Understanding,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,

 2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc,Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc,Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+2a6327a8bdbd31e2c08863b96c4f09245db8cab7,Targets ' facial width-to-height ratio biases pain judgments ☆,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu,

 2afde5e414aa94e20e2b30a5aa277ac36ca41d6a,Optimizing kd-trees for scalable visual descriptor indexing,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 2ade596b1a7966214e3acc53c757f88b9d0feb87,Facial recognition techniques applied to the automated registration of patients in the emergency treatment of head injuries.,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 2ab0ad4b8e439d54d69c40df158c06ef569deb27,Towards optimal training of cascaded detectors,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 2a051c1f2787690fa9fa916fd548b62ce571f778,Dense CNN Learning with Equivalent Mappings,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+2a051c1f2787690fa9fa916fd548b62ce571f778,Dense CNN Learning with Equivalent Mappings,China,China,China,35.86166000,104.19539700,edu,

 2ad0f376c0014e0c3000e7bb92df78d1d20d815a,The Ravel data set,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 2a3768ac4f6b3bfbcce4001c0c2fd35cfcc7679d,Face recognition with variation in pose angle using face graphs,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 2abae43b4a7fd85473bd6c906a0fcfc403968e87,Generating Natural Video Descriptions via Multimodal Processing,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,

@@ -4520,6 +5527,7 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto
 2a35d20b2c0a045ea84723f328321c18be6f555c,Boost Picking: A Universal Method on Converting Supervised Classification to Semi-supervised Classification,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu,

 2a35d20b2c0a045ea84723f328321c18be6f555c,Boost Picking: A Universal Method on Converting Supervised Classification to Semi-supervised Classification,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu,

 2a4fc35acaf09517e9c63821cadd428a84832416,Learning object class detectors from weakly annotated video,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+2a3227f54286d8a36736663781f194167f2b6582,Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2ac21d663c25d11cda48381fb204a37a47d2a574,Interpreting hand-over-face gestures,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 2a31169e3a0f87987537220b743bbf6e79c440e5,MULTI-VIEW FEATURE FUSION NETWORK FOR VEHICLE RE- IDENTIFICATION,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 2a75f34663a60ab1b04a0049ed1d14335129e908,Web-based database for facial expression analysis,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

@@ -4531,21 +5539,27 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto
 2a4153655ad1169d482e22c468d67f3bc2c49f12,Face Alignment Across Large Poses: A 3D Solution,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 2af620e17d0ed67d9ccbca624250989ce372e255,Meta-class features for large-scale object categorization on a budget,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 2a547bf34d185f80a0d476148721b6f05c276256,"Detection , Description and Tracking of Ants in Video Sequences",Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

-2a19346a02eaed55fdeb5271ff3316cb75261386,Local Decorrelation For Improved Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2a19346a02eaed55fdeb5271ff3316cb75261386,Local Decorrelation For Improved Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 2a3991ae72740f3661f98d2ad58a0595bbcd07ad,Human Re-identification by Matching Compositional Template with Cluster Sampling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

-2a3991ae72740f3661f98d2ad58a0595bbcd07ad,Human Re-identification by Matching Compositional Template with Cluster Sampling,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+2a3991ae72740f3661f98d2ad58a0595bbcd07ad,Human Re-identification by Matching Compositional Template with Cluster Sampling,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 2aa531b4aaf005db13ff93cc1bea7602d7fe2efb,Lidar-based Vehicle Localization in an Autonomous Valet Parking Scenario,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

+2a12c72b0328a23b0d7ea63db1f93abf3054beec,Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2a703e0ee535c65d1e819b2e784470fac844c6a8,User evaluation of lightweight user authentication with a single tri-axis accelerometer,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu,

 2aa2b312da1554a7f3e48f71f2fce7ade6d5bf40,Estimating Sheep Pain Level Using Facial Action Unit Detection,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 2af9ee8ee3ab4a89ae0098a1f9caa1aa9dad4e8a,2D and 3D Pose Recovery from a Single Uncalibrated Video,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 2a06b31e778bed978055cec7596bdf2690d13b49,Deformable part models revisited: A performance evaluation for object category pose estimation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 2a0cec7f0f8b63f182ea0c52cb935580acabafcc,UOUS AND DISCRETE ADDRESSING SCHEMES,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 2a31b4bf2a294b6e67956a6cd5ed6d875af548e0,Learning Affinity via Spatial Propagation Networks,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+2a40917ef436000b22bc7c6f35400440ef673d36,Learning clustered sub-spaces for sketch-based image retrieval,India,India,India,20.59368400,78.96288000,edu,

+2ac31bc7a4dd0256166208dcc8d5dfa99347117e,A Window-Based Classifier for Automatic Video-Based Reidentification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2a65d7d5336b377b7f5a98855767dd48fa516c0f,Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

+2a86bcdfb1d817ddb76ba202319f8267a36c0f62,PCL: Proposal Cluster Learning for Weakly Supervised Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2a08cab207fcdd333710294b3480ad25b743e8ca,Modèles acoustiques à structure temporelle renforcée pour la vérification du locuteur embarquée. (Reinforced temporal structure of acoustic models for speaker recognition),Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu,

 2a8d0125c8d27699ccd75c76bda774e065060709,A translational neuroscience framework for the development of socioemotional functioning in health and psychopathology.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 2a0623ae989f2236f5e1fe3db25ab708f5d02955,D Face Modelling for 2 D + 3 D Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 2a0623ae989f2236f5e1fe3db25ab708f5d02955,D Face Modelling for 2 D + 3 D Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2aa06417fd361832df384cf7c003ed1d3c5ee8df,Learning people detection models from few training samples,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 2aad85de05e8b9137558926678c94442371d37ec,Head Pose Estimation Using Sparse Representation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 2a7e02ebdb7622815dbce8cf227189e2c92d026c,Zero-Shot Object Detection by Hybrid Region Embedding,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

@@ -4561,6 +5575,8 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto
 2afdda6fb85732d830cea242c1ff84497cd5f3cb,Face image retrieval by using Haar features,Tamkang University,Tamkang University,"淡江大學, 151, 英專路, 中興里, 鬼仔坑, 淡水區, 新北市, 25137, 臺灣",25.17500615,121.45076751,edu,

 2ab8956fef9526741c1e68c94d9a9da74a87960c,Learning to Disambiguate by Asking Discriminative Questions,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 2ab8956fef9526741c1e68c94d9a9da74a87960c,Learning to Disambiguate by Asking Discriminative Questions,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

+ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

+ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 ce2fd44a8c43642b76f219fe32291c1b2644cb73,Human Pose Forecasting via Deep Markov Models,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 ced73382d686dee6232c313f014bc21ca7536db0,Detection of Tongue Protrusion Gestures from Video,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 ce0aa94c79f60c35073f434a7fd6987180f81527,Achieving Anonymity against Major Face Recognition Algorithms,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu,

@@ -4569,6 +5585,7 @@ cee66bd89d1e25355e78573220adcd017a2d97d8,Spatio-temporal human action localisati
 cee66bd89d1e25355e78573220adcd017a2d97d8,Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 ce049cdb0582ffd46d2b8725c30ce73e48e796ad,Tracking individuals in surveillance video of a high-density crowd,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,

 ce83369da319607fe2832485913b0f30c00920aa,Human Detection Based on Large Feature Sets Using Graphics Processing Units,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu,

+ce83369da319607fe2832485913b0f30c00920aa,Human Detection Based on Large Feature Sets Using Graphics Processing Units,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 ce450e4849490924488664b44769b4ca57f1bc1a,Procedural Generation of Videos to Train Deep Action Recognition Networks,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu,

 cefd9936e91885ba7af9364d50470f6cb54315a4,Expectation and surprise determine neural population responses in the ventral visual stream.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 cefd9936e91885ba7af9364d50470f6cb54315a4,Expectation and surprise determine neural population responses in the ventral visual stream.,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -4580,6 +5597,7 @@ ce56be1acffda599dec6cc2af2b35600488846c9,Inferring Sentiment from Web Images wit
 ce56be1acffda599dec6cc2af2b35600488846c9,Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach,IBM Almaden Research Center,IBM Almaden Research Center,"IBM Almaden Research Center, San José, Santa Clara County, California, USA",37.21095605,-121.80748668,company,

 ce9b24f272b15b37d69b61ec8ecb3210ca6047e7,Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

 ce9b24f272b15b37d69b61ec8ecb3210ca6047e7,Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

+ce85d953086294d989c09ae5c41af795d098d5b2,Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ce142b327974580b297fb84c2c1c799f838bdda5,VADRA: Visual Adversarial Domain Randomization and Augmentation,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,

 ce032dae834f383125cdd852e7c1bc793d4c3ba3,Motion Interchange Patterns for Action Recognition in Unconstrained Videos,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 ce032dae834f383125cdd852e7c1bc793d4c3ba3,Motion Interchange Patterns for Action Recognition in Unconstrained Videos,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

@@ -4599,8 +5617,13 @@ cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural
 cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+ceb02a8f874c84ece88fcc7be1530a581b1cd1b0,A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment,India,India,India,20.59368400,78.96288000,edu,

 ce6dbde2ad8b5b9aee2ccf4a7e33e63ccfc3689a,Overcoming Language Priors in Visual Question Answering with Adversarial Regularization,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 ce6d60b69eb95477596535227958109e07c61e1e,Unconstrained face verification using fisher vectors computed from frontalized faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+ce54dd2b0c6c75208ac77420233419066dd0117f,ISSN 2348-375 X EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH,India,India,India,20.59368400,78.96288000,edu,

+ce54dd2b0c6c75208ac77420233419066dd0117f,ISSN 2348-375 X EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH,India,India,India,20.59368400,78.96288000,edu,

+ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,China,China,China,35.86166000,104.19539700,edu,

+ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,China,China,China,35.86166000,104.19539700,edu,

 ceeb67bf53ffab1395c36f1141b516f893bada27,Face Alignment by Local Deep Descriptor Regression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 ceeb67bf53ffab1395c36f1141b516f893bada27,Face Alignment by Local Deep Descriptor Regression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 ceeb67bf53ffab1395c36f1141b516f893bada27,Face Alignment by Local Deep Descriptor Regression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -4612,6 +5635,9 @@ ce9e1dfa7705623bb67df3a91052062a0a0ca456,Deep Feature Interpolation for Image Co
 ce300b006f42c1b64ca0e53d1cf28d11a98ece8f,Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l 1-Norm Distances,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 fc7cd432db404e7724df7671d6e010109fe0c944,Pedestrian Detection Image Processing with FPGA A Major Qualifying Project Report,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 fc7cd432db404e7724df7671d6e010109fe0c944,Pedestrian Detection Image Processing with FPGA A Major Qualifying Project Report,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+fcc76b1762dbeb49cbfa30ca66bd405e015ca331,Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+fc6256156fbfdb21221c0aed2719f2b420e9d3b4,Pattern Recognition with Localized Gabor Wavelet Grids,"Subex Azure Limited, Bangalore, India","Subex Azure Limited, Bangalore, India","RMZ Ecoworld, Outer Ring Rd, Devarabisanahalli, Bengaluru, Karnataka 560103, India",12.92562000,77.68781300,edu,

+fc6256156fbfdb21221c0aed2719f2b420e9d3b4,Pattern Recognition with Localized Gabor Wavelet Grids,India,India,India,20.59368400,78.96288000,edu,

 fc5bdb98ff97581d7c1e5eb2d24d3f10714aa192,Initialization Strategies of Spatio-Temporal Convolutional Neural Networks,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 fc5a100c117cd7291d626f1ec3402bec235f2635,IQA: Visual Question Answering in Interactive Environments,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 fcbec158e6a4ace3d4311b26195482b8388f0ee9,Face Recognition from Still Images and Videos,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -4619,6 +5645,7 @@ fca9ebaa30d69ccec8bb577c31693c936c869e72,Look Across Elapse: Disentangled Repres
 fca9ebaa30d69ccec8bb577c31693c936c869e72,Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 fc063670d362a89232f18336081791897ea505eb,Face Recognition using Sparse Projection Axes,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 fc063670d362a89232f18336081791897ea505eb,Face Recognition using Sparse Projection Axes,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+fc063670d362a89232f18336081791897ea505eb,Face Recognition using Sparse Projection Axes,China,China,China,35.86166000,104.19539700,edu,

 fc450e42aa2a491ff0afda144718d4f73d4d89f2,An Analysis of Visual Question Answering Algorithms,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 fc8d33f351111ed43f56ba6809558d5227d4dcbe,Attention-Aware Compositional Network for Person Re-identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 fc8d33f351111ed43f56ba6809558d5227d4dcbe,Attention-Aware Compositional Network for Person Re-identification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -4628,10 +5655,13 @@ fc798314994bf94d1cde8d615ba4d5e61b6268b6,"Face Recognition : face in video , age
 fcc82154067dfe778423c2df4ed69f0bec6e1534,Automatic Analysis of Affect and Membership in Group Settings,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 fcc82154067dfe778423c2df4ed69f0bec6e1534,Automatic Analysis of Affect and Membership in Group Settings,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073,Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073,Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073,Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

-fc027fccb19512a439fc17181c34ee1c3aad51b5,Joint Multi-person Pose Estimation and Semantic Part Segmentation,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+fc027fccb19512a439fc17181c34ee1c3aad51b5,Joint Multi-person Pose Estimation and Semantic Part Segmentation,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 fcd9df8238605f70a54492fb0c6bdc9f29afda98,3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+fc64f43cdcf4898b15ddce8b441d2ab9daa324f0,GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 fcf91995dc4d9b0cee84bda5b5b0ce5b757740ac,Asymmetric Discrete Graph Hashing,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,

+fc18642d17785ef1853749b5323bf87adb329537,Exploring Prior Knowledge for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 fc18642d17785ef1853749b5323bf87adb329537,Exploring Prior Knowledge for Pedestrian Detection,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 fc2bad3544c7c8dc7cd182f54888baf99ed75e53,Efficient Retrieval for Large Scale Metric Learning,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 fc23a386c2189f221b25dbd0bb34fcd26ccf60fa,A Discriminative Latent Model of Object Classes and Attributes,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

@@ -4647,6 +5677,7 @@ fc68c5a3ab80d2d31e6fd4865a7ff2b4ab66ca9f,Evaluation Criteria for Affect-Annotate
 fc47b7b700915f078d4f1b42e5d5eafef1891db3,Hybrid Algorithm for the Optimization of Training Convolutional Neural Network,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 fc47b7b700915f078d4f1b42e5d5eafef1891db3,Hybrid Algorithm for the Optimization of Training Convolutional Neural Network,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 fc47b7b700915f078d4f1b42e5d5eafef1891db3,Hybrid Algorithm for the Optimization of Training Convolutional Neural Network,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

+fca6df7d36f449d48a8d1e48a78c860d52e3baf8,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 fcfb48b19f37e531a56ae95186a214b05c0b94c7,FACE RECOGNITION WITH EIGENFACES – A DETAILED STUDY,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu,

 fcff3baa6149f525b5675bd081a9337bec5ece41,N ov 2 01 8 A new approach for pedestrian density estimation using moving sensors and computer vision Sensing,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 fcff3baa6149f525b5675bd081a9337bec5ece41,N ov 2 01 8 A new approach for pedestrian density estimation using moving sensors and computer vision Sensing,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

@@ -4660,17 +5691,22 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimodal Language Understanding,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu,

 fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimodal Language Understanding,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,

 90b4470032f2796a347a0080bcd833c2db0e8bf0,Improving Image Clustering With Multiple Pretrained CNN Feature Extractors,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+9035e87ce49b67b751838c7346d36fe481260217,An Introduction to Random Forests for Multi-class Object Detection,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 9035e87ce49b67b751838c7346d36fe481260217,An Introduction to Random Forests for Multi-class Object Detection,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu,

+904b96d0691c62cacd1d9456e623ab24901763a0,Facade Segmentation in the Wild,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu,

 90d07df2d165b034e38ec04b3f6343d483f6cb38,Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 90d07df2d165b034e38ec04b3f6343d483f6cb38,Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 90d07df2d165b034e38ec04b3f6343d483f6cb38,Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9067f14f5708b3ca1c6a8194b2d550fdffb3c1bd,A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu,

+9067f14f5708b3ca1c6a8194b2d550fdffb3c1bd,A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost,China,China,China,35.86166000,104.19539700,edu,

 90b212c9fa764b77a228419fb97d4d091366007c,TRAFFIC LIGHT DETECTION USING CONIC SECTION GEOMETRY,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 90465149a7cb3f581697922f3c1b87de5be246cf,Interpolation-based Object Detection Using Motion Vectors for Embedded Real-time Tracking Systems,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 90298f9f80ebe03cb8b158fd724551ad711d4e71,A Pursuit of Temporal Accuracy in General Activity Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 907189aacae7bff389d6c6592d6e2586dab5168d,A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 907189aacae7bff389d6c6592d6e2586dab5168d,A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 9063a486b2e216ef5abfbb8c7503accd2becc5ea,Two-Stream Multi-Task Network for Fashion Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+9063a486b2e216ef5abfbb8c7503accd2becc5ea,Two-Stream Multi-Task Network for Fashion Recognition,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

+9063a486b2e216ef5abfbb8c7503accd2becc5ea,Two-Stream Multi-Task Network for Fashion Recognition,China,China,China,35.86166000,104.19539700,edu,

 90ea3a35e946af97372c3f32a170b179fe8352aa,Discriminant Learning for Face Recognition by Juwei Lu,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 9019286143f89561509506c3164f36f0e7e3a364,DeepNav: Learning to Navigate Large Cities,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 9019286143f89561509506c3164f36f0e7e3a364,DeepNav: Learning to Navigate Large Cities,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -4686,11 +5722,15 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 90a46cf5ca0f13154864aeefe3e8e30e9fde754c,Learning Hierarchical Feature Representation in Depth Image,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 90a46cf5ca0f13154864aeefe3e8e30e9fde754c,Learning Hierarchical Feature Representation in Depth Image,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,

 908e5f0610254f4993018855f0710c24bf326d93,Swarm Optimization Algorithms for Face Recognition,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu,

+908e5f0610254f4993018855f0710c24bf326d93,Swarm Optimization Algorithms for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 90a4125974564a5ab6c2ce2ff685fc36e9cf0680,Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 90a4125974564a5ab6c2ce2ff685fc36e9cf0680,Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 90fbeb4c871d3916c2b428645a1e1482f05826e1,"Encode, Review, and Decode: Reviewer Module for Caption Generation",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,

+90863022d8593a70e574816e6a43f1fdab842e27,Two Dimensional Stochastic Configuration Networks for Image Data Analytics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 90dd2a53236b058c79763459b9d8a7ba5e58c4f1,Capturing Correlations Among Facial Parts for Facial Expression Analysis,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 90fcf4d23f490fe9ad38328b92a3a24a03115918,Towards Topological-Transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 90eb833df9614da495712f4c1fbb65f8e7d9b356,Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

 900207b3bc3a4e5244cae9838643a9685a84fee0,Reconstructing Geometry from Its Latent Structures,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu,

 9078307c58d74ed6aab70363a5addc054db7fd1d,A Maternal Influence on Reading the Mind in the Eyes Mediated by Executive Function: Differential Parental Influences on Full and Half-Siblings,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

@@ -4700,23 +5740,37 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 905ba09d4db4f5e150457599553610fc2cb7e105,Efficient Pose and Cell Segmentation using Column Generation,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 900bdd3fc700ebf9417c58df15a05eed8c52a90d,Comparative Deep Learning of Hybrid Representations for Image Recommendations,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 90fbcea84f621ee5d73482c5cb02479778aecccd,Pose-Invariant Face Recognition via RGB-D Images,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

+90fbcea84f621ee5d73482c5cb02479778aecccd,Pose-Invariant Face Recognition via RGB-D Images,China,China,China,35.86166000,104.19539700,edu,

 90fbcea84f621ee5d73482c5cb02479778aecccd,Pose-Invariant Face Recognition via RGB-D Images,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

+903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Bell Labs, Cambridge, UK","Bell Labs, Cambridge, UK","Cambridge, UK",52.20533700,0.12181700,edu,

 908a899c716d63bd327dee4a72061db5674bdc92,Experiments with Face Recognition Using a Novel Approach Based on CVQ Technique,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 90621c2f4390d5fe75d16ec0ca1fa4eb190904b3,Exploiting Texture Cues for Clothing Parsing in Fashion Images,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+90621c2f4390d5fe75d16ec0ca1fa4eb190904b3,Exploiting Texture Cues for Clothing Parsing in Fashion Images,Staqu Technologies,Staqu Technologies,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India",28.48127500,77.10044670,edu,

+90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,India,India,India,20.59368400,78.96288000,edu,

+90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,India,India,India,20.59368400,78.96288000,edu,

+90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,India,India,India,20.59368400,78.96288000,edu,

 90943f17cb224c287d1bf117441781d43d2f9b49,Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 904949e9bf204c275ce366237ec1d3ebcf864a1a,Generating captions without looking beyond objects.,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,

 90918dfd9d754e1cd07ed6acafec9001a4685ce5,Human detection using partial least squares analysis,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 9004a833c65b89c88d2f50835dc47f2319a2c3d5,Augmented Attribute Representations,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a,Unsupervised construction of human body models Action editor :,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu,

 90f0e0701b755bbce89cb0e4e3f0a070d49814a0,Beyond the retina: Evidence for a face inversion effect in the environmental frame of reference,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+90282cd8e122e102124b765ecbb22025a238f249,Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 90282cd8e122e102124b765ecbb22025a238f249,Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 9039b8097a78f460db9718bc961fdc7d89784092,3D Face Recognition Based on Local Shape Patterns and Sparse Representation Classifier,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 90ad0daa279c3e30b360f9fe9371293d68f4cebf,SPATIO-TEMPORAL FRAMEWORK AND ALGORITHMS FOR VIDEO-BASED FACE RECOGNITION,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 90c4f15f1203a3a8a5bf307f8641ba54172ead30,A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,China,China,China,35.86166000,104.19539700,edu,

 3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,China,China,China,35.86166000,104.19539700,edu,

+36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958,RGB-D Face Recognition With Texture and Attribute Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3634b4dd263c0f330245c086ce646c9bb748cd6b,Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

 36d18202745ec9abb70d8f7e6a4f28a55871e657,Pairwise Body-Part Attention for Recognizing Human-Object Interactions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+36d18202745ec9abb70d8f7e6a4f28a55871e657,Pairwise Body-Part Attention for Recognizing Human-Object Interactions,China,China,China,35.86166000,104.19539700,edu,

 364c79d2d98819b27641c651cf6553142ef747bf,Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 36c2715522c3df4237d8e034dfe49d67eafd6382,"Scene Graph Generation from Objects, Phrases and Region Captions",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 36c2715522c3df4237d8e034dfe49d67eafd6382,"Scene Graph Generation from Objects, Phrases and Region Captions",University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -4726,6 +5780,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 3661a34f302883c759b9fa2ce03de0c7173d2bb2,Peak-Piloted Deep Network for Facial Expression Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 3661a34f302883c759b9fa2ce03de0c7173d2bb2,Peak-Piloted Deep Network for Facial Expression Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 36231ced34602aea79cb19ee3e532cd568570e80,Chapter XVII Lip Motion Features for Biometric Person Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu,

+36231ced34602aea79cb19ee3e532cd568570e80,Chapter XVII Lip Motion Features for Biometric Person Recognition,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

+36e25994cfeab3dc487f9a82139c08f26cebf92f,Annealed Generative Adversarial Networks,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+36e25994cfeab3dc487f9a82139c08f26cebf92f,Annealed Generative Adversarial Networks,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 36e25994cfeab3dc487f9a82139c08f26cebf92f,Annealed Generative Adversarial Networks,"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,

 360bb1bafa00dd1fa90a89766f5ef75061cfde75,Common-near-neighbor analysis for person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 360bb1bafa00dd1fa90a89766f5ef75061cfde75,Common-near-neighbor analysis for person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

@@ -4733,6 +5790,7 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 36c473fc0bf3cee5fdd49a13cf122de8be736977,Temporal Segment Networks: Towards Good Practices for Deep Action Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 3686c59fac958de0b3911d5b08213994836ee96e,Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 3686c59fac958de0b3911d5b08213994836ee96e,Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+36d487129fd0b828255e417e0d10cf13d7f525cf,Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders.,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 36d487129fd0b828255e417e0d10cf13d7f525cf,Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 3676c29babe1563ee64a1149d2ae2f9f1369fe25,Visual saliency computation for image analysis,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 3676c29babe1563ee64a1149d2ae2f9f1369fe25,Visual saliency computation for image analysis,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

@@ -4755,15 +5813,16 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 361164861d8e4676079219f6d099358a31fc4025,Multiple Hypothesis Tracking Revisited,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 36a0961cc64c4d3033aec820073d50c6470caa41,Indexing Methods for Efficient Multiclass Recognition Indexing Methods for Efficient Multiclass Recognition Indexing Methods for Efficient Multiclass Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 360f97f6cdbbac3912e2a531c7a9c1542d7ad9eb,LS 3 D : Single-View Gestalt 3 D Surface Reconstruction from Manhattan Line Segments,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 364f357d4894aa004e442a5a92896a9b14a46862,Recovering 3-D Shape and Reflectance From a Small Number of Photographs,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 367a786cfe930455cd3f6bd2492c304d38f6f488,A Training Assistant Tool for the Automated Visual Inspection System,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 36fd702e5686f91b7e45434f8e2f6ef51feb2d54,Kernel-PCA Analysis of Surface Normals for Shape-from-Shading,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,

 36d858eb19bba43244b92f7faabfce47b13f2403,Materialization optimizations for feature selection workloads,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 36d858eb19bba43244b92f7faabfce47b13f2403,Materialization optimizations for feature selection workloads,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+36c91b1342c1357877e89b4c43f8eadb39755c0b,Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 361c9ba853c7d69058ddc0f32cdbe94fbc2166d5,Deep Reinforcement Learning of Video Games,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 361c9ba853c7d69058ddc0f32cdbe94fbc2166d5,Deep Reinforcement Learning of Video Games,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 3615bbdd4fe81acd9e5d166af731b5556b19a2cd,Efficient object localization using Convolutional Networks,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

@@ -4775,16 +5834,20 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 36631dcbb9452ea3d35b19b2de6ef709022531a6,"TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 36c948efd76f58ff1a5e42a2b69fbdc04913f7c4,A Review on Image Texture Analysis Methods,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 36ddf5d08ce753fe00efc844be3769f09dda9f91,Towards incremental and large scale face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+36ddf5d08ce753fe00efc844be3769f09dda9f91,Towards incremental and large scale face recognition,China,China,China,35.86166000,104.19539700,edu,

 36c2db5ff76864d289781f93cbb3e6351f11984c,One colored image based 2.5D human face reconstruction,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

 36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49,Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 367f2668b215e32aff9d5122ce1f1207c20336c8,Speaker-Dependent Human Emotion Recognition in Unimodal and Bimodal Scenarios,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu,

 367f2668b215e32aff9d5122ce1f1207c20336c8,Speaker-Dependent Human Emotion Recognition in Unimodal and Bimodal Scenarios,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu,

 361aa2cfbc51ece34be511986205095363db94c5,Automatic landmark detection and face recognition for side-view face images,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+360a590703542f2ba345b432416398b6dad9e3fb,Multimodal Person Reidentification Using RGB-D Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 36a95f1a9fbe518427bbf33293488c71161313a9,Multi-Context Label Embedding,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 363cb83220451baa9f785a1fa738e41178e015c7,SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+363cb83220451baa9f785a1fa738e41178e015c7,SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 36702fbc5195a6bafc0aa62aaa2b084f80e59785,Context-Aware Pedestrian Motion Prediction In Urban Intersections,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 3605647befd040a819f00b1539a6e3cc5ffb53b8,Vision-based bicyclist detection and tracking for intelligent vehicles,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 3605647befd040a819f00b1539a6e3cc5ffb53b8,Vision-based bicyclist detection and tracking for intelligent vehicles,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,

+36b27f74b9a7fe12cf6593cc8b73e764efce7dda,A Face ’ s Parent / Offspring Determination using Geometric Features and PCA : A Novel Approach,India,India,India,20.59368400,78.96288000,edu,

 365117e2e47b83ec70014058de13d167619094ad,Adaptive Object Detection Using Adjacency and Zoom Prediction,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 365117e2e47b83ec70014058de13d167619094ad,Adaptive Object Detection Using Adjacency and Zoom Prediction,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 365117e2e47b83ec70014058de13d167619094ad,Adaptive Object Detection Using Adjacency and Zoom Prediction,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -4798,22 +5861,27 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586,Figure-Ground Organization Based on 3 D Symmetry,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586,Figure-Ground Organization Based on 3 D Symmetry,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 739e67fe178d1f96419846b34d6b2a90e6f7d3c1,A Pursuit Method for Video Annotation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

-738fadaf40249146f33da5b9efbb72a1fdf8767d,Unsupervised Learning of Invariant Representations in Hierarchical Architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+738fadaf40249146f33da5b9efbb72a1fdf8767d,Unsupervised Learning of Invariant Representations in Hierarchical Architectures,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 739d400cb6fb730b894182b29171faaae79e3f01,A New Regularized Orthogonal Local Fisher Discriminant Analysis for Image Feature Extraction,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 7348ef42b65f308faff0c2cce10d366dfb3ff35e,INARY P ATTERNS FOR F ACE A UTHENTICATION,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 735418826055951ba8660bb008d92bfe6910330e,An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 73d15a975b0595e0cc2e0981a9396a89c474dc7e,Gender Effect on Face Recognition for a Large Longitudinal Database,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu,

 7397a8ab5cdfed63171d248f664eda919a9b51f4,Learning for Active 3D Mapping,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,China,China,China,35.86166000,104.19539700,edu,

 73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,China,China,China,35.86166000,104.19539700,edu,

 73fd7e74457e0606704c5c3d3462549f1b2de1ad,Learning Predictable and Discriminative Attributes for Visual Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 7372c1e9cb87dad88bc160536263e461bb7ab04c,Trajectory energy minimization for cell growth tracking and genealogy analysis,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b,Image Crowd Counting Using Convolutional Neural Network and Markov Random Field,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

 737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b,Image Crowd Counting Using Convolutional Neural Network and Markov Random Field,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

 73b90573d272887a6d835ace89bfaf717747c59b,Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

+73764fa9bed84ad2c932dc8089ace7fa8fa7c1d3,"Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 73ea06787925157df519a15ee01cc3dc1982a7e0,Fast Face Image Synthesis with Minimal Training,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+7323b594d3a8508f809e276aa2d224c4e7ec5a80,An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7337e138e5ad5cbc40e4c7f99801ed7c096776a2,Implicit Diversity in Image Summarization,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 738a985fba44f9f5acd516e07d0d9578f2ffaa4e,MACHINE LEARNING TECHNIQUES FOR FACE ANALYSIS,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+735c38361d77e707ac48f0d040493c65ca559d3c,Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques),Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company,

 73f1d09b56a23ad72da1373f062ae902547e2580,Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 73f1d09b56a23ad72da1373f062ae902547e2580,Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu,

 73f1d09b56a23ad72da1373f062ae902547e2580,Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -4827,6 +5895,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 732e4016225280b485c557a119ec50cffb8fee98,Are all training examples equally valuable?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 732e4016225280b485c557a119ec50cffb8fee98,Are all training examples equally valuable?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 7363cc7e0c5b43ec12ba47bca587a325f719398a,Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+735be89c989ab7819e2f640960a8895e79913e21,A Video-Based Door Monitoring System Using Local Appearance-Based Face Models,India,India,India,20.59368400,78.96288000,edu,

+735be89c989ab7819e2f640960a8895e79913e21,A Video-Based Door Monitoring System Using Local Appearance-Based Face Models,India,India,India,20.59368400,78.96288000,edu,

+73fa81d2b01c81c6ede71d046f9101440884e604,Fuzzy Based Texton Binary Shape Matrix ( FTBSM ) for Texture Classification,India,India,India,20.59368400,78.96288000,edu,

 73e4076a532ec6a0633aed5cf6009414cdaf1f6a,Illumination normalization using self-lighting ratios for 3d2d face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 7358fe63042e186c03df0fb2d5f933eda94cb36a,It Takes Two to Tango: Towards Theory of AI's Mind,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 73298c5610004a8337baeb79f33c1519c0ba59e4,Computing Egomotion with Local Loop Closures for Egocentric Videos,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -4837,6 +5908,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 3ebbacf0bfe95781e70ee37085bb2addf30a40a7,Scalable Vision System for Mouse Homecage Ethology,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 3e3a87eb24628ab075a3d2bde3abfd185591aa4c,Effects of sparseness and randomness of pairwise distance matrix on t-SNE results,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 3e0a1884448bfd7f416c6a45dfcdfc9f2e617268,Understanding and Controlling User Linkability in Decentralized Learning,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+3e00dd86c084d8680409c65c1a48f1b3aa864eb7,Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming 1,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming 1,China,China,China,35.86166000,104.19539700,edu,

 3ec653164169c1a1b5c12ece2130326606a24e6c,A Phase Discrepancy Analysis of Object Motion,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 3ec653164169c1a1b5c12ece2130326606a24e6c,A Phase Discrepancy Analysis of Object Motion,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3ec653164169c1a1b5c12ece2130326606a24e6c,A Phase Discrepancy Analysis of Object Motion,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -4845,20 +5919,24 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 3e90a70d768415e28fbf0dd56e53f8933784c416,Highly Efficient Regression for Scalable Person Re-Identification,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 3ea0bc7cd58d4214d4ed20e8acfa76054f73654d,Recycled linear classifiers for multiclass classification,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 3e682d368422ff31632760611039372a07eeabc6,Articulated Multi-person Tracking in the Wild,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+3e6fa6cf1fe2e23fdf7716f89b160333c7a93b26,A Performance Evaluation of Single and Multi-feature People Detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 3eb5f1d466228c1345d92f906ab31ab93c160837,Single-Pedestrian Detection Aided by Multi-pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 3eb5f1d466228c1345d92f906ab31ab93c160837,Single-Pedestrian Detection Aided by Multi-pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3e421fd1775413bf89abd8e39a35e5e29d1a4dab,Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

-3e421fd1775413bf89abd8e39a35e5e29d1a4dab,Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3e421fd1775413bf89abd8e39a35e5e29d1a4dab,Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 3e4bd67a10e291ad6d5614a6e97efb69b2dd051a,Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

 3ec04a3536007433451a428e090d099c8b2a6add,Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

+3e51988542ced911184bce400a2a4af0b044396b,Face recognition system based on principal components analysis and distance measures,India,India,India,20.59368400,78.96288000,edu,

 3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a,Generative Partition Networks for Multi-Person Pose Estimation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a,Generative Partition Networks for Multi-Person Pose Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a,Generative Partition Networks for Multi-Person Pose Estimation,China,China,China,35.86166000,104.19539700,edu,

 3e98719cc0b570c7a0c7c903efb010075dd267e7,Real Time Person Tracking and Behavior Interpretation in Multi Camera Scenarios Applying Homography and Coupled HMMs,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 3e40991ab1daa2a4906eb85a5d6a01a958b6e674,LipNet: End-to-End Sentence-level Lipreading,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 3eb298bfcc33f6e40bfd2e8788b13b256d2c0391,Towards Unified Human Parsing and Pose Estimation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 3eadf02a7ac57a2a0cc794180bf0b46b45a9e0a2,Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3eadf02a7ac57a2a0cc794180bf0b46b45a9e0a2,Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3eadf02a7ac57a2a0cc794180bf0b46b45a9e0a2,Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+3e73e1e6530c17244a1bb4e4fa071b4a86757a47,Shape Classification Based on Skeletons,China,China,China,35.86166000,104.19539700,edu,

 3ed60f021fe469f2423d04917e69864251d23e08,Metadata of the chapter that will be visualized in SpringerLink,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 3e16de062b9cdeecfcbda0de022f1fc4e741a2e6,Learning Visually-Grounded Semantics from Contrastive Adversarial Samples,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 3e16de062b9cdeecfcbda0de022f1fc4e741a2e6,Learning Visually-Grounded Semantics from Contrastive Adversarial Samples,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -4875,16 +5953,22 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 3ef997bf6306d157c062f0744ea0d8ce8f390e2a,Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 3ef997bf6306d157c062f0744ea0d8ce8f390e2a,Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 3e78402eab72d87eda1f0b44ca7ff54ba0b6b914,Hierarchical object groups for scene classification,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,India,India,India,20.59368400,78.96288000,edu,

+3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,India,India,India,20.59368400,78.96288000,edu,

+3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,India,India,India,20.59368400,78.96288000,edu,

 3ec77809aaa7bd30858a4274e3c28a2a0259b30c,Latent trees for estimating intensity of Facial Action Units,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,

 3ec77809aaa7bd30858a4274e3c28a2a0259b30c,Latent trees for estimating intensity of Facial Action Units,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 3ec77809aaa7bd30858a4274e3c28a2a0259b30c,Latent trees for estimating intensity of Facial Action Units,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,

 3efb04a9847284680b48214855eb0a962efa5c7b,De-identification for Privacy Protection in Surveillance Videos,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+3efb04a9847284680b48214855eb0a962efa5c7b,De-identification for Privacy Protection in Surveillance Videos,India,India,India,20.59368400,78.96288000,edu,

 3e2ec9cea926bd02072aa41bd81eb4c593e205e9,Adversarial Information Factorization,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,

 3e2ec9cea926bd02072aa41bd81eb4c593e205e9,Adversarial Information Factorization,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,

 3e2ec9cea926bd02072aa41bd81eb4c593e205e9,Adversarial Information Factorization,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,

 3eda9f9c29cec4f44e210d40b54810de525d75fb,"Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 3e03435792619833d4e2aa14344761b003c10c67,A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu,

 3e03435792619833d4e2aa14344761b003c10c67,A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+3ee425f59da3c8cb42bbfbc2c80122b767eece5e,A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

+3ee425f59da3c8cb42bbfbc2c80122b767eece5e,A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

 3e56cbce67d312af2b3a7d0981e9cb33d2236bea,Boosting attribute recognition with latent topics by matrix factorization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 3e56cbce67d312af2b3a7d0981e9cb33d2236bea,Boosting attribute recognition with latent topics by matrix factorization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 3e56cbce67d312af2b3a7d0981e9cb33d2236bea,Boosting attribute recognition with latent topics by matrix factorization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

@@ -4897,24 +5981,30 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 3e211a93388dcf29dda4cd6d3d515042f2cffee7,Breaking the Chain: Liberation from the Temporal Markov Assumption for Tracking Human Poses,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 3e42e336d67dad79ab6355c02f1f045f8a71a18f,Autism spectrum traits in normal individuals: a preliminary VBM analysis,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 3e42e336d67dad79ab6355c02f1f045f8a71a18f,Autism spectrum traits in normal individuals: a preliminary VBM analysis,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

+3eebe8a5adaa49e54ea909b4e2aeb436025c84d5,3 D Face Recognition Using Radon Transform and Symbolic Factorial Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu,

 0843ec2b76ef9401e60654fbfe71bac44ed19fae,A Two-Stage Approach for Bag Detection in Pedestrian Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 086131159999d79adf6b31c1e604b18809e70ba8,Deep Action Unit classification using a binned intensity loss and semantic context model,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu,

 086131159999d79adf6b31c1e604b18809e70ba8,Deep Action Unit classification using a binned intensity loss and semantic context model,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu,

 080d9658e40581c7ba8c0cc1d86d1157eda92a3e,Periocular biometric recognition using image sets,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 084bebc5c98872e9307cd8e7f571d39ef9c1b81e,A Discriminative Feature Learning Approach for Deep Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 084bebc5c98872e9307cd8e7f571d39ef9c1b81e,A Discriminative Feature Learning Approach for Deep Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+0871062654a6ddd18dba940009676aaa1230f879,Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN,India,India,India,20.59368400,78.96288000,edu,

 0871062654a6ddd18dba940009676aaa1230f879,Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+0871062654a6ddd18dba940009676aaa1230f879,Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN,India,India,India,20.59368400,78.96288000,edu,

 08a6cbbb6d3aba08fc6a1c238278243222eaa5a8,Chapter II Lip Feature Extraction and Feature Evaluation in the Context of Speech and Speaker Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu,

+08a6cbbb6d3aba08fc6a1c238278243222eaa5a8,Chapter II Lip Feature Extraction and Feature Evaluation in the Context of Speech and Speaker Recognition,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 08aaaf56277f7f9897353a6b09a63ea90b4cc554,Multimedia Information Networks in Social Media,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 08eaa845a72a2b78e08e58592d8785942fced649,What's in a Question: Using Visual Questions as a Form of Supervision,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,

 081189493ca339ca49b1913a12122af8bb431984,Supplemental Material for Photorealistic Facial Texture Inference Using Deep Neural Networks,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,

 084bd02d171e36458f108f07265386f22b34a1ae,Face Alignment at 3000 FPS via Regressing Local Binary Features,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

-084bd02d171e36458f108f07265386f22b34a1ae,Face Alignment at 3000 FPS via Regressing Local Binary Features,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+084bd02d171e36458f108f07265386f22b34a1ae,Face Alignment at 3000 FPS via Regressing Local Binary Features,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 08bc0dd59187eaf919dfedf1d5849d1a875835df,On-line Hough Forests,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 08bc0dd59187eaf919dfedf1d5849d1a875835df,On-line Hough Forests,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 0816b525b03e47d995b3d97f1f9132a4f7a2cf9d,Gaze-enabled egocentric video summarization via constrained submodular maximization,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 0816b525b03e47d995b3d97f1f9132a4f7a2cf9d,Gaze-enabled egocentric video summarization via constrained submodular maximization,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+0816b525b03e47d995b3d97f1f9132a4f7a2cf9d,Gaze-enabled egocentric video summarization via constrained submodular maximization,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 089b5e8eb549723020b908e8eb19479ba39812f5,A Cross Benchmark Assessment of a Deep Convolutional Neural Network for Face Recognition,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

+08ecc281cdf954e405524287ee5920e7c4fb597e,Computational Assessment of Facial Expression Production in ASD Children,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0862940a255d980d46ef041ab20f153276f96214,3D Object Representations for Fine-Grained Categorization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 0862940a255d980d46ef041ab20f153276f96214,3D Object Representations for Fine-Grained Categorization,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 085ceda1c65caf11762b3452f87660703f914782,Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -4931,12 +6021,15 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 08d6aecf1ee531f8c62c22a256b2c2e58081df9d,Blocks That Shout: Distinctive Parts for Scene Classification,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

 08d6aecf1ee531f8c62c22a256b2c2e58081df9d,Blocks That Shout: Distinctive Parts for Scene Classification,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 08d41d2f68a2bf0091dc373573ca379de9b16385,Recursive Chaining of Reversible Image-to-image Translators For Face Aging,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+08d41d2f68a2bf0091dc373573ca379de9b16385,Recursive Chaining of Reversible Image-to-image Translators For Face Aging,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 089513ca240c6d672c79a46fa94a92cde28bd567,RNN Fisher Vectors for Action Recognition and Image Annotation,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 089513ca240c6d672c79a46fa94a92cde28bd567,RNN Fisher Vectors for Action Recognition and Image Annotation,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

+08ca2a2a543ee74e2bd6585e0a059b30aae65d30,Semantic Video Segmentation with Using Ensemble of Particular Classifiers and a Deep Neural Network for Systems of Detecting Abnormal Situations,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 087002ab569e35432cdeb8e63b2c94f1abc53ea9,Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 087002ab569e35432cdeb8e63b2c94f1abc53ea9,Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 08e3a0f80f10fc40cc1c043cbc4c873a76a6f6e8,Enhanced Pavlovian aversive conditioning to positive emotional stimuli.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 08e3a0f80f10fc40cc1c043cbc4c873a76a6f6e8,Enhanced Pavlovian aversive conditioning to positive emotional stimuli.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

+08e3a0f80f10fc40cc1c043cbc4c873a76a6f6e8,Enhanced Pavlovian aversive conditioning to positive emotional stimuli.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 08cb294a08365e36dd7ed4167b1fd04f847651a9,Examining visible articulatory features in clear and conversational speech,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 08cb294a08365e36dd7ed4167b1fd04f847651a9,Examining visible articulatory features in clear and conversational speech,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 08e69a871487b52510699c07859b4aaec122d3df,Visual Coreference Resolution in Visual Dialog Using Neural Module Networks,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,

@@ -4956,9 +6049,10 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 084352b63e98d3b3310521fb3bda8cb4a77a0254,Part-based multiple-person tracking with partial occlusion handling,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 084352b63e98d3b3310521fb3bda8cb4a77a0254,Part-based multiple-person tracking with partial occlusion handling,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 08e995c080a566fe59884a527b72e13844b6f176,A New KSVM + KFD Model for Improved Classification and Face Recognition,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

+08d625158727bd97ba6fc58992158ee55a53011c,HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 08f6ad0a3e75b715852f825d12b6f28883f5ca05,Face recognition: Some challenges in forensics,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 08d2a558ea2deb117dd8066e864612bf2899905b,Person Re-identification with Deep Similarity-Guided Graph Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

-081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 08a98822739bb8e6b1388c266938e10eaa01d903,SensorSift: balancing sensor data privacy and utility in automated face understanding,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

@@ -4966,7 +6060,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 820e4727827646c79a9a5d862c510d26be5356f1,"Gaze Behaviour , Motivational Factors , and Knowledge Sharing Completed Research Paper",Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu,

 82d5e927c4f1429c07552bfc7bebd5f0e3f2f444,Histogram Sequence of Local Gabor Binary Pattern for Face Description and Identification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 82006f2cdf0929f804785ad176ef3f8e7fbbfd3c,Dynamic texture and scene classification by transferring deep image features,University of Oulu,University 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,

+82d9296eb2edc12f6cb830fba78d5bf9469a94b9,Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition,China,China,China,35.86166000,104.19539700,edu,

 82d9296eb2edc12f6cb830fba78d5bf9469a94b9,Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu,

+82d9296eb2edc12f6cb830fba78d5bf9469a94b9,Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition,China,China,China,35.86166000,104.19539700,edu,

 823db29d4c2a79e309ad2b394a4aaa83d9e15284,Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 823db29d4c2a79e309ad2b394a4aaa83d9e15284,Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 829ddf932d7164ebc915095a4a94471049825410,Towards Around-Device Interaction using Corneal Imaging,Coburg University,Coburg University,"Hochschule für angewandte Wissenschaften Coburg, 2, Friedrich-Streib-Straße, Callenberg, Coburg, Oberfranken, Bayern, 96450, Deutschland",50.26506145,10.95196483,edu,

@@ -4992,24 +6088,33 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 824d1db06e1c25f7681e46199fd02cb5fc343784,Representing Relative Visual Attributes with a Reference-Point-Based Decision Model,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 824d1db06e1c25f7681e46199fd02cb5fc343784,Representing Relative Visual Attributes with a Reference-Point-Based Decision Model,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 82f8652c2059187b944ce65e87bacb6b765521f6,Discriminative Object Categorization with External Semantic Knowledge,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+82088af865626e2340db12b2e42f3a258053d593,Learning Generative ConvNets via Multi-grid Modeling and Sampling,China,China,China,35.86166000,104.19539700,edu,

 82317f5ac40e982b8ec5b2634f1214db259ca325,Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 82317f5ac40e982b8ec5b2634f1214db259ca325,Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 828a7b3122ebd5b8b0c617902bc04ac5a6c60240,"Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner",National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 828a7b3122ebd5b8b0c617902bc04ac5a6c60240,"Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner",Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 82d446206a3e9afba7e5b8c112227df681ef422a,Super-resolution from internet-scale scene matching,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 82d446206a3e9afba7e5b8c112227df681ef422a,Super-resolution from internet-scale scene matching,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,India,India,India,20.59368400,78.96288000,edu,

+82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,India,India,India,20.59368400,78.96288000,edu,

 8233c1d79ddad9d969b995d4ef2c6f8ea9acc646,Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu,

 8233c1d79ddad9d969b995d4ef2c6f8ea9acc646,Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu,

+82b8a0c3e8f46ab0af5179a9d9a6b137405096d3,Generalized Low-Rank Approximations of Matrices Revisited,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+82485c89a6b48077b03b65a774fd5768ea768d4d,Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 823e57c126124254cf96c723fe1bace505271220,Dorsal Stream : From Algorithm To Neuroscience by Hueihan Jhuang,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 8241008f9d3d5e866f648eb454db2054202121ef,Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 8241008f9d3d5e866f648eb454db2054202121ef,Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 8241008f9d3d5e866f648eb454db2054202121ef,Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 82729f984c514bd0a5157c28b75ff0236d609384,Deep Feature Flow for Video Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

-82729f984c514bd0a5157c28b75ff0236d609384,Deep Feature Flow for Video Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+82729f984c514bd0a5157c28b75ff0236d609384,Deep Feature Flow for Video Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 8205d8ca2739f701c1e79490fb1daf4d1f0c356b,A CASE STUDY ON MULTI-MODAL BIOMETRIC EXPERTS IN THE CLOUD,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 8205d8ca2739f701c1e79490fb1daf4d1f0c356b,A CASE STUDY ON MULTI-MODAL BIOMETRIC EXPERTS IN THE CLOUD,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 826f1ac8ef16abd893062fdf5058a09881aed516,Identity-Preserving Face Recovery from Portraits,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 82766851c790a5225f3b932239e831e1b60f5ee7,Combining motion and appearance for gender classification from video sequences,University of Oulu,University 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,

+82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,India,India,India,20.59368400,78.96288000,edu,

+82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,India,India,India,20.59368400,78.96288000,edu,

+82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,India,India,India,20.59368400,78.96288000,edu,

+82224858677af47b8c836df701eeea8fffaec924,Paper On Person Identification System Using Multi-Model Biometric Based On Face,India,India,India,20.59368400,78.96288000,edu,

 82eb267b8e86be0b444e841b4b4ed4814b6f1942,Single Image 3D Interpreter Network,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 82eb267b8e86be0b444e841b4b4ed4814b6f1942,Single Image 3D Interpreter Network,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 828cfe547a2c9719dea68698dfa168b0bdd22aed,Max-margin transforms for visual domain adaptation,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

@@ -5038,6 +6143,7 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 61e65cb1391c11ccc4476a19853d616153e522bd,RECOGNITION FOR MEANINGFUL HUMAN-COMPUTER INTERACTION IN A SMART ENVIRONMENT,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu,

 61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa,Merging datasets through deep learning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

 61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa,Merging datasets through deep learning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

+61228ef559e4d73c8c726115f945f5f86d5638fb,Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 616b7093cfe6ec679f25d63f62c16e937227258f,Bayesian Multi-object Tracking Using Motion Context from Multiple Objects,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu,

 614a547cb976fae955e276feb2ccc9a33f1c7806,Classifier-asa-Service : Online Query of Cascades and Operating Points,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 6184ddbe780cb934f036b04dd1d28226b6bcbcce,Supervised hashing with kernels,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -5072,17 +6178,22 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo
 61acd4e07657094c2720bb60299dba0014ec89a6,Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 61acd4e07657094c2720bb60299dba0014ec89a6,Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,China,China,China,35.86166000,104.19539700,edu,

 616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,China,China,China,35.86166000,104.19539700,edu,

 6115445ca062b8f865f0b447c059813088b9dd49,A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada"

 61be9e8b1f2d642eb0b91a6097fe1c50c37a285c,Face Alignment Based on 3D Face Shape Model and Markov Random Field,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+61be9e8b1f2d642eb0b91a6097fe1c50c37a285c,Face Alignment Based on 3D Face Shape Model and Markov Random Field,China,China,China,35.86166000,104.19539700,edu,

 61f93ed515b3bfac822deed348d9e21d5dffe373,Deep Image Set Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 61f93ed515b3bfac822deed348d9e21d5dffe373,Deep Image Set Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 e7b2b0538731adaacb2255235e0a07d5ccf09189,Learning Deep Representations with Probabilistic Knowledge Transfer,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 e793f8644c94b81b7a0f89395937a7f8ad428a89,LPM for Action Recognition in Temporally Untrimmed Videos,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 e73696016b43314a7bef6015dacbe702af472d96,End-to-End Recovery of Human Shape and Pose,"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,

 e726dd07b6b4e5369f3b6031b36f01cd45cfd645,Online Spatio-temporal Structural Context Learning for Visual Tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+e726dd07b6b4e5369f3b6031b36f01cd45cfd645,Online Spatio-temporal Structural Context Learning for Visual Tracking,China,China,China,35.86166000,104.19539700,edu,

 e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55,Zero-Shot Detection,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 e7d840cf207802918e5b09af0a650b8f38f824a8,Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+e78042d77765c0fd3c09651b679e15ffd6b7e8a1,Optimized Projection for Sparse Representation Based Classification,China,China,China,35.86166000,104.19539700,edu,

 e78042d77765c0fd3c09651b679e15ffd6b7e8a1,Optimized Projection for Sparse Representation Based Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 e78042d77765c0fd3c09651b679e15ffd6b7e8a1,Optimized Projection for Sparse Representation Based Classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 e7397f7f0e83494825d63b75bdd40c3879f369cd,Open-world Person Re-Identification by Multi-Label Assignment Inference,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -5104,33 +6215,42 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in
 7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

-7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 7ba27dc104ce8d8ed2925f1e982d5d54c7db54af,Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 7bd837a934c6cd6ee858bdfd4ee0f8fa3663fed7,A Generic Model to Compose Vision Modules for Holistic Scene Understanding,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 7bd837a934c6cd6ee858bdfd4ee0f8fa3663fed7,A Generic Model to Compose Vision Modules for Holistic Scene Understanding,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 7b74b65983ae0abb09a540b6413a5a36b2df027a,Gated Transfer Network for Transfer Learning,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 7bc8d81a38899b60704681125ec4fc584a3e7ba4,Look me in the eyes: constraining gaze in the eye-region provokes abnormally high subcortical activation in autism,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

+7b6f0c4b22aee0cb4987cba9df121d4076fac5a5,On Learning 3D Face Morphable Model from In-the-wild Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7bcb505d93175d0b89ff7aca76caf579ddf12339,PixelNN: Example-based Image Synthesis,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,

 7b3231245a3d518085c8e747e2c2232963f49bc5,Tracking millions of humans in crowded space in crowded spaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 7b63ed54345d8c06523f6b03c41a09b5c8f227e2,Facial expression recognition based on combination of spatio-temporal and spectral features in local facial regions,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 7b0c88bc555e3ced093e5cecb5dc1996f42eeeec,Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu,

 7bfa04eb7ba2830a682a15206370abec49cffd2a,Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu,

+7b9ebcc8b9c05ef661182fe73438b7725584817d,Restoring effects of oxytocin on the attentional preference for faces in autism,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 7b43326477795a772c08aee750d3e433f00f20be,Computational Methods for Behavior Analysis,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 7b21db9efc3403fa054739921e29aedcc81b1fb1,Exploring Correlations in Multiple Facial Attributes through Graph Attention Network,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+7b21db9efc3403fa054739921e29aedcc81b1fb1,Exploring Correlations in Multiple Facial Attributes through Graph Attention Network,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 7b05abdb4a842106c1fe25019a5695982ac4b2e2,Unsupervised Single Image Dehazing Using Dark Channel Prior Loss.,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 7b05abdb4a842106c1fe25019a5695982ac4b2e2,Unsupervised Single Image Dehazing Using Dark Channel Prior Loss.,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

+7bdcd85efd1e3ce14b7934ff642b76f017419751,Learning Discriminant Face Descriptor,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d,Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,China,China,China,35.86166000,104.19539700,edu,

 7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 7be60f8c34a16f30735518d240a01972f3530e00,Facial expression recognition with temporal modeling of shapes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 7b4e0a98dcb4ba34afcc5901f51384ba727473a0,Introduction to Emotion Recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+7b4e0a98dcb4ba34afcc5901f51384ba727473a0,Introduction to Emotion Recognition,India,India,India,20.59368400,78.96288000,edu,

 7b45aa509184b05064eafb362f80ba5778566a4e,High-Level Interpretation of Urban Road Maps Fusing Deep Learning-Based Pixelwise Scene Segmentation and Digital Navigation Maps,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 7b8b1571639f901275da22ee8f1de852350bf38e,Improved Deep Learning of Object Category Using Pose Information,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,

 7bbf17225773aa811e015479ced7de72063c3839,Learning Single-Image Depth from Videos using Quality Assessment Networks,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 7bbf17225773aa811e015479ced7de72063c3839,Learning Single-Image Depth from Videos using Quality Assessment Networks,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 7bf04c79f2659a404c9b9b91e0375e1450c3adbe,Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+7bf04c79f2659a404c9b9b91e0375e1450c3adbe,Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 7be7c9dd3c2c116adfe7bee55544bc7874c16a5b,Visual-LiDAR Odometry Aided by Reduced IMU,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 7be7c9dd3c2c116adfe7bee55544bc7874c16a5b,Visual-LiDAR Odometry Aided by Reduced IMU,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

+7b331c80a91acf3616afd88e78801ac55c874f43,Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7ba4b47d3bc516194a71e6be6d59dfa91c80c09b,Biometric Recognition Using Three-Dimensional Ear Shape,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 7bc1318403cdb4895a4437993d288068a8e85f5f,Fast-Converging Conditional Generative Adversarial Networks for Image Synthesis,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 7b4d985d03ebf8465757877f0eeaea00fa77676b,Dyadic Dynamics: The Impact of Emotional Responses to Facial Expressions on the Perception of Power,University of Haifa,University of Haifa,"אוניברסיטת חיפה, חיפה, מחוז חיפה, ישראל",32.76162915,35.01986304,edu,

@@ -5152,7 +6272,7 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in
 6bdfd62ae9eb026dbc37f6f2db897fbee5cf8a5d,Randomised Manifold Forests for Principal Angle-Based Face Recognition,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 6b9e8acef979c13fa9ecc8fe9b635b312fedbcbe,Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data,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,

 6b6afc9557dc0670bf2792bde4c4389ac52c707f,What Action Causes This? Towards Naive Physical Action-Effect Prediction,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

-6b6afc9557dc0670bf2792bde4c4389ac52c707f,What Action Causes This? Towards Naive Physical Action-Effect Prediction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+6b6afc9557dc0670bf2792bde4c4389ac52c707f,What Action Causes This? Towards Naive Physical Action-Effect Prediction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 6b6866fbb4354e30ab34db9d6a8a07da4bf25777,Biometrics of next Generation: an Overview 1.1 Introduction,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 6b6866fbb4354e30ab34db9d6a8a07da4bf25777,Biometrics of next Generation: an Overview 1.1 Introduction,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 6b1f12995c88412607d8c36b3d5b0aa6a5cba7a3,Learning semantic attributes via a common latent space,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

@@ -5162,6 +6282,8 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in
 6b47b1c5a628ddb939d0088b36753ca29b3f9b76,Real-time Three-stage Eye Feature Extraction,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 6b47b1c5a628ddb939d0088b36753ca29b3f9b76,Real-time Three-stage Eye Feature Extraction,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 6b3e360b80268fda4e37ff39b7f303e3684e8719,FACE RECOGNITION FROM SKETCHES USING ADVANCED CORRELATION FILTERS USING HYBRID EIGENANALYSIS FOR FACE SYNTHESIS,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,

+6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6bcee7dba5ed67b3f9926d2ae49f9a54dee64643,Assessment of time dependency in face recognition: an initial study,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 6b011aa54aeabae8ac172a0cf0dd4333d1bfd327,Supervised Algorithm Selection for Flow and Other Computer Vision Problems,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 6baaca1b6de31ac2a5b1f89e9b3baa61e41d52f9,Deep Colorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

@@ -5172,6 +6294,8 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in
 6b68e3388ddecfcb0671dee6fba9a895aaf3d4e3,Fusing shape and appearance information for object category detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 6bca0d1f46b0f7546ad4846e89b6b842d538ee4e,Face Recognition from Surveillance-quality Video Face Recognition from Surveillance-quality Video,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6,Feature Extraction through Cross-Phase Congruency for Facial Expression Analysis,University of Oradea,University of Oradea,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu,

+6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6,Feature Extraction through Cross-Phase Congruency for Facial Expression Analysis,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6,Feature Extraction through Cross-Phase Congruency for Facial Expression Analysis,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3,DeepReID: Deep Filter Pairing Neural Network for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 6bd3a97eab2cf35050e722011fdf3e862a9158cb,TOWARDS FACE RECOGNITION AT A DISTANCE,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 6bd3a97eab2cf35050e722011fdf3e862a9158cb,TOWARDS FACE RECOGNITION AT A DISTANCE,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

@@ -5196,22 +6320,35 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in
 6bb51f431f348b2b3e1db859827e80f97a576c30,Irregular Convolutional Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 e4236c286787cc608ec42abba2e51eb36f108b14,Deep Word Embeddings for Visual Speech Recognition,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 e4691de78d35ed7085311a466b8d02198bf714ac,The relation between race-related implicit associations and scalp-recorded neural activity evoked by faces from different races.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

+e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc,Face Recognition with Independent Component Based Super-resolution,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 e4e3faa47bb567491eaeaebb2213bf0e1db989e1,Empirical Risk Minimization for Metric Learning Using Privileged Information,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

 e4e3faa47bb567491eaeaebb2213bf0e1db989e1,Empirical Risk Minimization for Metric Learning Using Privileged Information,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,India,India,India,20.59368400,78.96288000,edu,

+e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,India,India,India,20.59368400,78.96288000,edu,

 e43045a061421bd79713020bc36d2cf4653c044d,A New Representation of Skeleton Sequences for 3D Action Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 e48fb3ee27eef1e503d7ba07df8eb1524c47f4a6,Illumination invariant face recognition and impostor rejection using different MINACE filter algorithms,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,

+e4bce7dabefaff6069fc0773773c80dbc4865005,Evaluation of Face Recognition using Principle Component Analysis and Two Dimensional Component Analysis,India,India,India,20.59368400,78.96288000,edu,

 e4b88898d8ac1086e82ecc2fba82fb174bf9adaa,PacGAN: The power of two samples in generative adversarial networks,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,

+e4b9c14951cea6259dd9d522586ba2c5bb1fbcce,Social Image Captioning: Exploring Visual Attention and User Attention,China,China,China,35.86166000,104.19539700,edu,

+e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6,Quality Fusion Rule for Face Recognition in Video,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

+e472ab9005af1beb1e0d4a11d83e552c89b4cec2,"An Integrated Approach to Robust Human Face Detection for Complicated Facial Expressions , Angles and Illuminations",India,India,India,20.59368400,78.96288000,edu,

+e472ab9005af1beb1e0d4a11d83e552c89b4cec2,"An Integrated Approach to Robust Human Face Detection for Complicated Facial Expressions , Angles and Illuminations","SSN College of Engineering, Chennai, India","SSN College of Engineering, Chennai, India","Old Mahabalipuram Rd, Kalavakkam, Tamil Nadu 603110, India",12.75086510,80.19727020,edu,

 e4a6d0ce979c2067c6d0aec9e7a22113b8d3b7d7,Fine-grained Activity Recognition in Baseball Videos,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 e4bc529ced68fae154e125c72af5381b1185f34e,PERCEPTUAL GOAL SPECIFICATIONS FOR REINFORCEMENT LEARNING,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+e478c322de923337627487d8a688f5922b45b2ff,Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification,India,India,India,20.59368400,78.96288000,edu,

 e423501edc7a096522eb9596d6259e9ae93ce911,Identification of versions of the same musical composition by processing audio descriptions,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 e4183e539b90ac02f55ccf16eb154bc269576290,The Unusual Effectiveness of Averaging in GAN Training,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 e4183e539b90ac02f55ccf16eb154bc269576290,The Unusual Effectiveness of Averaging in GAN Training,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 e4183e539b90ac02f55ccf16eb154bc269576290,The Unusual Effectiveness of Averaging in GAN Training,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 e4444820fb3f6d1f41c6ea51c6b2ab8ceb04a3a5,View-Driven Deduplication with Active Learning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 e4cf6a559b4002b650dde376005a64b064963b19,Memory Based Online Learning of Deep Representations from Video Streams,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+e41e1e4d9e578c29bf648e7098c466935b50f1a9,A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation,Pennsylvania State University,Pennsylvania State University,,,,edu,

 e42998bbebddeeb4b2bedf5da23fa5c4efc976fa,Generic Active Appearance Models Revisited,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,

 e42998bbebddeeb4b2bedf5da23fa5c4efc976fa,Generic Active Appearance Models Revisited,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu,

 e42d055d59f6b5b0bf677975d21544aad26a5417,Learning to Appreciate the Aesthetic Effects of Clothing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -5221,11 +6358,16 @@ e405c59d9e13c4d72050535f00cd3696ac004740,Robust Estimation via Robust Gradient E
 e483f644eb20d79402bab1f5d96025598e101f82,Heterogeneous Multilayer Generalized Operational Perceptron,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 e483f644eb20d79402bab1f5d96025598e101f82,Heterogeneous Multilayer Generalized Operational Perceptron,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu,

 e4433daf01a4e55ffca764c1e161f83552db081f,Exposure Is Not Enough: Suppressing Stimuli from Awareness Can Abolish the Mere Exposure Effect,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

+e4bf70e818e507b54f7d94856fecc42cc9e0f73d,FACE RECOGNITION UNDER VARYING BLUR IN AN UNCONSTRAINED ENVIRONMENT,India,India,India,20.59368400,78.96288000,edu,

+e4bf70e818e507b54f7d94856fecc42cc9e0f73d,FACE RECOGNITION UNDER VARYING BLUR IN AN UNCONSTRAINED ENVIRONMENT,India,India,India,20.59368400,78.96288000,edu,

 e4cb27d2a3e1153cb517d97d61de48ff0483c988,Viktoria Plemakova Vehicle Detection Based on Convolutional Neural Networks,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu,

 e4df83b7424842ff5864c10fa55d38eae1c45fac,Locally Linear Discriminate Embedding for Face Recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

+e459158c2217904d5fe9a409896bd49622f17ebe,Face Video Retrieval via Deep Learning of Binary Hash Representations,China,China,China,35.86166000,104.19539700,edu,

 e459158c2217904d5fe9a409896bd49622f17ebe,Face Video Retrieval via Deep Learning of Binary Hash Representations,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 e459158c2217904d5fe9a409896bd49622f17ebe,Face Video Retrieval via Deep Learning of Binary Hash Representations,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe,Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation,India,India,India,20.59368400,78.96288000,edu,

 e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe,Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe,Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation,India,India,India,20.59368400,78.96288000,edu,

 ee89b903af1d8f26a8894a3773915c74f038883e,Half-CNN: A General Framework for Whole-Image Regression,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 ee89b903af1d8f26a8894a3773915c74f038883e,Half-CNN: A General Framework for Whole-Image Regression,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 ee0f87a93fee7a7dc8d13760464dbd6ce1526626,Constrained semi-supervised learning using attributes and comparative attributes,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,

@@ -5234,10 +6376,13 @@ eea248baa16162da661fbb9255e2cfcd5b9f0c05,Bachelor Project Image Captioning with
 ee3494604c97b2b84ea79d8c18d64ded48244dd6,3D Face Recognition in Biometrics,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu,

 ee815f60dc4a090fa9fcfba0135f4707af21420d,EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu,

 ee3d19879bec7b0b5b4131360be9951188b7ec60,Point Based Emotion Classification Using SVM,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+eea9994c71831219aacd537f5f4ab8a91110a7e2,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 ee098ed493af3abe873ce89354599e1f6bdf65be,Progressively Diffused Networks for Semantic Image Segmentation,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 ee098ed493af3abe873ce89354599e1f6bdf65be,Progressively Diffused Networks for Semantic Image Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 ee098ed493af3abe873ce89354599e1f6bdf65be,Progressively Diffused Networks for Semantic Image Segmentation,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 ee661eb1d6ebfdef0d0b0784529221c951cd1188,"3 D Human Sensing , Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism",Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

+eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,China,China,China,35.86166000,104.19539700,edu,

 ee42895807a375adec78c8221ecfcba01b0cb7ce,Deep TEN: Texture Encoding Network,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 eed7920682789a9afd0de4efd726cd9a706940c8,Computers to Help with Conversations : Affective Framework to Enhance Human Nonverbal Skills,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 eecd9a070ed333077a066bfdcf776c51c2c74406,Deep image representations using caption generators,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

@@ -5245,11 +6390,17 @@ ee6b503ab512a293e3088fdd7a1c893a77902acb,Automatic Name-Face Alignment to Enable
 ee6b503ab512a293e3088fdd7a1c893a77902acb,Automatic Name-Face Alignment to Enable Cross-Media News Retrieval,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 ee7c4f765e3743b324ee2d74f056a01f7e54320d,Weakly Supervised Salient Object Detection Using Image Labels,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 ee7c4f765e3743b324ee2d74f056a01f7e54320d,Weakly Supervised Salient Object Detection Using Image Labels,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

+eee69704bde40ab20090c19a21487f7ca5bcc674,On the Effect of Perspective Distortions in Face Recognition,Technical University of Munich,"Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany","Boltzmannstraße 3, 85748 Garching bei München, Germany",48.26301100,11.66685700,edu,

 ee8f04fdc9dc00f5ac24ddd8a894bf1807f44caf,Scene Classification Based on a Deep Random-Scale Stretched Convolutional Neural Network,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 eeb6d084f9906c53ec8da8c34583105ab5ab8284,12 Generation of Facial Expression Map using Supervised and Unsupervised Learning,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu,

 eeb6d084f9906c53ec8da8c34583105ab5ab8284,12 Generation of Facial Expression Map using Supervised and Unsupervised Learning,Akita University,Akita University,"秋田大学手形キャンパス, 秋田八郎潟線, 手形字扇田, 広面, 秋田市, 秋田県, 東北地方, 010-0864, 日本",39.72781420,140.13322566,edu,

+eef05b87f1a62bf658fc622427187eab4fb0f7a5,High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach,India,India,India,20.59368400,78.96288000,edu,

 eef05b87f1a62bf658fc622427187eab4fb0f7a5,High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

 eee2d2ac461f46734c8e674ae14ed87bbc8d45c6,Generalized Rank Pooling for Activity Recognition,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+ee53c9480132fc0d09b1192226cb2c460462fd6d,Channel Pruning for Accelerating Very Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu,

+ee8d2256ac99799677a5bd88bb1a12973bd245df,Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ee7093e91466b81d13f4d6933bcee48e4ee63a16,Discovering Person Identity via Large-Scale Observations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 ee7093e91466b81d13f4d6933bcee48e4ee63a16,Discovering Person Identity via Large-Scale Observations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 ee597ce2a63912b162d2a152c391d166fa1c4733,Batch-normalized recurrent highway networks,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

@@ -5276,7 +6427,10 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 78e9abfcee29491ffa53e7a988401ea06fbbe719,Deep Structured Learning for Visual Relationship Detection,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 78bcad8018467af3a6350714b70c91bd44f1181f,Considering Race a Problem of Transfer Learning,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,China,China,China,35.86166000,104.19539700,edu,

 78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,China,China,China,35.86166000,104.19539700,edu,

+78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,China,China,China,35.86166000,104.19539700,edu,

 7862f646d640cbf9f88e5ba94a7d642e2a552ec9,Being John Malkovich,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 78a7b042dfdc8c062a1ae9b4b93195b434e91aca,Face Recognition Using a Time-of-Flight Camera,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 780557daaa39a445b24c41f637d5fc9b216a0621,"Large Video Event Ontology Browsing, Search and Tagging (EventNet Demo)",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -5285,6 +6439,9 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 78bdba66b1a5fb19824be37c4f5c2d20e0e3b34f,2 . Dilated Residual Networks,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 786f2e480cb81c9df8d213ac156a5333946a2b8f,Violations of Personal Space by Individuals with Autism Spectrum Disorder,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 786f2e480cb81c9df8d213ac156a5333946a2b8f,Violations of Personal Space by Individuals with Autism Spectrum Disorder,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 78990bd69e12f7d123b6a0ce6b1674ea801f2319,Learning Joint Representations of Videos and Sentences with Web Image Search,University of Oulu,University 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,

 78f62042bfb3bb49ba10e142d118a9bb058b2a19,WebSeg: Learning Semantic Segmentation from Web Searches,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 7888a3dc1b9a7516f940f4a3f4316584e4f41b35,Effects of target typicality on categorical search.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

@@ -5302,6 +6459,7 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 784731961819abc5a5a199be1573abd828bd9af1,Recognizing Emily and Latisha: Inconsistent Effects of Name Stereotypicality on the Other-Race Effect,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu,

 78c1ad33772237bf138084220d1ffab800e1200d,Decorrelated Batch Normalization,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 78c1ad33772237bf138084220d1ffab800e1200d,Decorrelated Batch Normalization,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+78e00cfe5f0bd4bbb3d4111fa11de9e6dda17afc,Multimodal Task-Driven Dictionary Learning for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 78436256ff8f2e448b28e854ebec5e8d8306cf21,Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 78436256ff8f2e448b28e854ebec5e8d8306cf21,Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 78436256ff8f2e448b28e854ebec5e8d8306cf21,Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -5316,19 +6474,28 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 78bdaca41440f03b4d18a4caf9f0dace9afa08b0,The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 78bdaca41440f03b4d18a4caf9f0dace9afa08b0,The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 78102141a1b78101515f93385e7b71a4aa1955c5,An adaptation framework for head-pose classification in dynamic multi-view scenarios,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+78102141a1b78101515f93385e7b71a4aa1955c5,An adaptation framework for head-pose classification in dynamic multi-view scenarios,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 78102141a1b78101515f93385e7b71a4aa1955c5,An adaptation framework for head-pose classification in dynamic multi-view scenarios,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu,

 78174c2be084e67f48f3e8ea5cb6c9968615a42c,Periocular Recognition Using CNN Features Off-the-Shelf,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 787fe79e880ecb78ec6df797add20a8f93878b68,Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

+787303db8e707feee2fa2b93dfc46e3d3cc244cd,Defocus Blur Parameter Estimation Technique,India,India,India,20.59368400,78.96288000,edu,

 784ee59ea98a0878f1ba709f4385bffcdb4911d7,The iterative nature of person construal: Evidence from event-related potentials,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 784ee59ea98a0878f1ba709f4385bffcdb4911d7,The iterative nature of person construal: Evidence from event-related potentials,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 7869d8b9899226132d410ad6d409746bafe58f77,Biases Associated with Vulnerability to Bipolar Disorder,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu,

+78a85785150b2b80eca826ba9afc05005184a7c3,Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu,

 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,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,

 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,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,

 783bb44092f45573a9fbf47d023786105dde1d83,Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 782bec46053aa93ebbbf5d1d27497966b2407848,Scene-LSTM: A Model for Human Trajectory Prediction,"University of Colorado, Denver",University of Colorado Denver,"University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA",39.74287785,-105.00596398,edu,

+7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,India,India,India,20.59368400,78.96288000,edu,

+7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,India,India,India,20.59368400,78.96288000,edu,

+78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,China,China,China,35.86166000,104.19539700,edu,

+78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,China,China,China,35.86166000,104.19539700,edu,

 78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 78d645d5b426247e9c8f359694080186681f57db,Gender Classification by LUT Based Boosting of Overlapping Block Patterns,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 78d645d5b426247e9c8f359694080186681f57db,Gender Classification by LUT Based Boosting of Overlapping Block Patterns,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

@@ -5336,12 +6503,13 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 49e2c1bae80e6b75233348102dc44671ee52b548,Age and gender recognition using informative features of various types,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,China,China,China,35.86166000,104.19539700,edu,

 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,China,China,China,35.86166000,104.19539700,edu,

 49a2f3262958465c8cfd5a59bc0f9f4effd1936b,Global Semantic Consistency for Zero-Shot Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 49a2f3262958465c8cfd5a59bc0f9f4effd1936b,Global Semantic Consistency for Zero-Shot Learning,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 4934d44aa89b6d871eb6709dd1d1eebf16f3aaf1,A Deep Sum-Product Architecture for Robust Facial Attributes Analysis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -5353,15 +6521,18 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 4990824c5ff6c993e0697e272026438c4a05c3d5,INNOVATIVE SPARSE REPRESENTATION ALGORITHMS FOR ROBUST FACE RECOGNITION,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu,

 495fa8f7d9d0e4d472c49de34a9d17343668f4a4,Automatic Event Detection for Signal-based Surveillance,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 4931562044a691fe41b638550b54a0a689674e83,Incorporating On-demand Stereo for Real Time Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+4991dcef497ddd7ea115663985a9e0635494a95d,Detecting Group Activities With Multi-Camera Context,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4953da81a1a93ab3a30152d4403c5e8fa79edc09,Fast obstacle detection using targeted optical flow,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu,

 4953da81a1a93ab3a30152d4403c5e8fa79edc09,Fast obstacle detection using targeted optical flow,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu,

 4996e64c24cef33d0f7e5a2b1c3baf00e51493e6,Deep Relative Distance Learning: Tell the Difference between Similar Vehicles,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-4923c6bc3ab501651763f6814a8384745f3d9a4d,Visual attribute transfer through deep image analogy,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+4996e64c24cef33d0f7e5a2b1c3baf00e51493e6,Deep Relative Distance Learning: Tell the Difference between Similar Vehicles,China,China,China,35.86166000,104.19539700,edu,

+4923c6bc3ab501651763f6814a8384745f3d9a4d,Visual attribute transfer through deep image analogy,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 49ae4afe91239a8259dc0c390179d47bc395beda,Saliency Based Opportunistic Search for Object Part Extraction and Labeling,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 493f7f6db3160b3e011a96db8add618bcda39616,Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 4950ae0e837657b611113e219bf848f0c657dcf9,Efficient Unsupervised Learning for Localization and Detection in Object Categories,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 4950ae0e837657b611113e219bf848f0c657dcf9,Efficient Unsupervised Learning for Localization and Detection in Object Categories,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 49f70f707c2e030fe16059635df85c7625b5dc7e,Face recognition under illumination variations based on eight local directional patterns,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu,

+49b349021c958772926851ee7b704c8839977e28,Face Recognition by Using Distance Classifier Based On PCA and LDA,India,India,India,20.59368400,78.96288000,edu,

 4948c1791412cf13b770d922399c625527b51a6f,FACE RECOGNITION TECHNIQUES AND APPROACHES : A SURVEY,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 49f01ad8e60882d0f3c450345251b6c6b499c3a2,Cryptic Emotions and the Emergence of a Metatheory of Mind in Popular Filmmaking,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 497d46649af7dab664cdb9d47242df6dc06b1a48,Integral Channel Features,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -5388,18 +6559,26 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 49dcfbcb88139e4432cc0d3cfdd91af30f4d53dc,Multi-camera multi-object tracking by robust hough-based homography projections,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 499f2b005e960a145619305814a4e9aa6a1bba6a,Robust human face recognition based on locality preserving sparse over complete block approximation,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 49ac9738b551d0f8d9c64d5b6e8b08c69e3b0421,3D Pictorial Structures for Multiple View Articulated Pose Estimation,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

+49b3f6d8712c01f315686b6b8541eda8c5ee428a,Virtual friend or threat? The effects of facial expression and gaze interaction on psychophysiological responses and emotional experience.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 49e975a4c60d99bcc42c921d73f8d89ec7130916,Human and computer recognition of facial expressions of emotion,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 49ad27dd5bd9ca682e86bcaf3abf1cda2cd9de54,Neural Baby Talk,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 4960ab1cef23e5ccd60173725ea280f462164a0e,Video Object Segmentation by Learning Location-Sensitive Embeddings,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 4960ab1cef23e5ccd60173725ea280f462164a0e,Video Object Segmentation by Learning Location-Sensitive Embeddings,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+4960ab1cef23e5ccd60173725ea280f462164a0e,Video Object Segmentation by Learning Location-Sensitive Embeddings,China,China,China,35.86166000,104.19539700,edu,

 4910c4d7eea372034339f21141550f6d7cb28665,Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 4910c4d7eea372034339f21141550f6d7cb28665,Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+4910c4d7eea372034339f21141550f6d7cb28665,Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss,China,China,China,35.86166000,104.19539700,edu,

+4980511ea7ac286b7fff0456216425287bc9a083,Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph,China,China,China,35.86166000,104.19539700,edu,

+4980511ea7ac286b7fff0456216425287bc9a083,Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph,China,China,China,35.86166000,104.19539700,edu,

+49f22f29e57f5867b47348555136844ffa6c6603,Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 491efbf5590467157f35c8c75c49d44659429f62,Rotationally Invariant 3D Shape Contexts using Asymmetry Patterns,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 4946ba10a4d5a7d0a38372f23e6622bd347ae273,Describing Common Human Visual Actions in Images,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 49ecf784afddf7d5cf31c90340eef9380c261f04,FACSCaps : Pose-Independent Facial Action Coding with Capsules,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 49ecf784afddf7d5cf31c90340eef9380c261f04,FACSCaps : Pose-Independent Facial Action Coding with Capsules,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 23aef683f60cb8af239b0906c45d11dac352fb4e,Incorporating Context Information into Deep Neural Network Acoustic Models,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,

+23a8dc98eb38039f032d77a209751b25d3106c4b,Memory Efficient Max Flow for Multi-label Submodular MRFs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 232d99697a18c3065f2ba7c5f2d93d87731690f5,Robustifying eye center localization by head pose cues,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,

+236942bb64f1711b4763424b2f795fb518c9d8d4,Optimizing LBP Structure For Visual Recognition Using Binary Quadratic Programming,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 235d5620d05bb7710f5c4fa6fceead0eb670dec5,Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 23f6a42731ef46f06f0a11308197745edcb58f6c,Generic Object Recognition with Strangeness and Boosting Ph,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 23dd8d17ce09c22d367e4d62c1ccf507bcbc64da,Deep Density Clustering of Unconstrained Faces ( Supplementary Material ),University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -5407,7 +6586,7 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

-23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 23b48110cead14510ebb22dc388324466fd56c95,Robust Principal Component Analysis with Missing Data,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 23b48110cead14510ebb22dc388324466fd56c95,Robust Principal Component Analysis with Missing Data,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 234e3f821c31d0b5b7c59c3c013ad258fa6f5912,Attention Directs Emotion : Directed Attention Drives Emotional Intensity and Distinctiveness of Facial Perception,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu,

@@ -5418,19 +6597,25 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 231e545fdb1a516e29604fbd740e207b6f25c7dc,Perception of dynamic changes in facial affect and identity in autism.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 231e545fdb1a516e29604fbd740e207b6f25c7dc,Perception of dynamic changes in facial affect and identity in autism.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 231e545fdb1a516e29604fbd740e207b6f25c7dc,Perception of dynamic changes in facial affect and identity in autism.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+236a4f38f79a4dcc2183e99b568f472cf45d27f4,Randomized Clustering Forests for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2359c3f763e96e0ee62b1119c897a32ce9715a77,Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+237734e3fd3abab005b0b97d61416ee16105f902,Consensus Maximization for Semantic Region Correspondences,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 23339e409363a89cb5fe64e18e78a36286724de0,Semi-interactive tracing of persons in real-life surveillance data,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,

 23339e409363a89cb5fe64e18e78a36286724de0,Semi-interactive tracing of persons in real-life surveillance data,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,

 23bdd2d82068419bf4923e6a0198fc0fa4468807,Bird Species Categorization Using Pose Normalized Deep Convolutional Nets,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 23b80dc704e25cf52b5a14935002fc083ce9c317,Learning Generative Models via Discriminative Approaches,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+239c06cd437832faa55a8e7292c50e45229a3d7c,Generating analytic insights on human behavior using image processing,India,India,India,20.59368400,78.96288000,edu,

 233913367b5006277b04a8f7651f51425f13697e,Efficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation,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,

 231b769f2e13724754fa09e7e5ab7d4b843075a0,IOD-CNN: Integrating object detection networks for event recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",India,India,India,20.59368400,78.96288000,edu,

 23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

+23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",India,India,India,20.59368400,78.96288000,edu,

 23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 23c7465c16ea9343f74a400f92b970e84878b65a,Automatic classification of Chinese female facial beauty using Support Vector Machine,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 23000287004800912e3469772f3a2a48704dd303,Power SVM: Generalization with exemplar classification uncertainty,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 23000287004800912e3469772f3a2a48704dd303,Power SVM: Generalization with exemplar classification uncertainty,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,

 231a6d2ee1cc76f7e0c5912a530912f766e0b459,Shape Primitive Histogram: A Novel Low-Level Face Representation for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+23fa51635c646aa621bb18ff76f31d5e48ac969b,MFSC: A new shape descriptor with robustness to deformations,China,China,China,35.86166000,104.19539700,edu,

 23a59bfb96c4f543673e05b3cf6dc01b4173745b,ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 23a59bfb96c4f543673e05b3cf6dc01b4173745b,ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 23fc6c6e1cd52a77215a285a462840cbb96aec39,"Cortical patterns of category-selective activation for faces, places and objects in adults with autism.",New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

@@ -5449,12 +6634,19 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 23afec5c3edf6c65fc28d360a82820d34bbdc8a8,Confidence Preserving Machine for Facial Action Unit Detection,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 23e19cc9d2318b07eeaf8a9d34245131eb1a58be,Hierarchical Convolutional Deep Learning in Computer Vision by,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 2303d07d839e8b20f33d6e2ec78d1353cac256cf,Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

-232ff2dab49cb5a1dae1012fd7ba53382909ec18,Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+2303d07d839e8b20f33d6e2ec78d1353cac256cf,Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition,China,China,China,35.86166000,104.19539700,edu,

+238fc68b2e0ef9f5ec043d081451902573992a03,Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+232ff2dab49cb5a1dae1012fd7ba53382909ec18,Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,India,India,India,20.59368400,78.96288000,edu,

+23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,India,India,India,20.59368400,78.96288000,edu,

 23834ef411abf22da58d5bd1d9c1cb2896713f62,Learning Action Primitives for Multi-level Video Event Understanding,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 23834ef411abf22da58d5bd1d9c1cb2896713f62,Learning Action Primitives for Multi-level Video Event Understanding,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 23ce6f404c504592767b8bec7d844d87b462de71,A Deep Face Identification Network Enhanced by Facial Attributes Prediction,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 23b8a55785318ce90957a392607e24f620c4fccc,Bayesian Optimization with Inequality Constraints,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+23c9fe37fa0474967be4cc6c7a310dcc87b86b72,Spatial Feature Interdependence Matrix (SFIM): A Robust Descriptor for Face Recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

+2340a8fa6d90741c53e659cd1e7ca86ff900aa55,Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2328b0b5d4e9d4b78b1b9002407a533c21ff66f1,Evaluation of dimensionality reduction methods for image auto-annotation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+2328b0b5d4e9d4b78b1b9002407a533c21ff66f1,Evaluation of dimensionality reduction methods for image auto-annotation,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 23e6e8ab8f62d8f67525313c823e3cb4424ac578,Exploiting Convolution Filter Patterns for Transfer Learning,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 23e2b9d1ac20e114f48850ab32b3d9136bec6826,DeepSkeleton: Skeleton Map for 3D Human Pose Regression,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 23e2b9d1ac20e114f48850ab32b3d9136bec6826,DeepSkeleton: Skeleton Map for 3D Human Pose Regression,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

@@ -5474,6 +6666,7 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti
 23a450a075d752f1ec2b1e5e225de13d3bc37636,Subspace Learning in Krein Spaces: Complete Kernel Fisher Discriminant Analysis with Indefinite Kernels,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,

 2311d2488707655b79cf2b115e3c720bd4791918,Multi-Channel Pyramid Person Matching Network for Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 2311d2488707655b79cf2b115e3c720bd4791918,Multi-Channel Pyramid Person Matching Network for Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+2311d2488707655b79cf2b115e3c720bd4791918,Multi-Channel Pyramid Person Matching Network for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 f1368b0001e454381eafc35324740c928cb2ad1e,Automated audio captioning with recurrent neural networks,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 f187b0ed2224b2861442a73ad2966c1789afc09a,Zero-Shot Learning via Revealing Data Distribution,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 f187b0ed2224b2861442a73ad2966c1789afc09a,Zero-Shot Learning via Revealing Data Distribution,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

@@ -5490,11 +6683,22 @@ f147057dfe4bbb4f9499de432cb2393547f2f339,CNN-based Facial Affect Analysis on Mob
 f10ddad356ac9376e8c982f96cead7f6bdee3251,Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 f10ddad356ac9376e8c982f96cead7f6bdee3251,Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 f1b2212650d59d8c4ebcf25eec89987016c83678,BING++: A Fast High Quality Object Proposal Generator at 100fps,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+f1b2212650d59d8c4ebcf25eec89987016c83678,BING++: A Fast High Quality Object Proposal Generator at 100fps,China,China,China,35.86166000,104.19539700,edu,

+f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,India,India,India,20.59368400,78.96288000,edu,

+f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,India,India,India,20.59368400,78.96288000,edu,

 f1ac9370bdf4c408fdc242719cceb3eae19b9a16,Face recognition after plastic surgery: a comprehensive study,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f1ac9370bdf4c408fdc242719cceb3eae19b9a16,Face recognition after plastic surgery: a comprehensive study,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 f1a772608cae0d3189ad1293d5b7631435f02e44,Saliency-based Bayesian modeling of dynamic viewing of static scenes,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

+f1c76d97caa6f882764c1382c622a2dfb6aade43,CoreRank: Redeeming “Sick Silicon” by Dynamically Quantifying Core-Level Healthy Condition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,India,India,India,20.59368400,78.96288000,edu,

+f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,India,India,India,20.59368400,78.96288000,edu,

+f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,China,China,China,35.86166000,104.19539700,edu,

+f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,China,China,China,35.86166000,104.19539700,edu,

+f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,China,China,China,35.86166000,104.19539700,edu,

 f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,China,China,China,35.86166000,104.19539700,edu,

 f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,China,China,China,35.86166000,104.19539700,edu,

 f121154f0a7625fbb1613bd4cc2e705f9de8fd0c,Boosted Regression Active Shape Models,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53,Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses,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,

 f179f7888934b11dc5a2d8ff9205d1ca8b8a1599,Illuminant direction estimation for a single image based on local region complexity analysis and average gray value.,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

@@ -5512,7 +6716,13 @@ f153cbec29d86a58b5f15231fd14e7037a210682,Lost in the categorical shuffle: eviden
 f153cbec29d86a58b5f15231fd14e7037a210682,Lost in the categorical shuffle: evidence for the social non-prototypicality of black women.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 f106ff6b2dd497650e7e2096b24a23d620a2306b,Toward A Deep Understanding of What Makes a Scientific Visualization Memorable,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation,University of Tabriz,University of Tabriz,"دانشگاه تبریز, شهید ایرج خلوتی, کوی انقلاب, تبریز, بخش مرکزی, شهرستان تبریز, استان آذربایجان شرقی, 5166616471, ‏ایران‎",38.06125530,46.32984840,edu,

+f19527b2ceabf50831e78ac04161107c936efb2b,Discriminative Sparse Neighbor Approximation for Imbalanced Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,India,India,India,20.59368400,78.96288000,edu,

+56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu,

+56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,India,India,India,20.59368400,78.96288000,edu,

+56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,India,India,India,20.59368400,78.96288000,edu,

 569dbb5c8a84d3b378cb2e38bb86ad7d826c8d10,Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+56f5a94047966eac4b2f97ded4b50513f9a09951,Is the Kidney Donor Risk Index a Useful Tool in Non-US Patients?,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 56d162799d5e004723341492f776399693d76433,Learning Hypergraph-regularized Attribute Predictors,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

 56d162799d5e004723341492f776399693d76433,Learning Hypergraph-regularized Attribute Predictors,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 567078a51ea63b70396dca5dabb50a10a736d991,Conditional Generative Adversarial Network for Structured Domain Adaptation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

@@ -5532,7 +6742,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 569008018f0b9c4abb8b5c662a6710a1fc38b5a6,Face Similarity Space as Perceived by Humans and Artificial Systems,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,

 569008018f0b9c4abb8b5c662a6710a1fc38b5a6,Face Similarity Space as Perceived by Humans and Artificial Systems,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu,

+56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 562989741c0627b2f966d3abd5f87047503d0fb8,From Same Photo: Cheating on Visual Kinship Challenges,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 562989741c0627b2f966d3abd5f87047503d0fb8,From Same Photo: Cheating on Visual Kinship Challenges,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -5543,6 +6753,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu,

 56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu,

 56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu,

+56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 56d831143008ec10f8122e5086f5a55aec770ea1,A DIKW Paradigm to Cognitive Engineering,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu,

 56e25056153a15eae2a6b10c109f812d2b753cee,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 56e25056153a15eae2a6b10c109f812d2b753cee,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

@@ -5566,21 +6777,27 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 56c273538a2dbb4cf43c39fa4725592e97ec1681,Eye Tracking to Enhance Facial Recognition Algorithms,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 56c273538a2dbb4cf43c39fa4725592e97ec1681,Eye Tracking to Enhance Facial Recognition Algorithms,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 56c273538a2dbb4cf43c39fa4725592e97ec1681,Eye Tracking to Enhance Facial Recognition Algorithms,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

+56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,China,China,China,35.86166000,104.19539700,edu,

+56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,China,China,China,35.86166000,104.19539700,edu,

 561ae67de137e75e9642ab3512d3749b34484310,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 561ae67de137e75e9642ab3512d3749b34484310,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning.,Rheinische-Friedrich-Wilhelms University,Rheinische-Friedrich-Wilhelms University,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+56a653fea5c2a7e45246613049fb16b1d204fc96,Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 56ae6d94fc6097ec4ca861f0daa87941d1c10b70,Distance Estimation of an Unknown Person from a Portrait,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,India,India,India,20.59368400,78.96288000,edu,

+568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,India,India,India,20.59368400,78.96288000,edu,

 56c700693b63e3da3b985777da6d9256e2e0dc21,Global refinement of random forest,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

-56c700693b63e3da3b985777da6d9256e2e0dc21,Global refinement of random forest,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+56c700693b63e3da3b985777da6d9256e2e0dc21,Global refinement of random forest,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 56fcb57a328caf184c1634d934271b18b86b53e8,Multimodal Named Entity Recognition for Short Social Media Posts,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,

 5684d284310582ae0f69c5b7a4d6b791a13fcf49,Learning to Track at 100 FPS with Deep Regression Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 98b54eb04e531c34a20320e19b55f6721bd0d651,Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 982f5c625d6ad0dac25d7acbce4dabfb35dd7f23,Facial Expression Recognition by SVM-based Two-stage Classifier on Gabor Features,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu,

 98142103c311b67eeca12127aad9229d56b4a9ff,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 98142103c311b67eeca12127aad9229d56b4a9ff,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+98142103c311b67eeca12127aad9229d56b4a9ff,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 9805d810286c494ead550bb3dcd2e5270e7a59d7,From photography to microbiology: Eigenbiome models for skin appearance,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 9805d810286c494ead550bb3dcd2e5270e7a59d7,From photography to microbiology: Eigenbiome models for skin appearance,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 988aa2583c63ada43ca260dd8b5a4a543725a483,Choosing the Right Home Location Definition Method for the Given Dataset,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -5588,11 +6805,13 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 98bda8768fd4a384695ecc736876a87f51c4ca0e,Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond,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,

 980266ad6807531fea94252e8f2b771c20e173b3,Continuous Regression for Non-rigid Image Alignment,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 9899eb0ae24aa8c992244afe5f4455e9f96c1f18,"Characteristics of Brains in Autism Spectrum Disorder: Structure, Function and Connectivity across the Lifespan.",Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

+98a60b218ff8addaf213e97e2f4b54d39e45f5b9,Benchmarking Real World Object Recognition,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 987a649cb33302c41412419f8eeb77048aa5513e,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 987a649cb33302c41412419f8eeb77048aa5513e,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

+989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,China,China,China,35.86166000,104.19539700,edu,

 983f03659e42407b1779e407388ea86fa58043c6,Transferring activities: Updating human behavior analysis,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 98025d3d44e9379736adb1228919272ded9298ae,Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 985cd420c00d2f53965faf63358e8c13d1951fa8,Pixel-Level Hand Detection with Shape-Aware Structured Forests,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

@@ -5603,7 +6822,9 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 983f695c0ae44632182184f81579872f0353c6bc,V3C - A Research Video Collection,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 989ca38616b52f23c2720ba5c6df2493dc025d0a,Markerless Feature Extraction for Gait Analysis,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 9841df3cc4dc89379039092816ef19af949257a8,LBP-based Hierarchical Sparse Patch Learning for Face Recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+9841df3cc4dc89379039092816ef19af949257a8,LBP-based Hierarchical Sparse Patch Learning for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 9893865afdb1de55fdd21e5d86bbdb5daa5fa3d5,Illumination Normalization Using Logarithm Transforms for Face Authentication,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,

+98735e57075ed6e8ef9d98d7ca4895013492e35b,Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation,Pennsylvania State University,Pennsylvania State University,,,,edu,

 9865fe20df8fe11717d92b5ea63469f59cf1635a,Wildest Faces: Face Detection and Recognition in Violent Settings,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu,

 9865fe20df8fe11717d92b5ea63469f59cf1635a,Wildest Faces: Face Detection and Recognition in Violent Settings,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 98bb029afe2a1239c3fdab517323066f0957b81b,Person Re-identification by Video Ranking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -5619,6 +6840,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 989c7cdafa9b90ab2ea0a9d8fa60634cc698f174,YoloFlow Real-time Object Tracking in Video CS 229 Course Project,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 985dc9b8b003483f6df363a8ce07dd8c89ced903,"3 D Morphable Face Model , a Unified Approach for Analysis and Synthesis of Images",University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 98324ad5027c6b163d7a670570ffe2f8df70717c,LSTM Pose Machines,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+9838ba7a31a096503def7b69bf48e5d327f95caa,Emotion-Based Crowd Representation for Abnormality Detection,Hakim Sabzevari University,"Hakim Sabzevari University, Iran",استان خراسان رضوی، سبزوار، شهرک توحید، پردیس دانشگاه حکیم سبزواری، Iran,36.30263190,57.68068460,edu,

 9838ba7a31a096503def7b69bf48e5d327f95caa,Emotion-Based Crowd Representation for Abnormality Detection,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 989282f579fdca0ebdc890cf05cac88c29f9eb49,Benchmarking and Error Diagnosis in Multi-instance Pose Estimation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 98354134962592250a3ddbccad5cfb6733a76c9b,Improved Active Shape Model for Facial Feature Extraction in Color Images,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu,

@@ -5626,6 +6848,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation
 98d04187f091f402a90a6a9a2108393ca5f91563,ADVIO: An Authentic Dataset for Visual-Inertial Odometry,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 9825c4dddeb2ed7eaab668b55403aa2c38bc3320,Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 9825c4dddeb2ed7eaab668b55403aa2c38bc3320,Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+9825c4dddeb2ed7eaab668b55403aa2c38bc3320,Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings,China,China,China,35.86166000,104.19539700,edu,

 98cfbe37a68406ef194354de7e5ea453c4ea9adf,Generating Synthetic X-ray Images of a Person from the Surface Geometry,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 98cfbe37a68406ef194354de7e5ea453c4ea9adf,Generating Synthetic X-ray Images of a Person from the Surface Geometry,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 985d032bd45c3b1a6434d19526f9209ade72691a,Robust Low-Rank Regularized Regression for Face Recognition with Occlusion,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

@@ -5644,10 +6867,15 @@ febff0f6faa8dde77848845e4b3e6f6c91180d33,Embedding Deep Metric for Person Re-ide
 febff0f6faa8dde77848845e4b3e6f6c91180d33,Embedding Deep Metric for Person Re-identication A Study Against Large Variations,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 fe8a8c4133698e4b68018d99c6a2bcec870c5464,A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 fe5c43aa19da5cbbf5a42e4697659875f7389b91,Tracking People in Broadcast Sports,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+fefd9778ef0c23b9e59c2a4748dcb98c827168f4,Semantic Pixel Sets Based Local Binary Patterns for Face Recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

+fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,India,India,India,20.59368400,78.96288000,edu,

+fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,India,India,India,20.59368400,78.96288000,edu,

 fe710adb0e9e647d7ede0583b40d2aeb36c1fc7f,Human Appearance Transfer,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 fe5e1e869510d18d4c771b1fe924fca0a01f7222,Towards Energy-Efficient Mobile Sensing : Architectures and Frameworks for Heterogeneous Sensing and Computing,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 fef3efeffade0e39f2c279653b4785b372be410e,Survey Near infrared face recognition : A literature survey,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 fef3efeffade0e39f2c279653b4785b372be410e,Survey Near infrared face recognition : A literature survey,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

@@ -5699,27 +6927,38 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 34ce6a2b0f4404ef4f2a7d3eb68718454840fb10,Affective Responses by Adults with Autism Are Reduced to Social Images but Elevated to Images Related to Circumscribed Interests,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 346a18025714deaa2a37f4bba9e1a1f79426c8c7,K-tangent spaces on Riemannian manifolds for improved pedestrian detection,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 346a18025714deaa2a37f4bba9e1a1f79426c8c7,K-tangent spaces on Riemannian manifolds for improved pedestrian detection,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+34b6466e3e69547f6d464ad6b5660b1e629a5c35,Similar and Class Based Image Retrieval Using Hash Code,India,India,India,20.59368400,78.96288000,edu,

 34510d3b68b23cc829c5435ac12a5041a8adc50a,RTSeg: Real-Time Semantic Segmentation Comparative Study,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 34339f1edc9fb0ac90f363ddbaf39f853495a137,"Capture, analysis and synthesis of photorealistic crowds",Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 34b925a111ba29f73f5c0d1b363f357958d563c1,SAPPHIRE: An always-on context-aware computer vision system for portable devices,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

-34b925a111ba29f73f5c0d1b363f357958d563c1,SAPPHIRE: An always-on context-aware computer vision system for portable devices,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+34b925a111ba29f73f5c0d1b363f357958d563c1,SAPPHIRE: An always-on context-aware computer vision system for portable devices,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 34aa3dca30dc5cbf86c92d5035e35d264540a829,Person Re-identification by Attributes,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,China,China,China,35.86166000,104.19539700,edu,

+341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,China,China,China,35.86166000,104.19539700,edu,

+34b4f264578fc674dd2bf8d478ec1314739a5629,3D Novel Face Sample Modeling for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 34626bed8996e105e562119e1b4aa290114c89bf,Visual to Sound: Generating Natural Sound for Videos in the Wild,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 34108098e1a378bc15a5824812bdf2229b938678,Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 3434ba5677e5c98e82ee17a1f2d0ddef66d0b009,Interactive tracking and action retrieval to support human behavior analysis,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,China,China,China,35.86166000,104.19539700,edu,

 3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,China,China,China,35.86166000,104.19539700,edu,

 345cc31c85e19cea9f8b8521be6a37937efd41c2,Deep Manifold Traversal: Changing Labels with Convolutional Features,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+34b124ecdc3471167cea1675a74a0232a881bc69,Infrared face recognition based on LBP co-occurrence matrix,China,China,China,35.86166000,104.19539700,edu,

 34994e291f2ddfbb2938599730a5f7a79498dfe1,Single camera pose estimation using Bayesian filtering and Kinect motion priors,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 349668b75c4398c075fc681f563a80ad7cf6b4f2,Real-time face pose estimation from single range images,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu,

 349c50a22c9f5b46f4ed0f03912706b2c9d484d5,Zero-Shot Learning Across Heterogeneous Overlapping Domains,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+3447fc311a3adf60d36283b51c1a1e0d3be7416c,A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3447fc311a3adf60d36283b51c1a1e0d3be7416c,A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,China,China,China,35.86166000,104.19539700,edu,

 346c9100b2fab35b162d7779002c974da5f069ee,Photo search by face positions and facial attributes on touch devices,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 34c8de02a5064e27760d33b861b7e47161592e65,Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 34c8de02a5064e27760d33b861b7e47161592e65,Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+34c8de02a5064e27760d33b861b7e47161592e65,Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,China,China,China,35.86166000,104.19539700,edu,

 34b42bcf84d79e30e26413f1589a9cf4b37076f9,Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 34022637860443c052375c45c4f700afcb438cd0,Automatic Recognition of Emotions and Membership in Group Videos,Queen Mary University,Queen Mary University,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu,

 34022637860443c052375c45c4f700afcb438cd0,Automatic Recognition of Emotions and Membership in Group Videos,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

@@ -5729,16 +6968,22 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 34a256eb89fde78d61c2184787f5c3183dae49cc,Convex Co-embedding,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 349db48589d9c2177b2067b112b8411513242e95,Object recognition with hierarchical kernel descriptors,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 344a5802999dddd0a6d1c4d511910af2eb922231,DroneFace: An Open Dataset for Drone Research,Feng Chia University,Feng Chia University,"逢甲大學, 100, 文華路, 西平里, 西屯區, 臺中市, 40724, 臺灣",24.18005755,120.64836072,edu,

+34032cf0f94cc6645b7fb5df821c72039151c0fa,Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques,India,India,India,20.59368400,78.96288000,edu,

 34032cf0f94cc6645b7fb5df821c72039151c0fa,Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 3436b30d5c09a089252cea893fced7b3a5cbc675,The Singularity and the State of the Art in Artificial Intelligence: The technological singularity (Ubiquity symposium),New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

+347ce37f15cea5bb8d0a676562664f80e3609b78,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3410a1489d04ec6fcfbb3d76d39055117931ccf0,Learning Collections of Part Models for Object Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+349f305fff405c0f38b9df2e1648450eb841fcea,Multi-target Tracking with Motion Context in Tensor Power Iteration,China,China,China,35.86166000,104.19539700,edu,

 349f305fff405c0f38b9df2e1648450eb841fcea,Multi-target Tracking with Motion Context in Tensor Power Iteration,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 34ce703b7e79e3072eed7f92239a4c08517b0c55,What impacts skin color in digital photos?,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 34d8287c2c84b30ef056c0a07f13404ca5ec9471,Locating Facial Features with an Extended Active Shape Model,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu,

 342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,China,China,China,35.86166000,104.19539700,edu,

+342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,China,China,China,35.86166000,104.19539700,edu,

 342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 34863ecc50722f0972e23ec117f80afcfe1411a9,An efficient face recognition algorithm based on robust principal component analysis,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+34863ecc50722f0972e23ec117f80afcfe1411a9,An efficient face recognition algorithm based on robust principal component analysis,China,China,China,35.86166000,104.19539700,edu,

 348a16b10d140861ece327886b85d96cce95711e,Finding Good Features for Object Recognition,"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,

 34ed02e82e9816e7491b1af9f6f65d7fff87ff84,Active nonrigid ICP algorithm,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,

 34ed02e82e9816e7491b1af9f6f65d7fff87ff84,Active nonrigid ICP algorithm,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

@@ -5748,12 +6993,19 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 887502ea2d8a335d8e72deb23fec2784df713b8d,Nonlinear Local Metric Learning for Person Re-identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 887502ea2d8a335d8e72deb23fec2784df713b8d,Nonlinear Local Metric Learning for Person Re-identification,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 88a0ff6b180703a2d90bc86b40520e35a08fe02c,The Normalized Distance Preserving Binary Codes and Distance Table *,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu,

+88a0ff6b180703a2d90bc86b40520e35a08fe02c,The Normalized Distance Preserving Binary Codes and Distance Table *,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+881066ec43bcf7476479a4146568414e419da804,From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips,India,India,India,20.59368400,78.96288000,edu,

+88502625b546607f4992085a313dab1ceb68e4d7,A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions,India,India,India,20.59368400,78.96288000,edu,

+88502625b546607f4992085a313dab1ceb68e4d7,A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions,India,India,India,20.59368400,78.96288000,edu,

+88f5f9d92c4fa696457a824c3eec204da05ba6a4,XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 8824638e8077f62283d292804006ce94c92764bf,M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 88bb5fe557339cbe7d2b45df23e63b9829ed6d24,Joint Feature Selection with Low-rank Dictionary Learning,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 88e090ffc1f75eed720b5afb167523eb2e316f7f,Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 88e30a988d4a496d61eb241d4cafe5cc88688ae6,Using attributes for word spotting and recognition in polytonic greek documents,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu,

 88ee6d0b8342852a5bd55864dc7a1c8452c10bbf,Support Vector Machines Applied to Face Recognition,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 88f8519f442826f9b7b2649c1cfcbc5c82160428,Gender Classification Based on Support Vector Machine with Automatic Confidence,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+88f8519f442826f9b7b2649c1cfcbc5c82160428,Gender Classification Based on Support Vector Machine with Automatic Confidence,China,China,China,35.86166000,104.19539700,edu,

+889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7,Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8880af06d8497e9deda01e0a0eabacf9e1cf0490,Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 8877e0b2dc3d2e8538c0cfee86b4e8657499a7c4,Automatic facial expression recognition for affective computing based on bag of distances,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu,

 8877e0b2dc3d2e8538c0cfee86b4e8657499a7c4,Automatic facial expression recognition for affective computing based on bag of distances,National Taichung University of Science and Technology,National Taichung University of science and Technology,"臺中科大, 129, 三民路三段, 錦平里, 賴厝廍, 北區, 臺中市, 40401, 臺灣",24.15031065,120.68325501,edu,

@@ -5772,6 +7024,9 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 88bbbdb657cf23d5d406899168bb028b4999aa70,Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 88bbbdb657cf23d5d406899168bb028b4999aa70,Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 88bbbdb657cf23d5d406899168bb028b4999aa70,Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 887745c282edf9af40d38425d5fdc9b3fe139c08,FAME: Face Association through Model Evolution,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 887745c282edf9af40d38425d5fdc9b3fe139c08,FAME: Face Association through Model Evolution,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 8820d1d3fa73cde623662d92ecf2e3faf1e3f328,Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu,

@@ -5779,37 +7034,55 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 886fc74b943011ce5ce192ff98d6ea9dcac7ef11,Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon?,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

 886fc74b943011ce5ce192ff98d6ea9dcac7ef11,Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon?,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

 886fc74b943011ce5ce192ff98d6ea9dcac7ef11,Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon?,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

+88a37a05024ef3390e2f1b67fb3637d1c8bbddb3,Home Theft Detection and Recognition Using ROI and PCA Technique,India,India,India,20.59368400,78.96288000,edu,

+88a37a05024ef3390e2f1b67fb3637d1c8bbddb3,Home Theft Detection and Recognition Using ROI and PCA Technique,India,India,India,20.59368400,78.96288000,edu,

 88b9b003c488f1fd76c82ca9311a24c070fef2c8,"Person Retrieval in Surveillance Video using Height, Color and Gender",Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu,

+88b9b003c488f1fd76c82ca9311a24c070fef2c8,"Person Retrieval in Surveillance Video using Height, Color and Gender",India,India,India,20.59368400,78.96288000,edu,

+8818b12aa0ff3bf0b20f9caa250395cbea0e8769,Fashion Conversation Data on Instagram_ICWSM 2017,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 8818b12aa0ff3bf0b20f9caa250395cbea0e8769,Fashion Conversation Data on Instagram_ICWSM 2017,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 880760777e3671593ba50b7a17b0d30b655fc86d,"Visual Question Answering : Datasets , Methods , Challenges and Oppurtunities",Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 88af2da57863b60ddd3776d61113b552e827d3b8,Face Recognition by Sliding Complex Wavelet Structural Similarity Index on Detail Geometry Images ⋆,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

+88af2da57863b60ddd3776d61113b552e827d3b8,Face Recognition by Sliding Complex Wavelet Structural Similarity Index on Detail Geometry Images ⋆,China,China,China,35.86166000,104.19539700,edu,

 88bf14cd272fda73e5bc8fb48102a93149792e37,Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 88bf14cd272fda73e5bc8fb48102a93149792e37,Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu,

 88e2574af83db7281c2064e5194c7d5dfa649846,A Robust Shape Reconstruction Method for Facial Feature Point Detection,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+88e2574af83db7281c2064e5194c7d5dfa649846,A Robust Shape Reconstruction Method for Facial Feature Point Detection,China,China,China,35.86166000,104.19539700,edu,

 504c1cc2ddea7db0f684269be3df05e9e95b6e2c,"Automatic 3D Face Detection, Normalization and Recognition",University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+507660f778fe913f6e1957fe39a87cbf50a52b2e,Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 50894e607cd5eb616913b520c4e238a73f432b86,eural Correlates of Eye Gaze Processing in the Infant roader Autism Phenotype,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+500993a8852f766d4bac7b5039b9072b587e4d09,HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,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,

 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 50953b9a15aca6ef3351e613e7215abdcae1435e,Learning coarse-to-fine sparselets for efficient object detection and scene classification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,India,India,India,20.59368400,78.96288000,edu,

+50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,India,India,India,20.59368400,78.96288000,edu,

+50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,India,India,India,20.59368400,78.96288000,edu,

+50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 50b40ec042047b4292fd9b650969d4efbd20c9ed,Optimal gradient pursuit for face alignment,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,China,China,China,35.86166000,104.19539700,edu,

 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Kent State University,Kent State University,"Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA",41.14435250,-81.33982833,edu,

 508702ed2bf7d1b0655ea7857dd8e52d6537e765,Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

+5042b358705e8d8e8b0655d07f751be6a1565482,"- 9359 ( Volume-4 , Issue-8 ) Review on Emotion Detection in Image",India,India,India,20.59368400,78.96288000,edu,

+50188f3b8d63e196af9ad156e8ff127e060d0aef,Metadata of the chapter that will be visualized in SpringerLink,China,China,China,35.86166000,104.19539700,edu,

 5075c16908a72d506aa19e10e12e79ed9383db48,Lecture 16 : Recognizing Objects by Parts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+5075c16908a72d506aa19e10e12e79ed9383db48,Lecture 16 : Recognizing Objects by Parts,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 509be79bd94d56ef7cd1af54e2be88983805bbe9,Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 509be79bd94d56ef7cd1af54e2be88983805bbe9,Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications,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,

 509be79bd94d56ef7cd1af54e2be88983805bbe9,Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

@@ -5829,7 +7102,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 5050807e90a925120cbc3a9cd13431b98965f4b9,Unsupervised learning of discriminative relative visual attributes,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu,

 50131e57e14eafd385d94fb31e63f86a5bab9b9f,Detection and Segmentation of Brain Metastases with Deep Convolutional Networks,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 50bf4f77d8b66ec838ad59a869630eace7e0e4a7,Deeply-Learned Part-Aligned Representations for Person Re-identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

-50bf4f77d8b66ec838ad59a869630eace7e0e4a7,Deeply-Learned Part-Aligned Representations for Person Re-identification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+50bf4f77d8b66ec838ad59a869630eace7e0e4a7,Deeply-Learned Part-Aligned Representations for Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 503ebd87259e8757aca3f29861f9878f9a09b26b,Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 500fbe18afd44312738cab91b4689c12b4e0eeee,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 500fbe18afd44312738cab91b4689c12b4e0eeee,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

@@ -5838,6 +7111,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 500fbe18afd44312738cab91b4689c12b4e0eeee,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,University of Venezia,University of Venezia,"University, Fondamenta Toffetti, Dorsoduro, Venezia-Murano-Burano, Venezia, VE, VEN, 30123, Italia",45.43127420,12.32653770,edu,

 50ab5859994c76dd69f2ef6c770888408d9ae5d0,Intention Oriented Image Captions with Guiding Objects,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,China,China,China,35.86166000,104.19539700,edu,

 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

@@ -5845,6 +7119,8 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 507af6591900a7165c529eca9fd370008c1ac87c,"For Black men, being tall increases threat stereotyping and police stops.",University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 507af6591900a7165c529eca9fd370008c1ac87c,"For Black men, being tall increases threat stereotyping and police stops.",Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 50d2fa4e3a4e961cf35cef6d11ea745f9d1b3839,Spotlight the Negatives: A Generalized Discriminative Latent Model,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+50ed931266a22bc166afef38f4b217fe9b4d5d74,Efficient eye typing with 9-direction gaze estimation,China,China,China,35.86166000,104.19539700,edu,

+50ed931266a22bc166afef38f4b217fe9b4d5d74,Efficient eye typing with 9-direction gaze estimation,China,China,China,35.86166000,104.19539700,edu,

 50ed931266a22bc166afef38f4b217fe9b4d5d74,Efficient eye typing with 9-direction gaze estimation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 50af3b6f7192951b42c2531ee931c8244e505a5c,Weakly Supervised Learning for Attribute Localization in Outdoor Scenes,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 50d80e2020698b4cf49e6b820df0aea497d8fdd3,Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos,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,

@@ -5863,6 +7139,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 50612493253f5cea7ecf406e9a8d75382b96a83e,How do humans sketch objects?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 50612493253f5cea7ecf406e9a8d75382b96a83e,How do humans sketch objects?,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany"

 5003754070f3a87ab94a2abb077c899fcaf936a6,Evaluation of LC-KSVD on UCF 101 Action Dataset,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+50e5dd45a94a56cb973e51dc3347e621266db7e4,3 D Face Recognition Using Concurrent Neural Modules,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 5060e2e7d94e002a5376f4edfd2e48ac01d6221f,"Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures",University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 5060e2e7d94e002a5376f4edfd2e48ac01d6221f,"Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures",Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 5060e2e7d94e002a5376f4edfd2e48ac01d6221f,"Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures",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,

@@ -5884,6 +7161,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 505ea4493e4b733352c921401a96d92b4e6d4448,Coupled Discriminative Feature Learning for Heterogeneous Face Recognition,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

 504d79d7fba48645ef84a90b94a431f8a7e0612d,Compositional Compression of Deep Image Features Using Stacked Quantizers,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 1c7a050394371bcb064868dfe681ff4c29ce2101,Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+1c7a050394371bcb064868dfe681ff4c29ce2101,Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 1c7a050394371bcb064868dfe681ff4c29ce2101,Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1c2802c2199b6d15ecefe7ba0c39bfe44363de38,Personalizing Human Video Pose Estimation,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu,

 1c2802c2199b6d15ecefe7ba0c39bfe44363de38,Personalizing Human Video Pose Estimation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -5892,6 +7170,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 1c2802c2199b6d15ecefe7ba0c39bfe44363de38,Personalizing Human Video Pose Estimation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 1c686359a30e68183d1b23e069c56a7c0b1fdae3,3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 1c9efb6c895917174ac6ccc3bae191152f90c625,Unifying Identification and Context Learning for Person Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1cdf8790a675037579bbe2ee4f39f731f7672fae,Pivot Correlational Neural Network for Multimodal Video Categorization,"KAIST, Daejeon, South Korea","KAIST, Daejeon, South Korea","291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

@@ -5899,6 +7178,8 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 1c41965c5e1f97b1504c1bdde8037b5e0417da5e,Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3,Dynamic Image-to-Class Warping for Occluded Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee,Deep fusion of visual signatures for client-server facial analysis,India,India,India,20.59368400,78.96288000,edu,

 1c3f3866dec10f858193b4eb34dfc1cdcff0cb45,Employing Weak Annotations for Medical Image Analysis Problems,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,

 1c3f3866dec10f858193b4eb34dfc1cdcff0cb45,Employing Weak Annotations for Medical Image Analysis Problems,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

 1c1aa29b709370f78cc485b14c18b89a53229b62,Topological Data Mapping for Improved Generalization Capabilities using Counter Propagation Networks,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu,

@@ -5908,25 +7189,33 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 1c6690ab404b23d5026dd3ad0c7a49ce2875c1b3,Anchors: High-Precision Model-Agnostic Explanations,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 1c522e6b5d8b85f29ecacb477226ce8c33cc65d5,ICA Based Face Recognition Robust to Partial Occlusions and Local Distortions,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu,

 1c42f8ab39e22225ffd3222baeba4863435220a0,Differentiable Learning-to-Normalize via Switchable Normalization,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1cad5d682393ffbb00fd26231532d36132582bb4,Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation,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,

 1c4f47cd1aaff689aafda8211db9c1732225b1bc,Mix-and-Match Tuning for Self-Supervised Semantic Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1c404de2c85a1b58cf7048ca645de6d392358779,Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

 1c6e067098fa86ee3f96365f28669b06f9ce0c7a,Object Detection from Video Tubelets with Convolutional Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

-1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

-1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 1cc902dc999103c8ed27559affa5cdaed6fc2c38,Analysing comparative soft biometrics from crowdsourced annotations,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+1cf01968594ae59d28b12c9a35fc43d944563071,Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram,India,India,India,20.59368400,78.96288000,edu,

+1c9da6cef6b1be9c116b26dd52c341c0adcf7db2,Interactive Perception: Leveraging Action in Perception and Perception in Action,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1c9da6cef6b1be9c116b26dd52c341c0adcf7db2,Interactive Perception: Leveraging Action in Perception and Perception in Action,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1ca9da67e2c427e59a5a54c9b31157e6b8b4843e,A Boundary-Fragment-Model for Object Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 1cf4abbd052c94e63557b7922f7a5fc7e22c6e3f,Multimodal Similarity-Preserving Hashing,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 1c147261f5ab1b8ee0a54021a3168fa191096df8,Face Recognition across Time Lapse Using Convolutional Neural Networks,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 1cfbaa9af05f0eea03ac7c28cc0e588687cd8343,Self-view Grounding Given a Narrated 360{\deg} Video,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 1cfbaa9af05f0eea03ac7c28cc0e588687cd8343,Self-view Grounding Given a Narrated 360{\deg} Video,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

-1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+1c3ec6379ba664d52d250ac1647d379ec970fa5c,Object proposal by multi-branch hierarchical segmentation,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1c530de1a94ac70bf9086e39af1712ea8d2d2781,Sparsity Conditional Energy Label Distribution Learning for Age Estimation,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 1c9a61c8ec255d033201fb9b394b283a6b6acacc,Structured Feature Learning for Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1c5b168c29d1c8b3dc753865c741b9f3c56d0555,Auto-Encoding Scene Graphs for Image Captioning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 1c71e653f86b06eb7d5b1d92694f34e6f57173de,Enhanced Attacks on Defensively Distilled Deep Neural Networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 1c99e412666d63e46e1c6606841837d3c18f48e6,Unsupervised object learning from dense equivariant image labelling,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+1cc3c5f242d885738e9349a91d4beba82ae106a6,Scalable nonconvex inexact proximal splitting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+1cb68fa98a0d9871a394cd0035488df167b9c2cf,RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 1c2724243b27a18a2302f12dea79d9a1d4460e35,Fisher+Kernel criterion for discriminant analysis,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 1c2724243b27a18a2302f12dea79d9a1d4460e35,Fisher+Kernel criterion for discriminant analysis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1c2724243b27a18a2302f12dea79d9a1d4460e35,Fisher+Kernel criterion for discriminant analysis,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -5935,11 +7224,14 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 1c17450c4d616e1e1eece248c42eba4f87de9e0d,Automatic Age Estimation from Face Images via Deep Ranking,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a,Object Detection and Viewpoint Estimation with Auto-masking Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a,Object Detection and Viewpoint Estimation with Auto-masking Neural Network,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a,Object Detection and Viewpoint Estimation with Auto-masking Neural Network,China,China,China,35.86166000,104.19539700,edu,

 1cee993dc42626caf5dbc26c0a7790ca6571d01a,Optimal illumination for image and video relighting,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 1c408790a7bc5cc8b0c2e23668ad326d0ccbebd4,Automatic detection of pain intensity,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,

 1c408790a7bc5cc8b0c2e23668ad326d0ccbebd4,Automatic detection of pain intensity,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 1cf53b650c4a3e212bd6f25e3c9fe8c757862a7d,Human pose estimation via Convolutional Part Heatmap Regression,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 1c37f96b346c76cae6d13f3731d5160e1be7cb49,Robust 3D Face Recognition by Using Shape Filtering,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

+1c37f96b346c76cae6d13f3731d5160e1be7cb49,Robust 3D Face Recognition by Using Shape Filtering,China,China,China,35.86166000,104.19539700,edu,

+1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8,RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization,India,India,India,20.59368400,78.96288000,edu,

 1c05dc0f73f424561c488a282c711827047459c4,Supervised trace lasso for robust face recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 1cbd3f96524ca2258fd2d5c504c7ea8da7fb1d16,Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

 1c3ca2dc3bbdcdda1abd78d40dcc2e6945118e60,Generalized Range Moves,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -5954,9 +7246,12 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 1cd9c4bfb68a5821b756ccc0a6bd8105aafc7f56,Learning with Mixtures of Trees,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 1caac27548cc7f98380e4e95ccbc8e6e164489c8,Human Pose Estimation using Deep Consensus Voting,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 1cd3250280a0703ba57bbc357287a7213f901b7e,Learning spatio-temporal models of facial expressions,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+45c4514ca2b7903b4c8f43e396bce73f014b72be,Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification,China,China,China,35.86166000,104.19539700,edu,

 451b6409565a5ad18ea49b063561a2645fa4281b,Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 454dd76eb0a82286c054a6dd9d9413e09ad66801,Graph-Structured Representations for Visual Question Answering,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

-457126a6ae703998ba62f283699f94fe5874398d,Free energy score space,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+45bedfcb562e48a64436ea3131bc91098eb93dab,Incremental update of biometric models in face-based video surveillance,"Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada","Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada","140 Thad Johnson Private, Ottawa, ON K1V 0R4, Canada",45.32564940,-75.65345940,gov,

+457126a6ae703998ba62f283699f94fe5874398d,Free energy score space,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

+457126a6ae703998ba62f283699f94fe5874398d,Free energy score space,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 450c6a57f19f5aa45626bb08d7d5d6acdb863b4b,Towards Interpretable Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 454f403857e487d6a885180e0e0f7216a342fb0e,Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 459960be65dd04317dd325af5b7cbb883d822ee4,The Meme Quiz: A Facial Expression Game Combining Human Agency and Machine Involvement,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

@@ -5975,17 +7270,24 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 4543052aeaf52fdb01fced9b3ccf97827582cef5,Quantized Densely Connected U-Nets for Efficient Landmark Localization,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 4543052aeaf52fdb01fced9b3ccf97827582cef5,Quantized Densely Connected U-Nets for Efficient Landmark Localization,Binghamton University,Binghamton University,"Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA",42.09580770,-75.91455689,edu,

 4543052aeaf52fdb01fced9b3ccf97827582cef5,Quantized Densely Connected U-Nets for Efficient Landmark Localization,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

+45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 45deb9d034e5c99de0e36e4c2a9a4f4277d1497f,Compound facial expressions of emotion.,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 45deb9d034e5c99de0e36e4c2a9a4f4277d1497f,Compound facial expressions of emotion.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

+459e840ec58ef5ffcee60f49a94424eb503e8982,One-shot Face Recognition by Promoting Underrepresented Classes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 4541c9b4b7e6f7a232bdd62ae653ba5ec0f8bbf6,The role of structural facial asymmetry in asymmetry of peak facial expressions.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 4541c9b4b7e6f7a232bdd62ae653ba5ec0f8bbf6,The role of structural facial asymmetry in asymmetry of peak facial expressions.,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,

 4541c9b4b7e6f7a232bdd62ae653ba5ec0f8bbf6,The role of structural facial asymmetry in asymmetry of peak facial expressions.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 452955c4e448b5f5baa1522c0002d6f192166851,Low-Resource Face Spoofing Detection in a User-friendly Manner,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+455943924a98593655ae7197ee3835b9f6a3b778,Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning,"Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu,

+4562272025a5bcdb321408116c699798a7997847,Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu,

 45e616093a92e5f1e61a7c6037d5f637aa8964af,Fine-grained evaluation on face detection in the wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 45483f17551d9c6b550474dc7168ec31302e5d7b,Face recognition via collaborative representation based multiple one-dimensional embedding,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu,

+45483f17551d9c6b550474dc7168ec31302e5d7b,Face recognition via collaborative representation based multiple one-dimensional embedding,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 45e8ef229fae18b0a2ab328037d8e520866c3c81,Learning Feature Pyramids for Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 45e8ef229fae18b0a2ab328037d8e520866c3c81,Learning Feature Pyramids for Human Pose Estimation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 457cf73263d80a1a1338dc750ce9a50313745d1d,Decomposing Motion and Content for Natural Video Sequence Prediction,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+457cf73263d80a1a1338dc750ce9a50313745d1d,Decomposing Motion and Content for Natural Video Sequence Prediction,"POSTECH, Pohang, Korea","POSTECH, Pohang, Korea","77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea",36.01388570,129.32318360,edu,

 457cf73263d80a1a1338dc750ce9a50313745d1d,Decomposing Motion and Content for Natural Video Sequence Prediction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 45f858f9e8d7713f60f52618e54089ba68dfcd6d,What Actions are Needed for Understanding Human Actions in Videos?,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,

 459b4d0ed3031e2fe5b3b3f176a5204dfb28157a,3D face landmark labelling,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

@@ -6006,11 +7308,15 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 4558338873556d01fd290de6ddc55721c633a1ad,Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

 45619a2b7b41fea02345badf880530519d3d4c8f,Learning Generalized Linear Models Over Normalized Data,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 45c182f8d003a2d505e4d1d491b5d03159a70b81,Training Generative Adversarial Networks Via Turing Test,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+45c182f8d003a2d505e4d1d491b5d03159a70b81,Training Generative Adversarial Networks Via Turing Test,China,China,China,35.86166000,104.19539700,edu,

 45052b4bad0ca9a51e3f00ce50ed8495595af681,Fusion of PCA-Based and LDA-Based Similarity Measures for Face Verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 45a3ba54fc2210cf8a4fba0cbdce9dad3cefc826,Complete Cross-Validation for Nearest Neighbor Classifiers,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,

+457abee61182a320b301d73ecceff00d055f596e,Face Recognition Using Line Edge Map,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 451eed7fd8ae281d1cc76ca8cdecbaf47816e55a,Close Yet Distinctive Domain Adaptation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+454ec30d0a491800458a52a5aa655eb76a28f4f5,3-D Object Recognition Using 2-D Views,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4597b7c4f13e1dfc456d156c6c05502fc5d38eec,Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 45513d0f2f5c0dac5b61f9ff76c7e46cce62f402,Face Discovery with Social Context,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+45ff38add61df32a027048624f58952a67a7c5f5,Deep Context Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 45ff38add61df32a027048624f58952a67a7c5f5,Deep Context Convolutional Neural Networks for Semantic Segmentation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 2b73e3d541b0208ae54b3920fef4bfd9fd0c84a7,Feature-based face representations and image reconstruction from behavioral and neural data.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 2b73e3d541b0208ae54b3920fef4bfd9fd0c84a7,Feature-based face representations and image reconstruction from behavioral and neural data.,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,

@@ -6019,16 +7325,19 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 2b10b0f309546878ec418ae6e6f0a993fd7f3293,Human Perambulation as a Self Calibrating Biometric,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 2b2ba4857991c40fb854080dc5f9e48e60c35e68,"Data Hallucination , Falsification and Validation using Generative Models and Formal Methods by","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,

 2b435ee691718d0b55d057d9be4c3dbb8a81526e,SURF-Face: Face Recognition Under Viewpoint Consistency Constraints,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+2bbb772332a90b2aba893f7467daa76b373be240,Extracting 3D Layout From a Single Image Using Global Image Structures,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2b852a4e5026ab962050a0ef23a6892e06abb152,EmojiGAN: learning emojis distributions with a generative model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 2b852a4e5026ab962050a0ef23a6892e06abb152,EmojiGAN: learning emojis distributions with a generative model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 2b852a4e5026ab962050a0ef23a6892e06abb152,EmojiGAN: learning emojis distributions with a generative model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 2b869d5551b10f13bf6fcdb8d13f0aa4d1f59fc4,Ring loss: Convex Feature Normalization for Face Recognition,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,

 2b4bed0fadee29a84a272d7c52adc4a70e1a2b52,Human motion detection using fuzzy rule-base classification of moving blob regions,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 2b4bed0fadee29a84a272d7c52adc4a70e1a2b52,Human motion detection using fuzzy rule-base classification of moving blob regions,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

+2b4bed0fadee29a84a272d7c52adc4a70e1a2b52,Human motion detection using fuzzy rule-base classification of moving blob regions,India,India,India,20.59368400,78.96288000,edu,

 2b339ece73e3787f445c5b92078e8f82c9b1c522,"Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 2b86919eb8073d9b0e137b23cc9a14fab8bc601b,Joint Intensity and Spatial Metric Learning for Robust Gait Recognition,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 2b0102d77d3d3f9bc55420d862075934f5c85bec,Slicing Convolutional Neural Network for Crowd Video Understanding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 2b0102d77d3d3f9bc55420d862075934f5c85bec,Slicing Convolutional Neural Network for Crowd Video Understanding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+2b9082b6b5266f6f7d7a95892f30cc84138697e5,Video Person Re-Identification by Temporal Residual Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2b9410889dc6870cc6e0476dbc681049b28ccacb,Learning to Detect Carried Objects with Minimal Supervision,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 2b64a8c1f584389b611198d47a750f5d74234426,Deblurring Face Images with Exemplars,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 2b64a8c1f584389b611198d47a750f5d74234426,Deblurring Face Images with Exemplars,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

@@ -6038,6 +7347,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 2b0e1a62d7168df5f29e2e9c7fc72ae43c39fdb2,Emotion expression modulates perception of animacy from faces,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 2b4e48d6a0f7c612acc8748bc0dccacde2174c1d,A task in a suit and a tie: paraphrase generation with semantic augmentation,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 2b10a07c35c453144f22e8c539bf9a23695e85fc,Standardization of Face Image Sample Quality,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+2b10a07c35c453144f22e8c539bf9a23695e85fc,Standardization of Face Image Sample Quality,China,China,China,35.86166000,104.19539700,edu,

 2b10a07c35c453144f22e8c539bf9a23695e85fc,Standardization of Face Image Sample Quality,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 2b4512097cb0056886f2d4d2ca7f5b034a647237,3D Facial Expression Recognition Based on Primitive Surface Feature Distribution,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu,

 2b88c583cd62130f1e2c6921db9703a0c5746a90,Multicamera tracking of multiple humans based on colored visual hulls,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu,

@@ -6046,8 +7356,11 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 2b5cb5466eecb131f06a8100dcaf0c7a0e30d391,A comparative study of active appearance model annotation schemes for the face,"UNCW, USA","UNCW, USA","601 S College Rd, Wilmington, NC 28403, USA",34.22398690,-77.87013250,edu,

 2bcec23ac1486f4106a3aa588b6589e9299aba70,An Uncertain Future: Forecasting from Static Images using Variational Autoencoders,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,

 2bcd59835528c583bb5b310522a5ba6e99c58b15,Multi-class Open Set Recognition Using Probability of Inclusion,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7,Fast Support Vector Classifier for automated content-based search in video surveillance,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 2b84630680e2c906f8d7ac528e2eb32c99ef203a,We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 2b84630680e2c906f8d7ac528e2eb32c99ef203a,We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu,

+2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,India,India,India,20.59368400,78.96288000,edu,

+2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,India,India,India,20.59368400,78.96288000,edu,

 2be8e06bc3a4662d0e4f5bcfea45631b8beca4d0,Watch and learn: Semi-supervised learning of object detectors from videos,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 2bb2ba7c96d40e269fc6a2d5384c739ff9fa16eb,Image-Based Recommendations on Styles and Substitutes,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 2bb2ba7c96d40e269fc6a2d5384c739ff9fa16eb,Image-Based Recommendations on Styles and Substitutes,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

@@ -6056,15 +7369,22 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 2b6c031c61b78a9f9ee958d291d29c8ab359404e,Vision of a Visipedia,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 2bb53e66aa9417b6560e588b6235e7b8ebbc294c,Semantic embedding space for zero-shot action recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 2b7ef95822a4d577021df16607bf7b4a4514eb4b,Emergence of Object-Selective Features in Unsupervised Feature Learning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 2b64a72d53f13417c6352d3e89fd27df91b5d697,Learning human interaction by interactive phrases,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 2bf8541199728262f78d4dced6fb91479b39b738,Clothing Co-parsing by Joint Image Segmentation and Labeling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 2bf8541199728262f78d4dced6fb91479b39b738,Clothing Co-parsing by Joint Image Segmentation and Labeling,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+2bf8541199728262f78d4dced6fb91479b39b738,Clothing Co-parsing by Joint Image Segmentation and Labeling,China,China,China,35.86166000,104.19539700,edu,

 2b514d32318bb01ab04f75ef19ad1af63bce7943,ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu,

+2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,India,India,India,20.59368400,78.96288000,edu,

+2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,India,India,India,20.59368400,78.96288000,edu,

 2ba23d9b46027e47b4483243871760e315213ffe,Energy-based Generative Adversarial Network,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 2bc16bf87ceec85822912ef612385e519a6f98b5,"Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 2bc16bf87ceec85822912ef612385e519a6f98b5,"Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 2bdba44420e400eceab79f02a8552ee97e940225,Pornography detection using BossaNova video descriptor,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu,

 2bab44d3a4c5ca79fb8f87abfef4456d326a0445,Player identification in soccer videos,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2b42f83a720bd4156113ba5350add2df2673daf0,Action Recognition and Detection by Combining Motion and Appearance Features,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 2b42f83a720bd4156113ba5350add2df2673daf0,Action Recognition and Detection by Combining Motion and Appearance Features,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 2b42f83a720bd4156113ba5350add2df2673daf0,Action Recognition and Detection by Combining Motion and Appearance Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -6078,24 +7398,37 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 467b602a67cfd7c347fe7ce74c02b38c4bb1f332,Large Margin Local Metric Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 46f698dacdb5f76d6b4dae67cb1ae4da2b789398,Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

 4622b82a8aff4ac1e87b01d2708a333380b5913b,Multi-label CNN based pedestrian attribute learning for soft biometrics,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+4622b82a8aff4ac1e87b01d2708a333380b5913b,Multi-label CNN based pedestrian attribute learning for soft biometrics,China,China,China,35.86166000,104.19539700,edu,

 46836605c2ef5f78796644da3d385f66825518ba,Action Detection in Crowd,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 46702e0127e16a4d6a1feda3ffc5f0f123957e87,Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+46702e0127e16a4d6a1feda3ffc5f0f123957e87,Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 462fe97ce53e58c8e2cb01c925b46bcf3bb53eda,How features of the human face affect recognition: a statistical comparison of three face recognition algorithms,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 462fe97ce53e58c8e2cb01c925b46bcf3bb53eda,How features of the human face affect recognition: a statistical comparison of three face recognition algorithms,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,China,China,China,35.86166000,104.19539700,edu,

+46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,China,China,China,35.86166000,104.19539700,edu,

 4678a2ae263e7952887df31f76ab404df74a4649,High Performance Human Face Recognition using Gabor Based Pseudo Hidden Markov Model,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+4678a2ae263e7952887df31f76ab404df74a4649,High Performance Human Face Recognition using Gabor Based Pseudo Hidden Markov Model,India,India,India,20.59368400,78.96288000,edu,

 468c97bdfb67614d458ba63eee04756add5631b3,Beyond Kmedoids: Sparse Model Based Medoids Algorithm for Representative Selection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+468c97bdfb67614d458ba63eee04756add5631b3,Beyond Kmedoids: Sparse Model Based Medoids Algorithm for Representative Selection,China,China,China,35.86166000,104.19539700,edu,

 460852dc965390d116e05e2dc28681a9abe08f2d,Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron‬,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 4698ed97f4a78e724c903ec1dd6e5538203237c8,Using phase instead of optical flow for action recognition,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 4698ed97f4a78e724c903ec1dd6e5538203237c8,Using phase instead of optical flow for action recognition,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,

-46253ab8721ced8c9b94234f3a2401efde1e3f2a,Language Models for Image Captioning: The Quirks and What Works,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+46253ab8721ced8c9b94234f3a2401efde1e3f2a,Language Models for Image Captioning: The Quirks and What Works,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 46e72046a9bb2d4982d60bcf5c63dbc622717f0f,Learning Discriminative Features with Class Encoder,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 46ae4d593d89b72e1a479a91806c39095cd96615,A conditional random field approach for face identification in broadcast news using overlaid text,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+4698a599425c3a6bae1c698456029519f8f2befe,Transferring Rich Deep Features for Facial Beauty Prediction,China,China,China,35.86166000,104.19539700,edu,

+4698a599425c3a6bae1c698456029519f8f2befe,Transferring Rich Deep Features for Facial Beauty Prediction,China,China,China,35.86166000,104.19539700,edu,

 4698a599425c3a6bae1c698456029519f8f2befe,Transferring Rich Deep Features for Facial Beauty Prediction,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu,

 46d29ee2b97362299ef83c06ffc4461906f1ccda,It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 46d29ee2b97362299ef83c06ffc4461906f1ccda,It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

+469d249a40639d4ffb62abfb2c25f5aab0812fa4,Image Inspired Poetry Generation in XiaoIce,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+468322e98f87a33d926aad99295acc2919b2ca0b,Wally: crowd powered image matching on tablets,India,India,India,20.59368400,78.96288000,edu,

 46072f872eee3413f9d05482be6446f6b96b6c09,Trace Quotient Problems Revisited,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 46072f872eee3413f9d05482be6446f6b96b6c09,Trace Quotient Problems Revisited,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 46f32991ebb6235509a6d297928947a8c483f29e,Recognizing Expression Variant Faces from a Single Sample Image per Class,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

@@ -6103,15 +7436,19 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 468c8f09d2ad8b558b65d11ec5ad49208c4da2f2,MSR-CNN: Applying motion salient region based descriptors for action recognition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 4641986af5fc8836b2c883ea1a65278d58fe4577,Scene Graph Generation by Iterative Message Passing,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4641986af5fc8836b2c883ea1a65278d58fe4577,Scene Graph Generation by Iterative Message Passing,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+46f5bb35ea99c62320199b1f0924a4e7c0b001d3,Perspective-Aware CNN For Crowd Counting,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4,3D facial geometric features for constrained local model,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 4699af09d3d52f9a97d13f5690bcbf580959d3cf,YOLOv 3 : An Incremental Improvement,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 464b3f0824fc1c3a9eaf721ce2db1b7dfe7cb05a,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 464b3f0824fc1c3a9eaf721ce2db1b7dfe7cb05a,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 466f80b066215e85da63e6f30e276f1a9d7c843b,Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

+46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,India,India,India,20.59368400,78.96288000,edu,

+46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,India,India,India,20.59368400,78.96288000,edu,

 4696031ddcdfab8b768817fd974b601b6b68c7f1,3D Pose Estimation from a Single Monocular Image,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 46d7f41189c5e262df9ad1165d5a40d2b685bb0f,Discriminative Multiple Target Tracking,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 46d7f41189c5e262df9ad1165d5a40d2b685bb0f,Discriminative Multiple Target Tracking,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 46ed9623dae7b237b15f0c19d11664b979499302,Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+46d0a519da10160a20a3070cc53e5b9401066526,Incremental Learning of Random Forests for Large-Scale Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 465c34c3334f29de28f973b7702a235509649429,Stereopsis via deep learning,University of Frankfurt,University of Frankfurt,"Frankfurt University of Applied Sciences, Kleiststraße, Nordend West, Frankfurt, Regierungsbezirk Darmstadt, Hessen, 60318, Deutschland",50.13053055,8.69234224,edu,

 469592d1fecd776ce4cab2d004e4ada2f2d75f70,3D Facial Landmark Localization Using Combinatorial Search and Shape Regression,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 46773c8a2fa5012f7b3e16b44214de0da3f68859,DisturbLabel: Regularizing CNN on the Loss Layer,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

@@ -6123,16 +7460,21 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 46149723fef89d3b04019b4f62e4c0ceff7c76a0,Diagnostics in Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 466184b10fb7ce9857e6b5bd6b4e5003e09a0b16,Extended Grassmann Kernels for Subspace-Based Learning,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 466184b10fb7ce9857e6b5bd6b4e5003e09a0b16,Extended Grassmann Kernels for Subspace-Based Learning,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 46a70d4020609c175bfc9f19e99aebd1c8edb20b,Fast Human Pose Estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 46a70d4020609c175bfc9f19e99aebd1c8edb20b,Fast Human Pose Estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 46d85e1dc7057bef62647bd9241601e9896a1b02,Improving object proposals with multi-thresholding straddling expansion,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+46d85e1dc7057bef62647bd9241601e9896a1b02,Improving object proposals with multi-thresholding straddling expansion,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 4654dd4741b096c769a4c51194c457f4d8e96c34,Super-resolution Restoration of Facial Images in Video,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 46ee0288c382c7af7fa4f3a5e3c74d60a12c519a,Memory Based Online Learning of Deep Representations from Video Streams,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 464cd3c5f0e9a05dd685a7b71fe88b913da520b4,Increasing CNN Robustness to Occlusions by Reducing Filter Support,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 464cd3c5f0e9a05dd685a7b71fe88b913da520b4,Increasing CNN Robustness to Occlusions by Reducing Filter Support,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 4657d87aebd652a5920ed255dca993353575f441,1 Image Normalization for Illumination Compensation in Facial Images,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4,Machine Understanding of Human Behavior,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,

 3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4,Machine Understanding of Human Behavior,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4,Machine Understanding of Human Behavior,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

@@ -6143,25 +7485,36 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 3ab0b3c02f4fa7f1d14315599f4f91563ae565f8,Canonical Time Warping for Alignment of Human Behavior,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 3ab0b3c02f4fa7f1d14315599f4f91563ae565f8,Canonical Time Warping for Alignment of Human Behavior,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,

 3a2d3514b5cdccdb4c13aadb3929f3a78c03f020,"Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges",University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

+3a2d3514b5cdccdb4c13aadb3929f3a78c03f020,"Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges","Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu,

 3a6ebdfb6375093885e846153a48139ef1ecfae6,The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 3a2cf589f5e11ca886417b72c2592975ff1d8472,Spontaneously Emerging Object Part Segmentation,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,

 3a2cf589f5e11ca886417b72c2592975ff1d8472,Spontaneously Emerging Object Part Segmentation,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,

+3a4c70ca0bbd461fe2e4de3448a01f06c0217459,Accurate Vision-based Vehicle Localization using Satellite Imagery,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 3a387304d18f2786ee83804bd38efecc2a5fd323,Person Re-Identification Using Multiple Experts with Random Subspaces,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 3a34c622c1af4b181e99d4a58f7870314944d2c4,1 3 D View-Invariant Face Recognition Using a Hierarchical Pose-Normalization Strategy,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 3a95bfa1d4a989b162e07fa69b85cb6d31a674ab,Linear Ranking Analysis,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

-3aec4e2f04ae7b1d61bee6c98c4e01f6964cc322,Visual-Inertial Object Detection and Mapping,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+3a95bfa1d4a989b162e07fa69b85cb6d31a674ab,Linear Ranking Analysis,China,China,China,35.86166000,104.19539700,edu,

+3aec4e2f04ae7b1d61bee6c98c4e01f6964cc322,Visual-Inertial Object Detection and Mapping,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3a2a37ca2bdc82bba4c8e80b45d9f038fe697c7d,Handling Uncertain Tags in Visual Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 3a7d8766e6a1e3f19ccd4d98ded40e01ddc6ca6f,A feature-based structural measure : an image similarity measure for face recognition,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2,End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

+3a564db6701cc64a4bf336e6012ada0952fed02d,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu,

+3a564db6701cc64a4bf336e6012ada0952fed02d,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu,

 3ad2b6c283b1c4687c4f782efb64a209d3cf4cfe,Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 3ad2b6c283b1c4687c4f782efb64a209d3cf4cfe,Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+3a95eea0543cf05670e9ae28092a114e3dc3ab5c,Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3aee6a6285869e6db48ad269eb110b542ad23c93,One-Click Annotation with Guided Hierarchical Object Detection,India,India,India,20.59368400,78.96288000,edu,

 3a3a4408432408b62e2dc22de7820a5a2f7bbe9e,No Spare Parts: Sharing Part Detectors for Image Categorization,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,

 3a3a4408432408b62e2dc22de7820a5a2f7bbe9e,No Spare Parts: Sharing Part Detectors for Image Categorization,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 3ac0aefb379dedae4a6054e649e98698b3e5fb82,An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 3ab93fe26a46f8bc0999e68af71a0907a63a5e65,ESTHER: Extremely Simple Image Translation Through Self-Regularization,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,

-3a4a908350d856577ac48caec10c0809e8396acf,"Zero-effort payments: design, deployment, and lessons",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3a4a908350d856577ac48caec10c0809e8396acf,"Zero-effort payments: design, deployment, and lessons",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+3abfd884d553f91cd6c9c8b704bbeb9b49d171d3,A Hybrid Color Space for Skin Detection Using Genetic Algorithm Heuristic Search and Principal Component Analysis Technique,"Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Balai Cerap UTM, Lengkok Suria, 81310 Skudai, Johor, Malaysia",1.55841230,103.64050410,edu,

 3a345ab83d1bfe4a63d3d44bc4ed243e10255a59,JOANNEUM RESEARCH and Vienna University of Technology at TRECVID 2010,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu,

 3a5f5aca6138abcf22ede1af5572e01eb0f761d1,Optimizing Multivariate Performance Measures from Multi-View Data,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+3aa98c08043558fec09bbf731cd7a8f09cf4eacf,Projective Nonnegative Matrix Factorization with α-Divergence,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 3ad9f6c1d10a2d1e86c93a4182ee3b260a6f3edd,Object Detection and Tracking in Wide Area Surveillance Using Thermal Imagery,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 3a0ea368d7606030a94eb5527a12e6789f727994,Categorization by Learning and Combining Object Parts,University of Siena,University of Siena,"大學 University, 澤祥街 Chak Cheung Street, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.41338620,114.21005800,edu,

 3aabf747de0a0b4953cb594ddd17ed82fced1ff9,Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

@@ -6169,6 +7522,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 3af8d38469fb21368ee947d53746ea68cd64eeae,Multimodal Intelligent Affect Detection with Kinect ( Doctoral Consortium ),Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 3af8d38469fb21368ee947d53746ea68cd64eeae,Multimodal Intelligent Affect Detection with Kinect ( Doctoral Consortium ),Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 3a27d164e931c422d16481916a2fa6401b74bcef,Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+3a92a00b41dc6217f7685148c8a378524fa1a542,Human Pose Estimation Using Exemplars and Part Based Refinement,China,China,China,35.86166000,104.19539700,edu,

 3a40059e9dc4b19ae7f49b8746d8dda22456767f,Geometry-Aware Face Completion and Editing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 3a55188f8ee3abe6d179d16984885be6e3b6daf5,Learning Cross-Modal Deep Representations for Robust Pedestrian Detection,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 3a55188f8ee3abe6d179d16984885be6e3b6daf5,Learning Cross-Modal Deep Representations for Robust Pedestrian Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -6179,6 +7533,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 3ada7640b1c525056e6fcd37eea26cd638815cd6,Abnormal Object Recognition: A Comprehensive Study,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 3ada7640b1c525056e6fcd37eea26cd638815cd6,Abnormal Object Recognition: A Comprehensive Study,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 3a1c3307f57ef09577ac0dc8cd8b090a4fe8091f,Thermal-to-visible face recognition using partial least squares.,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+3af16b0c1265cc9c8969f9c16ce65185297a2bfc,Regularizing Deep Networks by Modeling and Predicting Label Structure,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 3a888bf996bcac3feb7e130543df9ec8287db515,End-to-End Learning of Driving Models from Large-Scale Video Datasets,"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,

 3a307b7e2e742dd71b6d1ca7fde7454f9ebd2811,Bilinear CNN Models for Fine-Grained Visual Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 3ac78d0fd4f0c01650277bb25eab6957d4eeb655,Multimodal Memory Modelling for Video Captioning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -6191,25 +7546,36 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down
 3aa0c5c5cb5faf3c9f3c4694bf5f486d1ea0e351,Easytoon: an easy and quick tool to personalize a cartoon storyboard using family photo album,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3aa0c5c5cb5faf3c9f3c4694bf5f486d1ea0e351,Easytoon: an easy and quick tool to personalize a cartoon storyboard using family photo album,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 3aea679168c72c6df7ead45d4f7f1fd7f3680a11,Towards Accurate Multi-person Pose Estimation in the Wild,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

+3ac09c2589178dac0b6a2ea2edf04b7629672d81,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3a4779f3f73d2ebfaccbc0dad0bdbf7ac0570c0d,Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs,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,

 3a53bad58f8467092477857ff9c2ae904d7108d2,Simultaneous perceptual and response biases on sequential face attractiveness judgments.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 3a53bad58f8467092477857ff9c2ae904d7108d2,Simultaneous perceptual and response biases on sequential face attractiveness judgments.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,China,China,China,35.86166000,104.19539700,edu,

 b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,China,China,China,35.86166000,104.19539700,edu,

 b56e4f61bfd6da098941d2aee8a3ab1221ce834a,Augmented Reality Meets Deep Learning for Car Instance Segmentation in Urban Scenes,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 b5184bd428b9a89255900dce50b4320741706744,Discovering Disentangled Representations with the F Statistic Loss,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu,

 b59df3832c3914c9aefc7f11017360a24bd11480,Identifying First-Person Camera Wearers in Third-Person Videos,Indiana University Bloomington,Indiana University Bloomington,"Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA",39.17720475,-86.51540030,edu,

 b59df3832c3914c9aefc7f11017360a24bd11480,Identifying First-Person Camera Wearers in Third-Person Videos,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

+b501361ad3ad4f78a3966830a40d2b4f68466c80,Night-time Vehicle Detection for Automatic Headlight Beam Control,India,India,India,20.59368400,78.96288000,edu,

 b5e3beb791cc17cdaf131d5cca6ceb796226d832,Novel Dataset for Fine-Grained Image Categorization : Stanford Dogs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 b5c945e04cdf204358e7964290867b38435ef458,Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 b5968e7bb23f5f03213178c22fd2e47af3afa04c,Multiple-Human Parsing in the Wild,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 b5968e7bb23f5f03213178c22fd2e47af3afa04c,Multiple-Human Parsing in the Wild,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 b5b620774304e6245a660b14c1207386d3abad17,SketchNet: Sketch Classification with Web Images,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 b5b620774304e6245a660b14c1207386d3abad17,SketchNet: Sketch Classification with Web Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+b54c477885d53a27039c81f028e710ca54c83f11,Semi-Supervised Kernel Mean Shift Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b56530be665b0e65933adec4cc5ed05840c37fc4,Reducing correspondence ambiguity in loosely labeled training data,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu,

+b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu,

+b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu,

+b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu,

+b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu,

+b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu,

 b5354bcad6c11983f9614546371262c454c994ed,MAXIMUM SIMILARITY BASED FEATURE MATCHING AND ADAPTIVE MULTIPLE KERNEL LEARNING FOR OBJECT RECOGNITION,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 b5354bcad6c11983f9614546371262c454c994ed,MAXIMUM SIMILARITY BASED FEATURE MATCHING AND ADAPTIVE MULTIPLE KERNEL LEARNING FOR OBJECT RECOGNITION,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 b5c749f98710c19b6c41062c60fb605e1ef4312a,Evaluating Two-Stream CNN for Video Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+b54f15a02d8454333ca7dbca665f7712572b56e0,Role Playing Learning for Socially Concomitant Mobile Robot Navigation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b56ffd4b244b2c3094cdb930ee569fb4e3bd95f0,SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 b56ffd4b244b2c3094cdb930ee569fb4e3bd95f0,SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 b51b4ef97238940aaa4f43b20a861eaf66f67253,Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions,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,

@@ -6222,10 +7588,16 @@ b5930275813a7e7a1510035a58dd7ba7612943bc,Face Recognition Using L-Fisherfaces,Sh
 b593f13f974cf444a5781bbd487e1c69e056a1f7,Query Image Query Image Retrievals Retrievals Transferred Poses Transferred Poses,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,

 b5da4943c348a6b4c934c2ea7330afaf1d655e79,Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 b5da4943c348a6b4c934c2ea7330afaf1d655e79,Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu,

+b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu,

+b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu,

 b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

+b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu,

 b56f3a7c50bfcd113d0ba84e6aa41189e262d7ae,Harvesting Motion Patterns in Still Images from the Internet,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 b59cee1f647737ec3296ccb3daa25c890359c307,Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 b53259a81dcfa9913495bb47f62627c51e20f086,DYAN: A Dynamical Atoms-Based Network for Video Prediction,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 b5bd67ada6de799d96f65ef0f1b6ba1cb85e3dd8,Residual Codean Autoencoder for Facial Attribute Analysis,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

 b5ebfb763053d3a66e6a4f36ed443dc4ab5ac877,Unsupervised Learning of Important Objects from First-Person Videos,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 b5d7c5aba7b1ededdf61700ca9d8591c65e84e88,Data Pruning for Template-based Automatic Speech Recognition,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu,

@@ -6234,25 +7606,39 @@ b52c0faba5e1dc578a3c32a7f5cfb6fb87be06ad,Robust Face Recognition Technique under
 b59c8b44a568587bc1b61d130f0ca2f7a2ae3b88,An Enhanced Intelligent Agent with Image Description Generation,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 b5c90dc06b63099c3d35c86c97fa24ebf9d41fb6,Learning to Classify Psychiatric Disorders based on fMR Images : Autism vs Healthy and ADHD vs Healthy,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 b5c90dc06b63099c3d35c86c97fa24ebf9d41fb6,Learning to Classify Psychiatric Disorders based on fMR Images : Autism vs Healthy and ADHD vs Healthy,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

+b5050d74dd8f0384506bcd365b31044c80d476c0,Discriminative Multimetric Learning for Kinship Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b5f2846a506fc417e7da43f6a7679146d99c5e96,UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 b5fabc72ecdebd832fb02f1ea2e85672f2ef125e,Bregman Divergences for Infinite Dimensional Covariance Matrices,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+b5fabc72ecdebd832fb02f1ea2e85672f2ef125e,Bregman Divergences for Infinite Dimensional Covariance Matrices,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 b5402c03a02b059b76be829330d38db8e921e4b5,Hybridized KNN and SVM for gene expression data classification,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu,

+b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,India,India,India,20.59368400,78.96288000,edu,

+b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,India,India,India,20.59368400,78.96288000,edu,

 d7ebd31d4616c297292a36785727f1bc5b470290,Sensitivity to eye gaze in autism: is it normal? Is it automatic? Is it social?,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 d75a9e646500d543094f7c0ab80c9f5c30808304,Features for Multi-Target Multi-Camera Tracking and Re-Identification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 d7a042c4db29e233861bc556fd763ca608ae078c,Multi-view object instance recognition in an industrial context,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 d7221695df4de3f34d5e4a877b71c14bc88760d2,Proposal Incorporating Structural Bias into Neural Networks,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,

+d7d90d768c4770c356901f20077af9ad27efdfd0,Real-time dense map fusion for stereo SLAM,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu,

 d78fbd11f12cbc194e8ede761d292dc2c02d38a2,Enhancing Gray Scale Images for Face Detection under Unstable Lighting Condition,University of Dschang,University of Dschang,"Université de Dschang, Départementale 65, Fokoué, Menoua, OU, Cameroun",5.44094480,10.07120561,edu,

 d78fbd11f12cbc194e8ede761d292dc2c02d38a2,Enhancing Gray Scale Images for Face Detection under Unstable Lighting Condition,University of Dschang,University of Dschang,"Université de Dschang, Départementale 65, Fokoué, Menoua, OU, Cameroun",5.44094480,10.07120561,edu,

+d7453fa0c70a15681e76b509fff6e1dd49f5a4a5,Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks,India,India,India,20.59368400,78.96288000,edu,

+d7fe2a52d0ad915b78330340a8111e0b5a66513a,Photo-to-Caricature Translation on Faces in the Wild,China,China,China,35.86166000,104.19539700,edu,

 d73d2c9a6cef79052f9236e825058d5d9cdc1321,Cutting the visual world into bigger slices for improved video concept detection. (Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel),EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 d7ed61f57d26c192a75d088854d937d549efa37c,A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 d737b6f014301182e05738eac94fb97ff6a65da0,SEGCloud: Semantic Segmentation of 3D Point Clouds,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d7c9bd2587204071b87feaad01d631e7ea591c6b,TRECVID 2017 : VIDEO TO TEXT RETRIEVAL,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,

 d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,China,China,China,35.86166000,104.19539700,edu,

+d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,China,China,China,35.86166000,104.19539700,edu,

 d74e14de664be4b784813d93e260abe379e2602d,Supplementary Material for : Video Prediction with Appearance and Motion Conditions,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+d7731565ec4cb1b910290ccb580405cb55224286,Robust Face Recognition via Adaptive Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu,

+d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu,

 d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f,Automating Image Analysis by Annotating Landmarks with Deep Neural Networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f,Automating Image Analysis by Annotating Landmarks with Deep Neural Networks,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu,

+d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,China,China,China,35.86166000,104.19539700,edu,

 d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

+d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,China,China,China,35.86166000,104.19539700,edu,

 d7431a266a151fb92abb7ff93fd458f21c6c3c41,Probabilistic sequence models for image sequence processing and recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 d7f11ebb73bfe74a57c33f7e75f7981ad9385580,Real-Time Resource Allocation for Tracking Systems,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,

 d7f11ebb73bfe74a57c33f7e75f7981ad9385580,Real-Time Resource Allocation for Tracking Systems,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -6274,11 +7660,13 @@ d7d01406bf8bec7e48b70e886d93e935b8885815,The perception of emotion in artificial
 d7d01406bf8bec7e48b70e886d93e935b8885815,The perception of emotion in artificial agents,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 d79365336115661b0e8dbbcd4b2aa1f504b91af6,Variational methods for conditional multimodal deep learning,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 d7184f6cd7751fb8398bb06d04490d2bcb74cdff,Disparity and optical flow partitioning using extended Potts priors,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+d79121a03584123fad02c4f2607f0e63d08ff7c2,Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions,China,China,China,35.86166000,104.19539700,edu,

 d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation for pattern classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 22f94c43dd8b203f073f782d91e701108909690b,MovieScope : Movie trailer classification using Deep Neural Networks,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9,MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 2231f44be9a8472a46d8e8a628b4e52b9a8f44e0,Visual Dialog,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 22fe619996b59c09cb73be40103a123d2e328111,The German Traffic Sign Recognition Benchmark: A multi-class classification competition,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu,

@@ -6293,7 +7681,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 220377caca34bed8a0081d48d153aecc11c211e1,Spectral-Pruning: Compressing deep neural network via spectral analysis,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

-222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 22a12ec4258f223b43761e5c4729787d1aaa623b,Optimal Bloom Filters and Adaptive Merging for LSM-Trees,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 22a12ec4258f223b43761e5c4729787d1aaa623b,Optimal Bloom Filters and Adaptive Merging for LSM-Trees,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -6303,6 +7691,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 22267d537cbaed08c2005c42f251bb6097aa1505,Hierarchical Grid-based People Tracking with Multi-camera Setup,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 22717ad3ad1dfcbb0fd2f866da63abbde9af0b09,A Learning-based Control Architecture for Socially Assistive Robots Providing Cognitive Interventions,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 22f2f77120cd28e9b2516179239380adef46b1be,Discovering Object Functionality,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+220f6ef6f4bf4729871822e08080142359012e10,IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD,India,India,India,20.59368400,78.96288000,edu,

 220f6ef6f4bf4729871822e08080142359012e10,IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

 22dc91889312e796ad36b363bc5ed959714e4694,Deep Di erential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 22dc91889312e796ad36b363bc5ed959714e4694,Deep Di erential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

@@ -6317,6 +7706,9 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 22f71559c88fe32b405a6fedf7ee099c32d9377e,Causal and compositional generative models in online perception,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 22f71559c88fe32b405a6fedf7ee099c32d9377e,Causal and compositional generative models in online perception,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

 22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b,A Database for Person Re-Identification in Multi-Camera Surveillance Networks,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b,A Database for Person Re-Identification in Multi-Camera Surveillance Networks,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

+220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,India,India,India,20.59368400,78.96288000,edu,

+220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,India,India,India,20.59368400,78.96288000,edu,

 22f21a5b230d6bcc2c4ab4e4d5ae57a20f09f348,How do we use our hands? Discovering a diverse set of common grasps,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,

 22bc12fb82db4c5a5f52bd1ba70e25ffac94f428,Transfer learning for object category detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 22f21d58c6aecdb4f57c50fa9eb4952643eec0e9,Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

@@ -6324,7 +7716,9 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 22f44121a6de3ff942c5fbf4ab1d6734315baf66,Sensor-assisted facial recognition: an enhanced biometric authentication system for smartphones,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 22f44121a6de3ff942c5fbf4ab1d6734315baf66,Sensor-assisted facial recognition: an enhanced biometric authentication system for smartphones,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 22143664860c6356d3de3556ddebe3652f9c912a,Facial Expression Recognition for Human-Robot Interaction - A Prototype,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+224868cc607dc38b7eca8536018580c577f9fedf,Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 227cef669b362a7756564519be22c7d060348f66,Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+227cef669b362a7756564519be22c7d060348f66,Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 221c9fff1c25368a6b72ca679c67a3d6b35e2c00,Memory-based face recognition for visitor identification,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,

 2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb,Top-Down Neural Attention by Excitation Backprop,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 22c169fa05a0d5710bc111e451161e9d9141c29d,A Novel Inference of a Restricted Boltzmann Machine,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

@@ -6339,9 +7733,23 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 221c18238b829c12b911706947ab38fd017acef7,A Richly Annotated Dataset for Pedestrian Attribute Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 221c18238b829c12b911706947ab38fd017acef7,A Richly Annotated Dataset for Pedestrian Attribute Recognition,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 2288696b6558b7397bdebe3aed77bedec7b9c0a9,Action Recognition with Joint Attention on Multi-Level Deep Features,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+2288696b6558b7397bdebe3aed77bedec7b9c0a9,Action Recognition with Joint Attention on Multi-Level Deep Features,China,China,China,35.86166000,104.19539700,edu,

 22493d8d4d7b4604cae23638dce4981b36e30147,Learning an Image-Based Motion Context for Multiple People Tracking,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 2297ead8a0000dab33ebc73b7d5781b3258322b6,Classifying and Visualizing Emotions with Emotional DAN,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 2227f978f084ebb18cb594c0cfaf124b0df6bf95,Pillar Networks for action recognition,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,

+2236294e803316c5934fa387f27d128fa7819a03,Iterative Human Pose Estimation based on A New Part Appearance Model,China,China,China,35.86166000,104.19539700,edu,

 228c28bd18a2d58cd771a75e8718b14dc32051e0,An effective neutrosophic set-based preprocessing method for face recognition,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu,

 2271d554787fdad561fafc6e9f742eea94d35518,Multimodale Mensch-Roboter-Interaktion für Ambient Assisted Living,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 2281d8282dc6315eaa5c31821310c1a349ea18b0,Fast Efficient Object Detection Using Selective Attention,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu,

@@ -6350,12 +7758,23 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 2281d8282dc6315eaa5c31821310c1a349ea18b0,Fast Efficient Object Detection Using Selective Attention,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 221252be5d5be3b3e53b3bbbe7a9930d9d8cad69,Do We Need More Training Data or Better Models for Object Detection?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 22a5c5b366e56339b34a66ce2a4a106592656e40,A model of dynamic compilation for heterogeneous compute platforms,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+22029de24dbf6867658145264f36b161c40a09d8,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 228db5326a10cd67605ce103a7948207a65feeb1,Stacked Attention Networks for Image Question Answering,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,

 7c62f5e4a62758f44bd98f087f92b6b6b1f2043b,Combination features and models for human detection,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 7cf001f745f3020dfc75cc34352d5bc71e552093,"The more you learn , the less you store : memory-controlled incremental support vector machines",IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,China,China,China,35.86166000,104.19539700,edu,

+7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,China,China,China,35.86166000,104.19539700,edu,

 7c2c9b083817f7a779d819afee383599d2e97ed8,"Disentangling Motion, Foreground and Background Features in Videos",Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+7c2c9b083817f7a779d819afee383599d2e97ed8,"Disentangling Motion, Foreground and Background Features in Videos",China,China,China,35.86166000,104.19539700,edu,

 7c2c9b083817f7a779d819afee383599d2e97ed8,"Disentangling Motion, Foreground and Background Features in Videos",Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 7c9f884137a22c3bb5cefcd7dfc55e3a83979771,Person tracking-by-detection with efficient selection of part-detectors,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,China,China,China,35.86166000,104.19539700,edu,

+7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,China,China,China,35.86166000,104.19539700,edu,

+7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,China,China,China,35.86166000,104.19539700,edu,

 7c36afc9828379de97f226e131390af719dbc18d,Unsupervised face-name association via commute distance,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 7c36afc9828379de97f226e131390af719dbc18d,Unsupervised face-name association via commute distance,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 7c7fb5c70bdabe8442c46c791fb2db00c490410b,Human Face Recognition using Gabor Based Kernel Entropy Component Analysis,"Indian Statistical Institute, Kolkata","Indian Statistical Institute, Kolkata","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu,

@@ -6369,22 +7788,31 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 7ca08c7a1b61258a8f36435be7a96abde64be081,Focal Visual-Text Attention for Visual Question Answering,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,

 7c5dde400571fd357d1093e1829a8bd7917d8fcd,Retrospective Higher-Order Markov Processes for User Trails,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 7c5dde400571fd357d1093e1829a8bd7917d8fcd,Retrospective Higher-Order Markov Processes for User Trails,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,India,India,India,20.59368400,78.96288000,edu,

+7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,India,India,India,20.59368400,78.96288000,edu,

 7c02a578734af8008177bb3f27549198b2503178,Segmenting video into classes of algorithm-suitability,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 7c87f445a15597f603756587e0f9b8cf4d942ecc,Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience,University of Oulu,University 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,

 7cdd8c0f3c672000506696a6f8b96b9a99e778ae,Video Monitoring and Analysis of Human Behavior for Diagnosis of Obstructive Sleep Apnoea,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu,

 7c4b406159e0bd41cf97a1094ae6b44937de477a,Robust Active Appearance Models with Iteratively Rescaled Kernels,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 7cf0e702d0682b12af38e8a478ffa6e7d8d6eaef,Semi-Automatic Image Annotation Using Event and Torso Identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 7cf0e702d0682b12af38e8a478ffa6e7d8d6eaef,Semi-Automatic Image Annotation Using Event and Torso Identification,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

+7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 7cab6a3247f56e0e2fc38133ea0fb89c48dadda7,Spatiotemporal Modeling for Crowd Counting in Videos,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 7c9622ad1d8971cd74cc9e838753911fe27ccac4,Representation Learning with Smooth Autoencoder,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 7ca7255c2e0c86e4adddbbff2ce74f36b1dc522d,Stereo Matching for Unconstrained Face Recognition Ph . D . Proposal,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb,Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb,Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

+7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb,Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection,China,China,China,35.86166000,104.19539700,edu,

+7c0a6824b556696ad7bdc6623d742687655852db,MPCA+MDA: A novel approach for face recognition based on tensor objects,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7c1db13ae2c62d1f860fd2664885c9c93a28cab8,Multistage Particle Windows for Fast and Accurate Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7c0da0fe4d2f29b901d9edd74b2dc753e68abccd,Centering SVDD for Unsupervised Feature Representation in Object Classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 7c428ce264662bceae0b78f915d4d4797a2492f2,Transductive Unbiased Embedding for Zero-Shot Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 7c428ce264662bceae0b78f915d4d4797a2492f2,Transductive Unbiased Embedding for Zero-Shot Learning,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

@@ -6396,18 +7824,23 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 7c132e0a2b7e13c78784287af38ad74378da31e5,Salient Parts based Multi-people Tracking,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 7cd3062284a9f93df05cb11161d16114be945a5b,Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation,University of Oulu,University 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,

 7cd097f3866d56114c1778c0d9ac1c4a9a35cff9,MODELLING MULTI-OBJECT ACTIVITY BY GAUSSIAN PROCESSES 3 2 Activity Modelling and Anomaly Detection 2 . 1 Activity Representation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+7cd5d849212c294c452be009ff465ca7d3d923c8,A Brief Survey of Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu,

 7c45339253841b6f0efb28c75f2c898c79dfd038,Unsupervised Joint Alignment of Complex Images,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

+7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,China,China,China,35.86166000,104.19539700,edu,

 7c0bd7ce51c62671d5ffc1506786b0b7861ce00a,Utility-based acceleration of multithreaded applications on asymmetric CMPs,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 7c0bd7ce51c62671d5ffc1506786b0b7861ce00a,Utility-based acceleration of multithreaded applications on asymmetric CMPs,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,

 7cd5d7f8295b219b029a4231ae5cffb261e00ebe,Early Active Learning with Pairwise Constraint for Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 7cd5d7f8295b219b029a4231ae5cffb261e00ebe,Early Active Learning with Pairwise Constraint for Person Re-identification,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,

 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

+7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,India,India,India,20.59368400,78.96288000,edu,

 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu,

 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,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,

 7c2ec6f4ab3eae86e0c1b4f586e9c158fb1d719d,Dissimilarity-Based Classifications in Eigenspaces,Myongji University,Myongji University,"명지대, 금학로, 역북동, 처인구, 용인시, 경기, 17144, 대한민국",37.23810230,127.19034310,edu,

 7c953868cd51f596300c8231192d57c9c514ae17,Detecting and Aligning Faces by Image Retrieval,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

-7c7ab59a82b766929defd7146fd039b89d67e984,Improving multiview face detection with multi-task deep convolutional neural networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+7c7ab59a82b766929defd7146fd039b89d67e984,Improving multiview face detection with multi-task deep convolutional neural networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+7cee802e083c5e1731ee50e731f23c9b12da7d36,2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks,India,India,India,20.59368400,78.96288000,edu,

 7cf8a841aad5b7bdbea46a7bb820790e9ce12d0b,SUPERVISED HEAT KERNEL LPP METHOD FOR FACE RECOGNITION,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu,

 7c81338ed0f8c6354c27cafe873b58ae7be76d19,Depth Information Guided Crowd Counting for Complex Crowd Scenes.,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu,

 7c81338ed0f8c6354c27cafe873b58ae7be76d19,Depth Information Guided Crowd Counting for Complex Crowd Scenes.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -6420,10 +7853,15 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 7c622df16f06d9f1c1af7262e91c54906e1b7e0e,Locating Facial Features and Pose Estimation Using a 3D Shape Model,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 7cb5a4b88235250424e4b7450e22140dac9ba535,Motion Segmentation by Exploiting Complementary Geometric Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 7cb5a4b88235250424e4b7450e22140dac9ba535,Motion Segmentation by Exploiting Complementary Geometric Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,India,India,India,20.59368400,78.96288000,edu,

+7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,India,India,India,20.59368400,78.96288000,edu,

+7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,India,India,India,20.59368400,78.96288000,edu,

 7cf95b9923e741eed2c7988d7321fa1044415d57,Face Hallucination and Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 7c825562b3ff4683ed049a372cb6807abb09af2a,Finding Tiny Faces Supplementary Materials,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 7c825562b3ff4683ed049a372cb6807abb09af2a,Finding Tiny Faces Supplementary Materials,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,

 51f5e7b847e65a4cd0634ed9efc6b19819742b70,End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+51f5e7b847e65a4cd0634ed9efc6b19819742b70,End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu,

+51f5e7b847e65a4cd0634ed9efc6b19819742b70,End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu,

 517e5e6d8e17511fd74fc58ef53bdd57bb7b4651,TallyQA: Answering Complex Counting Questions,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 51faacfa4fb1e6aa252c6970e85ff35c5719f4ff,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 51faacfa4fb1e6aa252c6970e85ff35c5719f4ff,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -6433,16 +7871,21 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 5191781bbfe562cfee0c57675a9fbe79a85473b9,Face Flow,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,

 51cb2116c5a32d076f54b1a192cf4e850390f665,On Machine Learning and Structure for Mobile Robots,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 519a724426b5d9ad384d38aaf2a4632d3824f243,Learning Models for Object Recognition from Natural Language Descriptions,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu,

+519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 516668a41d6106232a7cd56d20d3b3da343e5f36,Predicting Deeper into the Future of Semantic Segmentation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

+513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b,Efficient Processing of Deep Neural Networks: A Tutorial and Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 51972609a7c0070bf517c29f108f3e7240b94e59,3D extended histogram of oriented gradients (3DHOG) for classification of road users in urban scenes,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 51d048b92f6680aca4a8adf07deb380c0916c808,"State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 51d048b92f6680aca4a8adf07deb380c0916c808,"State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+51d048b92f6680aca4a8adf07deb380c0916c808,"State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications",Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 51e9630e2d3f353d43834d06ef5b75fbccf0243a,Random Forests of Local Experts for Pedestrian Detection,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 51eba481dac6b229a7490f650dff7b17ce05df73,Situation Recognition: Visual Semantic Role Labeling for Image Understanding,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 51cb09ee04831b95ae02e1bee9b451f8ac4526e3,Beyond short snippets: Deep networks for video classification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 51cb09ee04831b95ae02e1bee9b451f8ac4526e3,Beyond short snippets: Deep networks for video classification,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 51cb09ee04831b95ae02e1bee9b451f8ac4526e3,Beyond short snippets: Deep networks for video classification,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

 512b4c8f0f3fb23445c0c2dab768bcd848fa8392,Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model,University of Tabriz,University of Tabriz,"دانشگاه تبریز, شهید ایرج خلوتی, کوی انقلاب, تبریز, بخش مرکزی, شهرستان تبریز, استان آذربایجان شرقی, 5166616471, ‏ایران‎",38.06125530,46.32984840,edu,

+512b4c8f0f3fb23445c0c2dab768bcd848fa8392,Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model,Tarbiat Modarres University,"Tarbiat Modarres University, Tehran, Iran","Tehran Province, Tehran, Al Ahmad Street, No. 7، Jalal، Iran",35.72324230,51.38401980,edu,

 512f7507034e35d7259845bc5e4e174ef2f652cf,SPIGAN: Privileged Adversarial Learning from Simulation,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu,

 512f7507034e35d7259845bc5e4e174ef2f652cf,SPIGAN: Privileged Adversarial Learning from Simulation,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu,

 512f7507034e35d7259845bc5e4e174ef2f652cf,SPIGAN: Privileged Adversarial Learning from Simulation,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu,

@@ -6457,7 +7900,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 516d0d9eb08825809e4618ca73a0697137ebabd5,Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 5147c249aadf9dd20d24a025995e79f5d6e4e5f4,Systems Analysis of the WEKA Machine Learning Workbench for Affective Computing,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu,

-5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

+5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,China,China,China,35.86166000,104.19539700,edu,

 5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 51ed4c92cab9336a2ac41fa8e0293c2f5f9bf3b6,"A survey of face detection, extraction and recognition",Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

@@ -6465,6 +7908,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,Kogakuin University,Kogakuin University,"工学院大学, 東通り, 新宿区, 東京都, 関東地方, 163-8677, 日本",35.69027840,139.69540096,edu,

 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

+519db7bb7d1778bddfbe3725220756627373d69a,A Comparative Study of Local Matching Approach for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9,Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9,Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog,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,

 510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9,Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

@@ -6478,18 +7922,27 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo
 518edcd112991a1717856841c1a03dd94a250090,Endogenous Sparse Recovery,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu,

 518edcd112991a1717856841c1a03dd94a250090,Endogenous Sparse Recovery,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 516f5becd2b673b349e0232732989e1db6db29b0,Micro-Expression Spotting: A Benchmark,University of Oulu,University 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,

+5157dde17a69f12c51186ffc20a0a6c6847f1a29,Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5173a20304ea7baa6bfe97944a5c7a69ea72530f,Best Basis Selection Method Using Learning Weights for Face Recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

+516a27d5dd06622f872f5ef334313350745eadc3,Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 513b8dc73a9fbc467e1ac130fe8c842b5839ca51,Scalable Visual Navigation for Micro Aerial Vehicles using Geometric Prior Knowledge,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 512ef8e228329e02b651e2963260f569a72b4dde,3D Signatures for Fast 3D Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 51a8dabe4dae157aeffa5e1790702d31368b9161,Face recognition under generic illumination based on harmonic relighting,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 51683eac8bbcd2944f811d9074a74d09d395c7f3,"Automatic Analysis of Facial Actions : Learning from Transductive , Supervised and Unsupervised Frameworks",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,

 51683eac8bbcd2944f811d9074a74d09d395c7f3,"Automatic Analysis of Facial Actions : Learning from Transductive , Supervised and Unsupervised Frameworks",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,

 51683eac8bbcd2944f811d9074a74d09d395c7f3,"Automatic Analysis of Facial Actions : Learning from Transductive , Supervised and Unsupervised Frameworks",Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+5180df9d5eb26283fb737f491623395304d57497,Scalable Angular Discriminative Deep Metric Learning for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 5180df9d5eb26283fb737f491623395304d57497,Scalable Angular Discriminative Deep Metric Learning for Face Recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 51236676c3bba877d82c31b393db1af4846527ac,Improving Sampling from Generative Autoencoders with Markov Chains,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,

+5161e38e4ea716dcfb554ccb88901b3d97778f64,SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 51273a7abfe2018ccf2789a8e25d0c2ae565bc77,Learning Detailed Face Reconstruction from a Single Image,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7,A Community Detection Approach to Cleaning Extremely Large Face Database,China,China,China,35.86166000,104.19539700,edu,

 511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7,A Community Detection Approach to Cleaning Extremely Large Face Database,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 51c765b8d872c206f6dd781ab26bd5a8c2feb81e,Semantic Image Segmentation via Deep Parsing Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5136f69da8a61447a300a50c67d80d84a31b1257,Deep Association Learning for Unsupervised Video Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 5160569ca88171d5fa257582d161e9063c8f898d,Local binary patterns as an image preprocessing for face authentication,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 dd096d3cac4a9f26d38e135f803621d932c84f83,Hallucinating very low-resolution and obscured face images,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

@@ -6497,14 +7950,19 @@ dd7875abad93418e275825116e029766ada9b9c6,Kinect-based automatic 3D high-resoluti
 dd6b6beba7202deb1ceeb241438fdfd48e88b394,Multiple Granularity Descriptors for Fine-Grained Categorization,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 dd609e4bd83cfcdbf64fc794da73a36398076890,Recurrent Human Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 dd609e4bd83cfcdbf64fc794da73a36398076890,Recurrent Human Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+ddbb6e0913ac127004be73e2d4097513a8f02d37,Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,India,India,India,20.59368400,78.96288000,edu,

+dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,India,India,India,20.59368400,78.96288000,edu,

 dddfc10d9649a936cc440c1f3590b14e51a81daa,Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 dd0be14c30714c77421dfe6cba31ed0b523434ae,Reducing Physical-attractiveness bias in hiring decisions : An experimental investigation,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 dd0262d63ab7e2a9ab90478394b9fb56d17ed71c,Triple consistency loss for pairing distributions in GAN-based face synthesis,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+dda1be806ab56ca58187621a0c2e4d2b8ad429ac,Visual Tracking via Spatially Aligned Correlation Filters Network,China,China,China,35.86166000,104.19539700,edu,

 dda1be806ab56ca58187621a0c2e4d2b8ad429ac,Visual Tracking via Spatially Aligned Correlation Filters Network,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 ddf25fe84789821d204fd09026bb02d891d50399,Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 ddb561cbdc1e8d76e88679c115f277effde4db8d,Human-like Clustering with Deep Convolutional Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 ddb561cbdc1e8d76e88679c115f277effde4db8d,Human-like Clustering with Deep Convolutional Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 dd0aef0d44e740580212d6efb5286446494729ba,Multi-feature canonical correlation analysis for face photo-sketch image retrieval,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+dd0aef0d44e740580212d6efb5286446494729ba,Multi-feature canonical correlation analysis for face photo-sketch image retrieval,China,China,China,35.86166000,104.19539700,edu,

 dd0aef0d44e740580212d6efb5286446494729ba,Multi-feature canonical correlation analysis for face photo-sketch image retrieval,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 dd7faa9ebacb64bcf4210c3be76202c592e3d637,"Comparison of Visible, Thermal Infra-Red and Range Images for Face Recognition",University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 dddc2aa21f281148cb22b2cec5635f76ef4e545b,Object Localization with Boosting and Weak Supervision for Generic Object Recognition,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

@@ -6513,8 +7971,11 @@ ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe,Image smoothing via unsupervised learni
 dda0b381c162695f21b8d1149aab22188b3c2bc0,Occluded Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 dda0b381c162695f21b8d1149aab22188b3c2bc0,Occluded Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 dda403e6d9b61e3fa84fafb3aa2f70884d03a944,Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+dd8084b2878ca95d8f14bae73e1072922f0cc5da,"Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification",China,China,China,35.86166000,104.19539700,edu,

 dd197080cf1ed6b453eab09da08cfd48c5ad246f,Audio-Visual Speaker Veri cation using Continuous Fused HMMs,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 dda95e28395324aa87027d9692423b3a6f42dd4a,Improved Multi-Person Tracking with Active Occlusion Handling,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+dda95e28395324aa87027d9692423b3a6f42dd4a,Improved Multi-Person Tracking with Active Occlusion Handling,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+dd5ef2a12753c5c923fa6b8033384db7875acf95,Upper Body Detection and Feature Set Evaluation for Body Pose Classification,"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","7 Avenue du Colonel Roche, 31400 Toulouse, France",43.56334270,1.47686950,edu,

 dd173dc349312810ec45ed4b346190ff2250ddd8,PaDNet: Pan-Density Crowd Counting,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 dd471f321ead8b405da6194057b2778ef3db7ea7,Multi-Task Adversarial Network for Disentangled Feature Learning,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 dda35768681f74dafd02a667dac2e6101926a279,Multi-layer temporal graphical model for head pose estimation in real-world videos,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

@@ -6524,12 +7985,15 @@ ddb27eee407aa7fca166544cf5c2d93c5f0e76ea,Accuracy and speed of material categori
 dd033d4886f2e687b82d893a2c14dae02962ea70,Facial Expression Recognition Using New Feature Extraction Algorithm,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

 dda0fc7d5749737d4248b7c969bce9bb80c33dde,Facial Skin Texture as a Source of Biometric Information,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu,

 dd85b6fdc45bf61f2b3d3d92ce5056c47bd8d335,Unsupervised Learning and Segmentation of Complex Activities from Video,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

+ddf099f0e0631da4a6396a17829160301796151c,Chen et al . Face Quality Value : Input : Feat -‐ 5 Features : L 2 R + PKM Model : Feat -‐,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ddeececa11517bea0d21804e3f724612dac1a5c5,"""Factual"" or ""Emotional"": Stylized Image Captioning with Adaptive Learning and Attention",University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

-ddeececa11517bea0d21804e3f724612dac1a5c5,"""Factual"" or ""Emotional"": Stylized Image Captioning with Adaptive Learning and Attention",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ddeececa11517bea0d21804e3f724612dac1a5c5,"""Factual"" or ""Emotional"": Stylized Image Captioning with Adaptive Learning and Attention",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 dd900526f95079e6532a26d0423357bf8ad43afc,Modeling Image Virality with Pairwise Spatial Transformer Networks,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+dd8d53e67668067fd290eb500d7dfab5b6f730dd,A Parameter-Free Framework for General Supervised Subspace Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dd30d7e32046c333de78a9380ac6b76f4ce307b0,Probabilistic Siamese Network for Learning Representations,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct Face Templates from Match Scores,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 59f83e94a7f52cbb728d434426f6fe85f756259c,An Improved Illumination Normalization Approach based on Wavelet Tranform for Face Recognition from Single Training Image Per Person,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+59f83e94a7f52cbb728d434426f6fe85f756259c,An Improved Illumination Normalization Approach based on Wavelet Tranform for Face Recognition from Single Training Image Per Person,China,China,China,35.86166000,104.19539700,edu,

 59d10820e0a04d2d1acc43bb18a76c52e9946721,Attention to eyes and mouth in high-functioning children with autism.,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 59d10820e0a04d2d1acc43bb18a76c52e9946721,Attention to eyes and mouth in high-functioning children with autism.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 59770c26ff77f17d6386c962c2b0753cac041382,Shared brain activity for aesthetic and moral judgments: implications for the Beauty-is-Good stereotype.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -6538,11 +8002,13 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 59d88030c99de99d18d16dd5ffab7c0bcf6ac58e,Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 5927984db5949852d2df809ce61dbb604c270f48,Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 5927984db5949852d2df809ce61dbb604c270f48,Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+59d66790ac1db459ba78ed0147cde7c66e7ed0c5,Ensemble-based discriminant learning with boosting for face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 59a6c9333c941faf2540979dcfcb5d503a49b91e,Sampling Clustering,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 59b095bdbd4b3f4a8240ad011b1d0b318b526d78,Recognizing and Filtering Web Images Based on People's Existence,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 59824fe429655a2bea2aa0af6258f64107cc7141,Improved Eigenfeature Regularization for Face Identification,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

 59138911e0526dd1d8c5466b2793b6bb02c35ca9,Describing Objects via Attribute Detection,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 59e2037f5079794cb9128c7f0900a568ced14c2a,Clothing and People - A Social Signal Processing Perspective,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

+59e2037f5079794cb9128c7f0900a568ced14c2a,Clothing and People - A Social Signal Processing Perspective,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 5996001b797ab2a0f55d5355cb168f25bfe56bbd,Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second,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,

 59e91bd46492391beadce041806297e856af6ee6,Escaping from Collapsing Modes in a Constrained Space,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 596e414872debe1441b5e40216febe8788df9b35,Spatiotemporal dynamics of similarity-based neural representations of facial identity.,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,

@@ -6551,6 +8017,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 59cee3d54dca04207f57b19c3d1a31402a75c3c3,L1-(2D)2PCANet: A Deep Learning Network for Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 5922e26c9eaaee92d1d70eae36275bb226ecdb2e,Boosting Classification Based Similarity Learning by using Standard Distances,Universitat de València,Universitat de València,"Campus dels Tarongers, Plaza de Manuel Broseta i Pont, Ciutat Jardí, Algirós, València, Comarca de València, València / Valencia, Comunitat Valenciana, 46022, España",39.47787665,-0.34257711,edu,

 59bece468ed98397d54865715f40af30221aa08c,Deformable part-based robust face detection under occlusion by using face decomposition into face components,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu,

+59b202ccc01bae85a88ad0699da7a8ae6aa50fef,"Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 592bbab1e073908c75584879bc00911e7246aebf,Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 592bbab1e073908c75584879bc00911e7246aebf,Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu,

 59be98f54bb4ed7a2984dc6a3c84b52d1caf44eb,A deep-learning approach to facial expression recognition with candid images,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu,

@@ -6558,9 +8025,10 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 592e555ebe4bd2d821230e7074d7e9626af716b0,Open Set Adversarial Examples,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 59a0b3537bf4f764c192812c4b48049f5c8fccc3,Unsupervised Object Discovery from Images by Mining Local Features Using Hashing,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 5955e31c413a4a08d149de8af843355ac45525bc,Supervised Kernel Locally Principle Component Analysis for Face Recognition,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

+593234ba1d2e16a887207bf65d6b55bbc7ea2247,Combining language sources and robust semantic relatedness for attribute-based knowledge transfer,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 593234ba1d2e16a887207bf65d6b55bbc7ea2247,Combining language sources and robust semantic relatedness for attribute-based knowledge transfer,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

-594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 591f04d62f44c22d1d82c9e074b066c21b420394,Learning What and Where to Draw,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 591f04d62f44c22d1d82c9e074b066c21b420394,Learning What and Where to Draw,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -6570,12 +8038,15 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 59b2edf39e0490892d8865b8252bd7f11e2b2228,Face Recognition Using a Unified 3 D Morphable Model,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 59b2edf39e0490892d8865b8252bd7f11e2b2228,Face Recognition Using a Unified 3 D Morphable Model,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b,The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution,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,

+5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e,Self-Supervised Depth Learning Improves Semantic Segmentation,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 59778de271938df6de938deac17fd614f4640ac5,Cleaning up after a face tracker: False positive removal,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 59778de271938df6de938deac17fd614f4640ac5,Cleaning up after a face tracker: False positive removal,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

+59a35b63cf845ebf0ba31c290423e24eb822d245,The FaceSketchID System: Matching Facial Composites to Mugshots,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 59f77456b4e2ffe84f99ac33796ee409143dbdac,ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing,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,

 59948ee0f334ccdc4e94e5bb6a7a019c764e1815,Deployment of Practical Methods for Counting Bicycle and Pedestrian Use of a Transportation Facility Final Report Prepared by :,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 590739cab80ad1219143401be0d929bc2885901b,Sherlock: Modeling Structured Knowledge in Images,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 59319c128c8ac3c88b4ab81088efe8ae9c458e07,Effective Computer Model For Recognizing Nationality From Frontal Image.,University of the Humanities,The University of the Humanities,"Хүмүүнлэгийн ухааны их сургууль, Ж.Самбуугийн гудамж, Гандан, Улаанбаатар, 975, Монгол улс",47.92189370,106.91955240,edu,

+59cca46a0442fc6bd0525e5f13cef5b5a9747d34,Cross-Domain Shoe Retrieval With a Semantic Hierarchy of Attribute Classification Network,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 59f357015054bab43fb8cbfd3f3dbf17b1d1f881,Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 59f357015054bab43fb8cbfd3f3dbf17b1d1f881,Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 59f3f62fa3820f8f41a47d6e37b896c0f899457a,On the use of independent tasks for face recognition,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

@@ -6609,8 +8080,11 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 25dba68e4db0ce361032126b91f734f9252cae7c,DeepSetNet: Predicting Sets with Deep Neural Networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 256f09fe3163564958381d7f3727b5c27c19144c,Image2Emoji: Zero-shot Emoji Prediction for Visual Media,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,

 250fac885611cf7513d94aa7d8ca329abc216ca1,ROBUST SEGMENTATION AND OBJECT CLASSIFICATION IN NATURAL AND MEDICAL IMAGES,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

+2559b15f8d4a57694a0a33bdc4ac95c479a3c79a,Contextual Object Localization With Multiple Kernel Nearest Neighbor,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2534997443c7e183c9f8e370ea1e82989ecc940d,Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu,

+2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,China,China,China,35.86166000,104.19539700,edu,

 2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 256623ff025f36d343588bcd0b966c1fd26afcf8,Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 2599445b0990979483db54c707c9a33b18231910,Binary Biometric Representation through Pairwise Polar Quantization,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

@@ -6621,6 +8095,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 25c087a7b86c2f5528d702942bf3a29e81267cb1,Talking about other people: an endless range of possibilities,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu,

 25d514d26ecbc147becf4117512523412e1f060b,Annotated crowd video face database,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 25e9a2ec45c34d4610359196dc505a72c3833336,Benchmarking KAZE and MCM for Multiclass Classification,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+258da7c0f7bdfad019f9affbd3469081d1c12661,Adaptive Image Denoising by Mixture Adaptation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 25c108a56e4cb757b62911639a40e9caf07f1b4f,Recurrent Scale Approximation for Object Detection in CNN,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 257e008c01a32b9b642553f3f1e59e61efcac4a6,Gender discrimination of eyes and mouths by individuals with autism.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 257e008c01a32b9b642553f3f1e59e61efcac4a6,Gender discrimination of eyes and mouths by individuals with autism.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

@@ -6628,16 +8103,18 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 25f5df29342a04936ba0d308b4d1b8245a7e8f5c,Convolutional Pose Machines,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,

 256fbdb890e3010d8e99749d5d9aea2d7340fbd7,Learning from weak representations using distance functions and generative models,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 2577211aeaaa1f2245ddc379564813bee3d46c06,Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels,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,

-2577211aeaaa1f2245ddc379564813bee3d46c06,Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2577211aeaaa1f2245ddc379564813bee3d46c06,Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 25b1a031a0559a0bc4079e9011bdf527e1a39d19,Modelling the time-variant covariates for gait recognition,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+25ed9bd6c5febac832f3d68b96123e6ba013df83,Object segmentation by alignment of poselet activations to image contours,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu,

 253b9b36565b83d0196c3bd9bf05089d9aafa242,Human Body Part Classification in Monocular Soccer Images,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 255971561c250d1ccee1402397586d2c7d0cd545,SmartBox : Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 2563b2adba98788a217565ba5a648f83cb75eeeb,Weight-Optimal Local Binary Patterns,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,

 25899b46ded451547a913567db876c75c305b1a6,DESIGNING FACE VERIFICATION SYSTEMS BASED SYNTHESISED NEAR INFRARED INFORMATION,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 25899b46ded451547a913567db876c75c305b1a6,DESIGNING FACE VERIFICATION SYSTEMS BASED SYNTHESISED NEAR INFRARED INFORMATION,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

+25403c52a7c3092866773b0e765ab55841d3cb67,Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 25ee08db14dca641d085584909b551042618b8bf,Learning to Segment Instances in Videos with Spatial Propagation Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 25ee08db14dca641d085584909b551042618b8bf,Learning to Segment Instances in Videos with Spatial Propagation Network,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

-2588acc7a730d864f84d4e1a050070ff873b03d5,Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2588acc7a730d864f84d4e1a050070ff873b03d5,Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 25ff865460c2b5481fa4161749d5da8501010aa0,Seeing What is Not There: Learning Context to Determine Where Objects are Missing,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 25c3068e7964d3b894916a82b1fa93c9d6792886,Face Recognition with Histograms of Oriented Gradients,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 25c3cdbde7054fbc647d8be0d746373e7b64d150,ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

@@ -6646,12 +8123,22 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 255bb1a38169c7b78fb4da747cde18a961755d7a,A Bayesian generative model for learning semantic hierarchies,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 255bb1a38169c7b78fb4da747cde18a961755d7a,A Bayesian generative model for learning semantic hierarchies,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 255bb1a38169c7b78fb4da747cde18a961755d7a,A Bayesian generative model for learning semantic hierarchies,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb,Context-Aware Hypergraph Modeling for Re-identification and Summarization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8,Label Distribution Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,India,India,India,20.59368400,78.96288000,edu,

+253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,India,India,India,20.59368400,78.96288000,edu,

+2597b0dccdf3d89eaffd32e202570b1fbbedd1d6,Towards Predicting the Likeability of Fashion Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2594bf77a1fef68d86be74a2cb79c55499cb2bec,Learning Invariant Color Features for Person Reidentification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+259e4aca87b8724b4c9df2315b976237481a1929,Pedestrian Behavior Understanding and Prediction with Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 259e4aca87b8724b4c9df2315b976237481a1929,Pedestrian Behavior Understanding and Prediction with Deep Neural Networks,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 25e2d3122d4926edaab56a576925ae7a88d68a77,Communicative-Pragmatic Treatment in Schizophrenia: A Pilot Study,University of Oulu,University 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,

+25e2d3122d4926edaab56a576925ae7a88d68a77,Communicative-Pragmatic Treatment in Schizophrenia: A Pilot Study,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 25e2d3122d4926edaab56a576925ae7a88d68a77,Communicative-Pragmatic Treatment in Schizophrenia: A Pilot Study,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 25f4ac8e021b7304227e0d3f4ce01741b0ce9f92,On User Choice in Graphical Password Schemes,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,

 55804f85613b8584d5002a5b0ddfe86b0d0e3325,Data Complexity in Machine Learning,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+5539c0bee8fcf825e63a1abaa950615ebd9c6b49,ijsr . net Car Detection and Recognition Based on Rear View and Back Light Features,India,India,India,20.59368400,78.96288000,edu,

 5539c0bee8fcf825e63a1abaa950615ebd9c6b49,ijsr . net Car Detection and Recognition Based on Rear View and Back Light Features,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+5539c0bee8fcf825e63a1abaa950615ebd9c6b49,ijsr . net Car Detection and Recognition Based on Rear View and Back Light Features,India,India,India,20.59368400,78.96288000,edu,

 558fc9a2bce3d3993a9c1f41b6c7f290cefcf92f,Efficient and Effective Solutions for Video Classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 558fc9a2bce3d3993a9c1f41b6c7f290cefcf92f,Efficient and Effective Solutions for Video Classification,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 55d0eaf7393bb6bd0483c98894f16269d275c2bd,MMGAN: Manifold Matching Generative Adversarial Network,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,

@@ -6662,6 +8149,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 55d0eaf7393bb6bd0483c98894f16269d275c2bd,MMGAN: Manifold Matching Generative Adversarial Network,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

 55e4cf29055d1556baf72cd17d2bdb692c8554c0,Do deep features retrieve X ? : A tool for quick inspection of deep visual similarities,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 553ffb04c193eedde286c944f4816d46248d9822,"Hi, magic closet, tell me what to wear!",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+553ffb04c193eedde286c944f4816d46248d9822,"Hi, magic closet, tell me what to wear!",Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 55b4b1168c734eeb42882082bd131206dbfedd5b,Learning to Align from Scratch,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 55b4b1168c734eeb42882082bd131206dbfedd5b,Learning to Align from Scratch,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 555f5ef266335af8189714297ccbcd6ab77d83f2,Marginalized CNN: Learning Deep Invariant Representations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -6673,6 +8161,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,China,China,China,35.86166000,104.19539700,edu,

 555f75077a02f33a05841f9b63a1388ec5fbcba5,A Survey on Periocular Biometrics Research,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 55bb6235eaec0459183b5442f46501d29b824a9b,UvA-DARE ( Digital Academic Repository ) Re-identification of persons in multicamera surveillance under varying viewpoints and illumination,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,

 55089f9bc858ae7e9addf30502ac11be4347c05a,A Privacy-Preserving Deep Learning Approach for Face Recognition with Edge Computing,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

@@ -6691,6 +8180,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 55206f0b5f57ce17358999145506cd01e570358c,Parameterisation of a stochastic model for human face identification,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 55d1342900e0abc59495afd44cde0a0052367b42,Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 55249d73df3c38aca08f45a60ff54d9ac8b678a0,General Regression and Representation Model for Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+558c4917dc9a1d34f62c0ab713b1b9a37ad04853,Action Recognition Using Multilevel Features and Latent Structural SVM,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 557890cef6e9285909904fa141ccddddc0da90dd,Target Identity-aware Network Flow for online multiple target tracking,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 557890cef6e9285909904fa141ccddddc0da90dd,Target Identity-aware Network Flow for online multiple target tracking,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 553c4cb8ae6968515efe7ffcb6c30ca5338a32de,InverseNet: Solving Inverse Problems with Splitting Networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -6701,13 +8191,18 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96,The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA).,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 55761bdf5cbbff5fbede8ee9d0573d1561a9254b,The Impact of Visual Saliency Prediction in Image Classification,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 556b9aaf1bc15c928718bc46322d70c691111158,Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

-558540d73fec6fd3856fe0695ad8d9c0b5fe1773,Type-hover-swipe in 96 bytes: a motion sensing mechanical keyboard,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+558540d73fec6fd3856fe0695ad8d9c0b5fe1773,Type-hover-swipe in 96 bytes: a motion sensing mechanical keyboard,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 55af4918d6b20d13c58c482d7e31e17db53c6ab5,When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 55af4918d6b20d13c58c482d7e31e17db53c6ab5,When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 552c55c71bccfc6de7ce1343a1cd12208e9a63b3,Accurate eye center location and tracking using isophote curvature,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,

+5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 55af092ce75ade8a26d2afe97d57de2191d44b5f,Unsupervised Ensemble Regression,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 55af092ce75ade8a26d2afe97d57de2191d44b5f,Unsupervised Ensemble Regression,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 55af092ce75ade8a26d2afe97d57de2191d44b5f,Unsupervised Ensemble Regression,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

+5550a6df1b118a80c00a2459bae216a7e8e3966c,A perusal on Facial Emotion Recognition System ( FERS ),India,India,India,20.59368400,78.96288000,edu,

 55c0113534c62b7f3f238210cf501b42d91cc33a,Hand Keypoint Detection in Single Images Using Multiview Bootstrapping,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,

 55e87050b998eb0a8f0b16163ef5a28f984b01fa,Can you Find a Face in a HEVC Bitstream?,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 554f10d7b8933e9590551a4f891d034b9b8e8642,Learning Individualized Facial Expressions in an Avatar with PSO and Tabu Search,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

@@ -6734,6 +8229,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 4e2873a2ea525507f5cd08e54ba363b06bc10e0a,Multi-Modal Information Extraction in a Question-Answer Framework,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4e2873a2ea525507f5cd08e54ba363b06bc10e0a,Multi-Modal Information Extraction in a Question-Answer Framework,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f,Представление новостных сюжетов с помощью событийных фотографий (News Stories Representation Using Event Photos),Lomonosov Moscow State University,Lomonosov Moscow State University,"МГУ, улица Академика Хохлова, Московский государственный университет им. М. В. Ломоносова, район Раменки, Западный административный округ, Москва, ЦФО, 119234, РФ",55.70229715,37.53179777,edu,

+4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f,Представление новостных сюжетов с помощью событийных фотографий (News Stories Representation Using Event Photos),Russia,Russia,Russia,61.52401000,105.31875600,edu,

 4ed54d5093d240cc3644e4212f162a11ae7d1e3b,Learning Visual Compound Models from Parallel Image-Text Datasets,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

 4ed54d5093d240cc3644e4212f162a11ae7d1e3b,Learning Visual Compound Models from Parallel Image-Text Datasets,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 4ec46573d2e9551cf9ec956b12df356a0cc43447,Comparing Human and Automatic Face Recognition Performance,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu,

@@ -6743,6 +8239,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 4e0636a1b92503469b44e2807f0bb35cc0d97652,Adversarial Localization Network,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4e6ee936eb50dd032f7138702fa39b7c18ee8907,The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 4e6ee936eb50dd032f7138702fa39b7c18ee8907,The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+4ea253a391f804f0045a20e6ef1ae6e92cd0ba55,5 Image Compression Effects in Face Recognition Systems,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 4e99eaf58aa5fb4665dffec0009e2464feb0f66c,An Indexing Method for Efficient Model-Based Search,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 4e65c9f0a64b6a4333b12e2adc3861ad75aca83b,Image Classification Using Super-Vector Coding of Local Image Descriptors,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 4e65c9f0a64b6a4333b12e2adc3861ad75aca83b,Image Classification Using Super-Vector Coding of Local Image Descriptors,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

@@ -6757,16 +8254,22 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 4e559f23bcf502c752f2938ad7f0182047b8d1e4,A Fast Approximate AIB Algorithm for Distributional Word Clustering,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event 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,

+4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,China,China,China,35.86166000,104.19539700,edu,

 4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 4e1836914bbcf94dc00e604b24b1b0d6d7b61e66,Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion,University of Oulu,University 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,

 4e1836914bbcf94dc00e604b24b1b0d6d7b61e66,Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 4eba5f6824f29533e0cd2660e49f2699c7e6501f,Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+4eb0b82b294f601510cd965adcf0e8c386cbaf22,Face Detection for Augmented Reality Application Using Boosting-based Techniques,Mohammed V University in Rabat,"LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco","Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco",33.97023350,-6.87447300,edu,

 4e91defcc0b5ddf18fa70c34d91ce94a0be0f4d7,ODELS WITH A DVERSARIAL T RAINING,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 4e47a5eee68b2828bf7d36e7ef70e1d0f6920678,Analysis of the CMU Localization Algorithm Under Varied Conditions,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 4e47a5eee68b2828bf7d36e7ef70e1d0f6920678,Analysis of the CMU Localization Algorithm Under Varied Conditions,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,

 4ebba791d33d10f694c62c762c15ed581d83c857,Bayesian Networks to Combine Intensity and Color Information in Face Recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 4ed613b6f0427d3ec4cad6c51dcc451786812959,Spatio-Temporal Attention Models for Grounded Video Captioning,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 4e6305b9c9ec58db62548c666357521fb4b3f6f9,Iterative Crowd Counting,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+4e1d7bad6cde28e65b12c5824b1016859e1ae704,Enhanced Face Recognition Using Discrete Cosine Transform,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4ea6954b47baec061fa3f3e1228833eba7be07f9,Multi-pseudo Regularized Label for Generated Data in Person Re-Identification.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

+4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

 4ea4116f57c5d5033569690871ba294dc3649ea5,Multi-View Face Alignment Using 3D Shape Model for View Estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 4e51a3049f1a7301993e2d5ac8fb77a1ab0faae7,Multimodal Human Computer Interaction: A Survey,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,

 4eab317b5ac436a949849ed286baa3de2a541eef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -6788,15 +8291,20 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct
 4e5e6d405331aa4aafc88e3ab31c7f45720c00b2,Pose Tolerant Surface Alignment for 3 D Face Verification with Symmetry Test Reject Option,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 4e1ade72128a6e530577dbbe69bd0afa0ef0e140,Pose Partition Networks for Multi-person Pose Estimation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 4e1ade72128a6e530577dbbe69bd0afa0ef0e140,Pose Partition Networks for Multi-person Pose Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+4e1ade72128a6e530577dbbe69bd0afa0ef0e140,Pose Partition Networks for Multi-person Pose Estimation,China,China,China,35.86166000,104.19539700,edu,

 4e4fa167d772f34dfffc374e021ab3044566afc3,Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4e4fa167d772f34dfffc374e021ab3044566afc3,Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 4e4fa167d772f34dfffc374e021ab3044566afc3,Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 ea476558228c2fe014e034b76b5de35e40de8215,Eye tracking and gaze interface design for pervasive displays,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 eaf421c589034b422d64c2c590d30959ce2d6c74,A discrete chain graph model for 3d+t cell tracking with high misdetection robustness,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+eacba5e8fbafb1302866c0860fc260a2bdfff232,VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos,University of Catania,"Electronics and Computer Engineering, University of Catania, Catania, Italy","Via S. Sofia, 64, 95125 Catania CT, Italy",37.52442420,15.06991700,edu,

 eacba5e8fbafb1302866c0860fc260a2bdfff232,VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 ead1db02b36146ef5c3ef29a1cc411a8f01bc56b,A Overview About Image Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 ea923da826b9e6f89159cc960db7aac91b5ecbd6,Approved by Major Professor(s): Approved by Head of Graduate Program: Date of Graduate Program Head's Approval: Abhilasha Bhargav-Spantzel Protocols and Systems for Privacy Preserving Protection of Digital Identity Doctor of Philosophy,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,China,China,China,35.86166000,104.19539700,edu,

+ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,China,China,China,35.86166000,104.19539700,edu,

 ea4a93a97bf0bff059034c707fa75a2ca13d8048,Extracting Minimalistic Corridor Geometry from Low-Resolution Images,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

+eac6aee477446a67d491ef7c95abb21867cf71fc,A Survey of Sparse Representation: Algorithms and Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ea985e35b36f05156f82ac2025ad3fe8037be0cd,CERTH/CEA LIST at MediaEval Placing Task 2015,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu,

 ea3b13e512c846e2bb29d99f5f97fcf8c7f52836,Adding the Third Dimension to Spatial Relation Detection in 2D Images,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

 ea7e8377f80378ca9c9f8f3e65f7dec6b8b356b9,Automatic Initialization for Facial Analysis in Interactive Robotics,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

@@ -6810,17 +8318,19 @@ ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,S
 ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 ea050801199f98a1c7c1df6769f23f658299a3ae,The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

 ea6207e553a5c8a3e171a8f6b6297688ab43f92d,DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 ea6207e553a5c8a3e171a8f6b6297688ab43f92d,DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 ea8707f8d527018c063a688bbd5a88f74506b288,Be Your Own Prada: Fashion Synthesis with Structural Coherence,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 ea8707f8d527018c063a688bbd5a88f74506b288,Be Your Own Prada: Fashion Synthesis with Structural Coherence,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa,Anchor Box Optimization for Object Detection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

-ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa,Anchor Box Optimization for Object Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa,Anchor Box Optimization for Object Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ea4098d86802dff863fe9f91cbc75b195d452d34,"Tensorize , Factorize and Regularize : Robust Visual Relationship Learning",University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 ea4098d86802dff863fe9f91cbc75b195d452d34,"Tensorize , Factorize and Regularize : Robust Visual Relationship Learning",University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 ea218cebea2228b360680cb85ca133e8c2972e56,Recover Canonical-View Faces in the Wild with Deep Neural Networks,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game,"National Research Council, Italy","National Research Council, Italy","Research Private, Ottawa, ON K1V, Canada",45.32909590,-75.66198580,edu,

 ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 ea80a050d20c0e24e0625a92e5c03e5c8db3e786,Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 eaaed082762337e7c3f8a1b1dfea9c0d3ca281bf,Algebraic Simplification of Genetic Programs during Evolution,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu,

@@ -6838,6 +8348,7 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags
 27bd59baf9cc179e8218c65abd56229def1f83e0,Person re-identification by manifold ranking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 27bd59baf9cc179e8218c65abd56229def1f83e0,Person re-identification by manifold ranking,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 27c4369463ff28f4ab16e9d9eba6f48102c8793e,Triangle Generative Adversarial Networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+273dc39c3e7a18aac3cbd5f2db93969e9cc7613f,EXEMPLAR-BASED HUMAN INTERACTION RECOGNITION : FEATURES AND KEY POSE SEQUENCE MODEL,China,China,China,35.86166000,104.19539700,edu,

 273dc39c3e7a18aac3cbd5f2db93969e9cc7613f,EXEMPLAR-BASED HUMAN INTERACTION RECOGNITION : FEATURES AND KEY POSE SEQUENCE MODEL,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 274e8c0c513ff82713f2f332694cf2b29b7c3bb1,0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 274e8c0c513ff82713f2f332694cf2b29b7c3bb1,0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -6845,6 +8356,7 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags
 274e8c0c513ff82713f2f332694cf2b29b7c3bb1,0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,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,

 27bcdd21f1be3d0990f86a231d29d46a5537e5cd,Rendering Portraitures from Monocular Camera and Beyond,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 27bcdd21f1be3d0990f86a231d29d46a5537e5cd,Rendering Portraitures from Monocular Camera and Beyond,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

+2709bb385ce53c83a5fe952d54a4c5e5786c0849,Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu,

 27c6cd568d0623d549439edc98f6b92528d39bfe,Regressive Tree Structured Model for Facial Landmark Localization,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu,

 2742a61d32053761bcc14bd6c32365bfcdbefe35,Learning Transformations for Clustering and Classification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 2742a61d32053761bcc14bd6c32365bfcdbefe35,Learning Transformations for Clustering and Classification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -6854,6 +8366,7 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags
 274959f26d04848f71a355c09500fd7ebc271d69,Two-Stream Flow-Guided Convolutional Attention Networks for Action Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 270f029b03ee1bdfeae4ff4c5167b450d185a981,Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 27e15e5ae496a228653b69195e7d62a758b73cfa,Adversarial Removal of Gender from Deep Image Representations,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

+27ae7c8c650ffef74c465640f423d9008014e1ca,Dimensionality Reduction with Adaptive Approximation,China,China,China,35.86166000,104.19539700,edu,

 2717998d89d34f45a1cca8b663b26d8bf10608a9,Real-Time Action Recognition with Enhanced Motion Vector CNNs,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 2717998d89d34f45a1cca8b663b26d8bf10608a9,Real-Time Action Recognition with Enhanced Motion Vector CNNs,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 27edd87445ee2474f654563bbae6d265cddc466f,A real-time cascade pedestrian detection based on heterogeneous features,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

@@ -6862,8 +8375,12 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags
 27ccf0cdf0c7a74640697dfb5d1cf85969a5da2e,Multilingual Image Description with Neural Sequence Models,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 27eb092a9adbfcb3aea1b13bde580f1fd5c7b8f0,Oxytocin Increases Gaze to the Eye Region of Human Faces,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 27eb092a9adbfcb3aea1b13bde580f1fd5c7b8f0,Oxytocin Increases Gaze to the Eye Region of Human Faces,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

+271666ac32cf29e42f1cf4d0d77d9340b9aa1783,Representation-based Nearest Feature Plane for Pattern Recognition,China,China,China,35.86166000,104.19539700,edu,

 271666ac32cf29e42f1cf4d0d77d9340b9aa1783,Representation-based Nearest Feature Plane for Pattern Recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+271666ac32cf29e42f1cf4d0d77d9340b9aa1783,Representation-based Nearest Feature Plane for Pattern Recognition,China,China,China,35.86166000,104.19539700,edu,

+27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba,Comparison between k-nn and svm method for speech emotion recognition,India,India,India,20.59368400,78.96288000,edu,

 27caf667432ad7dbb01921696857303641b34f83,Entropy Driven Hierarchical Search for 3D Human Pose Estimation,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu,

+27cccf992f54966feb2ab4831fab628334c742d8,Neutral Face Happy Face Surprise Face Fear Face Sad Face Angry Face Disgust Face,India,India,India,20.59368400,78.96288000,edu,

 272c6b6ccf144954a154b83bf5789341ee3f9ed2,A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions,University of Tokushima,The University of Tokushima,"大学前, 国道11号, 徳島市, 徳島県, 四国地方, 770-0815, 日本",34.07880680,134.55898100,edu,

 272c6b6ccf144954a154b83bf5789341ee3f9ed2,A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions,University of Tokushima,The University of Tokushima,"大学前, 国道11号, 徳島市, 徳島県, 四国地方, 770-0815, 日本",34.07880680,134.55898100,edu,

 271df16f789bd2122f0268c3e2fa46bc0cb5f195,Mining discriminative co-occurrence patterns for visual recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

@@ -6871,23 +8388,26 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags
 277c41ce2a485f09a842d793e599553ad751d34a,Robust Person Detection by Classifier Cubes and Local Verification ∗,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 277bfd1bc89044b4a523ef23f48bd053d5560657,Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 27a299b834a18e45d73e0bf784bbb5b304c197b3,Social Role Discovery in Human Events,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

-27a299b834a18e45d73e0bf784bbb5b304c197b3,Social Role Discovery in Human Events,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+27a299b834a18e45d73e0bf784bbb5b304c197b3,Social Role Discovery in Human Events,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 27961bc8173ac84fdbecacd01e5ed6f7ed92d4bd,Automatic multi-view face recognition via 3D model based pose regularization,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 275b5091c50509cc8861e792e084ce07aa906549,Leveraging the User's Face as a Known Object in Handheld Augmented Reality,University of Munich,Universität München,"Geschwister-Scholl-Platz 1, 80539 München, Germany",48.15080600,11.58043000,edu,

 27846b464369095f4909f093d11ed481277c8bba,Real-Time Face Detection and Recognition in Complex Background,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu,

 27708a9d83d4a056b30a98f7b72f391fe2899f90,Non-negative Local Sparse Coding for Subspace Clustering,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

 27405836469652ca9bfaf948c0c9dadd6465a566,"THE USE OF LEXICAL BASIS FUNCTIONS TO CHARACTERIZE FACES , AND TO MEASURE THEIR PERCEIVED SIMILARITY",Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

+272b364f0ed647dbdbc4ae80f10ddaf8ada3a07d,A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena,China,China,China,35.86166000,104.19539700,edu,

 272b364f0ed647dbdbc4ae80f10ddaf8ada3a07d,A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+272b364f0ed647dbdbc4ae80f10ddaf8ada3a07d,A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena,China,China,China,35.86166000,104.19539700,edu,

 27c66b87e0fbb39f68ddb783d11b5b7e807c76e8,Fast Simplex-HMM for One-Shot Learning Activity Recognition,Zaragoza University,Zaragoza University,"Colegio Mayor Universitario Santa Isabel, Calle de Domingo Miral, Romareda, Zaragoza, Aragón, 50009, España",41.64062180,-0.90079399,edu,

 27c66b87e0fbb39f68ddb783d11b5b7e807c76e8,Fast Simplex-HMM for One-Shot Learning Activity Recognition,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 273b0511588ab0a81809a9e75ab3bd93d6a0f1e3,Recognition of facial expressions based on salient geometric features and support vector machines,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu,

 273b0511588ab0a81809a9e75ab3bd93d6a0f1e3,Recognition of facial expressions based on salient geometric features and support vector machines,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 273b0511588ab0a81809a9e75ab3bd93d6a0f1e3,Recognition of facial expressions based on salient geometric features and support vector machines,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 273b9b7c63ac9196fb12734b49b74d0523ca4df4,The Secrets of Salient Object Segmentation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

-273b9b7c63ac9196fb12734b49b74d0523ca4df4,The Secrets of Salient Object Segmentation,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+273b9b7c63ac9196fb12734b49b74d0523ca4df4,The Secrets of Salient Object Segmentation,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 2776d11afa421ec7403606f902dc757de95583b2,Label Propagation from ImageNet to 3D Point Clouds,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 27218ff58c3f0e7d7779fba3bb465d746749ed7c,Active Learning for Image Ranking Over Relative Visual Attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 2701bd6850dc1b811ef7697cc1cd19405b99f990,Privacy Preserving Multi-target Tracking,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+2701bd6850dc1b811ef7697cc1cd19405b99f990,Privacy Preserving Multi-target Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 2744d19a3026a516431ad92f1b60a9237aa2ef6d,"THE DEVELOPMENT OF VISUO-SPATIAL PROCESSING IN CHILDREN WITH AUTISM, DOWN SYNDROME AND WILLIAMS SYNDROME",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 2744d19a3026a516431ad92f1b60a9237aa2ef6d,"THE DEVELOPMENT OF VISUO-SPATIAL PROCESSING IN CHILDREN WITH AUTISM, DOWN SYNDROME AND WILLIAMS SYNDROME",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 2788f382e4396290acfc8b21df45cc811586e66e,Deep Attributes Driven Multi-Camera Person Re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

@@ -6905,9 +8425,11 @@ d67277eb00d58d20eaa18c346761fe4eeaab9c49,Multi-Level Fusion based 3 D Object Det
 d6a2f269e0772817eb7be7a7dd84fde8a821aaf5,Determining Functional Attributes of Objects in Images,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 d647099e571f9af3a1762f895fd8c99760a3916e,Exploring facial expressions with compositional features,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 d6d7b7e882a65663fafe470f0582afb4279879b7,Active Learning & its Applications,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+d6d7b7e882a65663fafe470f0582afb4279879b7,Active Learning & its Applications,India,India,India,20.59368400,78.96288000,edu,

 d6b0a1f6dfb995436b45045b56e966d8e57b0990,Gait analysis and recognition for automated visual surveillance,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 d6143ddbee74c10996d291c666fa17bd87f9d4e2,CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 d6b1b0e60e1764982ef95d4ade8fcaa10bfb156a,A Sketch-based Approach for Multimedia Retrieval,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+d6b1b0e60e1764982ef95d4ade8fcaa10bfb156a,A Sketch-based Approach for Multimedia Retrieval,India,India,India,20.59368400,78.96288000,edu,

 d68dbb71b34dfe98dee0680198a23d3b53056394,VIVA Face-off Challenge : Dataset Creation and Balancing Privacy,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 d61e794ec22a4d4882181da17316438b5b24890f,Detecting Sensor Level Spoof Attacks Using Joint Encoding of Temporal and Spatial Features,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 d6335ef1bed414c62a4c3f1a7851bdff37e31e45,Comparing 3D Descriptors for Local Search of Craniofacial Landmarks,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

@@ -6916,8 +8438,12 @@ d666ce9d783a2d31550a8aa47da45128a67304a7,On Relating Visual Elements to City Sta
 d666ce9d783a2d31550a8aa47da45128a67304a7,On Relating Visual Elements to City Statistics,"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,

 d666ce9d783a2d31550a8aa47da45128a67304a7,On Relating Visual Elements to City Statistics,"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,

 d670583c4065132282dbcb4387ee6a83e85f8af1,"A Study of Question Effectiveness Using Reddit ""Ask Me Anything"" Threads",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,India,India,India,20.59368400,78.96288000,edu,

+d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,India,India,India,20.59368400,78.96288000,edu,

 d69719b42ee53b666e56ed476629a883c59ddf66,Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 d69719b42ee53b666e56ed476629a883c59ddf66,Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

+d680cfe583fe61e49656cc7b9dbd480c6159cf0b,Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+d64c362b631f0c94b22952e2d0860054f0854358,Offline Handwritten Devanagari Numeral Recognition Using Artificial Neural Network,India,India,India,20.59368400,78.96288000,edu,

 d6ca3dc01de060871839d5536e8112b551a7f9ff,Sleep-deprived fatigue pattern analysis using large-scale selfies from social media,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 d6ca3dc01de060871839d5536e8112b551a7f9ff,Sleep-deprived fatigue pattern analysis using large-scale selfies from social media,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 d6ca3dc01de060871839d5536e8112b551a7f9ff,Sleep-deprived fatigue pattern analysis using large-scale selfies from social media,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

@@ -6932,10 +8458,17 @@ d67dcaf6e44afd30c5602172c4eec1e484fc7fb7,Illumination Normalization for Robust F
 d6c4069044b976c48c384c4562338942a842cf55,3D Human Pose Estimation with 2D Marginal Heatmaps,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu,

 d675a54dd5e353f99a1bec3b2ddab925a6563653,Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu,

 d6b9c04bc7a1d410d3fc07e04113c7109429174b,Face Identification and Verification via ECOC,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu,

+d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu,

+d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu,

+d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu,

 d6a799e64879290efb2a5c1b4f490737f0b1ab98,DSOD: Learning Deeply Supervised Object Detectors from Scratch,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+d6ad7334d6e2575d61f86f91b8edac8053af8c35,A framework for automatic question generation from text using deep reinforcement learning,India,India,India,20.59368400,78.96288000,edu,

 d6ad7334d6e2575d61f86f91b8edac8053af8c35,A framework for automatic question generation from text using deep reinforcement learning,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu,

 d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539,"Burçin Buket Oğul in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical",Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognition System Based on Fusion of Face and Ear,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

+80e7f9bcaca98b65ce12ad7ce28c4b42e0712752,A New Affine Invariant Image Transform Based on Ridgelets,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+80e7f9bcaca98b65ce12ad7ce28c4b42e0712752,A New Affine Invariant Image Transform Based on Ridgelets,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 80f5443b0204f28c44ee2dd94e72f8dbfa22910d,Visual Object Categorization using Topic Models,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 80433f3c41f383abf495ff2b368616af6d545694,Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 80433f3c41f383abf495ff2b368616af6d545694,Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -6950,8 +8483,10 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 80f560e3e1b650e119dad40febfd4c692c441c2c,GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 8050f9b0f9ee0953e6125cd9b8211bb792953642,Pose and Shape Estimation with Discriminatively Learned Parts,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 80bd795930837330e3ced199f5b9b75398336b87,Relative forest for attribute prediction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+80bd795930837330e3ced199f5b9b75398336b87,Relative forest for attribute prediction,China,China,China,35.86166000,104.19539700,edu,

 806d7b97c3535a3c62ce243fe7008149062d14c1,Learning to Count with CNN Boosting,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 804d14a9033b4ff532ba39c2f7d0aeac8a5548f7,Towards Scalable Dataset Construction: An Active Learning Approach,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

+8032a89ba67e2b35e2789983426842f688c49a93,Matching-Constrained Active Contours,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 80471bb250eca1be53a455489e187c0152ac78b9,DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density 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,

 80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35,Emergent Translation in Multi-Agent Communication,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35,Emergent Translation in Multi-Agent Communication,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

@@ -6968,6 +8503,7 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 806f466034e0c3e609e672559e23d5d8bea6fe3d,Adaptive memory : The mnemonic value of contamination,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 8042b633b35aee9402bc2369b5c25413d2abc271,Nonnegative matrix factorization with α-divergence,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu,

 809ea255d144cff780300440d0f22c96e98abd53,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,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,

+809ea255d144cff780300440d0f22c96e98abd53,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 809ea255d144cff780300440d0f22c96e98abd53,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,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,

 8000c4f278e9af4d087c0d0895fff7012c5e3d78,Multi-task warped Gaussian process for personalized age estimation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 8027f50bbcee3938196c6d5519464df16c275f8d,On Human Motion Prediction Using Recurrent Neural Networks,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

@@ -6987,10 +8523,13 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1,Modeling the joint density of two images under a variety of transformations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1,Modeling the joint density of two images under a variety of transformations,University of Frankfurt,University of Frankfurt,"Frankfurt University of Applied Sciences, Kleiststraße, Nordend West, Frankfurt, Regierungsbezirk Darmstadt, Hessen, 60318, Deutschland",50.13053055,8.69234224,edu,

 57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1,Modeling the joint density of two images under a variety of transformations,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+577b62afca4d5e9092228f20098da5df35ad3cdd,Canonical Correlated PCA method For Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+577b62afca4d5e9092228f20098da5df35ad3cdd,Canonical Correlated PCA method For Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 575d6a05bb27316ad677f19e79473e314e6c6f94,Stacked What-Where Auto-encoders,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 57f5711ca7ee5c7110b7d6d12c611d27af37875f,Illumination invariance for face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 57f5711ca7ee5c7110b7d6d12c611d27af37875f,Illumination invariance for face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 579f0108283f119227de6a485069cda3c7945fa3,Deep neural networks can be improved using human-derived contextual expectations,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+579f0108283f119227de6a485069cda3c7945fa3,Deep neural networks can be improved using human-derived contextual expectations,India,India,India,20.59368400,78.96288000,edu,

 579f0108283f119227de6a485069cda3c7945fa3,Deep neural networks can be improved using human-derived contextual expectations,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 574ad7ef015995efb7338829a021776bf9daaa08,AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu,

 57efdcf4d56f15846c9c5104ce2cd414532ced7d,"The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences.",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,

@@ -7002,13 +8541,20 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 57ec50237ee588d3b40640c4f98410cbd996ee84,Toward Guaranteed Illumination Models for Non-convex Objects,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 57ec50237ee588d3b40640c4f98410cbd996ee84,Toward Guaranteed Illumination Models for Non-convex Objects,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 572791e2f290dc0ecb05e56bfa714c4b7af79b08,Extended MHT algorithm for multiple object tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+572791e2f290dc0ecb05e56bfa714c4b7af79b08,Extended MHT algorithm for multiple object tracking,China,China,China,35.86166000,104.19539700,edu,

+572791e2f290dc0ecb05e56bfa714c4b7af79b08,Extended MHT algorithm for multiple object tracking,China,China,China,35.86166000,104.19539700,edu,

 571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval : From Its Origin to the New Age,Mahatma Gandhi Institute of Technology,Mahatma Gandhi Institute of Technology,"Gandipet Main Rd, Kokapet, Hyderabad, Telangana 500075, India",17.39084720,78.32176670,edu,

+571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval : From Its Origin to the New Age,India,India,India,20.59368400,78.96288000,edu,

+571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval : From Its Origin to the New Age,India,India,India,20.59368400,78.96288000,edu,

 5778d49c8d8d127351eee35047b8d0dc90defe85,Probabilistic Subpixel Temporal Registration for Facial Expression Analysis,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+57bfbd06e94c5def35c1dde901bb4f1c839dbcdf,Deep patch learning for weakly supervised object classification and discovery,China,China,China,35.86166000,104.19539700,edu,

 57ebeff9273dea933e2a75c306849baf43081a8c,Deep Convolutional Network Cascade for Facial Point Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 57ebeff9273dea933e2a75c306849baf43081a8c,Deep Convolutional Network Cascade for Facial Point Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 57ebeff9273dea933e2a75c306849baf43081a8c,Deep Convolutional Network Cascade for Facial Point Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 5727ac51ad6fb67d81cc3ef2c04440c179bd53ab,Oxytocin Attenuates Amygdala Responses to Emotional Faces Regardless of Valence,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu,

+5727ac51ad6fb67d81cc3ef2c04440c179bd53ab,Oxytocin Attenuates Amygdala Responses to Emotional Faces Regardless of Valence,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 57730f7a3ba2439207e091ca2b2e89dd453cef13,Facial Expression Reactions to Feedback in a Human-Computer Interaction — Does Gender Matter ?,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

+573c11e7e00389a033787984223ced536e15c904,Pictorial structures revisited: People detection and articulated pose estimation,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 57bf9888f0dfcc41c5ed5d4b1c2787afab72145a,Robust Facial Expression Recognition Based on Local Directional Pattern,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu,

 5746dcc8164ab95dcf8569bd4f37dec58e1112a3,Recognizing Artificial Faces Using Wavelet Based Adapted Median Binary Patterns,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu,

 570308801ff9614191cfbfd7da88d41fb441b423,Unsupervised Synchrony Discovery in Human Interaction,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

@@ -7030,7 +8576,11 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 57632f82553f34bce21cc8419bc5381d50096592,A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 57632f82553f34bce21cc8419bc5381d50096592,A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 57632f82553f34bce21cc8419bc5381d50096592,A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu,

+571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,China,China,China,35.86166000,104.19539700,edu,

+571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,China,China,China,35.86166000,104.19539700,edu,

 57522ff758642e054d7c50753ec1c3fe598533f0,Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+57522ff758642e054d7c50753ec1c3fe598533f0,Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+572785b5d6f6fa4b174d79725f82c056b0fb4565,"Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 577c1d59e43f04a4bfda95b0b9e3b41d893bc0a2,Faster Evaluation of Labor-Intensive Features,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 57412e2966a04c106657c926bcfdcb5c3842444d,Camera and microphone array for 3D audiovisual face data collection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 57412e2966a04c106657c926bcfdcb5c3842444d,Camera and microphone array for 3D audiovisual face data collection,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

@@ -7041,13 +8591,17 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 57861866a948ab1e1d61376c4d4b6b251e89dfeb,Contour-based Pedestrian Detection with Foreground Distribution Trend Filtering and Tracking,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

 57588971cfef4be8e0706f30cfafbf6c293fed3b,Semantic Autoencoder for Zero-Shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 57df27685196fad070bd2da14ed865fda87d93a9,Determining the best attributes for surveillance video keywords generation,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+9c7444c6949427994b430787a153d5cceff46d5c,Boosting Kernel Discriminative Common Vectors for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 9c7444c6949427994b430787a153d5cceff46d5c,Boosting Kernel Discriminative Common Vectors for Face Recognition,Bharathidasan University,Bharathidasan University,"Bharathidasan University Road, Kajamalai, Ponmalai, Ponmalai Zone, Tiruchchirāppalli, Tiruchchirappalli district, Tamil Nadu, 620020, India",10.77788450,78.69663190,edu,

 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+9c958322235a3ea1f239e3dde9bb865931cf34ed,Locality-Constrained Low-Rank Coding for Image Classification,China,China,China,35.86166000,104.19539700,edu,

 9c958322235a3ea1f239e3dde9bb865931cf34ed,Locality-Constrained Low-Rank Coding for Image Classification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 9c2ed5c50644723ec4c6d6e614928c9403f66dac,Gender Recognition from Face Images Using a Fusion of SVM Classifiers,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

+9c2ed5c50644723ec4c6d6e614928c9403f66dac,Gender Recognition from Face Images Using a Fusion of SVM Classifiers,University of Salerno,"Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu,

+9c8a2d66b8fd6973751b8ee2fe6738327968cfcb,Exploring a model of far-from-equilibrium computation,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 9c9ba660ff8fdf74a81ceaae5ee2e590c7659cf8,Real-Time Pedestrian Tracking with Bacterial Foraging Optimization,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 9cbb6e42a35f26cf1d19f4875cd7f6953f10b95d,Expression Recognition with Ri-HOG Cascade,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 9cbb6e42a35f26cf1d19f4875cd7f6953f10b95d,Expression Recognition with Ri-HOG Cascade,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

@@ -7055,8 +8609,11 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 9cc43e3a756485b78b991605f44eec9be3530350,A Planar Light Probe,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 9c62f4b09ca590f74c75115184fc1a9833625edc,Empathic arousal and social understanding in individuals with autism: evidence from fMRI and ERP measurements.,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu,

 9c1cdb795fd771003da4378f9a0585730d1c3784,Stacked Deformable Part Model with Shape Regression for Object Part Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+9c889616034adce2af05d74eac44cf43a8106468,Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9c513b0f304b1bb29de478a1227ddb201ed50217,A Simple and Effective Technique for Face Clustering in TV Series,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 9ca0626366e136dac6bfd628cec158e26ed959c7,In-the-wild Facial Expression Recognition in Extreme Poses,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9c2aea0bd67c7fe232cca54ee2440b9d666479ea,Recycle-GAN: Unsupervised Video Retargeting,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,

 9ce6730aedbd4b6e05f157397be05b33893bd69f,A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu,

 9ce6730aedbd4b6e05f157397be05b33893bd69f,A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu,

@@ -7070,11 +8627,18 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 9cadd166893f1b8aaecb27280a0915e6694441f5,Multi-Modal Emotion Recognition Fusing Video and Audio,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 9cadd166893f1b8aaecb27280a0915e6694441f5,Multi-Modal Emotion Recognition Fusing Video and Audio,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 9c71e6f4e27b3a6f0f872ec683b0f6dfe0966c05,"Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey",Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+9c71e6f4e27b3a6f0f872ec683b0f6dfe0966c05,"Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey",China,China,China,35.86166000,104.19539700,edu,

 9c85d54a9f6c6a522a267bfdf375251947caef5e,Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors,University of Oulu,University 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,

 9c85d54a9f6c6a522a267bfdf375251947caef5e,Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 9c85d54a9f6c6a522a267bfdf375251947caef5e,Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,China,China,China,35.86166000,104.19539700,edu,

+9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,China,China,China,35.86166000,104.19539700,edu,

+9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,China,China,China,35.86166000,104.19539700,edu,

+9c1f5547d98f5390e2389ce40668da83a9830487,Non-parametric Structured Output Networks,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+9c1f5547d98f5390e2389ce40668da83a9830487,Non-parametric Structured Output Networks,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19,RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+9c731b820c495904a6f7d255d7e6a3bf9e5fc365,Geometric inpainting of 3D structures,India,India,India,20.59368400,78.96288000,edu,

 9c09b9410da8b1c5f0e3f6b65502160734214782,Pedestrian Attribute Detection using CNN,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9c09b9410da8b1c5f0e3f6b65502160734214782,Pedestrian Attribute Detection using CNN,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9c45ee00eede65dcce4098e15b7d005d9775c494,Vision for Robotics in Optimal Control and Reinforcement Learning Systems,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

@@ -7082,37 +8646,53 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 9c7d3d2a524aedb8bf687441f26dac5ed8c490c5,Visual Explanations from Hadamard Product in Multimodal Deep Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,China,China,China,35.86166000,104.19539700,edu,

 9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 9c373438285101d47ab9332cdb0df6534e3b93d1,Occupancy Detection in Vehicles Using Fisher Vector Image Representation.,Xerox Research Center,Xerox Research Center,"Xerox Research Centre of Canada, 2660, Speakman Drive, Sheridan Park, Erin Mills, Ont., Peel Region, Ontario, L5J 2M4, Canada",43.51291090,-79.66640762,edu,

 9c373438285101d47ab9332cdb0df6534e3b93d1,Occupancy Detection in Vehicles Using Fisher Vector Image Representation.,Xerox Research Center,Xerox Research Center,"Xerox Research Centre of Canada, 2660, Speakman Drive, Sheridan Park, Erin Mills, Ont., Peel Region, Ontario, L5J 2M4, Canada",43.51291090,-79.66640762,edu,

 9c6354ea6db59508e0fe9b91eec6ea48507c9511,Quality Assessment for Crowdsourced Object Annotations,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+9c576520ed9c960270715f790a62b9337ce88bd2,Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking,India,India,India,20.59368400,78.96288000,edu,

+9c1305383ce2c108421e9f5e75f092eaa4a5aa3c,RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER RECOGNITION RESULT TO VISUAL FACES,China,China,China,35.86166000,104.19539700,edu,

 9c1b132243e0dcacde1717ce1cfe730a74bd8cbc,Hippocampus Is Place of Interaction between Unconscious and Conscious Memories,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

+9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 9c9ef6a46fb6395702fad622f03ceeffbada06e5,Exchanging Faces in Images,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 9261e06e3455d2d46ca1459f3c82d6047e849649,Evaluation of image pre-processing techniques for eigenface based face recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

-928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 922838dd98d599d1d229cc73896d55e7a769aa7c,Learning hierarchical representations for face verification with convolutional deep belief networks,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 922838dd98d599d1d229cc73896d55e7a769aa7c,Learning hierarchical representations for face verification with convolutional deep belief networks,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 922838dd98d599d1d229cc73896d55e7a769aa7c,Learning hierarchical representations for face verification with convolutional deep belief networks,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

+92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,India,India,India,20.59368400,78.96288000,edu,

+92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,India,India,India,20.59368400,78.96288000,edu,

+92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,India,India,India,20.59368400,78.96288000,edu,

 925b634cc26a8e74c2ee8889472a77e7af37874d,Shape Models of the Human Body for Distributed Inference,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 92104ae97d3b57489751528a315966c0242a6efb,Input Stage-1 : Regression Stage-2 : Contextual Copy-Pasting qi pi [ ] ... Pixel Representation,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,

 92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu,

+92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu,

 92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu,

 92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu,

+92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu,

+92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,China,China,China,35.86166000,104.19539700,edu,

 92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 92a25b281f1637d125cefefcbfc382f48f456f4c,Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

 92a25b281f1637d125cefefcbfc382f48f456f4c,Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu,

 925811b9fdd6c0d901bdd63245ead6a781f38bcb,Informed Haar-Like Features Improve Pedestrian Detection,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 92e464a5a67582d5209fa75e3b29de05d82c7c86,Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 92b9c19da2c144257617e39bc8ace7293e710914,"Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+9283fa7a8c8a0c746f4d437ca14f80fdffe0fc99,A New Kernel Orthogonal Projection Analysis Approach for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 9283fa7a8c8a0c746f4d437ca14f80fdffe0fc99,A New Kernel Orthogonal Projection Analysis Approach for Face Recognition,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 928b8eb47288a05611c140d02441660277a7ed54,Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 926e97d5ce2a6e070f8ec07c5aa7f91d3df90ba0,Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu,

 92166eb883b0505040c2d61c758985e5ec051f83,Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+92990ef7866ca906b595e2841e340725fb3ff8da,Generating Synthetic Data for Text Recognition,India,India,India,20.59368400,78.96288000,edu,

 927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c,Learning Discriminative Features with Multiple Granularities for Person Re-Identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 928857c96ef837f43ec87135de69780f6667cc70,Reconstruction Network for Video Captioning,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 92de2ed3805968d6d95da4fa9c44423ef50a6a37,SegStereo: Exploiting Semantic Information for Disparity Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -7122,7 +8702,9 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 920246280e7e70900762ddfa7c41a79ec4517350,(MP) 2 T: multiple people multiple parts tracker,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 921f217ec696d233132e28d5a55ce76acca49382,Localisation via Deep Imagination: learn the features not the map,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 92891d260e46adeff84ec5ea0817c0b6a70c253d,Model-Based Gait Enrolment in Real-World Imagery,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+92980965514210b4f6dd074d122078d54684f724,Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 92f2c4f5583f0b58799f4834bc2808ee785e27f1,Kernel-based clustering of big data,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+9264b390aa00521f9bd01095ba0ba4b42bf84d7e,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,China,China,China,35.86166000,104.19539700,edu,

 9264b390aa00521f9bd01095ba0ba4b42bf84d7e,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu,

 9264b390aa00521f9bd01095ba0ba4b42bf84d7e,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,Aberystwyth University,Aberystwyth University,"Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK",52.41073580,-4.05295501,edu,

 9257c88484247ac19e25c34de2261d34e7a06b41,CoMaL Tracking: Tracking Points at the Object Boundaries,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -7130,14 +8712,20 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio
 924b14a9e36d0523a267293c6d149bca83e73f3b,Development and Evaluation of a Method Employed to Identify Internal State Utilizing Eye Movement Data,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu,

 9294739e24e1929794330067b84f7eafd286e1c8,Expression Recognition Using Elastic Graph Matching,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 9294739e24e1929794330067b84f7eafd286e1c8,Expression Recognition Using Elastic Graph Matching,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

+92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 92574a72c660a86a7ded738a1350851f416bec03,Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

+92115b620c7f653c847f43b6c4ff0470c8e55dab,Training Deformable Object Models for Human Detection Based on Alignment and Clustering,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu,

 922cd0026bd6e5cf60f901f080c8bdddeae72c1a,Deep CNN Ensemble with Data Augmentation for Object Detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 922cd0026bd6e5cf60f901f080c8bdddeae72c1a,Deep CNN Ensemble with Data Augmentation for Object Detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 923ec0da8327847910e8dd71e9d801abcbc93b08,Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 925e907458e7621ed4390db20d170e98d155d693,Question Answering under Instructor Guidance with Memory Networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

-92d5fd4ef31cf86a650c7b01c26f0ac93304f98a,Attention-Based Natural Language Person Retrieval,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+92d5fd4ef31cf86a650c7b01c26f0ac93304f98a,Attention-Based Natural Language Person Retrieval,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM,India,India,India,20.59368400,78.96288000,edu,

+a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM,India,India,India,20.59368400,78.96288000,edu,

 a36c8a4213251d3fd634e8893ad1b932205ad1ca,Videos from the 2013 Boston Marathon : An Event Reconstruction Dataset for Synchronization and Localization,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,

 a36f8947c7e33f73157d3ffb0660776403fc197c,3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+a36f8947c7e33f73157d3ffb0660776403fc197c,3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes,China,China,China,35.86166000,104.19539700,edu,

 a301ddc419cbd900b301a95b1d9e4bb770afc6a3,DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 a3f4f163e87b28901389e189bb7f0f655995793f,End-to-End Instance Segmentation and Counting with Recurrent Attention,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 a3f4f163e87b28901389e189bb7f0f655995793f,End-to-End Instance Segmentation and Counting with Recurrent Attention,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

@@ -7146,20 +8734,26 @@ a322479a6851f57a3d74d017a9cb6d71395ed806,Towards Pose Invariant Face Recognition
 a322479a6851f57a3d74d017a9cb6d71395ed806,Towards Pose Invariant Face Recognition in the Wild,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 a322479a6851f57a3d74d017a9cb6d71395ed806,Towards Pose Invariant Face Recognition in the Wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a32d4195f7752a715469ad99cb1e6ebc1a099de6,The Potential of Using Brain Images for Authentication,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+a32d4195f7752a715469ad99cb1e6ebc1a099de6,The Potential of Using Brain Images for Authentication,China,China,China,35.86166000,104.19539700,edu,

 a37ff20bff5215b36317e7a2b52833b061d4e7cd,Uncertainty Adaptation in Robot Perception and Learning,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,

 a312599f9a842cf686c6cf80b770e05840d32a5a,MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 a39d318b68a2c262b6351a05f447dfcb0555da88,Facial Expression Recognition Based on Local Fourier Coefficients and Facial Fourier Descriptors,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

+a308ad39f3cc25096f493280319621a25c2c7f46,Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 a30d5b636086d80791578cbd0e0b02d87ab42d27,Actionness-Assisted Recognition of Actions,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 a353d425a602d04f1dfde2142650fe0fb5193159,An incremental structured part model for image classification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+a353d425a602d04f1dfde2142650fe0fb5193159,An incremental structured part model for image classification,China,China,China,35.86166000,104.19539700,edu,

 a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+a3d8b5622c4b9af1f753aade57e4774730787a00,Pose-Aware Person Recognition,India,India,India,20.59368400,78.96288000,edu,

+a3177f82ea8391d9d733be47e4a0656a7b56e64c,Emotion Researcher ISRE ' s Sourcebook for Research on Emotion and Affect,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 a3fa023d7355662d066882df8dead0cac6a8321e,Material for “ Adversarial Inverse Graphics Networks : Learning 2 Dto-3 D Lifting and Image-to-Image Translation from Unpaired Supervision ”,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,

 a36aa784e00d479bb0e6cb8aa6b6cd2dfeadfe1b,Evaluation of different features for face recognition in video,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 a34fb5c4b8b58ca19c376b1312e4d9955fe1d857,Deep Learning for Image Captioning,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

+a361e820a85fa91f23091068f8177c58489304b1,Hard to “tune in”: neural mechanisms of live face-to-face interaction with high-functioning autistic spectrum disorder,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 a361e820a85fa91f23091068f8177c58489304b1,Hard to “tune in”: neural mechanisms of live face-to-face interaction with high-functioning autistic spectrum disorder,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

 a32d54bbf8ede0a629dcb08323e77dec3ffa334b,"Automated Estimation of Human Age , Gender and Expression EE 368 Digital Image Processing Final Project Report",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 a303fca91c181f1084d94948169ab73c45e2073e,Impact of Small Groups with Heterogeneous Preference on Behavioral Evolution in Population Evacuation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -7173,13 +8767,20 @@ a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400
 a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 / 401 Project Final Report,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 / 401 Project Final Report,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 / 401 Project Final Report,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+a3be57fc74460463f03c2a14e81e7e62c05c692e,Object Detection,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 a3bc6020cd57ebe3a82a0b232f969bcc4e372e53,A hybrid feature extraction technique for face recognition,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

+a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+a32f28156b47fd262e04426806037d138bb3ed0b,Fisher ’ s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition,China,China,China,35.86166000,104.19539700,edu,

 a3d11e98794896849ab2304a42bf83e2979e5fb5,In Defense of the Triplet Loss for Person Re-Identification,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 a3f684930c5c45fcb56a2b407d26b63879120cbf,LPM for Fast Action Recognition with Large Number of Classes,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

+a3f684930c5c45fcb56a2b407d26b63879120cbf,LPM for Fast Action Recognition with Large Number of Classes,China,China,China,35.86166000,104.19539700,edu,

 a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,China,China,China,35.86166000,104.19539700,edu,

+a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,China,China,China,35.86166000,104.19539700,edu,

 a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 a343bc9239a209af45c43f94b86651fd0074a364,Learning To Simulate,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

-a3d96844dc4fc3b51f3b8361c72f156800794251,BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a3d96844dc4fc3b51f3b8361c72f156800794251,BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a35dd69d63bac6f3296e0f1d148708cfa4ba80f6,Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a3c93737a4497350768b0dda08dbc0826670dc5b,Diagnosing State-Of-The-Art Object Proposal Methods,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 a3b70bf7e676f92ebb6dec3e2889c9131634f8b9,Use of 3D faces facilitates facial expression recognition in children,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

@@ -7190,19 +8791,29 @@ a31a01827d809673a641877f21759633936d7da5,Reducing Network Agnostophobia,"Univers
 a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu,

+a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu,

+a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu,

 a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu,

 a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu,

+a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu,

 a33edec6f5e544cde888409fd028b468a2e0bfba,Robust Subspace Clustering via Half-Quadratic Minimization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a360526696a2698ad31dfca4c529e098d2dbdbd1,Image Captioning with Semantic Attention,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 a3dab83995f27ec8d09cbc06fe815ade88232d10,Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 a3dab83995f27ec8d09cbc06fe815ade88232d10,Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 a3dab83995f27ec8d09cbc06fe815ade88232d10,Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

 a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with Application to Face Detection and Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

+79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu,

+79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu,

+79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu,

 7969cc315bbafcd38a637eb8cd5d45ba897be319,An enhanced deep feature representation for person re-identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+7969cc315bbafcd38a637eb8cd5d45ba897be319,An enhanced deep feature representation for person re-identification,China,China,China,35.86166000,104.19539700,edu,

 79a36b19ea363c14af27a1f4112a9eccdd582837,he scope of social attention deficits in autism : Prioritized orienting o people and animals in static natural scenes oshua,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 79a36b19ea363c14af27a1f4112a9eccdd582837,he scope of social attention deficits in autism : Prioritized orienting o people and animals in static natural scenes oshua,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 79eb2b3449b6601f3aa451d9fb94752dd969cba5,PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu,

 79eb2b3449b6601f3aa451d9fb94752dd969cba5,PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu,

+79bd7fd2b40aadea84bced07f813ffc28c88bc85,Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 794f76c111ba1a4ca718e84ae74ee8d2a67c4173,Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 794f76c111ba1a4ca718e84ae74ee8d2a67c4173,Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 794f76c111ba1a4ca718e84ae74ee8d2a67c4173,Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

@@ -7214,16 +8825,22 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with
 79f9a15b4e838d6db91249a85d72fadb07aee927,Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 799b9904f37a515a9614f6a92ff673c4c6e97a7f,Survey on Visual-Based Localization,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 79443a311d75fc0187314d21f8b065b33e5b41cd,The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+79443a311d75fc0187314d21f8b065b33e5b41cd,The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness,China,China,China,35.86166000,104.19539700,edu,

 79f7037675b3929dd2ee4ba989d3d26e63c9b9a7,CMOL CrossNets as Defect-Tolerant Classifiers,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 79894ddf290d3c7a768d634eceb7888564b5cf19,Query-Guided Regression Network with Context Policy for Phrase Grounding,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,

 79eb06c8acce1feef4a8654287d9cf5081e19600,Self-supervised learning of a facial attribute embedding from video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+79eb06c8acce1feef4a8654287d9cf5081e19600,Self-supervised learning of a facial attribute embedding from video,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,China,China,China,35.86166000,104.19539700,edu,

 79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,China,China,China,35.86166000,104.19539700,edu,

 79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,China,China,China,35.86166000,104.19539700,edu,

 794ddb1f3b7598985d4d289b5b0664be736a50c4,Exploiting competition relationship for robust visual recognition,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 7965b2ce7d64991218515e20fc1fc0459fd20a38,Video-based Person Re-identification Using Spatial-Temporal Attention Networks,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 7965b2ce7d64991218515e20fc1fc0459fd20a38,Video-based Person Re-identification Using Spatial-Temporal Attention Networks,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 7965b2ce7d64991218515e20fc1fc0459fd20a38,Video-based Person Re-identification Using Spatial-Temporal Attention Networks,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

+79c959833ff49f860e20b6654dbf4d6acdee0230,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 79db191ca1268dc88271abef3179c4fe4ee92aed,Facial Expression Based Automatic Album Creation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 79db191ca1268dc88271abef3179c4fe4ee92aed,Facial Expression Based Automatic Album Creation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 79db191ca1268dc88271abef3179c4fe4ee92aed,Facial Expression Based Automatic Album Creation,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

@@ -7249,6 +8866,7 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with
 794d344d6aa97e3cb67a44739207aa9c1360db8d,Probabilistic Low-Rank Subspace Clustering,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 79cc0f893af976fe1052240518f47f3bee56c6f6,Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 79cc0f893af976fe1052240518f47f3bee56c6f6,Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu,

+79cc0f893af976fe1052240518f47f3bee56c6f6,Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,China,China,China,35.86166000,104.19539700,edu,

 79e1b9e425621dd5a683026b7158479c10f6780a,Vehicle Detection Method Based on Edge Information and Local Transform Histogram,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu,

 79e1b9e425621dd5a683026b7158479c10f6780a,Vehicle Detection Method Based on Edge Information and Local Transform Histogram,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu,

 7958893d88c007d6569c1f2f9771d1c63b99422f,Structured Uncertainty Prediction Networks,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

@@ -7257,7 +8875,10 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with
 7934c91f09e5bf819519d4348aafdda7c99267bb,Discovering gender differences in facial emotion recognition via implicit behavioral cues,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

 7934c91f09e5bf819519d4348aafdda7c99267bb,Discovering gender differences in facial emotion recognition via implicit behavioral cues,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 7934c91f09e5bf819519d4348aafdda7c99267bb,Discovering gender differences in facial emotion recognition via implicit behavioral cues,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

+79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 1d2dab7790303bbe7894d0ff08ecf87d57b1fbca,A codebook-free and annotation-free approach for fine-grained image categorization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1d7df3df839a6aa8f5392310d46b2a89080a3c25,Large-Margin Softmax Loss for Convolutional Neural Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 1d7df3df839a6aa8f5392310d46b2a89080a3c25,Large-Margin Softmax Loss for Convolutional Neural Networks,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

@@ -7271,11 +8892,16 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with
 1dc241ee162db246882f366644171c11f7aed96d,Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 1da7d851c8d6761b4e1ab3e037596969a295ae50,Fast search in Hamming space with multi-index hashing,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 1d21e5beef23eecff6fff7d4edc16247f0fd984a,Face Recognition from Video Using the Generic Shape-Illumination Manifold,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+1da09ba7340c77b3f943c15f80ff40f6f9d14eeb,MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 1da09ba7340c77b3f943c15f80ff40f6f9d14eeb,MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 1df9065beb51e6ad58efe9c2e7c18a1ce144e569,Fairness Through Computationally-Bounded Awareness,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1df9065beb51e6ad58efe9c2e7c18a1ce144e569,Fairness Through Computationally-Bounded Awareness,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1df9065beb51e6ad58efe9c2e7c18a1ce144e569,Fairness Through Computationally-Bounded Awareness,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

+1dc4b5e93233fc632b070c8ff282ef0fe9141f64,2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM,China,China,China,35.86166000,104.19539700,edu,

 1d1caaa2312390260f7d20ad5f1736099818d358,Resource-Allocating Codebook for patch-based face recognition,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,China,China,China,35.86166000,104.19539700,edu,

+1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,China,China,China,35.86166000,104.19539700,edu,

+1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,China,China,China,35.86166000,104.19539700,edu,

 1dea4f56c04d12abbc9e1ed7c48c7ccc09e7f5bb,How magic changes our expectations about autism.,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 1d630cc482f7a261738eb8b3b2021cf27c38370e,Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

 1d630cc482f7a261738eb8b3b2021cf27c38370e,Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

@@ -7292,54 +8918,83 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with
 1d5aad4f7fae6d414ffb212cec1f7ac876de48bf,Face retriever: Pre-filtering the gallery via deep neural net,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 1dbcf2181cb9890397c88c7cba20941af9019a20,Models for Apparent Personality Trait Regression,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

 1dede3e0f2e0ed2984aca8cd98631b43c3f887b9,A vote of confidence based interest point detector,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+1dd26846e8b42e2da92b5977f8a6050f2f92f388,Robust Curb Detection with Fusion of 3D-Lidar and Camera Data,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 1dd26846e8b42e2da92b5977f8a6050f2f92f388,Robust Curb Detection with Fusion of 3D-Lidar and Camera Data,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 1dd26846e8b42e2da92b5977f8a6050f2f92f388,Robust Curb Detection with Fusion of 3D-Lidar and Camera Data,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 1d911007a6f2832e006773f247fad1f729d1c6ae,Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",China,China,China,35.86166000,104.19539700,edu,

 1da2431a799f68888b7e035fe49fe47a4735b71b,Leveraging Video Descriptions to Learn Video Question Answering,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 1da2431a799f68888b7e035fe49fe47a4735b71b,Leveraging Video Descriptions to Learn Video Question Answering,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1d81fe4a386a7d96b256eac41b99604cd132e019,Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1d0ee1069bd433b5f754d70517d2e0fcc519515c,Propagative hough voting for human activity recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,China,China,China,35.86166000,104.19539700,edu,

 1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 1db8bfaf4e74b68f5501642a823e5b87dbc1fbfb,The SFU Mountain Dataset : Semi-Structured Woodland Trails Under Changing Environmental Conditions,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1d19c6857e798943cd0ecd110a7a0d514c671fec,Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38,Biometric Approach to Facial Signature Authentication using Thermal Imaging B,India,India,India,20.59368400,78.96288000,edu,

+1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38,Biometric Approach to Facial Signature Authentication using Thermal Imaging B,India,India,India,20.59368400,78.96288000,edu,

 1d5f22e73aa0d8115af0be61fc8832de501f4a1b,Comparison of 3D Scanning Versus 2D Photography for the Identification of Facial Soft-Tissue Landmarks,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

+1d5f22e73aa0d8115af0be61fc8832de501f4a1b,Comparison of 3D Scanning Versus 2D Photography for the Identification of Facial Soft-Tissue Landmarks,China,China,China,35.86166000,104.19539700,edu,

 1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu,

+1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,China,China,China,35.86166000,104.19539700,edu,

+1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,"Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China","Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China","Beijing, China",39.90419990,116.40739630,edu,

 1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 1dfa8cce7b8dfd4b954d3fd90bef7bf569c87fb8,Robust object tracking in crowd dynamic scenes using explicit stereo depth,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 1dfa8cce7b8dfd4b954d3fd90bef7bf569c87fb8,Robust object tracking in crowd dynamic scenes using explicit stereo depth,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

+1d251acc459931d927f5befdfb5b9cdf643cd8bc,Bayesian Compression for Natural Language Processing,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 1d696a1beb42515ab16f3a9f6f72584a41492a03,"Deeply learned face representations are sparse, selective, and robust",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1d696a1beb42515ab16f3a9f6f72584a41492a03,"Deeply learned face representations are sparse, selective, and robust",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1d696a1beb42515ab16f3a9f6f72584a41492a03,"Deeply learned face representations are sparse, selective, and robust",Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+1dca6a54d201dd56b41a5475aaf498a207083b0e,Ego-surfing first person videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1daf148a6d5d86e8cbe76a13311514f1338bdb0d,Image Inpainting via Generative Multi-column Convolutional Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1d82e7736268917cc3d87a2ee0896b03e02a5ff6,The Promise of Premise: Harnessing Question Premises in Visual Question Answering,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 1d97735bb0f0434dde552a96e1844b064af08f62,Weber binary pattern and Weber ternary pattern for illumination-robust face recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+1d97735bb0f0434dde552a96e1844b064af08f62,Weber binary pattern and Weber ternary pattern for illumination-robust face recognition,China,China,China,35.86166000,104.19539700,edu,

 1d9b6745c0fd793db6dda8975b498ca517961d25,Visual Reasoning with Natural Language,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,China,China,China,35.86166000,104.19539700,edu,

 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,China,China,China,35.86166000,104.19539700,edu,

 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,China,China,China,35.86166000,104.19539700,edu,

 1d93f7de9f6d2daa77d844dd928aaa1e699ed312,Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 1df84bf495d15569258513f229325d922b91e045,Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 1df84bf495d15569258513f229325d922b91e045,Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 1df84bf495d15569258513f229325d922b91e045,Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,India,India,India,20.59368400,78.96288000,edu,

+1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,India,India,India,20.59368400,78.96288000,edu,

 1dc35905a1deff8bc74688f2d7e2f48fd2273275,Pedestrian detection: A benchmark,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+1dc35905a1deff8bc74688f2d7e2f48fd2273275,Pedestrian detection: A benchmark,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 1d0dcb458aa4d30b51f7c74b159be687f39120a0,Pose-Driven Deep Convolutional Model for Person Re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 1d0dcb458aa4d30b51f7c74b159be687f39120a0,Pose-Driven Deep Convolutional Model for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 1d0dcb458aa4d30b51f7c74b159be687f39120a0,Pose-Driven Deep Convolutional Model for Person Re-identification,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 1de800d988f32380c54e430636ebf8913eadcc98,Predicting Images using Convolutional Networks : Visual Scene Understanding with Pixel Maps,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

+1dff919e51c262c22630955972968f38ba385d8a,Toward an Affect-Sensitive Multimodal Human – Computer Interaction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1dad684de1ce4c013ba04eb4b1a70355b3786ecd,Is Someone There ? Where ? ( Looking for People ),Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 1de62c96f042ca0f5f7eb22c2f3cec4a6881b548,On the Two-View Geometry of Unsynchronized Cameras,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

+1de62c96f042ca0f5f7eb22c2f3cec4a6881b548,On the Two-View Geometry of Unsynchronized Cameras,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,China,China,China,35.86166000,104.19539700,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,China,China,China,35.86166000,104.19539700,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,China,China,China,35.86166000,104.19539700,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 1d0128b9f96f4c11c034d41581f23eb4b4dd7780,Automatic construction Of robust spherical harmonic subspaces,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,

 1d1603a1ec73a9a0ff972f3898c94eed2c741e51,Pose Guided Person Image Generation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -7362,11 +9017,13 @@ d31bf8f6f9404a0ab2e601e723b9a07287d0693b,Feature Space Reduction for Face Recogn
 d377e648734f429ae50c889c43b7b2e9c5ca2d66,"Development of face discrimination abilities, and relationship to magnocellular pathway development, between childhood and adulthood.",Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 d3b832f3c4e8b6d81eac24d6e070f756b9e8a7a1,Examples-Rules Guided Deep Neural Network for Makeup Recommendation,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 d3b0839324d0091e70ce34f44c979b9366547327,Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+d3d887aebeeae44cefd5c2bdbb388d9ce109e335,Image Manipulation with Perceptual Discriminators,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 d38af10096aa90dfccd7e4cec9757900bf6958bd,MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 d3424761e06a8f5f3c1f042f1f1163a469872129,"Pose-invariant, model-based object recognition, using linear combination of views and Bayesian statistics",University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 d31af74425719a3840b496b7932e0887b35e9e0d,A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu,

 d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,"Australian National University, Canberra","Australian National University, Canberra","Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia",-35.28121335,149.11665331,edu,

 d38559f22b91f63ec8a70190b6b7e04cc1e95d77,Analyzing SLAM Algorithm Performance for Tracking in Augmented Reality Systems,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 d37013e4ce0f5dd6b61a4ffadecc401274966602,Reading affect in the face and voice: neural correlates of interpreting communicative intent in children and adolescents with autism spectrum disorders.,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

@@ -7384,8 +9041,10 @@ d3a1322c988b50049986365c27dcfce42828d2ca,van Gent Clustering Faces from the Nati
 d3a79b434347bbb94f8f199c702862905ebcaf38,Automatic Face Detection Using Color Based Segmentation,Thapar University,Thapar University,"Thapar University, Hostel Road, Patiala, Punjab, 147001, India",30.35566105,76.36581641,edu,

 d3200d49a19a4a4e4e9745ee39649b65d80c834b,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 d3015812feb640c79ca8a098e7e27c35f4355ede,Online Nearest Neighbor Search in Hamming Space,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+d33fcdaf2c0bd0100ec94b2c437dccdacec66476,Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d3edbfe18610ce63f83db83f7fbc7634dde1eb40,Large Graph Hashing with Spectral Rotation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 d372629db7d6516c4729c847eb3f6484ee86de94,The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+d3c004125c71942846a9b32ae565c5216c068d1e,Recognizing Age-Separated Face Images: Humans and Machines,India,India,India,20.59368400,78.96288000,edu,

 d3d37a44a7a0453445e6e433a527b0164ec99b88,Efficient use of geometric constraints for sliding-window object detection in video,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 d35534f3f59631951011539da2fe83f2844ca245,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 d35534f3f59631951011539da2fe83f2844ca245,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -7403,8 +9062,14 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 8f48c9ca2ea3101083be19344633372fe1a2efcd,Distinctive-attribute Extraction for Image Captioning,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu,

 8f4a8ba4046acc9a69583b53e1bdaa579e62c42b,Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 8f4a8ba4046acc9a69583b53e1bdaa579e62c42b,Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces,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,

+8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu,

+8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu,

+8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu,

+8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu,

+8fbe68810cbc53521395829620060cf9558231cc,Learning Discriminant Person-Specific Facial Models Using Expandable Graphs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8f89d6ef6c9e3ee4883595f94b38ab01d05d7b21,CR-GAN: Learning Complete Representations for Multi-view Generation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 8f89d6ef6c9e3ee4883595f94b38ab01d05d7b21,CR-GAN: Learning Complete Representations for Multi-view Generation,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,

+8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,Tokyo Denki University,Tokyo Denki University,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -7415,6 +9080,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 8fe99c3d5ad9af54641dcd6b55e2b083a363d515,Fashion and Apparel Classification using Convolutional Neural Networks,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu,

 8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8,Age Estimation Using Expectation of Label Distribution Learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8,Age Estimation Using Expectation of Label Distribution Learning,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

+8f89aed13cb3555b56fccd715753f9ea72f27f05,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,

 8f7e881d1f63c3a0367266eb65d8238453f01fdd,Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 8f5ce25e6e1047e1bf5b782d045e1dac29ca747e,A Novel Discriminant Non-Negative Matrix Factorization Algorithm With Applications to Facial Image Characterization Problems,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 8fed5ea3b69ea441a8b02f61473eafee25fb2374,Two-Dimensional PCA with F-Norm Minimization,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

@@ -7425,6 +9091,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 8f717afc3bffca1521b45c402aac576ae3263cf5,Visually Fingerprinting Humans without Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 8f717afc3bffca1521b45c402aac576ae3263cf5,Visually Fingerprinting Humans without Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 8f717afc3bffca1521b45c402aac576ae3263cf5,Visually Fingerprinting Humans without Face Recognition,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

+8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu,

 8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -7437,6 +9104,8 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 8f3d5f9ad240c186971edc652f8385dc2a53d2eb,Model-Based Background Subtraction System Application Domain : Pedestrian Tracking,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 8f0b2d24dab016764eebeaa2070d31801948f6f5,Unified Perceptual Parsing for Scene Understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 8f0b2d24dab016764eebeaa2070d31801948f6f5,Unified Perceptual Parsing for Scene Understanding,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications",India,India,India,20.59368400,78.96288000,edu,

+8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications",India,India,India,20.59368400,78.96288000,edu,

 8faa4f2e287ff1bcaba2e0cd84d82a66bb2982f5,Pedestrian Detection with RCNN,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 8f3da45ff0c3e1777c3a7830f79c10f5896bcc21,Riding Role Agent Vehicle Place Role Agent Vehicle Place Value Man Horse outside Value Dog Skateboard,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 8f5facdc0a2a79283864aad03edc702e2a400346,Human Age Estimation Framework using Bio-Inspired Features for Facial Image,Bangalore Institute of Technology,Bangalore Institute of Technology,"Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India",12.95512590,77.57419850,edu,

@@ -7450,6 +9119,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 8f8a5be9dc16d73664285a29993af7dc6a598c83,Neural Network based Face Recognition with Gabor Filters,Jahangirnagar University,Jahangirnagar University,"Jahangirnagar University, 1342, University Main Road, সাভার, সাভার উপজেলা, ঢাকা জেলা, ঢাকা বিভাগ, 1342, বাংলাদেশ",23.88331200,90.26939210,edu,

 8f81eb82cd046891c88163bc7b472dcc779f5f08,TokyoTechCanon at TRECVID 2012,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 8f48b2da711417d1f1f39069501577c84abb8d37,Elevated amygdala response to faces and gaze aversion in autism spectrum disorder.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+8f4c8a80e94a883356ee4c4425324dac5457661a,Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8f1758a6b6e01f6a866c1a1302e20886796da390,Incremental Face-Specific Subspace for Online-Learning Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 8f19b4212d0fbd955f8a464530188ce68d0a87fa,Photorealistic Facial Synthesis in the Dimensional Affect Space,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,

 8f19b4212d0fbd955f8a464530188ce68d0a87fa,Photorealistic Facial Synthesis in the Dimensional Affect Space,University of Oulu,University 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,

@@ -7459,6 +9129,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 91bfea1584199561ff0e4788722457502c61e762,Multi-class Co-training Learning for Object and Scene Recognition,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu,

 9103148dd87e6ff9fba28509f3b265e1873166c9,Face Analysis using 3 D Morphable Models,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 9103148dd87e6ff9fba28509f3b265e1873166c9,Face Analysis using 3 D Morphable Models,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+912f1f57a010194047b6438cc1ea6bec95c6c2b8,ContextVP: Fully Context-Aware Video Prediction,"ETH Zurich, Zurich, Switzerland","ETH Zurich, Zurich, Switzerland","Technoparkstrasse 1, 8005 Zürich, Switzerland",47.39005860,8.51632480,edu,

 919b1f80f818c2c1710a674536d4957890bbfd82,Targeted Kernel Networks: Faster Convolutions with Attentive Regularization,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,

 91e507d2d8375bf474f6ffa87788aa3e742333ce,Robust face recognition using probabilistic facial trait code,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 91f9f6623abc51086183cf1d2ea9954f503061fe,A2-Nets: Double Attention Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -7466,6 +9137,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 91f9f6623abc51086183cf1d2ea9954f503061fe,A2-Nets: Double Attention Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 91f9f6623abc51086183cf1d2ea9954f503061fe,A2-Nets: Double Attention Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 919d0e681c4ef687bf0b89fe7c0615221e9a1d30,To my wife Soheila and my little daughter Niloufar,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+91c014ff243ea747ea3a84a9efd4a3e38a7217ee,Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 91d216e72a774b10c1eac9bce5b1046fac8c8a97,Garments Texture Design Class Identification Using Deep Convolutional Neural Network,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu,

 91495c689e6e614247495c3f322d400d8098de43,A Deep-Learning Approach to Facial Expression Recognition with Candid Images,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu,

 91ea1d8f11c4e3a20234888f6ea5309678975563,Disconnected Manifold Learning for Generative Adversarial Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

@@ -7486,12 +9158,14 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 919327d4f264775bd4ab2923d7786d5b2c859409,An X-T slice based method for action recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 9114f5247562c0a71ea9aef23d474e06dd96d8cb,Neural Sign Language Translation,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 9114f5247562c0a71ea9aef23d474e06dd96d8cb,Neural Sign Language Translation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

-9107543d9a9d915c92fe4139932c5d818cfc187d,INVESTIGATION OF NEW TECHNIQUES FOR FACE DETECTION,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+9107543d9a9d915c92fe4139932c5d818cfc187d,INVESTIGATION OF NEW TECHNIQUES FOR FACE DETECTION,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 9151f229e7b4e318b0b12afe99993da0ee5e0e34,Adversarial Multi-task Learning for Text Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 9151f229e7b4e318b0b12afe99993da0ee5e0e34,Adversarial Multi-task Learning for Text Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+9151f229e7b4e318b0b12afe99993da0ee5e0e34,Adversarial Multi-task Learning for Text Classification,China,China,China,35.86166000,104.19539700,edu,

 91bf682708317b1c84365ce9589c4c1d9fc014e8,Style Separation and Synthesis via Generative Adversarial Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 91bf682708317b1c84365ce9589c4c1d9fc014e8,Style Separation and Synthesis via Generative Adversarial Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 91bf682708317b1c84365ce9589c4c1d9fc014e8,Style Separation and Synthesis via Generative Adversarial Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+91ee88754cc7a193d51656a3b53e16389bf4aadb,Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 910524c0d0fe062bf806bb545627bf2c9a236a03,Improvement of Facial Expression Recognition through the Evaluation of Dynamic and Static Features in Video Sequences,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu,

 910524c0d0fe062bf806bb545627bf2c9a236a03,Improvement of Facial Expression Recognition through the Evaluation of Dynamic and Static Features in Video Sequences,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu,

 911ee14fbd3f0b9ccbd91090fbe4aa65d73f46f5,AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks.,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

@@ -7506,18 +9180,22 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 912f107002506ab8c7ae411c8d34c200ba567b02,Optimal UV spaces for facial morphable model construction,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,

 916498961a51f56a592c3551b0acc25978571fa7,Optimal landmark detection using shape models and branch and bound,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 916498961a51f56a592c3551b0acc25978571fa7,Optimal landmark detection using shape models and branch and bound,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

+91f2b2aeb7e65d0b673ed7e782488b3365027979,NUS-PRO: A New Visual Tracking Challenge,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+914fd65d29094e434346806bdddeb17d9468610d,SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION,India,India,India,20.59368400,78.96288000,edu,

 9184b0c04013bfdfd82f4f271b5f017396c2f085,Semantic Segmentation for Line Drawing Vectorization Using Neural Networks,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 919a0ff94dc43f2afbb4d165ed061c9e89436968,Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+919a0ff94dc43f2afbb4d165ed061c9e89436968,Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks,China,China,China,35.86166000,104.19539700,edu,

 91a4ebf1ca0314a74c436729700ef09bddaa6222,Detailed Human Avatars from Monocular Video,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 9114fa9c4e3c2fc310b6e265636ba9acf6cc689c,Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 9194c206269a09c251cb3d1c878f9f11639b053a,A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu,

 91b8f1e4299b0f7ad716ece76565c6689d5d1b98,"How clever is the FiLM model, and how clever can it be?",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 91b8f1e4299b0f7ad716ece76565c6689d5d1b98,"How clever is the FiLM model, and how clever can it be?",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 91b8f1e4299b0f7ad716ece76565c6689d5d1b98,"How clever is the FiLM model, and how clever can it be?",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+9131c990fad219726eb38384976868b968ee9d9c,Deep Facial Expression Recognition: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 91c184e7fb0c7cce5319b8db85c1488b3861976f,Visual Question Answer Diversity,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 91c184e7fb0c7cce5319b8db85c1488b3861976f,Visual Question Answer Diversity,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 91c184e7fb0c7cce5319b8db85c1488b3861976f,Visual Question Answer Diversity,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

-91df860368cbcebebd83d59ae1670c0f47de171d,"COCO Attributes: Attributes for People, Animals, and Objects",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+91df860368cbcebebd83d59ae1670c0f47de171d,"COCO Attributes: Attributes for People, Animals, and Objects",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 91df860368cbcebebd83d59ae1670c0f47de171d,"COCO Attributes: Attributes for People, Animals, and Objects",Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 91e435fe71861a8da569a089b4841522ac9aa369,ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 91e435fe71861a8da569a089b4841522ac9aa369,ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

@@ -7529,6 +9207,13 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 20523cbb076af203ae2a293074a0445fe95309e9,Classification of weather situations on single color images,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 20289282fedfd60d9d4a7153f460f5c8e0a502b8,Goal Driven Detection in Natural Scenes,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 20d17ffeb8adcbbe7cfe7b73cc998a1d20a91553,Unsupervised Class-Specific Deblurring,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

+208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu,

 20388099cc415c772926e47bcbbe554e133343d1,The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 20388099cc415c772926e47bcbbe554e133343d1,The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 205e4d6e0de81c7dd6c83b737ffdd4519f4f7ffa,A model-based facial expression recognition algorithm using Principal Components Analysis,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

@@ -7544,6 +9229,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 202dc3c6fda654aeb39aee3e26a89340fb06802a,Spatio-Temporal Instance Learning: Action Tubes from Class Supervision,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,

 20044724665208227ad54d9ea98b08dfb1420689,Evaluation of local features for person re-identification in image sequences,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 206e24f7d4b3943b35b069ae2d028143fcbd0704,Learning Structure and Strength of CNN Filters for Small Sample Size Training,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+20532b1f80b509f2332b6cfc0126c0f80f438f10,A Deep Matrix Factorization Method for Learning Attribute Representations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 20dbdf02497aa84510970d0f5e8b599073bca1bc,Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 20da5315cfe5eab69d99bbda270e73ab488a49ba,Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 20da5315cfe5eab69d99bbda270e73ab488a49ba,Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

@@ -7559,7 +9245,9 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 20b437dc4fc44c17f131713ffcbb4a8bd672ef00,Head Pose Tracking from RGBD Sensor Based on Direct Motion Estimation,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu,

 2011d4da646f794456bebb617d1500ddf71989ed,Transductive Centroid Projection for Semi-supervised Large-Scale Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 2011d4da646f794456bebb617d1500ddf71989ed,Transductive Centroid Projection for Semi-supervised Large-Scale Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

-20fa38fca576d983b1658127d5cf058962b23179,Image as Data: Automated Visual Content Analysis for Political Science,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+20fa38fca576d983b1658127d5cf058962b23179,Image as Data: Automated Visual Content Analysis for Political Science,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+20a052963f2c46aff817f34a09c396c44b3e46da,Visually Grounded Meaning Representations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2004afb2276a169cdb1f33b2610c5218a1e47332,Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 205e895e03969c96f3c482b0bd26308b16a12bd0,Image Captioning with an Intermediate Attributes Layer,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 20f8057b602ae9e24ef4ee436250f35dd9757327,AMNet: Memorability Estimation with Attention,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 20c02e98602f6adf1cebaba075d45cef50de089f,Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -7570,10 +9258,12 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 20d320529adf99aff7ca7bd562123caeaa8e7af7,Faithful Multimodal Explanation for Visual Question Answering,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 20cfb4136c1a984a330a2a9664fcdadc2228b0bc,Sparse Coding Trees with application to emotion classification,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 207e0ac5301a3c79af862951b70632ed650f74f7,Learning a Discriminative Null Space for Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+20f64a00593ae2c6ebbe87b41394335152f9b165,A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose,Jawaharlal Nehru University,"Jawaharlal Nehru University, New Delhi - India","New Mehrauli Road, Delhi 110067, India",28.54021400,77.16619490,edu,

 2050847bc7a1a0453891f03aeeb4643e360fde7d,Accio: A Data Set for Face Track Retrieval in Movies Across Age,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 2050847bc7a1a0453891f03aeeb4643e360fde7d,Accio: A Data Set for Face Track Retrieval in Movies Across Age,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 2031b062f4c41f43a32835430b1d55a422baa564,VNect: real-time 3D human pose estimation with a single RGB camera,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 20d397c8d8865133ca7bbbd824e217e9fbf5a51a,Binarized Convolutional Neural Networks for Efficient Inference on GPUs,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+20d397c8d8865133ca7bbbd824e217e9fbf5a51a,Binarized Convolutional Neural Networks for Efficient Inference on GPUs,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 20adfee9f931b48ad6ae236dc50b8106573d03f7,"AREA Annotation , Recognition and Evaluation of Actions PROCEEDINGS",University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 2081f94fb82ab8d05ca92742fe949fc97147f926,CoQA: A Conversational Question Answering Challenge,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 208a2c50edb5271a050fa9f29d3870f891daa4dc,The resolution of facial expressions of emotion.,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

@@ -7584,10 +9274,14 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul
 203a1ecdf7e488d81e5661a6735b767c4fe2b37d,Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 203a1ecdf7e488d81e5661a6735b767c4fe2b37d,Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval,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,

 20405902028e631e239cbc0ff6148f5f1d8050a0,Sherlock: Scalable Fact Learning in Images,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+2068f66a10254d457cdb5fab74b0128b24bfdb65,Learning Language-Visual Embedding for Movie Understanding with Natural-Language,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

 2068f66a10254d457cdb5fab74b0128b24bfdb65,Learning Language-Visual Embedding for Movie Understanding with Natural-Language,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 c46a4db7247d26aceafed3e4f38ce52d54361817,A CNN Cascade for Landmark Guided Semantic Part Segmentation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 c41de506423e301ef2a10ea6f984e9e19ba091b4,Modeling Attributes from Category-Attribute Proportions,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 c41de506423e301ef2a10ea6f984e9e19ba091b4,Modeling Attributes from Category-Attribute Proportions,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

+c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,India,India,India,20.59368400,78.96288000,edu,

+c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,India,India,India,20.59368400,78.96288000,edu,

+c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,India,India,India,20.59368400,78.96288000,edu,

 c458db5d616058fbd9de19acc6c82827396cf195,Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 c4b878bc74921dbc8f6cb133ce6bffb5a50668ef,3D face recognition using multicomponent feature extraction from the nasal region and its environs,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 c44177896137e5010a2b336b943c23df1f3f92d3,Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,

@@ -7603,27 +9297,38 @@ c466ad258d6262c8ce7796681f564fec9c2b143d,Pose-Invariant Face Recognition Using A
 c42b28d722dcf2b276fe41da1a811e6bf9e68010,Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 c4934d9f9c41dbc46f4173aad2775432fe02e0e6,ENERALIZATION TO NEW COMPOSITIONS OF KNOWN ENTITIES IN IMAGE UNDERSTANDING,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

 c4934d9f9c41dbc46f4173aad2775432fe02e0e6,ENERALIZATION TO NEW COMPOSITIONS OF KNOWN ENTITIES IN IMAGE UNDERSTANDING,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

+c450b742717dd56039466c3f761982355bd0576a,Literature Assessment for Pose-Invariant Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+c450b742717dd56039466c3f761982355bd0576a,Literature Assessment for Pose-Invariant Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 c4fb2de4a5dc28710d9880aece321acf68338fde,Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 c4be56287fd666f9cfff257018a42e00dc56499d,The role of the fusiform-amygdala system in the pathophysiology of autism.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

+c4be56287fd666f9cfff257018a42e00dc56499d,The role of the fusiform-amygdala system in the pathophysiology of autism.,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 c45681fa9d9c36a6a196017ef283ac38904f91bb,Pixel-wise object tracking,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 c4458cc521d8da6faeedc8c4f09505dace844a05,Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 c4458cc521d8da6faeedc8c4f09505dace844a05,Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 c4458cc521d8da6faeedc8c4f09505dace844a05,Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 c42adbb77919328fad1fdbcc1ae7cdf12c118134,Privacy-Preserving Human Activity Recognition from Extreme Low Resolution,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 c42adbb77919328fad1fdbcc1ae7cdf12c118134,Privacy-Preserving Human Activity Recognition from Extreme Low Resolution,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+c42adbb77919328fad1fdbcc1ae7cdf12c118134,Privacy-Preserving Human Activity Recognition from Extreme Low Resolution,Xi’an Jiaotong-Liverpool University,"Xi’an Jiaotong-Liverpool University, Jiangsu, China","Wuzhong, Suzhou, China, 215123",31.27482200,120.73809400,edu,

 c4fc07072d7ebfbca471d2394b20199d8107e517,Active Mask Hierarchies for Object Detection,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 c4a57492ea32a09899c19595c123d40a07d84408,Hexagonal scale invariant feature transform ( H-SIFT ) for facial feature extraction,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 c486eeced06b1db66b7deb58496d71074b88fb86,ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 c418a3441f992fea523926f837f4bfb742548c16,A Computer Approach for Face Aging Problems,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 c423b0a0b7232a5cd0c3f4c75164923a3f04cdcd,Kernel Discriminant Learning with Application to Face Recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,India,India,India,20.59368400,78.96288000,edu,

+c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,India,India,India,20.59368400,78.96288000,edu,

 c4fe488c0cff49e1ed6de1425ede27900005fd87,Multi-scale Location-Aware Kernel Representation for Object Detection,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 c4fe488c0cff49e1ed6de1425ede27900005fd87,Multi-scale Location-Aware Kernel Representation for Object Detection,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 c437d0485217685f9ea42c33e492090b58de1db6,Mining Histopathological Images via Composite Hashing and Online Learning,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 c437d0485217685f9ea42c33e492090b58de1db6,Mining Histopathological Images via Composite Hashing and Online Learning,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 c44c84540db1c38ace232ef34b03bda1c81ba039,Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 c44c84540db1c38ace232ef34b03bda1c81ba039,Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

+c4ac98154efdd73fd3ec9954dfb5ed32b95f7ca5,Face Recognition Based on Improved Space Variant,China,China,China,35.86166000,104.19539700,edu,

 c4ac98154efdd73fd3ec9954dfb5ed32b95f7ca5,Face Recognition Based on Improved Space Variant,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 c4f4122d16e1fdb77cb94152d0d1222b69ddc32b,Face Image Superresolution via Locality Preserving Projection and Sparse Coding,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+c4f4122d16e1fdb77cb94152d0d1222b69ddc32b,Face Image Superresolution via Locality Preserving Projection and Sparse Coding,China,China,China,35.86166000,104.19539700,edu,

 c48ee576130473efe6dc3ee47f552bc581aa68b2,Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 c48ee576130473efe6dc3ee47f552bc581aa68b2,Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases,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,

 c43ed9b34cad1a3976bac7979808eb038d88af84,Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model,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,

@@ -7642,6 +9347,7 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep
 8eeac4ca19ddc919423c42447c28ce546a25c4f8,Image composition for object pop-out,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,

 8e457222d6f38847489d63557ec2e0de7356e2a5,Super-resolution pipeline for fast adjudication in watchlist screening,University of Oulu,University 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,

 8e4355225f0db7945952fbdf29e234e71313d30b,3D Human Pose Estimation with Relational Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+8edcd935362c899e630349784e4ff8adb3a69cdc,Person re-identification using deformable patch metric learning,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 8e4ff1aa78f8997b683f873c46999f384db4de18,Renewing the respect for similarity,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 8e4ff1aa78f8997b683f873c46999f384db4de18,Renewing the respect for similarity,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 8ed33184fccde677ec8413ae06f28ea9f2ca70f3,Multimodal Visual Concept Learning with Weakly Supervised Techniques,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

@@ -7649,12 +9355,16 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep
 8e4808e71c9b9f852dc9558d7ef41566639137f3,Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 8e861a7809905a003fffa821574e68ae0c0788e7,Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 8e0ab1b08964393e4f9f42ca037220fe98aad7ac,UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition,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,

+8ea56e4697430d1dbc728bad5a6e8ebafcced835,Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8eae6ed5fa66b5eb63bdb6cc23d3b385a7fee37c,A 3 D Dynamic Database for Unconstrained Face Recognition,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 8e7548911c41b6f3a6ccbda6d3ab913eaa41e721,Feature Learning with Rank-Based Candidate Selection for Product Search,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 8e610860a0a273d5a2676e9d53328820f2f59a85,Diversity in Fashion Recommendation Using Semantic Parsing,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+8e610860a0a273d5a2676e9d53328820f2f59a85,Diversity in Fashion Recommendation Using Semantic Parsing,Staqu Technologies,Staqu Technologies,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India",28.48127500,77.10044670,edu,

+8e461978359b056d1b4770508e7a567dbed49776,LOMo: Latent Ordinal Model for Facial Analysis in Videos,India,India,India,20.59368400,78.96288000,edu,

 8e36255da222c01a880c9b88d61f139f7bdba62f,Graph filtering for data reduction and reconstruction,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 8e7c647d8e8ba726b03f7e7c5cc395f86b9de9be,Parsing Pose of People with Interaction,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 8e54329a35b11e48d398dd3df3b27c72f48f5b2b,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+8e54329a35b11e48d398dd3df3b27c72f48f5b2b,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 8e54329a35b11e48d398dd3df3b27c72f48f5b2b,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 8ee5b1c9fb0bded3578113c738060290403ed472,Extending explicit shape regression with mixed feature channels and pose priors,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 8e0a86634b286567433736a667e3a0bb7902470e,Dense Semantic Image Segmentation with Objects and Attributes,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -7667,9 +9377,12 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep
 8e368144360042aad69703a6bffd56e1e72f2af4,Revisiting Graph Construction for Fast Image Segmentation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 8e3c97e420e0112c043929087d6456d8ab61e95c,Robust Global Motion Compensation in Presence of Predominant Foreground,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 8ec82da82416bb8da8cdf2140c740e1574eaf84f,Lip Reading in Profile,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+8ec82da82416bb8da8cdf2140c740e1574eaf84f,Lip Reading in Profile,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 8e88a97e09a853cf768ca1c732ba5f008fff77ca,Regularized Residual Quantization: a multi-layer sparse dictionary learning approach,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 8e74244e220a1c9e89417caa1ad22f649884d311,ArtTrack: Articulated Multi-Person Tracking in the Wild,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 8e69534ae2f00025226c3a46dc6efb4faa3d396a,Object Class Detection Using Local Image Features and Point Pattern Matching Constellation Search,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+8e64f7f38db57ddc197cc7a9c51b914920ee99cc,AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING,India,India,India,20.59368400,78.96288000,edu,

+8e8c141e06d52cee1917b7268abca315bf3af714,Random-Profiles-Based 3D Face Recognition System,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 8e8c141e06d52cee1917b7268abca315bf3af714,Random-Profiles-Based 3D Face Recognition System,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 8e956117b2e22470814778fed6f4641e475efb44,Learning Attribute Representations with Localization for Flexible Fashion Search,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 8e956117b2e22470814778fed6f4641e475efb44,Learning Attribute Representations with Localization for Flexible Fashion Search,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

@@ -7681,8 +9394,9 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep
 8e0ad1ccddc7ec73916eddd2b7bbc0019d8a7958,Segment-based SVMs for Time Series Analysis,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,

 8e325b234e9cb67c285fc256c7e51d5e326952d1,Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection,Singapore Management University,Singapore Management University,"Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore",1.29500195,103.84909214,edu,

 8e325b234e9cb67c285fc256c7e51d5e326952d1,Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+8e325b234e9cb67c285fc256c7e51d5e326952d1,Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection,China,China,China,35.86166000,104.19539700,edu,

 a1aa6bd76b28ed4c9273a4bd9241745bdeacddff,A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

-a1aa6bd76b28ed4c9273a4bd9241745bdeacddff,A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a1aa6bd76b28ed4c9273a4bd9241745bdeacddff,A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a1653e88be986aee2f37792c3fb05f0ee7fbef94,Generative Semantic Manipulation with Mask-Contrasting GAN,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,

 a1653e88be986aee2f37792c3fb05f0ee7fbef94,Generative Semantic Manipulation with Mask-Contrasting GAN,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 a14db48785d41cd57d4eac75949a6b79fc684e70,Fast High Dimensional Vector Multiplication Face Recognition,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

@@ -7701,6 +9415,7 @@ a1ee55d529e04a80f4eae3b30d0961a985a64fa4,Enabling low bitrate mobile visual reco
 a1c1970f7c728cc96aea798d65d38df7c9ea61dc,Eye Location Using Genetic Algorithm,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 a1a49e2c1a424ef2dc6a5cf787d5eadf8421aaa1,Human Body Segmentation based on Background Estimation in Modified HLS Color Space,Dankook University,Dankook University,"단국대학교 치과병원, 죽전로, 죽전동, 수지구, 용인시, 경기, 16900, 대한민국",37.32195750,127.12507230,edu,

 a1dd88f44d045b360569a9a8721f728afbd951c3,Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+a1dd88f44d045b360569a9a8721f728afbd951c3,Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN,China,China,China,35.86166000,104.19539700,edu,

 a165619977bc69a910a771e1096551073122775b,Computational crowd camera : enabling remote-vision via sparse collective plenoptic sampling,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low quality and low bit rate video: A deep learning approach,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low quality and low bit rate video: A deep learning approach,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu,

@@ -7708,10 +9423,15 @@ a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low qua
 a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low quality and low bit rate video: A deep learning approach,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 a1997d89f544cc862c63a972ef364b2ff38982e9,Can SNOMED CT Changes Be Used as a Surrogate Standard for Evaluating the Performance of Its Auditing Methods?,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 a1997d89f544cc862c63a972ef364b2ff38982e9,Can SNOMED CT Changes Be Used as a Surrogate Standard for Evaluating the Performance of Its Auditing Methods?,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

+a16fb74ea66025d1f346045fda00bd287c20af0e,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu,

+a16fb74ea66025d1f346045fda00bd287c20af0e,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu,

 a16fb74ea66025d1f346045fda00bd287c20af0e,A Coupled Evolutionary Network for Age Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 a1e1e7e976c22af9de26d9b74c2ece282e20218c,Looking at My Own Face: Visual Processing Strategies in Self–Other Face Recognition,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 a155fcf9063a7a33368488123578180a0d1a5a78,An Autonomous Indoor Navigation System Based on Visual Scene Recognition Using Deep Neural Networks,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

+a1b1442198f29072e907ed8cb02a064493737158,Crowdsourcing Facial Responses to Online Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a1ffab629c19b9c04fb047dae0471d3de73f3738,Leveraging Unlabeled Data for Crowd Counting by Learning to Rank,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+a1e97c4043d5cc9896dc60ae7ca135782d89e5fc,"Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+a175f20189f028a1420b76ae42f6dfe99d8d6847,Where and Why Are They Looking ? Jointly Inferring Human Attention and Intentions in Complex Tasks,China,China,China,35.86166000,104.19539700,edu,

 a1557a512ff254a27c11810d362609c237ff6e30,Predicting Images using Convolutional Networks : Visual Scene Understanding with Pixel Maps,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 a10176b3a926ea57812366a0675471b7aaec4b0d,Efficient Pedestrian Detection at Nighttime Using a Thermal Camera,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 a1ee0176a9c71863d812fe012b5c6b9c15f9aa8a,Affective recommender systems: the role of emotions in recommender systems,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

@@ -7727,6 +9447,7 @@ a1b5b0697e46eecc9657954311828cc9b4113a26,Semantic Segmentation With Object Cliqu
 a125bc55bdf4bec7484111eea9ae537be314ec62,Real-time Facial Expression Recognition in Image Sequences Using an AdaBoost-based Multi-classifier,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu,

 a125bc55bdf4bec7484111eea9ae537be314ec62,Real-time Facial Expression Recognition in Image Sequences Using an AdaBoost-based Multi-classifier,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu,

 d1f3fb7e8be9d8db50f29403ffbbf6ec58623e61,Embodied Question Answering,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705,Local Color Contrastive Descriptor for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d140c5add2cddd4a572f07358d666fe00e8f4fe1,Statistically Learned Deformable Eye Models,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,

 d185f4f05c587e23c0119f2cdfac8ea335197ac0,"Chapter III Facial Expression Analysis , Modeling and Synthesis : Overcoming the Limitations of Artificial Intelligence with the Art of the Soluble",TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 d185f4f05c587e23c0119f2cdfac8ea335197ac0,"Chapter III Facial Expression Analysis , Modeling and Synthesis : Overcoming the Limitations of Artificial Intelligence with the Art of the Soluble",Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu,

@@ -7737,14 +9458,19 @@ d1ba33106567c880bf99daba2bd31fe88df4ecba,Deep Adaptive Feature Embedding with Lo
 d1ba33106567c880bf99daba2bd31fe88df4ecba,Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 d1a32ecb951a233584d796f067aaae4951dfdf77,Context Refinement for Object Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 d119734d8b140aa22efa571fb22d29ac92452666,Audio-visual person identification on the XM2VTS database,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+d12c343e60f9cc1a0c6c94c138f38e6bffe22001,Diverse Sampling for Self-Supervised Learning of Semantic Segmentation,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

+d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,China,China,China,35.86166000,104.19539700,edu,

 d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,China,China,China,35.86166000,104.19539700,edu,

 d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 d1496833b9a14d87c1bafd0d5031cc1629ca2b87,TextureGAN: Controlling Deep Image Synthesis with Texture Patches,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+d1dd0c714950cbd89f76ec6b039201eadf74cade,Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 d16968e5baac6d26b9cef5034f9d84bcc3ec627c,"Children Facial Expression Production: Influence of Age, Gender, Emotion Subtype, Elicitation Condition and Culture",Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 d16968e5baac6d26b9cef5034f9d84bcc3ec627c,"Children Facial Expression Production: Influence of Age, Gender, Emotion Subtype, Elicitation Condition and Culture",Hiroshima University,Hiroshima University,"Hiroshima University　広島大学 東広島キャンパス, 出会いの道　Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu,

+d138270d3c06e85fa2c3da6f953818da4b72313a,An Analytical Framework for Estimating Scale-Out and Scale-Up Power Efficiency of Heterogeneous Manycores,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d1b0d2ec2f01c3aab06119192cf9ba23146cc662,"Explanatory Dialogs : Towards Actionable , Interactive Explanations Gagan Bansal",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 d1d9e6027288cdd64509ea62f88a3cbd9320c180,Automated Markerless Analysis of Human Gait Motion for Recognition and Classification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 d16f37a15f6385a6a189b06833745da5d524f69b,Hebb repetition effects for non-verbal visual sequences: determinants of sequence acquisition.,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu,

@@ -7755,9 +9481,13 @@ d1c204da4e0ab653c32ae8fc325d5b69641b6ed7,Learning Globally Optimized Object Dete
 d1c204da4e0ab653c32ae8fc325d5b69641b6ed7,Learning Globally Optimized Object Detector via Policy Gradient,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 d1c204da4e0ab653c32ae8fc325d5b69641b6ed7,Learning Globally Optimized Object Detector via Policy Gradient,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 d1836e137787fadb28d3418e029534765bcf1dae,"Analysis, Synthesis and Recognition of Human Faces with Pose Variations",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,

+d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,India,India,India,20.59368400,78.96288000,edu,

+d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,India,India,India,20.59368400,78.96288000,edu,

 d13e81c7a3d6f62948a68663acfecc3a480d9b1c,Scaling Distributed All-Pairs Algorithms: Manage Computation and Limit Data Replication with Quorums,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu,

 d1d15291dadc44f0cd192dc88bab3b10e2b07ccd,"“I Look in Your Eyes, Honey”: Internal Face
                     Features Induce Spatial Frequency Preference for Human Face Processing",University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

+d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d115c4a66d765fef596b0b171febca334cea15b5,Combining Stacked Denoising Autoencoders and Random Forests for Face Detection,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu,

 d10eff69699591d26dbb69ed17d8afe06bc581db,Wasserstein Introspective Neural Networks,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e,Neural Person Search Machines,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

@@ -7770,25 +9500,35 @@ d182c6d9ac4777b5ad73afdd64b7b68d76037212,Aligned Image-Word Representations Impr
 d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu,

 6f7a8b3e8f212d80f0fb18860b2495be4c363eac,Creating Capsule Wardrobes from Fashion Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 6f7a8b3e8f212d80f0fb18860b2495be4c363eac,Creating Capsule Wardrobes from Fashion Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 6f2b36cadf3dd1648b709e9b4f4c19ffa1939ed1,Striking the Right Balance with Uncertainty,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

 6f9824c5cb5ac08760b08e374031cbdabc953bae,Unconstrained human identification using comparative facial soft biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 6fb33358bc7e1a73e88b4a87fb0962366ab959c9,Fuzzy 3D Face Ethnicity Categorization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 6f8de996c9659459d4dc6a10cb3d8a43cb846422,Explainable Neural Computation via Stack Neural Module Networks,"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,

 6f8de996c9659459d4dc6a10cb3d8a43cb846422,Explainable Neural Computation via Stack Neural Module Networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 6f4a671537c9e60f042808451ff0fc06032d1221,Play and Learn: Using Video Games to Train Computer Vision Models,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+6fe149e588a5bf15bf89edfedb1a29cc31384ddc,Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 6fac6fb9b2fff94e2babc4906646cf6427c591a0,TRECVid 2011 SED : Sequence-Based Event Detection in Surveillance Video,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+6fac6fb9b2fff94e2babc4906646cf6427c591a0,TRECVid 2011 SED : Sequence-Based Event Detection in Surveillance Video,China,China,China,35.86166000,104.19539700,edu,

 6f71862aa00d61fc8fd7f205de35ee8af458ec0c,Semi-supervised Learning of Instance-level Recognition from Video,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,

 6fef65bd7287b57f0c3b36bf8e6bc987fd161b7d,Deep Discriminative Model for Video Classification,University of Oulu,University 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,

+6fed504da4e192fe4c2d452754d23d3db4a4e5e3,Learning Deep Features via Congenerous Cosine Loss for Person Recognition,China,China,China,35.86166000,104.19539700,edu,

 6fed504da4e192fe4c2d452754d23d3db4a4e5e3,Learning Deep Features via Congenerous Cosine Loss for Person Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu,

 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 6f491fcff042991767a8d5c3a919ce169e0e65f0,Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

-6f44303f9664a4ceabd0f4bc74cb3886aad5012f,An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de,Crowd Counting via Scale-Adaptive Convolutional Neural Network,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

+6f44303f9664a4ceabd0f4bc74cb3886aad5012f,An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 6f44303f9664a4ceabd0f4bc74cb3886aad5012f,An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 6fe83b5fdeeb6d92f24af3aed6a34c5bf9ce8845,Face Recognition Based on Local Directional Pattern Variance ( LDPv ),Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu,

+6f2bc1a4fbe3e00881b56c145a568264bd3c76f1,Spectral Regression dimension reduction for multiple features facial image retrieval,China,China,China,35.86166000,104.19539700,edu,

 6f97f9959015cb0e93fba000ae468d22b4c5078a,A Discriminative and Compact Audio Representation for Event Detection,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+6f97f9959015cb0e93fba000ae468d22b4c5078a,A Discriminative and Compact Audio Representation for Event Detection,"International Computer Science Institute, Berkeley, CA","International Computer Science Institute, Berkeley, CA, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu,

 6f97f9959015cb0e93fba000ae468d22b4c5078a,A Discriminative and Compact Audio Representation for Event Detection,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 6f1c84d5a137ad14e5de9a8728fced8044d05b79,SketchyScene: Richly-Annotated Scene Sketches,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 6f1c84d5a137ad14e5de9a8728fced8044d05b79,SketchyScene: Richly-Annotated Scene Sketches,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -7801,6 +9541,7 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 6fea198a41d2f6f73e47f056692f365c8e6b04ce,Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 6fee701352f0f5c4abea3e918ddcf078243253cc,ALCOHOL AND REMEMBERING SEXUAL ASSAULT 1 Alcohol and remembering a hypothetical sexual assault : Can people who were under the influence of alcohol during the event provide accurate testimony ?,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 6fbc58272384ede0efa72753d78f1ef6db381ad7,Robust Face Recognition with Deeply Normalized Depth Images,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

+6f53466b17a2f9da4dbd1d870e822a1f8e837044,Image Aesthetic Assessment: An experimental survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6f4a596c80b5ccaf44a076760761c4f132920b11,Integrating Visual and Linguistic Information to Describe Properties of Objects,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 6f4ec006b6b9da4982169adea2914aa3d14ee753,Adversarial Robustness: Softmax versus Openmax,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu,

 6f3a1216e984c78e7374b3b7ab05612544d345eb,DeRPN: Taking a further step toward more general object detection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

@@ -7809,21 +9550,28 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 6f84e61f33564e5188136474f9570b1652a0606f,Dual Motion GAN for Future-Flow Embedded Video Prediction,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,

 6f640d448f00321b9b3bddb3a787cacd2f45cd1a,Stereo 3D Object Trajectory Reconstruction,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 6f26ab7edd971148723d9b4dc8ddf71b36be9bf7,Differences in Abundances of Cell-Signalling Proteins in Blood Reveal Novel Biomarkers for Early Detection Of Clinical Alzheimer's Disease,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

+6f288a12033fa895fb0e9ec3219f3115904f24de,Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4,Do-gooder derogation in children: the social costs of generosity,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4,Do-gooder derogation in children: the social costs of generosity,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4,Do-gooder derogation in children: the social costs of generosity,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 6fa0c206873dcc5812f7ea74a48bb4bf4b273494,Real-Time Mobile Facial Expression Recognition System -- A Case Study,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 6fc7b0df95146389c780004f7aee6d09358d71ad,A comprehensive review on intelligent surveillance systems,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

+6f41b528abc34c249038f612a6c1033790ace628,Discriminant Subspace Analysis: An Adaptive Approach for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,India,India,India,20.59368400,78.96288000,edu,

+6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,India,India,India,20.59368400,78.96288000,edu,

 6f9c01a9b861882c6676227942005cef13f3cb29,Cross Quality Distillation,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 6f73807e309b262c5761c7a73c6a5609679f9f02,Shadow and Specular Removal by Photometric Linearization based on PCA with Outlier Exclusion,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 6fbd67c047fdcec3ec157173b4dd28b44cdb3589,A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 6f68ca4cc05ef8db344f0bf1ee394e93d519e77e,Matrix Factorization as Search,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

+6fbb179a4ad39790f4558dd32316b9f2818cd106,Input Aggregated Network for Face Video Representation,China,China,China,35.86166000,104.19539700,edu,

 6fbb179a4ad39790f4558dd32316b9f2818cd106,Input Aggregated Network for Face Video Representation,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 6f813ccf106360cc9c3d6df849cc04d881d0a6e8,"360 ◦ User Profiling : Past , Future , and Applications",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 6f813ccf106360cc9c3d6df849cc04d881d0a6e8,"360 ◦ User Profiling : Past , Future , and Applications",Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 6faab65a009b36ee3f79d3e4afdf3cc84d57cd67,Adversarial Learning for Semi-supervised Semantic Segmentation,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 6faab65a009b36ee3f79d3e4afdf3cc84d57cd67,Adversarial Learning for Semi-supervised Semantic Segmentation,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

+6f0900a7fe8a774a1977c5f0a500b2898bcbe149,Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 6f0900a7fe8a774a1977c5f0a500b2898bcbe149,Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+6f0900a7fe8a774a1977c5f0a500b2898bcbe149,Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 6fc1e886659838b2ca08dbaca291420785fd51bd,Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 483e19f50ff47b0bf5e57b0cea65a7f084779b92,Annotation Artifacts in Natural Language Inference Data,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 483e19f50ff47b0bf5e57b0cea65a7f084779b92,Annotation Artifacts in Natural Language Inference Data,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,

@@ -7847,18 +9595,32 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 480040b64a972bf51f8debabc4f9421fd2c7b829,"Towards recognizing ""cool"": can end users help computer vision recognize subjective attributes of objects in images?",Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 488fff23542ff397cdb1ced64db2c96320afc560,Weakly supervised localization of novel objects using appearance transfer,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 480492ca998b3393b370d176d1f990a3db1c8e12,Factorized Binary Codes for Large-Scale Nearest Neighbor Search,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+486a82f50835ea888fbc5c6babf3cf8e8b9807bc,Face Search at Scale: 80 Million Gallery,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4836b084a583d2e794eb6a94982ea30d7990f663,Cascaded Face Alignment via Intimacy Definition Feature,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+4836b084a583d2e794eb6a94982ea30d7990f663,Cascaded Face Alignment via Intimacy Definition Feature,China,China,China,35.86166000,104.19539700,edu,

 4823dcfb0bdc1af20e4da85035b8fc2c71a6add1,Exploring Structural Information and Fusing Multiple Features for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4896909796f9bd2f70a2cb24bf18daacd6a12128,Spatial Bag of Features Learning for Large Scale Face Image Retrieval,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 48910f9b6ccc40226cd4f105ed5291571271b39e,Learning Discriminative Fisher Kernels,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 482a31cd4705f3d56e468cc33486847fc100f568,Dynamic probabilistic CCA for analysis of affective behaviour,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,

 482a31cd4705f3d56e468cc33486847fc100f568,Dynamic probabilistic CCA for analysis of affective behaviour,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 482a31cd4705f3d56e468cc33486847fc100f568,Dynamic probabilistic CCA for analysis of affective behaviour,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+48a442646483d9777a2c5864a8e5f6d1a4851396,Kickstarting the Commons: The YFCC100M and the YLI Corpora,"International Computer Science Institute, Berkeley, CA","International Computer Science Institute, Berkeley, CA, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu,

 488375ae857a424febed7c0347cc9590989f01f7,Convolutional neural networks for the analysis of broadcasted tennis games,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu,

 48850f2f66b3f3b6bb93638ac2edae6060b79521,Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

-480888bad59b314236f2d947ebf308ae146c98e4,Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+480888bad59b314236f2d947ebf308ae146c98e4,Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 484c380c322b2b5cb5756c9e94608949fb5d5e4d,Temporal face embedding and propagation in photo collections,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 48734cb558b271d5809286447ff105fd2e9a6850,Facial Expression Recognition Using Enhanced Deep 3 D Convolutional Neural Networks,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu,

+488e475eeb3bb39a145f23ede197cd3620f1d98a,Pedestrian Attribute Classification in Surveillance: Database and Evaluation,China,China,China,35.86166000,104.19539700,edu,

 48048f2fe3705d7d645450f31696045bf3c8312e,BubbleView: an alternative to eye-tracking for crowdsourcing image importance,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 48048f2fe3705d7d645450f31696045bf3c8312e,BubbleView: an alternative to eye-tracking for crowdsourcing image importance,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 48048f2fe3705d7d645450f31696045bf3c8312e,BubbleView: an alternative to eye-tracking for crowdsourcing image importance,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

@@ -7869,6 +9631,9 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 48cdb6a640b4259c61c476fb529d7c176e8345a9,PERCEIVED INTELLIGENCE BEYOND ATTRACTIVENESS 3 Eyelid-Openness and Mouth Curvature Influence Perceived,University of St Andrews,University of St Andrews,"University of St Andrews, North Street, Albany Park Student accommodation, Carngour, St Andrews, Fife, Scotland, KY16 9AJ, UK",56.34119840,-2.79309380,edu,

 482e8a9323fca1e27fccf03d2a58a36873d0ae10,Assessing Social Cognition of Persons with Schizophrenia in a Chinese Population: A Pilot Study,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 482e8a9323fca1e27fccf03d2a58a36873d0ae10,Assessing Social Cognition of Persons with Schizophrenia in a Chinese Population: A Pilot Study,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

+482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,India,India,India,20.59368400,78.96288000,edu,

+482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,India,India,India,20.59368400,78.96288000,edu,

+48bf7357723abf7770400d68f914d6a7ca5a1a5f,Real-Time Head Pose Tracking with Online Face Template Reconstruction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4839567c67252f9ddb44f7cffc61d7b929b7dec0,Boosted cannabis image recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4813d9332a1f3ef2bf5846e81005895322310bed,21 3 D Face Recognition,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,

 482321a30da9edc4da8efb73f8e7d763c56811f2,Categorizing Turn-Taking Interactions,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -7883,6 +9648,7 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 48b9f9ddf17bd29b957b09f9000576e53acf8719,Ringtail: Feature Selection For Easier Nowcasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 48b9f9ddf17bd29b957b09f9000576e53acf8719,Ringtail: Feature Selection For Easier Nowcasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 48b9f9ddf17bd29b957b09f9000576e53acf8719,Ringtail: Feature Selection For Easier Nowcasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+486e5c2996726ec0f7c37077a2752dc4bd8c1413,Linearized Smooth Additive Classifiers,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 48ffb705e94dde426b7241108ca915a5ecab6414,The Human Factor: Behavioral and Neural Correlates of Humanized Perception in Moral Decision Making,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu,

 48729e4de8aa478ee5eeeb08a72a446b0f5367d5,Compressed face hallucination,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 488cb054f61378809cdcea5b08b5005d392b07ce,Tracklet Association with Online Target-Specific Metric Learning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

@@ -7890,6 +9656,8 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 48fea82b247641c79e1994f4ac24cad6b6275972,Mining discriminative components with low-rank and sparsity constraints for face recognition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 48143b1270a2df096577e6681b1f1ceadacf73e8,An Improved Evaluation Framework for Generative Adversarial Networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 48a417cfeba06feb4c7ab30f06c57ffbc288d0b5,Robust Dictionary Learning by Error Source Decomposition,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

+48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 48a9241edda07252c1aadca09875fabcfee32871,Convolutional Experts Network 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,

 48a9241edda07252c1aadca09875fabcfee32871,Convolutional Experts Network 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,

 48a9241edda07252c1aadca09875fabcfee32871,Convolutional Experts Network 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,

@@ -7898,32 +9666,44 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne
 48f0055295be7b175a06df5bc6fa5c6b69725785,Facial Action Unit Recognition from Video Streams with Recurrent Neural Networks,University of the Witwatersrand,University of the Witwatersrand,"University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa",-26.18888130,28.02479073,edu,

 48810b60f1fe6fcb344538d5de8c54e5d64c20bb,Deep Sketch-Photo Face Recognition Assisted by Facial Attributes,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 f42d3225afd9e463ddb7a355f64b54af8bd14227,Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+f4901354f843b058bef649d14a9fc67c51943da8,Poster : Image Suitability for Graphical Passwords,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu,

+f4901354f843b058bef649d14a9fc67c51943da8,Poster : Image Suitability for Graphical Passwords,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu,

 f4901354f843b058bef649d14a9fc67c51943da8,Poster : Image Suitability for Graphical Passwords,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 f4aafb50c93c5ad3e5c4696ed24b063a1932915a,What would you look like in Springfield ? Linear Transformations between High-Dimensional Spaces,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f442e57e13d1da68723d68cb68d7c78e1788cc7f,Running head : AUTOMATIC MENTAL STATE DETECTION 1 Automated Mental State Detection for Mental Healthcare,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 f4c029044afa6cb3b08d5e47701d532b3aed9a40,A Clustering Based Approach for Realistic and Efficient Data-Driven Crowd Simulation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+f496235629c02c98ad83b37d3d054ccfd0de0131,Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch,India,India,India,20.59368400,78.96288000,edu,

 f408ee71b9db38ec1b1b785057d50d6e0d9b30ba,LiDAR-Video Driving Dataset : Learning Driving Policies Effectively,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 f4557028562003c13eeca41b175dd4f4a03659bd,Part-based Deformable Object Detection with a Single Silhouette Sketch,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 f4557028562003c13eeca41b175dd4f4a03659bd,Part-based Deformable Object Detection with a Single Silhouette Sketch,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+f4557028562003c13eeca41b175dd4f4a03659bd,Part-based Deformable Object Detection with a Single Silhouette Sketch,India,India,India,20.59368400,78.96288000,edu,

 f4210309f29d4bbfea9642ecadfb6cf9581ccec7,An Agreement and Sparseness-based Learning Instance Selection and its Application to Subjective Speech Phenomena,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 f4210309f29d4bbfea9642ecadfb6cf9581ccec7,An Agreement and Sparseness-based Learning Instance Selection and its Application to Subjective Speech Phenomena,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,

 f4065d13bcad78b563108075f650c29a2f3f1917,Cost Effective Conceptual Design for Semantic Annotation,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 f4065d13bcad78b563108075f650c29a2f3f1917,Cost Effective Conceptual Design for Semantic Annotation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 f4aabc7d1dd76dff357d65084ac04afd73051ca8,"Chapter I Audio-Visual and Visual-Only Speech and Speaker Recognition : Issues about Theory , System Design , and Implementation",Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu,

+f4aabc7d1dd76dff357d65084ac04afd73051ca8,"Chapter I Audio-Visual and Visual-Only Speech and Speaker Recognition : Issues about Theory , System Design , and Implementation",Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

+f4afc9ebafce950b81081e25efc2d8f5fb1f17e7,Tag-aware image classification via Nested Deep Belief nets,China,China,China,35.86166000,104.19539700,edu,

 f467eb5e7f9d49ab318401f961109882c00f2720,Face/Off: Preventing Privacy Leakage From Photos in Social Networks,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 f4f9697f2519f1fe725ee7e3788119ed217dca34,Selfie-Presentation in Everyday Life: A Large-Scale Characterization of Selfie Contexts on Instagram,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 f4865cd9d6a2b26cf6656a399ca7c3cc1668d556,Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 f46097e264c7b0e47c4b1d1b476e5e6c1db9cc30,Bird Nest Images Classification Based on Canny Edge Detection and Local Binary Pattern,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

+f44f13a8245bed66fff16a50d6ecc6d56151029d,Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

+f4b729d218139f1e93cc9d4df05fbf699d2e9d07,Introduction to the Special Issue on Recent Advances in Biometric Systems,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f4af49a1ead3c81cc5d023878cb67c5646dd8a04,Learning a Recurrent Visual Representation for Image Caption Generation,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,

-f4af49a1ead3c81cc5d023878cb67c5646dd8a04,Learning a Recurrent Visual Representation for Image Caption Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+f4af49a1ead3c81cc5d023878cb67c5646dd8a04,Learning a Recurrent Visual Representation for Image Caption Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 f4421adced24d729d5ed22559308c2b4719b44c2,End-to-end 3 D face reconstruction with deep neural networks,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 f437b3884a9e5fab66740ca2a6f1f3a5724385ea,Human identification technical challenges,DARPA,DARPA,"3701 Fairfax Dr, Arlington, VA 22203, USA",38.88334130,-77.10459770,mil,"3701 N. Fairfax Dr., Arlington, VA 22203"

 f499e84b489b0b4afe86e303803871700e561063,"A Framework for Fashion Data Gathering, Hierarchical-Annotation and Analysis for Social Media and Online Shop TOOLKIT FOR DETAILED STYLE ANNOTATIONS FOR ENHANCED FASHION RECOMMENDATION","KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 f4b15fdcaaa3ad604b82df05f5d7f59dbcfe861d,An Event Reconstruction Tool for Conflict Monitoring Using Social Media,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,

 f43eeb578e0ca48abfd43397bbd15825f94302e4,Optical computer recognition of facial expressions associated with stress induced by performance demands.,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 f4a397577302ad1f270c2541e6230064882921cc,Hard to Cheat: A Turing Test based on Answering Questions about Images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+f43463770d361e55fb6f6eb801a6e8530ab668cd,Corpus Construction and Semantic Analysis of Indonesian Image Description,India,India,India,20.59368400,78.96288000,edu,

 f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,China,China,China,35.86166000,104.19539700,edu,

+f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,China,China,China,35.86166000,104.19539700,edu,

 f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,China,China,China,35.86166000,104.19539700,edu,

 0a79d0ba1a4876086e64fc0041ece5f0de90fbea,FACE ILLUMINATION NORMALIZATION WITH SHADOW CONSIDERATION,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,

 0a85afebaa19c80fddb660110a4352fd22eb2801,Neural Animation and Reenactment of Human Actor Videos,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 0a85afebaa19c80fddb660110a4352fd22eb2801,Neural Animation and Reenactment of Human Actor Videos,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -7946,17 +9726,22 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,China,China,China,35.86166000,104.19539700,edu,

 0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,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,

 0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,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,

 0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,University of Oulu,University 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,

+0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 0ad1fefa54f69d9efa0112f2e60c19841d5e9346,ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering,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,

 0ad1fefa54f69d9efa0112f2e60c19841d5e9346,ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering,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,

+0a6c36de8726b6feaab586046ddc1d1a008f44f9,Filtered channel features for pedestrian detection,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0a34fe39e9938ae8c813a81ae6d2d3a325600e5c,FacePoseNet: Making a Case for Landmark-Free Face Alignment,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

 0ad119275960fd1b68004feeb84d41b91bc273c8,Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 0aa405447a8797e509521f0570e4679a42fdac9b,Discriminately decreasing discriminability with learned image filters,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 0a64f4fec592662316764283575d05913eb2135b,Joint Pixel and Feature-level Domain Adaptation in the Wild,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 0a9345ea6e488fb936e26a9ba70b0640d3730ba7,Deep Bi-directional Cross-triplet Embedding for Cross-Domain Clothing Retrieval,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 0a9345ea6e488fb936e26a9ba70b0640d3730ba7,Deep Bi-directional Cross-triplet Embedding for Cross-Domain Clothing Retrieval,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+0a60d9d62620e4f9bb3596ab7bb37afef0a90a4f,Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu,

+0a4ba4d5bd6e07a31fa4586322fd5e07d9f9975e,Online Bayesian Nonparametrics for Group Detection,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 0a561e6f0aecd182ddaf526220acc75f6583816e,CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 0a5718f6a60ca18e6b6de5660c49040ac0045d7a,Automatic classification of the Parkinson ’ s patient stiffness from a single videosequence,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 0a5718f6a60ca18e6b6de5660c49040ac0045d7a,Automatic classification of the Parkinson ’ s patient stiffness from a single videosequence,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

@@ -7967,6 +9752,9 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu,

 0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu,

 0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu,

+0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

+0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

+0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu,

 0ae910ef0cb2f193a43d3a592b7b62ef8bd13058,Weakly Supervised Saliency Detection with A Category-Driven Map Generator,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 0a789733ccb300d0dd9df6174faaa7e8c64e0409,High-Resolution Multispectral Dataset for Semantic Segmentation,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 0a11b82aa207d43d1b4c0452007e9388a786be12,Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

@@ -7980,6 +9768,8 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0a5ffc55b584da7918c2650f9d8602675d256023,Efficient Face Alignment via Locality-constrained Representation for Robust Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 0a5ffc55b584da7918c2650f9d8602675d256023,Efficient Face Alignment via Locality-constrained Representation for Robust Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 0aae88cf63090ea5b2c80cd014ef4837bcbaadd8,3D Face Structure Extraction from Images at Arbitrary Poses and under Arbitrary Illumination Conditions,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu,

+0a391c4d7aafa73324549f212cf28640ed471a81,From Caregivers to Peers: Puberty Shapes Human Face Perception.,Pennsylvania State University,Pennsylvania State University,,,,edu,

+0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,China,China,China,35.86166000,104.19539700,edu,

 0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

@@ -7989,7 +9779,9 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0a71b71421d8a33c41625963d19d5df85685dffc,Analyzing Behavior Specialized Acceleration,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 0a850a9fc853c358aea1167e1f965cda8980b7fd,INDREX: in-database distributional relation extraction,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 0a13581afdae66bcf52755bfb53410e6e54c1840,Restricting Greed in Training of Generative Adversarial Network,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

+0adb5923fb1955f7ca0a85454afe17e5d25425df,Crowd motion monitoring using tracklet-based commotion measure,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 0aa303109a3402aa5a203877847d549c4a24d933,Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+0a2aca07c9e15de3d5924e156af9a8e1a67b4cab,Person Reidentification With Reference Descriptor,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0aa0e5f96d512fcd2357129ad4363d6ae961327e,Unsupervised Hard Example Mining from Videos for Improved Object Detection,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 0aa74ad36064906e165ac4b79dec298911a7a4db,Variational Inference for the Indian Buffet Process,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

 0aa74ad36064906e165ac4b79dec298911a7a4db,Variational Inference for the Indian Buffet Process,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

@@ -8003,12 +9795,20 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0ad6dc4554fd5c0212993677c160af31fd27e243,Measuring Crowd Collectiveness,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 0ad6dc4554fd5c0212993677c160af31fd27e243,Measuring Crowd Collectiveness,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 0a81e5c6429a85564ba742726850109ae07dd24c,Perceptually Inspired Layout-Aware Losses for Image Segmentation,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu,

-0a81e5c6429a85564ba742726850109ae07dd24c,Perceptually Inspired Layout-Aware Losses for Image Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+0a81e5c6429a85564ba742726850109ae07dd24c,Perceptually Inspired Layout-Aware Losses for Image Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0a808a17f5c86413bd552a324ee6ba180a12f46d,Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 0a267d927cfae039cf0a9c995a59ded563344eb6,Model Selection Management Systems: The Next Frontier of Advanced Analytics,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

+0a267d927cfae039cf0a9c995a59ded563344eb6,Model Selection Management Systems: The Next Frontier of Advanced Analytics,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0a52919e4473eb7bc20982094e8497570d797b13,Building Class Sensitive Models for Tracking Applications,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu,

 0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0ae80aa149764e91544bbe45b80bb50434e7bda9,Ambient Sound Provides Supervision for Visual Learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+0a1138276c52c734b67b30de0bf3f76b0351f097,Discriminant Incoherent Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,Pennsylvania State University,Pennsylvania State University,,,,edu,

+0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,Pennsylvania State University,Pennsylvania State University,,,,edu,

+0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,Pennsylvania State University,Pennsylvania State University,,,,edu,

 0ae247153afd87f98829359a8b5df0f68d788d75,A Corpus for Reasoning About Natural Language Grounded in Photographs,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 0ae247153afd87f98829359a8b5df0f68d788d75,A Corpus for Reasoning About Natural Language Grounded in Photographs,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 0a70401d161c6c180d84e8139ee8bfbaadb2baad,Image retagging,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

@@ -8019,8 +9819,13 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0a814669f4a0198e46a3a0d91a1bbb81bb089216,"Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders.",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 0a814669f4a0198e46a3a0d91a1bbb81bb089216,"Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders.",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 0a814669f4a0198e46a3a0d91a1bbb81bb089216,"Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders.",University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0af7632427f70f2327cdf5188b814fa55d7551df,Hidden Markov models for face recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 0ae427cc645162f1a110ffce7b94cd9400138527,Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e,A Unified Semantic Embedding: Relating Taxonomies and Attributes,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 0ae8377a984125802a69a93df7c9fe640b55aeac,Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 0ae8377a984125802a69a93df7c9fe640b55aeac,Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 0ae8377a984125802a69a93df7c9fe640b55aeac,Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

@@ -8028,10 +9833,12 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 0a096971eb2ae77572ae35617c1742fea8a1f86a,Deep Ordinal Regression Network for Monocular Depth Estimation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 0a096971eb2ae77572ae35617c1742fea8a1f86a,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,

 0a0d5283439f088c158fcec732e2593bb3cd57ad,Who Blocks Who: Simultaneous clothing segmentation for grouping images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+0a058caa89d195930224148d3d2897c0c08fc668,Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 0aa74a922604e200fb92194301d4a4786cc1a74c,Human Factors in Forensic Face Identification,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 0aa74a922604e200fb92194301d4a4786cc1a74c,Human Factors in Forensic Face Identification,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 0aa74a922604e200fb92194301d4a4786cc1a74c,Human Factors in Forensic Face Identification,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 0ad8149318912b5449085187eb3521786a37bc78,CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval,University of Caen,University of Caen,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

+0ad8149318912b5449085187eb3521786a37bc78,CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval,India,India,India,20.59368400,78.96288000,edu,

 0a0321785c8beac1cbaaec4d8ad0cfd4a0d6d457,Learning Invariant Deep Representation for NIR-VIS Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 268e91262c85ff1ce99dfc5751e2b6e44c808325,26 Frequency Domain Face Recognition,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,

 260fca0b9eb144fc54f1872b8cc418ae3fdce756,Class-specific nonlinear subspace learning based on optimized class representation,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

@@ -8045,7 +9852,10 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 265c53ce3fbdb3f2623c4b20f38b94d3ed1d878c,Face Destylization,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 266ed43dcea2e7db9f968b164ca08897539ca8dd,Beyond Principal Components: Deep Boltzmann Machines for face modeling,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 266ed43dcea2e7db9f968b164ca08897539ca8dd,Beyond Principal Components: Deep Boltzmann Machines for face modeling,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,

+2654ef92491cebeef0997fd4b599ac903e48d07a,Facial expression recognition from near-infrared video sequences,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 2654ef92491cebeef0997fd4b599ac903e48d07a,Facial expression recognition from near-infrared video sequences,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+2654ef92491cebeef0997fd4b599ac903e48d07a,Facial expression recognition from near-infrared video sequences,China,China,China,35.86166000,104.19539700,edu,

+26d3f57dd09efff6315ae0064cdad4877f5297d7,Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly,China,China,China,35.86166000,104.19539700,edu,

 26d3f57dd09efff6315ae0064cdad4877f5297d7,Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 26d3f57dd09efff6315ae0064cdad4877f5297d7,Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 26acc572c644d57445170a309daf7765aca6ab45,Learning for Sequential Classification,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

@@ -8054,10 +9864,13 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 261c3e30bae8b8bdc83541ffa9331b52fcf015e6,Shape-from-shading Driven 3D Morphable Models for Illumination Insensitive Face Recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 26cd9c812c279347ae96db31cee1cbee0f646fa4,Harnessing ISA diversity: Design of a heterogeneous-ISA chip multiprocessor,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,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,

+2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 2633ee01b41edf9df7bf399e55e14d0c7412523a,Robust Face Recognition through Local Graph Matching,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 2633ee01b41edf9df7bf399e55e14d0c7412523a,Robust Face Recognition through Local Graph Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+2643a611f10ce8acfef41e1e49d1be04d5d34190,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu,

+2643a611f10ce8acfef41e1e49d1be04d5d34190,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu,

 26a471a491c2fb162ad403ed932b481d386306c7,Fast Zero-Shot Image Tagging,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 267bd60e442d87c44eaae3290610138e63d663ab,PoseTrack: Joint Multi-person Pose Estimation and Tracking,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 267bd60e442d87c44eaae3290610138e63d663ab,PoseTrack: Joint Multi-person Pose Estimation and Tracking,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

@@ -8083,6 +9896,7 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 2625314d30a8dfaf918e93a8e7b243b2e078d191,An Adversarial Approach to Hard Triplet Generation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 2625314d30a8dfaf918e93a8e7b243b2e078d191,An Adversarial Approach to Hard Triplet Generation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 267c8798a5c602dae05908b63f031dbdb81fc42b,Amodal Instance Segmentation,"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,

+26c884829897b3035702800937d4d15fef7010e4,Facial Expression Recognition by Supervised Independent Component Analysis Using MAP Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 269248eb8a44da5248cef840f7079b1294dbf237,The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 269248eb8a44da5248cef840f7079b1294dbf237,The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 261b3869bf60d4049acaf251f9015ff644299e45,Sparse Representation for Face Recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

@@ -8091,7 +9905,7 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 26a44feb7a64db7986473ca801c251aa88748477,Unsupervised Learning of Mixture Models with a Uniform Background Component,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

-264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 26c9e57116061594ef843141a6a8bc49759f766c,Beyond Physical Connections: Tree Models in Human Pose Estimation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 26c58e24687ccbe9737e41837aab74e4a499d259,"Codemaps - Segment, Classify and Search Objects Locally",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,

@@ -8099,21 +9913,26 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 26aa0aff1ea1baf848a521363cc455044690e090,A 2 D + 3 D Rich Data Approach to Scene Understanding by Jianxiong,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 2670c4b556264605c32326f49ab4a8b4e83ab57f,Looking ahead: Anticipatory cueing of attention to objects others will look at.,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu,

 2670c4b556264605c32326f49ab4a8b4e83ab57f,Looking ahead: Anticipatory cueing of attention to objects others will look at.,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

+26c89f890da91119ffa16d5a23fba963257ef3fc,Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 261a7be6c650de797c7490aeeefba98662acaa20,Shell PCA: Statistical Shape Modelling in Shell Space,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 261a7be6c650de797c7490aeeefba98662acaa20,Shell PCA: Statistical Shape Modelling in Shell Space,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 26eb2c900814707ae962184ad4173e754247a80a,Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes,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,

+267bb08aa4eeefa1ef653716ca0ab572748a3a4e,Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 26029a63b2377ef81e3898f55bb204fd853c3e31,PRISM: PRincipled Implicit Shape Model,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 260aed27abfe751b3d90aad9c0805d35c359ebd5,Efficient Learning of Domain-invariant Image Representations,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 26d407b911d1234e8e3601e586b49316f0818c95,[POSTER] Feasibility of Corneal Imaging for Handheld Augmented Reality,Coburg University,Coburg University,"Hochschule für angewandte Wissenschaften Coburg, 2, Friedrich-Streib-Straße, Callenberg, Coburg, Oberfranken, Bayern, 96450, Deutschland",50.26506145,10.95196483,edu,

 264f7ab36ff2e23a1514577a6404229d7fe1242b,Facial Expression Recognition by De-expression Residue Learning,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu,

 159e792096756b1ec02ec7a980d5ef26b434ff78,Signed Laplacian Embedding for Supervised Dimension Reduction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 159e792096756b1ec02ec7a980d5ef26b434ff78,Signed Laplacian Embedding for Supervised Dimension Reduction,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,China,China,China,35.86166000,104.19539700,edu,

+15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,China,China,China,35.86166000,104.19539700,edu,

 15885415819f2a9db8eee46ea6b6224c759801fa,Face Recognition with Local Binary Patterns,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 1576ed0f3926c6ce65e0ca770475bca6adcfdbb4,Keep it accurate and diverse: Enhancing action recognition performance by ensemble learning,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 15b0e598d9692d77aa33370dd3a1a47ba5f99aa6,Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 158452a25143013e4c406ee2d41a7399c34df3db,Detecting Snap Points in Egocentric Video with a Web Photo Prior,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 1565721ebdbd2518224f54388ed4f6b21ebd26f3,Face and landmark detection by using cascade of classifiers,Eskisehir Osmangazi University,Eskisehir Osmangazi University,"Eskişehir Osmangazi Üniversitesi Meşelik Yerleşkesi, Kütahya-Eskişehir yolu, Sazova Mahallesi, Karagözler, Tepebaşı, Eskişehir, İç Anadolu Bölgesi, 26160, Türkiye",39.74875160,30.47653071,edu,

 1565721ebdbd2518224f54388ed4f6b21ebd26f3,Face and landmark detection by using cascade of classifiers,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

+1548cea1fa9be7a23d4d1e38086336913d501e44,Semantic 3 D Reconstruction of Heads Supplementary Material,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1504eae5487e1e062fef96e1e424de5d3a5a3858,MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding,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,

 1504eae5487e1e062fef96e1e424de5d3a5a3858,MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding,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,

 1504eae5487e1e062fef96e1e424de5d3a5a3858,MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding,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,

@@ -8122,11 +9941,14 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 158e32579e38c29b26dfd33bf93e772e6211e188,Automated Real Time Emotion Recognition using Facial Expression Analysis,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu,

 152ca42d6701db43dbd8a37901d56a52e4a9e6f9,Social negative bootstrapping for visual categorization,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,

 158974dc6503cb4939b87a1fffe17871e8a48c91,Local Sparse Discriminant Analysis for Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+15df73918e084a146cd215b839a3eec1cc813a78,Projection Peak Analysis for Rapid Eye Localization,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

+156b194d0cee545337524bd993ae640ed227b79e,RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT ANALYSIS BASED 3 D FACE RECOGNITION USING KNN AND SVM,India,India,India,20.59368400,78.96288000,edu,

 15fbe139cbfd19513763db06b8ffa2e21168ca4e,GestureGAN for Hand Gesture-to-Gesture Translation in the Wild,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 15fbe139cbfd19513763db06b8ffa2e21168ca4e,GestureGAN for Hand Gesture-to-Gesture Translation in the Wild,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 15a0546ee32ac391f342a6188446dd6699a1d7b8,Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

 15252b7af081761bb00535aac6bd1987391f9b79,Estimation of eye gaze direction angles based on active appearance models,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

 1505e0aea7f82488dad1448e79b22c3b0ebc65cf,"Fast , Approximate 3 D Face Reconstruction from Multiple Views",University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

+15f70a0ad8903017250927595ae2096d8b263090,Learning Robust Deep Face Representation,China,China,China,35.86166000,104.19539700,edu,

 15d653972d176963ef0ad2cc582d3b35ca542673,CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 15810b5057730a1c7c047d47f42a94dafc0fd95a,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,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,

 15810b5057730a1c7c047d47f42a94dafc0fd95a,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,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,

@@ -8144,12 +9966,18 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 1564bf0a268662df752b68bee5addc4b08868739,With whom do I interact? Detecting social interactions in egocentric photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 1582c29d0f752f95a12f5a8ce08d5e5c752f6822,Developmental changes in infants' categorization of anger and disgust facial expressions.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 156cd2a0e2c378e4c3649a1d046cd080d3338bca,Exemplar based approaches on Face Fiducial Detection and Frontalization,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+156cd2a0e2c378e4c3649a1d046cd080d3338bca,Exemplar based approaches on Face Fiducial Detection and Frontalization,India,India,India,20.59368400,78.96288000,edu,

 155199d7f10218e29ddaee36ebe611c95cae68c4,Towards Scalable Visual Navigation of Micro Aerial Vehicles,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 155199d7f10218e29ddaee36ebe611c95cae68c4,Towards Scalable Visual Navigation of Micro Aerial Vehicles,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,

+1542b8a1805d73a755d4b2eb402c5c861e6acd02,PMCTrack: Delivering Performance Monitoring Counter Support to the OS Scheduler,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,India,India,India,20.59368400,78.96288000,edu,

+15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,India,India,India,20.59368400,78.96288000,edu,

+15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,India,India,India,20.59368400,78.96288000,edu,

 150855fdaca2ff3ae5a51da4f82f120a92cac104,SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 15e1af79939dbf90790b03d8aa02477783fb1d0f,Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 151481703aa8352dc78e2577f0601782b8c41b34,Appearance Manifold of Facial Expression,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 1586871a1ddfe031b885b94efdbff647cf03eff1,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,"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,

@@ -8164,8 +9992,12 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo
 15db3bb041ee06a369f0cd478369c75618a35387,Pathological game use in adults with and without Autism Spectrum Disorder,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 15912abb1fe1457bb358d2d2b0e586c1987b6e25,Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks,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,

 15122ef718265beb4cb1a74e5d1f41c5edcb4ba5,On the Euclidean distance of images,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+15122ef718265beb4cb1a74e5d1f41c5edcb4ba5,On the Euclidean distance of images,China,China,China,35.86166000,104.19539700,edu,

+157d2c6dd8c9999b251099ef4211cff8030ae486,Invariance properties of Gabor filter-based features-overview and applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 15cf7bdc36ec901596c56d04c934596cf7b43115,Face Extraction from Image based on K-Means Clustering Algorithms,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

+1536579229a334640735725e0b886f8d03aca1e8,Rank of Experts: Detection Network Ensemble,"Electronics and Telecommunications Research Institute, Daejeon, South Korea","Electronics and Telecommunications Research Institute, Daejeon, South Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu,

 15811446dce3242813160e68cf79e30a8c03dcbe,Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

+1553084dcbf2235428e7dbf57b57e567c5ea4d1f,AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale,China,China,China,35.86166000,104.19539700,edu,

 1574abc94d22b03f8c9630f0eb7ad1f8ed67880e,Cross-View Image Synthesis using Conditional GANs,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 bea0bb77c0d75c3d70fefc274bfbff93a3eff015,Video Captioning with Transferred Semantic Attributes,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 bea0bb77c0d75c3d70fefc274bfbff93a3eff015,Video Captioning with Transferred Semantic Attributes,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

@@ -8173,25 +10005,34 @@ bebb8a97b2940a4e5f6e9d3caf6d71af21585eda,Mapping Emotional Status to Facial Expr
 be86d88ecb4192eaf512f29c461e684eb6c35257,Automatic Attribute Discovery and Characterization from Noisy Web Data,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 be86d88ecb4192eaf512f29c461e684eb6c35257,Automatic Attribute Discovery and Characterization from Noisy Web Data,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 beea33ccd9423d48d6cfb928469bbe7841e63e73,DIARETDB 1 diabetic retinopathy database and evaluation protocol,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+beea33ccd9423d48d6cfb928469bbe7841e63e73,DIARETDB 1 diabetic retinopathy database and evaluation protocol,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 be84d76093a791bf78bed74ef1d7db54abeca878,Open World Face Recognition with Credibility and Confidence Measures,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

 beb0239feac388e4ee04492159a45f7e2c71e1e3,POI: Multiple Object Tracking with High Performance Detection and Appearance Feature,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 beb0239feac388e4ee04492159a45f7e2c71e1e3,POI: Multiple Object Tracking with High Performance Detection and Appearance Feature,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 beecaf2d6e9d102b6b2459ea38e15179a4b55ffd,Surveillance Video Parsing with Single Frame Supervision,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+beecaf2d6e9d102b6b2459ea38e15179a4b55ffd,Surveillance Video Parsing with Single Frame Supervision,China,China,China,35.86166000,104.19539700,edu,

 bef6daed8cd1ac90ee1c0a42e5c019bbf523491c,"Total Variation, Cheeger Cuts","University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 be2188396e61d8839f6aa32a357eabc3b70ddb23,ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 be57d2aaab615ec8bc1dd2dba8bee41a4d038b85,Automatic Analysis of Naturalistic Hand-Over-Face Gestures,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 be2ce56434c8cf50c08f8be6f4f9b9f7c716eabd,A convnet for non-maximum suppression,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 be9cab9e9040b667e7902a4d9fbf1a358b350d60,Pedestrian detection and tracking using HOG and oriented-LBP features,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2,Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization,India,India,India,20.59368400,78.96288000,edu,

+be993d793e393127e3fb34d27fda255894edaedc,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+beb49072f5ba79ed24750108c593e8982715498e,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data,China,China,China,35.86166000,104.19539700,edu,

 beb49072f5ba79ed24750108c593e8982715498e,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+beb49072f5ba79ed24750108c593e8982715498e,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data,China,China,China,35.86166000,104.19539700,edu,

 be4f7679797777f2bc1fd6aad8af67cce5e5ce87,Interestingness Prediction by Robust Learning to Rank,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 be4f7679797777f2bc1fd6aad8af67cce5e5ce87,Interestingness Prediction by Robust Learning to Rank,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu,

 be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu,

 be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu,

 be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu,

+be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 be5276e9744c4445fe5b12b785650e8f173f56ff,Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 be5276e9744c4445fe5b12b785650e8f173f56ff,Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 be5276e9744c4445fe5b12b785650e8f173f56ff,Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -8205,6 +10046,7 @@ bedc1572ecf2a46aa5a0c49315fcb1bc26dd74e5,Towards a theory of computation in the
 bec2c65a8419b9ecaf04e8c854b5ad391894a6f1,Construction of a bird image dataset for ecological investigations,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 bed8a74e75ed96868ce81ed1080433ef5be66a52,Supervising the New with the Old: Learning SFM from SFM,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 bec31269632c17206deb90cd74367d1e6586f75f,Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild,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,

+bea2c35ef78eb40df52e27cf4098f28a79bcbad5,TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 be15ea7d7caa1468afba5a7dc63965e2eb54ec08,Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs),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,

 be28ed1be084385f5d389db25fd7f56cd2d7f7bf,Exploring computation-communication tradeoffs in camera systems,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 be28ed1be084385f5d389db25fd7f56cd2d7f7bf,Exploring computation-communication tradeoffs in camera systems,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

@@ -8219,16 +10061,19 @@ be7bb84581b09f47668966d0cb70df0876c84a21,Fixation detection for head-mounted eye
 becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition via Structured Sparsity,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

 becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition via Structured Sparsity,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition via Structured Sparsity,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

-19d1855e021561d6da9d0200bb18e47f51cddda6,Visual Storytelling,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+be72b20247fb4dc4072d962ced77ed89aa40372f,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN",Russia,Russia,Russia,61.52401000,105.31875600,edu,

+19d1855e021561d6da9d0200bb18e47f51cddda6,Visual Storytelling,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 19d1855e021561d6da9d0200bb18e47f51cddda6,Visual Storytelling,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,

 1947791685597368400ca0429695658d1f68541c,Physiological responses to social and nonsocial stimuli in neurotypical adults with high and low levels of autistic traits: implications for understanding nonsocial drive in autism spectrum disorders.,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 1947791685597368400ca0429695658d1f68541c,Physiological responses to social and nonsocial stimuli in neurotypical adults with high and low levels of autistic traits: implications for understanding nonsocial drive in autism spectrum disorders.,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

+1910f5f7ac81d4fcc30284e88dee3537887acdf3,Semantic Based Hypergraph Reranking Model for Web Image Search,India,India,India,20.59368400,78.96288000,edu,

 1921e0a97904bdf61e17a165ab159443414308ed,Retrieval of Web Images for Computer Vision Research,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

 191e58d41835d59b918759efb9d7b59fd8e5ee00,Branch and track,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 191e58d41835d59b918759efb9d7b59fd8e5ee00,Branch and track,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 193debca0be1c38dabc42dc772513e6653fd91d8,Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,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,

 193debca0be1c38dabc42dc772513e6653fd91d8,Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 193debca0be1c38dabc42dc772513e6653fd91d8,Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,University of Oulu,University 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,

+199fdc3c0b73d9469d2e732c97e889bfc8bf8bff,"Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1903276bb462d3ccd4f1fac3a8e34a53045ef8a1,Attention-Aware Face Hallucination via Deep Reinforcement Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 192c7672216dcfb60da0e7953c1b044d1c209d3d,Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 192c7672216dcfb60da0e7953c1b044d1c209d3d,Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -8239,12 +10084,16 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v
 192235f5a9e4c9d6a28ec0d333e36f294b32f764,Reconfiguring the Imaging Pipeline for Computer Vision,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,

 192235f5a9e4c9d6a28ec0d333e36f294b32f764,Reconfiguring the Imaging Pipeline for Computer Vision,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 19997d39447e570c7030a214eb4d81e3669ffd1f,Ultrasound confidence maps and applications in medical image processing,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+1938d85feafdaa8a65cb9c379c9a81a0b0dcd3c4,Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1938d85feafdaa8a65cb9c379c9a81a0b0dcd3c4,Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1938d85feafdaa8a65cb9c379c9a81a0b0dcd3c4,Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 19676dd4422301a11aa5fe5e5316e2c412987302,Synthesizing Samples for Zero-shot Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 19676dd4422301a11aa5fe5e5316e2c412987302,Synthesizing Samples for Zero-shot Learning,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 1958da636ce92d36c0985a6cb00696d90b2475f3,Upper Body Pose Estimation with Temporal Sequential Forests,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu,

 1958da636ce92d36c0985a6cb00696d90b2475f3,Upper Body Pose Estimation with Temporal Sequential Forests,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+1958da636ce92d36c0985a6cb00696d90b2475f3,Upper Body Pose Estimation with Temporal Sequential Forests,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 19a9f658ea14701502d169dc086651b1d9b2a8ea,Structural models for face detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+1957956856dc04ebee5815bd62874687e2af7260,Joint Optical Flow and Temporally Consistent Semantic Segmentation,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 19d3b02185ad36fb0b792f2a15a027c58ac91e8e,Im2Text: Describing Images Using 1 Million Captioned Photographs,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 19458454308a9f56b7de76bf7d8ff8eaa52b0173,Deep Features for Recognizing Disguised Faces in the Wild,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 1929863fff917ee7f6dc428fc1ce732777668eca,UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition,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,

@@ -8254,6 +10103,7 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v
 19cd6053bbb9b9c67da0c0881e31019f9ce28154,Random Laplace Feature Maps for Semigroup Kernels on Histograms,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

 191f8b564c4f90d2ba7423fcce4efd7e902f4f77,"Weakly Supervised Learning of Objects, Attributes and their Associations",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 19d1b811df60f86cbd5e04a094b07f32fff7a32a,Three-dimensional face recognition: an eigensurface approach,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+197f945b66995e4d006497808586f828f8a88a86,Part Discovery from Partial Correspondence,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 19242af1c54b2c876b3a930f2406b9553f294fba,Learning Subjective Adjectives from Images by Stacked Convolutional Auto-Encoders,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 19e62a56b6772bbd37dfc6b8f948e260dbb474f5,Cross-Domain Metric Learning Based on Information Theory,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 19e62a56b6772bbd37dfc6b8f948e260dbb474f5,Cross-Domain Metric Learning Based on Information Theory,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -8261,15 +10111,23 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v
 199c2df5f2847f685796c2523221c6436f022464,Self quotient image for face recognition,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu,

 19dd12ccc9c6997c9cecdaf12f937812066827aa,Knowledge Transfer for Scene-specific Motion Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+192723085945c1d44bdd47e516c716169c06b7c0,Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 19150b001031cc6d964e83cd28553004f653cc24,Visual Relationship Detection with Language Priors,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 197c406b95340dfcdef542db532e0f7a967b9cda,Softer-NMS: Rethinking Bounding Box Regression for Accurate Object 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,

 1922ad4978ab92ce0d23acc4c7441a8812f157e5,Face alignment by coarse-to-fine shape searching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1922ad4978ab92ce0d23acc4c7441a8812f157e5,Face alignment by coarse-to-fine shape searching,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 19be4580df2e76b70a39af6e749bf189e1ca3975,Adversarial Binary Coding for Efficient Person Re-identification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 19da9f3532c2e525bf92668198b8afec14f9efea,Challenge : Face verification across age progression using real-world data,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

+19bc52323383732c3c7d73e11726f6232515d2f9,KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+191753aa338f24bb41f7bacb4326e0c0a1b90459,"Visual People Detection – Different Models , Comparison and Discussion",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,China,China,China,35.86166000,104.19539700,edu,

 19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,Santa Clara University,Santa Clara University,"Cowell Center, Accolti Way, Santa Clara, Santa Clara County, California, 95053, USA",37.34820285,-121.93563541,edu,

 19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+19441b8be551e8134dd9eb33238309bc2de0a42f,Playing for Benchmarks,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 19e7bdf8310f9038e1a9cf412b8dd2c77ff64c54,Facial Action Coding Using Multiple Visual Cues and a Hierarchy of Particle Filters,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 19c0069f075b5b2d8ac48ad28a7409179bd08b86,Modifying the Memorability of Face Photographs,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 19bfe748ec8957ec82a7fef0f2585bb14ab8bdd4,Cross-connected Networks for Multi-task Learning of Detection and Segmentation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -8277,13 +10135,14 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v
 19a3e5495b420c1f5da283bf39708a6e833a6cc5,Attributes and categories for generic instance search from one example,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 19533bdfa47c2b770b3301cc921e5d5e7dc505ec,Face Authentication Using Adapted Local Binary Pattern Histograms,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 1921795408345751791b44b379f51b7dd54ebfa2,From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data,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,

-1921795408345751791b44b379f51b7dd54ebfa2,From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+1921795408345751791b44b379f51b7dd54ebfa2,From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 19bcd3bd41825a67f48db701a68030c5e6763152,Partial Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 19bcd3bd41825a67f48db701a68030c5e6763152,Partial Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 19bcd3bd41825a67f48db701a68030c5e6763152,Partial Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 19878141fbb3117d411599b1a74a44fc3daf296d,Eye-State Action Unit Detection by Gabor Wavelets,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 19878141fbb3117d411599b1a74a44fc3daf296d,Eye-State Action Unit Detection by Gabor Wavelets,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49,Interactive Multimodal Learning on 100 Million Images,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,

+e1e60501677ae67c6a682bac2c17e4fc904ee380,Performance Analysis of Local Binary Pattern Variants in Texture Classification,India,India,India,20.59368400,78.96288000,edu,

 e1ab3b9dee2da20078464f4ad8deb523b5b1792e,Pre-Training CNNs Using Convolutional Autoencoders,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany"

 e1ab3b9dee2da20078464f4ad8deb523b5b1792e,Pre-Training CNNs Using Convolutional Autoencoders,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany"

 e1ab3b9dee2da20078464f4ad8deb523b5b1792e,Pre-Training CNNs Using Convolutional Autoencoders,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany"

@@ -8297,11 +10156,13 @@ e11247abf2c359428d414a97ea21e0744e2ef9ac,Face Recognition from Sequential Sparse
 e104e213faa97d9a9c8b8e1f15b7431c601cb250,Modeling of facial aging and kinship: A survey,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,

 e104e213faa97d9a9c8b8e1f15b7431c601cb250,Modeling of facial aging and kinship: A survey,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 e1e85d811825ec56205fc0302ed2c86cbb85e10d,Training Group Orthogonal Neural Networks with Privileged Information,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+e1140b86c64549cbcd138f868c82ee8aad77d103,Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 e1e6a4146c082e5465cde38e9511de3d150b4ede,Targeting static and dynamic workloads with a reconfigurable VLIW processor,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+e1f815c50a6c0c6d790c60a1348393264f829e60,PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu,

 e1f041594fa37d407c80b28a13680a9ddc081c49,Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 e1f041594fa37d407c80b28a13680a9ddc081c49,Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 e1256ff535bf4c024dd62faeb2418d48674ddfa2,Towards Open-Set Identity Preserving Face Synthesis,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

-e1256ff535bf4c024dd62faeb2418d48674ddfa2,Towards Open-Set Identity Preserving Face Synthesis,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+e1256ff535bf4c024dd62faeb2418d48674ddfa2,Towards Open-Set Identity Preserving Face Synthesis,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 e1fac9e9427499d3758213daf1c781b9a42a3420,Face Image Retrieval Based on Probe Sketch Using SIFT Feature Descriptors,"National Institute of Technology, Karnataka",National Institute of Technology Karnataka,"National Institute of Technology, Karnataka, NH66, ದಕ್ಷಿಣ ಕನ್ನಡ, Mangaluru taluk, Dakshina Kannada, Karnataka, 575025, India",13.01119095,74.79498825,edu,

 e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04,Person Re-identification by Mid-level Attribute and Part-based Identity Learning,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

 e10ca043fae02972f19292efacddd8e0f216b70c,Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -8309,15 +10170,19 @@ e19a4dadf60848309c8fd7445d97918da654df76,JPEG Compressed Domain Face Recognition
 e1ec6a3ad254558aa529fe23eb815c8949291f90,Color Constancy Algorithms for Object and Face Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 e1e490b5d0a179b8eea022b64e83bbd611114d4e,Gradient-based learning of higher-order image features,University of Frankfurt,University of Frankfurt,"Frankfurt University of Applied Sciences, Kleiststraße, Nordend West, Frankfurt, Regierungsbezirk Darmstadt, Hessen, 60318, Deutschland",50.13053055,8.69234224,edu,

 e1f6e2651b7294951b5eab5d2322336af1f676dc,Emotional Avatars : Appearance Augmentation and Animation based on Facial Expression Analysis,Sejong University,"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea","209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea",37.55025960,127.07313900,edu,

+e1725b71f3f127d6a49d24f14bee05aada1e2f96,Part-Based Deep Hashing for Large-Scale Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation 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,

 e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

-e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 e121bf6f18e1cb114216a521df63c55030d10fbe,Robust Facial Component Detection for Face Alignment Applications,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 e179dee700ff26df6da3cf0cb5e0358b2080acd8,Opening the black box of deep learning,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

 e1630014a5ae3d2fb7ff6618f1470a567f4d90f5,"Look, Listen and Learn - A Multimodal LSTM for Speaker Identification",SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 e1630014a5ae3d2fb7ff6618f1470a567f4d90f5,"Look, Listen and Learn - A Multimodal LSTM for Speaker Identification",University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 e1c59e00458b4dee3f0e683ed265735f33187f77,Spectral rotation versus K-means in spectral clustering,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

+e1660c10ae661cf951602232b36047b19198f599,Web Image Search Using Attribute Assisted Re-Ranking Model,India,India,India,20.59368400,78.96288000,edu,

+e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,India,India,India,20.59368400,78.96288000,edu,

+e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,India,India,India,20.59368400,78.96288000,edu,

 e103fa24d7fa297cd206b22b3bf670bfda6c65c4,Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 e103fa24d7fa297cd206b22b3bf670bfda6c65c4,Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 e188aa199d4307fdbbf60e9e6612bcb001e1cab6,Say Cheese: Personal Photography Layout Recommendation Using 3D Aesthetics Estimation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

@@ -8338,14 +10203,18 @@ b97a155bdd86491c8d32f02d6dfe5b73aaef4549,Eliminating the mere exposure effect th
 b9e6f9e22134d4b5ac66fbf2ec7b7b702c6f4eb7,MASON: A Model AgnoStic ObjectNess Framework,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 b9df25cc4be2f703b059da93823bad6e8e8c0659,Local Gabor Binary Pattern Whitened PCA: A Novel Approach for Face Recognition from Single Image Per Person,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 b986a535e45751cef684a30631a74476e911a749,Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu,

+b9262301b11a4d41c8346626a86b603cd2e63992,A Survey of Major Techniques of Clothing in Vision ⋆,China,China,China,35.86166000,104.19539700,edu,

 b9262301b11a4d41c8346626a86b603cd2e63992,A Survey of Major Techniques of Clothing in Vision ⋆,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+b9262301b11a4d41c8346626a86b603cd2e63992,A Survey of Major Techniques of Clothing in Vision ⋆,China,China,China,35.86166000,104.19539700,edu,

 b94ec9abc3009cfcd1e45647926b4e5084d95136,Classifying Unseen Instances by Learning Class-Independent Similarity Functions,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 b9081856963ceb78dcb44ac410c6fca0533676a3,UntrimmedNets for Weakly Supervised Action Recognition and Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+b9b7b37d7edf4482a6f440e282c3418ab1913afa,ThiNet: Pruning CNN Filters for a Thinner Net.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b9b5a760de57a48eeab1259f29c6411fb66b0c85,Shape Classification Based on Skeleton Path Similarity,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

+b9b5a760de57a48eeab1259f29c6411fb66b0c85,Shape Classification Based on Skeleton Path Similarity,China,China,China,35.86166000,104.19539700,edu,

 b9e301360db78c261753aba6974c12ed2e6f9b53,Transfer Learning by Borrowing Examples for Multiclass Object Detection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 b907537c602b95948da809f7d4aff4bc959d8ba1,Superhuman Accuracy on the SNEMI3D Connectomics Challenge,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 b907537c602b95948da809f7d4aff4bc959d8ba1,Superhuman Accuracy on the SNEMI3D Connectomics Challenge,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

@@ -8356,7 +10225,9 @@ b9611a4719e32c51187be9dc20a8cd505819067c,FACE VERIFICATION BASED ON MORPHOLOGICA
 b984c9815fd556cc845adae1f9a206d2a0fa2d33,Hierarchical Relational Networks for Group Activity Recognition and Retrieval,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 b9bed097cb806ba48cd0245ab50d1a123022eafc,exposure phase : images of individuals with one linguistic attribute query phase : select instructed and evaluated barkeeper instruct evaluate instruct amuseinstruct evaluate correct answer,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu,

 b9bed097cb806ba48cd0245ab50d1a123022eafc,exposure phase : images of individuals with one linguistic attribute query phase : select instructed and evaluated barkeeper instruct evaluate instruct amuseinstruct evaluate correct answer,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+b9504e4a2f40f459b5e83143e77f4972c7888445,Experimental Analysis of Face Recognition on Still and CCTV Images,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 b9504e4a2f40f459b5e83143e77f4972c7888445,Experimental Analysis of Face Recognition on Still and CCTV Images,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+b9305c065b3c95fd0844d16a09fb9cc7c321cf58,Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumination,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 408814b17337ec901f5960069f5c447a36a42524,A multi-scale fully convolutional network for semantic labeling of 3 D point clouds,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 408814b17337ec901f5960069f5c447a36a42524,A multi-scale fully convolutional network for semantic labeling of 3 D point clouds,Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu,

@@ -8371,6 +10242,7 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina
 405ffae3b7a7702e77418de5dce0337b0596acc4,Improving Facial Action Unit Recognition Using Convolutional Neural Networks,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 4091b6a3ab33e2aa923ee23c8db7e33d167ff67a,Transductive Multi-class and Multi-label Zero-shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 40559bd43d5480000e34e4fef3e8fe3782d1a688,Active query-driven visual search using probabilistic bisection and convolutional neural networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80,Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 407bb798ab153bf6156ba2956f8cf93256b6910a,Fisher Pruning of Deep Nets for Facial Trait Classification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 40bb090a4e303f11168dce33ed992f51afe02ff7,Marginal Loss for Deep Face Recognition,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,

 40bb090a4e303f11168dce33ed992f51afe02ff7,Marginal Loss for Deep Face Recognition,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,

@@ -8379,10 +10251,17 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina
 40e30ba448a079152ccd13f9ba670aa272df66b3,"Cross-pose Facial Expression Recognition Council of Turkey (t ¨ Ub ˙ Itak) for Supporting Me with National Scholarship Pro- Gramme for M.sc. Students. I Would like to Thank My Friends Duygu Sinem Yıldırım, N. C ¸ A˘ Grı Kılıboz, Belma",Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 403ecc19291f21db6084db5c12f428e2af91ed3d,Semi-Supervised Classification Based on Mixture Graph,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu,

 403ecc19291f21db6084db5c12f428e2af91ed3d,Semi-Supervised Classification Based on Mixture Graph,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu,

+40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

+40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

+40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

+405a70c184e00eefcf797a0e842578ea0b51f6cd,Learning a Family of Detectors via Multiplicative Kernels,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 403d6a09c17268fb4bb0ae953107bf5f78ca9d05,Staining Pattern Classification of Antinuclear Autoantibodies Based on Block Segmentation in Indirect Immunofluorescence Images,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+403d6a09c17268fb4bb0ae953107bf5f78ca9d05,Staining Pattern Classification of Antinuclear Autoantibodies Based on Block Segmentation in Indirect Immunofluorescence Images,China,China,China,35.86166000,104.19539700,edu,

 404042a1dcfde338cf24bc2742c57c0fb1f48359,A Survey on Facial Features Localization,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 407de9da58871cae7a6ded2f3a6162b9dc371f38,TraMNet - Transition Matrix Network for Efficient Action Tube Proposals,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 40a5b32e261dc5ccc1b5df5d5338b7d3fe10370d,Feedback-Controlled Sequential Lasso Screening,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

+40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 401ed15f525b09c21a1316eaf16cdde6df12ba96,Feature Selective Networks for Object Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 40ee38d7ff2871761663d8634c3a4970ed1dc058,Three-Dimensional Face Recognition: A Fishersurface Approach,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 406431d2286a50205a71f04e0b311ba858fc7b6c,3D facial expression classification using a statistical model of surface normals and a modular approach,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

@@ -8393,31 +10272,42 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina
 403530d1c418de29cbc595775ec45e16183950e5,Pioneer Networks: Progressively Growing Generative Autoencoder,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 40a74eea514b389b480d6fe8b359cb6ad31b644a,Discrete Deep Feature Extraction: A Theory and New Architectures,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu,

 402324c77b7b4040810480d6947c7db92d491308,Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu,

+40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu,

+40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu,

+40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu,

 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,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,

 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 403a108dec92363fd1f465340bd54dbfe65af870,Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 4066f186ff58d300090c652925ed0aed3355efec,Solving Visual Madlibs with Multiple Cues,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression,India,India,India,20.59368400,78.96288000,edu,

+40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression,India,India,India,20.59368400,78.96288000,edu,

 40fa315150ddcaa1e0996046d140b8882f375f7d,Generative Image Inpainting with Contextual Attention,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 404ac62d19a2677ad0266041882244d943e7033e,Application of a Hybrid Model Based on a Convolutional Auto-Encoder and Convolutional Neural Network in Object-Oriented Remote Sensing Classification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 40bb3ef2b4e556a3646a8cd77364a89b8773e4a4,First-Person Animal Activity Recognition from Egocentric Videos,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 40bb3ef2b4e556a3646a8cd77364a89b8773e4a4,First-Person Animal Activity Recognition from Egocentric Videos,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 40217a8c60e0a7d1735d4f631171aa6ed146e719,Part-Pair Representation for Part Localization,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+40b5d6a6a38b4f222437d49fcbf8986abbf7b060,Frontal face authentication using morphological elastic graph matching,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4078c37c39dc5c7c65a5494651ba6dd443cf9269,EMPIRICAL PERFORMANCE UPPER BOUNDS FOR IM- AGE AND VIDEO CAPTIONING,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 405526dfc79de98f5bf3c97bf4aa9a287700f15d,MegaFace: A Million Faces for Recognition at Scale,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 401a8272c60216d1ce8be58edc13b42b1bfdf912,Semi-Supervised Learning in Gigantic Image Collections,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 409883c2ec817b5e49a65425f04f4e27af4baccd,Robust tracking of articulated human movements through Component-Based Multiple Instance Learning with particle filtering,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

-40e7536f43c8a2623ce27e182a0e66028b58de89,Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+40e7536f43c8a2623ce27e182a0e66028b58de89,Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

+40c3b350008ada8f3f53a758e69992b6db8a8f95,Discriminative decorrelation for clustering and classification,University of California at Irvine,"Computational Vision Group, University of California at Irvine, Irvine, CA, USA","Irvine, CA 92697, USA",33.64049520,-117.84429620,edu,

 40629398c85c12432979379800c267d2a8c62bf8,Timing-Based Local Descriptor for Dynamic Surfaces,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 40757d94d6ef33555fc940d556ebfb0d32410fbb,Warmth and competence in your face! Visual encoding of stereotype content,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 40757d94d6ef33555fc940d556ebfb0d32410fbb,Warmth and competence in your face! Visual encoding of stereotype content,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 40055c342c19ab492df04dae2e186cd0d6b5dc5e,Robust representations for face recognition: The power of averages,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

+40c1aec7e0830bf9dd8a689d671024567311ae72,Interact as You Intend: Intention-Driven Human-Object Interaction Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4065d038ecbda579a0791aaf46fc62bbcba5b1f3,Real-time Factored ConvNets: Extracting the X Factor in Human Parsing,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 3c439abbda16518c3dccfc70051a2c36b7fb1501,High Quality Bidirectional Generative Adversarial Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 3cd9411181cd4f12798c64f0442c199cc24a56a7,Leveraging from group classification for video concept detection,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 3cd9b0a61bdfa1bb8a0a1bf0369515a76ecd06e3,Distance Metric Learning with Eigenvalue Optimization,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,

 3cd9b0a61bdfa1bb8a0a1bf0369515a76ecd06e3,Distance Metric Learning with Eigenvalue Optimization,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 3c8d892649f91b5a7778dab0db751f6ffa0e3154,Multi-level Adaptive Active Learning for Scene Classification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

+3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 3cafea5212ff4217beb293e2de8ca0f160ad623a,A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 3cafea5212ff4217beb293e2de8ca0f160ad623a,A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 3cafea5212ff4217beb293e2de8ca0f160ad623a,A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

@@ -8426,19 +10316,23 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina
 3c6be0034477b07222f41f6fc558a64f0222a192,Egocentric Video Biometrics.,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 3ca25a9e906b851df01a53f4443d66978a0243b8,Improved Super-Resolution through Residual Neighbor Embedding,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 3ca25a9e906b851df01a53f4443d66978a0243b8,Improved Super-Resolution through Residual Neighbor Embedding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+3ca5d3b8f5f071148cb50f22955fd8c1c1992719,Evaluating race and sex diversity in the world's largest companies using deep neural networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 3ca5d3b8f5f071148cb50f22955fd8c1c1992719,Evaluating race and sex diversity in the world's largest companies using deep neural networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+3ca5d3b8f5f071148cb50f22955fd8c1c1992719,Evaluating race and sex diversity in the world's largest companies using deep neural networks,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 3c9f2444b1de1bf960664d8c3109f8b8d5dee44b,3 Automatic Facial Feature Extraction for Face Recognition,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu,

 3cc46bf79fb9225cf308815c7d41c8dd5625cc29,Age interval and gender prediction using PARAFAC2 applied to speech utterances,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 3cc46bf79fb9225cf308815c7d41c8dd5625cc29,Age interval and gender prediction using PARAFAC2 applied to speech utterances,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu,

 3c051c8721b65fca8c506de68068dc8fca6adcc5,It Takes (Only) Two: Adversarial Generator-Encoder Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 3c97c32ff575989ef2869f86d89c63005fc11ba9,Face Detection with the Faster R-CNN,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 3c97c32ff575989ef2869f86d89c63005fc11ba9,Face Detection with the Faster R-CNN,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

+3c56acaa819f4e2263638b67cea1ec37a226691d,Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3c5ba48d25fbe24691ed060fa8f2099cc9eba14f,Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 3cd8ab6bb4b038454861a36d5396f4787a21cc68,Video-Based Facial Expression Recognition Using Hough Forest,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 3c6cac7ecf546556d7c6050f7b693a99cc8a57b3,Robust facial landmark detection in the wild,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 3c6cac7ecf546556d7c6050f7b693a99cc8a57b3,Robust facial landmark detection in the wild,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 3c78b642289d6a15b0fb8a7010a1fb829beceee2,Analysis of Facial Dynamics Using a Tensor Framework,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 3c78b642289d6a15b0fb8a7010a1fb829beceee2,Analysis of Facial Dynamics Using a Tensor Framework,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

+3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a,Recognition of Genuine Smiles,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3c1e1961db0f0a351d5a4e21cd30bcbd9f88be57,Discovering states and transformations in image collections,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 3c8380bace3e9625ff5dcd7e425fb88effd917e4,Face Replacement Demo using the Kinect Depth Sensor,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu,

 3cea3aba77649d718991d0cb30135887267c11e8,Adversarial Attack Type I: Generating False Positives,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

@@ -8454,6 +10348,7 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina
 3c84e2ed018dd1d971b526f87e9d7c1f08e6230f,Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 3c84e2ed018dd1d971b526f87e9d7c1f08e6230f,Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 3cd40bfa1ff193a96bde0207e5140a399476466c,High Five: Recognising human interactions in TV shows,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+3cd40bfa1ff193a96bde0207e5140a399476466c,High Five: Recognising human interactions in TV shows,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 3c8f916264e8d15ba1bc618c6adf395e86dd7b40,Generating Descriptions with Grounded and Co-referenced People,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 3ce92cac0f3694be2f2918bf122679c6664a1e16,Deep Relative Attributes,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

 3ce92cac0f3694be2f2918bf122679c6664a1e16,Deep Relative Attributes,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

@@ -8467,35 +10362,43 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina
 3c11a1f2bd4b9ce70f699fb6ad6398171a8ad3bd,Simulating Pareidolia of Faces for Architectural Image Analysis,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

 3c11a1f2bd4b9ce70f699fb6ad6398171a8ad3bd,Simulating Pareidolia of Faces for Architectural Image Analysis,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu,

 3ca9453d3c023bb81cce72ff2d633fc5075e1df6,Generic vs. Person Specific Active Appearance Models,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,

+3ce0f48106fd872e2c2327596c2677c4680444a2,Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.,India,India,India,20.59368400,78.96288000,edu,

 3c563542db664321aa77a9567c1601f425500f94,TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+e644867bc141453d1f0387c76ff5e7f7863c5f4f,Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

 e608ccf3ac353cf7204ccf5659983d69bd09f515,Cross-Domain Image Retrieval with Attention Modeling,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 e6eda2bfec3036cf431a45fa021070ab21bb3488,Mirror Representation for Modeling View-Specific Transform in Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 e659221538d256b2c3e0724deff749eda903fc7d,Fine-Grained Head Pose Estimation Without Keypoints,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 e61a7a02cd2b68043012231f8da1d7077e665040,Utilization-aware load balancing for the energy efficient operation of the big.LITTLE processor,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 e6e57ea0c50fff5a0429d045eccc2a46955a412f,Coarse-to-Fine Statistical Shape Model by Bayesian Inference,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+e6d4c0ac2352f108a078a4fd3f908a03b8571f2b,Racial bias in judgments of physical size and formidability: From size to threat.,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu,

 e6d4c0ac2352f108a078a4fd3f908a03b8571f2b,Racial bias in judgments of physical size and formidability: From size to threat.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 e69ac130e3c7267cce5e1e3d9508ff76eb0e0eef,Addressing the illumination challenge in two-dimensional face recognition: a survey,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 e68373a535a4bf4daf3d55eabe5ecbd1d102e259,Scene Image Classification and Segmentation with Quantized Local Descriptors and Latent Aspect Modeling,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,

 e65da9b728493c4619beca5728f622f6e91c9dd7,Histogram of Structure Tensors : Application to Pattern Clustering,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

+e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd,Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e686e9a642880662e56558b13d3d32f051d549b3,Human face orientation detection using power spectrum based measurements,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 e6f20e7431172c68f7fce0d4595100445a06c117,Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 e64e5449d0d10cfcf63edc8a0b28fc96d09d3535,GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+e68083909381a8fbd0e4468aa06204ac00a0e6fc,Visual Identification by Signature Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e67e757a3d94b71b94e16c5a6a90d77bf61e9aab,Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 e64fa00da02cc774559db5be88bc2862afbfd432,Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 e6d9d3a2f1560e507a24b8cfe3d2f4369c79e0f6,Impact of eye detection error on face recognition performance,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 e6d9d3a2f1560e507a24b8cfe3d2f4369c79e0f6,Impact of eye detection error on face recognition performance,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 e6020915b9530fa585453f60a8934aed30558be4,Improving Neural Question Generation using Answer Separation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 e6020915b9530fa585453f60a8934aed30558be4,Improving Neural Question Generation using Answer Separation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5,Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e6f46d75c7ba653f027fea11a3c33337aff5c336,OMEG: Oulu Multi-Pose Eye Gaze Dataset,University of Oulu,University 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,

 e607b91f69ea2bff3194b07c5d22b4625bbe306e,Learning to See People Like People : Predicting Social Impressions of Faces,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 e6ac47a768188971d0b478182db9026221a0807d,Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 e6ac47a768188971d0b478182db9026221a0807d,Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

+e68ef9597613cd2b6cf76e81c13eb061ee468485,Latent Convolutional Models,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal Training.,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,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,

 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 107c5030f2c55e0a7cf4c6159cbbd4f719b0d9fb,ViP-CNN: Visual Phrase Guided Convolutional Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+107c5030f2c55e0a7cf4c6159cbbd4f719b0d9fb,ViP-CNN: Visual Phrase Guided Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu,

 10ffdfdbc0aafb89d94528f359425de0c7a81986,Interacting HiddenMarkovModels for Video Understanding,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 107231a511fa981ac8d13723d7aea52847580930,Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

 107231a511fa981ac8d13723d7aea52847580930,Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

@@ -8509,17 +10412,22 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 1057137d8ebbbfc4e816d74edd7ab04f61a893f8,Craniofacial Aging,Virginia Commonwealth University,Virginia Commonwealth University,"Virginia Commonwealth University, The Compass, Oregon Hill, Richmond, Richmond City, Virginia, 23284, USA",37.54821500,-77.45306424,edu,

 10e12d11cb98ffa5ae82343f8904cfe321ae8004,A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 101d4cfbd6f8a7a10bd33505e2b183183f1d8770,The 2013 SESAME Multimedia Event Detection and Recounting System,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,

+10464196584476a7f3d887fda42444d08f5f8ad4,Generalized Local Binary Patterns for Texture Classification,China,China,China,35.86166000,104.19539700,edu,

 10464196584476a7f3d887fda42444d08f5f8ad4,Generalized Local Binary Patterns for Texture Classification,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 10cedf764fbcae9f79713f701b489c06deb47b9c,Spatiotemporal saliency for event detection and representation in the 3D wavelet domain: potential in human action recognition,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

 10ad82949b65bae59410aaab5aac88d2caa6a3d7,Detecting and Synthesizing Synchronous Joint Action in Human-Robot Teams,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+108c973b51514f54cf2a078ca243ff0cde091f4b,3D face recognition on low-cost depth sensors,Brno University of Technology,"Brno University of Technology, Brno-střed, Czech Republic","1 548 Antonínská Brno-střed Brno Česká republika, 601 90, Czechia",49.20172000,16.60331680,edu,

 108c973b51514f54cf2a078ca243ff0cde091f4b,3D face recognition on low-cost depth sensors,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 10723c39f9dcfcbd45d4ed7460006dba78c6b67f,An accurate 3D human face model reconstruction scheme,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,

 100428708e4884300e4c1ac1f84cbb16e7644ccf,Regularized Shearlet Network for face recognition using single sample per person,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

 100428708e4884300e4c1ac1f84cbb16e7644ccf,Regularized Shearlet Network for face recognition using single sample per person,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

+10d334a98c1e2a9e96c6c3713aadd42a557abb8b,Scene Text Recognition Using Part-Based Tree-Structured Character Detection,China,China,China,35.86166000,104.19539700,edu,

+106732a010b1baf13c61d0994552aee8336f8c85,Expanded Parts Model for Semantic Description of Humans in Still Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 10c79df4f44b5e4c08f984f34370d292f31ef309,Multi-Modal 2D and 3D Biometrics for Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 10280d12d05c9cf27344c87a27b1712778f9842d,Crosstalk Cascades for Frame-Rate Pedestrian Detection,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 10b987b076fe56e08c89693cdb7207c13b870540,Anticipating Visual Representations from Unlabeled Video,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 10b987b076fe56e08c89693cdb7207c13b870540,Anticipating Visual Representations from Unlabeled Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9,Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1091ee239b2344a526a5617233914345389b04fe,Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 10d85459ab6a9350931fcb4709bba171cd31bbde,Two-person interaction detection using body-pose features and multiple instance learning,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 10d85459ab6a9350931fcb4709bba171cd31bbde,Two-person interaction detection using body-pose features and multiple instance learning,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

@@ -8527,6 +10435,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 10a98632ed618c23c58af93e17d90ef654b1845f,PERFORMANCE EVALUATION OF ILLUMINATION INVARIANT FACE RECOGNITION ALGORTHIMS,Punjabi University Patiala,Punjabi University Patiala,"Punjabi University Patiala, Rajpura Road, Patiala, Punjab, 147001, India",30.35689810,76.45512720,edu,

 100da509d4fa74afc6e86a49352751d365fceee5,Multiclass recognition and part localization with humans in the loop,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 100da509d4fa74afc6e86a49352751d365fceee5,Multiclass recognition and part localization with humans in the loop,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+102a2096ba2e2947dc252445f764e7583b557680,Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks,University of Mainz,University of Mainz,"Saarstraße 21, 55122 Mainz, Germany",49.99264030,8.24155520,edu,

 1096445f1185265c56edb1be3bde6ac4e8d91386,Aspects of facial biometrics for verification of personal identity,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 1096445f1185265c56edb1be3bde6ac4e8d91386,Aspects of facial biometrics for verification of personal identity,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 102e7bd7660357e1814c821c7f697f2eccececa4,Predicting Motivations of Actions by Leveraging Text,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -8535,6 +10444,8 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 10bbf5a5c6f78d5b7b340e80015cffd2e8721ab6,"Omnidirectional Video Capturing , Multiple People Tracking and Identification for Meeting Monitoring",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,

 106092fafb53e36077eba88f06feecd07b9e78e7,Attend and Interact: Higher-Order Object Interactions for Video Understanding,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 10156890bc53cb6be97bd144a68fde693bf13612,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+10156890bc53cb6be97bd144a68fde693bf13612,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,China,China,China,35.86166000,104.19539700,edu,

+10156890bc53cb6be97bd144a68fde693bf13612,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,China,China,China,35.86166000,104.19539700,edu,

 103a7c3eba36792886ae8005f6492332e6b05bad,Facial Recognition with Encoded Local Projections,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 103a7c3eba36792886ae8005f6492332e6b05bad,Facial Recognition with Encoded Local Projections,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 10536c7423cc104fd40ace2188415ac9c1b3987a,Real-Time and Robust Visual Tracking,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

@@ -8547,6 +10458,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 108961c7366e36825ffed94ac9eab603e05b6bc6,Deep Visual-Semantic Alignments for Generating Image Descriptions,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 102e97d0793eeba6c065d487ab38bf66108df8ff,CNN-based Facial Affect Analysis on Mobile Devices,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 102e97d0793eeba6c065d487ab38bf66108df8ff,CNN-based Facial Affect Analysis on Mobile Devices,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+10126b467391e153d36f1a496ef5618097775ad1,An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA,India,India,India,20.59368400,78.96288000,edu,

 10126b467391e153d36f1a496ef5618097775ad1,An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA,Bangalore Institute of Technology,Bangalore Institute of Technology,"Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India",12.95512590,77.57419850,edu,

 10bab1bea94e99444a363daa0d7439cc55d60782,A Self-Representation Induced Classifier,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 10bab1bea94e99444a363daa0d7439cc55d60782,A Self-Representation Induced Classifier,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

@@ -8555,6 +10467,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 10f17534dba06af1ddab96c4188a9c98a020a459,People-LDA: Anchoring Topics to People using Face Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 10e78afd7ea5f70e192b08be8fe1a978ad89394b,Video Stream Retrieval of Unseen Queries using Semantic Memory,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,

 10d003ba5062c048f0e324c897f849b0c9bc2aab,What to Transfer? High-Level Semantics in Transfer Metric Learning for Action Similarity,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+101c5b39f4fc4dda1f39bf0c00e196f0a4720af2,Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 10f3ead41bf8de97aee9c25b345b8b7495a99aab,Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 10f3ead41bf8de97aee9c25b345b8b7495a99aab,Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu,

 10b1794dae6128480e5c56ee83f0113930c101cf,Learning Instance-Aware Object Detection Using Determinantal Point Processes,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

@@ -8563,6 +10476,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 10f13579084670291019c6e8ef55f5cd35c926b6,Closed-Form Approximate CRF Training for Scalable Image Segmentation,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 10f13579084670291019c6e8ef55f5cd35c926b6,Closed-Form Approximate CRF Training for Scalable Image Segmentation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 10d255fb0bb651b6e9cc69855a970c44f121f2c9,Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+108b2581e07c6b7ca235717c749d45a1fa15bb24,Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1037664753b281543ce300fed0852a64d24334ba,"Automatic Tracking, Super-resolution and Recognition of Faces from Surveillance Video Binary-feature Based Recognition and Cryptographic Key Generation from Face Biometrics Face Recognition Robust to Large Pose Angle from One Gallery Image the Psychology of Facial Identification Systems: the Importa",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 1037664753b281543ce300fed0852a64d24334ba,"Automatic Tracking, Super-resolution and Recognition of Faces from Surveillance Video Binary-feature Based Recognition and Cryptographic Key Generation from Face Biometrics Face Recognition Robust to Large Pose Angle from One Gallery Image the Psychology of Facial Identification Systems: the Importa",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 1037664753b281543ce300fed0852a64d24334ba,"Automatic Tracking, Super-resolution and Recognition of Faces from Surveillance Video Binary-feature Based Recognition and Cryptographic Key Generation from Face Biometrics Face Recognition Robust to Large Pose Angle from One Gallery Image the Psychology of Facial Identification Systems: the Importa",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -8579,32 +10493,51 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 10b36c003542545f1e2d73e8897e022c0c260c32,Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu,

 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu,

+108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu,

 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu,

+108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 10c49dc22d5c7d885cba238634390013aeda6e0e,Machine-based Multimodal Pain Assessment Tool for Infants: A Review,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

 10ca2e03ff995023a701e6d8d128455c6e8db030,Modeling Stylized Character Expressions via Deep Learning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 10a36dea0167511b66deca65fdca978aa9afdb11,Simple Baseline for Visual Question Answering,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 103c8eaca2a2176babab2cc6e9b25d48870d6928,Panning for gold: finding relevant semantic content for grounded language learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 101d1cff1aa5590a1f79bc485cbfec094a995f74,Persuasive Faces: Generating Faces in Advertisements (Supplementary Material),University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

+107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-adversarial training of neural networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-adversarial training of neural networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 4cc0bcc342647693c21a0ca2cd1e4064faf2fb47,"THE SMILING BEHAVIOR OF INFANTS AT HIGH- AND LOW-RISK FOR AUTISM, THEIR MOTHERS, AND AN UNFAMILIAR ADULT: THE EFFECTS OF INTERACTION TASK, INFANT RISK-STATUS, AND INFANT AGE by",University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 4c523db33c56759255b2c58c024eb6112542014e,Patch-based within-object classification,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 4c523db33c56759255b2c58c024eb6112542014e,Patch-based within-object classification,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+4cf17bca0e19070fbe9bb25644787f65fa6ebe1a,Human Pose Estimation.,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 4ce1946a28cf7c9cebf29210da326c336a0e92ca,Efficient Detection for Spatially Local Coding,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 4cdae53cebaeeebc3d07cf6cd36fecb2946f3e56,Photorealistic Facial Texture Inference Using Deep Neural Networks,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,

 4c293a98e929edaff6ed70c22a844c04e604e9fc,Clustering by fast search and merge of local density peaks for gene expression microarray data,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu,

 4c293a98e929edaff6ed70c22a844c04e604e9fc,Clustering by fast search and merge of local density peaks for gene expression microarray data,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 4c6233765b5f83333f6c675d3389bbbf503805e3,Real-time high performance deformable model for face detection in the wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4c4236b62302957052f1bbfbd34dbf71ac1650ec,Semi-supervised face recognition with LDA self-training,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

+4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 4c8e5fc0877d066516bb63e6c31eb1b8b5f967eb,Confidence and Diversity for Active Selection of Feedback in Image Retrieval,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 4c6decd726d04b916d9a2cdd468c64a8a0fc2fdb,Deep Learning for Semantic Part Segmentation with High-Level Guidance,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 4c81212a1ecca6b160631fea7f2a6cbff6f74012,Comixify: Transform video into a comics,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu,

 4c5566d4cb47f4db45d46c6aaf324d6057b580bc,Gender recognition from face images with trainable COSFIRE filters,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

+4cbb4801667e2bee41e849b7d226cfcd1c501139,Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 4c462a76517f70588a8406ad2a9fa290b7d77e5a,Zero-Shot Recognition via Structured Prediction,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu,

+4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu,

+4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu,

+4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu,

 4c6421fab6f7be06f4b2a8d558dceb3ccf9426da,"Fast , Deep Detection and Tracking of Birds & Nests",University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

 4c302936f43c30430b0b07debd6ed6ef260b5225,Learning Sparse Basis Vectors in Small-Sample Datasets through Regularized Non-Negative Matrix Factorization,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu,

 4c302936f43c30430b0b07debd6ed6ef260b5225,Learning Sparse Basis Vectors in Small-Sample Datasets through Regularized Non-Negative Matrix Factorization,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu,

 4c130b216126434c8cd857431c9c4a7a7c10aca8,Can Saliency Information Benefit Image Captioning Models?,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 4c130b216126434c8cd857431c9c4a7a7c10aca8,Can Saliency Information Benefit Image Captioning Models?,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+4cff5b5099b0227730efa9e9fd724a63dc0c0c2f,Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4cd0da974af9356027a31b8485a34a24b57b8b90,Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 4cdb6144d56098b819076a8572a664a2c2d27f72,Face Synthesis for Eyeglass-Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4cdb6144d56098b819076a8572a664a2c2d27f72,Face Synthesis for Eyeglass-Robust Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -8613,19 +10546,24 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 4c11037e73046ac942ddb497e18d2f59f8524cf2,Localizing 3D cuboids in single-view images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 4c11037e73046ac942ddb497e18d2f59f8524cf2,Localizing 3D cuboids in single-view images,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

+4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,China,China,China,35.86166000,104.19539700,edu,

+4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,China,China,China,35.86166000,104.19539700,edu,

 4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 4c170a0dcc8de75587dae21ca508dab2f9343974,FaceTracer: A Search Engine for Large Collections of Images with Faces,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 4c87aafa779747828054cffee3125fcea332364d,View-Constrained Latent Variable Model for Multi-view Facial Expression Classification,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,

 4c87aafa779747828054cffee3125fcea332364d,View-Constrained Latent Variable Model for Multi-view Facial Expression Classification,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

-4cc681239c8fda3fb04ba7ac6a1b9d85b68af31d,Electronic Theses and Dissertations Title Mining Spatial and Spatio-Temporal ROIs for Action Recognition Permalink,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+4cc681239c8fda3fb04ba7ac6a1b9d85b68af31d,Electronic Theses and Dissertations Title Mining Spatial and Spatio-Temporal ROIs for Action Recognition Permalink,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7,Efficient likelihood Bayesian constrained local model,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7,Efficient likelihood Bayesian constrained local model,China,China,China,35.86166000,104.19539700,edu,

 4cb8a691a15e050756640c0a35880cdd418e2b87,Class-Based Matching of Object Parts,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

+4cc675422395ed7dc7e4772280f7c57cac6fbaee,Efficient person re-identification by hybrid spatiogram and covariance descriptor,China,China,China,35.86166000,104.19539700,edu,

 4cca640761c980c77a696a64ad3c1e95b82109be,Evaluating New Variants of Motion Interchange Patterns,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 4c8c89670a55e65ad9b92327d3386b5701dddabb,Automatic Eye Detection Error as a Predictor of Face Recognition Performance,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 4c33746fc5688da61059daa93978ac887f04cce8,Trainable performance upper bounds for image and video captioning,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 4c078c2919c7bdc26ca2238fa1a79e0331898b56,Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 4c56f119ebf7c71f2a83e4d79e8d88314b8e6044,An other-race effect for face recognition algorithms,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 4c56f119ebf7c71f2a83e4d79e8d88314b8e6044,An other-race effect for face recognition algorithms,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

+4c22a9f6f3f2a6071327a1fa1f6fdc7ffd06987c,Face Recognition System with various Expression and Occlusion based on a Novel Block Matching Algorithm and PCA,India,India,India,20.59368400,78.96288000,edu,

 4c5b38ac5d60ab0272145a5a4d50872c7b89fe1b,Facial expression recognition with emotion-based feature fusion,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 4c16fe03bb96328b715acfe40491a90034858800,The development of emotion-related neural circuitry in health and psychopathology.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 4cfd770ccecae1c0b4248bc800d7fd35c817bbbd,A Discriminative Feature Learning Approach for Deep Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

@@ -8634,8 +10572,14 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 4c02d6874a761182f3776a5a04142e713cd939fa,Crowd Counting using Deep Recurrent Spatial-Aware Network,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 4cb36aea73a328da8ffcdc616407bae3c908aa07,Re-ranking Person Re-identification with k-Reciprocal Encoding,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 4cb36aea73a328da8ffcdc616407bae3c908aa07,Re-ranking Person Re-identification with k-Reciprocal Encoding,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

+4c41b774a6bdf43d980f640880cc49b82ae19b34,3D Facial Landmark Detection under Large Yaw and Expression Variations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4c7c1c2d6eebd227b1e768eaafa5a61e27552567,A Secure and Privacy Friendly 2D+3D Face Authentication System Robust Under Pose and Illumation Variation,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece","Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece","Thermi 570 01, Greece",40.56676110,22.99801470,edu,

 4c7c1c2d6eebd227b1e768eaafa5a61e27552567,A Secure and Privacy Friendly 2D+3D Face Authentication System Robust Under Pose and Illumation Variation,University of Piraeus,University of Piraeus,"Πανεπιστήμιο Πειραιώς, 80, Καραολή και Δημητρίου, Απόλλωνας, Νέο Φάληρο, Πειραιάς, Δήμος Πειραιώς, Περιφερειακή Ενότητα Πειραιώς, Περιφέρεια Αττικής, Αττική, 185 34, Ελλάδα",37.94173275,23.65303262,edu,

 4cf0c6d3da8e20d6f184a4eaa6865d61680982b8,Face recognition based on 3 D mesh model,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+4cf0c6d3da8e20d6f184a4eaa6865d61680982b8,Face recognition based on 3 D mesh model,China,China,China,35.86166000,104.19539700,edu,

 4c8ef4f98c6c8d340b011cfa0bb65a9377107970,Sentiment Recognition in Egocentric Photostreams,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 4c8ef4f98c6c8d340b011cfa0bb65a9377107970,Sentiment Recognition in Egocentric Photostreams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 4c822785c29ceaf67a0de9c699716c94fefbd37d,A Key Volume Mining Deep Framework for Action Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

@@ -8644,7 +10588,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

-4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 4cefd47f3327b6d30bf99e61651b18319c4ee829,JUST at VQA-Med: A VGG-Seq2Seq Model,Jordan University of Science and Technology,Jordan University of Science and Technology,"Jordan University of Science and Technology, شارع الأردن, إربد‎, إربد, الأردن",32.49566485,35.99160717,edu,

 8672c684d241a1cdec43dd187854af6a893e7b57,Left-Right Comparative Recurrent Model for Stereo Matching,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 86104c6156661bca20224c2f3b37133ccb4b1f74,Video Analysis of Mouth Movement Using Motion Templates for Computer-based Lip-Reading,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu,

@@ -8654,6 +10598,11 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 86c5478f21c4a9f9de71b5ffa90f2a483ba5c497,"Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario",Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 860cc25e1cee40d70d001180ff665809c6e36594,Efficient Boosted Weak Classifiers for Object Detection,University of Oulu,University 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,

 860cc25e1cee40d70d001180ff665809c6e36594,Efficient Boosted Weak Classifiers for Object Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA Miss .,India,India,India,20.59368400,78.96288000,edu,

+861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA Miss .,India,India,India,20.59368400,78.96288000,edu,

+86be567bab1293ed847979d2c56a662fcbcbc1d5,Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,"IBM Research - Tokyo, Japan","IBM Research - Tokyo, Japan","19-21 Nihonbashihakozakicho, Chūō, Tokyo 103-8510, Japan",35.67854170,139.78712380,edu,

+86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 86a84b3a61f67f59c5bc5545bc88296e46681ca5,Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects,"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,

 8670fea0d92c6a0e767d089083a39d5896db8534,"Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement",SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 8670fea0d92c6a0e767d089083a39d5896db8534,"Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement",Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

@@ -8669,17 +10618,21 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 86d0127e1fd04c3d8ea78401c838af621647dc95,A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 86f3552b822f6af56cb5079cc31616b4035ccc4e,Towards Miss Universe automatic prediction: The evening gown competition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 862d17895fe822f7111e737cbcdd042ba04377e8,Semi-Latent GAN: Learning to generate and modify facial images from attributes,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+862d17895fe822f7111e737cbcdd042ba04377e8,Semi-Latent GAN: Learning to generate and modify facial images from attributes,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 86a200647f89ed81db8031ccfbcb5368a32bed6c,SHOE: Sibling Hashing with Output Embeddings,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 8628edf89482aef7fba204f3f0a9e9f5b12ec477,Compositional Obverter Communication Learning From Raw Visual Input,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 867596b7c4a2e108dc5a024f85cdfd77a574f5a7,Sparse kernel logistic regression based on L 1/2 regularization,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+867596b7c4a2e108dc5a024f85cdfd77a574f5a7,Sparse kernel logistic regression based on L 1/2 regularization,China,China,China,35.86166000,104.19539700,edu,

 86973c8c9adef3b6a36c31c2682f2179e3013ae1,Active Learning from Noisy Tagged Images,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 86374bb8d309ad4dbde65c21c6fda6586ae4147a,Detect-and-Track: Efficient Pose Estimation in Videos,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,

 86374bb8d309ad4dbde65c21c6fda6586ae4147a,Detect-and-Track: Efficient Pose Estimation in Videos,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 86374bb8d309ad4dbde65c21c6fda6586ae4147a,Detect-and-Track: Efficient Pose Estimation in Videos,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 86cf00b2c22200745276239d32451ff14ee65296,Boosting Associated Pairing Comparison Features for pedestrian detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,India,India,India,20.59368400,78.96288000,edu,

 86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,India,India,India,20.59368400,78.96288000,edu,

 8627e6ccb42c909b5c1f94304af986472effb6f1,Understanding Convolutional Neural Networks in Terms of Category-Level Attributes,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 8680cec120c3717c2178aafdf45186fd04d49875,Automatic graphic logo detection via Fast Region-based Convolutional Networks,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu,

 8656f48aa77f25462b3ad2edf2b1aa965b2b7b38,Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

@@ -8690,20 +10643,36 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal
 86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

+86f72a4391c3b90a03f8fbbd28d4846947f028d6,Principal Manifolds and Probabilistic Subspaces for Visual Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+867e709a298024a3c9777145e037e239385c0129,ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE RECOGNITION APPROACH BASED ON DICTIONARY LEARNING AND SPARSE REPRESENTATION,India,India,India,20.59368400,78.96288000,edu,

+86163c4270fa1173640e7b1f526ffdb482f45f17,ContextVP: Fully Context-Aware Video Prediction,"ETH Zurich, Zurich, Switzerland","ETH Zurich, Zurich, Switzerland","Technoparkstrasse 1, 8005 Zürich, Switzerland",47.39005860,8.51632480,edu,

+86e5f81bde496549e9df2b1abdef0879a3135adb,The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu,

+86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu,

+86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu,

+86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu,

 86ed5b9121c02bcf26900913f2b5ea58ba23508f,Actions ~ Transformations,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,

 86ed5b9121c02bcf26900913f2b5ea58ba23508f,Actions ~ Transformations,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 86c158ef6caaf247d5d14e07c5edded0147df8b7,Spatial Memory for Context Reasoning in Object 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,

 866aee7bc3ba13394a84ed36fb8f8ba543552d5e,Unsupervised network pretraining via encoding human design,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 866aee7bc3ba13394a84ed36fb8f8ba543552d5e,Unsupervised network pretraining via encoding human design,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 861c650f403834163a2c27467a50713ceca37a3e,Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,

+da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dac2e7adbd69ae35009e143853765b36a1adb07c,Towards Large-Scale Video Object Mining,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+da24f3e196c5345ce08dfcc835574035da197f48,A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,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,

 daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

+daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 daf05febbe8406a480306683e46eb5676843c424,Robust Subspace Segmentation with Block-Diagonal Prior,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 daf05febbe8406a480306683e46eb5676843c424,Robust Subspace Segmentation with Block-Diagonal Prior,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 daf05febbe8406a480306683e46eb5676843c424,Robust Subspace Segmentation with Block-Diagonal Prior,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+da8eb0d7666d481ba0d50a03067dbc1913131495,Physics-based face database for color research,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 da8eb0d7666d481ba0d50a03067dbc1913131495,Physics-based face database for color research,University of Oulu,University 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,

+da8eb0d7666d481ba0d50a03067dbc1913131495,Physics-based face database for color research,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 dae0a4ef50b347f145ed6de8f6c7fb94d350f937,1 Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 dae0a4ef50b347f145ed6de8f6c7fb94d350f937,1 Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 dae0a4ef50b347f145ed6de8f6c7fb94d350f937,1 Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -8717,7 +10686,9 @@ daf9c461bc515736749e14da67045d8a542c24a1,Neighborhood MinMax Projections,Tsinghu
 daf99b3ae2f2ca19aff571d88ee47bc45ac46350,TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 da90c9ff02e76a7e686ffe13bcdedbf949c86dfa,Adaptive workload-aware task scheduling for single-ISA asymmetric multicore architectures,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 da5075fa79da6cd7b81e5d3dc24161217ef86368,ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+da5075fa79da6cd7b81e5d3dc24161217ef86368,ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection,China,China,China,35.86166000,104.19539700,edu,

 da6696345d0d4ff6328c1c5916b0ca870d4cc6cf,Robust Contrast-Invariant EigenDetection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+da67293fe8ab15539dd045675fa2395435f239b6,View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 da67293fe8ab15539dd045675fa2395435f239b6,View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 da67293fe8ab15539dd045675fa2395435f239b6,View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 da0b41c22e0918c99ba89a04eed4f8ed58cc1d66,Subspace Clustering using Ensembles of $K$-Subspaces,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

@@ -8726,43 +10697,72 @@ da1049ae56eaca2e7d65946cf87b1e504d9fcb70,VisDA : A Synthetic-to-Real Benchmark f
 da1049ae56eaca2e7d65946cf87b1e504d9fcb70,VisDA : A Synthetic-to-Real Benchmark for Visual Domain Adaptation,"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,

 da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-２ Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu,

+da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,China,China,China,35.86166000,104.19539700,edu,

 da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,China,China,China,35.86166000,104.19539700,edu,

+daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,China,China,China,35.86166000,104.19539700,edu,

+daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,China,China,China,35.86166000,104.19539700,edu,

 da437db062e751d49528914971ecdc868b557648,Improved Image Captioning via Policy Gradient optimization of SPIDEr,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 da44881db32c132eb9cdef524618e3c8ed340b47,Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 da7fc2231134fef949882bc193bc1802b318c6ff,Qualitative Pose Estimation by Discriminative Deformable Part Models,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 daf74c34f7da0695b154f645c8b78a7397a98f16,ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 daf74c34f7da0695b154f645c8b78a7397a98f16,ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 da115fc803e692d18802400940855eb6c78691e4,Deep Convolutional Neural Networks with Merge-and-Run Mappings,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

-da115fc803e692d18802400940855eb6c78691e4,Deep Convolutional Neural Networks with Merge-and-Run Mappings,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+da115fc803e692d18802400940855eb6c78691e4,Deep Convolutional Neural Networks with Merge-and-Run Mappings,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 da6b2dfb5b0b91759a69a388a4cee5eb1187ad8a,Road Detection through Supervised Classification,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu,

 daf30e6709631aba291e8084fad853db325594e8,Learning Face Hallucination in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+bf9f26780d7207c8845d7787b6003a8df161afb8,Counting People With Low-Level Features and Bayesian Regression,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 bfea962697e9b445b89a865b465ae967dd55b4fe,Efficient object detection via structured learning and local classifiers,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 bf6913250ed359fdf130d6465b90b2a0b6fae04e,Pragmatically Informative Image Captioning with Character-Level Reference,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53,Evaluation of PCA and LDA techniques for Face recognition using ORL face database,India,India,India,20.59368400,78.96288000,edu,

+bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f,Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f,Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f,Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 bf107f242abea2e52d82dcd834e58b774205ec84,Crowd Counting by Adapting Convolutional Neural Networks with Side Information,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 bf107f242abea2e52d82dcd834e58b774205ec84,Crowd Counting by Adapting Convolutional Neural Networks with Side Information,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 bf107f242abea2e52d82dcd834e58b774205ec84,Crowd Counting by Adapting Convolutional Neural Networks with Side Information,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+bf5940d57f97ed20c50278a81e901ae4656f0f2c,Query-Free Clothing Retrieval via Implicit Relevance Feedback,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 bf179c196b321bbcd58291e52b8259c3f4c1190c,Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 bf179c196b321bbcd58291e52b8259c3f4c1190c,Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 bf179c196b321bbcd58291e52b8259c3f4c1190c,Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

+bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

+bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

+bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

+bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

+bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu,

+bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu,

 bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu,

 bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu,

+bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu,

+bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e,Discriminative Face Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu,

 bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

 bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu,

+bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu,

 bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

+bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 bff1e1ecf00c37ec91edc7c5c85c1390726c3687,Constrained Deep Metric Learning for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 bfe9560daea296350c9fb4a9b2b9bf9d10fc1a3e,DualNet: Domain-invariant network for visual question answering,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 bf03f0fe8f3ba5b118bdcbb935bacb62989ecb11,Effect of Facial Expressions on Feature-Based Landmark Localization in Static Grey Scale Images.,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu,

 bf5c5c346e5d378731030edb53fd0c8a49781468,Bayesian Deep Generative Models for Semi-Supervised and Active Learning,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 bf3f8726f2121f58b99b9e7287f7fbbb7ab6b5f5,Visual face scanning and emotion perception analysis between autistic and typically developing children,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu,

 bf3f8726f2121f58b99b9e7287f7fbbb7ab6b5f5,Visual face scanning and emotion perception analysis between autistic and typically developing children,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu,

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

+bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -8770,12 +10770,16 @@ bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,Chin
 bffbd04ee5c837cd919b946fecf01897b2d2d432,Facial Feature Tracking and Occlusion Recovery in American Sign Language,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 bfc04ce7752fac884cf5a78b30ededfd5a0ad109,A Hybrid Model for Identity Obfuscation by Face Replacement,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 bff567c58db554858c7f39870cff7c306523dfee,Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+bff9d100e99dd6a99ec26ca867694075b1dcac92,Passive Multimodal 2-D+3-D Face Recognition Using Gabor Features and Landmark Distances,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 bf87e84403589f33b7dd076c6e34b0c7eb39a7a7,The First 3 D Face Alignment in the Wild ( 3 DFAW ) Challenge,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 bf87e84403589f33b7dd076c6e34b0c7eb39a7a7,The First 3 D Face Alignment in the Wild ( 3 DFAW ) Challenge,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 bf87e84403589f33b7dd076c6e34b0c7eb39a7a7,The First 3 D Face Alignment in the Wild ( 3 DFAW ) Challenge,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu,

 bf63599a05692ba4c18476f696edf98bc28a4f3d,Fully Convolutional Neural Networks for Crowd Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 bf6598d7c16a5e86d6eacda31185b1b2e8411b19,Bayesian Hyperparameter Optimization of Gaze Estimation Neural Networks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 bf6598d7c16a5e86d6eacda31185b1b2e8411b19,Bayesian Hyperparameter Optimization of Gaze Estimation Neural Networks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 bf9b34433bdf14e595a1ed89a23c416990639215,Smart Stadium for Smarter Living: Enriching the Fan Experience,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 bf3d0e41e4d0a2ef6dbdd3018e3c7f728b5efceb,Non-Euclidean dissimilarity data in pattern recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 bf3a09f7598afe4e3ab925636f167e55f2b70a9e,Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -8791,6 +10795,7 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 4467a1ae8ddf0bc0e970c18a0cdd67eb83c8fd6f,Learning features from Improved Dense Trajectories using deep convolutional networks for Human Activity Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 44ce0051d9482d96169ff5564085fe9867eb3193,Differential activation of the amygdala and the ‘social brain’ during fearful face-processing in Asperger Syndrome,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 44ce0051d9482d96169ff5564085fe9867eb3193,Differential activation of the amygdala and the ‘social brain’ during fearful face-processing in Asperger Syndrome,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+44442a26062c20dab7db4a9862349b598efca119,Modelling errors in a biometric re-identification system,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 44508e337a90223e935485d87d6fda15aaddd77a,Text detection and recognition in natural scene images,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu,

 44d23df380af207f5ac5b41459c722c87283e1eb,Human Attribute Recognition by Deep Hierarchical Contexts,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 44787df6079918c6c4bf3dc871e2cad5a62c0e58,Super-resolved faces for improved face recognition from surveillance video advances in biometrics,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

@@ -8798,8 +10803,11 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 44c9b5c55ca27a4313daf3760a3f24a440ce17ad,Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories,Hiroshima University,Hiroshima University,"Hiroshima University　広島大学 東広島キャンパス, 出会いの道　Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu,

 44c9b5c55ca27a4313daf3760a3f24a440ce17ad,Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories,Hiroshima University,Hiroshima University,"Hiroshima University　広島大学 東広島キャンパス, 出会いの道　Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu,

 4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

+4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 444d165af18f474a2d0e56e981195374c3f304bf,Scene Flow Estimation using Intelligent Cost Functions,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+44dd150b9020b2253107b4a4af3644f0a51718a3,An Analysis of the Sensitivity of Active Shape Models to Initialization When Applied to Automatic Facial Landmarking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 44aeda8493ad0d44ca1304756cc0126a2720f07b,Face Alive Icons.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 44b315edcadf527af7eb7ac2921341a03fd73970,Experience-Driven Differences in Childhood Cortisol Predict Affect-Relevant Brain Function and Coping in Adolescent Monozygotic Twins,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 44b315edcadf527af7eb7ac2921341a03fd73970,Experience-Driven Differences in Childhood Cortisol Predict Affect-Relevant Brain Function and Coping in Adolescent Monozygotic Twins,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

@@ -8819,14 +10827,20 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 445461a34adc4bcdccac2e3c374f5921c93750f8,Emotional Expression Classification Using Time-Series Kernels,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 44054c64ae7ee16a8a8348bb57345aae95a8ddae,Social Orienting and Attention Is Influenced by the Presence of Competing Nonsocial Information in Adolescents with Autism,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 44054c64ae7ee16a8a8348bb57345aae95a8ddae,Social Orienting and Attention Is Influenced by the Presence of Competing Nonsocial Information in Adolescents with Autism,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

+44054c64ae7ee16a8a8348bb57345aae95a8ddae,Social Orienting and Attention Is Influenced by the Presence of Competing Nonsocial Information in Adolescents with Autism,India,India,India,20.59368400,78.96288000,edu,

 441bf5f7fe7d1a3939d8b200eca9b4bb619449a9,Head pose estimation in the wild using approximate view manifolds,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,

 441bf5f7fe7d1a3939d8b200eca9b4bb619449a9,Head pose estimation in the wild using approximate view manifolds,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,

 44fbbd3def64d52c956277628a89aba77b24686b,Context Modulates Congruency Effects in Selective Attention to Social Cues,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 44fbbd3def64d52c956277628a89aba77b24686b,Context Modulates Congruency Effects in Selective Attention to Social Cues,Teesside University,Teesside University,"Teesside University, Southfield Road, Southfield, Linthorpe, Middlesbrough, North East England, England, TS1 3BZ, UK",54.57036950,-1.23509662,edu,

+4421790b8f6b7d44915e030dfec6ececc0f03c2e,Pedestrian Detection in Infrared Video Images,China,China,China,35.86166000,104.19539700,edu,

+4421790b8f6b7d44915e030dfec6ececc0f03c2e,Pedestrian Detection in Infrared Video Images,China,China,China,35.86166000,104.19539700,edu,

 4407cde7ab8fc38ccb22f2799ab6f0ff7ab65283,Face Verification Using Error Correcting Output Codes,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 44ec89df8d9f42e323ea90599f23ae58e3a8925a,Recognizing human actions by attributes,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

+440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,China,China,China,35.86166000,104.19539700,edu,

 440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 4459593cf12181988b8cec7e43f834f6831826cc,Mid-level Elements for Object 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,

 44482010dbd63fba4f7457cbdb7cf61e44c78617,Efficient activity detection with max-subgraph search,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 448c24fbe400ac164f3b97bce3cefc1577f91cca,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,

@@ -8834,6 +10848,8 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 44bfa5311f0921664e9036f63cadd71049a35f35,Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 446fbff6a2a7c9989b0a0465f960e236d9a5e886,Context Encoders: Feature Learning by Inpainting,"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,

 449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,China,China,China,35.86166000,104.19539700,edu,

+449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,China,China,China,35.86166000,104.19539700,edu,

 449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 449b87347fe7f9c3f17e969fab1617fbfd9ccb1b,Flat vs. Expressive Storytelling: Young Children’s Learning and Retention of a Social Robot’s Narrative,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 449b87347fe7f9c3f17e969fab1617fbfd9ccb1b,Flat vs. Expressive Storytelling: Young Children’s Learning and Retention of a Social Robot’s Narrative,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -8842,9 +10858,12 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 442cf9b24661c9ea5c2a1dcabd4a5b8af1cd89da,Beyond One-hot Encoding: lower dimensional target embedding,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 447ea71b90ce28cdf98faddec125cda53c2121bf,Facial recognition techniques applied to the automated registration of patients in the emergency treatment of head injuries,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 44484d2866f222bbb9b6b0870890f9eea1ffb2d0,Human Reidentification with Transferred Metric Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 38ede8e62e82d5012b3a165e55c9bd84442967db,Deep Analysis of Facial Behavioral Dynamics,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 38ede8e62e82d5012b3a165e55c9bd84442967db,Deep Analysis of Facial Behavioral Dynamics,University of Oulu,University 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,

 38787338ba659f0bfbeba11ec5b7748ffdbb1c3d,Evaluation of the discrimination power of features extracted from 2-D and 3-D facial images for facial expression analysis,University of Piraeus,University of Piraeus,"Πανεπιστήμιο Πειραιώς, 80, Καραολή και Δημητρίου, Απόλλωνας, Νέο Φάληρο, Πειραιάς, Δήμος Πειραιώς, Περιφερειακή Ενότητα Πειραιώς, Περιφέρεια Αττικής, Αττική, 185 34, Ελλάδα",37.94173275,23.65303262,edu,

@@ -8868,6 +10887,7 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 38525bca4b1c5f9b8108743f57fd468492713bca,A Joint Speaker-Listener-Reinforcer Model for Referring Expressions,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 38183fe28add21693729ddeaf3c8a90a2d5caea3,Scale-Aware Face Detection,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 38eb71578f82477f4b032481bd401f19f14eaf25,Efficient Resource-constrained Retrospective Analysis of Long Video Sequences,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+38b3cae6ba1b98d6bc6f88d903916dac888cb951,Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification,"ONERA - The French Aerospace Lab, Palaiseau, France","ONERA - The French Aerospace Lab, Palaiseau, France","8 Chemin de la Hunière, 91120 Palaiseau, France",48.71467230,2.23270940,edu,

 3836b6c5e29a7d0ff58c73e5d5c03dc7e8603819,Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 3836b6c5e29a7d0ff58c73e5d5c03dc7e8603819,Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 3836b6c5e29a7d0ff58c73e5d5c03dc7e8603819,Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

@@ -8884,17 +10904,25 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 384945abd53f6a6af51faf254ba8ef0f0fb3f338,Visual Recognition with Humans in the Loop,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 384945abd53f6a6af51faf254ba8ef0f0fb3f338,Visual Recognition with Humans in the Loop,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 38d0dd93755b83b2390815fda926866f7ec624ce,Action Machine: Rethinking Action Recognition in Trimmed Videos,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd,ISIA at the ImageCLEF 2017 Image Caption Task,China,China,China,35.86166000,104.19539700,edu,

+3885cfd634c025c6e27c4db8211d72f54f864f90,Implications of holistic face processing in autism and schizophrenia,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 38f88655debf4bf32978a7b39fbd56aea6ee5752,Class Rectification Hard Mining for Imbalanced Deep Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 38f88655debf4bf32978a7b39fbd56aea6ee5752,Class Rectification Hard Mining for Imbalanced Deep Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 38b5a83f7941fea5fd82466f8ce1ce4ed7749f59,Improving multi-target tracking via social grouping,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 381d15951b5beb2456ac016ac7f15fd27aa07d1c,"The prodrome of autism: early behavioral and biological signs, regression, peri- and post-natal development and genetics.",Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 380d50f3ccc07fa4f41282395a78c51e33985c39,Deep Attention Neural Tensor Network for Visual Question Answering,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+380d50f3ccc07fa4f41282395a78c51e33985c39,Deep Attention Neural Tensor Network for Visual Question Answering,China,China,China,35.86166000,104.19539700,edu,

 380d50f3ccc07fa4f41282395a78c51e33985c39,Deep Attention Neural Tensor Network for Visual Question Answering,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 38b55d95189c5e69cf4ab45098a48fba407609b4,Locally Aligned Feature Transforms across Views,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+38ddeb190590b5758eb03924917a5874dbbd3731,A New Multimodal Database for Performance Evaluation in System Level,"Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu,

 3803b91e784922a2dacd6a18f61b3100629df932,Temporal Multimodal Fusion for Video Emotion Classification in the Wild,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

 3803b91e784922a2dacd6a18f61b3100629df932,Temporal Multimodal Fusion for Video Emotion Classification in the Wild,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

+384908bfad5b9e81d605344abcb9e99d8b0f4027,Improving Deep Models of Person Re-identification for Cross-Dataset Usage,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 389db56845978baef0141b876774ea06cfb13e04,Information-theoretic criteria for the design of compressive subspace classifiers,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+3859dd21b6373bb4b237ddcebf4dc8acacb587e0,Multimodal Face Recognition using Hybrid Correlation Filters,India,India,India,20.59368400,78.96288000,edu,

+380862d22617064ffab1a3b42f0b11752d6bd785,Recognition from a Single Sample per Person with Multiple SOM Fusion,China,China,China,35.86166000,104.19539700,edu,

 380862d22617064ffab1a3b42f0b11752d6bd785,Recognition from a Single Sample per Person with Multiple SOM Fusion,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+38f7f3c72e582e116f6f079ec9ae738894785b96,A New Technique for Face Matching after Plastic Surgery in Forensics,India,India,India,20.59368400,78.96288000,edu,

 3837cd26a92e6c20b4351b3fd7e83a422e56cb89,Mobile Robots and Marching Humans: Measuring Synchronous Joint Action While in Motion,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 382c36c6bae540a78ee83c03ea78a2f0632b94c9,Multiple Instance Dictionary Learning using Functions of Multiple Instances,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 382c36c6bae540a78ee83c03ea78a2f0632b94c9,Multiple Instance Dictionary Learning using Functions of Multiple Instances,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

@@ -8908,6 +10936,8 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De
 385e45a0b9e88929ffe8a341c886a6de41d372f3,Robust Pose Features for Action Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 3857ffcf39ec6183f0cbbe8c5f565b1ccd0dce5d,Multi-Level Factorisation Net for Person Re-Identification,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 38bbca5f94d4494494860c5fe8ca8862dcf9676e,"Probabilistic, features-based object recognition",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+38682c7b19831e5d4f58e9bce9716f9c2c29c4e7,Movie Character Identification Using Graph Matching Algorithm,India,India,India,20.59368400,78.96288000,edu,

+383a58de852715c8544abe60fa64d29fb7ea5688,Inductive Hashing on Manifolds,China,China,China,35.86166000,104.19539700,edu,

 38a9dfdf72d67cea75298cf29d3ea563e9ce3137,Temporal Segmentation of Egocentric Videos,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 3813d74ddf2540c06aa48fc42468bd0d97f51708,Asynchronous Multi-task Learning,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 3813d74ddf2540c06aa48fc42468bd0d97f51708,Asynchronous Multi-task Learning,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -8930,6 +10960,8 @@ d01067340615131f9109f71590ff66f418ce8f97,Deep View-Sensitive Pedestrian Attribut
 d05513c754966801f26e446db174b7f2595805ba,Everything is in the Face? Represent Faces with Object Bank,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 d05513c754966801f26e446db174b7f2595805ba,Everything is in the Face? Represent Faces with Object Bank,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,

 d05513c754966801f26e446db174b7f2595805ba,Everything is in the Face? Represent Faces with Object Bank,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+d04631e40b237ae29cb8d2bd187b04033580e63b,Multi-cue Based Multi-target Tracking with Boosted MHT,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

+d014011b24c62d5b689c782c09b89c52970f46e7,"SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation",Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu,

 d0f54b72e3a3fe7c0e65d7d5a3b30affb275f4c5,Towards Universal Representation for Unseen Action Recognition,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 d0f54b72e3a3fe7c0e65d7d5a3b30affb275f4c5,Towards Universal Representation for Unseen Action Recognition,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

 d0a188debff9baca296787dfb207f151cb78300a,Physical Representation-based Predicate Optimization for a Visual Analytics Database,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

@@ -8939,19 +10971,26 @@ d0a188debff9baca296787dfb207f151cb78300a,Physical Representation-based Predicate
 d0d58e1885db56bdaa3890a1cd32c6d6a42f5f49,Person Identification Using Face and Iris Multimodal Biometric System,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 d0dcef424ab6b32d00bdc66e8d4a61ebe911fff8,Working Memory Capacity and Fluid Intelligence: Maintenance and Disengagement.,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 d095bafdecbae3a234d92ee96005b45cb5b1f55f,Finger Vein Recognition based on Personalized Discriminative Bit Map,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

-d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+d095bafdecbae3a234d92ee96005b45cb5b1f55f,Finger Vein Recognition based on Personalized Discriminative Bit Map,China,China,China,35.86166000,104.19539700,edu,

+d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,China,China,China,35.86166000,104.19539700,edu,

+d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,China,China,China,35.86166000,104.19539700,edu,

 d0d1a18469bd41b9464b393b56d209d53869bd77,Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+d0441970a9f19751e6c047b364f580c30bf9754a,Pose-Aware Person Recognition,India,India,India,20.59368400,78.96288000,edu,

 d0509afe9c2c26fe021889f8efae1d85b519452a,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 d0509afe9c2c26fe021889f8efae1d85b519452a,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 d09d663055b3b6d588bf4de2f386bb144d09aea8,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 d09d663055b3b6d588bf4de2f386bb144d09aea8,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

+d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 d00e573a85f764c398ea35120ab2a0bf90fb09c0,Deep Learning Framework for Pedestrian Collision Avoidance System (PeCAS),University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 d060a7a715f2e233dd09777bf651be10fa19f3d3,Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu,

 d060a7a715f2e233dd09777bf651be10fa19f3d3,Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu,

 d060a7a715f2e233dd09777bf651be10fa19f3d3,Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu,

 d04d5692461d208dd5f079b98082eda887b62323,Subspace learning with frequency regularizer: Its application to face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 d02b32b012ffba2baeb80dca78e7857aaeececb0,Human Pose Estimation : Extension and Application,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+d02b32b012ffba2baeb80dca78e7857aaeececb0,Human Pose Estimation : Extension and Application,India,India,India,20.59368400,78.96288000,edu,

 d0137881f6c791997337b9cc7f1efbd61977270d,University of Dundee An automated pattern recognition system for classifying indirect immunofluorescence images for HEp-2 cells and specimens,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu,

 d0e895a272d684a91c1b1b1af29747f92919d823,Classification of Mouth Action Units using Local Binary Patterns,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 d0e895a272d684a91c1b1b1af29747f92919d823,Classification of Mouth Action Units using Local Binary Patterns,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

@@ -8961,8 +11000,10 @@ d01303062b21cd9ff46d5e3ff78897b8499480de,Multi-task Learning by Maximizing Stati
 d01303062b21cd9ff46d5e3ff78897b8499480de,Multi-task Learning by Maximizing Statistical Dependence,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 d074b33afd95074d90360095b6ecd8bc4e5bb6a2,Human-Robot Collaboration: a Survey,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 d0e684f9614ab97a8f4ec47775124242ce493f26,Group tracking: exploring mutual relations for multiple object tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+d0b083befa0034bcd4a1349336fb30158157e6d8,A Semantic Distance Based Nearest Neighbor Method for Image Annotation,China,China,China,35.86166000,104.19539700,edu,

 d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 d02bf4082850a667bf0b7b6205df1cf9c1899233,Quantifying the visual concreteness of words and topics in multimodal datasets,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 d02bf4082850a667bf0b7b6205df1cf9c1899233,Quantifying the visual concreteness of words and topics in multimodal datasets,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

@@ -8976,14 +11017,18 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to
 5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b,Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

 5fc662287842e5cb2d23b5fa917354e957c573bf,DenseNet: Implementing Efficient ConvNet Descriptor Pyramids,"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,

 5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89,Context-Aware Captions from Context-Agnostic Supervision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+5f19b98e5cd22198d25660d609cbd3f4a69c94e7,Combining Head Pose and Eye Location Information for Gaze Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5fea26746f3140b12317fcf3bc1680f2746e172e,Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 5fea26746f3140b12317fcf3bc1680f2746e172e,Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+5f871838710a6b408cf647aacb3b198983719c31,Locally Linear Regression for Pose-Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5f79398057bf0bbda9ff50067bc1f2950c2a2266,Progressive Neural Architecture Search,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 5f676d6eca4c72d1a3f3acf5a4081c29140650fb,To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 5f676d6eca4c72d1a3f3acf5a4081c29140650fb,To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 5f39d07dd39e5d7cfba535ada3a0ab9d5d0efb5b,Perceptual dehumanization of faces is activated by norm violations and facilitates norm enforcement.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 5f593354fec6d6ab770a3e000684b9280cef5bbc,06-07 Active Shape Models Using Local Binary Patterns,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 5f593354fec6d6ab770a3e000684b9280cef5bbc,06-07 Active Shape Models Using Local Binary Patterns,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively",India,India,India,20.59368400,78.96288000,edu,

+5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively",India,India,India,20.59368400,78.96288000,edu,

 5fe89653d22d35cf98a6fe6e6793da82a55f5c9f,Collaborative Deep Reinforcement Learning for Multi-object Tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 5f94969b9491db552ffebc5911a45def99026afe,Multimodal Learning and Reasoning for Visual Question Answering,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 5f94969b9491db552ffebc5911a45def99026afe,Multimodal Learning and Reasoning for Visual Question Answering,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

@@ -8997,12 +11042,17 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to
 5f771fed91c8e4b666489ba2384d0705bcf75030,Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 5f7fd05f09dd6433cb273a1d33bdf75873509983,A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 5f7fd05f09dd6433cb273a1d33bdf75873509983,A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

+5f32ba9d85234f20203c31d2dca0793908f825a9,NEURAL NETWORK BASED SUPERVISED SELF,India,India,India,20.59368400,78.96288000,edu,

+5f32ba9d85234f20203c31d2dca0793908f825a9,NEURAL NETWORK BASED SUPERVISED SELF,India,India,India,20.59368400,78.96288000,edu,

 5f453a35d312debfc993d687fd0b7c36c1704b16,A Training Assistant Tool for the Automated Visual Inspection System,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 5f453a35d312debfc993d687fd0b7c36c1704b16,A Training Assistant Tool for the Automated Visual Inspection System,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 5f2a8e79d02ac5bf91109f29f999aa13be0983bb,Recognizing Disguised Faces: Human and Machine Evaluation,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

 5ff3a03d000fe14990b04bbfc634fc2eda0d6eb5,Hierarchical feed-forward network for object detection tasks,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

 5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu,

+5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,China,China,China,35.86166000,104.19539700,edu,

+5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,China,China,China,35.86166000,104.19539700,edu,

 5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu,

+5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,China,China,China,35.86166000,104.19539700,edu,

 5fd6863a59e88b45f62e82bb72dff3fb52c49be1,Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 5fd6863a59e88b45f62e82bb72dff3fb52c49be1,Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 5fd6863a59e88b45f62e82bb72dff3fb52c49be1,Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -9011,9 +11061,13 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to
 5f7c4c20ae2731bfb650a96b69fd065bf0bb950e,A new fuzzy membership assignment and model selection approach based on dynamic class centers for fuzzy SVM family using the firefly algorithm,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 5f57a1a3a1e5364792b35e8f5f259f92ad561c1f,Implicit Sparse Code Hashing,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 5fba1b179ac80fee80548a0795d3f72b1b6e49cd,Virtual U: Defeating Face Liveness Detection by Building Virtual Models from Your Public Photos,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

+5fc371760fd4c8abe94b91ae2ca03d428ac05faa,Fear-Speci fi c Amygdala Function in Children and Adolescents on the Fragile X Spectrum : A Dosage Response of the FMR 1 Gene,India,India,India,20.59368400,78.96288000,edu,

+5f26ab1b415e3cfa9d9f20cc93154939f3c28ebc,Classifying covert photographs,China,China,China,35.86166000,104.19539700,edu,

 5f26ab1b415e3cfa9d9f20cc93154939f3c28ebc,Classifying covert photographs,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 5fb50e750f700f920f06b3982bd16ea920d11f68,Learning Temporal Transformations From Time-Lapse Videos,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 5f724a84647c5a70865509910070077962433dca,Reconstructive Memory for Abstract Selective Recall,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+5f7a5ba79ad2c4aa7762470a3c7b59001e2f0de0,Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5f7a5ba79ad2c4aa7762470a3c7b59001e2f0de0,Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5fac62a3de11125fc363877ba347122529b5aa50,AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb,A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1,Focus On What's Important: Self-Attention Model for Human Pose Estimation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

@@ -9026,25 +11080,36 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to
 5feacd9dd73827fb438a6bf6c8b406f4f11aa2fa,Slanted Stixels: Representing San Francisco's Steepest Streets,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu,

 5feacd9dd73827fb438a6bf6c8b406f4f11aa2fa,Slanted Stixels: Representing San Francisco's Steepest Streets,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 5f94e354faeba1d330088b926d1f7886067bc93f,RefineNet : MultiPath Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c,Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 5fc32e3a37d70b4af3c237328736c81987389876,Skeleton-Based Shape Classification Using Path Similarity,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+5fc32e3a37d70b4af3c237328736c81987389876,Skeleton-Based Shape Classification Using Path Similarity,China,China,China,35.86166000,104.19539700,edu,

 5fc32e3a37d70b4af3c237328736c81987389876,Skeleton-Based Shape Classification Using Path Similarity,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 5fa04523ff13a82b8b6612250a39e1edb5066521,Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+5f107c92dd1c3f294b53627a5de1c7c46d996994,Complex Eye Movement Pattern Biometrics: The Effects of Environment and Stimulus,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5fdd81fd5e4caa852b6be3e6bf7891578248d662,A Distributed Weighted Voting Approach for Accurate Eye Center Estimation,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,India,India,India,20.59368400,78.96288000,edu,

+5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,India,India,India,20.59368400,78.96288000,edu,

+5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,India,India,India,20.59368400,78.96288000,edu,

+5fc15baee1383d502775fab8ee91d56f4875429c,Factorial Discriminant Analysis for 3 D Face Recognition System using SVM Classifier,India,India,India,20.59368400,78.96288000,edu,

 5f6ab4543cc38f23d0339e3037a952df7bcf696b,Video2vec: Learning semantic spatio-temporal embeddings for video representation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 5f6ab4543cc38f23d0339e3037a952df7bcf696b,Video2vec: Learning semantic spatio-temporal embeddings for video representation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 5f6ab4543cc38f23d0339e3037a952df7bcf696b,Video2vec: Learning semantic spatio-temporal embeddings for video representation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 5f0facd360d54bc0d532c90ec2ced4c54043d15b,One-Shot Learning of Scene Locations via Feature Trajectory Transfer,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu,

 5fabe9b544fc3a80d356f0e4ebe323093cd5aa5b,Efficient color face detection algorithm under different lighting conditions,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+5fabe9b544fc3a80d356f0e4ebe323093cd5aa5b,Efficient color face detection algorithm under different lighting conditions,China,China,China,35.86166000,104.19539700,edu,

 5f790739bb4e11bdf4fef85c293edc04aae903a3,Using genetic programming for multiclass classification by simultaneously solving component binary classification problems,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu,

+5ff64afd70434b12e043ff39a91271eab6391124,Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters,China,China,China,35.86166000,104.19539700,edu,

 5ff708d399962a07f77c9bbc0d5efda52aa6915e,Pedestrian Prediction by Planning Using Deep Neural Networks,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 5f27ed82c52339124aa368507d66b71d96862cb7,"Semi-supervised Learning of Classifiers : Theory , Algorithms and Their Application to Human-Computer Interaction",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,

 5f27ed82c52339124aa368507d66b71d96862cb7,"Semi-supervised Learning of Classifiers : Theory , Algorithms and Their Application to Human-Computer Interaction","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 5feb1341a49dd7a597f4195004fe9b59f67e6707,A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 5fb23b55de1c613517f55a1b878bc68bd4b543e3,Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation,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,

+5f7ae1e13c00bb58856374b9888f1ddf73c6865e,Gender classification using face image and voice,India,India,India,20.59368400,78.96288000,edu,

+5f7ae1e13c00bb58856374b9888f1ddf73c6865e,Gender classification using face image and voice,India,India,India,20.59368400,78.96288000,edu,

 d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe,Learning to Decompose and Disentangle Representations for Video Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe,Learning to Decompose and Disentangle Representations for Video Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe,Learning to Decompose and Disentangle Representations for Video Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -9064,22 +11129,38 @@ d92c9295a050b09db921b8ef986264dc5d7eba22,On the Flip Side: Identifying Counterex
 d92c9295a050b09db921b8ef986264dc5d7eba22,On the Flip Side: Identifying Counterexamples in Visual Question Answering,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 d92c9295a050b09db921b8ef986264dc5d7eba22,On the Flip Side: Identifying Counterexamples in Visual Question Answering,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 d99ec70dac11292c63b7726c58c24dfacddb2889,Learning visual attribute from image and text ∗,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

-d95213a0ef820c93bf0a41e1ce24aea1dc9f137d,Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+d95213a0ef820c93bf0a41e1ce24aea1dc9f137d,Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,China,China,China,35.86166000,104.19539700,edu,

 d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

+d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,China,China,China,35.86166000,104.19539700,edu,

 d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 d90026a9ca2489707aff2807617f3782f78097be,"Survey on audiovisual emotion recognition : databases , features , and data fusion strategies",Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 d9bda208addf00a55df23821f6d4abdb85e73599,Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+d9bda208addf00a55df23821f6d4abdb85e73599,Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery,China,China,China,35.86166000,104.19539700,edu,

 d9358de0d80f4f4d89c91b2b16fd52279b4834e4,Exploring Correlations for Multiple Facial Attributes Recognition through Graph Attention Network,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+d9358de0d80f4f4d89c91b2b16fd52279b4834e4,Exploring Correlations for Multiple Facial Attributes Recognition through Graph Attention Network,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 d91576dc1bb96636edfead160932f4a9d1a43dc4,SLAMM: Visual monocular SLAM with continuous mapping using multiple maps,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 d9bbaa38d7997f334ef8d662fd2ce380d495545a,Face Recognition System Based on Spectral Graph Wavelet Theory,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

+d9bbaa38d7997f334ef8d662fd2ce380d495545a,Face Recognition System Based on Spectral Graph Wavelet Theory,India,India,India,20.59368400,78.96288000,edu,

+d950af49c44bc5d9f4a5cc1634e606004790b1e5,Divide and Fuse: A Re-ranking Approach for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 d961617db4e95382ba869a7603006edc4d66ac3b,Experimenting Motion Relativity for Action Recognition with a Large Number of Classes,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+d961617db4e95382ba869a7603006edc4d66ac3b,Experimenting Motion Relativity for Action Recognition with a Large Number of Classes,China,China,China,35.86166000,104.19539700,edu,

 d9519d66f9844fcf306cc205593a55cf01090633,Image2song: Song Retrieval via Bridging Image Content and Lyric Words,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 d9519d66f9844fcf306cc205593a55cf01090633,Image2song: Song Retrieval via Bridging Image Content and Lyric Words,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 d9b69093a82ee7cb9ad499c76c9b0d30aa377454,"PReMVOS : Proposal-generation , Refinement and Merging for the YouTube-VOS Challenge on Video Object Segmentation 2018",RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+d9327b9621a97244d351b5b93e057f159f24a21e,Laplacian smoothing transform for face recognition,China,China,China,35.86166000,104.19539700,edu,

 d9fdc9c63bb4838031eac017ba9b8e9bda3cb845,Trading-off performance and complexity in identification problem,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

+d9bfc8095bfa604d90e1cb8c878ab844c2f89464,Kinship through Imaging,India,India,India,20.59368400,78.96288000,edu,

+d9bfc8095bfa604d90e1cb8c878ab844c2f89464,Kinship through Imaging,India,India,India,20.59368400,78.96288000,edu,

 d94969ec95d4c8cd7d0d4da3e83131b6f76cd7c4,Non-local NetVLAD Encoding for Video Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,India,India,India,20.59368400,78.96288000,edu,

+d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,India,India,India,20.59368400,78.96288000,edu,

+d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,India,India,India,20.59368400,78.96288000,edu,

 d934eec76a2588934094098987de72bdf1214d48,One-Shot Unsupervised Cross Domain Translation,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 d925540a8cdedb92c7f20ebfd9b8baf36fe6caa4,The utility of 3 D landmarks for arbitrary pose face recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 d91d1fc3f54fafaa66df12b9db2f83b477992e37,SPIN: Seamless Operating System Integration of Peer-to-Peer DMA Between SSDs and GPUs,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

@@ -9090,6 +11171,8 @@ d9c4586269a142faee309973e2ce8cde27bda718,Contextual Visual Similarity,Carnegie M
 d9aca4cfe6bf49056c4bc6796414355a59cf5fb5,3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 d9a4c399f6759a9290c8d9038ae582dcc8a24a18,Using Raspberry Pi for scientific video observation of pedestrians during a music festival,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 d94395882da6da17cee0a6ea6f1058314f091f05,Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video,"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,

+d9318c7259e394b3060b424eb6feca0f71219179,Face Matching and Retrieval Using Soft Biometrics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+d9ef1a80738bbdd35655c320761f95ee609b8f49,A Research-Face Recognition by Using Near Set Theory,India,India,India,20.59368400,78.96288000,edu,

 d9533bede70753bf1fba1e4cc7ad492b88ccf373,STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,Generalizing a Person Retrieval Model Hetero- and Homogeneously,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,Generalizing a Person Retrieval Model Hetero- and Homogeneously,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

@@ -9106,17 +11189,21 @@ d972b4da29aebf5da7c02e77a9118b0f60895985,Embedding Network for Visual Relation D
 963d0d40de8780161b70d28d2b125b5222e75596,Convolutional Experts Constrained Local Model 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,

 96a9ca7a8366ae0efe6b58a515d15b44776faf6e,Grid Loss: Detecting Occluded Faces,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 96094b030013ca2d9b6d5a14b6f1fbbc57eb8a89,What is in that picture ? Visual Question Answering System,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+96fc93175169b788acd98f0a676dffab00651cbc,On Matching Faces with Alterations due to Plastic Surgery and Disguise,India,India,India,20.59368400,78.96288000,edu,

 96c866f07ff999ee11459519aa361fa4fdfc2139,Consensus-based Sequence Training for Video Captioning.,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-２ Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu,

 96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d,Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d,Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 966b76acfa75253679b1a82ecc5a68e523f5c0c9,Preference suppression caused by misattribution of task-irrelevant subliminal motion.,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 96f0e7416994035c91f4e0dfa40fd45090debfc5,Unsupervised Learning of Face Representations,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 966e36f15b05ef8436afecf57a97b73d6dcada94,Dimensionality Reduction using Relative Attributes,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 96e0cfcd81cdeb8282e29ef9ec9962b125f379b0,The MegaFace Benchmark: 1 Million Faces for Recognition at Scale,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 96c9b289dedae6f29878d1380e4668d0679a53cf,Soft- and hard-tissue facial anthropometry in three dimensions: what's new.,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu,

+96c9b289dedae6f29878d1380e4668d0679a53cf,Soft- and hard-tissue facial anthropometry in three dimensions: what's new.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc,Emotion Based Music Player,India,India,India,20.59368400,78.96288000,edu,

 969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce,End-To-End Face Detection and Recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce,End-To-End Face Detection and Recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 9696ad8b164f5e10fcfe23aacf74bd6168aebb15,4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications,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,

@@ -9139,37 +11226,57 @@ d972b4da29aebf5da7c02e77a9118b0f60895985,Embedding Network for Visual Relation D
 96416b1b44fb05302c6e9a8ab1b74d9204995e73,Learning Effective Binary Visual Representations with Deep Networks,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 9677d2f6a994f598c1d631038d49401c5f707ee0,"See, Hear, and Read: Deep Aligned Representations",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 9627f28ea5f4c389350572b15968386d7ce3fe49,Load Balanced GANs for Multi-view Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,India,India,India,20.59368400,78.96288000,edu,

+9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,India,India,India,20.59368400,78.96288000,edu,

+9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,India,India,India,20.59368400,78.96288000,edu,

 96921b313f4c8dd6cb2299de1a24d4e9803ffdc1,Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu,

 96e731e82b817c95d4ce48b9e6b08d2394937cf8,Unconstrained face verification using deep CNN features,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 96858cea5e9c72a93d438b6ba8d9e027db5416a7,Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 96858cea5e9c72a93d438b6ba8d9e027db5416a7,Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,China,China,China,35.86166000,104.19539700,edu,

 96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,China,China,China,35.86166000,104.19539700,edu,

 9612fd66fcd3902bc267a62c146398eb8d30830e,Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects and Human Poses,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 969c4d89d7b22b36d8fc569156ca6e040b31565d,Soft Biometric Recognition from Comparative Crowdsourced Annotations,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+96d6e0bf752c42ede0170e9b332ca390ac75cd1f,Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition,China,China,China,35.86166000,104.19539700,edu,

 965f8bb9a467ce9538dec6bef57438964976d6d9,Recognizing human faces under disguise and makeup,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 961e411c99d8ca6807076c4fb18e2d63a383aa0f,Non-negative matrix factorization methods for face recognition under extreme lighting variations,University of Oradea,University of Oradea,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu,

+961e411c99d8ca6807076c4fb18e2d63a383aa0f,Non-negative matrix factorization methods for face recognition under extreme lighting variations,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 96086909b0b89894aa5423f19d15d5843b95ca87,Convolutional Neural Network for Trajectory Prediction,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 969ed0575736943c2db62793583f99365d10fbac,Elevated amygdala response to faces following early deprivation.,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 969ed0575736943c2db62793583f99365d10fbac,Elevated amygdala response to faces following early deprivation.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 96e1ccfe96566e3c96d7b86e134fa698c01f2289,Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 96e1ccfe96566e3c96d7b86e134fa698c01f2289,Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

 96578785836d7416bf2e9c154f687eed8f93b1e4,Automated video-based facial expression analysis of neuropsychiatric disorders,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+9603b3a4649fd217752972909d627bde8e0a5023,Spectral Hashing With Semantically Consistent Graph for Image Indexing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 96b83ec9c34c5b8d20797ef0c25f0eb45a7ff389,Face recognition by curvelet based feature extraction,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

+96b83ec9c34c5b8d20797ef0c25f0eb45a7ff389,Face recognition by curvelet based feature extraction,India,India,India,20.59368400,78.96288000,edu,

 a7da28249072b4983d40aff532c1ad5986cc5f80,DeepWriter: A Multi-stream Deep CNN for Text-Independent Writer Identification,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 a7da28249072b4983d40aff532c1ad5986cc5f80,DeepWriter: A Multi-stream Deep CNN for Text-Independent Writer Identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+a758b744a6d6962f1ddce6f0d04292a0b5cf8e07,"Study on Human Face Recognition under Invariant Pose , Illumination and Expression using LBP , LoG and SVM",India,India,India,20.59368400,78.96288000,edu,

+a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,India,India,India,20.59368400,78.96288000,edu,

+a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,India,India,India,20.59368400,78.96288000,edu,

 a754989741afb89e588b52de375054dffbeda39d,Max-Margin Multiple-Instance Dictionary Learning,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 a7aa69b348701f8efb7bc04f36e93ef85ec8a017,Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu,

-a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 a776acc53591c3eb0b53501d9758d984e2e52a97,Weakly Supervised Instance Segmentation using Class Peak Response,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 a776acc53591c3eb0b53501d9758d984e2e52a97,Weakly Supervised Instance Segmentation using Class Peak Response,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+a775da3e6e6ea64bffab7f9baf665528644c7ed3,Human Face Pose Estimation based on Feature Extraction Points,India,India,India,20.59368400,78.96288000,edu,

+a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,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,

 a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,Aberystwyth University,Aberystwyth University,"Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK",52.41073580,-4.05295501,edu,

 a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

+a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 a7e9d230bc44dfbe56757f3025d5b4caa49032f3,Unity in Diversity: Discovering Topics from Words - Information Theoretic Co-clustering for Visual Categorization,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+a77e9f0bd205a7733431a6d1028f09f57f9f73b0,Multimodal feature fusion for CNN-based gait recognition: an empirical comparison,University of Malaga,University of Malaga,"Av. de Cervantes, 2, 29016 Málaga, Spain",36.71995060,-4.41609270,edu,

 a70e36daf934092f40a338d61e0fe27be633f577,Enhanced facial feature tracking of spontaneous and continuous expressions.,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 a72821008c41032e82f377b53bd96b5f7f8be025,Recognition using Discriminative Structured Trajectory Groups,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 a71b99357b0952858f98867ed0cbc87738899e1a,ScratchDet : Training Single-Shot Object Detectors from Scratch,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -9177,6 +11284,7 @@ a75d8fdd48512ff91b393dab07cd0a4f7bf47b65,Unsupervised Learning of Multi-Frame Op
 a7a66d713776e78ae60617eee2715443a8565a23,Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption,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,

 a7c39a4e9977a85673892b714fc9441c959bf078,Automated Individualization of Deformable Eye Region Model and Its Application to Eye Motion Analysis,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 a7c39a4e9977a85673892b714fc9441c959bf078,Automated Individualization of Deformable Eye Region Model and Its Application to Eye Motion Analysis,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,

+a7fe834a0af614ce6b50dc093132b031dd9a856b,Orientation Driven Bag of Appearances for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a75edf8124f5b52690c08ff35b0c7eb8355fe950,Authentic Emotion Detection in Real-Time Video,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 a75edf8124f5b52690c08ff35b0c7eb8355fe950,Authentic Emotion Detection in Real-Time Video,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,

 a75095fcfa78972dd222810fb3e39d77ff6493aa,Fusing Complementary Operators to Enhance Foreground/Background Segmentation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

@@ -9189,7 +11297,11 @@ a7d7fba176e442f60899c57b976ae6de6d013ceb,Gender differences in experiential and
 a7d7fba176e442f60899c57b976ae6de6d013ceb,Gender differences in experiential and facial reactivity to approval and disapproval during emotional social interactions,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,

 a7d7fba176e442f60899c57b976ae6de6d013ceb,Gender differences in experiential and facial reactivity to approval and disapproval during emotional social interactions,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu,

 a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu,

+a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,China,China,China,35.86166000,104.19539700,edu,

+a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,China,China,China,35.86166000,104.19539700,edu,

 a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu,

+a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,China,China,China,35.86166000,104.19539700,edu,

+a77e0db38ed7ad95a3bca95fea72048985c54508,DART: Distribution Aware Retinal Transform for Event-based Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a7b4291b1feebaed4a36808df2a17a3e452b9efa,"Zero-Shot Learning — The Good, the Bad and the Ugly",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 a7b4291b1feebaed4a36808df2a17a3e452b9efa,"Zero-Shot Learning — The Good, the Bad and the Ugly",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,

 a77342abe136fdbef8da9b43055356e3596c570c,Revealing the secret of facehashing,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

@@ -9199,6 +11311,7 @@ a71d0bf3b8fa6cf0069fe12f3fe6d695fac7dd44,DRAG : A Database for Recognition and A
 a7191958e806fce2505a057196ccb01ea763b6ea,Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 a7191958e806fce2505a057196ccb01ea763b6ea,Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 a7a0099caf89bedbf4de1c61499f999ea4fc7d98,Combining Class Taxonomies and Multi Task Learning To Regularize Fine-grained Recognition,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+a7a0099caf89bedbf4de1c61499f999ea4fc7d98,Combining Class Taxonomies and Multi Task Learning To Regularize Fine-grained Recognition,India,India,India,20.59368400,78.96288000,edu,

 a7678cce6bfca4a34feee5564c87c80fe192a0fd,The Weakly Identifying System for Doorway Monitoring,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 a7678cce6bfca4a34feee5564c87c80fe192a0fd,The Weakly Identifying System for Doorway Monitoring,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 a70650358cc226e7f613b49f93d7eca044ca608e,Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

@@ -9217,21 +11330,25 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 5a716a15b94a84ef3a76edce1e9dadc0f633e498,Crowd Counting with Deep Negative Correlation Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 5a87bc1eae2ec715a67db4603be3d1bb8e53ace2,A Novel Convergence Scheme for Active Appearance Models,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 5a8ca0cfad32f04449099e2e3f3e3a1c8f6541c0,Automatic Frontal Face Reconstruction Approach for Pose Invariant Face Recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

+5a8ca0cfad32f04449099e2e3f3e3a1c8f6541c0,Automatic Frontal Face Reconstruction Approach for Pose Invariant Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 5a5ae31263517355d15b7b09d74cb03e40093046,Super Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu,

 5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4,SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 5a48999cf31b26191e2db60d80794163d5f8c43d,Recognition of Activities of Daily Living with Egocentric Vision: A Review,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 5ac63895a7d3371a739d066bb1631fc178d8276a,Learning Semantic Feature Map for Visual Content Recognition,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 5ac63895a7d3371a739d066bb1631fc178d8276a,Learning Semantic Feature Map for Visual Content Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 5a1c2ca8b81f924bc7584c2ea873c024cc979a1d,Deep Structured Energy-Based Image Inpainting,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

+5a1c2ca8b81f924bc7584c2ea873c024cc979a1d,Deep Structured Energy-Based Image Inpainting,"RIKEN Center for AIP, Tokyo, Japan","RIKEN Center for AIP, Tokyo, Japan","Japan, 〒103-0027 Tokyo, Chūō, Nihonbashi, 1 Chome−4−１ 日本橋一丁目三井ビルディング 15階",35.68253370,139.77463210,edu,

 5a5f9e0ed220ce51b80cd7b7ede22e473a62062c,Videos as Space-Time Region Graphs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0,Comparing Emotion Recognition Skills among Children with and without Jailed Parents,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

+5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0,Comparing Emotion Recognition Skills among Children with and without Jailed Parents,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu,

 5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0,Comparing Emotion Recognition Skills among Children with and without Jailed Parents,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 5a672a0e5c95dd70041989d60672b7b2017f7018,Attention in Multimodal Neural Networks for Person Re-identification,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

-5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 5a11ba25cd048f384a83882a5a4dc25db9493b80,Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 5a11ba25cd048f384a83882a5a4dc25db9493b80,Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery,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,

+5af5802cc6128bafbde1ae12e0ab41612aee9e3b,An object tracking method using extreme learning machine with online learning,China,China,China,35.86166000,104.19539700,edu,

 5aa63f9c0310c4dd64801b379266b778f4778445,Brain Network Activity During Face Perception: The Impact of Perceptual Familiarity and Individual Differences in Childhood Experience.,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 5a96f2bfa2deae2bc35b250251d5fbe82ef4932b,Tensor Fusion Network for Multimodal Sentiment Analysis,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,

 5a3800bee147ad58ab7d6c55d8a2be484c17a511,From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

@@ -9247,8 +11364,14 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 5aa7f33cdc00787284b609aa63f5eb5c0a3212f6,Multiplicative mixing of object identity and image attributes in single inferior temporal neurons,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 5a07945293c6b032e465d64f2ec076b82e113fa6,Pulling Actions out of Context : Explicit Separation for Effective Combination,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 5aadd85e2a77e482d44ac2a215c1f21e4a30d91b,Face Recognition using Principle Components and Linear Discriminant Analysis,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

+5a7520380d9960ff3b4f5f0fe526a00f63791e99,The Indian Spontaneous Expression Database for Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+5a34a9bb264a2594c02b5f46b038aa1ec3389072,Label-Embedding for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+182f3aa4b02248ff9c0f9816432a56d3c8880706,Sparse Coding for Classification via Discrimination Ensemble,China,China,China,35.86166000,104.19539700,edu,

+182f3aa4b02248ff9c0f9816432a56d3c8880706,Sparse Coding for Classification via Discrimination Ensemble,China,China,China,35.86166000,104.19539700,edu,

 182f3aa4b02248ff9c0f9816432a56d3c8880706,Sparse Coding for Classification via Discrimination Ensemble,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+18a9f3d855bd7728ed4f988675fa9405b5478845,AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

 18a9f3d855bd7728ed4f988675fa9405b5478845,AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION,Manonmaniam Sundaranar University,Manonmaniam Sundaranar University,"Manonmaniam Sundaranar University, Tenkasi-Tirunelveli, Gandhi Nagar, Tirunelveli, Tirunelveli Kattabo, Tamil Nadu, 627808, India",8.76554685,77.65100445,edu,

+18a9f3d855bd7728ed4f988675fa9405b5478845,AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

 1839830486082578d2612e46a89e0e727ea1773a,Learning Hash Codes with Listwise Supervision,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 1839830486082578d2612e46a89e0e727ea1773a,Learning Hash Codes with Listwise Supervision,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 1839830486082578d2612e46a89e0e727ea1773a,Learning Hash Codes with Listwise Supervision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

@@ -9260,6 +11383,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 186d6d47855cb00c5bc99497932422b8963510cd,Image Retrieval with a Bayesian Model of Relevance Feedback,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 186d6d47855cb00c5bc99497932422b8963510cd,Image Retrieval with a Bayesian Model of Relevance Feedback,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 184c3e66a746376716d5e816d95e1a7cb8e04390,Unsupervised learning of a scene-specific coarse gaze estimator,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+184c3e66a746376716d5e816d95e1a7cb8e04390,Unsupervised learning of a scene-specific coarse gaze estimator,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 18cf63b20521964f2115f6c939f70e582999bff5,Analysing False Positives and 3D Structure to Create Intelligent Thresholding and Weighting Functions for SIFT Features,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 189b1859f77ddc08027e1e0f92275341e5c0fdc6,Sparse Representations and Distance Learning for Attribute Based Category Recognition,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 187480101af3fb195993da1e2c17d917df24eb23,Unsupervised Visual Representation Learning by Context Prediction,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,

@@ -9279,8 +11403,10 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 1836eb6b095f868a91364a4113cdd9a94fdbfadd,Face Averages Enhance User Recognition for Smartphone Security,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

 1836eb6b095f868a91364a4113cdd9a94fdbfadd,Face Averages Enhance User Recognition for Smartphone Security,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 187d4d9ba8e10245a34f72be96dd9d0fb393b1aa,Mining visual actions from movies,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+187d4d9ba8e10245a34f72be96dd9d0fb393b1aa,Mining visual actions from movies,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 181d0534f2c0233804a6f90c75c919d868fd58e1,Distinguishing Posed and Spontaneous Smiles by Facial Dynamics,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 18ced9c7bab4d7fa69ccf2d3c8783317ba94e59f,Opportunistic Human Observation Attacks: Perils in Designing Zero-Effort Deauthentication,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+1886b6d9c303135c5fbdc33e5f401e7fc4da6da4,Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 18200e8db6fc63f16d5ed098b5abc17bf0939333,The Fastest Pedestrian Detector in the West,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 18200e8db6fc63f16d5ed098b5abc17bf0939333,The Fastest Pedestrian Detector in the West,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 188d26a005b6aac1448b9c52529b93a186c33685,Predictive network with leveraging clinical measures as auxiliary task,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,

@@ -9288,12 +11414,15 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 188d26a005b6aac1448b9c52529b93a186c33685,Predictive network with leveraging clinical measures as auxiliary task,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,

 18dd8e04ecb5421b13aac39c288cd8dc3a541178,Unsupervised Selective Transfer Learning for Object Recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 188951263d3140b3b5f5579e7a745317356e75ce,Face-space architectures: evidence for the use of independent color-based features.,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,

+18c4a0e82fdddda2530b7281ad567abc0373a89f,Principal Coefficients Embedding: Theory and Algorithm,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 18219d85bb14f851fc4714df19cc7f38dff8ddc3,Adaptation of Convolutional Neural Networks for the 2017 DAVIS Challenge on Video Object Segmentation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 18166432309000d9a5873f989b39c72a682932f5,LEARNING A WARPED SUBSPACE MODEL OF FACES WITH IMAGES OF UNKNOWN POSE AND ILLUMINATION,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 188ee38f451cb2134bd11e4265cbfe26ac0ab717,Lip Biometrics for Digit Recognition,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 188ee38f451cb2134bd11e4265cbfe26ac0ab717,Lip Biometrics for Digit Recognition,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 183c10b7d9ff26576e13a6639de0f7af206ed058,Face recognition based on frontal views generated from non-frontal images,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

+1837decb49fb6fc68a6085e797faefb591fecb8a,Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network,"POSTECH, Pohang, Korea","POSTECH, Pohang, Korea","77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea",36.01388570,129.32318360,edu,

 1837decb49fb6fc68a6085e797faefb591fecb8a,Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+18727c3f4ada0cec9e5914340cc672d0554d7784,"3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 18078e72bddefffc24a6e882790aca8531773bed,Sublinear scaling of country attractiveness observed from Flickr dataset,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 186370ecc1f05ef8d3f611873a039fcde3af68b5,Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152).,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 183c8da12a07e2002fd71edbabeca5b3bfb45d66,Grounding Natural Language Instructions with Unknown Object References using Learned Visual Attributes,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -9306,32 +11435,44 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 185aaed9d48f42463791726f1ddf4e1be64a47d9,Person Re-Identification with Vision and Language,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,

 185aaed9d48f42463791726f1ddf4e1be64a47d9,Person Re-Identification with Vision and Language,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 18fe63c013983bea53be7d559ef36a1f385ca6ea,DR AF T Supervision Beyond Human Annotations for Learning Visual Representations,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,

+18233c55982050292ba7f6a5462c0e7576c3398d,Face Recognition using Eye Distance and PCA Approaches,India,India,India,20.59368400,78.96288000,edu,

+18a4399b8afb460cbd4de2225f39ed23a95336d6,HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+18cd79f3c93b74d856bff6da92bfc87be1109f80,An Application to Human Face Photo-sketch Synthesis and Recognition,India,India,India,20.59368400,78.96288000,edu,

 18095a530b532a70f3b615fef2f59e6fdacb2d84,Deep Structured Scene Parsing by Learning with Image Descriptions,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 18095a530b532a70f3b615fef2f59e6fdacb2d84,Deep Structured Scene Parsing by Learning with Image Descriptions,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 1875b2325b3efcb49dec51c6416f40862db4fe74,Functional abnormalities of the default network during self- and other-reflection in autism.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 185263189a30986e31566394680d6d16b0089772,Efficient Annotation of Objects for Video Analysis,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+185263189a30986e31566394680d6d16b0089772,Efficient Annotation of Objects for Video Analysis,India,India,India,20.59368400,78.96288000,edu,

 18aaeaba26d95482fc40d560c49f0a7f22ea0870,Automatic Detection of Learning-Centered Affective States in the Wild,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 18aaeaba26d95482fc40d560c49f0a7f22ea0870,Automatic Detection of Learning-Centered Affective States in the Wild,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 18aaeaba26d95482fc40d560c49f0a7f22ea0870,Automatic Detection of Learning-Centered Affective States in the Wild,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

+18c72175ddbb7d5956d180b65a96005c100f6014,From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+18aae0f20fdc6aab093c72c81005247d2cbc8512,Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 18c515d42666c95079f9a98eab59ac1cdfb10859,An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu,

 18c515d42666c95079f9a98eab59ac1cdfb10859,An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 182470fd0c18d0c5979dff75d089f1da176ceeeb,A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

 182470fd0c18d0c5979dff75d089f1da176ceeeb,A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu,

 18941b52527e6f15abfdf5b86a0086935706e83b,DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

-18b9dc55e5221e704f90eea85a81b41dab51f7da,Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+18b9dc55e5221e704f90eea85a81b41dab51f7da,Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 180953265b3ad550682c8f0dc693eda87b82ec91,Thinking of images as what they are: compound matrix regression for image classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 180953265b3ad550682c8f0dc693eda87b82ec91,Thinking of images as what they are: compound matrix regression for image classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 18193194b7000f442c9df5ab16735a1f3ccbb630,Do Explanations make VQA Models more Predictable to a Human?,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+189355bff03076cc5bddaa11239626051931144d,Learning Representations for Automatic Colorization,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

+18d4210a5bb56e92045ef0637208685abaaca6a5,GIANT: geo-informative attributes for location recognition and exploration,China,China,China,35.86166000,104.19539700,edu,

 18c57ddc9c0164ee792661f43a5578f7a00d0330,ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

 1862bfca2f105fddfc79941c90baea7db45b8b16,Annotator rationales for visual recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 18ab9be9af94f2bf4d3828161ffb232d1462526a,SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 18ab9be9af94f2bf4d3828161ffb232d1462526a,SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

+183ad3409a53914247affc599b33af38d94937be,A Latent-Variable Lattice Model,India,India,India,20.59368400,78.96288000,edu,

 85fbc94c8bc8e003006913c4df61ebd593b71192,Efficient Video Object Segmentation via Network Modulation,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 8546885e83f7901340c7893fdfc017cef86d910a,Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 852f960186a32e7762feb68e407d59456bee075e,Learning and Using Taxonomies for Visual and Olfactory Classification,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 8552f6e3f73db564a2e625cceb1d1348d70b598c,Learning Compact Appearance Representation for Video-based Person Re-Identification,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 85c7aab0f58f17816064699865cd0836bfbf2e82,A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI),Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 85476331edc9a9e3393f736f14aa80ad95f3c105,"""Wealth Makes Many Friends"": Children Expect More Giving From Resource-Rich Than Resource-Poor Individuals.",Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

+85476331edc9a9e3393f736f14aa80ad95f3c105,"""Wealth Makes Many Friends"": Children Expect More Giving From Resource-Rich Than Resource-Poor Individuals.",India,India,India,20.59368400,78.96288000,edu,

 85476331edc9a9e3393f736f14aa80ad95f3c105,"""Wealth Makes Many Friends"": Children Expect More Giving From Resource-Rich Than Resource-Poor Individuals.",Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 8588e784033bcbeddad88d45decfd3af2017ad3e,Neural Motifs: Scene Graph Parsing with Global Context,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 8588e784033bcbeddad88d45decfd3af2017ad3e,Neural Motifs: Scene Graph Parsing with Global Context,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,

@@ -9340,6 +11481,8 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 85e283564fca1d1cf4d142647561901a26f144c6,On the Origin of Deep Learning On the Origin of Deep Learning,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,

 85e283564fca1d1cf4d142647561901a26f144c6,On the Origin of Deep Learning On the Origin of Deep Learning,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,

 85304f24f5a1800e66de20ad05e20c8c032b7d03,Understanding and Discovering Deliberate Self-harm Content in Social Media,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using BOV Approach,India,India,India,20.59368400,78.96288000,edu,

+8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using BOV Approach,India,India,India,20.59368400,78.96288000,edu,

 852e7df8794b15413f1d71628939c3cc28580b12,Boosted Audio-Visual HMM for Speech Reading,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 85192977775e1f1001334a13de5d32736fbfd24c,Pedestrian Parsing via Deep Decompositional Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 85192977775e1f1001334a13de5d32736fbfd24c,Pedestrian Parsing via Deep Decompositional Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -9349,22 +11492,35 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 852bdbcd091f48e07e9b989cb326e631e2932d7f,Visual scanning patterns and executive function in relation to facial emotion recognition in aging.,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 852bdbcd091f48e07e9b989cb326e631e2932d7f,Visual scanning patterns and executive function in relation to facial emotion recognition in aging.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 852bdbcd091f48e07e9b989cb326e631e2932d7f,Visual scanning patterns and executive function in relation to facial emotion recognition in aging.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition Systema Comprehensive Review,India,India,India,20.59368400,78.96288000,edu,

+8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition Systema Comprehensive Review,India,India,India,20.59368400,78.96288000,edu,

 858adc1499e556dd4d2c65705dc62d2e3592b3bf,Semantic Feature Augmentation in Few-shot Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 853416c2a96ad46bdf3ef044f7a11e19d86fe073,Head Pose Classification in Crowded Scenes,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 85b32c201ef787e9e28538f1bcbefe30ad785535,Recognition of Vehicles as Changes in Satellite Imagery,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 85b32c201ef787e9e28538f1bcbefe30ad785535,Recognition of Vehicles as Changes in Satellite Imagery,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 85b32c201ef787e9e28538f1bcbefe30ad785535,Recognition of Vehicles as Changes in Satellite Imagery,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,India,India,India,20.59368400,78.96288000,edu,

+851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,India,India,India,20.59368400,78.96288000,edu,

+85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,China,China,China,35.86166000,104.19539700,edu,

+85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,China,China,China,35.86166000,104.19539700,edu,

+85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu,

 85faaad8eddebc960865e351c0e3ea81e25d42eb,Deep Group-shuffling Random Walk for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 85dc159dd1eec52147b24f32f8ddab135abeb8ad,Visual Aesthetic Quality Assessment with Multi-task Deep Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 85957b49896246bb416c0a182e52b355a8fa40b4,Feature Pyramid Network for Multi-Class Land Segmentation,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 8520da50e5e234c14272921868ff36d55e6c7837,BNL-108233-2015-CP Unsupervised Feature Selection on Data Streams,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 85cf25b9c92ffea7d72d33067b2836208d14910c,A large-scale and global car dataset for verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+8569fc88a3d1ac8b873872becb2ee8bc01dc73bc,Deep-Person: Learning Discriminative Deep Features for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 8588e780fc03c628d6ccb64084701c13bc507e79,Face Recognition Using a Color PCA Framework,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

+858555b6f4663fe083d6c81a2671c9cd8130bbf3,Object Discovery via Cohesion Measurement,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 855cf31504da69daf03766b1357030dd07e485f7,Residual Dense Network for Image Super-Resolution,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 855cf31504da69daf03766b1357030dd07e485f7,Residual Dense Network for Image Super-Resolution,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 855cf31504da69daf03766b1357030dd07e485f7,Residual Dense Network for Image Super-Resolution,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,India,India,India,20.59368400,78.96288000,edu,

+853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,India,India,India,20.59368400,78.96288000,edu,

+854dbb4a0048007a49df84e3f56124d387588d99,Spatial-Temporal Recurrent Neural Network for Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8598e603438360884073fcf7b843ac489fad43b2,Emotion Recognition from Arbitrary View Facial Images,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 8598e603438360884073fcf7b843ac489fad43b2,Emotion Recognition from Arbitrary View Facial Images,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

+8598e603438360884073fcf7b843ac489fad43b2,Emotion Recognition from Arbitrary View Facial Images,China,China,China,35.86166000,104.19539700,edu,

 85c2de95080c1e8d955ac57f64a6b51ac186af32,Imputing human descriptions in semantic biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 856c09ab10efbc8c61a84a951746654d947370f3,Human action recognition by learning bases of action attributes and parts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 856c09ab10efbc8c61a84a951746654d947370f3,Human action recognition by learning bases of action attributes and parts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -9373,6 +11529,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 85f14bb2ed4b9d680ae4062cbd571752a1ff1dfa,Efficient 3D Face Recognition with Gabor Patched Spectral Regression,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 8587d26cbcff3e86b5acff0467e10c8f2069f4e7,FigureSeer: Parsing Result-Figures in Research Papers,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 855184c789bca7a56bb223089516d1358823db0b,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,

+85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

@@ -9381,6 +11538,9 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 850d84e4c73a8f0762c8c798b2b7fd6f2787263a,The Discovery of Perceptual Structure from Visual Co-occurrences in Space and Time,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,China,China,China,35.86166000,104.19539700,edu,

+85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,China,China,China,35.86166000,104.19539700,edu,

+85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,China,China,China,35.86166000,104.19539700,edu,

 857ad04fca2740b016f0066b152bd1fa1171483f,Sample images can be independently restored from face recognition templates,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 85639cefb8f8deab7017ce92717674d6178d43cc,"Automatic Analysisof SpontaneousFacial Behavior : A Final Project Report ( UCSDMPLab TR 2001 . 08 , October 31 2001 )","University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 85d8c16ccd76e2eec303f98f2d1ab239dc3947a2,Self Adversarial Training for Human Pose Estimation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

@@ -9396,25 +11556,32 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 35fc0b28d0d674b28dd625d170bc641a36b17318,CSI : Composite Statistical Inference Techniques for Semantic Segmentation,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 35cbf049074382e757bbfc8cc45ccbe467833a7a,A simple neural network module for relational reasoning,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu,

 35f921def890210dda4b72247849ad7ba7d35250,Exemplar-Based Graph Matching for Robust Facial Landmark Localization,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,

+3514140d9c2e692abed0aebe0531f78c250f5806,Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 35700f9a635bd3c128ab41718b040a0c28d6361a,DeepGait : A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 35700f9a635bd3c128ab41718b040a0c28d6361a,DeepGait : A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu,

 351c7e6c2e2fd894626be20a480fa5749e016dc7,LinkNet: Exploiting encoder representations for efficient semantic segmentation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 351c7e6c2e2fd894626be20a480fa5749e016dc7,LinkNet: Exploiting encoder representations for efficient semantic segmentation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,India,India,India,20.59368400,78.96288000,edu,

+3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,India,India,India,20.59368400,78.96288000,edu,

 350af77e01e78e8e3534f42b80b5dd35a602e73c,Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 353b6c1f431feac6edde12b2dde7e6e702455abd,Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 353b6c1f431feac6edde12b2dde7e6e702455abd,Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62,Exploring Models and Data for Image Question Answering,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+35c0220ab8a8281129a00ac32ef2f488fb562eb7,Part Annotations via Pairwise Correspondence,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

-35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu,

 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+35e0256b33212ddad2db548484c595334f15b4da,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,China,China,China,35.86166000,104.19539700,edu,

 35c473bae9d146072625cc3d452c8f6b84c8cc47,ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 35c473bae9d146072625cc3d452c8f6b84c8cc47,ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+35184b2891ca17a8b1e5fe45b319336d00a2a4c9,Video Person Re-Identification by Temporal Residual Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 356b431d4f7a2a0a38cf971c84568207dcdbf189,Recognize complex events from static images by fusing deep channels,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 356b431d4f7a2a0a38cf971c84568207dcdbf189,Recognize complex events from static images by fusing deep channels,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+356b431d4f7a2a0a38cf971c84568207dcdbf189,Recognize complex events from static images by fusing deep channels,China,China,China,35.86166000,104.19539700,edu,

 35502af359aa60ae8047df172e29503cfb29c3f9,Recurrent Pixel Embedding for Instance Grouping,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 35498b80ee457e409c0962e03a6e170a917c83af,Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 35498b80ee457e409c0962e03a6e170a917c83af,Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing,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,

@@ -9423,6 +11590,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 35140ebfa0b6d75fd096aed72d40b16ea6a3828b,Support Discrimination Dictionary Learning for Image Classification,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 35140ebfa0b6d75fd096aed72d40b16ea6a3828b,Support Discrimination Dictionary Learning for Image Classification,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 35140ebfa0b6d75fd096aed72d40b16ea6a3828b,Support Discrimination Dictionary Learning for Image Classification,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+354ddc8976a762ee03fb78b73adc3b5312e5f2a5,Accurate Eye Center Location through Invariant Isocentric Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3506518d616343d3083f4fe257a5ee36b376b9e1,Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 3506518d616343d3083f4fe257a5ee36b376b9e1,Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu,

 3506518d616343d3083f4fe257a5ee36b376b9e1,Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

@@ -9449,23 +11617,32 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 35ec9b8811f2d755c7ad377bdc29741b55b09356,"Efficient, Robust and Accurate Fitting of a 3D Morphable Model",University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 350da18d8f7455b0e2920bc4ac228764f8fac292,Automatic Detecting Neutral Face for Face Authentication and Facial Expression Analysis,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 35cdd4df9f039f475247bf03fdcc605e40683dce,Eye Detection and Face Recognition Using Evolutionary Computation,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

+357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,Hewlett Packard Labs,Hewlett Packard Labs,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA",37.38607840,-121.98778070,edu,

 3514f66f155c271981a734f1523572edcd8fd10e,A complementary local feature descriptor for face identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 3514f66f155c271981a734f1523572edcd8fd10e,A complementary local feature descriptor for face identification,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu,

+3535ba0cba9bf03443d52cbfc9a87090ca2e5d49,Supplementary Material : Synthesized Classifiers for Zero-Shot Learning,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 35ab5978376ea8113ff476076f18a677b4136d92,RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments,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,

 3548cb9ee54bd4c8b3421f1edd393da9038da293,(Unseen) event recognition via semantic compositionality,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 3573dd5b2982e1406f2ef6a1680149d4f9bd95d1,LearningWord Embeddings for Low-resource Languages by PU Learning,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 3573dd5b2982e1406f2ef6a1680149d4f9bd95d1,LearningWord Embeddings for Low-resource Languages by PU Learning,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 35f2541ef1b5dc2df8283143b1b98c6309ed47dd,View based approach to forensic face recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 35d181da0b939bdf3bdf579969e5fe69e277e03e,Learning Features by Watching Objects Move,"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,

+351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd,ActionSnapping: Motion-Based Video Synchronization,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,China,China,China,35.86166000,104.19539700,edu,

 3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 35f03f5cbcc21a9c36c84e858eeb15c5d6722309,Placing Broadcast News Videos in their Social Media Context Using Hashtags,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3505c9b0a9631539e34663310aefe9b05ac02727,A Joint Discriminative Generative Model for Deformable Model Construction and Classification,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,

 3505c9b0a9631539e34663310aefe9b05ac02727,A Joint Discriminative Generative Model for Deformable Model Construction and Classification,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 534ac5cd8e2503b333efcc94d92e5359b54190b1,3D FACE RECONSTRUCTION USING STEREO VISION A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY MEHMET DİKMEN IN PARTIAL FULLFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 532837c431617d37c03361ba5a7d5fdb082c55f4,Connecting Language and Vision to Actions,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 532837c431617d37c03361ba5a7d5fdb082c55f4,Connecting Language and Vision to Actions,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+533bfb82c54f261e6a2b7ed7d31a2fd679c56d18,Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 53d78c8dbac7c9be8eb148c6a9e1d672f1dd72f9,GoogleBarryManilow GoogleBillClinton GoogleBillCosby GoogleBradPitt GoogleByronScott GoogleDavidLeno GoogleGerardDepardieu GoogleJacquesChirac GoogleJeanReno GoogleJoeMontana GoogleJohnMcCain GoogleJustinTimberlake GoogleKobeBryant GoogleMarioLopez GoogleMartinShort GoogleMikeMeyers GoogleNickLachey,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 539287d8967cdeb3ef60d60157ee93e8724efcac,Learning Deep ℓ0 Encoders,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 539287d8967cdeb3ef60d60157ee93e8724efcac,Learning Deep ℓ0 Encoders,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -9478,11 +11655,17 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 53bed46ade7d09af5301a730ac147d3d25329f4e,Road Detection and Semantic Segmentation without Strong Human Supervision,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 53bed46ade7d09af5301a730ac147d3d25329f4e,Road Detection and Semantic Segmentation without Strong Human Supervision,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,

 537d8c4c53604fd419918ec90d6ef28d045311d0,Active collaborative ensemble tracking,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

+538a9230ddc14b8a5d3f5f195aac4ec43e37d16f,Joint Holistic and Partial CNN for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 53c14feecdf23c40c594c25a0075c7150fa2f9e2,Blockwise Parallel Decoding for Deep Autoregressive Models,"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,

+532c80d296a5852703a33c03824f4199e44f96a7,Fast Rigid 3D Registration Solution: A Simple Method Free of SVD and Eigen-Decomposition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu,

 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu,

 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu,

 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu,

 533d91cbb5e306c96b71b6f776382f3956e5dc7d,Faster Feature Engineering by Approximate Evaluation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 533d91cbb5e306c96b71b6f776382f3956e5dc7d,Faster Feature Engineering by Approximate Evaluation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 53ce84598052308b86ba79d873082853022aa7e9,Optimized Method for Real-Time Face Recognition System Based on PCA and Multiclass Support Vector Machine,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

@@ -9490,11 +11673,12 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 532f91d59d96d28379e09043592903d143218f4b,Cross-Domain Hallucination Network for Fine-Grained Object Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 532f91d59d96d28379e09043592903d143218f4b,Cross-Domain Hallucination Network for Fine-Grained Object Recognition,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

-539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 53698b91709112e5bb71eeeae94607db2aefc57c,Two-Stream Convolutional Networks for Action Recognition in Videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 533d14e539ae5cdca0ece392487a2b19106d468a,Bidirectional Multirate Reconstruction for Temporal Modeling in Videos,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4,Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis,Binghamton University,Binghamton University,"Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA",42.09580770,-75.91455689,edu,

+53facd4da5f1d1f98f876211421957f5fbe8a29a,The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 532c089b43983935e1001c5e35aa35440263beaf,G-Distillation: Reducing Overconfident Errors on Novel Samples,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 532f7ec8e0c8f7331417dd4a45dc2e8930874066,Semi-supervised dimensionality reduction on data with multiple representations for label propagation on facial images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 53509b593487ff4b5ce05339b60184b122884452,In Teacher We Trust : Deep Network Compression for Pedestrian 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,

@@ -9503,10 +11687,14 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 53509b593487ff4b5ce05339b60184b122884452,In Teacher We Trust : Deep Network Compression for Pedestrian 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,

 53d0227c40b354cc438c035951da801c9dcd87b7,Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 53d0227c40b354cc438c035951da801c9dcd87b7,Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

+53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 532913844a98cccd780207b78a3e2d642783595d,Face recognition with occlusions in the training and testing sets,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 534f41985a7350261a03b8c0dc54e218115dc4a5,A Hierarchical Model of Shape and Appearance for Human Action Classification,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 534f41985a7350261a03b8c0dc54e218115dc4a5,A Hierarchical Model of Shape and Appearance for Human Action Classification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+536d1f74c6543afcf2bc711befd82ac7886d1c33,Fusing Shearlets and LBP Feature Sets for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 536b5739c2162301bff19730a65bfbe8b86179b6,Posebits for Monocular Human Pose Estimation,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,University of Iceland,University of Iceland,"Háskóli Íslands, Sturlugata, Háskóli, Reykjavík, Reykjavíkurborg, Höfuðborgarsvæðið, 121, Ísland",64.13727400,-21.94561454,edu,

 533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 5375149a74361b51d734613be5d2ccba0c6b6955,Boundary-Seeking Generative Adversarial Networks,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

@@ -9515,6 +11703,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 538c6000369594084b122c37b3219ad15b58cb37,Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 5397c34a5e396658fa57e3ca0065a2878c3cced7,Lighting normalization with generic intrinsic illumination subspace for face recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 53d3738e867cae5f19f2bd9bb96d0d06eb0362b0,Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

+53d3738e867cae5f19f2bd9bb96d0d06eb0362b0,Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition,China,China,China,35.86166000,104.19539700,edu,

 532804f37d77b91052dc2a4d75a2b756d6754d11,Transductive Unbiased Embedding for Zero-Shot Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 532804f37d77b91052dc2a4d75a2b756d6754d11,Transductive Unbiased Embedding for Zero-Shot Learning,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 532804f37d77b91052dc2a4d75a2b756d6754d11,Transductive Unbiased Embedding for Zero-Shot Learning,"Alibaba Group, Hangzhou, China","Alibaba Group, Hangzhou, China","Alibaba Group, 五常街道, 余杭区 (Yuhang), 杭州市 Hangzhou, 浙江省, 中国",30.28106540,120.02139087,edu,

@@ -9522,15 +11711,18 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 5369b021f2abf5daa77fa5602569bb3b8bb18546,GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 535ed3850e79ccd51922601546ef0fc48c5fb468,A feature embedding strategy for high-level CNN representations from multiple convnets,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

 535ed3850e79ccd51922601546ef0fc48c5fb468,A feature embedding strategy for high-level CNN representations from multiple convnets,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+535ed3850e79ccd51922601546ef0fc48c5fb468,A feature embedding strategy for high-level CNN representations from multiple convnets,China,China,China,35.86166000,104.19539700,edu,

 536b1db1b1db8d4cfef813575304421ebe8332f7,A Procrustean Markov Process for Non-rigid Structure Recovery,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+896e2776174dcb86d311789ab83a266151d0595b,A Novel Performance Evaluation Methodology for Single-Target Trackers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 89887e95169efb35726cbeecf6a252de6fbcac3b,GroupCap : Group-based Image Captioning with Structured Relevance and Diversity Constraints,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 89887e95169efb35726cbeecf6a252de6fbcac3b,GroupCap : Group-based Image Captioning with Structured Relevance and Diversity Constraints,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+89887e95169efb35726cbeecf6a252de6fbcac3b,GroupCap : Group-based Image Captioning with Structured Relevance and Diversity Constraints,China,China,China,35.86166000,104.19539700,edu,

 89f73328e509e3ab2df01481cf55cb53050f6343,Cortical Surface Thickness as a Classifier: Boosting for Autism Classification,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 89f73328e509e3ab2df01481cf55cb53050f6343,Cortical Surface Thickness as a Classifier: Boosting for Autism Classification,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu,

 89f4bcbfeb29966ab969682eae235066a89fc151,A comparison of photometric normalisation algorithms for face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 89dcf3d6f42f1a2fcdb0c81982ac1ea9e4ce2339,Convolutional Neural Networks for Detecting and Mapping Crowds in First Person Vision Applications,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 893292315f5ecc73e84c5585900c53072de38550,Uncertainty Flow Facilitates Zero-Shot Multi-Label Learning in Affective Facial Analysis,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

-89f9fcc6b6bbc3c8c13f37d602d42a5c7196bcdd,Video Captioning via Hierarchical Reinforcement Learning,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+89f9fcc6b6bbc3c8c13f37d602d42a5c7196bcdd,Video Captioning via Hierarchical Reinforcement Learning,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 89e7d23e0c6a1d636f2da68aaef58efee36b718b,Lucas-Kanade Scale Invariant Feature Transform for Uncontrolled Viewpoint Face Recognition,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 898ef892b4cb9c206afc2daae04eacb1a7c7f956,Dump Truck Recognition Based on SCPSR in Videos,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 891d435fd1a070bb66225abfd62b2e2c5350e87c,Selective Feature Generation Method for Classification of Low-dimensional Data,Dankook University,Dankook University,"단국대학교 치과병원, 죽전로, 죽전동, 수지구, 용인시, 경기, 16900, 대한민국",37.32195750,127.12507230,edu,

@@ -9542,6 +11734,10 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 891ecd15c285aeb7286762b8a02e9897cd9df5a1,Driving recorder based on-road pedestrian tracking using visual SLAM and Constrained Multiple-Kernel,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 891ecd15c285aeb7286762b8a02e9897cd9df5a1,Driving recorder based on-road pedestrian tracking using visual SLAM and Constrained Multiple-Kernel,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 89b4111f14cdf342188f96d3962581fd0afa042f,A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

+89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu,

+89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu,

+89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu,

+89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu,

 89cabb60aa369486a1ebe586dbe09e3557615ef8,Bayesian Networks as Generative Models for Face Recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 8986585975c0090e9ad97bec2ba6c4b437419dae,Unsupervised Hard Example Mining from Videos for Improved Object Detection,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 89884c2b045cfa10ee0bb0795ee75195d4b37ace,Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

@@ -9552,17 +11748,22 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on
 891433740bf6d318782c468638722aebf8bef2f5,Multi-Frame Video Super-Resolution Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 891433740bf6d318782c468638722aebf8bef2f5,Multi-Frame Video Super-Resolution Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 892db59add66fc581ae1a7338ff8bd6b7aa0f2b4,FPGA-BASED NORMALIZATION FOR MODIFIED GRAM-SCHMIDT ORTHOGONALIZATION,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu,

+89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8916cbd3eb66475182a177ade018ed8a3eed26b7,Fashion apparel detection: The role of deep convolutional neural network and pose-dependent priors,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 8981be3a69cd522b4e57e9914bf19f034d4b530c,Fast Automatic Video Retrieval using Web Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 8973910c8acfd296922d9691a533b3c5061ec815,Material for Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 89dbfb9b75d3902748d73bfb5965e7d11e83c10e,Learning Discriminative Appearance-Based Models Using Partial Least Squares,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 895414849dd5e953feb6801b8d3aa7fa005b1f8b,Semi-Supervised Learning for Face Sketch Synthesis in the Wild,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 89002a64e96a82486220b1d5c3f060654b24ef2a,PIEFA: Personalized Incremental and Ensemble Face Alignment,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,

+894fa98257c0b9a1cb0388ecf56f3bcaa85dd3ff,Cognitive Effects of Mindfulness Training: Results of a Pilot Study Based on a Theory Driven Approach,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+894fa98257c0b9a1cb0388ecf56f3bcaa85dd3ff,Cognitive Effects of Mindfulness Training: Results of a Pilot Study Based on a Theory Driven Approach,Aarhus University,"Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark","Nordre Ringgade 1, 8000 Aarhus C, Denmark",56.16813840,10.20301180,edu,

 894a3ab0a3ef82352b2c294dd2bde2bd3403da8c,Recommending Outfits from Personal Closet,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 89e4f5a1eb6a97459bb748f4f7bc5c2696354aad,Semantics from Sound : Modeling Audio and Text Thesis Proposal,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 89cdedb35b487bcf07d6f53aa91463ea2de8da66,Sketch and Match: Scene Montage Using a Huge Image Collection,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 89cdedb35b487bcf07d6f53aa91463ea2de8da66,Sketch and Match: Scene Montage Using a Huge Image Collection,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 89496d72878ff71ad13d8957210f2f5bf30d637e,A Survey Of 3 D and Multi-Modal 3 D + 2 D Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+d22785eae6b7503cb16402514fd5bd9571511654,Evaluating Facial Expressions with Different Occlusion around Image Sequence,India,India,India,20.59368400,78.96288000,edu,

 d2bd59d686c6f6eeecb37b8ac0e5c296ea4f2b13,Learning and Fusing Multimodal Features from and for Multi-task Facial Computing,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu,

 d29279725abfae6bffb81e59296443f3d5f7a689,Post Processing Pedestrian Detection with Background Cues,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 d291569f332a216e2a12238a117d747b0f4ba880,Semantic Part Segmentation with Deep Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -9571,6 +11772,7 @@ d2d5d61dfdae1c6492d15eae5f0f37f460ba4030,Non-rigid object tracking in video sequ
 d2d5d61dfdae1c6492d15eae5f0f37f460ba4030,Non-rigid object tracking in video sequences PhD Thesis Proposal,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 d2044b92486248f87bafe937779cd2167efe170c,"Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals",University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 d2044b92486248f87bafe937779cd2167efe170c,"Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291,Facial surface reconstruction in 3 D format,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 d23ec100432d860b12308941f8539af82a28843f,Adversarial Semantic Scene Completion from a Single Depth Image,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 d28d32af7ef9889ef9cb877345a90ea85e70f7f1,Local-Global Landmark Confidences for Face Recognition,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,

 d28d32af7ef9889ef9cb877345a90ea85e70f7f1,Local-Global Landmark Confidences for Face Recognition,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,

@@ -9583,22 +11785,34 @@ d2cd9a7f19600370bce3ea29aba97d949fe0ceb9,Separability Oriented Preprocessing for
 d2cd9a7f19600370bce3ea29aba97d949fe0ceb9,Separability Oriented Preprocessing for Illumination-Insensitive Face Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 d2796a0d1ba7ed9287a9db6f4714585b8508871f,Human Centred Object Co-Segmentation,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 d2796a0d1ba7ed9287a9db6f4714585b8508871f,Human Centred Object Co-Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu,

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu,

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu,

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu,

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu,

+d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu,

 d23bf3200adece389d6e7c866ca9105d999b23fa,Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 d23bf3200adece389d6e7c866ca9105d999b23fa,Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 d23bf3200adece389d6e7c866ca9105d999b23fa,Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

-d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb,A Restricted Visual Turing Test for Deep Scene and Event Understanding,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb,A Restricted Visual Turing Test for Deep Scene and Event Understanding,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 d20efdf05444a9d7509b85f6d5cd59359b1062f2,First Person Action Recognition,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+d20efdf05444a9d7509b85f6d5cd59359b1062f2,First Person Action Recognition,India,India,India,20.59368400,78.96288000,edu,

 d2c9f842ed2e36b14b9ea2bb2253159cf5c495ed,Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 d29eec5e047560627c16803029d2eb8a4e61da75,Feature Transfer Learning for Deep Face Recognition with Long-Tail Data,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+d252e10024a22c8274ae67dbf37aa854d75a85f2,Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces,China,China,China,35.86166000,104.19539700,edu,

+d2b0e08637266f49e9764b65e5154363b063a00d,Employing Fuzzy-Histogram Equalization to Combat Illumination Invariance in Face Recognition Systems,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

+d2f1fa5f3cc425f7d5b9f6fe6123da8bdb0724b7,A New Image Retrieval System Based on CBIR,India,India,India,20.59368400,78.96288000,edu,

 d26b443f87df76034ff0fa9c5de9779152753f0c,A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 d22f46d367295a0897a179032ae88f6f31b68228,A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 d22a8bac307e1550a9542c3d4e316496b968bf4f,Advancing large scale object retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 d26891a7769397bce150a2619ddae1636eae8263,Dynamic context for tracking behind occlusions,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,China,China,China,35.86166000,104.19539700,edu,

 d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu,

 d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,China,China,China,35.86166000,104.19539700,edu,

 d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1,Pose Invariant 3D Face Reconstruction,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1,Pose Invariant 3D Face Reconstruction,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 d2336dbae3916135bc26dd064514441ea94a8a2b,Pairwise Kernels for Human Interaction Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

@@ -9609,6 +11823,7 @@ cd468236213273b96d985dcc859f24c0a19e3077,Hopc : a Novel Similarity Metric Based
 cd468236213273b96d985dcc859f24c0a19e3077,Hopc : a Novel Similarity Metric Based on Geometric Structural Properties for Multi-modal Remote Sensing Image Matching,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

 cdb293381ff396d6e9c0f5e9578d411e759347fd,3 DR 2 N 2 : A Unified Approach for Single and Multiview 3 D Object Reconstruction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 cdc535719aa041b7bbd529eab4582619a04b706e,Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu,

 cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu,

 cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu,

@@ -9619,21 +11834,28 @@ cd323dc4b67965a4f16b5b0a55fcc1ff0396b375,Action 2 Vec : A Crossmodal Embedding A
 cd4941cbef1e27d7afdc41b48c1aff5338aacf06,MovieGraphs: Towards Understanding Human-Centric Situations from Videos,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 cd6cab9357f333ad9966abc76f830c190a1b7911,"Recognition, reorganisation, reconstruction and reinteraction for scene understanding",Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 cdf2510d1fa51e911ef8f2618d41707b0c037d3f,Face Identi cation in Multimedia Archives,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,India,India,India,20.59368400,78.96288000,edu,

+cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,India,India,India,20.59368400,78.96288000,edu,

+cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,India,India,India,20.59368400,78.96288000,edu,

 cd58d7f2672fedf71d4ac6f7fcd71621612b2d25,A Comparison of Face Detection Algorithms in Visible and Thermal Spectrums,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu,

 cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,China,China,China,35.86166000,104.19539700,edu,

 cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

+cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,China,China,China,35.86166000,104.19539700,edu,

 cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 cd0503a31a9f9040736ccfb24086dc934508cfc7,Maximizing Resource Utilization in Video Streaming Systems.,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,

 cd0503a31a9f9040736ccfb24086dc934508cfc7,Maximizing Resource Utilization in Video Streaming Systems.,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,

 cd023d2d067365c83d8e27431e83e7e66082f718,Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 cd023d2d067365c83d8e27431e83e7e66082f718,Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 cd96429d213ca1b54607a5a37a469d6c3395d9d9,A ROBUST METHOD FOR STEREO VISUAL ODOMETRY BASED ON MULTIPLE EUCLIDEAN DISTANCE CONSTRAINT AND RANSAC ALGORITHM,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+cd96429d213ca1b54607a5a37a469d6c3395d9d9,A ROBUST METHOD FOR STEREO VISUAL ODOMETRY BASED ON MULTIPLE EUCLIDEAN DISTANCE CONSTRAINT AND RANSAC ALGORITHM,China,China,China,35.86166000,104.19539700,edu,

 cd7b872365cc5b5114e0ccb833e307e874a5c3aa,Video Object Segmentation with Language Referring Expressions,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 cd7b872365cc5b5114e0ccb833e307e874a5c3aa,Video Object Segmentation with Language Referring Expressions,"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,

 cdde9cfb726e177b781dffbbb41d15cf58d7f888,A New SIFT-Based Image Descriptor Applicable for Content Based Image Retrieval,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu,

 cd23dc3227ee2a3ab0f4de1817d03ca771267aeb,Face Recognition via Deep Sparse Graph Neural Networks,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu,

 cd436f05fb4aeeda5d1085f2fe0384526571a46e,Information Bottleneck Domain Adaptation with Privileged Information for Visual Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 cd6aaa37fffd0b5c2320f386be322b8adaa1cc68,Deep Face Recognition: A Survey,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+cd490432e35ed5c5b7d80e1525e2780d7467ffb6,ESTIMATION OF LOST VALUES USING KINECT ’ S SENSOR IN AN INPAINTING TECHNIQUE,India,India,India,20.59368400,78.96288000,edu,

 cd9d654c6a4250e0cf8bcfddc2afab9e70ee6cae,Object Detection with Mask-based Feature Encoding,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 cd9d654c6a4250e0cf8bcfddc2afab9e70ee6cae,Object Detection with Mask-based Feature Encoding,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 cd2605b31feb84fb53a5a56b21499f4ebff20385,DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

@@ -9661,6 +11883,7 @@ cdb1d32bc5c1a9bb0d9a5b9c9222401eab3e9ca0,Functional Faces: Groupwise Dense Corre
 cd87fea30b68ad1c9ebcb71a224c53cde3516adb,EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 cd2221518485f829d3fad81e33ef4033ffa66f75,Multiple Images Recovery Using a Single Affine Transformation,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu,

 cd2221518485f829d3fad81e33ef4033ffa66f75,Multiple Images Recovery Using a Single Affine Transformation,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

+cd010fc089c580c87c5cff4aa6a9b1d6d41e2470,"Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns",9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 cd010fc089c580c87c5cff4aa6a9b1d6d41e2470,"Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns",University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu,

 cdc7bd87a2c9983dab728dbc8aac74d8c9ed7e66,l 1 l 2 l 3 l 4 l 5 ( a ) Class-Agnostic Temporal,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 cdeee5eed68e7c8eb06185f7fcb1a072af784886,Deep Learning for Object Saliency Detection and Image Segmentation,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

@@ -9669,8 +11892,12 @@ b29f348e8675f75ff160ec65ebeeb3f3979b65d8,An objective and subjective evaluation
 b29f348e8675f75ff160ec65ebeeb3f3979b65d8,An objective and subjective evaluation of content-based privacy protection of face images in video surveillance systems using JPEG XR,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 b239b39c08a08d9c3b1da68a7bce162b580a746e,Gaze selection in complex social scenes,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 b239b39c08a08d9c3b1da68a7bce162b580a746e,Gaze selection in complex social scenes,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

+b2b535118c5c4dfcc96f547274cdc05dde629976,Automatic Recognition of Facial Displays of Unfelt Emotions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b2e308649c7a502456a8e3c95ac7fbe6f8216e51,Recurrent Regression for Face Recognition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

+b2e308649c7a502456a8e3c95ac7fbe6f8216e51,Recurrent Regression for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8,"HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition",University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+b216040f110d2549f61e3f5a7261cab128cab361,Weighted Voting of Discriminative Regions for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+b29e60ddcabff5002c3ddec135ec94dd991d8d5a,Compressing deep convolutional neural networks in visual emotion recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 b29b42f7ab8d25d244bfc1413a8d608cbdc51855,Effective face landmark localization via single deep network,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 b234cd7788a7f7fa410653ad2bafef5de7d5ad29,Unsupervised Temporal Ensemble Alignment for Rapid Annotation,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 b234cd7788a7f7fa410653ad2bafef5de7d5ad29,Unsupervised Temporal Ensemble Alignment for Rapid Annotation,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,

@@ -9681,6 +11908,7 @@ b249f10a30907a80f2a73582f696bc35ba4db9e2,Improved graph-based SFA: Information p
 b2e5df82c55295912194ec73f0dca346f7c113f6,CUHK & SIAT Submission for THUMOS 15 Action Recognition Challenge,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 b2e5df82c55295912194ec73f0dca346f7c113f6,CUHK & SIAT Submission for THUMOS 15 Action Recognition Challenge,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 b2fde24de782d2979b946c49986cabdb12e84eba,Latent Hough Transform for Object Detection,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu,

+b2fde24de782d2979b946c49986cabdb12e84eba,Latent Hough Transform for Object Detection,Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company,

 b242124e3bf1ebfc57b5279d4d75ade924a5d1e3,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 b242124e3bf1ebfc57b5279d4d75ade924a5d1e3,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 b242124e3bf1ebfc57b5279d4d75ade924a5d1e3,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

@@ -9689,12 +11917,18 @@ b2e7b1a8bd7375a043ad4eb1c88dbc7d436d9634,Effective face recognition using bag of
 b2e7b1a8bd7375a043ad4eb1c88dbc7d436d9634,Effective face recognition using bag of features with additive kernels,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

 b27480e13c14e29c44c4370082cdeeb4d9a6d999,Using a Fuzzy Voter,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu,

 b2e6944bebab8e018f71f802607e6e9164ad3537,Mixed Error Coding for Face Recognition with Mixed Occlusions,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu,

+b2e6944bebab8e018f71f802607e6e9164ad3537,Mixed Error Coding for Face Recognition with Mixed Occlusions,China,China,China,35.86166000,104.19539700,edu,

 b272f86cc47024b1deaaa29e242ecd5138006199,Deep Drone : Object Detection and Tracking for Smart Drones on Embedded System,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 b2d4ed138816c671c3f698290557d26600377025,Image Caption Validation,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e,Learning with Ambiguous Label Distribution for Apparent Age Estimation,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e,Learning with Ambiguous Label Distribution for Apparent Age Estimation,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f,Multi-target Tracking by Rank-1 Tensor Approximation,China,China,China,35.86166000,104.19539700,edu,

 b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f,Multi-target Tracking by Rank-1 Tensor Approximation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 b29c83b6ee10857e09ac3503916ae1b129642cae,Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

-b2a0e5873c1a8f9a53a199eecae4bdf505816ecb,Hybrid VAE: Improving Deep Generative Models using Partial Observations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+b2a0e5873c1a8f9a53a199eecae4bdf505816ecb,Hybrid VAE: Improving Deep Generative Models using Partial Observations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 b2d9877443ec7da2490027ccc932468f05c7bf85,Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences,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,

 b2d9877443ec7da2490027ccc932468f05c7bf85,Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 b2c60061ad32e28eb1e20aff42e062c9160786be,Diverse and Controllable Image Captioning with Part-of-Speech Guidance,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -9709,10 +11943,14 @@ b28eb219db9370cf20063288225cc2f3e6e5f984,Fast and Accurate Head Pose Estimation
 b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a single RGB camera,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu,

 0e08cf0b19f0600dadce0f6694420d643ea9828b,The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 0e08cf0b19f0600dadce0f6694420d643ea9828b,The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

+0e815b773e480ef20a680dd35cd72ab26a141d2f,Person re-identification via efficient inference in fully connected CRF,China,China,China,35.86166000,104.19539700,edu,

+0e815b773e480ef20a680dd35cd72ab26a141d2f,Person re-identification via efficient inference in fully connected CRF,China,China,China,35.86166000,104.19539700,edu,

 0e986ac9484e0587b6ccf01a5db735b9bf185157,Refining Architectures of Deep Convolutional Neural Networks,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+0e986ac9484e0587b6ccf01a5db735b9bf185157,Refining Architectures of Deep Convolutional Neural Networks,"Microsoft Research Cambridge, UK","Microsoft Research Cambridge, UK","21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,edu,

 0e46943b2b12a8df6a62202651555a1d464cebec,Person Re-identification by Efficient Impostor-Based Metric Learning,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

-0e96646eb97bade66848b1fe50a9fc6ab946ed42,Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+0e96646eb97bade66848b1fe50a9fc6ab946ed42,Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 0e652a99761d2664f28f8931fee5b1d6b78c2a82,Making a Science of Model Search,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+0e36bf238d2db6c970ade0b5f68811ed6debc4e8,Recognizing Partial Biometric Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0e41bb49b2b3b1fc4fadce856f164af51549bcb4,Max-Margin Structured Output Regression for Spatio-Temporal Action Localization,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 0e8defaafbbde9031fb2942eccaf980b2f20f04e,Regenerative morphing,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 0e8defaafbbde9031fb2942eccaf980b2f20f04e,Regenerative morphing,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

@@ -9722,23 +11960,29 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a
 0e1403f2182609fb64ed72913f7294fea7d02bd6,Learning Support Vectors for Face Verification and Recognition,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 0e9f55c0ff758a91c6764f833b14b09ca788db20,Locality preserving hashing,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 0e5d673111e398f6c083623e31c2f498f0bf7b5f,Resolving References to Objects in Photographs using the Words-As-Classifiers Model,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

+0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu,

 0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 0e1f6abdd24a4e929511740168e2f67351751302,Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 0e1f6abdd24a4e929511740168e2f67351751302,Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 0e62b741d4421b284cc6a27cea0b1e95b799882e,Forest Walk Methods for Localizing Body Joints from Single Depth Image,Hankuk University of Foreign Studies,Hankuk University of Foreign Studies,"외대앞, 휘경로, 이문동, 이문2동, 동대문구, 서울특별시, 02407, 대한민국",37.59539790,127.06304990,edu,

 0e62b741d4421b284cc6a27cea0b1e95b799882e,Forest Walk Methods for Localizing Body Joints from Single Depth Image,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu,

+0ebd83e838dcd5827329c65d1ccc260e7aa7b5fe,Sufficient Dimensionality Reduction with Irrelevant Statistics,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu,

 0e2af97f07625cb3cf5e30f1c9d807124cbbc850,From Large Scale Image Categorization to Entry-Level Categories,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

+0ee737085af468f264f57f052ea9b9b1f58d7222,SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0ef0db6b7bf2244459497a3bf24e56c7850cf369,Weakly Supervised Phrase Localization with Multi-Scale Anchored Transformer Network,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0e9ea74cf7106057efdb63f275ca6bb838168b0c,Progressive Principal Component Analysis,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+0e9ea74cf7106057efdb63f275ca6bb838168b0c,Progressive Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu,

 0e9ea74cf7106057efdb63f275ca6bb838168b0c,Progressive Principal Component Analysis,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 0ee3aa2a78f9680bb65a823bd9195c879572ec1c,What Makes an Object Memorable?,"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,

 0ee3aa2a78f9680bb65a823bd9195c879572ec1c,What Makes an Object Memorable?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 0ee3aa2a78f9680bb65a823bd9195c879572ec1c,What Makes an Object Memorable?,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

-0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

-0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech Carilion Research Institute,Virginia Tech Carilion Research Institute,"Virginia Tech Carilion Research Institute, South Jefferson Street, Crystal Spring, Roanoke, Virginia, 24016, USA",37.25795480,-79.94233291,edu,

-0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0e25527a7df08c8cda5e86c7a255806289b0ff64,Automatic Eye Detection using Fast Corner Detector of North East Indian ( NEI ) Face Images,India,India,India,20.59368400,78.96288000,edu,

 0e25527a7df08c8cda5e86c7a255806289b0ff64,Automatic Eye Detection using Fast Corner Detector of North East Indian ( NEI ) Face Images,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

 0e8f56d7e0b639e182d1d9693b79653cfd98aaa3,Auto-colorization Exploiting Annotated Dataset,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 0e312aee6b03a697d112a1bd8d25d84d1a122d8e,An inner-loop free solution to inverse problems using deep neural networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -9746,13 +11990,24 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a
 0e312aee6b03a697d112a1bd8d25d84d1a122d8e,An inner-loop free solution to inverse problems using deep neural networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 0e312aee6b03a697d112a1bd8d25d84d1a122d8e,An inner-loop free solution to inverse problems using deep neural networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu,

+0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu,

+0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu,

+0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu,

+0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu,

 0ea38a5ba0c8739d1196da5d20efb13406bb6550,Relative attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 0e73d2b0f943cf8559da7f5002414ccc26bc77cd,Similarity Comparisons for Interactive Fine-Grained Categorization,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+0e73d2b0f943cf8559da7f5002414ccc26bc77cd,Similarity Comparisons for Interactive Fine-Grained Categorization,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 0e73d2b0f943cf8559da7f5002414ccc26bc77cd,Similarity Comparisons for Interactive Fine-Grained Categorization,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 0e64a202a673ebb9265d600d97c2ccff8acf64c9,Side-View Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7,Dual CNN Models for Unsupervised Monocular Depth Estimation,India,India,India,20.59368400,78.96288000,edu,

 0ee5c4112208995bf2bb0fb8a87efba933a94579,Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 0e41758075d91e58412f012c2d03531c5baf7cdc,Visual category recognition using Spectral Regression and Kernel Discriminant Analysis,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 0e41758075d91e58412f012c2d03531c5baf7cdc,Visual category recognition using Spectral Regression and Kernel Discriminant Analysis,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,

+0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b,Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern Matching Algorithm for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b,Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern Matching Algorithm for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 0ec1673609256b1e457f41ede5f21f05de0c054f,Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 0ea7b7fff090c707684fd4dc13e0a8f39b300a97,Integrated Face Analytics Networks through Cross-Dataset Hybrid Training,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0ea7b7fff090c707684fd4dc13e0a8f39b300a97,Integrated Face Analytics Networks through Cross-Dataset Hybrid Training,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -9761,13 +12016,19 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a
 0e0fbead3da9e16b03894b63efc6816fa3ef6d0e,Open-vocabulary Phrase Detection,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 0e2e4b2deee91884d6da21c06e609b1f61270f70,How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu,

 0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595,Robust Optical Flow Computation Under Varying Illumination Using Rank Transform,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

+0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595,Robust Optical Flow Computation Under Varying Illumination Using Rank Transform,China,China,China,35.86166000,104.19539700,edu,

+0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595,Robust Optical Flow Computation Under Varying Illumination Using Rank Transform,China,China,China,35.86166000,104.19539700,edu,

+0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,India,India,India,20.59368400,78.96288000,edu,

+0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,India,India,India,20.59368400,78.96288000,edu,

 0e0179eb4b43016691f0f1473a08089dda21f8f0,The Art of Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 0e7d8ae484d8a0ecf65855dad9e7514730b4e07f,Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+0e7d8ae484d8a0ecf65855dad9e7514730b4e07f,Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 0e7d8ae484d8a0ecf65855dad9e7514730b4e07f,Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 0ec67c69e0975cfcbd8ba787cc0889aec4cc5399,Locating Salient Object Features,Manchester University,Manchester University,"Manchester Metropolitan University – All Saints Campus, Lower Ormond Street, Hulme, Manchester, Greater Manchester, North West England, England, M15 6BX, UK",53.47020165,-2.23932183,edu,

 0ebc50b6e4b01eb5eba5279ce547c838890b1418,Similarity-Preserving Binary Signature for Linear Subspaces,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 0ebc50b6e4b01eb5eba5279ce547c838890b1418,Similarity-Preserving Binary Signature for Linear Subspaces,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0ebc50b6e4b01eb5eba5279ce547c838890b1418,Similarity-Preserving Binary Signature for Linear Subspaces,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

+0ec0b35b95f1770887844687f0718924066b1f85,Adaptive Image Denoising by Targeted Databases,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0e950d7ad2282d49e8cada91d5d6b50b42a23979,Attribute Recognition by Joint Recurrent Learning of Context and Correlation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 0ee7990e2ae054aab5f1fc08670fe5eddb96fb19,Temporal attention filters for human activity recognition in videos,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 0ec03a13063e5811ec9461cf7af04f4f3110ccaa,Visual Question Answering with Question Representation Update (QRU),Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -9782,26 +12043,34 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a
 0ee7883f778076c6d8a14a115114a3d9ef830fc1,Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 0ee7883f778076c6d8a14a115114a3d9ef830fc1,Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 0eea197144b631b33857821559886b6ea063b68c,Robust Multi-resolution Pedestrian Detection in Traffic Scenes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+0e21c9e5755c3dab6d8079d738d1188b03128a31,Constrained Clustering and Its Application to Face Clustering in Videos,China,China,China,35.86166000,104.19539700,edu,

 0e21c9e5755c3dab6d8079d738d1188b03128a31,Constrained Clustering and Its Application to Face Clustering in Videos,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

+0e95f68171b27621a39e393afb7c74ef1506fe85,CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS,India,India,India,20.59368400,78.96288000,edu,

+0e95f68171b27621a39e393afb7c74ef1506fe85,CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS,India,India,India,20.59368400,78.96288000,edu,

 0e1a18576a7d3b40fe961ef42885101f4e2630f8,Automated Detection and Identification of Persons in Video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 0e1983e9d0e8cb4cbffef7af06f6bc8e3f191a64,Estimating illumination parameters in real space with application to image relighting,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+0ee661a1b6bbfadb5a482ec643573de53a9adf5e,On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d,Fast Subspace Search via Grassmannian Based Hashing,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d,Fast Subspace Search via Grassmannian Based Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d,Fast Subspace Search via Grassmannian Based Hashing,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 0e923b74fd41f73f57e22f66397feeea67e834f0,Invariant encoding schemes for visual recognition,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 0ee91554aedcb2cc4e2d2a15eb07eed1bbbac2c2,Fast Energy Minimization Using Learned State Filters,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66,Cognitive Learning for Social Robot through Facial Expression from Video Input,India,India,India,20.59368400,78.96288000,edu,

 e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

+e9ae8bbfec913300eedede3ec48acb56c15ebdea,DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild,India,India,India,20.59368400,78.96288000,edu,

 e9f1cdd9ea95810efed306a338de9e0de25990a0,FEPS : An Easy-to-Learn Sensory Substitution System to Perceive Facial Expressions,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 e9f1cdd9ea95810efed306a338de9e0de25990a0,FEPS : An Easy-to-Learn Sensory Substitution System to Perceive Facial Expressions,University of Memphis,University of Memphis,"The University of Memphis, Desoto Avenue, Memphis, Shelby County, Tennessee, 38152, USA",35.11893870,-89.93721960,edu,

 e9ccd438d6d55ba0d11a63eb95c773d63b3ea4e5,Will you remember me ? Cultural differences in own-group face recognition biases ☆,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 e9bb045e702ee38e566ce46cc1312ed25cb59ea7,Integrating Geometric and Textural Features for Facial Emotion Classification Using SVM Frameworks,Indian Institute of Technology Roorkee,"Indian Institute of Technology, Roorkee","Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India",29.86624610,77.89587081,edu,

 e9bb045e702ee38e566ce46cc1312ed25cb59ea7,Integrating Geometric and Textural Features for Facial Emotion Classification Using SVM Frameworks,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+e96a3d4df7f6956ba185107747c3d7c16d1ed845,Unite the People: Closing the Loop Between 3D and 2D Human Representations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 e912481d2d885244b1c72e5d74932429394a5789,Adaptive Appearance Rendering,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 e97f4151b67e0569df7e54063d7c198c911edbdc,A New Information Fusion Method for Bimodal Robotic Emotion Recognition,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

 e9f4624cc9c2d7e1b9fa2545982e7678b9a5aaae,Dynamic-structured Semantic Propagation Network,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,

+e94804b7f2515740671a678239eccdb79a050272,Generating a Fusion Image: One's Identity and Another's Shape,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 e9dd56abd8244dc58206a5dde6a4133310c6586f,Multiclient Identification System Using Adaptive Probabilistic Model,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

 e9c008d31da38d9eef67a28d2c77cb7daec941fb,Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 e9c008d31da38d9eef67a28d2c77cb7daec941fb,Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

@@ -9810,6 +12079,7 @@ e9835bb131287d711e5e5435a5df8ce5302acb31,Person Re-identification by Unsupervise
 e984017c5849ea78e3f50e374a5539770989536d,Bilinear Discriminant Analysis for Face Recognition,École Centrale de Lyon,Laboratoire LIRIS,"40 Avenue Guy de Collongue, 69130 Écully, France",45.78359660,4.76789480,edu,

 e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028,Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu,

 e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028,Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028,Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery,China,China,China,35.86166000,104.19539700,edu,

 e9c2b7677660820019ac5fe0fff9ac3409555b63,Multi-Entity Bayesian Networks for Knowledge-Driven Analysis of ICH Content,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu,

 e9ba629fd9533131735e2305929faf0c2c46538b,Holistic and Feature-based Information Towards Dynamic Multi-expressions Recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 e90e23a757c346170df4f403d0c18bcea2874ed7,Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

@@ -9823,18 +12093,23 @@ e959a426d02dd014c1346131ac38ed50114c17b7,A Focused Dynamic Attention Model for V
 e981661e6dd43e23cd5e046aaf66aebce4bc0318,DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density 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,

 e94dfdc5581f6bc0338e21ad555b5f1734f8697e,Learning to Anonymize Faces for Privacy Preserving Action Detection,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 e996da9beadff6f6694540c6b1794312f814dbae,Age and gender classification from ear images,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

+e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,India,India,India,20.59368400,78.96288000,edu,

+e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,India,India,India,20.59368400,78.96288000,edu,

 e90a925fea8456718527a73a3621fba9b848de28,D Eep L Earning with S Ets and P Oint C Louds,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,

-e985e7ec130ce4552222d7fb4b2d2f923fd2a501,Orthogonal and Idempotent Transformations for Learning Deep Neural Networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+e985e7ec130ce4552222d7fb4b2d2f923fd2a501,Orthogonal and Idempotent Transformations for Learning Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 e985e7ec130ce4552222d7fb4b2d2f923fd2a501,Orthogonal and Idempotent Transformations for Learning Deep Neural Networks,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 e9a8a88b47d0bc20579f39eba1c380b07edc244f,Effects of the Facial and Racial Features on Gender Classification,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 e9bbe558c73de60e40ce2bd8c7cb7a47dacfe594,Can White children grow up to be Black? Children's reasoning about the stability of emotion and race.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 e9bbe558c73de60e40ce2bd8c7cb7a47dacfe594,Can White children grow up to be Black? Children's reasoning about the stability of emotion and race.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 e9e40e588f8e6510fa5537e0c9e083ceed5d07ad,Fast Face Detection Using Graphics Processor,"National Institute of Technology, Karnataka",National Institute of Technology Karnataka,"National Institute of Technology, Karnataka, NH66, ದಕ್ಷಿಣ ಕನ್ನಡ, Mangaluru taluk, Dakshina Kannada, Karnataka, 575025, India",13.01119095,74.79498825,edu,

+e9e40e588f8e6510fa5537e0c9e083ceed5d07ad,Fast Face Detection Using Graphics Processor,India,India,India,20.59368400,78.96288000,edu,

 e93a65ff1c7c29736cef5701f079f75ecfb76f5f,From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category.,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,

 e9a5a38e7da3f0aa5d21499149536199f2e0e1f7,A Bayesian Scene-Prior-Based Deep Network Model for Face Verification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 e9a5a38e7da3f0aa5d21499149536199f2e0e1f7,A Bayesian Scene-Prior-Based Deep Network Model for Face Verification,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu,

 e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 5418242dafa134e6021a30ecc8c566ac83823b56,Disentangled Person Image Generation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 54171243dfae9d7343c78026c9b94004df3853bb,"ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification",Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

@@ -9843,8 +12118,12 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 541d69fdf97e5ded611ad0dd46f62bb9d2e19a51,Exemplar Driven Character Recognition in the Wild,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,

 541d69fdf97e5ded611ad0dd46f62bb9d2e19a51,Exemplar Driven Character Recognition in the Wild,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,

 54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

+54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 545388d4a8e79cab605cea9b3e1ff1da0f848f8e,Fast Online Upper Body Pose Estimation from Video,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

+545388d4a8e79cab605cea9b3e1ff1da0f848f8e,Fast Online Upper Body Pose Estimation from Video,China,China,China,35.86166000,104.19539700,edu,

+545388d4a8e79cab605cea9b3e1ff1da0f848f8e,Fast Online Upper Body Pose Estimation from Video,China,China,China,35.86166000,104.19539700,edu,

 544c06584c95bfdcafbd62e04fb796e575981476,Human Identification from Body Shape,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 545600c4926bdb5ac348c3a733db7776392906c8,"Subset Modelling of Face Localization Error , Occlusion , and Expression",Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 54abfe3acd987b5041878c29ec74204a11e73ad1,Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

@@ -9852,12 +12131,14 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 54abfe3acd987b5041878c29ec74204a11e73ad1,Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 5495e224ac7b45b9edc5cfeabbb754d8a40a879b,Feature Reconstruction Disentangling for Pose-invariant Face Recognition Supplementary Material,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 543d276a665d11a74f925198ee7c37a6e52b0298,Immediate Structured Visual Search for Medical Images,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

-543d276a665d11a74f925198ee7c37a6e52b0298,Immediate Structured Visual Search for Medical Images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+543d276a665d11a74f925198ee7c37a6e52b0298,Immediate Structured Visual Search for Medical Images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 545dc167a4879ce2d61836cb300479c305f8e096,Event-Centric Twitter Photo Summarization by MASSACHUSETTIS 17,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 54c28bf64debbdb21c246795182f97d4f7917b74,STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 54b16b233e6130354e7d3f0d001cc5491f85e998,Real-time fMRI-based neurofeedback in depression,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 546cbbb897022096511f6a71259e3b99c558224d,PCA vs. ICA: A Comparison on the FERET Data Set,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 541f1436c8ffef1118a0121088584ddbfd3a0a8a,A Spatio-temporal Feature Based on Triangulation of Dense SURF,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

+54801c260df5221a9de533d371d3edcc358b4050,On Combining Classifiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+54dae5187de3898d8034719bcaa3e0100ae72d76,Probabilistic Attributed Hashing,China,China,China,35.86166000,104.19539700,edu,

 5484ad04ac0a256b51fd1a3eae48483480862ab1,A survey on ear biometrics,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 5484ad04ac0a256b51fd1a3eae48483480862ab1,A survey on ear biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 5484ad04ac0a256b51fd1a3eae48483480862ab1,A survey on ear biometrics,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

@@ -9872,10 +12153,13 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 54bb25a213944b08298e4e2de54f2ddea890954a,"AgeDB: The First Manually Collected, In-the-Wild Age Database",Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 54bb25a213944b08298e4e2de54f2ddea890954a,"AgeDB: The First Manually Collected, In-the-Wild Age Database",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,

 54ffc4c83974d5915025f80e54e350cd30ef96d7,Sparse dictionary-based representation and recognition of action attributes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3,A joint learning framework for attribute models and object descriptions,India,India,India,20.59368400,78.96288000,edu,

 54568bdce3405ffbe2a6f5820711f966e2d2faf3,How Do We Update Faces? Effects of Gaze Direction and Facial Expressions on Working Memory Updating,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 54c5fad54492650f6eccb90bafcab8c2b779ee2f,Real-time text tracking in natural scenes,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 540831094fd9b80469c8dacb9320b7e342b50e03,Emotion Recognition in Speech using Cross-Modal Transfer in the Wild,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 5489f0a7e4ac405ce99f638097897bc45fcf805e,Research on Lossless Compression Algorithms of Low Resolution Palmprint Images,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

+5489f0a7e4ac405ce99f638097897bc45fcf805e,Research on Lossless Compression Algorithms of Low Resolution Palmprint Images,China,China,China,35.86166000,104.19539700,edu,

+5489f0a7e4ac405ce99f638097897bc45fcf805e,Research on Lossless Compression Algorithms of Low Resolution Palmprint Images,China,China,China,35.86166000,104.19539700,edu,

 54948ee407b5d32da4b2eee377cc44f20c3a7e0c,Right for the Right Reason: Training Agnostic Networks,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 5417bd72d1b787ade0c485f1188189474c199f4d,MAGAN: Margin Adaptation for Generative Adversarial Networks,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,

 54a9ed950458f4b7e348fa78a718657c8d3d0e05,Learning Neural Models for End-to-End Clustering,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

@@ -9890,12 +12174,25 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 544519fa0794d41a04307973156016b6c679ffa5,Switchable Deep Network for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 544519fa0794d41a04307973156016b6c679ffa5,Switchable Deep Network for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 544519fa0794d41a04307973156016b6c679ffa5,Switchable Deep Network for Pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

-8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 8bf243817112ac0aa1348b40a065bb0b735cdb9c,Learning a Repression Network for Precise Vehicle Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+8bf243817112ac0aa1348b40a065bb0b735cdb9c,Learning a Repression Network for Precise Vehicle Search,China,China,China,35.86166000,104.19539700,edu,

+8bf57dc0dd45ed969ad9690033d44af24fd18e05,Subject-Independent Emotion Recognition from Facial Expressions using a Gabor Feature RBF Neural Classifier Trained with Virtual Samples Generated by Concurrent Self-Organizing Maps,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66,One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

 8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66,One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

 8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66,One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu,

+8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications",China,China,China,35.86166000,104.19539700,edu,

+8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications",China,China,China,35.86166000,104.19539700,edu,

+8b26744e11e5f226f187bf903b88933c5b0fcdc0,Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images,China,China,China,35.86166000,104.19539700,edu,

 8bd42c1bbeeeaf694999295e98ff04e978a3c295,Fusion of Facial Regions Using Color Information in a Forensic Scenario,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu,

 8b8458d4b06b5f681ff0248e02929b216d2f7582,Real-time object tracking and human face detection in cluttered scenes,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 8beba00174b9db3d45dd46d9cbd76f64ceec550e,Domain Randomization for Scene-Specific Car Detection and Pose 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,

@@ -9903,11 +12200,13 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 8b2064a6a535cd2b49e348560c4f9e2c3a8f4748,A Method Based on Convex Cone Model for Image-Set Classification With CNN Features,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

 8bf05e179d50def46b008147fd3cce6c582a542f,Marginalizing Corrupted Features,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 8b61fdc47b5eeae6bc0a52523f519eaeaadbc8c8,Temporal Perceptive Network for Skeleton-Based Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+8b61fdc47b5eeae6bc0a52523f519eaeaadbc8c8,Temporal Perceptive Network for Skeleton-Based Action Recognition,China,China,China,35.86166000,104.19539700,edu,

 8bf4b09d9e5667b65336d71d7d917eab5fc26fbe,Unsupervised Learning of Object Landmarks through Conditional Image Generation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 8bf4b09d9e5667b65336d71d7d917eab5fc26fbe,Unsupervised Learning of Object Landmarks through Conditional Image Generation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 8b6fded4d08bf0b7c56966b60562ee096af1f0c4,A Neural Network based Facial Expression Recognition using Fisherface,Semarang State University,Semarang State University,"Mandiri University, Jalan Tambora, RW 10, Tegalsari, Candisari, Semarang, Jawa Tengah, 50252, Indonesia",-7.00349485,110.41774949,edu,

 8b68db1af010f36f7e9d174d6ca0fcb24c1049ee,Part I : Computation of Invariant Representations in Visual Cortex and in Deep Convolutional Architectures,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu,

 8b68db1af010f36f7e9d174d6ca0fcb24c1049ee,Part I : Computation of Invariant Representations in Visual Cortex and in Deep Convolutional Architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+8b68db1af010f36f7e9d174d6ca0fcb24c1049ee,Part I : Computation of Invariant Representations in Visual Cortex and in Deep Convolutional Architectures,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,University of Calabria,"Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","Via Pietro Bucci, 87036 Arcavacata, Rende CS, Italy",39.36502160,16.22571770,edu,

 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu,

 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,University of Calabria,"Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","Via Pietro Bucci, 87036 Arcavacata, Rende CS, Italy",39.36502160,16.22571770,edu,

@@ -9917,6 +12216,8 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 8b38124ff02a9cf8ad00de5521a7f8a9fa4d7259,Real-time 3 D Face Fitting and Texture Fusion on Inthe-wild Videos,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu,

 8b266e68cc71f98ee42b04dc8f3e336c47f199cb,Learning Face Age Progression: A Pyramid Architecture of GANs,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 8b266e68cc71f98ee42b04dc8f3e336c47f199cb,Learning Face Age Progression: A Pyramid Architecture of GANs,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,India,India,India,20.59368400,78.96288000,edu,

+8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,India,India,India,20.59368400,78.96288000,edu,

 8b46df5e851e819473a726503a543a95e130e33d,The Role of Supervision and Geometry in Categorization,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 8bad9d970664d4a9874ea71de9cc7b4360ba04ab,Person Independent Facial Expression Recognition Using 3D Facial Feature Positions,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 8b001d2e366148cf66eea812f11c6cde9c88d852,CASNSC : A context-based approach for accurate pedestrian motion prediction at intersections,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -9939,9 +12240,11 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 8bbbdff11e88327816cad3c565f4ab1bb3ee20db,Automatic Semantic Face Recognition Nawaf,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 8befcd91c24038e5c26df0238d26e2311b21719a,A Joint Sequence Fusion Model for Video Question Answering and Retrieval,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 8b30259a8ab07394d4dac971f3d3bd633beac811,Representing Sets of Instances for Visual Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+8b30259a8ab07394d4dac971f3d3bd633beac811,Representing Sets of Instances for Visual Recognition,China,China,China,35.86166000,104.19539700,edu,

 8b2d224c8b69191c02dce750257c39d46b1c4a7b,A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 8b2d224c8b69191c02dce750257c39d46b1c4a7b,A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 8b9377ead9b05d0e5d86f7092ce5084841c146a4,Asking for Help with the Right Question by Predicting Human Visual Performance,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+8bf647fed40bdc9e35560021636dfb892a46720e,Learning to hash-tag videos with Tag2Vec,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu,

 8b2704a5218a6ef70e553eaf0a463bd55129b69d,Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 8b724754d7c7d7e5f98c1982b144fddb66add843,Incremental Attribute-based Zero-shot Learning,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 8bfada57140aa1aa22a575e960c2a71140083293,Can we match Ultraviolet Face Images against their Visible Counterparts ?,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

@@ -9959,16 +12262,21 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific
 8b0af7d056e7e8a5ef2bf1278fa0740771e23401,Correntropy Induced L2 Graph for Robust Subspace Clustering,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 8b0af7d056e7e8a5ef2bf1278fa0740771e23401,Correntropy Induced L2 Graph for Robust Subspace Clustering,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 8b0af7d056e7e8a5ef2bf1278fa0740771e23401,Correntropy Induced L2 Graph for Robust Subspace Clustering,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image 1,India,India,India,20.59368400,78.96288000,edu,

+b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image 1,India,India,India,20.59368400,78.96288000,edu,

+b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,China,China,China,35.86166000,104.19539700,edu,

+b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,China,China,China,35.86166000,104.19539700,edu,

+b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,China,China,China,35.86166000,104.19539700,edu,

 b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 b73ba189d0d1a3e2502716fee60c6865a7964d6e,Towards Open-Universe Image Parsing with Broad Coverage,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,

 b73ba189d0d1a3e2502716fee60c6865a7964d6e,Towards Open-Universe Image Parsing with Broad Coverage,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 b73d9e1af36aabb81353f29c40ecdcbdf731dbed,Head Pose Estimation on Top of Haar-Like Face Detection: A Study Using the Kinect Sensor,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

 b755e80ce1985fc300e1983adefc8f14830702c4,"Totally Looks Like - How Humans Compare, Compared to Machines",York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 b711d50a6c467f3db266f2199a9031f7391b184f,Deep Multi-Modal Image Correspondence Learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

-b711d50a6c467f3db266f2199a9031f7391b184f,Deep Multi-Modal Image Correspondence Learning,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+b711d50a6c467f3db266f2199a9031f7391b184f,Deep Multi-Modal Image Correspondence Learning,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 b7e701df99735efe86a51b1e0740ad06aabdd67a,Color Effect on the Face Recognition with Spatial Resolution Constraints,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 b7676adde75c6d1bcabf56c7e2f7fa484155e8a8,ChaLearn Looking at People Challenge 2014: Dataset and Results,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

-b7676adde75c6d1bcabf56c7e2f7fa484155e8a8,ChaLearn Looking at People Challenge 2014: Dataset and Results,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+b7676adde75c6d1bcabf56c7e2f7fa484155e8a8,ChaLearn Looking at People Challenge 2014: Dataset and Results,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 b7c5f885114186284c51e863b58292583047a8b4,GAdaBoost: Accelerating Adaboost Feature Selection with Genetic Algorithms,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 b7c8452ac9791563d9a739bd079b05e518b20aea,Web Video in Numbers - An Analysis of Web-Video Metadata,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 b73d82be8270db40577b002789a26e4a226df1ef,Lessons Learned in Multilingual Grounded Language Learning,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu,

@@ -9976,21 +12284,28 @@ b7bc85b4f6a186e01365dd42993029ea06909c8f,"Pedestrian Detection , Tracking and Re
 b7407b2ea67b8c82246f013f4966c4cac1507e60,Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu,

 b7407b2ea67b8c82246f013f4966c4cac1507e60,Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

 b78e611c32dc0daf762cfa93044558cdb545d857,Temporal Action Detection with Structured Segment Networks Supplementary Materials,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,India,India,India,20.59368400,78.96288000,edu,

+b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,India,India,India,20.59368400,78.96288000,edu,

 b7cff2a6fb3861f36bc779984b312ebae9f1f365,On Learning Associations of Faces and Voices,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 b750b3d8c34d4e57ecdafcd5ae8a15d7fa50bc24,Unified Solution to Nonnegative Data Factorization Problems,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 b750b3d8c34d4e57ecdafcd5ae8a15d7fa50bc24,Unified Solution to Nonnegative Data Factorization Problems,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 b7820f3d0f43c2ce613ebb6c3d16eb893c84cf89,Visual Data Synthesis via GAN for Zero-Shot Video Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+b7820f3d0f43c2ce613ebb6c3d16eb893c84cf89,Visual Data Synthesis via GAN for Zero-Shot Video Classification,China,China,China,35.86166000,104.19539700,edu,

 b7426836ca364603ccab0e533891d8ac54cf2429,A Review on Human Activity Recognition Using Vision-Based Method,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu,

 b7426836ca364603ccab0e533891d8ac54cf2429,A Review on Human Activity Recognition Using Vision-Based Method,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 b76d6bb7aef87d03b6de039f01d3dba9224834b6,Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 b75c93c70e8534553006c084ddc72de39517ded4,Learnable Pooling Regions for Image Classification,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 b75c93c70e8534553006c084ddc72de39517ded4,Learnable Pooling Regions for Image Classification,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+b730908bc1f80b711c031f3ea459e4de09a3d324,Active Orientation Models for Face Alignment In-the-Wild,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b769007cb6931464168f63ebb4571e46d8c804b7,Human Pose Estimation and Activity Classification Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 b769007cb6931464168f63ebb4571e46d8c804b7,Human Pose Estimation and Activity Classification Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 b787113305ddef424def20920b8b098c7f18bd98,Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+b787113305ddef424def20920b8b098c7f18bd98,Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub,China,China,China,35.86166000,104.19539700,edu,

 b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,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,

 b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,China,China,China,35.86166000,104.19539700,edu,

+b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,China,China,China,35.86166000,104.19539700,edu,

 b7b421be7c1dcbb8d41edb11180ba6ec87511976,A Deep Face Identification Network Enhanced by Facial Attributes Prediction,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 b7d2ed1fb47fcef9aa3822e6e90e248b64bf9d21,Zero-Shot Object Detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 b7d2ed1fb47fcef9aa3822e6e90e248b64bf9d21,Zero-Shot Object Detection,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu,

@@ -10001,7 +12316,10 @@ b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse
 b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse Graphics,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse Graphics,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse Graphics,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+b7d540cd0de72e984cdec44afa4a4d039cfd5eea,Object Tracking Benchmark,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for Mobile Devices,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

+2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 2fa1037496dbcc04b705fcc4e9ed58cdc85df46e,Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 2fa1037496dbcc04b705fcc4e9ed58cdc85df46e,Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 2fa45a5b0421578a9a0d5124678dafc689e2bf82,Fake Sentence Detection as a Training Task for Sentence Encoding,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

@@ -10009,6 +12327,7 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M
 2f0e5a4b0ef89dd2cf55a4ef65b5c78101c8bfa1,Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 2fc8905a80b284d2cc204dc38ce10d904a875be9,VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 2fd96238a7e372146cdf6c2338edc932031dd1f0,Face Aging with Contextual Generative Adversarial Nets,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+2fd96238a7e372146cdf6c2338edc932031dd1f0,Face Aging with Contextual Generative Adversarial Nets,China,China,China,35.86166000,104.19539700,edu,

 2fd96238a7e372146cdf6c2338edc932031dd1f0,Face Aging with Contextual Generative Adversarial Nets,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 2f52b6cd87e6d72a11168fef0865743dde9ea0ae,Adversarial Attacks Beyond the Image Space,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 2f52b6cd87e6d72a11168fef0865743dde9ea0ae,Adversarial Attacks Beyond the Image Space,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

@@ -10030,6 +12349,8 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M
 2ff9ffedfc59422a8c7dac418a02d1415eec92f1,Face Verification Using Boosted Cross-Image Features,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 2ff9ffedfc59422a8c7dac418a02d1415eec92f1,Face Verification Using Boosted Cross-Image Features,"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,

 2ff9ffedfc59422a8c7dac418a02d1415eec92f1,Face Verification Using Boosted Cross-Image Features,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

+2f349ec19443523bc6c1e4b15fb677b1c188e253,Finding Time Series Motifs in Disk-Resident Data,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

+2ffcd35d9b8867a42be23978079f5f24be8d3e35,Satellite based Image Processing using Data mining,India,India,India,20.59368400,78.96288000,edu,

 2f779de22265da70bdbb5762e088c25785f32d50,Mistaking a house for a face: neural correlates of misperception in healthy humans.,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 2f779de22265da70bdbb5762e088c25785f32d50,Mistaking a house for a face: neural correlates of misperception in healthy humans.,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 2fa941ed0f9546796499782e285a14cabf0186de,ClassMap: Efficient Multiclass Recognition via Embeddings,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

@@ -10042,6 +12363,9 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M
 2f04ba0f74df046b0080ca78e56898bd4847898b,Aggregate channel features for multi-view face detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 2f16baddac6af536451b3216b02d3480fc361ef4,Web-scale training for face identification,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 2f0486b7770c0a8d9cd37e0d73ea3495562511f3,Extreme Clicking for Efficient Object Annotation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,India,India,India,20.59368400,78.96288000,edu,

+2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,India,India,India,20.59368400,78.96288000,edu,

+2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,India,India,India,20.59368400,78.96288000,edu,

 2fe87224a5b8db29f72936c1cae17389e1c553ad,ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 2f2406551c693d616a840719ae1e6ea448e2f5d3,Age estimation from face images: Human vs. machine performance,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636,Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

@@ -10055,7 +12379,9 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M
 2fc43c2c3f7ad1ca7a1ce32c5a9a98432725fb9a,Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 2fc43c2c3f7ad1ca7a1ce32c5a9a98432725fb9a,Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 2fc43c2c3f7ad1ca7a1ce32c5a9a98432725fb9a,Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd,Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion,China,China,China,35.86166000,104.19539700,edu,

 2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3,Unifying Identification and Context Learning for Person Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+2fa16dc0ee50550c1bf58c410912d48cddbc3554,Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2f5e057e35a97278a9d824545d7196c301072ebf,Capturing Long-Tail Distributions of Object Subcategories,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 2f5e057e35a97278a9d824545d7196c301072ebf,Capturing Long-Tail Distributions of Object Subcategories,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 2fa2a186dfae16958bb3bc8752c57a749ccb4f41,Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

@@ -10069,17 +12395,28 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M
 aa2ddae22760249729ac2c2c4e24c8b665bcd40e,Interpretable Basis Decomposition for Visual Explanation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 aadf4b077880ae5eee5dd298ab9e79a1b0114555,Using Hankel matrices for dynamics-based facial emotion recognition and pain detection,University of Palermo,DICGIM - University of Palermo,"Edificio 8, Viale delle Scienze, 90128 Palermo PA, Italy",38.10427160,13.34723540,edu,

 aac241c0327ceec5fded6646cc5b93e150ca8b06,Crisis management using multiple camera surveillance systems,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+aaa6fe8045e1a071e1762cffe4f59e0bd508daf9,Single-Pedestrian Detection Aided by Two-Pedestrian Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 aac934f2eed758d4a27562dae4e9c5415ff4cdb7,TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 aadc142d4e216432899326c7162540955f8b5590,Middle-Out Decoding,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 aadc142d4e216432899326c7162540955f8b5590,Middle-Out Decoding,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+aa07203067566f251041f73ee087aa7dfb847509,Biometric System Using Cryptography : A Survey,India,India,India,20.59368400,78.96288000,edu,

+aa07203067566f251041f73ee087aa7dfb847509,Biometric System Using Cryptography : A Survey,India,India,India,20.59368400,78.96288000,edu,

 aa127e6b2dc0aaccfb85e93e8b557f83ebee816b,Advancing human pose and gesture recognition,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 aa127e6b2dc0aaccfb85e93e8b557f83ebee816b,Advancing human pose and gesture recognition,Wolfson College,Wolfson College,"Wolfson College, Linton Road, Norham Manor, Oxford, Oxon, South East, England, OX2 6UD, UK",51.77110760,-1.25361700,edu,

 aa8ef6ba6587c8a771ec4f91a0dd9099e96f6d52,Improved face tracking thanks to local features correspondence,University of Brescia,University of Brescia,"Brescia University, West 7th Street, Owensboro, Daviess County, Kentucky, 42303, USA",37.76893740,-87.11138590,edu,

+aae742779e8b754da7973949992d258d6ca26216,Robust facial expression classification using shape and appearance features,India,India,India,20.59368400,78.96288000,edu,

 aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,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,

 aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,University of Oulu,University 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,

 aa7e7637f3443a823ee799a560ab84103b0e9a7f,Autonomous Driving in Reality with Reinforcement Learning and Image Translation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+aa11aa50c5a3cee44d7fb39b1e2732c5699f565f,A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+aaba2a04c025f12f839ac71fb248da0dd6985d58,A COMBINED FACE RECOGNITION APPROACH BASED ON LPD AND,India,India,India,20.59368400,78.96288000,edu,

+aaba2a04c025f12f839ac71fb248da0dd6985d58,A COMBINED FACE RECOGNITION APPROACH BASED ON LPD AND,India,India,India,20.59368400,78.96288000,edu,

+aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 aaeb8b634bb96a372b972f63ec1dc4db62e7b62a,Facial Expression Recognition System : A Digital Printing Application,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

 aaeb8b634bb96a372b972f63ec1dc4db62e7b62a,Facial Expression Recognition System : A Digital Printing Application,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

 aa299218f9b7cda78c440117f12f193c3c4a86cb,Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

@@ -10087,24 +12424,32 @@ aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny C
 aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN for Object Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN for Object Detection,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN for Object Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

+aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 aaa29212a3f9e6a35f78600231a690b4a3c83fd5,Distributional Learning of Appearance,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 aacd2fefca976b963701669a77808fde973c1d02,Landmark classification in large-scale image collections,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 aa4d1ad6fd2dbc05139b8121b500c2b1f6b35bec,Grassmann Registration Manifolds for Face Recognition,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 aa54d0ac723c1a45e31df69433a72f6dc711706a,Robust 3D Face Recognition Using Learned Visual Codebook,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+aae0e417bbfba701a1183d3d92cc7ad550ee59c3,A Statistical Method for 2-D Facial Landmarking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 aa4928142b99224e96536d402ef8869b8391cf79,Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 aa4928142b99224e96536d402ef8869b8391cf79,Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 aa47114dd92bc6f2c01f579211ed006a7cb7d650,Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 aa3c9de34ef140ec812be85bb8844922c35eba47,Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+aaaefba1bd0a9a9ec6c66a822d11fb907a05625c,"On Detection, Data Association and Segmentation for Multi-target Tracking.",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 aabe235a028a4d533053d78034f85bea39690d4f,Active Learning with Cross-Class Similarity Transfer,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 aabe235a028a4d533053d78034f85bea39690d4f,Active Learning with Cross-Class Similarity Transfer,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 aa4b5494886b9322f3ee6e2d8b7c5550c26a7c5a,Robust realtime feature detection in raw 3D face images,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 aaf4d938f2e66d158d5e635a9c1d279cdc7639c0,Toward visual understanding of everyday object,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6,Object Detection in Multi-view X-Ray Images,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to Reduce the Effects of Changes of Illumination in Face Recognition-based Authentication,Howard University,Howard University,"Howard University, College Street Northwest, Howard University, Washington, D.C., 20001, USA",38.92152500,-77.01953566,edu,

 aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to Reduce the Effects of Changes of Illumination in Face Recognition-based Authentication,Howard University,Howard University,"Howard University, College Street Northwest, Howard University, Washington, D.C., 20001, USA",38.92152500,-77.01953566,edu,

+741b0ce40cc18449f350792af777cc54c390eda1,Comparative Study of Principal Component Analysis and Independent Component Analysis,India,India,India,20.59368400,78.96288000,edu,

 742d5b4590284b632ca043a16507fb5a459dceb2,Feature Agglomeration Networks for Single Stage Face Detection,Singapore Management University,Singapore Management University,"Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore",1.29500195,103.84909214,edu,

 742d5b4590284b632ca043a16507fb5a459dceb2,Feature Agglomeration Networks for Single Stage Face Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+742d5b4590284b632ca043a16507fb5a459dceb2,Feature Agglomeration Networks for Single Stage Face Detection,China,China,China,35.86166000,104.19539700,edu,

 74f17647637fe068e237d8d5a8cc37e081ec03d0,Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 74f17647637fe068e237d8d5a8cc37e081ec03d0,Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+74f17647637fe068e237d8d5a8cc37e081ec03d0,Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors,China,China,China,35.86166000,104.19539700,edu,

 74ba4ba7a2c97826690b9d45edcc82532d1039bc,Gait Gate: An Online Walk-Through Multimodal Biometric Verification System Using a Single RGB-D Sensor,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 74ba4ba7a2c97826690b9d45edcc82532d1039bc,Gait Gate: An Online Walk-Through Multimodal Biometric Verification System Using a Single RGB-D Sensor,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu,

 748e72af01ba4ee742df65e9c030cacec88ce506,Discriminative Regions Selection for Facial Expression Recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

@@ -10114,6 +12459,9 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 7481b7d5272326f4e9efcd49d31c7f42adb8ec4b,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 7481b7d5272326f4e9efcd49d31c7f42adb8ec4b,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 749ebfa344b6d27de898d619cea0b28ad3894ff2,Predicting Biometric Authentication System Performance Across Different Application Conditions: A Bootstrap Enhanced Parametric Approach,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+74325f3d9aea3a810fe4eab8863d1a48c099de11,Regression-Based Image Alignment for General Object Categories,Carnegie Mellon University (CMU),Carnegie Mellon University (CMU),"4400 Fifth Ave, Pittsburgh, PA 15213, USA",40.44615040,-79.95104550,edu,

+74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu,

+74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu,

 74ce7e5e677a4925489897665c152a352c49d0a2,SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting,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,

 74cefa1d796c84dc4343fdf383f15ca1e8ebb6ba,Low Resolution Camera for Human Detection and Tracking,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 7492c611b1df6bce895bee6ba33737e7fc7f60a6,The 3D Menpo Facial Landmark Tracking Challenge,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,

@@ -10123,17 +12471,21 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 74e1efe5e3564c4c6a9aebcb18103e941e31e335,High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization,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,

 74113bb67eef4cfa28ebfa8bd38a614c82bdfdea,Neural responses to facial expressions support the role of the amygdala in processing threat.,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 74113bb67eef4cfa28ebfa8bd38a614c82bdfdea,Neural responses to facial expressions support the role of the amygdala in processing threat.,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+74583979ead9acd670e524c8afa5ccd67f5ca94b,Automatic Human Face Recognition Using Multivariate Gaussian Model and Fisher Linear Discriminative Analysis,India,India,India,20.59368400,78.96288000,edu,

 74583979ead9acd670e524c8afa5ccd67f5ca94b,Automatic Human Face Recognition Using Multivariate Gaussian Model and Fisher Linear Discriminative Analysis,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 74b9d1e80d3df707963fad57c50d7c25936da535,Reward Learning from Narrated Demonstrations,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,

 741e2682b45a3dccab341cf272312a3c75c4b49a,A Diverse Dataset for Pedestrian Detection,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 741e2682b45a3dccab341cf272312a3c75c4b49a,A Diverse Dataset for Pedestrian Detection,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 744cc8c69255cbe9d992315e456b9efb06f42e20,Person Re-Identification by Deep Joint Learning of Multi-Loss Classification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+7405ed035d1a4b9787b78e5566340a98fe4b63a0,Self-Expressive Decompositions for Matrix Approximation and Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 747fdee12e633addeae3b74c12643cbac2c925ec,Deep Differential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 747fdee12e633addeae3b74c12643cbac2c925ec,Deep Differential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 747fdee12e633addeae3b74c12643cbac2c925ec,Deep Differential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 744b794f0047b008c517752fc9bb1100e5f120cc,Multiple-exemplar discriminant analysis for face recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 74cce11cfd25618b0fee0bcceb2f23376121a1f6,Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 74cce11cfd25618b0fee0bcceb2f23376121a1f6,Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0,Egocentric Video Description based on Temporally-Linked Sequences,"Universitat de Barcelona, Barcelona, Spain","Universitat de Barcelona, Barcelona, Spain","Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain",41.38660800,2.16402000,edu,

+74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0,Egocentric Video Description based on Temporally-Linked Sequences,"Computer Vision Center, Bellaterra, Spain","Computer Vision Center, Bellaterra, Spain","Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain",41.50089570,2.11155300,edu,

 744089e18ef246785cdec2875d2b3872ef1d71b6,Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 740f968be0becd9f16896cccce0e45a69e605146,View Independent Video-Based Face Recognition Using Posterior Probability in Kernel Fisher Discriminant Space,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 74fcbd059e6749ee5073b7323d121132799f97a1,Gait-Assisted Person Re-identification in Wide Area Surveillance,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

@@ -10144,6 +12496,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 74875368649f52f74bfc4355689b85a724c3db47,Object detection by labeling superpixels,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 74de03923a069ffc0fb79e492ee447299401001f,On film character retrieval in feature-length films,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 74de03923a069ffc0fb79e492ee447299401001f,On film character retrieval in feature-length films,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+744108530678ee667b9c1220933bed074794d9e2,A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading,China,China,China,35.86166000,104.19539700,edu,

 743c7e1aef6461d6582cf8deeb5d518e45215f89,Looking you in the mouth: abnormal gaze in autism resulting from impaired top-down modulation of visual attention.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 743c7e1aef6461d6582cf8deeb5d518e45215f89,Looking you in the mouth: abnormal gaze in autism resulting from impaired top-down modulation of visual attention.,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,

 7489990ea3d6ab4c1c86c9ed9f049399961dfaef,CUTS WITH SOFT MUST-LINK CONSTRAINTS FOR IMAGE SEGMENTATION AND CLUSTERING,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

@@ -10154,14 +12507,18 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 02ddda27cef81c363ffffc4edfdfbd1dea14149e,Predicting People's 3D Poses from Short Sequences,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 0235b2d2ae306b7755483ac4f564044f46387648,Recognition of Facial Attributes Using Adaptive Sparse Representations of Random Patches,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 02607f5d3c7638d0207279d96f39d435f102bf4d,Assignment 4 : Reading Comprehension,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+02567fd428a675ca91a0c6786f47f3e35881bcbd,Deep Label Distribution Learning With Label Ambiguity,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0209389b8369aaa2a08830ac3b2036d4901ba1f1,DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild,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,

 0209389b8369aaa2a08830ac3b2036d4901ba1f1,DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b,Fast Online Object Tracking and Segmentation: A Unifying Approach,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b,Fast Online Object Tracking and Segmentation: A Unifying Approach,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 025ceb084150433087cd9d3e6725ac439115e526,Controlling explanatory heatmap resolution and semantics via decomposition depth,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

+025ceb084150433087cd9d3e6725ac439115e526,Controlling explanatory heatmap resolution and semantics via decomposition depth,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0291b43490e02303c9414f03980e606950ec7261,Pose-conditioned joint angle limits for 3D human pose reconstruction,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 02c3432b5d97b4ed7b8522c1fc4388bd4eda8e67,Using context to improve cascaded pedestrian detection,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 026b5b8062e5a8d86c541cfa976f8eee97b30ab8,MDLFace: Memorability augmented deep learning for video face recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 0239d0af254c5304414db1672ea25ad2e1cdf2ee,Implicit Shape Kernel for Discriminative Learning of the Hough Transform Detector,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+029317f260b3303c20dd58e8404a665c7c5e7339,Character Identification in Feature-Length Films Using Global Face-Name Matching,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 02be981d45a8ca14e30e1cf9dfffd977f85e6ee4,Top-down saliency with Locality-constrained Contextual Sparse Coding,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 0294f992f8dfd8748703f953925f9aee14e1b2a2,Blur-Robust Face Recognition via Transformation Learning,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 0290523cabea481e3e147b84dcaab1ef7a914612,Generated Motion Maps,Tokyo Denki University,Tokyo Denki University,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

@@ -10173,6 +12530,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 02ae77f4c289426f18e83ce6e295d39538fb0fcc,Dependency Modeling for Information Fusion with Applications in Visual Recognition,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

 02b852e698dfe85df39c24e7dd39dedf484893dd,Collaborative Learning for Weakly Supervised Object Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 02e39f23e08c2cb24d188bf0ca34141f3cc72d47,Removing illumination artifacts from face images using the nuisance attribute projection,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

+02e17f547dd75eee7282af1b5ad2626829615ac9,"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,

 023be757b1769ecb0db810c95c010310d7daf00b,Face Alignment Assisted by Head Pose Estimation,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 023be757b1769ecb0db810c95c010310d7daf00b,Face Alignment Assisted by Head Pose Estimation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 023be757b1769ecb0db810c95c010310d7daf00b,Face Alignment Assisted by Head Pose Estimation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -10184,6 +12542,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 02239ae5e922075a354169f75f684cad8fdfd5ab,Commonly Uncommon: Semantic Sparsity in Situation Recognition,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 02227c94dd41fe0b439e050d377b0beb5d427cda,Reading Digits in Natural Images with Unsupervised Feature Learning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 02c44e0a7bb179be03601a7abedb006a28ad4e23,Treepedia 2.0: Applying Deep Learning for Large-Scale Quantification of Urban Tree Cover,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+02601d184d79742c7cd0c0ed80e846d95def052e,Graphical Representation for Heterogeneous Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0269312a7d49209fd9f1875e24df6a1d178fb15c,Subject centric group feature for person re-identification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 02c8de83c3bd2226a918c925400628902b6f175a,"Size matters! how thumbnail number, size, and motion influence mobile video retrieval",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,

 02c04a8b7c1232646ebc882caf3793327a510ba6,Cost-Effectiveness of Seven Approaches to Map Vegetation Communities - A Case Study from Northern Australia's Tropical Savannas,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

@@ -10198,6 +12557,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 02cc96ad997102b7c55e177ac876db3b91b4e72c,"MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 02b1a5d4b113211198e9c66d51153eb63ca680e2,Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG),University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 02b1a5d4b113211198e9c66d51153eb63ca680e2,Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG),University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+02d7f9715cdce854d727ba763c81aae5b04d3a3b,Semantic Channels for Fast Pedestrian Detection,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu,

 02ec4f6338cbf74d88e878b29ea5dd2b86a046db,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,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,

 02ec4f6338cbf74d88e878b29ea5dd2b86a046db,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,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,

 0229829e9a1eed5769a2b5eccddcaa7cd9460b92,Pooled motion features for first-person videos,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -10206,12 +12566,17 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to
 022f38febc47818a010dc64ca54f6e137055cc88,3D face texture modeling from uncalibrated frontal and profile images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 02f8c803fbf02bae0cd4ba8943fe3acccdf37402,The Bogazici face database: Standardized photographs of Turkish faces with supporting materials,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu,

 02aa54dbb461f6bde6fe8ba0591c3c5cabed7e59,Residual Attention Networks for Image Classification,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad,Subspace Learning from Image Gradient Orientations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 02e05ad42dbe99257eee1bff3e28feaa005e5924,Remembering Who Was Where: A Happy Expression Advantage for Face Identity-Location Binding in Working Memory,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

 02e05ad42dbe99257eee1bff3e28feaa005e5924,Remembering Who Was Where: A Happy Expression Advantage for Face Identity-Location Binding in Working Memory,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

 02218fcd3aece5a7bd19255d74b12f63dfa5c1a7,ShapeWorld - A new test methodology for multimodal language understanding,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 02218fcd3aece5a7bd19255d74b12f63dfa5c1a7,ShapeWorld - A new test methodology for multimodal language understanding,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+02bee6bf61566cfc3963fe42b320a740a9458920,Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+02b6acd8d1f2a5833a29b52766776fd70b3dbb56,Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+0289786e0d5edf663c586c8552ec3708eff62331,Detecting Faces in Images: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 02467703b6e087799e04e321bea3a4c354c5487d,Grouper: Optimizing Crowdsourced Face Annotations,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 02d6fb270c82c390476faffc6015b3116ddbb60c,Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+02d6fb270c82c390476faffc6015b3116ddbb60c,Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 027f769aed0cfcb3169ef60f182ce1decc0e99eb,Local Directional Pattern (LDP) for face recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu,

 02e628e99f9a1b295458cb453c09863ea1641b67,Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 ba21fd28003994480f713b0a1276160fea2e89b5,Identification of Individuals from Ears in Real World Conditions,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu,

@@ -10220,6 +12585,7 @@ ba5fcc1a691ecb0e7bc917eb1c00b5fd01701fab,Consistent Optimization for Single-Shot
 baaaf73ec28226d60d923bc639f3c7d507345635,Emotion Classification on face images,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 ba25c219b52d675b579941364ce6ee6700cea8e8,8D-THERMO CAM: Combination of Geometry with Physiological Information for Face Recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 baa1e6894024223a928aa00be698247ae253e7cb,"Patterns of eye movements when male and female observers judge female attractiveness , body fat and waist-to-hip ratio",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+baa1e6894024223a928aa00be698247ae253e7cb,"Patterns of eye movements when male and female observers judge female attractiveness , body fat and waist-to-hip ratio",Finland,Finland,Finland,61.92411000,25.74815110,edu,

 baa1e6894024223a928aa00be698247ae253e7cb,"Patterns of eye movements when male and female observers judge female attractiveness , body fat and waist-to-hip ratio",Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

 ba7890a5e9e51bf6181cc3c03144796cb3e5e254,"Query : "" A man in a red sweatshirt performing breakdance """,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 ba7890a5e9e51bf6181cc3c03144796cb3e5e254,"Query : "" A man in a red sweatshirt performing breakdance ""","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,

@@ -10233,6 +12599,8 @@ bae86526b3b0197210b64cdd95cb5aca4209c98a,"Brute-Force Facial Landmark Analysis W
 baf5ab5e8972e9366951b7e66951e05e2a4b3e36,Harmonious Attention Network for Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,China,China,China,35.86166000,104.19539700,edu,

+baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,China,China,China,35.86166000,104.19539700,edu,

 baa0fe4d0ac0c7b664d4c4dd00b318b6d4e09143,SERSC Facial Expression Analysis using Active Shape Model,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu,

 bafd1978d6a68db89b4b75008e1bb53aea81f632,DeMIAN: Deep Modality Invariant Adversarial Network,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 ba7b12c8e2ff3c5e4e0f70b58215b41b18ff8feb,Natural and Effective Obfuscation by Head Inpainting,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -10241,9 +12609,11 @@ bab65e5a5e0768fbddfaa0fa85f9fe9a51d38b6c,Personalized Modeling of Facial Action
 bab65e5a5e0768fbddfaa0fa85f9fe9a51d38b6c,Personalized Modeling of Facial Action Unit Intensity,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 ba26bf9ffd328d23faca2deea9ebb3292bddcd93,Neural Styling for Interpretable Fair Representations,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,

 bac11ce0fb3e12c466f7ebfb6d036a9fe62628ea,Weakly Supervised Learning of Heterogeneous Concepts in Videos,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+bac11ce0fb3e12c466f7ebfb6d036a9fe62628ea,Weakly Supervised Learning of Heterogeneous Concepts in Videos,India,India,India,20.59368400,78.96288000,edu,

 ba9e967208976f24a09730af94086e7ae0417067,An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 ba82f4ebd5e62c049387dcb6a1bffbc5d23aea2b,Ordinal Depth Supervision for 3D Human Pose Estimation,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 ba82f4ebd5e62c049387dcb6a1bffbc5d23aea2b,Ordinal Depth Supervision for 3D Human Pose Estimation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3,Face Recognition Techniques : A Review,India,India,India,20.59368400,78.96288000,edu,

 ba8e129724e86984d7f935353941cbc9b134e171,Zero-Shot Learning With Attribute Selection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 ba8e129724e86984d7f935353941cbc9b134e171,Zero-Shot Learning With Attribute Selection,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 ba8e129724e86984d7f935353941cbc9b134e171,Zero-Shot Learning With Attribute Selection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -10257,34 +12627,48 @@ bacc83feb1146bb3d4cb3fa6304090c2ceb6e0d0,Attribute Learning for Network Intrusio
 6515fe829d0b31a5e1f4dc2970a78684237f6edb,Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 656ef752b363a24f84cc1aeba91e4fa3d5dd66ba,Robust open-set face recognition for small-scale convenience applications,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 65f6d0d91cdf1a77e3c5cb78c7d21f0f4f01f8b5,"Incremental , Robust , and Efficient Linear Discriminant Analysis Learning",Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+656b6133fd671f129fce0091a8dab39c97e604f2,Multiview Discriminative Geometry Preserving Projection for Image Classification,China,China,China,35.86166000,104.19539700,edu,

 65429789a95b3026457de76d46b5ec94158ce10e,PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+650bfe7acc3f03eb4ba91d9f93da8ef0ae8ba772,A Deep Learning Approach for Subject Independent Emotion Recognition from Facial Expressions,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 650bfe7acc3f03eb4ba91d9f93da8ef0ae8ba772,A Deep Learning Approach for Subject Independent Emotion Recognition from Facial Expressions,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+65babb10e727382b31ca5479b452ee725917c739,Label Distribution Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 656531036cee6b2c2c71954bb6540ef6b2e016d0,Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 656531036cee6b2c2c71954bb6540ef6b2e016d0,Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 656531036cee6b2c2c71954bb6540ef6b2e016d0,Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification,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,

 6577a11fc1e022670a0867ca2622b72ef225616e,Conservative learning for learning object detectors ?,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 65d7f95fcbabcc3cdafc0ad38e81d1f473bb6220,Face Recognition for the Visually Impaired,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

+65b1760d9b1541241c6c0222cc4ee9df078b593a,EnhancedPictorial Structures for Precise Eye Localization Under Uncontrolled Conditions,China,China,China,35.86166000,104.19539700,edu,

 65b1760d9b1541241c6c0222cc4ee9df078b593a,EnhancedPictorial Structures for Precise Eye Localization Under Uncontrolled Conditions,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 650aaa330f088c2a0ba6bc6cb4a1ea7a61bd2173,Constructing Visual Models with a Latent Space Approach,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 650aaa330f088c2a0ba6bc6cb4a1ea7a61bd2173,Constructing Visual Models with a Latent Space Approach,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 652aac54a3caf6570b1c10c993a5af7fa2ef31ff,"STATISTICAL MODELING FOR NETWORKED VIDEO : CODING OPTIMIZATION , ERROR CONCEALMENT AND TRAFFIC ANALYSIS",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,

 652aac54a3caf6570b1c10c993a5af7fa2ef31ff,"STATISTICAL MODELING FOR NETWORKED VIDEO : CODING OPTIMIZATION , ERROR CONCEALMENT AND TRAFFIC ANALYSIS",Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 65dadb2128c8720e9d23160058935a6eb459f7ba,High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

+65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,China,China,China,35.86166000,104.19539700,edu,

+65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,China,China,China,35.86166000,104.19539700,edu,

+65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,China,China,China,35.86166000,104.19539700,edu,

+65874dd7220664762b5b25f47460b623a7eb0175,Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 65293ecf6a4c5ab037a2afb4a9a1def95e194e5f,"Face , Age and Gender Recognition using Local Descriptors",Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 65293ecf6a4c5ab037a2afb4a9a1def95e194e5f,"Face , Age and Gender Recognition using Local Descriptors",University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 65bba9fba03e420c96ec432a2a82521ddd848c09,Connectionist Temporal Modeling for Weakly Supervised Action Labeling,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 656268296532913eb34929e82ee19808429de06a,Amygdala Engagement in Response to Subthreshold Presentations of Anxious Face Stimuli in Adults with Autism Spectrum Disorders: Preliminary Insights,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu,

 656268296532913eb34929e82ee19808429de06a,Amygdala Engagement in Response to Subthreshold Presentations of Anxious Face Stimuli in Adults with Autism Spectrum Disorders: Preliminary Insights,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu,

+65cea66a59a4e75c8403daf3589f81627d5afd12,Social Behavior Prediction from First Person Videos,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 65fbd8c6b6a8814c3d8b28b4e14b2e262e60c58c,Bridging Cognitive Programs and Machine Learning,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 6577c76395896dd4d352f7b1ee8b705b1a45fa90,Towards computational models of kinship verification,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 6577c76395896dd4d352f7b1ee8b705b1a45fa90,Towards computational models of kinship verification,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+65539436abf0eedabeb915a52f787b962722c99a,Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 65150ea455cf30ff75a73c1d25df84687d4930e4,3 D Object Retrieval and Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 65c978a97f54cf255f01c6846d6c51b37c61f836,A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 65683bd97720bc18a022b23755b32c8c988e8d5c,Discovering social groups via latent structure learning.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 65683bd97720bc18a022b23755b32c8c988e8d5c,Discovering social groups via latent structure learning.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 65355cbb581a219bd7461d48b3afd115263ea760,Recognition of ongoing complex activities by sequence prediction over a hierarchical label space,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 6555ef4e6f9582b5cb06199a70d4f54df04314ff,Part-based clothing segmentation for person retrieval,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu,

+6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu,

+6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu,

 6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu,

 65086cbda9714c538417f7b25f9cf661e6d72833,Tracking Using Motion Patterns for Very Crowded Scenes,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,

 651ea8b030470ab4a70efced154e77028a102713,Increasing Face Recognition Rate,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu,

 65821b839b8c6ecf6cba7be0ca132da59075e1b4,"Preliminary studies on the Good, the Bad, and the Ugly face recognition challenge problem",Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

@@ -10294,9 +12678,11 @@ bacc83feb1146bb3d4cb3fa6304090c2ceb6e0d0,Attribute Learning for Network Intrusio
 65b737e5cc4a565011a895c460ed8fd07b333600,Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 65b737e5cc4a565011a895c460ed8fd07b333600,Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 65b737e5cc4a565011a895c460ed8fd07b333600,Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

+653d19e64bd75648cdb149f755d59e583b8367e3,"Decoupling ""when to update"" from ""how to update""",The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu,

 6577d30abd8bf5b21901572504bd82101a7eed75,Ear Biometrics in Human Identification,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 a63104ad235f98bc5ee0b44fefbcdb49e32c205a,Has my algorithm succeeded? an evaluator for human pose estimators,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 a63104ad235f98bc5ee0b44fefbcdb49e32c205a,Has my algorithm succeeded? an evaluator for human pose estimators,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+a65c76169bdb8479353806556f61bf94fdec7e10,Online Object Tracking With Sparse Prototypes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a6f93435e006328fd0a5dcb7639e771431cc2c37,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 a6f93435e006328fd0a5dcb7639e771431cc2c37,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 a6f93435e006328fd0a5dcb7639e771431cc2c37,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

@@ -10306,6 +12692,7 @@ a6e2c9b854446a23c14f6172a047d0df2cdd34ed,"Clustering , Dimensionality Reduction
 a6bd679c8a9346a39a003f536f36b7f77c0e09df,Running Head : ENHANCED AVERSIVE CONDITIONING TO POSITIVE STIMULI,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 a6bd679c8a9346a39a003f536f36b7f77c0e09df,Running Head : ENHANCED AVERSIVE CONDITIONING TO POSITIVE STIMULI,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 a6e039f0b4f586c2014e42c36ea173e249636f28,Fusion of Depth and Vision Information for Human Detection ⋆,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu,

+a6e039f0b4f586c2014e42c36ea173e249636f28,Fusion of Depth and Vision Information for Human Detection ⋆,China,China,China,35.86166000,104.19539700,edu,

 a6e039f0b4f586c2014e42c36ea173e249636f28,Fusion of Depth and Vision Information for Human Detection ⋆,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,

 a663e729cb44cd02eda2d2a08d9117839dc67ca1,Deep Generative Models with Learnable Knowledge Constraints,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,

 a6e21438695dbc3a184d33b6cf5064ddf655a9ba,PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

@@ -10329,7 +12716,7 @@ a60540a8407fd117fd8e6857d4728e661f53dcc8,Deep Domain Generalization via Conditio
 a6f63bcd346750602fa6c1d3c28cb1aafb4f9a30,Probabilistic Scene Modeling for Situated Computer Vision,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

 a6b3457f861c8ab718321dc30dc708a4f8424796,3 D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e,Exploring the Spatial Hierarchy of Mixture Models for Human Pose 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,

-a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e,Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e,Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a6b1d79bc334c74cde199e26a7ef4c189e9acd46,Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision.,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 a6b1d79bc334c74cde199e26a7ef4c189e9acd46,Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision.,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 a6f4d114dae7664a5161a21fc2bdc76c86a2d69b,A 2D Human Body Model Dressed in Eigen Clothing,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

@@ -10347,25 +12734,40 @@ a6ffe238eaf8632b4a8a6f718c8917e7f3261546,Dynamic facial prosthetics for sufferer
 a6ffe238eaf8632b4a8a6f718c8917e7f3261546,Dynamic facial prosthetics for sufferers of facial paralysis.,Nottingham Trent University,Nottingham Trent University,"Nottingham Trent University, Waverley Terrace, Lace Market, The Park, City of Nottingham, East Midlands, England, NG1 5JD, UK",52.95773220,-1.15617099,edu,

 a624f18087e663dbdbf176de45b863cc59bb2bb8,Aesthetic Evaluation of Facial Portraits Using Compositional Augmentation for Deep CNNs,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 a67da2dd79c01e8cc4029ecc5a05b97967403862,On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines,Myongji University,Myongji University,"명지대, 금학로, 역북동, 처인구, 용인시, 경기, 17144, 대한민국",37.23810230,127.19034310,edu,

+a608c5f8fd42af6e9bd332ab516c8c2af7063c61,Age Estimation via Grouping and Decision Fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a6fc29d0a2b1eedd82b2cd55e2d271ec49054c1e,Learning To Simulate,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+a6574d111bfb12d6a9988bdbbf24639d3c4534ec,Image denoising: Can plain neural networks compete with BM3D?,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+a6bc69831dea3efc5804b8ab65cf5a06688ddae0,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 a6bc69831dea3efc5804b8ab65cf5a06688ddae0,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 a6bc69831dea3efc5804b8ab65cf5a06688ddae0,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu,

+a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu,

+a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu,

 a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu,

 a6f81619158d9caeaa0863738ab400b9ba2d77c2,Face Recognition using Convolutional Neural Network and Simple Logistic Classifier,K.N. Toosi University of Technology,K.N. Toosi University of Technology,"دانشکده مهندسی عمران و نقشه برداری, ولی عصر, کاووسیه, منطقه ۳ شهر تهران, تجریش, بخش رودبارقصران, شهرستان شمیرانات, استان تهران, 1968653111, ‏ایران‎",35.76427925,51.40970276,edu,

 a6e25cab2251a8ded43c44b28a87f4c62e3a548a,Let's Dance: Learning From Online Dance Videos,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 a6e8a8bb99e30a9e80dbf80c46495cf798066105,Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 a60907b7ee346b567972074e3e03c82f64d7ea30,Head Motion Signatures from Egocentric Videos,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 a60907b7ee346b567972074e3e03c82f64d7ea30,Head Motion Signatures from Egocentric Videos,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+db67edbaeb78e1dd734784cfaaa720ba86ceb6d2,SPECFACE — A dataset of human faces wearing spectacles,India,India,India,20.59368400,78.96288000,edu,

 db1f48a7e11174d4a724a4edb3a0f1571d649670,Joint Constrained Clustering and Feature Learning based on Deep Neural Networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 db1f48a7e11174d4a724a4edb3a0f1571d649670,Joint Constrained Clustering and Feature Learning based on Deep Neural Networks,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+dbe101c7c4b5ea5986be38e4d6de70bfc4324683,1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+dbe101c7c4b5ea5986be38e4d6de70bfc4324683,1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 dbc749490275db26337c7e3201027e8cef8e371c,Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition,University of Oulu,University 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,

+dbc749490275db26337c7e3201027e8cef8e371c,Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu,

+db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu,

+db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu,

 db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu,

+db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu,

 db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu,

+db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu,

 db056590e54d7be16fb1c96deb9e94914ea9f838,Awareness of Road Scene Participants for Autonomous Driving,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 db7e48d2655521c1a89b579d8cb839a95d6e6a14,Boosted Attention: Leveraging Human Attention for Image Captioning,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 db3ce18f318ee732dab2e2f574062c94f7398943,"Image Semantic Transformation: Faster, Lighter and Stronger",Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

@@ -10374,7 +12776,10 @@ db9bd76813a6d9c3c8d69d2ffa49694fa588e902,Motion and Appearance Based MultiTask L
 db995bcf42e4f4952b83b40339c2858345f227be,MOBILE TO SERVER FACE RECOGNITION : A PROPOSED SYSTEM FOR SOCIAL SITUATIONS IN MALAYSIA,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 dbf98990383ee38413f55c831f89095a1b009420,Weakly supervised learning of part-based spatial models for visual object recognition,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 dbcab35c43c78411da8ceba4bdebe69f79308568,Social Style Characterization from Egocentric Photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

-dbcab35c43c78411da8ceba4bdebe69f79308568,Social Style Characterization from Egocentric Photo-streams,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+dbcab35c43c78411da8ceba4bdebe69f79308568,Social Style Characterization from Egocentric Photo-streams,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,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,

 db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,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,

 db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,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,

@@ -10383,11 +12788,16 @@ db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Co
 db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,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,

 db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,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,

 db63bf0ea02ad561d6b97c6cf000c3954e428787,Polyphonic Sound Event Detection with Weak Labeling,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,

+dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 db428d03e3dfd98624c23e0462817ad17ef14493,Oxford TRECVID 2006 – Notebook paper,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd,From what we perceive to what we remember : Characterizing representational dynamics of visual memorability,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd,From what we perceive to what we remember : Characterizing representational dynamics of visual memorability,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu,

 dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd,From what we perceive to what we remember : Characterizing representational dynamics of visual memorability,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 db640eddc51258cf6b11e442745d9a4bd5d6995b,Simple Baselines for Human Pose Estimation and Tracking,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+dbe255d3d2a5d960daaaba71cb0da292e0af36a7,Evolutionary Cost-Sensitive Extreme Learning Machine,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+dbcb6b4c0d73159ad4bc833fa4209b9600025fa5,Eleventh International Multi-Conference on Information Processing-2015 ( IMCIP-2015 ) Analysis of Attention Identification and Recognition of Faces through Segmentation and Relative Visual Saliency ( SRVS ),India,India,India,20.59368400,78.96288000,edu,

 db82f9101f64d396a86fc2bd05b352e433d88d02,A spatio-temporal probabilistic framework for dividing and predicting facial action units,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 db6344e4f8a41c619573c8579595612a7cdfb080,Research on Face Recognition based on Wavelet Transformation and Improved Sparse Representation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 dbf6d2619bd41ce4c36488e15d114a2da31b51c9,Data-Driven Modeling of Group Entitativity in Virtual Environments,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,

@@ -10402,7 +12812,7 @@ dbbdb23bb2512ef0922c5396cb95f713257b6ac8,Infinite-Label Learning with Semantic O
 dbbdb23bb2512ef0922c5396cb95f713257b6ac8,Infinite-Label Learning with Semantic Output Codes,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 dbbdb23bb2512ef0922c5396cb95f713257b6ac8,Infinite-Label Learning with Semantic Output Codes,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 dbb202b5dc073a2284044b4903a6057ac54c034f,Semi-Supervised Ground-to-Aerial Adaptation with Heterogeneous Features Learning for Scene Classification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

-dba493caf6647214c8c58967a8251641c2bda4c2,Automatic 3 D Facial Expression Editing in Videos,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

+dba493caf6647214c8c58967a8251641c2bda4c2,Automatic 3 D Facial Expression Editing in Videos,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 dbede5113e4e91a3a26058e8b7253438a1df04c9,Online Dictionary Learning for Approximate Archetypal Analysis,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 dbbfb8ab9355d00ec3b2a9be12747e2e20458bb5,Data Analysis Project : Using Knowledge Graphs for Image Classification,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,

 db3545a983ffd24c97c18bf7f068783102548ad7,Enriching the Student Model in an Intelligent Tutoring System,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

@@ -10415,11 +12825,16 @@ db0a4af734dab1854c2e8dfe499fe0e353226e45,Hot Anchors: A Heuristic Anchors Sampli
 db0a4af734dab1854c2e8dfe499fe0e353226e45,Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 db36e682501582d1c7b903422993cf8d70bb0b42,Deep Trans-layer Unsupervised Networks for Representation Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 db36e682501582d1c7b903422993cf8d70bb0b42,Deep Trans-layer Unsupervised Networks for Representation Learning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+db36e682501582d1c7b903422993cf8d70bb0b42,Deep Trans-layer Unsupervised Networks for Representation Learning,China,China,China,35.86166000,104.19539700,edu,

+dbb7b563e84903dad4953a8e9f23e3c54c6d7e78,Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dbd98092268bf3ebf8c63b2b40bdd01872358fa2,Deep Adversarial Subspace Clustering,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+db848c3c32464d12da33b2f4c3a29fe293fc35d1,Pose Guided Human Video Generation,China,China,China,35.86166000,104.19539700,edu,

 db848c3c32464d12da33b2f4c3a29fe293fc35d1,Pose Guided Human Video Generation,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,

 db3f52ffc7f09b415dd148cd1c6de9a811d1c5d4,Facial Dynamics for Identity Recognition,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,Shandong University of Science and Technology,Shandong University of Science and Technology,"山东科技大学, 579, 前湾港路, 牛王庙, 北下庄, 黄岛区 (Huangdao), 青岛市, 山东省, 266500, 中国",36.00146435,120.11624057,edu,

+db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,China,China,China,35.86166000,104.19539700,edu,

 db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu,

+db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,China,China,China,35.86166000,104.19539700,edu,

 dbd3b57b942cb860207c377ac41d777f51ceabfa,AN INVERSE KINEMATIC MATHEMATICAL MODEL USING GROEBNER BASIS THEORY FOR ARM SWING MOVEMENT IN THE GAIT CYCLE By,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 dbf777403156adda2d551a973379edd3e2bc5aaa,Interpretable Explanations of Black Boxes by Meaningful Perturbation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 dbf777403156adda2d551a973379edd3e2bc5aaa,Interpretable Explanations of Black Boxes by Meaningful Perturbation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -10443,9 +12858,13 @@ dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb,Improving Accuracy of the Edgebox Appro
 31f1e711fcf82c855f27396f181bf5e565a2f58d,Unconstrained Age Estimation with Deep Convolutional Neural Networks,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 31f1e711fcf82c855f27396f181bf5e565a2f58d,Unconstrained Age Estimation with Deep Convolutional Neural Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

-315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 31ea88f29e7f01a9801648d808f90862e066f9ea,Deep Multi-task Representation Learning: A Tensor Factorisation Approach,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+31f1c4cf34ce0bb35382c35b2f468cf72bffae0b,Are spatial and global constraints really necessary for segmentation?,"BIWI, ETH Zurich","BIWI, ETH Zurich","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu,

+31d007eda3aca9c5114559ddd1f80c5275f3a84f,A Suitable Adaptive Illumination Compensation Method for Face Detection,China,China,China,35.86166000,104.19539700,edu,

 3137a3fedf23717c411483c7b4bd2ed646258401,Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+31a2fb63a3fc67da9932474cda078c9ac43f85c5,Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3136cab00cfb223ceb9aff78af2c165b6e71a878,Open source biometric recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 3136cab00cfb223ceb9aff78af2c165b6e71a878,Open source biometric recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 3136cab00cfb223ceb9aff78af2c165b6e71a878,Open source biometric recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -10454,19 +12873,26 @@ dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb,Improving Accuracy of the Edgebox Appro
 3154d7479881c7efd8a50909af921cfa8cff8e2e,Recognizing hand-object interactions in wearable camera videos,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,

 313e508202a6f4f2fc40a78b6237e52c2c0d22a2,Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 316d51aaa37891d730ffded7b9d42946abea837f,Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu,

+312b5c73d79ae80f9f8e4573118d372cf29a80e8,Multiple object video tracking using GRASP-MHT,China,China,China,35.86166000,104.19539700,edu,

 316486bada6023816c785c0d4eb401658737be3f,QoS-Aware scheduling in heterogeneous datacenters with paragon,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 31e1d021bd06054bbfcd915794e84448ae681000,Joint Deep Learning for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 31835472821c7e3090abb42e57c38f7043dc3636,Flow Counting Using Realboosted Multi-sized Window Detectors,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 31c5d8109f3110fc8b7eeb6265e832e809cdaa39,Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision,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,

 3146fabd5631a7d1387327918b184103d06c2211,Person-Independent 3D Gaze Estimation Using Face Frontalization,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,

 3146fabd5631a7d1387327918b184103d06c2211,Person-Independent 3D Gaze Estimation Using Face Frontalization,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

+318e7e6daa0a799c83a9fdf7dd6bc0b3e89ab24a,Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 31ffe7b6447221ade78c71c36e8e86279a8478b6,Batch-normalized recurrent highway networks,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 313d5eba97fe064bdc1f00b7587a4b3543ef712a,Compact Deep Aggregation for Set Retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 3127738c7a634d7b651405cb31fbc52ec7d5806a,Robust Subspace Recovery via Dual Sparsity Pursuit,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

+31ea778b6f5c9c2653eb2bed307ac7b02bcc6894,Dense error correction via l1-minimization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+31f5eebfebac54cf5817deea7da32994637a5b28,Multi-view Metric Learning for Multi-view Video Summarization,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

 31f5eebfebac54cf5817deea7da32994637a5b28,Multi-view Metric Learning for Multi-view Video Summarization,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu,

 31f5eebfebac54cf5817deea7da32994637a5b28,Multi-view Metric Learning for Multi-view Video Summarization,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

+312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

+312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 310dbc59aa3309f2a3813728783d81a9f7f1c939,Estimating contact dynamics,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 31e00cb6451920447cdce252bf73d162fe91d775,DSNet for Real-Time Driving Scene Semantic Segmentation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 31c34a5b42a640b824fa4e3d6187e3675226143e,Shape and texture based facial action and emotion recognition,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

@@ -10479,9 +12905,12 @@ dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb,Improving Accuracy of the Edgebox Appro
 3164189f84710de9f8150385a41a7079a57186df,Object detection using edge histogram of oriented gradient,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 312b2566e315dd6e65bd42cfcbe4d919159de8a1,An Accurate Algorithm for Generating a Music Playlist based on Facial Expressions,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu,

 3147bb14bf4228735ecf4bc2a421590b3de86c0f,Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-3105fda390d775e6ff7aec1fe7ae42387ec5e672,Convolutional feature masking for joint object and stuff segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3147bb14bf4228735ecf4bc2a421590b3de86c0f,Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

+3105fda390d775e6ff7aec1fe7ae42387ec5e672,Convolutional feature masking for joint object and stuff segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 319aeaba5dfb4f7de44668bbedbbfdcb7ebc50fa,Gait Learning-Based Regenerative Model: A Level Set Approach,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 3167f415a861f19747ab5e749e78000179d685bc,RankBoost with l1 regularization for facial expression recognition and intensity estimation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+3167f415a861f19747ab5e749e78000179d685bc,RankBoost with l1 regularization for facial expression recognition and intensity estimation,China,China,China,35.86166000,104.19539700,edu,

+c7c21e78bdadd1d2d98c43f0be3230e59f008b27,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c7c5f0fe1fcaf3787c7f78f7dc62f3497dcfdf3c,The Impact of Product Photo on Online Consumer Purchase Intention: an Image-Processing Enabled Empirical Study,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 c7c5f0fe1fcaf3787c7f78f7dc62f3497dcfdf3c,The Impact of Product Photo on Online Consumer Purchase Intention: an Image-Processing Enabled Empirical Study,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 c7c5f0fe1fcaf3787c7f78f7dc62f3497dcfdf3c,The Impact of Product Photo on Online Consumer Purchase Intention: an Image-Processing Enabled Empirical Study,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -10490,9 +12919,12 @@ c7c53d75f6e963b403057d8ba5952e4974a779ad,Aging effects in automated face recogni
 c7c53d75f6e963b403057d8ba5952e4974a779ad,Aging effects in automated face recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 c75e6ce54caf17b2780b4b53f8d29086b391e839,"ExpNet: Landmark-Free, Deep, 3D Facial Expressions",Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

 c747c45c2fb3d678954bf1a16a3d9cc4dd4b8f01,Allelic variation in the oxytocin receptor gene and early-emerging social behaviors in boys and girls,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu,

+c78fdd080df01fff400a32fb4cc932621926021f,Robust Automatic Facial Expression Detection Method,China,China,China,35.86166000,104.19539700,edu,

+c78fdd080df01fff400a32fb4cc932621926021f,Robust Automatic Facial Expression Detection Method,China,China,China,35.86166000,104.19539700,edu,

 c7fc1a9dd3c0b2653b0c9ff668cafaff7670da92,An Image-Based Bayesian Framework for Face Detection,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 c72ac3dec0d0b2d5ca4945b07bd6b72c365bdc13,Shorter spontaneous fixation durations in infants with later emerging autism,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 c753521ba6fb06c12369d6fff814bb704c682ef5,Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+c753521ba6fb06c12369d6fff814bb704c682ef5,Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 c74b1643a108939c6ba42ae4de55cb05b2191be5,NON-NEGATIVE MATRIX FACTORIZATION FOR FACE ILLUMINATION ANALYSIS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 c74b1643a108939c6ba42ae4de55cb05b2191be5,NON-NEGATIVE MATRIX FACTORIZATION FOR FACE ILLUMINATION ANALYSIS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 c74b1643a108939c6ba42ae4de55cb05b2191be5,NON-NEGATIVE MATRIX FACTORIZATION FOR FACE ILLUMINATION ANALYSIS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

@@ -10517,6 +12949,7 @@ c79cf7f61441195404472102114bcf079a72138a,Pose-Invariant 2 D Face Recognition by
 c79cf7f61441195404472102114bcf079a72138a,Pose-Invariant 2 D Face Recognition by Matching Using Graphical Models,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 c71b0ed402437470f229b3fdabb88ad044c092ea,Dynamic Conditional Networks for Few-Shot Learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 c71b0ed402437470f229b3fdabb88ad044c092ea,Dynamic Conditional Networks for Few-Shot Learning,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+c71b0ed402437470f229b3fdabb88ad044c092ea,Dynamic Conditional Networks for Few-Shot Learning,China,China,China,35.86166000,104.19539700,edu,

 c72e6992f44ce75a40f44be4365dc4f264735cfb,Story Understanding in Video Advertisements,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 c7c61d35025943031a0cefeece9a9215fd4019e5,Egocentric Visual Event Classification with Location-Based Priors,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 c71f36c9376d444075de15b1102b4974481be84d,"3D morphable models : data pre-processing, statistical analysis and fitting",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

@@ -10534,7 +12967,11 @@ c7dd846c0abc896e5fd0940ac07927553cc55734,Neurofunctional Underpinnings of Audiov
 c7dd846c0abc896e5fd0940ac07927553cc55734,Neurofunctional Underpinnings of Audiovisual Emotion Processing in Teens with Autism Spectrum Disorders,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu,

 c71db5d3546e22227662ee0f0ce586495ef18899,SALICON: Saliency in Context,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 9405a9180139f23f4dd9d90aa4e86944b35b8c88,Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

+9405a9180139f23f4dd9d90aa4e86944b35b8c88,Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 9405a9180139f23f4dd9d90aa4e86944b35b8c88,Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

+944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9445d51fd7977fb11a34a0e522efdcdee0d5cd95,First-Person Activity Forecasting with Online Inverse Reinforcement Learning,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 944efd74c6fd812c6c495a11e7b045c9b778702e,RCAA: Relational Context-Aware Agents for Person Search,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,

 944efd74c6fd812c6c495a11e7b045c9b778702e,RCAA: Relational Context-Aware Agents for Person Search,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -10542,8 +12979,12 @@ c71db5d3546e22227662ee0f0ce586495ef18899,SALICON: Saliency in Context,National U
 94d5ebe936c101699e678f6f0cddd8a732986814,What you see is what you get: contextual modulation of face scanning in typical and atypical development,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 94d5ebe936c101699e678f6f0cddd8a732986814,What you see is what you get: contextual modulation of face scanning in typical and atypical development,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 94d5ebe936c101699e678f6f0cddd8a732986814,What you see is what you get: contextual modulation of face scanning in typical and atypical development,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

+9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73,A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73,A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 943a1e218b917172199e524944006aa349f58968,Joint Learning of Intrinsic Images and Semantic Segmentation,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,

 945cd58065f923e3cdc46a28c2b3f0c22ebfca9e,"Mutual eye gaze facilitates person categorization for typically developing children, but not for children with autism.",University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu,

+94b9c0a6515913bad345f0940ee233cdf82fffe1,Face Recognition using Local Ternary Pattern for Low Resolution Image,India,India,India,20.59368400,78.96288000,edu,

+94b9c0a6515913bad345f0940ee233cdf82fffe1,Face Recognition using Local Ternary Pattern for Low Resolution Image,India,India,India,20.59368400,78.96288000,edu,

 94e008564e4f091a887fdda379e7d26d90920c54,Stereological Study of Amygdala Glial Populations in Adolescents and Adults with Autism Spectrum Disorder,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

 9409753efbdbf82e1c01a717ff98aa5d4c6d980d,Deep Energies for Estimating Three-Dimensional Facial Pose and Expression,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 94254e7f2524985c78f050bcf1a5793a1076717f,Human Trajectory Forecasting In Indoor Environments Using Geometric Context,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

@@ -10553,12 +12994,14 @@ c71db5d3546e22227662ee0f0ce586495ef18899,SALICON: Saliency in Context,National U
 94f093ce723a7112d5698a1e88f437503d2d40af,Identifying The Most Informative Features Using A Structurally Interacting Elastic Net,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 94f093ce723a7112d5698a1e88f437503d2d40af,Identifying The Most Informative Features Using A Structurally Interacting Elastic Net,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 9454399b92939a650f6cc967d129a71c9ffbb59c,An improved algorithm for eye corner detection,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+9454399b92939a650f6cc967d129a71c9ffbb59c,An improved algorithm for eye corner detection,India,India,India,20.59368400,78.96288000,edu,

 949d20c44387918cde21f800d8d1cdf53f016bb4,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 949d20c44387918cde21f800d8d1cdf53f016bb4,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 94f55752c68351ced0a50c7953bae9dd1b9044e9,Image � based Face Recognition Issues and,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 946c2036c940e77260ade031ba413ec9f2435985,PCA for Gender Estimation: Which Eigenvectors Contribute?,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu,

 949699d0b865ef35b36f11564f9a4396f5c9cddb,"Processing of facial identity and expression: a psychophysical, physiological, and computational perspective.",Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu,

 949699d0b865ef35b36f11564f9a4396f5c9cddb,"Processing of facial identity and expression: a psychophysical, physiological, and computational perspective.",University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu,

+94826cb68980e3b89118569c93cfd36f3945fa99,Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 947bd44270618f5a1b046b68f1ada3c11d97b440,GazeDPM: Early Integration of Gaze Information in Deformable Part Models,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 94bf6b804dfcedb0bf6b0d5c711bb7fe305f3704,Looking at faces: autonomous perspective invariant facial gaze analysis,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 9487cea80f23afe9bccc94deebaa3eefa6affa99,"Fast, Dense Feature SDM on an iPhone",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

@@ -10584,16 +13027,26 @@ b33e062f36dec4e49558133426b50c2536cb0a1b,A Learning-Style Theory for Understandi
 b33e062f36dec4e49558133426b50c2536cb0a1b,A Learning-Style Theory for Understanding Autistic Behaviors,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu,

 b33e062f36dec4e49558133426b50c2536cb0a1b,A Learning-Style Theory for Understanding Autistic Behaviors,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 b374391ab793a1bb2ecde4df51be9d97c2cbf79a,Improved PCA based Face Recognition using Feature based Classifier Ensemble,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

+b37f57edab685dba5c23de00e4fa032a3a6e8841,Towards social interaction detection in egocentric photo-streams,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 b395e6a9f28c5acbf81a58599283753c033b9540,Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking,University of Oulu,University 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,

+b395e6a9f28c5acbf81a58599283753c033b9540,Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 b3ba7ab6de023a0d58c741d6abfa3eae67227caf,Zero-Shot Activity Recognition with Verb Attribute Induction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 b3330adb131fb4b6ebbfacce56f1aec2a61e0869,Emotion recognition using facial images,SASTRA University,SASTRA University,"SASTRA University, SRC Campus, Big Bazaar Street, கும்பகோணம், Thanjavur district, Tamil Nadu, 612001, India",10.96286550,79.38530651,edu,

 b3200539538eca54a85223bf0ec4f3ed132d0493,Action Anticipation with RBF Kernelized Feature Mapping RNN,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",Russia,Russia,Russia,61.52401000,105.31875600,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu,

 b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors","Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu,

 b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu,

+b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",Finland,Finland,Finland,61.92411000,25.74815110,edu,

 b38c7a58b4c5298705b8f63dcb6a1c21ee297af8,"Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation",University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 b38c7a58b4c5298705b8f63dcb6a1c21ee297af8,"Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation",University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 b357576afb70465e47144aef96955b1e4b9cc1f7,Oriented Response Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 b357576afb70465e47144aef96955b1e4b9cc1f7,Oriented Response Networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+b3c398da38d529b907b0bac7ec586c81b851708f,Removing Shadows from Face Images Using ICA,China,China,China,35.86166000,104.19539700,edu,

 b3f3d6be11ace907c804c2d916830c85643e468d,A Logical Framework for Trust-Related Emotions: Formal and Behavioral Results by Manh Hung NGUYEN Co-supervisors:,University of Toulouse,University of Toulouse,"Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA",30.17818160,-93.23605810,edu,

 b370eb9839be558e7db8390ce342312bd4835be9,Object Localization Does Not Imply Awareness of Object Category at the Break of Continuous Flash Suppression,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,

 b3a45118534144f50a56653dac8109c73fc2c0e8,A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -10607,6 +13060,7 @@ b3e50a64709a62628105546e392cf796f95ea0fb,Clustering via Boundary Erosion,Xiamen
 b3c8752cada163af9f72d37d2781ecd49b4c8c52,Nonparametric guidance of autoencoder representations using label information,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 b3c8752cada163af9f72d37d2781ecd49b4c8c52,Nonparametric guidance of autoencoder representations using label information,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 b3a82f7df6d19898da0d0a01285b8331e099cea4,Gait-Based Person Identification Using Motion Interchange Patterns,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

+b352bd38298608afab5df341857313c146c1418c,One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding,China,China,China,35.86166000,104.19539700,edu,

 b352bd38298608afab5df341857313c146c1418c,One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 b352bd38298608afab5df341857313c146c1418c,One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 b3ee1a0ff6cb36621c65c4a7b05a5179db280d35,Neural Caption Generation for News Images,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu,

@@ -10615,8 +13069,12 @@ b3345c179be86c3fa7f3fece7d1f0db93e2cf8dc,Perceptual Differences between Men and
 b36faeba2383cef082f9f3f509dd2098a926e2f5,Speed Up Learning based Descriptor for Face Verification,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu,

 b3d592bfbdeddd4074cf7aa8a832f13cd9d3be0d,Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu,

+b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,China,China,China,35.86166000,104.19539700,edu,

+b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,"Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, Beijing, China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu,

 b3b920c797259d1340fcd2cee619203821dabe23,Alpha-Beta Divergences Discover Micro and Macro Structures in Data,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,India,India,India,20.59368400,78.96288000,edu,

+b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,India,India,India,20.59368400,78.96288000,edu,

+b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,India,India,India,20.59368400,78.96288000,edu,

 b3cc2554449fb10002250bbc178e1009fc2fdb70,Face Recognition Based On Local Zernike Moments,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 b3b467961ba66264bb73ffe00b1830d7874ae8ce,Finding Tiny Faces,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 b3b467961ba66264bb73ffe00b1830d7874ae8ce,Finding Tiny Faces,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,

@@ -10629,12 +13087,15 @@ b341a33f098ce9dc6dbf5c50e8a1f7fe43fb21f2,Deep learning evaluation using deep lin
 3d68cedd80babfbb04ab197a0b69054e3c196cd9,Bimodal information analysis for emotion recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 3ddfa1e5e57c8f439796d092b3059075600198b1,Linear Representation Learning Using Sphere Factor Analysis,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 3ddfa1e5e57c8f439796d092b3059075600198b1,Linear Representation Learning Using Sphere Factor Analysis,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

+3d7a5d1fbec861542631fcb10f58e38f4f51a04c,Face Recognition Application of Blur-Robust Pitta,India,India,India,20.59368400,78.96288000,edu,

+3d7a5d1fbec861542631fcb10f58e38f4f51a04c,Face Recognition Application of Blur-Robust Pitta,India,India,India,20.59368400,78.96288000,edu,

 3d33f16ffb3f56e63b8b5c51147b1a07840d734a,Developing Cognitions about Race : White 5-to 10-Year-Olds ’ Perceptions of Hardship and Pain Running head : DEVELOPING COGNITIONS ABOUT RACE,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

 3d33f16ffb3f56e63b8b5c51147b1a07840d734a,Developing Cognitions about Race : White 5-to 10-Year-Olds ’ Perceptions of Hardship and Pain Running head : DEVELOPING COGNITIONS ABOUT RACE,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

 3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f,Bimodal Human Emotion Classification in the Speaker-Dependent Scenario,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu,

 3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f,Bimodal Human Emotion Classification in the Speaker-Dependent Scenario,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu,

 3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f,Face Alignment in Full Pose Range: A 3D Total Solution,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f,Face Alignment in Full Pose Range: A 3D Total Solution,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+3d0a787aac818909a01e039dd1878fbee52e8765,Viewpoint-aware Attentive Multiview Inference for Vehicle Re-identification,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 3d0a787aac818909a01e039dd1878fbee52e8765,Viewpoint-aware Attentive Multiview Inference for Vehicle Re-identification,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

 3dd5a70191613e0867d32f368fad6ec25c63cfb4,Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 3d855f0665a912ff2c7736cecf9b8eae3effc281,Evaluation of Deep Learning based Pose Estimation for Sign Language,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

@@ -10658,7 +13119,8 @@ b341a33f098ce9dc6dbf5c50e8a1f7fe43fb21f2,Deep learning evaluation using deep lin
 3d204dbc13f59f1a1678c773b30a1d85e305f548,Modern Facial Attractiveness : Investigating Gendered Preferences for Dominance and Personality,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu,

 3d5a4b31e6e25cd0cfefa0b5925674377cdaea7d,Training VAEs Under Structured Residuals,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 3d5a4b31e6e25cd0cfefa0b5925674377cdaea7d,Training VAEs Under Structured Residuals,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

-3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87,CIDEr: Consensus-based image description evaluation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87,CIDEr: Consensus-based image description evaluation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+3d6229044f6605604818f39f08c5270a5a132a03,Projective Nonnegative Matrix Factorization based on α-Divergence,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 3dfd94d3fad7e17f52a8ae815eb9cc5471172bc0,Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

 3dfd94d3fad7e17f52a8ae815eb9cc5471172bc0,Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu,

 3d22f972448a2336677ae6ff2877fae010c7dfa2,What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

@@ -10667,64 +13129,97 @@ b341a33f098ce9dc6dbf5c50e8a1f7fe43fb21f2,Deep learning evaluation using deep lin
 3db59805f585447d2946a00b9277f59707396f0f,Predicting Human Performance for Face Recognition 1,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 3db59805f585447d2946a00b9277f59707396f0f,Predicting Human Performance for Face Recognition 1,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 3db59805f585447d2946a00b9277f59707396f0f,Predicting Human Performance for Face Recognition 1,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

+3db123d094c7ba33bbd3c4ccbea77e2093ad6174,Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3da12b99cd8040bb374eed160f8016b3fe492967,Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3d81625b6d51ee81c95333aceaa3f60094f01d6b,Deep Learning Strong Parts for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3d81625b6d51ee81c95333aceaa3f60094f01d6b,Deep Learning Strong Parts for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3d81625b6d51ee81c95333aceaa3f60094f01d6b,Deep Learning Strong Parts for Pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 3dfb822e16328e0f98a47209d7ecd242e4211f82,Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+3dfb822e16328e0f98a47209d7ecd242e4211f82,Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments,China,China,China,35.86166000,104.19539700,edu,

 3dbfd2fdbd28e4518e2ae05de8374057307e97b3,Improving face detection,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu,

 3d69d634f79dfcc717e18f73c886b854a157a3ef,Mix-and-Match Tuning for Self-Supervised Semantic Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

-3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 3d3fdeb8792859543d791e34af4005a80f348eed,Children's racial bias in perceptions of others' pain.,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 3d3fdeb8792859543d791e34af4005a80f348eed,Children's racial bias in perceptions of others' pain.,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 3d0379688518cc0e8f896e30815d0b5e8452d4cd,Autotagging Facebook: Social network context improves photo annotation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 3d0379688518cc0e8f896e30815d0b5e8452d4cd,Autotagging Facebook: Social network context improves photo annotation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

+3d6ee995bc2f3e0f217c053368df659a5d14d5b5,Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3d6ee995bc2f3e0f217c053368df659a5d14d5b5,Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

+3da97d97b12fcf22208c36f471119f33a08d9b6f,Multi-modal Biometric system using ear and face ( 2 D + 3 D ) Modalities,India,India,India,20.59368400,78.96288000,edu,

+3da97d97b12fcf22208c36f471119f33a08d9b6f,Multi-modal Biometric system using ear and face ( 2 D + 3 D ) Modalities,India,India,India,20.59368400,78.96288000,edu,

 3dabf7d853769cfc4986aec443cc8b6699136ed0,Data Mining Spontaneous Facial Behavior with Automatic Expression Coding,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 3dabf7d853769cfc4986aec443cc8b6699136ed0,Data Mining Spontaneous Facial Behavior with Automatic Expression Coding,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu,

 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu,

+3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,University of Genoa,"University of Genoa, Italy","Via Balbi, 5, 16126 Genova GE, Italy",44.41490290,8.92674300,edu,

 3d4e6fb9c238c490f57aed72bcf9a81ea5f28972,A Discriminative Model for Learning Semantic and Geometric Interactions in Indoor Scenes ∗,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 3d5f8847e52a7082cbae49003b17b793755ac401,Pedestrian Detection Based on Multi-Block Local Binary Pattern and Biologically Inspired Feature,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+3d5f8847e52a7082cbae49003b17b793755ac401,Pedestrian Detection Based on Multi-Block Local Binary Pattern and Biologically Inspired Feature,China,China,China,35.86166000,104.19539700,edu,

 3d50dbf48cbfdb5cabf53d9163b7a1d612e21d1d,CADP : A Novel Dataset for CCTV Traffic Camera based Accident Analysis,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,

 3d50dbf48cbfdb5cabf53d9163b7a1d612e21d1d,CADP : A Novel Dataset for CCTV Traffic Camera based Accident Analysis,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+3d1b0c7e9ef0e31dd635041539e795dc07ebee86,Tracking people in 3D using a bottom-up top-down detector,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu,

+3dd1338a5d0aa47fa2aef31654ee1392b8089991,Crowdsourcing the construction of a 3D object recognition database for robotic grasping,China,China,China,35.86166000,104.19539700,edu,

+3d62b2f9cef997fc37099305dabff356d39ed477,Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3d00fad9ebc9c4cd13bef710de91f4c9d1870887,LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images,"CSIC-UPC, Barcelona, Spain","Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain","C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain",41.38295500,2.11573820,edu,

 3d00fad9ebc9c4cd13bef710de91f4c9d1870887,LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 3d00fad9ebc9c4cd13bef710de91f4c9d1870887,LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images,École Polytechnique Fédérale de Lausanne,"École Polytechnique Fédérale de Lausanne (EPFL), Switzerland","Bibliothèque de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra",46.51841210,6.56846540,edu,

 3d24b386d003bee176a942c26336dbe8f427aadd,Sequential Person Recognition in Photo Albums with a Recurrent Network,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 3d25eb8241345f86101fda145d95d89c27844fd1,Distributed Submodular Maximization: Identifying Representative Elements in Massive Data,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+3d67e97227846f579d1825e00d395d30e17f5d0e,Face and ECG Based Multi-Modal Biometric Authentication,Ternopil National Economic University,Ternopil National Economic University,"Tarasa Shevchenka Blvd, 9, Ternopil, Ternopil's'ka oblast, Ukraine, 46000",49.55500790,25.59543550,edu,

+3d5575e9ba02128d94c20330f4525fc816411ec2,Learning Video Object Segmentation from Static Images,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu,

 3d5575e9ba02128d94c20330f4525fc816411ec2,Learning Video Object Segmentation from Static Images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 3d0660e18c17db305b9764bb86b21a429241309e,Counting Everyday Objects in Everyday Scenes,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 3d0f9a3031bee4b89fab703ff1f1d6170493dc01,SVDD-Based Illumination Compensation for Face Recognition,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,

 3d0f9a3031bee4b89fab703ff1f1d6170493dc01,SVDD-Based Illumination Compensation for Face Recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

+3da4fa2365c01f53180050c7d332107089d913c0,Face Recognition Using Parzenfaces,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+ef3697668eb643de27995827c630cfd029b10c37,Online self-supervised multi-instance segmentation of dynamic objects,China,China,China,35.86166000,104.19539700,edu,

 ef2a5a26448636570986d5cda8376da83d96ef87,Recurrent Neural Networks and Transfer Learning for Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 ef2a5a26448636570986d5cda8376da83d96ef87,Recurrent Neural Networks and Transfer Learning for Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+ef9081d153f96b96183666a5086c63cecf2f33e6,D Face Recognition Using Radon Transform and Symbolic PCA,India,India,India,20.59368400,78.96288000,edu,

 ef8de1bd92e9ee9d0d2dee73095d4d348dc54a98,Fine-grained Activity Recognition with Holistic and Pose based Features,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 ef8de1bd92e9ee9d0d2dee73095d4d348dc54a98,Fine-grained Activity Recognition with Holistic and Pose based Features,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 ef87221a8297a6058911c94db46b7a31c061f0e1,Shape and Texture Based Deformable Models for Facial Image Analysis ?,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 ef87221a8297a6058911c94db46b7a31c061f0e1,Shape and Texture Based Deformable Models for Facial Image Analysis ?,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 ef3b777cbe362a5e97c5ef27eb3289ebfdb70b53,Improving Reinforcement Learning Based Image Captioning with Natural Language Prior,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

 ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,China,China,China,35.86166000,104.19539700,edu,

+ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,China,China,China,35.86166000,104.19539700,edu,

 ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,China,China,China,35.86166000,104.19539700,edu,

+efb56e7488148d52d3b8a2dae9f8880b273f4226,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN",Russia,Russia,Russia,61.52401000,105.31875600,edu,

 eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42,Visual Question Reasoning on General Dependency Tree,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 ef7039febee4a8dee83d2fcb58696bd276f923de,Distributed Simulation Platform for Autonomous Driving,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

+ef5f604fef0a8bbc7c6f8732db17fb611a39adda,Principle Component Analysis of Low Level Feature Based Face Recognition System,India,India,India,20.59368400,78.96288000,edu,

+ef5f604fef0a8bbc7c6f8732db17fb611a39adda,Principle Component Analysis of Low Level Feature Based Face Recognition System,India,India,India,20.59368400,78.96288000,edu,

+efcedd5750f57f4c7f748783e91918e0f42da61f,Global Haar-Like Features: A New Extension of Classic Haar Features for Efficient Face Detection in Noisy Images,The University of Auckland,"The University of Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu,

 effa69fab7c4fdb30265a4bb404f869d327ae326,Recognizing Human Actions by Their Pose,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

+ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu,

+ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu,

+ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu,

+ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu,

 efd28eabebb9815e34031316624e7f095c7dfcfe,Combining Face with Face-Part Detectors under Gaussian Assumption,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu,

+ef940b76e40e18f329c43a3f545dc41080f68748,A Face Recognition and Spoofing Detection Adapted to Visually-Impaired People,India,India,India,20.59368400,78.96288000,edu,

+efa2b259407b5b9171dd085061d05b72b6309eb0,"Egocentric Activity Recognition Using HOG , HOF , MBH and Combined features",Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu,

+efa2b259407b5b9171dd085061d05b72b6309eb0,"Egocentric Activity Recognition Using HOG , HOF , MBH and Combined features",Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu,

 efc7a620e21abbc882d5a26f0e7a78ae6960be20,FEED-BACK METHOD BASED ON IMAGE PROCESSING FOR DETECTING HUMAN BODY VIA,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 ef458499c3856a6e9cd4738b3e97bef010786adb,Learning Type-Aware Embeddings for Fashion Compatibility,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,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,

-ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

-ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+ef559d5f02e43534168fbec86707915a70cd73a0,DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis,China,China,China,35.86166000,104.19539700,edu,

+ef559d5f02e43534168fbec86707915a70cd73a0,DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis,China,China,China,35.86166000,104.19539700,edu,

 ef29e5515b9ae3af358e511a7faa8cdc69bd073b,Neural bases for impaired social cognition in schizophrenia and autism spectrum disorders,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,

+ef88a02f9b624fe34f4b20ac7beb9ca4f44afe83,Scale robust IMU-assisted KLT for stereo visual odometry solution,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 efa2aacb0fbee857015fad1dba72767f56be6f39,Aggregating Crowdsourced Image Segmentations,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 efa2aacb0fbee857015fad1dba72767f56be6f39,Aggregating Crowdsourced Image Segmentations,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 efa2aacb0fbee857015fad1dba72767f56be6f39,Aggregating Crowdsourced Image Segmentations,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -10732,27 +13227,41 @@ efcaeb699b4e841453f1948140430421c2422a85,Touchdown: Natural Language Navigation
 eff87ecafed67cc6fc4f661cb077fed5440994bb,Evaluation of expression recognition techniques,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 eff87ecafed67cc6fc4f661cb077fed5440994bb,Evaluation of expression recognition techniques,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,

 ef1d48feca1b4589e4dfa607e06e23f84d09d967,Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

+ef2c56cc84f4392d537af740abbfc371d015ef03,3D Pose from Detections,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers for Robust Classification,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu,

-974cadd15684c96618d04f845794cec5568a86a6,Greedy Inference Algorithms for Structured and Neural Models,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers for Robust Classification,India,India,India,20.59368400,78.96288000,edu,

+974cadd15684c96618d04f845794cec5568a86a6,Greedy Inference Algorithms for Structured and Neural Models,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 975af82c9ce82a1fad760d58ba0a661217689aa9,Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 97dbcc592ed048db545c6e9ed1f27372e8d1d4b8,Omnidirectional Gait Identification by Tilt Normalization and Azimuth View Transformation,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 9716416a15e79a36e3481bcdad79cdc905603e6d,Gaussian Word Embedding with a Wasserstein Distance Loss,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 9716416a15e79a36e3481bcdad79cdc905603e6d,Gaussian Word Embedding with a Wasserstein Distance Loss,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+9716416a15e79a36e3481bcdad79cdc905603e6d,Gaussian Word Embedding with a Wasserstein Distance Loss,China,China,China,35.86166000,104.19539700,edu,

+97d1d561362a8b6beb0fdbee28f3862fb48f1380,Age Synthesis and Estimation via Faces: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9726b40319f98a272af3a65b031f5736d23fccba,Particle dynamics and multi-channel feature dictionaries for robust visual tracking,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 97711a255ead64265fe3736ce8a2392ef5c75ff0,Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 97b3185d948c45a00a190ce0a26abd23e77c9edf,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 97b930a4fa4670a609b6ee8811409090fe55b313,Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 97b930a4fa4670a609b6ee8811409090fe55b313,Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 97429525089ca6bf3b4571274667c92a1677b7d9,DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+978d9a5251028da5a23fd0aed8234ed22b4918c5,Reduced Eigen Space Dimensionality for Fast Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+978d9a5251028da5a23fd0aed8234ed22b4918c5,Reduced Eigen Space Dimensionality for Fast Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 970b4d2ed1249af97cdf2fffdc7b4beae458db89,HMDB: A large video database for human motion recognition,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 970b4d2ed1249af97cdf2fffdc7b4beae458db89,HMDB: A large video database for human motion recognition,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,China,China,China,35.86166000,104.19539700,edu,

+974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,China,China,China,35.86166000,104.19539700,edu,

 974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 977bedd692c240c162481ef769b31e0f5455469a,A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+977bedd692c240c162481ef769b31e0f5455469a,A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model,China,China,China,35.86166000,104.19539700,edu,

+97ee35db6b389a7bcc4b7975d12dbcd165226aad,Structured Learning of Human Interactions in TV Shows,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+97ee35db6b389a7bcc4b7975d12dbcd165226aad,Structured Learning of Human Interactions in TV Shows,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+972ef9ddd9059079bdec17abc8b33039ed25c99c,Novel on understanding How IRIS Recognition works,India,India,India,20.59368400,78.96288000,edu,

+972ef9ddd9059079bdec17abc8b33039ed25c99c,Novel on understanding How IRIS Recognition works,India,India,India,20.59368400,78.96288000,edu,

 97ffadd639eb27d73b86fd5520d9d6b81772b891,Deep Generative Models for Distribution-Preserving Lossy Compression,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

-97304c55262bbd9354aa78d2f52eb73d0a13c9ff,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+97304c55262bbd9354aa78d2f52eb73d0a13c9ff,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 97137d5154a9f22a5d9ecc32e8e2b95d07a5a571,Facial expression recognition based on local region specific features and support vector machines,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu,

 97295e92dfe49f37de65c5130097ccab84cfe2f7,Inner Space Preserving Generative Pose Machine,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+97d811ae99bcbcf9f63c2f447041ab6d74a20b1e,Face recognition using truncated transform domain feature extraction,India,India,India,20.59368400,78.96288000,edu,

 97463b5a0fef72a576367f55d46aa3eb7576ae01,Methodical Analysis of Western-Caucasian and East-Asian Basic Facial Expressions of Emotions Based on Specific Facial Regions,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 976e0264bb57786952a987d4456850e274714fb8,Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 977beecdf0b5c3487d03738cff501c79770f0858,"Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training",Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

@@ -10767,6 +13276,7 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 97e569159d5658760eb00ca9cb662e6882d2ab0e,Correlation Filters for Object Alignment,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,

 97e569159d5658760eb00ca9cb662e6882d2ab0e,Correlation Filters for Object Alignment,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,

 97f665219a42faa8e625625257cc35f5dcbaf0ba,Multi-View Pose and Facial Expression Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+97b54703c267deef8c86ab6240c24d76a59864e7,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9758f3fd94239a8d974217fe12599f88fb413f3d,UC-HCC Submission to Thumos 2014,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

 97930609f1a5066fd437ed8a4e57abbfb1ae4b12,Best Practices in Testing and Reporting Performance of Biometric Devices Produced for the Biometrics Working Group By,San Jose State University,San Jose State University,"SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San José, Santa Clara County, California, 95113, USA",37.33519080,-121.88126008,edu,

 9785429538389146c8061ec856e74e957a246f2d,DARI: distance metric and representation integration for person verification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

@@ -10782,8 +13292,11 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 5d2a01e3a445a92ecdce5f20656fd87e65982708,Learning Convolutional Feature Hierarchies for Visual Recognition,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 5d28a54b1b27280482463df85bb66bc2914ff893,Multi-Object Tracking with Correlation Filter for Autonomous Vehicle,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 5d5533b8b95f25f63e07786cf3e063c8db356f1f,Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-dyn Database Validation,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu,

+5d5533b8b95f25f63e07786cf3e063c8db356f1f,Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-dyn Database Validation,China,China,China,35.86166000,104.19539700,edu,

 5dd496e58cfedfc11b4b43c4ffe44ac72493bf55,Discriminative convolutional Fisher vector network for action recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+5db075a308350c083c3fa6722af4c9765c4b8fef,The Novel Method of Moving Target Tracking Eyes Location based on SIFT Feature Matching and Gabor Wavelet Algorithm,China,China,China,35.86166000,104.19539700,edu,

 5da8e841871e4a97534d981ee20002b183b45508,BSN: Boundary Sensitive Network for Temporal Action Proposal Generation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+5da8e841871e4a97534d981ee20002b183b45508,BSN: Boundary Sensitive Network for Temporal Action Proposal Generation,China,China,China,35.86166000,104.19539700,edu,

 5d2b396447fae5a64cbe6b5ef5e99ca2b88c2914,Vehicle Re-Identification with the Space-Time Prior,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 5d7f52a7d9814688c13b84ab35526fc9bf57d1bf,Large-Scale Category Structure Aware Image Categorization,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,

 5d7f52a7d9814688c13b84ab35526fc9bf57d1bf,Large-Scale Category Structure Aware Image Categorization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -10803,6 +13316,7 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 5d56587ee5652fc9bd7e3bdf5a533b4f627b6487,A Graph-Based Algorithm for Supervised Image Classification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8,Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 5d2d797ee4053dada784639d7462abbfb2220031,Guided Open Vocabulary Image Captioning with Constrained Beam Search,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+5d2d797ee4053dada784639d7462abbfb2220031,Guided Open Vocabulary Image Captioning with Constrained Beam Search,Macquarie University,"Macquarie University, Sydney, Australia","Balaclava Rd, Macquarie Park NSW 2109, Australia",-33.77382370,151.11264980,edu,

 5dc7c33475b545271d1de726fd88bb68dfb7e11b,Generating Video Description using RNN with Semantic Attention,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 5dc7c33475b545271d1de726fd88bb68dfb7e11b,Generating Video Description using RNN with Semantic Attention,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 5d1c4e93e32ee686234c5aae7f38025523993c8c,Towards Pose Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -10815,15 +13329,22 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 5d3b6c9a0a8b71b875a565f5cd133d83817fdc38,3D facial expression recognition based on automatically selected features,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 5d58d4164493924906231a28153e50342fdf1198,Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 5d58d4164493924906231a28153e50342fdf1198,Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu,

+5d7395085f2636dd2b6262bc7f3fef14058f4765,Regularizing Deep Networks by Modeling and Predicting Label Structure,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

+5da53a17165fcc64e8fb6e9ca532bfb6d95ff622,RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5da9a5367bd70c004ad9b7e8cee95059490e33fc,The TUM-DLR Multimodal Earth Observation Evaluation Benchmark,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 5d88702cdc879396b8b2cc674e233895de99666b,Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 5d88702cdc879396b8b2cc674e233895de99666b,Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition,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,

 5dc52c64991c655a12936867594326cf6352eb8e,Constructing Local Binary Pattern Statistics by Soft Voting,University of Oulu,University 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,

 7ab90189c9c66298c900fde3de4c8d77fd035d80,Long-Term On-Board Prediction of Pedestrians in Traffic Scenes,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+7a2d1ab82eacbc92ec4cedbf2d7432bf0194c6df,Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique : A Review,India,India,India,20.59368400,78.96288000,edu,

 7ab02556d18d116228a964e38b7f454cf9f2b189,Findings of the E2E NLG Challenge,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

+7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,India,India,India,20.59368400,78.96288000,edu,

+7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,India,India,India,20.59368400,78.96288000,edu,

+7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,India,India,India,20.59368400,78.96288000,edu,

 7a6bacdbc04d06842dd68d27b9f065f472b5aa1f,Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu,

 7a131fafa7058fb75fdca32d0529bc7cb50429bd,Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 7a3d46f32f680144fd2ba261681b43b86b702b85,Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

+7a3d46f32f680144fd2ba261681b43b86b702b85,Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification,China,China,China,35.86166000,104.19539700,edu,

 7a3d46f32f680144fd2ba261681b43b86b702b85,Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 7a84368ebb1a20cc0882237a4947efc81c56c0c0,Robust and efficient parametric face alignment,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,

 7a84368ebb1a20cc0882237a4947efc81c56c0c0,Robust and efficient parametric face alignment,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

@@ -10836,9 +13357,11 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 7af15295224c3ad69d56f17ff635763dd008a8a4,Learning Support Vectors for Face Authentication : Sensitivity to Mis-Registrations,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 7a7f2403e3cc7207e76475e8f27a501c21320a44,Emotion recognition from multi-modal information,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu,

 7a76c45fdaaa2756233d00b4b1f2e3a580df9870,Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+7a76c45fdaaa2756233d00b4b1f2e3a580df9870,Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines,China,China,China,35.86166000,104.19539700,edu,

 7a1ce696e260899688cb705f243adf73c679f0d9,Predicting Missing Demographic Information in Biometric Records Using Label Propagation Techniques,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 7a1ce696e260899688cb705f243adf73c679f0d9,Predicting Missing Demographic Information in Biometric Records Using Label Propagation Techniques,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 7a65fc9e78eff3ab6062707deaadde024d2fad40,A Study on Apparent Age Estimation,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

+7a65fc9e78eff3ab6062707deaadde024d2fad40,A Study on Apparent Age Estimation,China,China,China,35.86166000,104.19539700,edu,

 7a7b386385ec5a458c6d45f58c399941c2f054d6,3D Model-Based Face Recognition in Video,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 7a00365f9c7bced9ce47246794932f60564cb662,Converging evidence of configural processing of faces in high-functioning adults with autism spectrum disorders,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu,

 7a6e3afd6c52304f36bdc7da9f65b8ab44362aa4,UNICITY : A depth maps database for people detection in security airlocks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

@@ -10846,14 +13369,24 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 7acd36ba0b59849d49bfc01cef11d18d2bcad76f,Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 7a4ea124a971bdda4acea4b539092d4d22c0e169,Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu,

 7a7b84b8d8c1edb07f16180ef2c243ef30d85e1d,TrustZone-Assisted Facial Authentication on Smartphone,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+7a39a3ca168dfebb2e2d55b3fca0f750b32896da,BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 7a39a3ca168dfebb2e2d55b3fca0f750b32896da,BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+7a39a3ca168dfebb2e2d55b3fca0f750b32896da,BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

+7a8ba1a6c90b56ae0a98fe43d015ab0f2a73912e,A Vision-Based Hybrid Method for Eye Detection and Tracking,China,China,China,35.86166000,104.19539700,edu,

 7acbc7edfeee7c3a19b6f204e1c290172150db5c,On the Effects of Illumination Normalization with LBP-Based Watchlist Screening,University of Oulu,University 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,

+7a3676dcf55e22c7249eac7615174309617c8246,Joint Feature Learning With Robust Local Ternary Pattern for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+7a3676dcf55e22c7249eac7615174309617c8246,Joint Feature Learning With Robust Local Ternary Pattern for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+7a7db5a1325844b62d2ecf8489872c8f515f1c37,Nuclear Norm-Based 2-DPCA for Extracting Features From Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7ac25c5391251611696d16e677bd71040d80d583,Person Re-Identification by Saliency Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7ac25c5391251611696d16e677bd71040d80d583,Person Re-Identification by Saliency Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7a923514c02872e9118b49f81d52f750a2c209a6,End-to-End Learning of Energy-Constrained Deep Neural Networks,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 7a04b5db3f589ac857b51effa1be3eae7fa8dd4e,Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: dipole source analysis of event-related potentials.,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 7a04b5db3f589ac857b51effa1be3eae7fa8dd4e,Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: dipole source analysis of event-related potentials.,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 7a04b5db3f589ac857b51effa1be3eae7fa8dd4e,Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: dipole source analysis of event-related potentials.,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 7ae8bca039d0d3de01001c3cd587f1961c4bbe22,Learning Visual Symbols for Parsing Human Poses in Images,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+7ae8bca039d0d3de01001c3cd587f1961c4bbe22,Learning Visual Symbols for Parsing Human Poses in Images,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 7a596f0c23f4368f6a3856df6cc652f1988c5d3f,Combining background subtraction and temporal persistency in pedestrian detection from static videos,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+7a596f0c23f4368f6a3856df6cc652f1988c5d3f,Combining background subtraction and temporal persistency in pedestrian detection from static videos,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 7af8fa8897c6f1ec1e7f9eadb01f74b48c185588,Improving Global Multi-target Tracking with Local Updates,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 7af8fa8897c6f1ec1e7f9eadb01f74b48c185588,Improving Global Multi-target Tracking with Local Updates,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 7add83ab4ec0e856d88f6e76ea4f585e80def1fa,People re-identification in camera networks based on probabilistic color histograms,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

@@ -10873,29 +13406,44 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers
 7a8e54033d166bb5bcb2acfc89c2659b45baa6e6,Creativity: Generating Diverse Questions Using Variational Autoencoders,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 7a52eb0886892c04c6c80b78795d880a70796cb6,Perceptual distance normalization for appearance detection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 7a9890cdbb62a60ba88a515655535151b568bc44,TAEF: A cross-distance/environment face recognition method,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,

+7ad204758df6c921010d9967a5b7449dd406ea56,Deep Face Quality Assessment,India,India,India,20.59368400,78.96288000,edu,

 a9fc23d612e848250d5b675e064dba98f05ad0d9,Face Age Estimation Approach based on Deep Learning and Principle Component Analysis,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu,

 a9fc23d612e848250d5b675e064dba98f05ad0d9,Face Age Estimation Approach based on Deep Learning and Principle Component Analysis,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu,

 a9ab913cd7d2330b93e0cdab3d5fe6cc47d74513,Beyond Flickr: Not All Image Tagging Is Created Equal,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

+a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Lappeenranta University of Technology,"Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland","Yliopistonkatu 34, 53850 Lappeenranta, Finland",61.06456790,28.09324600,edu,

+a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Monash University Malaysia,Monash University Malaysia,"Monash University Malaysia, Jalan Lagoon Selatan, Kampung Lembah Kinrara, SS13, Subang Jaya, Selangor, 47500, Malaysia",3.06405715,101.60059740,edu,

 a9877bb6c56e32e3c3552e379fca67e5031ccce5,A HIERARCHICAL DYNAMIC MODEL FOR OBJECT RECOGNITION By RAKESH CHALASANI A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA,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,

+a996492cad4ee17945f6b8ba06ae87cf38223242,Memetic Approach for Matching Sketches with Digital Face Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a9e99d6efadcf5d8f67949c5fd4e1f1c024868de,Human Action Recognition in Still Images using Bag of Latent Poselets,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 a941a3e8299fb7897fbba7467a52d14e13e7a706,Exploring Human-Like Attention Supervision in Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 a941a3e8299fb7897fbba7467a52d14e13e7a706,Exploring Human-Like Attention Supervision in Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 a941a3e8299fb7897fbba7467a52d14e13e7a706,Exploring Human-Like Attention Supervision in Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

-a9f652787e5669168c7b8f632c3a343dfbaa6f4b,Mining Spatial and Spatio-Temporal ROIs for Action Recognition,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+a9ebeca46445b8af728118b05e56d95d4985000c,Restricted Isometry Property of Subspace Projection Matrix Under Random Compression,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+a9f652787e5669168c7b8f632c3a343dfbaa6f4b,Mining Spatial and Spatio-Temporal ROIs for Action Recognition,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+a969efee78149357ec109c1de2238a0cc670858a,Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+a969efee78149357ec109c1de2238a0cc670858a,Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a9607714002b5debc0cf7b96a3def0cc6a005198,Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

 a9607714002b5debc0cf7b96a3def0cc6a005198,Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning,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,

 a93ddf304502fa9ca151d61f512e5682b5364d9f,Object classification and localization with spatially localized features,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+a955033ca6716bf9957b362b77092592461664b4,Video Based Face Recognition Using Artificial Neural Network,India,India,India,20.59368400,78.96288000,edu,

+a955033ca6716bf9957b362b77092592461664b4,Video Based Face Recognition Using Artificial Neural Network,India,India,India,20.59368400,78.96288000,edu,

 a9be20954e9177d8b2bc39747acdea4f5496f394,Event-Specific Image Importance,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 a910f0468ffaf85aad72c96a7214565945cd2819,Learning Comment Generation by Leveraging User-Generated Data,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1,CNNs for Face Detection and Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1,CNNs for Face Detection and Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1,CNNs for Face Detection and Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+a99cf14afb556187233f772fa9bf561d7cf0c088,A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu,

+a99cf14afb556187233f772fa9bf561d7cf0c088,A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu,

 a9e0e667537c9059b3050a64d22b8fe86787d913,"Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar",Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 a9e0e667537c9059b3050a64d22b8fe86787d913,"Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar",Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 a9c0d70ee98e77916f6cc6714e599040cca4d7ae,Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 a9c0d70ee98e77916f6cc6714e599040cca4d7ae,Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 a94cae786d515d3450d48267e12ca954aab791c4,YawDD: a yawning detection dataset,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

+a93ecf7b9780989c709714dde0f93f4d81eea640,Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose,India,India,India,20.59368400,78.96288000,edu,

+a93ecf7b9780989c709714dde0f93f4d81eea640,Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose,India,India,India,20.59368400,78.96288000,edu,

 a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c,VizWiz Grand Challenge: Answering Visual Questions from Blind People,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 a947448d1db19d99abe6de2f6b6d67804786a8b1,Unsupervised Triplet Hashing for Fast Image Retrieval,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 a98b63516c7d45eadf8cf4045ea114918eb3b636,Selective Refinement Network for High Performance Face Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -10912,12 +13460,19 @@ a9cad1a4f13f77dad9d989c4f146b2176e4eceaf,3D Point Cloud Learning for Large-scale
 a91c74e3bdbc560653e25fdb02d337a8d20186f4,Multiple Human Tracking in RGB-D Data: A Survey,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

 a95436fd5888b81441daad9d3194bca7a9568efe,Fit for Purpose? Predicting Perception Performance Based on Past Experience,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 a90e6751ae32cb2983891ef2216293311cd6a8e9,Clustering using Ensemble Clustering Technique,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

+a90e6751ae32cb2983891ef2216293311cd6a8e9,Clustering using Ensemble Clustering Technique,China,China,China,35.86166000,104.19539700,edu,

 a96c3b0e4ba2949053a9e1e00751b76ef5b05816,Object Recognition with Hidden Attributes,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

 a9721f9680bb21a0849a912ed24eec9ba50def9e,Benchmarking face tracking,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 a9ae68734f2a8116917f75a02dc9c1f432b6c8eb,HUMAN POSE ESTIMATION FROM A SINGLE VIEW POINT by Matheen Siddiqui A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY,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,

+a96b6e645a8d3eb8efc7358a852cbfbaa32ae245,Small Group Detection in Crowds using Interaction Information,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a96b6e645a8d3eb8efc7358a852cbfbaa32ae245,Small Group Detection in Crowds using Interaction Information,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 df31e9c882dfb3ea5a3abe3b139ceacb1d90a302,DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+df8da144a695269e159fb0120bf5355a558f4b02,Face Recognition using PCA and Eigen Face Approach,India,India,India,20.59368400,78.96288000,edu,

 dfe31177d3722f23433434808aa2d943d14a5157,Occlusion Invariant Face Recognition Using Selective LNMF Basis Images,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+df80fed59ffdf751a20af317f265848fe6bfb9c9,Learning Deep Sharable and Structural Detectors for Face Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dfdcd8c7c91813ba1624c9a21d2d01ef06a49afd,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 df8717e1153c48e457ea5ace1aa97c30ee7374bb,RenderNet: A deep convolutional network for differentiable rendering from 3D shapes,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 df8717e1153c48e457ea5ace1aa97c30ee7374bb,RenderNet: A deep convolutional network for differentiable rendering from 3D shapes,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

@@ -10927,17 +13482,20 @@ df71a00071d5a949f9c31371c2e5ee8b478e7dc8,Using opportunistic face logging from s
 df71a00071d5a949f9c31371c2e5ee8b478e7dc8,Using opportunistic face logging from smartphone to infer mental health: challenges and future directions,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 df350766b53d4db23790a0408b0d2c7a185cff74,Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation,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,

 df350766b53d4db23790a0408b0d2c7a185cff74,Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation,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,

+dfd2a3cfb8250ff39de498105d3f31122f314811,Content Based Image Retrieval of Corel Images Along With Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+dfd2a3cfb8250ff39de498105d3f31122f314811,Content Based Image Retrieval of Corel Images Along With Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 df7e3f5cb90230f6bed1473c4984f336b56615c8,A Multi-Stage Approach to Facial Feature Detection,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb,SREFI: Synthesis of realistic example face images,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 dfe823d9851d222f299ad26283c7de4b4a3941e8,Kernel Fisher Discriminant Analysis in Full Eigenspace,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 df8a4d17bd48cd9c9f1e74396fa95cdf3381012b,Distinct Neurophysiological Mechanisms Support the Online Formation of Individual and Across-Episode Memory Representations.,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 df8a4d17bd48cd9c9f1e74396fa95cdf3381012b,Distinct Neurophysiological Mechanisms Support the Online Formation of Individual and Across-Episode Memory Representations.,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 df9269657505fcdc1e10cf45bbb8e325678a40f5,Open-Domain Audio-Visual Speech Recognition: A Deep Learning Approach,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,

+df51dfe55912d30fc2f792561e9e0c2b43179089,Face Hallucination Using Linear Models of Coupled Sparse Support,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 df7312cbabb7d75d915ba0d91dea77100ded5c56,Preliminary Studies on a Large Face Database,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 df7312cbabb7d75d915ba0d91dea77100ded5c56,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,

 df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

-df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 df0e280cae018cebd5b16ad701ad101265c369fa,Deep Attributes from Context-Aware Regional Neural Codes,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 df0e280cae018cebd5b16ad701ad101265c369fa,Deep Attributes from Context-Aware Regional Neural Codes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 df724040bf460858b3e325fab0a4dd3374a647a7,Capsules for Object Segmentation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

@@ -10945,6 +13503,7 @@ df724040bf460858b3e325fab0a4dd3374a647a7,Capsules for Object Segmentation,Univer
 df3c2ac15c71b6cdc07f4268ee83d4fc1984545f,Random field topic model for semantic region analysis in crowded scenes from tracklets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 df3c2ac15c71b6cdc07f4268ee83d4fc1984545f,Random field topic model for semantic region analysis in crowded scenes from tracklets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 df3c2ac15c71b6cdc07f4268ee83d4fc1984545f,Random field topic model for semantic region analysis in crowded scenes from tracklets,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+dfee9e83ccf015a3835c399beda5d57d49d25d04,Road side video surveillance in traffic scenes using mapreduce framework for accident analysis,India,India,India,20.59368400,78.96288000,edu,

 dfbf941adeea19f5dff4a70a466ddd1b77f3b727,Models for supervised learning in sequence data,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 df9a016950ffaaa8526e7332f0a6568ad43d054f,A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 df9491cc46eacf66bb963a699b73ec1a82aec4eb,Learning Attributes from the Crowdsourced Relative Labels,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

@@ -10953,8 +13512,11 @@ dfe5849fc844bd7b747b3ecbe0f28ffb7e6ee917,Semantically Consistent Image Completio
 df969647a0ee9ea25b23589f44be5240b5097236,How robust is familiar face recognition? A repeat detection study of more than 1000 faces,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu,

 df969647a0ee9ea25b23589f44be5240b5097236,How robust is familiar face recognition? A repeat detection study of more than 1000 faces,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 dfd8602820c0e94b624d02f2e10ce6c798193a25,Structured Analysis Dictionary Learning for Image Classification,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

+dfaa547451aae219cd2ca7a761e6c16c1e1d0add,Representation Learning by Rotating Your Faces,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 df2841a1d2a21a0fc6f14fe53b6124519f3812f9,Learning Image Attributes using the Indian Buffet Process,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 df2841a1d2a21a0fc6f14fe53b6124519f3812f9,Learning Image Attributes using the Indian Buffet Process,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+dfb342327c5e883d21a1f91cd283b36dbc2a3661,Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+dfb342327c5e883d21a1f91cd283b36dbc2a3661,Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dfd72b994765a1979c6872fc8948657885a31752,Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 dfd72b994765a1979c6872fc8948657885a31752,Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 df58cf3fe7502a91a7d319be11680ee5b1c78e6d,Eye Detection and Gaze Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -10965,20 +13527,32 @@ df8341b479434721d3738cc672cf976c080ab7e2,Learning Deep Networks from Noisy Label
 dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f,Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f,Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,China,China,China,35.86166000,104.19539700,edu,

+ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,China,China,China,35.86166000,104.19539700,edu,

+ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,China,China,China,35.86166000,104.19539700,edu,

 cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,"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,

 cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu,

+ca8b529e389381c8b51ddf83788b7a3eafb8f859,Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ca54d0a128b96b150baef392bf7e498793a6371f,Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 ca8c3c616b757b77eba6d8689d5f1ca57d6b81ca,A model for full local image interpretation,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 ca8c3c616b757b77eba6d8689d5f1ca57d6b81ca,A model for full local image interpretation,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 caa9927fbf2c83d3e3c086d890a263ed6c421d0c,Towards High-Definition 3D Urban Mapping: Road Feature-Based Registration of Mobile Mapping Systems and Aerial Imagery,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 caa9927fbf2c83d3e3c086d890a263ed6c421d0c,Towards High-Definition 3D Urban Mapping: Road Feature-Based Registration of Mobile Mapping Systems and Aerial Imagery,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

-ca6b78e3d12134e12305fa4bcdf050ac102781df,OCNet: Object Context Network for Scene Parsing,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-caf912b716905ccbf46d6d00d6a0b622834a7cd9,Measuring Machine Intelligence Through Visual Question Answering,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ca1db9dc493a045e3fadf8d8209eaa4311bbdc70,Effective Image Retrieval via Multilinear Multi-index Fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+ca6b78e3d12134e12305fa4bcdf050ac102781df,OCNet: Object Context Network for Scene Parsing,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+caf912b716905ccbf46d6d00d6a0b622834a7cd9,Measuring Machine Intelligence Through Visual Question Answering,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 cada850299f0aa71ecd9b37a2496802ad8d48455,Cost-effective conceptual design using taxonomies,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 cada850299f0aa71ecd9b37a2496802ad8d48455,Cost-effective conceptual design using taxonomies,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 caa2ded6d8d5de97c824d29b0c7a18d220c596c8,Learning to Segment Breast Biopsy Whole Slide Images,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 caa2ded6d8d5de97c824d29b0c7a18d220c596c8,Learning to Segment Breast Biopsy Whole Slide Images,University of Vermont,University of Vermont,"University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA",44.48116865,-73.20021790,edu,

+ca05fadeb6e0d3414fd21870320545be4582e408,Deep Part-Based Generative Shape Model with Latent Variables,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+ca05fadeb6e0d3414fd21870320545be4582e408,Deep Part-Based Generative Shape Model with Latent Variables,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+ca50d76d065b22bf40d8144729f89e36e732e046,Robust Face Recognition and Impostors Detection with Partial Occlusion and Small Number of Training Samples ⋆,China,China,China,35.86166000,104.19539700,edu,

+cac24ea3b301c4aba0f84470b175198c10d03199,Study of the Changing Trends in Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

+cac24ea3b301c4aba0f84470b175198c10d03199,Study of the Changing Trends in Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

 cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

@@ -10986,8 +13560,9 @@ cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based
 cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 ca8c296c5c74d351d866ac317d9680626b0bc6a7,LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 ca0823ea938736ec3286a5fd3bbc0b3d830b4fb5,Semantic Amodal Segmentation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+ca5e9973a4494c608548f639eb9a391f6235d4f0,Robust RGB-D Face Recognition Using Attribute-Aware Loss,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ca1c710c14f95c3b0cf027fb068d53d595809a5c,Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

-ca1c710c14f95c3b0cf027fb068d53d595809a5c,Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ca1c710c14f95c3b0cf027fb068d53d595809a5c,Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,Kogakuin University,Kogakuin University,"工学院大学, 東通り, 新宿区, 東京都, 関東地方, 163-8677, 日本",35.69027840,139.69540096,edu,

 ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

@@ -10999,7 +13574,10 @@ ca42b7f881437976a6c60de0229ebbf31b58c3bd,Learn the Distribution ? S Ome T Heory
 ca42b7f881437976a6c60de0229ebbf31b58c3bd,Learn the Distribution ? S Ome T Heory and E Mpirics,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 ca56ac26cd7e1fdc35033228b4936bf70a090825,Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 ca11dc3a8064583aaf79061866bbcf04caece162,Disentangled Representations in Neural Models,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+cadb9a014a4c5bbec57aaf30391f472fa4b69b4d,PCA versus LDA,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 caab1c1d53718315f54bc4df42eb9a727fa18483,"Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+cab372bc3824780cce20d9dd1c22d4df39ed081a,"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+ca7f7f77a190b98b2e7173f64727de5a287059e2,Orthogonality of Diffractive Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu,

 ca7f7f77a190b98b2e7173f64727de5a287059e2,Orthogonality of Diffractive Deep Neural Networks,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 ca2e14671f5043dab985dd18e10c5e3f51e2e8be,Face Recognition by Using Elongated Local Binary Patterns with Average Maximum Distance Gradient Magnitude,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

@@ -11011,8 +13589,11 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 21bdcd9be2e9e75ec1d060d8d748a372d9ced230,Neural mechanisms in Williams syndrome: a unique window to genetic influences on cognition and behaviour,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu,

 217de4ff802d4904d3f90d2e24a29371307942fe,"POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 217de4ff802d4904d3f90d2e24a29371307942fe,"POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+21e82350472bf6a12af0f761b8dea91cb16bf42f,Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification,China,China,China,35.86166000,104.19539700,edu,

 21258aa3c48437a2831191b71cd069c05fb84cf7,A Robust and Efficient Doubly Regularized Metric Learning Approach,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,

+218603147709344d4ff66625d83603deee2854bf,Learning Deep Embeddings with Histogram Loss,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 210fd81446006bf542b595fa0743b808cb86acbf,Combining Orientational Pooling Features for Scene Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+210fd81446006bf542b595fa0743b808cb86acbf,Combining Orientational Pooling Features for Scene Recognition,China,China,China,35.86166000,104.19539700,edu,

 210fd81446006bf542b595fa0743b808cb86acbf,Combining Orientational Pooling Features for Scene Recognition,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 212211d642aa75f66f8ad3ec04da3a4cc089a5b3,Learning to Localize Little Landmarks,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 21f5652d4f88ac039c58aa530328e65a39eb7b38,Neural Processing of Facial Identity and Emotion in Infants at High-Risk for Autism Spectrum Disorders,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -11020,15 +13601,22 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 21f5652d4f88ac039c58aa530328e65a39eb7b38,Neural Processing of Facial Identity and Emotion in Infants at High-Risk for Autism Spectrum Disorders,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 21f5652d4f88ac039c58aa530328e65a39eb7b38,Neural Processing of Facial Identity and Emotion in Infants at High-Risk for Autism Spectrum Disorders,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 21dd874d7103d5c9c95b8ad52f0cbf1928b926e8,Novel Video Prediction for Large-scale Scene using Optical Flow,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+21dd874d7103d5c9c95b8ad52f0cbf1928b926e8,Novel Video Prediction for Large-scale Scene using Optical Flow,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

+21dd874d7103d5c9c95b8ad52f0cbf1928b926e8,Novel Video Prediction for Large-scale Scene using Optical Flow,China,China,China,35.86166000,104.19539700,edu,

 21c99706bb26e9012bfb4d8d48009a3d45af59b2,Neural Module Networks,"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,

+2103bb6772bf01e43a8a4e8e34f16baac7d7c331,Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 2103bb6772bf01e43a8a4e8e34f16baac7d7c331,Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+2103bb6772bf01e43a8a4e8e34f16baac7d7c331,Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 2135a3d9f4b8f5771fa5fc7c7794abf8c2840c44,Lessons from collecting a million biometric samples,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 2135a3d9f4b8f5771fa5fc7c7794abf8c2840c44,Lessons from collecting a million biometric samples,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 218982f0878a3de667fac2bb18b9f50949aefc1c,Multi-pose multi-target tracking for activity understanding,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 218982f0878a3de667fac2bb18b9f50949aefc1c,Multi-pose multi-target tracking for activity understanding,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,

+219b7b157f2a559ecdffe21c2a0edf5285931298,Deep hashing for compact binary codes learning,China,China,China,35.86166000,104.19539700,edu,

 21bebef8ced5d1e77667c667b54287782556eebc,Image processing and recognition for biological images,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 216c6d29a6f57c37ef8f26f88b6ec9be5b855a66,From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks,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,

 216c6d29a6f57c37ef8f26f88b6ec9be5b855a66,From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu,

+21f59ece2dfe0181a3c4763318fcae254e80b7db,Human Object Tracking in Video Sequences,India,India,India,20.59368400,78.96288000,edu,

+21f59ece2dfe0181a3c4763318fcae254e80b7db,Human Object Tracking in Video Sequences,India,India,India,20.59368400,78.96288000,edu,

 21358489b5ce0e94ff37792a8a5eea198e7272f3,Face Inpainting with Local Linear Representations,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,

 212ffbe247d3cc3cb32a12c43a74a1146e3fe18c,3D Human Pose Estimation = 2D Pose Estimation + Matching,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,

 212ffbe247d3cc3cb32a12c43a74a1146e3fe18c,3D Human Pose Estimation = 2D Pose Estimation + Matching,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,

@@ -11036,12 +13624,17 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 21a6ad72b4dddb6720e7278fcf384f9fd131bdb0,An Automatic Portrait System Based on And-Or Graph Representation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 21fa37258834c2e3f075a8465d8de1c178cdaaf5,Shape-based pedestrian parsing,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 21819624b83b40586afce41c3c9ae7abf6c9a2ab,A vision-grounded dataset for predicting typical locations for verbs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+21819624b83b40586afce41c3c9ae7abf6c9a2ab,A vision-grounded dataset for predicting typical locations for verbs,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu,

+214ac8196d8061981bef271b37a279526aab5024,Face Recognition Using Smoothed High-Dimensional Representation,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 214c966d1f9c2a4b66f4535d9a0d4078e63a5867,Brainwash: A Data System for Feature Engineering,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 21f990f3bb8c7dfe57f31d912fb555819f1a64bd,Randomness and sparsity induced codebook learning with application to cancer image classification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 21f990f3bb8c7dfe57f31d912fb555819f1a64bd,Randomness and sparsity induced codebook learning with application to cancer image classification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 21a2f67b21905ff6e0afa762937427e92dc5aa0b,Extra Facial Landmark Localization via Global Shape Reconstruction,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

+21a2f67b21905ff6e0afa762937427e92dc5aa0b,Extra Facial Landmark Localization via Global Shape Reconstruction,China,China,China,35.86166000,104.19539700,edu,

 217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 215f43a46ad30cf0574a2a10cd81fe7741768746,"Engineering ISSN : 2277-128 X ( Volume-8 , Issue-6 ) Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation",Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 215f43a46ad30cf0574a2a10cd81fe7741768746,"Engineering ISSN : 2277-128 X ( Volume-8 , Issue-6 ) Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation",Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 215f43a46ad30cf0574a2a10cd81fe7741768746,"Engineering ISSN : 2277-128 X ( Volume-8 , Issue-6 ) Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation",Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

@@ -11079,11 +13672,13 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 72c69a7a791ff86f84f082b73e09733bb90edfd7,Face photo retrieval by sketch example,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 72c69a7a791ff86f84f082b73e09733bb90edfd7,Face photo retrieval by sketch example,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 725c3605c2d26d113637097358cd4c08c19ff9e1,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+725c3605c2d26d113637097358cd4c08c19ff9e1,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,China,China,China,35.86166000,104.19539700,edu,

 72160aae43cd9b2c3aae5574acc0d00ea0993b9e,Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern,Stamford University Bangladesh,Stamford University Bangladesh,"Stamford University Bangladesh, Siddeshwari Road, ফকিরাপুল, Paltan, ঢাকা, ঢাকা বিভাগ, 1217, বাংলাদেশ",23.74481660,90.40843514,edu,

 72160aae43cd9b2c3aae5574acc0d00ea0993b9e,Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern,Stamford University Bangladesh,Stamford University Bangladesh,"Stamford University Bangladesh, Siddeshwari Road, ফকিরাপুল, Paltan, ঢাকা, ঢাকা বিভাগ, 1217, বাংলাদেশ",23.74481660,90.40843514,edu,

 72160aae43cd9b2c3aae5574acc0d00ea0993b9e,Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern,Stamford University Bangladesh,Stamford University Bangladesh,"Stamford University Bangladesh, Siddeshwari Road, ফকিরাপুল, Paltan, ঢাকা, ঢাকা বিভাগ, 1217, বাংলাদেশ",23.74481660,90.40843514,edu,

 729fb8d4c8afa86bedc6899bf835e32313a40176,Unveiling contrast in darkness,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573,Collective Activity Localization with Contextual Spatial Pyramid,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+72a55554b816b66a865a1ec1b4a5b17b5d3ba784,Real-Time Face Identification via CNN and Boosted Hashing Forest,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 7240aad3fa4adf65e401345c877ee58a01b76fb1,A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 7240aad3fa4adf65e401345c877ee58a01b76fb1,A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 7240aad3fa4adf65e401345c877ee58a01b76fb1,A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -11095,6 +13690,7 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 72e8010136460340683a52c2aee4edaee0b48559,Repulsion Loss: Detecting Pedestrians in a Crowd,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 72e8010136460340683a52c2aee4edaee0b48559,Repulsion Loss: Detecting Pedestrians in a Crowd,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 72e8010136460340683a52c2aee4edaee0b48559,Repulsion Loss: Detecting Pedestrians in a Crowd,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+726f76f11e904d7fcb12736c276a0b00eb5cde49,A Performance Comparison of Loss Functions for Deep Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 7249e94317ff7cb5dc39441f3473a2d4f1c1d30b,Action Attribute Detection from Sports Videos with Contextual Constraints,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 7265e367f2ac9aebe2ad8ec404da1168edf8519b,AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection.,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 72a672cd20a3b7b2a123772ac0f9a27cfe96effe,Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

@@ -11106,10 +13702,10 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 72a5e181ee8f71b0b153369963ff9bfec1c6b5b0,Expression recognition in videos using a weighted component-based feature descriptor,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 7240623efb81b04eff0d6133b159d00f7d2bfa2f,Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 72b4b8f4a9f25cac5686231b44a2220945fd2ff6,Face Verification Using Modeled Eigenspectrum,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

-7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

-7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 72edfb91e4b3d42547591be9e8c6eb07e7190499,Do Children See in Black and White? Children's and Adults' Categorizations of Multiracial Individuals.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 7224d58a7e1f02b84994b60dc3b84d9fe6941ff5,When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 7224d58a7e1f02b84994b60dc3b84d9fe6941ff5,When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -11121,10 +13717,14 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58,Where and Who? Automatic Semantic-Aware Person Composition,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 720e06688e1038026070253891037652f5d0d9f5,Chess Q & A : Question Answering on Chess Games,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,

 7291d63fd9300ee40883201c9d2c4698787d0eaf,Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

+7291d63fd9300ee40883201c9d2c4698787d0eaf,Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation,China,China,China,35.86166000,104.19539700,edu,

 7291d63fd9300ee40883201c9d2c4698787d0eaf,Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+72fb849144aea8e01f141419914cde87bb7972f3,Fuzzy Bidirectional Weighted Sum for Face Recognition,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+72fb849144aea8e01f141419914cde87bb7972f3,Fuzzy Bidirectional Weighted Sum for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 72903a6b9894f13facf46a81bd7b659740b488e5,Worldwide AI,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 72dd9ecc3a1f32d53b4aeb03ea3db14236fbcb27,Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu,

 72dd9ecc3a1f32d53b4aeb03ea3db14236fbcb27,Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu,

+725b4d2ae7de22856200d1e4511e1d697d42b37b,The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 72e14386d0ef1aa09c52e07086fc310c440db16f,Gait Analysis of Gender and Age Using a Large-Scale Multi-view Gait Database,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 72e9acdd64e71fc2084acaf177aafaa2e075bd8c,The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation,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,

 7241f97a425d5249cbba39ff9a8fdae160e9e1e6,Subspace Constrained Mean-shift,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,

@@ -11156,13 +13756,18 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 03b99f5abe0e977ff4c902412c5cb832977cf18e,Of Gods and Goats: Weakly Supervised Learning of Figurative Art,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 03264e2e2709d06059dd79582a5cc791cbef94b1,Convolutional Neural Networks for Facial Attribute-based Active Authentication On Mobile Devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 03264e2e2709d06059dd79582a5cc791cbef94b1,Convolutional Neural Networks for Facial Attribute-based Active Authentication On Mobile Devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,India,India,India,20.59368400,78.96288000,edu,

 0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

+0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,India,India,India,20.59368400,78.96288000,edu,

 0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 0324a22f71927bee2a448f800287cde562dc2726,People detection in crowded scenes by context-driven label propagation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 03d364f8545dbcf0d7240c5bb8dc39636c698ddb,Fusion of Head and Full-Body Detectors for Multi-Object Tracking,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 03184ac97ebf0724c45a29ab49f2a8ce59ac2de3,Evaluation of output embeddings for fine-grained image classification,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 03184ac97ebf0724c45a29ab49f2a8ce59ac2de3,Evaluation of output embeddings for fine-grained image classification,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 035886f58b550be140b1d4dbba0ea0479030589f,Trajectory bundle estimation For perception-driven planning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+0394acc70f58fbb6326d1fbf44e0a6da5a0345d1,Automated Recognition of Text in Images : A Survey,India,India,India,20.59368400,78.96288000,edu,

+031532cc5c4e64e02e796360a16f89580a0ba552,Nonnegative Decompositions for Dynamic Visual Data Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+031532cc5c4e64e02e796360a16f89580a0ba552,Nonnegative Decompositions for Dynamic Visual Data Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0353903b504d6246edcdc6b2c7d32e59b5c0a863,Dynamic Processing Allocation in Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 032ede597491cfbdf7424d221bd74742b6707397,Spectral Latent Variable Models for Perceptual Inference,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 032ede597491cfbdf7424d221bd74742b6707397,Spectral Latent Variable Models for Perceptual Inference,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

@@ -11175,9 +13780,15 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 03b03f5a301b2ff88ab3bb4969f54fd9a35c7271,Multi-kernel learning of deep convolutional features for action recognition,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,

 0359f7357ea8191206b9da45298902de9f054c92,Going deeper in facial expression recognition using deep neural networks,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu,

 03dba79518434ba4a937b2980fbdc8bafc048b36,The Role of Principal Angles in Subspace Classification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+03ed6f09a29fe5d0dbf6d59798f88a5311c966d3,Re-identification with RGB-D Sensors,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 03ca829e8680ab4cdabd491b3b42639c58f4cdce,A graph-based algorithm for multi-target tracking with occlusion,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

+030c8b086dc2705c87dc1b8b1633fb6e0a138eed,Bilinear Active Appearance Models,University of Malaga,University of Malaga,"Av. de Cervantes, 2, 29016 Málaga, Spain",36.71995060,-4.41609270,edu,

 030c8b086dc2705c87dc1b8b1633fb6e0a138eed,Bilinear Active Appearance Models,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

+03f7041515d8a6dcb9170763d4f6debd50202c2b,Clustering Millions of Faces by Identity,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 038554418107375d4c2f5f6f8afbc04b1f9a6afe,Fast and Robust RGB-D Scene Labeling for Autonomous Driving,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu,

+0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu,

+0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu,

+0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu,

 03baf00a3d00887dd7c828c333d4a29f3aacd5f5,Entropy Based Feature Selection for 3 D Facial Expression Recognition,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 03f98bfb129028b80ce98686c573830671ee1e3d,Examining Cooperation in Visual Dialog Models,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,

 03f98bfb129028b80ce98686c573830671ee1e3d,Examining Cooperation in Visual Dialog Models,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,

@@ -11189,6 +13800,8 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 030ef31b51bd4c8d0d8f4a9a32b80b9192fe4c3f,Inhibition-Induced Forgetting Results from Resource Competition between Response Inhibition and Memory Encoding Processes.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 030ef31b51bd4c8d0d8f4a9a32b80b9192fe4c3f,Inhibition-Induced Forgetting Results from Resource Competition between Response Inhibition and Memory Encoding Processes.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 03ea1c3f867703f840c0e65df86e09055ad6f774,Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+031d22b08d9e8235f46679b89e273ab8723d3e67,Zero-Aliasing Correlation Filters for Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+031d22b08d9e8235f46679b89e273ab8723d3e67,Zero-Aliasing Correlation Filters for Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 03eb382e04cca8cca743f7799070869954f1402a,CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 0369baf2366fca2f2afdf86efec4874dc8fad194,A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 0369baf2366fca2f2afdf86efec4874dc8fad194,A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -11198,12 +13811,14 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 03563dfaf4d2cfa397d3c12d742e9669f4e95bab,Deep learning from temporal coherence in video,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 0367d76a6651613b5663d60900061cd090c1b78f,Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 0367d76a6651613b5663d60900061cd090c1b78f,Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+0367d76a6651613b5663d60900061cd090c1b78f,Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

 032ab4966465facd284531865529b124ef173a0e,Web image prediction using multivariate point processes,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,

 032ab4966465facd284531865529b124ef173a0e,Web image prediction using multivariate point processes,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 032ab4966465facd284531865529b124ef173a0e,Web image prediction using multivariate point processes,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,

 031d4a3940011f6be69a7e24f1a04980482ee477,FastMask: Segment Multi-scale Object Candidates in One Shot,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 03d10c88aebd7aabe603d455c7bafa9231c7cf51,Hyperconnectivity of the Right Posterior Temporo-parietal Junction Predicts Social Difficulties in Boys with Autism Spectrum Disorder.,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 03d10c88aebd7aabe603d455c7bafa9231c7cf51,Hyperconnectivity of the Right Posterior Temporo-parietal Junction Predicts Social Difficulties in Boys with Autism Spectrum Disorder.,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

+03c53fb96a9acd2ec6ba52a2497410f980793bfa,Trainable Convolution Filters and Their Application to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 03ce07616628ac7c7dac92ea714313b674217811,Deep Learning of Scene-Specific Classifier for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 03ce07616628ac7c7dac92ea714313b674217811,Deep Learning of Scene-Specific Classifier for Pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 03167776e17bde31b50f294403f97ee068515578,Chapter 11 . Facial Expression Analysis,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

@@ -11213,6 +13828,8 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 032bde9da87439c781a6c81ba7933985ed95d88e,What's the point: Semantic segmentation with point supervision,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 032bde9da87439c781a6c81ba7933985ed95d88e,What's the point: Semantic segmentation with point supervision,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,

 032bde9da87439c781a6c81ba7933985ed95d88e,What's the point: Semantic segmentation with point supervision,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+034516f37171e7e6cffb8afa84c1f5d6d12d887f,Comparative Analysis of Content Based Image Retrieval using Texture Features for Plant Leaf Diseases,India,India,India,20.59368400,78.96288000,edu,

+0394e684bd0a94fc2ff09d2baef8059c2652ffb0,Median Robust Extended Local Binary Pattern for Texture Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 03c6a002268c066fd6947452533e6b316f8576a6,Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 0371b7cba37970f22040a10bd29219778dcc3947,Taming Social Tags : Computational Linguistic Analysis of Tags for Images in Museums,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 03bd58a96f635059d4bf1a3c0755213a51478f12,Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -11224,18 +13841,23 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl
 0334a8862634988cc684dacd4279c5c0d03704da,FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 033c3114f4951d338e34af67e1699ef779ab258d,Prioritization of arbitrary faces associated to self: An EEG study,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu,

 0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

-0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu,

+0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,China,China,China,35.86166000,104.19539700,edu,

+0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,China,China,China,35.86166000,104.19539700,edu,

 0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

+0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,China,China,China,35.86166000,104.19539700,edu,

 036c41d67b49e5b0a578a401eb31e5f46b3624e0,The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu,

 036c41d67b49e5b0a578a401eb31e5f46b3624e0,The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates,"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,

 0385b65a4941899340ef59f605fb3e943d62330c,Representing 3D texture on mesh manifolds for retrieval and recognition applications,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+0385b65a4941899340ef59f605fb3e943d62330c,Representing 3D texture on mesh manifolds for retrieval and recognition applications,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 03ce2ff688f9b588b6f264ca79c6857f0d80ceae,Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 0319332ded894bf1afe43f174f5aa405b49305f0,Shearlet Network-based Sparse Coding Augmented by Facial Texture Features for Face Recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

 0319332ded894bf1afe43f174f5aa405b49305f0,Shearlet Network-based Sparse Coding Augmented by Facial Texture Features for Face Recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 03a721080a69be37db3a2d56c006c60f472b419d,Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 cb3010ae04bb144b49eb0c1061b695998d3a7441,Scene Parsing with Global Context Embedding,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 cbb141925e919aef18f9168b79b4c4aeb871ccff,A Study Of Statistical Methods For Facial Shape-from-shading,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,

+cb310356d1c5f567b2a8796b708f6e1e10fa1917,Serotonin and the neural processing of facial emotions in adults with autism: an fMRI study using acute tryptophan depletion.,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+cb57352dde938353093721032f02299aafbae1fb,Efficient privacy preserving Viola-Jones type object detection via random base image representation,China,China,China,35.86166000,104.19539700,edu,

 cb57352dde938353093721032f02299aafbae1fb,Efficient privacy preserving Viola-Jones type object detection via random base image representation,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 cb57352dde938353093721032f02299aafbae1fb,Efficient privacy preserving Viola-Jones type object detection via random base image representation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 cbbd13c29d042743f0139f1e044b6bca731886d0,Not-So-CLEVR: learning same-different relations strains feedforward neural networks.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

@@ -11246,13 +13868,16 @@ cb522158aa3c91fda3089d152b0005605056852b,3D Face Recognition Using Anthropometri
 cba3061a883cdfb45c6d26fdee7dd53e6614d388,Per-patch descriptor selection using surface and scene properties,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,

 cb3f5defe2120076ebbcc89b9256bbfcb8b4d8a1,Feature Generating Networks for Zero-Shot Learning,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 cb3f5defe2120076ebbcc89b9256bbfcb8b4d8a1,Feature Generating Networks for Zero-Shot Learning,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,

+cb004e9706f12d1de83b88c209ac948b137caae0,Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 cb9057a47f6d3367a6756507ceb1b1f9b596eb7a,Fearful faces have a sensory advantage in the competition for awareness.,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 cb9057a47f6d3367a6756507ceb1b1f9b596eb7a,Fearful faces have a sensory advantage in the competition for awareness.,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 cb9057a47f6d3367a6756507ceb1b1f9b596eb7a,Fearful faces have a sensory advantage in the competition for awareness.,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 cb43519894258b125624dc0df655ab5357b1e42f,Face Aging with Contextual Generative Adversarial Nets,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+cb43519894258b125624dc0df655ab5357b1e42f,Face Aging with Contextual Generative Adversarial Nets,China,China,China,35.86166000,104.19539700,edu,

 cb43519894258b125624dc0df655ab5357b1e42f,Face Aging with Contextual Generative Adversarial Nets,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 cb2917413c9b36c3bb9739bce6c03a1a6eb619b3,MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 cb2bbc19ba323ac8a7d0530fb605462c8e608e1d,Concept Mask: Large-Scale Segmentation from Semantic Concepts,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

+cb2e10d1a6792354bc0ce24ee99ecf2142d16f9b,Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 cba130014e6cc590a09aaeca0590623b496f126b,HeteroVisor: Exploiting Resource Heterogeneity to Enhance the Elasticity of Cloud Platforms,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd,Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd,Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -11268,13 +13893,19 @@ cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544,Mouth Region Localization based on Gabo
 cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544,Mouth Region Localization based on Gabor Features and Active Appearance Models,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544,Mouth Region Localization based on Gabor Features and Active Appearance Models,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 cbc3ebf2809edcaa04e252d25f4373c924f4136b,CNN+CNN: Convolutional Decoders for Image Captioning,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+cb3ba84146d1324e1cdbde3764ca3b354ee09a2a,"On the Interplay Between Throughput, Fairness and Energy Efficiency on Asymmetric Multicore Processors",6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+cb3ba84146d1324e1cdbde3764ca3b354ee09a2a,"On the Interplay Between Throughput, Fairness and Energy Efficiency on Asymmetric Multicore Processors",9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 cb985b696085fdfdc664c74114b841d58382397c,Recurrent Scene Parsing with Perspective Understanding in the Loop,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

+cb08f679f2cb29c7aa972d66fe9e9996c8dfae00,Action Understanding with Multiple Classes of Actors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 cbe1a5b67c1d19aa1fca10473c6e88b4a444f77b,MCGraph: multi-criterion representation for scene understanding,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 cb1e34d7fcb7fae914fcb65cb9cf25199d49cec9,SLAQ: quality-driven scheduling for distributed machine learning,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 cb5ea214f4a3ddd50e821efea003340a8036408c,Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism,Huaqiao University,Huaqiao University,"华侨大学站 HuaQiao University (BRT), 集美大道, 集美区, 集美区 (Jimei), 厦门市 / Xiamen, 福建省, 361024, 中国",24.60047120,118.08165740,edu,

 cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,India,India,India,20.59368400,78.96288000,edu,

 cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,India,India,India,20.59368400,78.96288000,edu,

 cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,India,India,India,20.59368400,78.96288000,edu,

 cb1b5e8b35609e470ce519303915236b907b13b6,On the vulnerability of ECG verification to online presentation attacks,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu,

 cb1b5e8b35609e470ce519303915236b907b13b6,On the vulnerability of ECG verification to online presentation attacks,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,

 cb0c9a9882d8c3ef86cc8747b6ff8d68579dec61,Computer-Aided Detection of Acinar Shadows in Chest Radiographs,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

@@ -11282,11 +13913,14 @@ cb0c9a9882d8c3ef86cc8747b6ff8d68579dec61,Computer-Aided Detection of Acinar Shad
 cb0c9a9882d8c3ef86cc8747b6ff8d68579dec61,Computer-Aided Detection of Acinar Shadows in Chest Radiographs,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 cba45a87fc6cf12b3b0b6f57ba1a5282ef7fee7a,"Emotion AI , Real-Time Emotion Detection using CNN",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 cba45a87fc6cf12b3b0b6f57ba1a5282ef7fee7a,"Emotion AI , Real-Time Emotion Detection using CNN",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+cb53c8a85d58ccb2635be5b7ff978ea6e8b78cde,Face Recognition Based on Wavelet Transform and Regional Directional Weighted Local Binary Pattern,China,China,China,35.86166000,104.19539700,edu,

+cbd20c2199062724eee841016f1575cb7d5309b4,Dropout training for SVMs with data augmentation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 cb05bb5397e077aff7bac3ee26eaabed2779e914,Deep Learning based Vehicle Detection in Aerial Imagery,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 cba8b9949e71ff485a4ecba33128e2f206651cac,An RGBD segmentation model for robot vision learned from synthetic data,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 cb5dcd048b0eaa78a887a014be26a8a7b1325d36,Joint Learning of Set Cardinality and State Distribution,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 a8dbc8284e3abe08ffdc08019b7d04a056a101f7,Asymmetry Patterns Shape Contexts to Describe the 3D Geometry of Craniofacial Landmarks,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 a80355dcee5156b064e31b39c6b72037044ed87c,L-Tree: A Local-Area-Learning-Based Tree Induction Algorithm for Image Classification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

+a8583e80a455507a0f146143abeb35e769d25e4e,A DISTANCE-ACCURACY HYBRID WEIGHTED VOTING SCHEME FOR PARTIAL FACE RECOGNITION,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 a8583e80a455507a0f146143abeb35e769d25e4e,A DISTANCE-ACCURACY HYBRID WEIGHTED VOTING SCHEME FOR PARTIAL FACE RECOGNITION,Feng Chia University,Feng Chia University,"逢甲大學, 100, 文華路, 西平里, 西屯區, 臺中市, 40724, 臺灣",24.18005755,120.64836072,edu,

 a8583e80a455507a0f146143abeb35e769d25e4e,A DISTANCE-ACCURACY HYBRID WEIGHTED VOTING SCHEME FOR PARTIAL FACE RECOGNITION,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu,

 a8fa12c662447903fbb751eaa967f861ea33abff,"Finding People Using Scale, Rotation and Articulation Invariant Matching",Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu,

@@ -11308,8 +13942,8 @@ a8e2c7738913529b315a4f40375fff957f4c6cac,Nonparametric Facial Feature Localizati
 a8e2c7738913529b315a4f40375fff957f4c6cac,Nonparametric Facial Feature Localization Using Segment-Based Eigenfeatures,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

-a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 a896ddeb0d253739c9aaef7fc1f170a2ba8407d3,SSH: Single Stage Headless Face Detector,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 a84eb23638faaabf7f156c080894802385957f25,Coarse-to-fine Depth Estimation from a Single Image via Coupled Regression and Dictionary Learning,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

@@ -11318,10 +13952,12 @@ a8ef9a39e68bbc7f6f25a8155cab52aab6708886,Generative Compression,MIT,Massachusett
 a84f80ca4e29b49cab1035ed8c7877caf2dbe914,Effects of Facial Symmetry and Gaze Direction on Perception of Social Attributes: A Study in Experimental Art History,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

 a84f80ca4e29b49cab1035ed8c7877caf2dbe914,Effects of Facial Symmetry and Gaze Direction on Perception of Social Attributes: A Study in Experimental Art History,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 a84c039818d2abeba21f792c0522e9f75582518e,Prototypical Priors: From Improving Classification to Zero-Shot Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+a84c039818d2abeba21f792c0522e9f75582518e,Prototypical Priors: From Improving Classification to Zero-Shot Learning,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,"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,

-a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 a87bc818f7409ac97c8719aa8fae2c40d214ebbc,Deep Computational Phenotyping,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,

+a84032e66db042a57722b4a3bc7301ebe567fb8b,A Face Recognition Technique using Principal Component Analysis,India,India,India,20.59368400,78.96288000,edu,

 a8748a79e8d37e395354ba7a8b3038468cb37e1f,Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 a8748a79e8d37e395354ba7a8b3038468cb37e1f,Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 a838a1184cb9ca86ae910509bb318266101ae656,Question Relevance in Visual Question Answering,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,

@@ -11329,26 +13965,44 @@ a838a1184cb9ca86ae910509bb318266101ae656,Question Relevance in Visual Question A
 a838a1184cb9ca86ae910509bb318266101ae656,Question Relevance in Visual Question Answering,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,

 a89eae439dfa7cb727bd5193a5130ae6afcd42e8,On recognizing actions in still images via multiple features,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 a89eae439dfa7cb727bd5193a5130ae6afcd42e8,On recognizing actions in still images via multiple features,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu,

+a864f8cb78958d2b5674e0a68f7e5d7afb4110d8,Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition,China,China,China,35.86166000,104.19539700,edu,

 a864f8cb78958d2b5674e0a68f7e5d7afb4110d8,Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu,

 a864f8cb78958d2b5674e0a68f7e5d7afb4110d8,Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu,

 a86b1198a2d6dfe57e87a5acc33a747a69d1fdfe,When saliency meets sentiment: Understanding how image content invokes emotion and sentiment,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

+a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,India,India,India,20.59368400,78.96288000,edu,

+a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,India,India,India,20.59368400,78.96288000,edu,

+a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,India,India,India,20.59368400,78.96288000,edu,

 a826646a8e4e8a746111d3a6915c8f0fcfcc3a00,Scheduling multithreaded applications onto heterogeneous composite cores architecture,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu,

+a826646a8e4e8a746111d3a6915c8f0fcfcc3a00,Scheduling multithreaded applications onto heterogeneous composite cores architecture,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 a86ea8041bcc91097a8bbb450cb94a616ee85ae6,Diverse and Coherent Paragraph Generation from Images,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 a8035ca71af8cc68b3e0ac9190a89fed50c92332,IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild,Indian Institute of Technology Sri City,"IIIT Chittoor, Sri City, India","630 Gnan Marg, Sri City, Andhra Pradesh 517646, India",13.55681710,80.02612830,edu,

+a8035ca71af8cc68b3e0ac9190a89fed50c92332,IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu,

+a8117a4733cce9148c35fb6888962f665ae65b1e,A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a812368fe1d4a186322bf72a6d07e1cf60067234,Gaussian processes for modeling of facial expressions,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,

 a8fd9be2f7775b123f62094eadd59d18bbbef027,Peephole: Predicting Network Performance Before Training,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 a8fd9be2f7775b123f62094eadd59d18bbbef027,Peephole: Predicting Network Performance Before Training,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 a8fd9be2f7775b123f62094eadd59d18bbbef027,Peephole: Predicting Network Performance Before Training,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 a84934a2db769b7523399c8eaf6d2d7582415c5c,Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses,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,

 a84934a2db769b7523399c8eaf6d2d7582415c5c,Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses,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,

+a843bc90343ceeb25b59f6e54de3663e363f5fd3,Learning to predict where to look in interactive environments using deep recurrent q-learning,National University of Ireland,"National University of Ireland, Galway","University Rd, Galway, Ireland",53.27702430,-9.06148640,edu,

+a8e75978a5335fd3deb04572bb6ca43dbfad4738,Sparse graphical representation based discriminant analysis for heterogeneous face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a87e37d43d4c47bef8992ace408de0f872739efc,A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 a87e37d43d4c47bef8992ace408de0f872739efc,A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 a803453edd2b4a85b29da74dcc551b3c53ff17f9,Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+a803453edd2b4a85b29da74dcc551b3c53ff17f9,Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction,China,China,China,35.86166000,104.19539700,edu,

+a803453edd2b4a85b29da74dcc551b3c53ff17f9,Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction,China,China,China,35.86166000,104.19539700,edu,

 a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531,Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu,

 a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531,Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu,

 a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531,Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu,

 a8d52265649c16f95af71d6f548c15afc85ac905,Situation Recognition with Graph Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 a8123a4e68642b602b5094f2f670ed7aefdd2f58,Online Video Object Detection Using Association LSTM,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+a85e9e11db5665c89b057a124547377d3e1c27ef,Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 a8896fa513ff0587e2e8dea0f3ef585d4d04feff,Production-level facial performance capture using deep convolutional neural networks,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,

 a8896fa513ff0587e2e8dea0f3ef585d4d04feff,Production-level facial performance capture using deep convolutional neural networks,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,

 a8896fa513ff0587e2e8dea0f3ef585d4d04feff,Production-level facial performance capture using deep convolutional neural networks,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,

@@ -11361,10 +14015,13 @@ a897bd2017f058dfcf7d06ee0b0cb0b6e924c87d,A Scalable Pipelined Dataflow Accelerat
 a897bd2017f058dfcf7d06ee0b0cb0b6e924c87d,A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 a820941eaf03077d68536732a4d5f28d94b5864a,Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a820941eaf03077d68536732a4d5f28d94b5864a,Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

-a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+8c661e613d96210a02e5c7faad6d000b7d683e26,Support Vector Machines for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+8c661e613d96210a02e5c7faad6d000b7d683e26,Support Vector Machines for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 8ca0a7f2e5a7b1676f9a409c3ed5749c8a569b83,A new approach for pedestrian density estimation using moving sensors and computer vision,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 8ca0a7f2e5a7b1676f9a409c3ed5749c8a569b83,A new approach for pedestrian density estimation using moving sensors and computer vision,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 8c7811c029905f4f3e9f31e925634a42e413f6d8,Face Matching Between Near Infrared and Visible Light Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+8c6427cc1f4e1bbe5d6da34a4511842361f4fbb6,Hypothesis Only Baselines in Natural Language Inference,India,India,India,20.59368400,78.96288000,edu,

 8ce9949b88726e117552ce3aa6901a5178db3bb2,Liberating the Biometric Menagerie Through Score Normalization Improvements,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 8c7284a0958c31f57b0558d3951d4486379ffacc,The role of napping on memory consolidation in preschool children,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 8c5d1a334e7a88dc5e54383df1eef13188c2b6b5,Multi-Cue Correlation Filters for Robust Visual Tracking,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -11373,6 +14030,7 @@ a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localizati
 8c99f35d6c3851513adb2c2d5c385c989879e05b,The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring,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,

 8c99f35d6c3851513adb2c2d5c385c989879e05b,The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring,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,

 8c99f35d6c3851513adb2c2d5c385c989879e05b,The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring,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,

+8cf679ef0ea28557acb86546e4b1b1a617d1c698,Long Term Multi-Target Tracking based on Detection and Data Association,China,China,China,35.86166000,104.19539700,edu,

 8c6c743e21592304ee28ec073657bf128376ff8c,Power Normalizing Second-order Similarity Network for Few-shot Learning,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 8c6c743e21592304ee28ec073657bf128376ff8c,Power Normalizing Second-order Similarity Network for Few-shot Learning,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 8c66378df977606d332fc3b0047989e890a6ac76,Hierarchical-PEP model for real-world face recognition,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,

@@ -11401,6 +14059,7 @@ a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localizati
 8c192cd39f90eb8ff2969f8916ef8967607c5298,Deep Aligned Representations,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 8c3cf0c579a28890e21428fcad7f09175e65e43d,Adding object detection skills to visual dialogue agents,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,

 8c9eaebd1db02f6f94c6e65bc206402f74523e82,Unsupervised domain adaptation of deep object detectors,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,g,g,"612 Main St, Neodesha, KS 66757, USA",37.41819100,-95.68183430,edu,

 8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu,

 8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -11424,6 +14083,7 @@ a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localizati
 8ccd6aaf1ee4b66c13fffbf560e3920f9bdf5f10,A multitask deep learning model for real-time deployment in embedded systems,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 8c04688425fa3e03c24d08b09faad49e33f2cc30,Adversarial Dropout Regularization,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 8c193d49d4038c9cc0e55236bbf2b83ed9687786,Cascaded Face Detection Using Neural Network Ensembles,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

+8cd61bb3469aa253d4411ef2295b50683a031d17,Random Occlusion-recovery for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 8cdd241b474bf7b0632162403ac2a3c4799252ad,Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 8cb55413f1c5b6bda943697bba1dc0f8fc880d28,Video-based Face Recognition on Real-World Data,University of Karlsruhe,University of Karlsruhe,"Karlshochschule International University, 36-38, Karlstraße, Innenstadt-West Westlicher Teil, Innenstadt-West, Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76133, Deutschland",49.00664235,8.39405152,edu,

 b13bf657ca6d34d0df90e7ae739c94a7efc30dc3,Attribute and Simile Classifiers for Face Verification ( In submission please do not distribute . ),Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -11445,11 +14105,16 @@ b1665e1ddf9253dcaebecb48ac09a7ab4095a83e,Emotion recognition using facial expres
 b1665e1ddf9253dcaebecb48ac09a7ab4095a83e,Emotion recognition using facial expressions with active appearance models,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu,

 b161f4e6ebb2260deeacf3d05de5bd70c811e66d,Multiscale High-Level Feature Fusion for Histopathological Image Classification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 b1398234454ee3c9bc5a20f6d2d00232cb79622c,Combining Low-Density Separators with CNNs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

+b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1,Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b1429e4d3dd3412e92a37d2f9e0721ea719a9b9e,Person re-identification using multiple first-person-views on wearable devices,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+b14fb84db85ab4bbbcc8c92200e9c69b00737f91,A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION,India,India,India,20.59368400,78.96288000,edu,

+b14fb84db85ab4bbbcc8c92200e9c69b00737f91,A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION,India,India,India,20.59368400,78.96288000,edu,

+b137480d2ccf3b53433de208815ce891d95af912,Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b1db174463b0bbc54a61fcc83acfb89ad3e3d18f,Loss Functions for Multiset Prediction,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 b1df214e0f1c5065f53054195cd15012e660490a,Supplementary Material to Sparse Coding and Dictionary Learning with Linear Dynamical Systems,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 b13b6e3dfdf6d708a923c547113d99047f1a0374,Neural activation to emotional faces in adolescents with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 b13b6e3dfdf6d708a923c547113d99047f1a0374,Neural activation to emotional faces in adolescents with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+b1a3b19700b8738b4510eecf78a35ff38406df22,Automatic Analysis of Facial Actions : A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b18858ad6ec88d8b443dffd3e944e653178bc28b,2017 Trojaning Attack on Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 b18858ad6ec88d8b443dffd3e944e653178bc28b,2017 Trojaning Attack on Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 b18858ad6ec88d8b443dffd3e944e653178bc28b,2017 Trojaning Attack on Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

@@ -11475,9 +14140,14 @@ b1e8476673ee55f3e33bfb7c5f309032522c4c1f,Context-Dependent Diffusion Network for
 b13a882e6168afc4058fe14cc075c7e41434f43e,Recognition of Humans and Their Activities Using Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 b185f0a39384ceb3c4923196aeed6d68830a069f,Describing clothing by semantic attributes,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 b185f0a39384ceb3c4923196aeed6d68830a069f,Describing clothing by semantic attributes,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,China,China,China,35.86166000,104.19539700,edu,

 b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,China,China,China,35.86166000,104.19539700,edu,

+b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,China,China,China,35.86166000,104.19539700,edu,

+b1bd58bb76ae9e4504622a941e1da21a24b5cfdd,"International conference on Advanced Computing , Communication and Networks ’ 11 1087 Face Recognition Using Incremental Principal Component Analysis",India,India,India,20.59368400,78.96288000,edu,

 b16580d27bbf4e17053f2f91bc1d0be12045e00b,Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+b16580d27bbf4e17053f2f91bc1d0be12045e00b,Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm,"Robert Bosch GmbH, Hildesheim, Germany","Robert Bosch GmbH, Hildesheim, Germany","Robert-Bosch-Straße 200, 31139 Hildesheim, Germany",52.11667120,9.89667860,edu,

 b1e92402ff89540fb9294620f429eacb0aba7d1c,Working Draft : This is work in progress ! Datasheets for Datasets ∗,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 b19ca50a9e2415072a97482005fe0b77a8a495ce,Hierarchical Direct Appearance Model for Elastic Labeled Graph Localization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 b19e8bce7a3180456f8748caabade89dd802ea84,Inferring and Executing Programs for Visual Reasoning Supplementary Material,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -11493,19 +14163,25 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 6e968f74fd6b4b3b172c787f298b3d4746ec5cc9,A 3D Polygonal Line Chains Matching Method for Face Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu,

 6e968f74fd6b4b3b172c787f298b3d4746ec5cc9,A 3D Polygonal Line Chains Matching Method for Face Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu,

 6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c,Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu,

+6ed559a0d04e7d4185eeea43f77e372483982e4b,Paper on Player Tracking and Automated Analysis in Sports Videos,India,India,India,20.59368400,78.96288000,edu,

 6e025c0415c9ff0705d4e4439a48e8fffe7d44c1,Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 6e782073a013ce3dbc5b9b56087fd0300c510f67,Kinect For Windows V 2 . 0 Sensor And Sdk 2,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 6eb8e193687c16f0edc3742d3549ad175ef648d1,Working memory load disrupts gaze-cued orienting of attention,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

+6eb8e193687c16f0edc3742d3549ad175ef648d1,Working memory load disrupts gaze-cued orienting of attention,India,India,India,20.59368400,78.96288000,edu,

 6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9,LEGO Pictorial Scales for Assessing Affective Responses,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu,

 6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9,LEGO Pictorial Scales for Assessing Affective Responses,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu,

 6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9,LEGO Pictorial Scales for Assessing Affective Responses,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu,

 6e91be2ad74cf7c5969314b2327b513532b1be09,Dimensionality Reduction with Subspace Structure Preservation,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu,

+6ee5205408fc6db03460c05765ae0f21a6eb9552,A literature review on recent multi-object tracking methods based on HMM and particle filter,India,India,India,20.59368400,78.96288000,edu,

 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu,

 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu,

 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu,

 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu,

+6e885d831568520aa95f523f625623e46578efd0,Camera Selection for Adaptive Human-Computer Interface,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+6e885d831568520aa95f523f625623e46578efd0,Camera Selection for Adaptive Human-Computer Interface,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6ea6be2c270f7d366e9e93ced7ea5a17d3a24c1a,Real-Time Semantic Segmentation Benchmarking Framework,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 6e4e5ef25f657de8fb383c8dfeb8e229eea28bb9,RON: Reverse Connection with Objectness Prior Networks for Object Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+6e297f10a02580dfc74595ff8d7db34020002ec4,Correlation Net : spatio temporal multimodal deep learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6eb5db8e6a79ad59bf4f4a5fccdd5b10237408d7,Cross Talk: The Microbiota and Neurodevelopmental Disorders,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee,Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.,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,

 6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee,Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

@@ -11525,18 +14201,24 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 6e40b120bf46807ef28ebdd8860e3109708bb888,Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 6e209d7d33c0be8afae863f4e4e9c3e86826711f,Weakly-supervised segmentation by combining CNN feature maps and object saliency maps,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 6ee5dbbc167167105162abd888ca4824a048fae0,Face recognition using non-linear image reconstruction,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

+6e12b8cb01abd5d6af6023e284009d417c53d160,Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?,China,China,China,35.86166000,104.19539700,edu,

 6e12b8cb01abd5d6af6023e284009d417c53d160,Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 6e12b8cb01abd5d6af6023e284009d417c53d160,Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 6eafa9a536d10b460f780e07c0052e7c246059e7,Automatic individual pig detection and tracking in surveillance videos,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu,

 6eafa9a536d10b460f780e07c0052e7c246059e7,Automatic individual pig detection and tracking in surveillance videos,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu,

 6eeff23d6e0127cfbbd0374a83341173a418ba7f,Dual Attention Network for Visual Question Answering,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+6e32c368a6157fb911c9363dc3e967a7fb2ad9f7,Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

 6e60536c847ac25dba4c1c071e0355e5537fe061,Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 6e60536c847ac25dba4c1c071e0355e5537fe061,Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 6e60536c847ac25dba4c1c071e0355e5537fe061,Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+6ef6e6e8b295c90ab9390f07d91c9ef8304a409d,Preserving privacy by de-identifying face images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6e647a430d603f4d82e44b4a87de580a0fcaec88,BigSUR: large-scale structured urban reconstruction,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+6e647a430d603f4d82e44b4a87de580a0fcaec88,BigSUR: large-scale structured urban reconstruction,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu,

 6e647a430d603f4d82e44b4a87de580a0fcaec88,BigSUR: large-scale structured urban reconstruction,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 6e1c597fdad6c43ce6e404f14f336576d8373acd,EFFICIENTLY AND EFFECTIVELY LEARNING MODELS OF SIMILARITY FROM HUMAN FEEBACK,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 6e1c597fdad6c43ce6e404f14f336576d8373acd,EFFICIENTLY AND EFFECTIVELY LEARNING MODELS OF SIMILARITY FROM HUMAN FEEBACK,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

+6e8c7e0f6a83fd02f0cc6872ca16d755406723e5,Spatio-Temporal Closed-Loop Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+6eb2972abed9507e21b959ba7754b599a7af41fb,Face Recognition and Verification : A Literature Review,India,India,India,20.59368400,78.96288000,edu,

 6eddea1d991e81c1c3024a6cea422bc59b10a1dc,Towards automatic analysis of gestures and body expressions in depression,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 6eddea1d991e81c1c3024a6cea422bc59b10a1dc,Towards automatic analysis of gestures and body expressions in depression,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 6e7afe55d363adf80330116968163c7e9500f53b,SVD-based projection for face recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

@@ -11545,17 +14227,26 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 6e00a406edb508312108f683effe6d3c1db020fb,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 6e00a406edb508312108f683effe6d3c1db020fb,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 6e00a406edb508312108f683effe6d3c1db020fb,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+6e396401b3950eccdaf8265aeae8a4f0da8965a0,Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 6e80ad43c5f383c1d87b1ced2a336fe5cd44e044,Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network,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,

+6e80ad43c5f383c1d87b1ced2a336fe5cd44e044,Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network,China,China,China,35.86166000,104.19539700,edu,

+6e80ad43c5f383c1d87b1ced2a336fe5cd44e044,Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network,China,China,China,35.86166000,104.19539700,edu,

 6eebd8762996501b28d3d94a7c166c79d37e7a57,Sequential Spectral Learning to Hash with Multiple Representations,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu,

 6e61641c9a9cddb38948b6600c0ebc3d2057c697,Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+6e61641c9a9cddb38948b6600c0ebc3d2057c697,Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 6e61641c9a9cddb38948b6600c0ebc3d2057c697,Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 6e97a99b2879634ecae962ddb8af7c1a0a653a82,Towards Context-aware Interaction Recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 6e6923a8b39cd22d714ae9364d18bec8178e5632,Generating Image Descriptions Using Semantic Similarities in the Output Space,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,India,India,India,20.59368400,78.96288000,edu,

+6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,India,India,India,20.59368400,78.96288000,edu,

 6e69de19576ea2dfa4cb84a450ce18eccd183a95,Easy Minimax Estimation with Random Forests for Human Pose Estimation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+01d94d568447075d9f32f6c1e7af9255188a6938,A biometric database with rotating head videos and hand-drawn face sketches,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 0136d9114d62aaedcfbb50ed9594d18e10424179,Learning Visual Models of Social Engagement,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 011d461718c39c9d196cb84b2e881c1660ef8f55,Context Aware Active Learning of Activity Recognition Models,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

 019f1462c1b7101100334e4c421d35feea612492,Running Head : UNFAMILIAR FACE MATCHING The Effects of External Features and Time Pressure on Unfamiliar Face Matching,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 019f1462c1b7101100334e4c421d35feea612492,Running Head : UNFAMILIAR FACE MATCHING The Effects of External Features and Time Pressure on Unfamiliar Face Matching,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+01a8c7335f0d9321c95d6a57f2dd9f128735f1d7,One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace,China,China,China,35.86166000,104.19539700,edu,

+01a8c7335f0d9321c95d6a57f2dd9f128735f1d7,One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace,China,China,China,35.86166000,104.19539700,edu,

 01a8c7335f0d9321c95d6a57f2dd9f128735f1d7,One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 01a078cd25b7ce1049efc07bd754980771150775,Visual object detection by parts-based modeling using extended histogram of gradients,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 016eb7b32d1fdec0899151fb03799378bf59bbe5,Point Linking Network for Object Detection.,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

@@ -11565,13 +14256,17 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 019c5cb085dbbc8a0fc78645e385aa4e0b468fb8,Continuous Learning of Context-dependent Processing in Neural Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 012e281061126caf2e2c94ca6ba0116c8a8930fb,HUMAN BODY DETECTION AND SAFETY CARE SYSTEM FOR A FLYING ROBOT,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

-01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0182d090478be67241392df90212d6cd0fb659e6,Discovering localized attributes for fine-grained recognition,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 0182d090478be67241392df90212d6cd0fb659e6,Discovering localized attributes for fine-grained recognition,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+01e812ad00b7743e9b24aa070a24023f05710b8b,A Distributed Representation Based Query Expansion Approach for Image Captioning,China,China,China,35.86166000,104.19539700,edu,

 016b1080c108718fc59e58e47b4867baebd57d8e,CEPSTRAL METHODS FOR IMAGE FEATURE EXTRACTION,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

+01f21ad0eccdbb56dd60c397a27415b9f33d5ec3,Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 01c09acf0c046296643de4c8b55a9330e9c8a419,MANIFOLD LEARNING USING EUCLIDEAN -NEAREST NEIGHBOR GRAPHS,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

-01efec88d36070dc3bc49f341a77476f74d373bc,Generation and Comprehension of Unambiguous Object Descriptions,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+01efec88d36070dc3bc49f341a77476f74d373bc,Generation and Comprehension of Unambiguous Object Descriptions,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 01efec88d36070dc3bc49f341a77476f74d373bc,Generation and Comprehension of Unambiguous Object Descriptions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+01f5689a4010ae14ca444c36bec81f12ce528912,"EXTENDED FAST SEARCH CLUSTERING ALGORITHM: WIDELY DENSITY CLUSTERS, NO DENSITY PEAKS",China,China,China,35.86166000,104.19539700,edu,

 015df3b57e44b8ddc51c87e5255fa4940bd91963,DSFD: Dual Shot Face Detector,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 013af5a24ec62b000d00d86c1a504573c0f35a3e,Image-guided Non-local Dense Matching with Three-steps Optimization,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 015a5fde8c9c89ae9ae8349183018acb8f0e741f,Egocentric Height Estimation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

@@ -11580,12 +14275,16 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 015f9cf25b5902edadd984df53df6e16848c9528,Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 015f9cf25b5902edadd984df53df6e16848c9528,Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 01018a509f32601e1bbf7f0159aad1a513e23f92,Computers in the Human Interaction Loop,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

+0139eb62a87649bf7d259542b5afc6be121b094b,Unsupervised feature selection using nonnegative spectral analysis,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 0139eb62a87649bf7d259542b5afc6be121b094b,Unsupervised feature selection using nonnegative spectral analysis,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,

 0139eb62a87649bf7d259542b5afc6be121b094b,Unsupervised feature selection using nonnegative spectral analysis,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 01c840aa27a6c234c0e55e9a5874719bb4d8fbe3,Probabilistic Label Relation Graphs with Ising Models,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 01a19d3e902d7431f533f5f0b54510a7fb9bda23,A Practical Face Relighting Method for Directional Lighting Normalization,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 014143aa16604ec3f334c1407ceaa496d2ed726e,Large-scale manifold learning,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 016dd886d5cb01c55a0204e2988274cf9417b564,Strong Appearance and Expressive Spatial Models for Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+016dd886d5cb01c55a0204e2988274cf9417b564,Strong Appearance and Expressive Spatial Models for Human Pose Estimation,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+016a8ed8f6ba49bc669dbd44de4ff31a79963078,Face relighting for face recognition under generic illumination,China,China,China,35.86166000,104.19539700,edu,

+016a8ed8f6ba49bc669dbd44de4ff31a79963078,Face relighting for face recognition under generic illumination,China,China,China,35.86166000,104.19539700,edu,

 016a8ed8f6ba49bc669dbd44de4ff31a79963078,Face relighting for face recognition under generic illumination,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 016800413ebd1a87730a5cf828e197f43a08f4b3,Learning Attributes Equals Multi-Source Domain Generalization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 016800413ebd1a87730a5cf828e197f43a08f4b3,Learning Attributes Equals Multi-Source Domain Generalization,University of Iowa,University of Iowa,"University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA",41.66590000,-91.57310307,edu,

@@ -11596,6 +14295,8 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf,Attention driven person re-identification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 01cc8a712e67384f9ef9f30580b7415bfd71e980,Failing to ignore: paradoxical neural effects of perceptual load on early attentional selection in normal aging.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 01cc8a712e67384f9ef9f30580b7415bfd71e980,Failing to ignore: paradoxical neural effects of perceptual load on early attentional selection in normal aging.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu,

 01c9dc5c677aaa980f92c4680229db482d5860db,Temporal Action Detection Using a Statistical Language Model,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

@@ -11607,6 +14308,7 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 013909077ad843eb6df7a3e8e290cfd5575999d2,A Semi-automatic Methodology for Facial Landmark Annotation,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,

 013909077ad843eb6df7a3e8e290cfd5575999d2,A Semi-automatic Methodology for Facial Landmark Annotation,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu,

 013909077ad843eb6df7a3e8e290cfd5575999d2,A Semi-automatic Methodology for Facial Landmark Annotation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+0141c695e4cf87cc58e0d552004bcb53258c4915,Lying Pose Recognition for Elderly Fall Detection,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 0141c695e4cf87cc58e0d552004bcb53258c4915,Lying Pose Recognition for Elderly Fall Detection,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

 0141c695e4cf87cc58e0d552004bcb53258c4915,Lying Pose Recognition for Elderly Fall Detection,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 01c687f0cb8c8e1002376f834c9b43b4b653a52f,Beyond shape: incorporating color invariance into a biologically inspired feedforward model of category recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

@@ -11618,21 +14320,31 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From
 014043cd53e4faf203e8938f1f32cc494bb414af,Domain Adaptive Subspace Clustering,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 012876a5f45da258675add1614ad7608a210141a,What are the Visual Features Underlying Human Versus Machine Vision?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 0162e84bbe995ec06e8e59dd9023c67d8f0e8880,Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

+013e9e0f712d8caa89dd0881ab8dcf90d687ba50,Face Recognition using LBP and LVQ Classifier,India,India,India,20.59368400,78.96288000,edu,

 0108504305468275985da608b77dbbbe4aee34c7,An efficient branch-and-bound algorithm for optimal human pose estimation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 01239e3c4dd6b7b271df08c17398ceb260979ced,A Signal Processing Approach To Malware Analysis,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

+01085ce83c6e8781f3d59bf8fb6a2f14c7fda9d6,Nearest neighbor based collection OCR,India,India,India,20.59368400,78.96288000,edu,

+01085ce83c6e8781f3d59bf8fb6a2f14c7fda9d6,Nearest neighbor based collection OCR,India,India,India,20.59368400,78.96288000,edu,

 01085ce83c6e8781f3d59bf8fb6a2f14c7fda9d6,Nearest neighbor based collection OCR,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

+0163d847307fae508d8f40ad193ee542c1e051b4,Classemes and Other Classifier-Based Features for Efficient Object Categorization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+017ce398e1eb9f2eed82d0b22fb1c21d3bcf9637,FACE RECOGNITION WITH HARMONIC DELIGHTING,China,China,China,35.86166000,104.19539700,edu,

+017ce398e1eb9f2eed82d0b22fb1c21d3bcf9637,FACE RECOGNITION WITH HARMONIC DELIGHTING,China,China,China,35.86166000,104.19539700,edu,

 01576b5fe525d8dee025fd3776337d74dacdf224,Regression using Gaussian Process manifold kernel dimensionality reduction,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 01dc1e03f39901e212bdf291209b7686266aeb13,Actionness Estimation Using Hybrid Fully Convolutional Networks,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 01dc1e03f39901e212bdf291209b7686266aeb13,Actionness Estimation Using Hybrid Fully Convolutional Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+01c8d7a3460422412fba04e7ee14c4f6cdff9ad7,Rule Based System for Recognizing Emotions Using Multimodal Approach,India,India,India,20.59368400,78.96288000,edu,

 01125e3c68edb420b8d884ff53fb38d9fbe4f2b8,Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 01125e3c68edb420b8d884ff53fb38d9fbe4f2b8,Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa,Depth Sweep Regression Forests for Estimating 3D Human Pose from Images,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa,Depth Sweep Regression Forests for Estimating 3D Human Pose from Images,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

+014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,China,China,China,35.86166000,104.19539700,edu,

 014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

 014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 01a903739564f575b81c87f7a9e2cb7b609f7ada,Image retrieval using scene graphs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 01424c2510fbca67c3cb016ac919f6a58e37541f,2D Human Pose Estimation in TV Shows,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 01aad32349489cabfcb619024b297d8f854e9d1f,From Visual Attributes to Adjectives through Decompositional Distributional Semantics,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+01350214f850f43d72268df4f98b05901fbbe06c,1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+01350214f850f43d72268df4f98b05901fbbe06c,1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 015d24c1a8621bcb6b6beac3c4d5a34af5589ec6,Classification and feature selection with human performance data,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu,

 0149b14428de816bd62f80bbfd89238b765edaf7,Classification via Minimum Incremental Coding Length (MICL),"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 01c44701017b492592a53bd100096aaa55a6b8e4,Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -11659,11 +14371,15 @@ c6e2641d99c72bbffef8a97ec019dd9379dd8b3a,Temporal Action Detection by Joint Iden
 c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8,Anxiety promotes memory for mood-congruent faces but does not alter loss aversion.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8,Anxiety promotes memory for mood-congruent faces but does not alter loss aversion.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c63b614865bd9e5b4944894083e5e9d4aba82d86,Large Scale Similarity Learning Using Similar Pairs for Person Verification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,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,

 c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,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,

+c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2,Towards a Development of Augmented Reality for Jewellery App,India,India,India,20.59368400,78.96288000,edu,

+c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2,Towards a Development of Augmented Reality for Jewellery App,India,India,India,20.59368400,78.96288000,edu,

 c62b877c4dfa861e47e5a34e443a57599aca4e08,"Sparse, collaborative, or nonnegative representation: Which helps pattern classification?",Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 c62b877c4dfa861e47e5a34e443a57599aca4e08,"Sparse, collaborative, or nonnegative representation: Which helps pattern classification?",Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+c62b877c4dfa861e47e5a34e443a57599aca4e08,"Sparse, collaborative, or nonnegative representation: Which helps pattern classification?",China,China,China,35.86166000,104.19539700,edu,

 c6df59e1d77d84f418666235979cbce6d400d3ca,Spectral Clustering Based on Local PCA,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 c6df59e1d77d84f418666235979cbce6d400d3ca,Spectral Clustering Based on Local PCA,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 c6df59e1d77d84f418666235979cbce6d400d3ca,Spectral Clustering Based on Local PCA,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

@@ -11673,9 +14389,11 @@ c6d78245ab09c5690e483962dd51e0408fbf5cc7,Neural responses to emotional expressio
 c66eb0e17076bff559d8f94a8f967d52db2bab01,Video Classification System for Moments in Time Challenge 2018,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 c66eb0e17076bff559d8f94a8f967d52db2bab01,Video Classification System for Moments in Time Challenge 2018,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

 c6542d17b212d808cba48cd2b1536446b14e38b3,You said that?,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+c6542d17b212d808cba48cd2b1536446b14e38b3,You said that?,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 c6ce8eb37dafed09e1c55735fd1f1e9dc9c6bfe2,Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 c6ce8eb37dafed09e1c55735fd1f1e9dc9c6bfe2,Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 c69ea9367e1244bfa5d3fc290b8a33be3abd8c24,"Many faces, one rule: the role of perceptual expertise in infants’ sequential rule learning",Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

+c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc,Random projections on manifolds of Symmetric Positive Definite matrices for image classification,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc,Random projections on manifolds of Symmetric Positive Definite matrices for image classification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc,Random projections on manifolds of Symmetric Positive Definite matrices for image classification,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 c6f58adf4a5ee8499cbc9b9bc1e6f1c39f1f8eae,Earn to P Ay a Ttention,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -11692,23 +14410,31 @@ f6f12e0fbfce067d02445abde76be0522e4db329,Online Multiple targets Detection and T
 f6e00d6430cbbaa64789d826d093f7f3e323b082,Visual Object Recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 f6e00d6430cbbaa64789d826d093f7f3e323b082,Visual Object Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 f61b4aa14b052e143db302402cf976ee93cb4eee,Real-time Semantic Image Segmentation via Spatial Sparsity,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

-f61d5f2a082c65d5330f21b6f36312cc4fab8a3b,Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+f61d5f2a082c65d5330f21b6f36312cc4fab8a3b,Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 f660ea723b62f69b9f4c439724a6b73357e1d3c3,Survey on the attention based RNN model and its applications in computer vision,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 f660ea723b62f69b9f4c439724a6b73357e1d3c3,Survey on the attention based RNN model and its applications in computer vision,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 f6c7fbd84e6ac61af40e670e589ec52fa435f396,An Automated System for Garment Texture Design Class Identification,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu,

 f6fa68847e0ce7fda05a9c73ebcb484f0b42a9af,Face Recognition Across Pose and Illumination,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 f68255269d509ff617c2532bd2da71edf9576efc,New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

+f68255269d509ff617c2532bd2da71edf9576efc,New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization,India,India,India,20.59368400,78.96288000,edu,

+f68255269d509ff617c2532bd2da71edf9576efc,New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization,India,India,India,20.59368400,78.96288000,edu,

 f6a65be9a3790e8fd3b5116450a47a8e48a54d63,Parametric Piecewise Linear Subspace Method for Processing Facial Images with 3 D Pose Variations,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,

 f6c814f6efff8031b9ebc62cdf0f3b343441e7d3,XOGAN: One-to-Many Unsupervised Image-to-Image Translation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+f65896855e5df3db5422b57ab360287efa213066,DETECTION OF UNCONTROLLED MOTION BEHAVIOR IN HUMAN,India,India,India,20.59368400,78.96288000,edu,

 f65ff9d6d0025f198ac4f924d2f0df121bc51c67,Overlapping on partitioned facial images,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 f65c03004e3b2ef4b4224396f7a31ee75a252d85,End-to-End Multi-Task Learning with Attention,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,

 f611f46455ed6ad9af85eeb22e294082dced9bed,Learning of Visual Attribute Clusters for MultiTask Classification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 f611f46455ed6ad9af85eeb22e294082dced9bed,Learning of Visual Attribute Clusters for MultiTask Classification,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu,

 f632790471b2bed7ba7c28b12cda9360ec586a63,Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

+f632790471b2bed7ba7c28b12cda9360ec586a63,Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,China,China,China,35.86166000,104.19539700,edu,

 f632790471b2bed7ba7c28b12cda9360ec586a63,Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 f6149fc5b39fa6b33220ccee32a8ee3f6bbcaf4a,Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation,"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,

+f67a73c9dd1e05bfc51219e70536dbb49158f7bc,A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map,India,India,India,20.59368400,78.96288000,edu,

+f67a73c9dd1e05bfc51219e70536dbb49158f7bc,A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map,India,India,India,20.59368400,78.96288000,edu,

 f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f,Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f,Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 f69de2b6770f0a8de6d3ec1a65cb7996b3c99317,Face Recognition System Based on Sparse Codeword Analysis,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

+f69de2b6770f0a8de6d3ec1a65cb7996b3c99317,Face Recognition System Based on Sparse Codeword Analysis,India,India,India,20.59368400,78.96288000,edu,

 f62d71e701c9fd021610e2076b5e0f5b2c7c86ca,Mahalanobis Distance Learning for Person Re-identification,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 f683533c105ab71a2ce73e18b7e13907a923f739,On Shape-Mediated Enrolment in Ear Biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learned Associations Between Words and Images,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

@@ -11718,9 +14444,15 @@ f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learne
 f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learned Associations Between Words and Images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learned Associations Between Words and Images,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu,

 f6328f02ab64c992d76967dbfd1a66d325173723,Mel- and Mellin-cepstral Feature Extraction Algorithms for Face Recognition,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

+f672bf42dbefb6b40921c00a05f60284934e9948,LDS-Inspired Residual Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+f672bf42dbefb6b40921c00a05f60284934e9948,LDS-Inspired Residual Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f678f31e7bb5eda34098b0fed608cfad5e372509,Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

 f68263a6f541429a8645ca2f4b0658cdbbd66638,Setting a world record in 3 D Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+f6551620737ea608da36842929681fee811239db,Object Tracking via Partial Least Squares Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociates continuous from categorical representations of facial expression in the human brain.,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 7d953309fd93d86fe93c392dcb60d1dec3de797f,Scene Parsing Using Scene Attributes As Global Features,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 7d941dbab0bb645af81781bd3867ebde11c3641d,Handwritten Hangul recognition using deep convolutional neural networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 7dcaf1ef07a593a987f3b529c2ad1e977c0c7196,Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -11728,6 +14460,9 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 7db5404feaa08e3e53bbf4fea7d89bcf509cfdbd,An Enhanced Default Approach Bias Following Human Amygdala Lesions,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 7db5404feaa08e3e53bbf4fea7d89bcf509cfdbd,An Enhanced Default Approach Bias Following Human Amygdala Lesions,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 7d1ac241fb603a4237cb681dbcf163a9f89e906a,Supplementary Material : Switching Convolutional Neural Network for Crowd Counting,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+7d1ac241fb603a4237cb681dbcf163a9f89e906a,Supplementary Material : Switching Convolutional Neural Network for Crowd Counting,India,India,India,20.59368400,78.96288000,edu,

+7d9fe410f24142d2057695ee1d6015fb1d347d4a,Facial Expression Feature Extraction Based on FastLBP,China,China,China,35.86166000,104.19539700,edu,

+7d9fe410f24142d2057695ee1d6015fb1d347d4a,Facial Expression Feature Extraction Based on FastLBP,China,China,China,35.86166000,104.19539700,edu,

 7d520f474f2fc59422d910b980f8485716ce0a3e,Designing Convolutional Neural Networks for Urban Scene Understanding,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 7d520f474f2fc59422d910b980f8485716ce0a3e,Designing Convolutional Neural Networks for Urban Scene Understanding,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,

 7d94fd5b0ca25dd23b2e36a2efee93244648a27b,Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

@@ -11740,14 +14475,19 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 7d7ab791ae3cfa72b4feacf1e09a4493c1a5a87c,Individualness and Determinantal Point Processes for Pedestrian Detection,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 7d621ec871a03a01f5aa65253e9ae6c8aadaf798,Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 7d621ec871a03a01f5aa65253e9ae6c8aadaf798,Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+7d621ec871a03a01f5aa65253e9ae6c8aadaf798,Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades,India,India,India,20.59368400,78.96288000,edu,

 7dfa46c90d2293de3e353db84917fdee405f2a72,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 7dfa46c90d2293de3e353db84917fdee405f2a72,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+7dfa46c90d2293de3e353db84917fdee405f2a72,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 7d53678ef6009a68009d62cd07c020706a2deac3,Facial feature point extraction using the adaptive mean shape in active shape model,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu,

 7dacb063f783df07f89934c962c3e170acb166cc,Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu,

 7dacb063f783df07f89934c962c3e170acb166cc,Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering,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,

 7dacb063f783df07f89934c962c3e170acb166cc,Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 7d1688ce0b48096e05a66ead80e9270260cb8082,Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu,

 7ddb2e298acbe29ccaea131e8a6475d451eb90ad,A Deep-Learning-Based Fashion Attributes Detection Model,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+7d6539d637f919fa20a9261e03aedcf59f92598e,Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 7d7b564aba3161231c789169cafec38342a18ea7,Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 7d7b564aba3161231c789169cafec38342a18ea7,Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 7d7b564aba3161231c789169cafec38342a18ea7,Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

@@ -11761,6 +14501,7 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 7de1d7b30ea40ee64e1053c5bbdc5142674683eb,A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 7d7be6172fc2884e1da22d1e96d5899a29831ad2,L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction,South China University of China,South China University of China,"华工站, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04900470,113.39715710,edu,

 7d7be6172fc2884e1da22d1e96d5899a29831ad2,L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction,South China University of China,South China University of China,"华工站, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04900470,113.39715710,edu,

 7d7be6172fc2884e1da22d1e96d5899a29831ad2,L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction,Education University of Hong Kong,The Education University of Hong Kong,"香港教育大學 The Education University of Hong Kong, 露屏路 Lo Ping Road, 鳳園 Fung Yuen, 下坑 Ha Hang, 新界 New Territories, HK, DD5 1119, 中国",22.46935655,114.19474194,edu,

@@ -11768,7 +14509,10 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 7dbdaada9efe96b304e8594ff610559958d5661b,Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

 2d4b9fe3854ccce24040074c461d0c516c46baf4,Temporal Action Localization by Structured Maximal Sums,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 2d4b9fe3854ccce24040074c461d0c516c46baf4,Temporal Action Localization by Structured Maximal Sums,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+2d294c58b2afb529b26c49d3c92293431f5f98d0,Maximum Margin Projection Subspace Learning for Visual Data Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2d23fa205acca9c21e3e1a04674f1e5a9528550e,The Fast and the Flexible: Extended Pseudo Two-Dimensional Warping for Face Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

+2d8f08dbb012621504753a4df493b785ad22ef0f,Face Recognition Techniques for Authentication in Smart Devices-Comparative Study,India,India,India,20.59368400,78.96288000,edu,

+2d4d463b1bf1c26afafea7b98ad8f7f06b5b1a4c,Improving Image Captioning with Conditional Generative Adversarial Nets,China,China,China,35.86166000,104.19539700,edu,

 2d02cf53bc0f2d919b89bec8f9160b50916bb625,Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 2d1e009a7b7a6304903ba183e39395c358f652e8,ResearchDoom and CocoDoom: Learning Computer Vision with Games,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 2d1e009a7b7a6304903ba183e39395c358f652e8,ResearchDoom and CocoDoom: Learning Computer Vision with Games,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -11781,10 +14525,12 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 2d4215a73e4cabc12a8ea5f49a3661d741add0c4,Unsupervised Detection of Regions of Interest Using Iterative Link Analysis,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 2d38fd1df95f5025e2cee5bc439ba92b369a93df,Scalable Object-Class Search via Sparse Retrieval Models and Approximate Ranking,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 2d990b04c2bd61d3b7b922b8eed33aeeeb7b9359,Discriminative Dictionary Learning with Pairwise Constraints,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+2dd853b617c176810e3dda008f7cacea6473f0ae,Image captioning using deep neural architectures,India,India,India,20.59368400,78.96288000,edu,

 2d3c17ced03e4b6c4b014490fe3d40c62d02e914,Video-driven state-aware facial animation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 2d48557e4107d93126e7f7b74fb04517697f6a52,Self-Training Ensemble Networks for Zero-Shot Image Recognition,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 2d48557e4107d93126e7f7b74fb04517697f6a52,Self-Training Ensemble Networks for Zero-Shot Image Recognition,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu,

 2dd46b83a1cf5c7c811a462728d9797c270c2cb4,Recurrent Human Pose Estimation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+2dbb4b45b6a392268ce45d16fb944a652d434bd2,Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning,China,China,China,35.86166000,104.19539700,edu,

 2d68cac1bd2f18631051cfbd4a46b67be1a939fe,PSSDL: Probabilistic Semi-supervised Dictionary Learning,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

 2d164f88a579ba53e06b601d39959aaaae9016b7,Dynamic Facial Expression Recognition Using A Bayesian Temporal Manifold Model,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 2dd2c7602d7f4a0b78494ac23ee1e28ff489be88,Large scale metric learning from equivalence constraints,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

@@ -11793,6 +14539,7 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu,

 2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu,

 2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu,

+2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363,To Track or To Detect? An Ensemble Framework for Optimal Selection,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 2def47989c6f9143184b5eaaf3aca3f2833f3e05,Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 2d3482dcff69c7417c7b933f22de606a0e8e42d4,Labeled Faces in the Wild : Updates and New Reporting Procedures,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

@@ -11811,9 +14558,10 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 2d294bde112b892068636f3a48300b3c033d98da,Deep Multi-Center Learning for Face Alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 2d294bde112b892068636f3a48300b3c033d98da,Deep Multi-Center Learning for Face Alignment,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

 2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,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,

-2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

-2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 2d93a9aa8bed51d0d1b940c73ac32c046ebf1eb8,Perceptual Reward Functions,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 2d93a9aa8bed51d0d1b940c73ac32c046ebf1eb8,Perceptual Reward Functions,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu,

 2df5e2adf01a803405341af1943651f6d8658bce,Taking mobile multi-object tracking to the next level,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

@@ -11826,6 +14574,7 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 2dd5f1d69e0e8a95a10f3f07f2c0c7fa172994b3,20 Machine Analysis of Facial Expressions,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,

 2d8001ffee6584b3f4d951d230dc00a06e8219f8,Feature Agglomeration Networks for Single Stage Face Detection,Singapore Management University,Singapore Management University,"Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore",1.29500195,103.84909214,edu,

 2d8001ffee6584b3f4d951d230dc00a06e8219f8,Feature Agglomeration Networks for Single Stage Face Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+2d8001ffee6584b3f4d951d230dc00a06e8219f8,Feature Agglomeration Networks for Single Stage Face Detection,China,China,China,35.86166000,104.19539700,edu,

 2d83ba2d43306e3c0587ef16f327d59bf4888dc3,Large-Scale Video Classification with Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 2dfe0e7e81f65716b09c590652a4dd8452c10294,Incongruence Between Observers’ and Observed Facial Muscle Activation Reduces Recognition of Emotional Facial Expressions From Video Stimuli,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 2dfe0e7e81f65716b09c590652a4dd8452c10294,Incongruence Between Observers’ and Observed Facial Muscle Activation Reduces Recognition of Emotional Facial Expressions From Video Stimuli,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

@@ -11835,32 +14584,42 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate
 2dbde64ca75e7986a0fa6181b6940263bcd70684,Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components,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,

 2d105eea4f594519bd337298c55b9af3da178293,Deep Randomized Ensembles for Metric Learning,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 2d31ab536b3c8a05de0d24e0257ca4433d5a7c75,Materials discovery: Fine-grained classification of X-ray scattering images,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

+2d8ffa4a27b3e3b792b2d2516bbcb1a47c114846,Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2d8a84a8e661ce3913cb6c05b18984b14ed11dac,P3: toward privacy-preserving photo sharing,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,

 2dbff0b15221234e00bec4a00b4897c631904fcf,Learning Efficient Image Representation for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 2d7aa6af536a703471c56cc94bfd99471963b305,Learning to Separate Object Sounds by Watching Unlabeled Video,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 2d2b1f9446e9b4cdb46327cda32a8d9621944e29,Information revelation and privacy in online social networks,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,

 2d0363a3ebda56d91d704d5ff5458a527775b609,Attribute2Image: Conditional Image Generation from Visual Attributes,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 2d748f8ee023a5b1fbd50294d176981ded4ad4ee,Triplet Similarity Embedding for Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+2dc62458979dfc00ec195258ea8809077c5de442,Robust Painting Recognition and Registration for Mobile Augmented Reality,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2d13971cf59761b76fa5fc08e96f4e56c0c2d6dc,Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 2deed841cfde51ce3b4e90880894efbbfdc18f18,Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution.,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 2deed841cfde51ce3b4e90880894efbbfdc18f18,Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+2deed841cfde51ce3b4e90880894efbbfdc18f18,Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution.,Xi’an Jiaotong-Liverpool University,"Xi’an Jiaotong-Liverpool University, Jiangsu, China","Wuzhong, Suzhou, China, 215123",31.27482200,120.73809400,edu,

 2d79d338c114ece1d97cde1aa06ab4cf17d38254,iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 2d79d338c114ece1d97cde1aa06ab4cf17d38254,iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 ec8ec2dfd73cf3667f33595fef84c95c42125945,Pose-Invariant Face Alignment with a Single CNN,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+ec2ee72168368537ddb0eaac50f9e8c1b1d52a8c,Classification and Representation via Separable Subspaces: Performance Limits and Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ec2ee72168368537ddb0eaac50f9e8c1b1d52a8c,Classification and Representation via Separable Subspaces: Performance Limits and Algorithms,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,

 ecd473cfbce5f058a3c9388b220b21de1ece8eb8,Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

+eca9b9dd665556423278b85f79e1d589009a7ea7,Person Re-Identi fi cation by Robust Canonical Correlation Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

+ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,China,China,China,35.86166000,104.19539700,edu,

+ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,China,China,China,35.86166000,104.19539700,edu,

 ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

+ec443db55db1a6721387b2054b94f6df020994ae,Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,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,

 ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

+ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,China,China,China,35.86166000,104.19539700,edu,

 ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 ec85c3f57594afa77a8b0e516035550ef6f79db4,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 ec85c3f57594afa77a8b0e516035550ef6f79db4,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 ece80165040e9d8304c5dd808a6cdb29c8ecbf5b,Looking at People Using Partial Least Squares,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 ece80165040e9d8304c5dd808a6cdb29c8ecbf5b,Looking at People Using Partial Least Squares,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

+ec8eed7fd8549abb269d95a12d1ac1f2898ea2fb,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ec5f89e822d9fcbc7b7422dc401478fc29f9c02d,Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu,

 ec5f89e822d9fcbc7b7422dc401478fc29f9c02d,Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 ec792ad2433b6579f2566c932ee414111e194537,Person Transfer GAN to Bridge Domain Gap for Person Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

@@ -11869,16 +14628,19 @@ ec83c63e28ae2a658bc76a6750e078c3a54b9760,Deep Descriptor Transforming for Image
 ec83c63e28ae2a658bc76a6750e078c3a54b9760,Deep Descriptor Transforming for Image Co-Localization,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 ec0177cfdee435c6522ca4ee8a5f97ac0412472e,Reconstruction of images from Gabor graphs with applications in facial image processing,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 ec0177cfdee435c6522ca4ee8a5f97ac0412472e,Reconstruction of images from Gabor graphs with applications in facial image processing,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu,

-ece390deb6576dbc1fdf132f182a1cc75eb67832,Interleaved Group Convolutions for Deep Neural Networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+ece390deb6576dbc1fdf132f182a1cc75eb67832,Interleaved Group Convolutions for Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 ece390deb6576dbc1fdf132f182a1cc75eb67832,Interleaved Group Convolutions for Deep Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 ec488139105565477bb8a3c6cb3c874c35fcb2b6,Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 ec3472acc24fe5ef9eb07a31697f2cd446c8facc,"PixelNet: Representation of the pixels, by the pixels, and for the pixels",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,

 ec9f036195ccfdac51b6daf241c45ce7010d0d78,"Towards Open Ended Learning : Budgets , Model Selection , and Representation",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 ecc2ea05877d720b725fb89bc3b0586a51cabdc7,Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+ec2a887e02237e0b221b721eedac14254ec681cf,Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition algorithm in PCA subspace,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+ec3621e900cc50afd067584bb1246a8b4e338fa8,Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 372fefe66aa693e271ec6298fac1695208f36aee,Face deidentification with generative deep neural networks,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 372fefe66aa693e271ec6298fac1695208f36aee,Face deidentification with generative deep neural networks,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 372fefe66aa693e271ec6298fac1695208f36aee,Face deidentification with generative deep neural networks,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

+37b6d6577541ed991435eaf899a2f82fdd72c790,Vision-based Human Gender Recognition: A Survey,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu,

 378b6d94bacffb0fcc1063476a7b9694e877ba12,Scalable Hardware Efficient Deep Spatio-Temporal Inference Networks,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

 37bb9b45c6385789b819573b3716fe56a9e627db,Location Augmentation for CNN,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 370b6b83c7512419188f5373a962dd3175a56a9b,Face Alignment Refinement via Exploiting Low-Rank property and Temporal Stability,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu,

@@ -11888,23 +14650,34 @@ ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition a
 370b6b83c7512419188f5373a962dd3175a56a9b,Face Alignment Refinement via Exploiting Low-Rank property and Temporal Stability,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu,

 378ae5ca649f023003021f5a63e393da3a4e47f0,Multi-class object localization by combining local contextual interactions,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 37b3637dab65b91a5c91bb6a583e69c448823cc1,Learning a Hierarchical Latent-Variable Model of 3D Shapes,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,

+37b3637dab65b91a5c91bb6a583e69c448823cc1,Learning a Hierarchical Latent-Variable Model of 3D Shapes,Pennsylvania State University,Pennsylvania State University,,,,edu,

+37b3637dab65b91a5c91bb6a583e69c448823cc1,Learning a Hierarchical Latent-Variable Model of 3D Shapes,Pennsylvania State University,Pennsylvania State University,,,,edu,

 37ce1d3a6415d6fc1760964e2a04174c24208173,Pose-Invariant 3D Face Alignment,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+37a23e76674e606ce779131d2c93496e8a53bb2f,The discrete cosine transform ( DCT ) plus local normalization : a novel two-stage method for de-illumination in face recognition,China,China,China,35.86166000,104.19539700,edu,

 37a4199e63312f7901af853998951883e52ab062,Future Localization from an Egocentric Depth Image,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 37ef18d71c1ca71c0a33fc625ef439391926bfbb,Extraction of Subject-Specific Facial Expression Categories and Generation of Facial Expression Feature Space using Self-Mapping,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu,

 37ef18d71c1ca71c0a33fc625ef439391926bfbb,Extraction of Subject-Specific Facial Expression Categories and Generation of Facial Expression Feature Space using Self-Mapping,Akita University,Akita University,"秋田大学手形キャンパス, 秋田八郎潟線, 手形字扇田, 広面, 秋田市, 秋田県, 東北地方, 010-0864, 日本",39.72781420,140.13322566,edu,

 377f2b65e6a9300448bdccf678cde59449ecd337,Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu,

 377f2b65e6a9300448bdccf678cde59449ecd337,Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 37007af698b990a3ea8592b11d264b14d39c843f,DCMSVM: Distributed parallel training for single-machine multiclass classifiers,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+37eb666b7eb225ffdafc6f318639bea7f0ba9a24,"Age , Gender and Race Estimation from Unconstrained Face Images",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 372688ad240474724683703e65a02f30e8d293ff,Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 372688ad240474724683703e65a02f30e8d293ff,Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 372688ad240474724683703e65a02f30e8d293ff,Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 37bda16c9f204c98d4c57a6be00cee3db520643d,Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 37bda16c9f204c98d4c57a6be00cee3db520643d,Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 379aaada226a3629408dbb223c7a7252dcc425b8,Naturalistic Pain Synthesis for Virtual Patients,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+3748a828dabc6b5292b53cec6080cef33d78d3e3,On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3737961f634876f59d4ffd5bbd198bf38b2cfdda,Study the Behavior of Autistic Patients and Analysis of Amygdala Region of Brain to Explore Autism,Jahangirnagar University,Jahangirnagar University,"Jahangirnagar University, 1342, University Main Road, সাভার, সাভার উপজেলা, ঢাকা জেলা, ঢাকা বিভাগ, 1342, বাংলাদেশ",23.88331200,90.26939210,edu,

+375e478acf62eede1cc69693c54d81aa718df9e7,DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+375e478acf62eede1cc69693c54d81aa718df9e7,DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition,India,India,India,20.59368400,78.96288000,edu,

+370e0d9b89518a6b317a9f54f18d5398895a7046,Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+370e0d9b89518a6b317a9f54f18d5398895a7046,Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 37619564574856c6184005830deda4310d3ca580,A deep pyramid Deformable Part Model for face detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,China,China,China,35.86166000,104.19539700,edu,

 37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,China,China,China,35.86166000,104.19539700,edu,

 3714a415e63204e9c331b919cff6a14f7121c902,IMPROVING 3D FACE RECOGNITION MODEL GENERATION AND BIOMETRICS,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 37aa876f5202d1db6919f0a0dd5a0f76508c02fb,Occlusion-Aware Hand Pose Estimation Using Hierarchical Mixture Density Network,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,

 37f8449e776c9b8e3c121704590d24663001b3dd,Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -11916,6 +14689,8 @@ ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition a
 371f40f6d32ece05cc879b6954db408b3d4edaf3,Mining semantic affordances of visual object categories,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 37ba12271d09d219dd1a8283bc0b4659faf3a6c6,Domain transfer for person re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 374a0df2aa63b26737ee89b6c7df01e59b4d8531,Temporal Action Localization with Pyramid of Score Distribution Features,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+3762bde6d3f21e8abc549d70709984c36b6bf3b6,Domain Adaptation for Pedestrian Detection Based on Prediction Consistency,China,China,China,35.86166000,104.19539700,edu,

+3762bde6d3f21e8abc549d70709984c36b6bf3b6,Domain Adaptation for Pedestrian Detection Based on Prediction Consistency,China,China,China,35.86166000,104.19539700,edu,

 3759b4fa10eabe047ff417b3076458b44132dc8b,Person-of-interest detection system using cloud-supported computerized-eyewear,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 37f8e2749308294b31f0c222f703ef65af6e0e2b,Learning Uncertain Convolutional Features for Accurate Saliency Detection,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 37313658b217202298127dd704c8c1b5c15473ef,Semi-supervised learning and recognition of object classes,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -11932,9 +14707,14 @@ ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition a
 37832573b77b87f6ea0e6ecb52a8b3e6c4e05728,VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

 37af037923d0d7a4480a9c1f2e7d002f122bfebb,Recent Progress of Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 37586efdc0d56b1179aee3059bc18c84483e3bb9,Deep semantic ranking based hashing for multi-label image retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+37b0357d2db89bc4560d4201c3c2478988c87640,Face Recognition Based on Curvelet Transform and LS-SVM,China,China,China,35.86166000,104.19539700,edu,

 37a5f93048cbfb74d122455531b4bc4f6e15d48f,Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+37a5f93048cbfb74d122455531b4bc4f6e15d48f,Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System,China,China,China,35.86166000,104.19539700,edu,

 f984a5ad2d379b4e4b51005a73cdbd978ce3d810,ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+f93606d362fcbe62550d0bf1b3edeb7be684b000,Nearest Neighbor Classifier Based on Nearest Feature Decisions,India,India,India,20.59368400,78.96288000,edu,

+f93606d362fcbe62550d0bf1b3edeb7be684b000,Nearest Neighbor Classifier Based on Nearest Feature Decisions,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f9717a0056ad863c5f9dc00916ab87bdf1cdf5f7,Pose Flow: Efficient Online Pose Tracking,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+f9717a0056ad863c5f9dc00916ab87bdf1cdf5f7,Pose Flow: Efficient Online Pose Tracking,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 f989a20fbcc2d576c0c4514a0e5085c741580778,Co-localization with Category-Consistent Features and Geodesic Distance Propagation,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 f989a20fbcc2d576c0c4514a0e5085c741580778,Co-localization with Category-Consistent Features and Geodesic Distance Propagation,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 f989a20fbcc2d576c0c4514a0e5085c741580778,Co-localization with Category-Consistent Features and Geodesic Distance Propagation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -11946,6 +14726,8 @@ f9e388544ae371cdd1d73b2e444cb46d9532f530,Image Quality Assessment Guided Deep Ne
 f9e388544ae371cdd1d73b2e444cb46d9532f530,Image Quality Assessment Guided Deep Neural Networks Training,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 f9e388544ae371cdd1d73b2e444cb46d9532f530,Image Quality Assessment Guided Deep Neural Networks Training,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu,

+f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu,

 f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu,

 f9c563ec6c8238aaf420327bd7f9d8fbf8de3bce,An Evaluation on Color Invariant Based Local Spatiotemporal Features for Action Recognition,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu,

 f97342323ec16d67fcdd8969e5312e43d4a6edf8,Physical Models of Human Motion for Estimation and Scene Analysis,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

@@ -11955,8 +14737,10 @@ f95d53ff893305741d60e234772003ec8579828b,A 3D Morphable Model of the Eye Region,
 f91388f87e10674226f4def4cda411adc01da496,Failure to Affect Decision Criteria During Recognition Memory With Continuous Theta Burst Stimulation,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu,

 f91ac398724dd122c2fa165ec1cb779005f9f829,\pi Match: Monocular vSLAM and Piecewise Planar Reconstruction Using Fast Plane Correspondences,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu,

 f9cf3bbca1598a0309c1395c5a46f17f774f4094,Convex Class Model on Symmetric Positive Definite Manifolds,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+f921e6f5085f1ebbd8289081e499240a89bf6c43,Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f92ade569cbe54344ffd3bb25efd366dcd8ad659,Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu,

 f963967e52a5fd97fa3ebd679fd098c3cb70340e,"Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling",Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

+f9129b3858c14b5f6cca1fcbf31c4816d94a5038,A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f9b90d3c1e2c3d0f3d9a94e6a0aea5e3047bca78,Analysis of photometric factors based on photometric linearization.,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

 f9b90d3c1e2c3d0f3d9a94e6a0aea5e3047bca78,Analysis of photometric factors based on photometric linearization.,Okayama University,Okayama University,"岡山大学, 津高法界院停車場線, 津島東2, 津島東, 北区, 岡山市, 岡山県, 中国地方, 700-0081, 日本",34.68933930,133.92222720,edu,

 f9034d80a0c318a8c564ce3aa9d8545d871b9663,Facial Expression Recognition with Inconsistently Annotated Datasets,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -11966,6 +14750,8 @@ f909d04c809013b930bafca12c0f9a8192df9d92,Single image subspace for face recognit
 f94f79168c1cfaebb8eab5151e01d56478ab0b73,Optimizing Region Selection for Weakly Supervised Object Detection,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 f9570079f33ab11394175d57db0aa94251c48c61,Compositional GAN: Learning Conditional Image Composition,"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,

 f9b8539d48d6350435ab5550fd47451e779d2466,Accelerating image recognition on mobile devices using GPGPU,University of Oulu,University 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,

+f9b8539d48d6350435ab5550fd47451e779d2466,Accelerating image recognition on mobile devices using GPGPU,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+f9b8539d48d6350435ab5550fd47451e779d2466,Accelerating image recognition on mobile devices using GPGPU,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 f90b97008d921004487d1232ad20dcd9d678435f,Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 f90b97008d921004487d1232ad20dcd9d678435f,Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 f90b97008d921004487d1232ad20dcd9d678435f,Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

@@ -11984,20 +14770,32 @@ f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f,ReDMark: Framework for Residual Diffusi
 f94f366ce14555cf0d5d34248f9467c18241c3ee,Deep Convolutional Neural Network in Deformable Part Models for Face Detection,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu,

 f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,China,China,China,35.86166000,104.19539700,edu,

+f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,China,China,China,35.86166000,104.19539700,edu,

 f900538a682788fce19bd90277e9355db406e38b,Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 f9f01af981f8d25f0c96ea06d88be62dabb79256,Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 f9d171019bfeb71733fe36f7fae14f342ca9e51c,Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+f8a2a6b821a092ac43acd4e7366fe7c1e9285317,Attribute-controlled face photo synthesis from simple line drawing,China,China,China,35.86166000,104.19539700,edu,

+f8c94afd478821681a1565d463fc305337b02779,Design and Implementation of Robust Face Recognition System for Uncontrolled Pose and Illumination Changes,India,India,India,20.59368400,78.96288000,edu,

+f8c94afd478821681a1565d463fc305337b02779,Design and Implementation of Robust Face Recognition System for Uncontrolled Pose and Illumination Changes,India,India,India,20.59368400,78.96288000,edu,

 f83e563288e5d7a54444bbcf28a28a37b72a0644,Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 f8599ad5332cdf2c9919988ba300bb4b438b5834,Transitive Invariance for Self-Supervised Visual Representation Learning,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,

 f831f81f34a9c9dde41c5250b1a9dadf8ec8963b,Video Object Segmentation with Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 f831f81f34a9c9dde41c5250b1a9dadf8ec8963b,Video Object Segmentation with Re-identification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 f831f81f34a9c9dde41c5250b1a9dadf8ec8963b,Video Object Segmentation with Re-identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

+f8edb37ecc8e30392250af248c402fa3a118f8c7,Moving Pedestrian Detection Using Normed Proposals and Key Points Matching,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f8edb37ecc8e30392250af248c402fa3a118f8c7,Moving Pedestrian Detection Using Normed Proposals and Key Points Matching,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu,

 f8edb37ecc8e30392250af248c402fa3a118f8c7,Moving Pedestrian Detection Using Normed Proposals and Key Points Matching,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu,

+f8b37756c5d8b3af3bf78a2f3dae293725074965,CBVR for Face Based Digital Signatures,India,India,India,20.59368400,78.96288000,edu,

+f8b37756c5d8b3af3bf78a2f3dae293725074965,CBVR for Face Based Digital Signatures,India,India,India,20.59368400,78.96288000,edu,

 f8809a55945c283d249f4c4adb5d74e452cdfaa0,Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets,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,

+f8cfabecbe587c611de2696a37f96e3f77ac8555,NEMGAN: Noise Engineered Mode-matching GAN,India,India,India,20.59368400,78.96288000,edu,

 f8daab1e4f63051b78eb43e98ab723f6c425a6b5,Speaker Naming in Movies,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+f8f2d2910ce8b81cb4bbf84239f9229888158b34,A Generative Model for Recognizing Mixed Group Activities in Still Images,China,China,China,35.86166000,104.19539700,edu,

 f8f2d2910ce8b81cb4bbf84239f9229888158b34,A Generative Model for Recognizing Mixed Group Activities in Still Images,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu,

+f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,China,China,China,35.86166000,104.19539700,edu,

+f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,China,China,China,35.86166000,104.19539700,edu,

 f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu,

 f8b5ff1f9e5e07ae5ad3138236a079f7fb3ef95e,Discovering dynamic visemes,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

 f8a083e405a8205278135442e21311b43ab56027,Smombie Guardian: We watch for potential obstacles while you are walking and conducting smartphone activities,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu,

@@ -12006,9 +14804,12 @@ f8015e31d1421f6aee5e17fc3907070b8e0a5e59,Towards Usable Multimedia Event Detecti
 f8bebca34cc787dd2652deb182cf66d346d06094,Local response context applied to pedestrian detection,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu,

 f8bebca34cc787dd2652deb182cf66d346d06094,Local response context applied to pedestrian detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 f832fdf1fac092b4140bf81d38e6bc6af5c1ea65,Instance-Level Human Parsing via Part Grouping Network,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+f842b13bd494be1bbc1161dc6df244340b28a47f,An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach,China,China,China,35.86166000,104.19539700,edu,

+f842b13bd494be1bbc1161dc6df244340b28a47f,An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach,China,China,China,35.86166000,104.19539700,edu,

 f8f374e6ae12511589ddb8d31d775a62c558cfea,Multi-Class Object Classification and Lo- cation of Thermal Imagery in Electric Substation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 f8f374e6ae12511589ddb8d31d775a62c558cfea,Multi-Class Object Classification and Lo- cation of Thermal Imagery in Electric Substation,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu,

 f867cd63fa18da1c52061ba22954ee9d138906dd,Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

+f867cd63fa18da1c52061ba22954ee9d138906dd,Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 f83875c58014df78618e0d4ccd8e6fb48276dc04,ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 f8ddb2cac276812c25021b5b79bf720e97063b1e,A Comprehensive Empirical Study on Linear Subspace Methods for Facial Expression Analysis,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 f88a0f44ff7ec5fe0facf0facac0a094c7bd6cb8,Augmenting Image Question Answering Dataset by Exploiting Image Captions,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -12018,6 +14819,11 @@ f89edc5a4d938bf6df0a780163b872b9edeef5d8,Unified Cortical Surface Morphometry an
 f8e64dd25c3174dff87385db56abc48101b69009,Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 f8b61a8783ee8f10b5a62b484107b3d2bfd059a6,Deep attention-based classification network for robust depth prediction,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 f8b61a8783ee8f10b5a62b484107b3d2bfd059a6,Deep attention-based classification network for robust depth prediction,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

+f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,India,India,India,20.59368400,78.96288000,edu,

+f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,India,India,India,20.59368400,78.96288000,edu,

+f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,India,India,India,20.59368400,78.96288000,edu,

+f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -12028,6 +14834,7 @@ e33b5e91eb12ee3d7a5d134669994cbde6673df9,Automatic learning of British Sign Lang
 e3e98557ece5247661d849dc2d168f7498209e59,Learning Feature Hierarchies for Object Recognition,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 e3c8e49ffa7beceffca3f7f276c27ae6d29b35db,Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 e3c8e49ffa7beceffca3f7f276c27ae6d29b35db,Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

+e3582dffe5f3466cc5bc9d736934306c551ab33c,AttGAN: Facial Attribute Editing by Only Changing What You Want,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 e351beaa000aa5875d00fef12eb14e1cb91530bf,Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

 e351beaa000aa5875d00fef12eb14e1cb91530bf,Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

 e351beaa000aa5875d00fef12eb14e1cb91530bf,Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning,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,

@@ -12057,19 +14864,25 @@ e3bb83684817c7815f5005561a85c23942b1f46b,Face Verification using Correlation Fil
 e3bb83684817c7815f5005561a85c23942b1f46b,Face Verification using Correlation Filters,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,

 e38c7d4f8a4399f402ab6bb364ec662fe897bed1,"PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation",RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 e3fae8109ff2f91ebfa1bced01452a3998c40ade,Kernel-Based Nonparametric Fisher Classifier for Hyperspectral Remote Sensing Imagery,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+e3fae8109ff2f91ebfa1bced01452a3998c40ade,Kernel-Based Nonparametric Fisher Classifier for Hyperspectral Remote Sensing Imagery,China,China,China,35.86166000,104.19539700,edu,

 e37c8e2823cc3429caca4420f19adf329c62d313,Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu,

+e37c8e2823cc3429caca4420f19adf329c62d313,Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images,China,China,China,35.86166000,104.19539700,edu,

+e3f0c5a51d6c5085fbcb64d872d7db438da27474,Ubiquitously Supervised Subspace Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+e3b40ffd57a676aef377ef463849fd6b9a3d3b5d,Morphable hundred-core heterogeneous architecture for energy-aware computation,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 e35f4238bbc6c4acf4fce9591fa5cebf64fd0c2e,2017 / 2018 Mini-Project Creating Spaces that Understand People Employing Sensor Technologies to Inform the Design and Operation of Human-centred Spaces,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 e35f4238bbc6c4acf4fce9591fa5cebf64fd0c2e,2017 / 2018 Mini-Project Creating Spaces that Understand People Employing Sensor Technologies to Inform the Design and Operation of Human-centred Spaces,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu,

 e3c433ab9608d7329f944552ba1721e277a42d74,Transferring Rich Feature Hierarchies for Robust Visual Tracking,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 e3c433ab9608d7329f944552ba1721e277a42d74,Transferring Rich Feature Hierarchies for Robust Visual Tracking,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,

 e344cfff1ec2a46e230983157ef34efba5d65340,What makes an Image Iconic? A Fine-Grained Case Study.,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 e3faabdc800d2400f072eb5b48e9ad6dc94d7625,Locally Linear Embedded Eigenspace Analysis,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+e31f24b92a19aeb9a7611a9ca09223c8f5238ae1,Expression Empowered ResiDen Network for Facial Action Unit Detection,India,India,India,20.59368400,78.96288000,edu,

 e3f0e0dbc8e14e3dfb8fe9f9ecf6dab2c4713823,Human Action Recognition Based on Oriented Motion Salient Regions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 e3f0e0dbc8e14e3dfb8fe9f9ecf6dab2c4713823,Human Action Recognition Based on Oriented Motion Salient Regions,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

 e38592062592691c073c8e72052c02f5fe1fde7d,N IM as a Brain for a Humanoid Robot,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu,

 e3a7fca5f94d85814b600e870b90259eefedaf6e,Composable Unpaired Image to Image Translation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 e3a7fca5f94d85814b600e870b90259eefedaf6e,Composable Unpaired Image to Image Translation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 e392816ec3e0b131bbab06431ac85b14afa7d656,A Simple and Efficient Supervised Method for Spatially Weighted PCA in Face Image Analysis,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,

+e3f6108163b64ca4aa94d9be77c753b377fcda87,USING COMPETITIVE PROTOTYPES FOR THE VERIFICATION ON UNSPECIFIC PERSON,China,China,China,35.86166000,104.19539700,edu,

 e3b20cf421812dc96477a2074d0bb1ee83e6c98b,Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 e34aa1164def0063dd5e45107592313110adc9dd,Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu,

 e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee,Globally Consistent Multi-People Tracking using Motion Patterns,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

@@ -12081,46 +14894,60 @@ e328d19027297ac796aae2470e438fe0bd334449,Automatic Micro-expression Recognition
 e328d19027297ac796aae2470e438fe0bd334449,Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 e3e2c106ccbd668fb9fca851498c662add257036,"Appearance, context and co-occurrence ensembles for identity recognition in personal photo collections",University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu,

 e3e36ccd836458d51676789fb133b092d42dac16,Deep learning prototype domains for person re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+e30b14ad7341a596768bd67f854d1ed4ede2abc8,A Principal Component Analysis Method for Recognition of Human Faces : Eigenfaces Approach,India,India,India,20.59368400,78.96288000,edu,

+e30b14ad7341a596768bd67f854d1ed4ede2abc8,A Principal Component Analysis Method for Recognition of Human Faces : Eigenfaces Approach,India,India,India,20.59368400,78.96288000,edu,

 322a7dad274f440a92548faa8f2b2be666b2d01f,Pyramid Scene Parsing Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 322a7dad274f440a92548faa8f2b2be666b2d01f,Pyramid Scene Parsing Network,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 328bc4d5495723f9a1037660b5d9c1176713bf24,Unimpaired Attentional Disengagement and Social Orienting in Children With Autism,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 32799cee51933ac4e1999358bad64817985826d7,Player Experience Extraction from Gameplay Video,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+320e2c950d5b31cb371208a6b752a94585ac6665,Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 325723a7fa69f9976feeab5ba9abd3c11e3f7c80,Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 32d8e555441c47fc27249940991f80502cb70bd5,Machine Learning Models that Remember Too Much,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 324608bf8fecc064bc491da21291465ab42fa6b6,Matching-CNN meets KNN: Quasi-parametric human parsing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 3213390558a08e35222eec6fb028c8cfaa0c80c2,Non-sparse linear representations for visual tracking with online reservoir metric learning,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 32c7e4f6d7848676922705484a00c94dac803af9,Learning Articulated Object Models from Language and Vision,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 324c91551c3cde44bbcb9d97bc14db7ca6d31850,"Infancy and autism: progress, prospects, and challenges.",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+321d1f8d13075275b207dd048e9b655aa8846d57,Thermal Tracking of Sports Players,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 321d1f8d13075275b207dd048e9b655aa8846d57,Thermal Tracking of Sports Players,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 32c9ebd2685f522821eddfc19c7c91fd6b3caf22,Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 32c9ebd2685f522821eddfc19c7c91fd6b3caf22,Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

 322eff0dbf5d7dc18688be29ad5fd7eb8c8d6d54,SLTP: A Fast Descriptor for People Detection in Depth Images,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 322eff0dbf5d7dc18688be29ad5fd7eb8c8d6d54,SLTP: A Fast Descriptor for People Detection in Depth Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+32420c65f8ef0c5bd83b14c8ae662cbce73e6781,Face Recognition with Local Binary Patterns,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 32c801cb7fbeb742edfd94cccfca4934baec71da,Multi-source Multi-scale Counting in Extremely Dense Crowd Images,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 32c801cb7fbeb742edfd94cccfca4934baec71da,Multi-source Multi-scale Counting in Extremely Dense Crowd Images,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 3233e80170115db43d0fe6663c84a9bda03f2d6b,Similarity Reasoning over Semantic Context–graphs,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 32b7b671c786aa74f7d8f9817b12b3a59c0b84c2,A Bayesian Model of Grounded Color Semantics,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 32b7b671c786aa74f7d8f9817b12b3a59c0b84c2,A Bayesian Model of Grounded Color Semantics,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b,Lighting Aware Preprocessing for Face Recognition across Varying Illumination,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b,Lighting Aware Preprocessing for Face Recognition across Varying Illumination,China,China,China,35.86166000,104.19539700,edu,

 32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b,Lighting Aware Preprocessing for Face Recognition across Varying Illumination,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 3283477ebd49488e1f3c78e6e828678ea2bb815b,Cauchy Principal Component Analysis,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,

 329d58e8fb30f1bf09acb2f556c9c2f3e768b15c,Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 329d58e8fb30f1bf09acb2f556c9c2f3e768b15c,Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+32732095eae3a33614cd6cef2a82e6189f5a28a9,Locally linear representation for subspace learning and clustering,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 32c20afb5c91ed7cdbafb76408c3a62b38dd9160,Viewing Real-World Faces in 3D,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

+3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d,Deep Semantic Pyramids for Human Attributes and Action Recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 32812f35efab1fc5bdbcc17d67f27bba31c720c6,Dropout during inference as a model for neurological degeneration in an image captioning network,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+32ac4e5a8dee203c0b99e15484893fd9d62de43a,Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation,China,China,China,35.86166000,104.19539700,edu,

 32ac4e5a8dee203c0b99e15484893fd9d62de43a,Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

-321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu,

+3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu,

+3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu,

+3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu,

+3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu,

 329394480fc5e9e96de4250cc1a2b060c3677c94,Improved Dense Trajectory with Cross Streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 329394480fc5e9e96de4250cc1a2b060c3677c94,Improved Dense Trajectory with Cross Streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 329394480fc5e9e96de4250cc1a2b060c3677c94,Improved Dense Trajectory with Cross Streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 328bfd1d0229bc4973277f893abd1eb288159fc9,A review of the literature on the aging adult skull and face: implications for forensic science research and applications.,University of North Carolina at Wilmington,University of North Carolina at Wilmington,"University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA",34.22498270,-77.86907744,edu,

 328bfd1d0229bc4973277f893abd1eb288159fc9,A review of the literature on the aging adult skull and face: implications for forensic science research and applications.,University of North Carolina at Wilmington,University of North Carolina at Wilmington,"University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA",34.22498270,-77.86907744,edu,

+324f39fb5673ec2296d90142cf9a909e595d82cf,Relationship Matrix Nonnegative Decomposition for Clustering,China,China,China,35.86166000,104.19539700,edu,

 32c45df9e11e6751bcea1b928f398f6c134d22c6,Towards Unified Object Detection and Semantic Segmentation,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 323f9ae6bdd2a4e4dce4168f7f7e19c70585c9b5,Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 325d145af5f38943e469da6369ab26883a3fd69e,Colorful Image Colorization,"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,

@@ -12137,6 +14964,7 @@ e3e36ccd836458d51676789fb133b092d42dac16,Deep learning prototype domains for per
 326b9c8391e89f5bd032aebd1b65e925083c269b,Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,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,

 326b9c8391e89f5bd032aebd1b65e925083c269b,Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 326b9c8391e89f5bd032aebd1b65e925083c269b,Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+329c06c00c627c0b041d330f3c0142a88b7cb1e5,Bayesian Sparsification of Gated Recurrent Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 32f37cbc7806c37e8b618d935800bdcd6e7108cc,RHYTHMIC GAIT SIGNATURES FROM VIDEO WITHOUT MOTION CAPTURE,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 32f37cbc7806c37e8b618d935800bdcd6e7108cc,RHYTHMIC GAIT SIGNATURES FROM VIDEO WITHOUT MOTION CAPTURE,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 32eeba2ff1ef4259de7802c8ee8cecb6d6c581a3,Isometric Projection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

@@ -12149,6 +14977,7 @@ e3e36ccd836458d51676789fb133b092d42dac16,Deep learning prototype domains for per
 320fa825e86f3b74ba3b3ebaef14e1186784f1ec,Exploit the Unknown Gradually : One-Shot Video-Based Person Re-Identification by Stepwise Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 320fa825e86f3b74ba3b3ebaef14e1186784f1ec,Exploit the Unknown Gradually : One-Shot Video-Based Person Re-Identification by Stepwise Learning,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 3210666306517c4ef9a4c1a4463c728b0e3aeb72,Angle Tree: Nearest Neighbor Search in High Dimensions with Low Intrinsic Dimensionality,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

+32c6086b1605698c8b775b6920741981e85b217d,Wearable Computing Designing and Sharing Activity-Recognition Systems Across Platforms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 3239f9fb3c11cc29c65664254133beb339f13f40,Low-Resolution Vision for Autonomous Mobile Robots,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

 3240c9359061edf7a06bfeb7cc20c103a65904c2,PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 fb28c33b29763a53abe99cb7ee6c1a86bc32a27c,Learning to Interpret Satellite Images Using Wikipedia,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -12164,6 +14993,8 @@ fbfb0de017d57c5f282050dadb77797d97785ba5,Enabling EBGM Face Authentication on mo
 fb35a3dadbe6d9a1823eb12e33fccf9a3db3c2a2,Avoidant Responses to Interpersonal Provocation Are Associated with Increased Amygdala and Decreased Mentalizing Network Activity,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 fb87045600da73b07f0757f345a937b1c8097463,Reflective Regression of 2D-3D Face Shape Across Large Pose,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu,

 fbb6ee4f736519f7231830a8e337b263e91f06fe,Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59,Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59,Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 fbb37d4700fa54468a1b86d9e0d4fa77a0f53195,Fused HMM adaptation of synchronous HMMs for audio-visual speaker verification,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 fbd5c9bbfb43aa4734cde7863897600fd42eb8ff,Person Detection in the Restaurant of the Future,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 fb22404e46dd46b2c2cb9a85227a1ab6a8ae4f52,Micro-analytics for Student Performance Prediction Leveraging fine-grained learning analytics to predict performance,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

@@ -12171,6 +15002,8 @@ fba95853ca3135cc52a4b2bc67089041c2a9408c,Disguised Faces in the Wild,Indian Inst
 fba95853ca3135cc52a4b2bc67089041c2a9408c,Disguised Faces in the Wild,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 fb0062eadbaae53c0fb001d0add7ea8d0f7029cd,Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 fb0062eadbaae53c0fb001d0add7ea8d0f7029cd,Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+fbace36d9161fbd062eefa0c005362bb210c7097,VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

+fb732b15fd5235893228ad3249cf04e1809034c9,CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 fbdfed192ea0e6508d931b3d00335d99e976c0d7,From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 fbdfed192ea0e6508d931b3d00335d99e976c0d7,From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 fbdfed192ea0e6508d931b3d00335d99e976c0d7,From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

@@ -12196,8 +15029,14 @@ fb084b1fe52017b3898c871514cffcc2bdb40b73,Illumination Normalization of Face Imag
 fba539b41786f837acc5e5d876aaa7c6f3fc376c,Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu,

 fba539b41786f837acc5e5d876aaa7c6f3fc376c,Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu,

 fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu,

+fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu,

 fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu,

 fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu,

+fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu,

+fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu,

 fb54d3c37dc82891ff9dc7dd8caf31de00c40d6a,Beauty and the Burst: Remote Identification of Encrypted Video Streams,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 fb54d3c37dc82891ff9dc7dd8caf31de00c40d6a,Beauty and the Burst: Remote Identification of Encrypted Video Streams,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the Effects of Cannabis on Emotion Processing.,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

@@ -12236,6 +15075,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 9f829eb41c2ecb850fe20329e7da06eb369151f9,Deep representation learning with target coding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 9f829eb41c2ecb850fe20329e7da06eb369151f9,Deep representation learning with target coding,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 9f829eb41c2ecb850fe20329e7da06eb369151f9,Deep representation learning with target coding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -12263,6 +15103,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 9f2d7b7f5d983cfc02dc3b06dadddc4902afdd83,Semi-supervised learning for scalable and robust visual search,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 9f6ca02ade848368a5e762cc3cf55a881c082faa,Motion Feature Network: Fixed Motion Filter for Action Recognition,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 9fe55487c40983b1da71c073104cdc2d6f5cc7bf,"Hybrid human-machine vision systems: image annotation using crowds, experts and machines",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+9fd5ecc538a9344814dc00b92beb45c54d5dff3e,NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+9fd5ecc538a9344814dc00b92beb45c54d5dff3e,NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9fa5d5b2cd6d625973d735e70d44824eb0118a33,Contour-Based Large Scale Image Retrieval,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 4ff11512e4fde3d1a109546d9c61a963d4391add,Selecting Vantage Points for an Autonomous Quadcopter Videographer,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 4f9fe0f537419520b1d598567ddda3650debf3f5,Fairness for Whom? Critically reframing fairness with Nash Welfare Product,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -12276,8 +15118,11 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4ffe93dfb895c86ebad874c70113c4870c9bd5e3,Pose Machines: Articulated Pose Estimation via Inference Machines,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,

 4f36755fd732684b977a041ee3b0acc3492e5b6e,Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu,

 4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7,Fashion Landmark Detection in the Wild,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7,Fashion Landmark Detection in the Wild,China,China,China,35.86166000,104.19539700,edu,

+4f5e1e70f51b30e4606f991ed0e912c84af90251,Using maximum consistency context for multiple target association in wide area traffic scenes,China,China,China,35.86166000,104.19539700,edu,

 4f5e1e70f51b30e4606f991ed0e912c84af90251,Using maximum consistency context for multiple target association in wide area traffic scenes,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a,Automatic Generation of Grounded Visual Questions,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

+4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a,Automatic Generation of Grounded Visual Questions,China,China,China,35.86166000,104.19539700,edu,

 4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a,Automatic Generation of Grounded Visual Questions,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 4fc96ad5c9c0155961ace769f3a73b728854fa98,Three-Dimensional Face Recognition Using Surface Space Combinations,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 4f6e1fe403b13279cd4674615d6d07ce002c9dec,Is there a connection between face symmetry and face recognition?,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

@@ -12296,7 +15141,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4f9beb035a3d196f653e8528303fdf9ded998e22,Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision,University of Padova,University of Padova,"Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy",45.40811720,11.89437860,edu,"University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy"

 4f36c14d1453fc9d6481b09c5a09e91d8d9ee47a,Video-Based Face Recognition Using the Intra / Extra-Personal Difference Dictionary,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 4f36c14d1453fc9d6481b09c5a09e91d8d9ee47a,Video-Based Face Recognition Using the Intra / Extra-Personal Difference Dictionary,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

-4f90acbfe479bad10b1c733dc7e6a174fd4b2870,Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+4f90acbfe479bad10b1c733dc7e6a174fd4b2870,Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 4fa2b00f78b2a73b63ad014f3951ec902b8b24ae,Semi-supervised hashing for scalable image retrieval,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 4fa2b00f78b2a73b63ad014f3951ec902b8b24ae,Semi-supervised hashing for scalable image retrieval,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 4f9e00aaf2736b79e415f5e7c8dfebda3043a97d,"Machine Audition : Principles , Algorithms and Systems",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

@@ -12304,10 +15149,13 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4f09328793b907074adc8d4e10d2d763d7a4b513,NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

 4f6ab8af1b059e6130d5fd8c4e4adee4079ae2e6,Selective Search for Object Recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

+4fdbe95edb967bfc0b44f0fa291cd86b178fca2e,"Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

-4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,China,China,China,35.86166000,104.19539700,edu,

+4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 4fcf1bfc2a8989412adb67c97ce1bee72a996fff,3D morphable model construction for robust ear and face recognition,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 4f3656da4cbd1979a5fa763f90defa1f90d53583,CHAPTER 10 Audio-Visual Automatic Speech Recognition : An Overview,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 4f3656da4cbd1979a5fa763f90defa1f90d53583,CHAPTER 10 Audio-Visual Automatic Speech Recognition : An Overview,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

@@ -12320,6 +15168,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu,

 4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

+4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 4f19d33e808a6675f11fb624499d303368deafa1,Learning Monocular Depth by Distilling Cross-Domain Stereo Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 4f0d9200647042e41dea71c35eb59e598e6018a7,Experiments of Image Retrieval Using Weak Attributes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 4f71709f08a451fceaaeaf6b3c814d137c8941e1,Multiview Cross-supervision for Semantic Segmentation,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

@@ -12329,7 +15178,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4f49ee1348f7731786a11ce2c32eb635de99be43,Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 4f0b8f730273e9f11b2bfad2415485414b96299f,BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 4f0b8f730273e9f11b2bfad2415485414b96299f,BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,China,China,China,35.86166000,104.19539700,edu,

 4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 4f81f0c0019862046710d70b6ea880f989949e9a,An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

 4f81f0c0019862046710d70b6ea880f989949e9a,An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

@@ -12344,15 +15194,20 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 9ed4ad41cbad645e7109e146ef6df73f774cd75d,RPM: Random Points Matching for Pair wise Face-Similarity,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 9ed4ad41cbad645e7109e146ef6df73f774cd75d,RPM: Random Points Matching for Pair wise Face-Similarity,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 9e42d44c07fbd800f830b4e83d81bdb9d106ed6b,Learning Discriminative Aggregation Network for Video-Based Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+9e42d44c07fbd800f830b4e83d81bdb9d106ed6b,Learning Discriminative Aggregation Network for Video-Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+9e42d44c07fbd800f830b4e83d81bdb9d106ed6b,Learning Discriminative Aggregation Network for Video-Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 9ef9046cc26946acedda3f515d9149a76e19cd6e,A Unified Multi-Faceted Video Summarization System,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 9ec74521d03d41f4157a458513c79017dd066a38,Semantic Stixels fusing LIDAR for Scene Perception,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 9e182e0cd9d70f876f1be7652c69373bcdf37fb4,Talking Face Generation by Adversarially Disentangled Audio-Visual Representation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 9e1c3c7f1dce662a877727a821bdf41c5cd906bb,Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions.,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 9ea223c070ec9a00f4cb5ca0de35d098eb9a8e32,Exploring Temporal Preservation Networks for Precise Temporal Action Localization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+9ea223c070ec9a00f4cb5ca0de35d098eb9a8e32,Exploring Temporal Preservation Networks for Precise Temporal Action Localization,China,China,China,35.86166000,104.19539700,edu,

 9ed34ce4c6ca510a6027ae9eefc5dd0d9e0b876d,CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu,

+9ef73533507b46278d0d27c41e16af2b8ecf23ef,A comparative assessment of appearance based feature extraction techniques and their susceptibility to image degradations in face recognition systems,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9e1b3cf334aead8d2c29747f6ee7d1291dd83708,Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 9eef5dd3e69f74049530cafd473b49db07e311ae,er s Amodal 3 D Box Estimation 3 D Instance SegmentationFrustum Proposal segmented object points ( m points ) k 2 d region proposal,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 9e5378e7b336c89735d3bb15cf67eff96f86d39a,Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+9e5378e7b336c89735d3bb15cf67eff96f86d39a,Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters,China,China,China,35.86166000,104.19539700,edu,

 9e31e77f9543ab42474ba4e9330676e18c242e72,The Devil of Face Recognition is in the Noise,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 9e31e77f9543ab42474ba4e9330676e18c242e72,The Devil of Face Recognition is in the Noise,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 9ed943f143d2deaac2efc9cf414b3092ed482610,Independent Subspace of Dynamic Gabor Features for Facial Expression Classification,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu,

@@ -12374,9 +15229,11 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu,

 9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,Changzhou University,"Changzhou University, Changzhou, China","1 Gehu Middle Rd, Wujin Qu, Changzhou Shi, Jiangsu Sheng, China",31.68423700,119.95514100,edu,

 9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,China,China,China,35.86166000,104.19539700,edu,

 9e48808f283598edb5a78ec2590a35ff163cc8ed,Stochastic Segmentation Trees for Multiple Ground Truths,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 9ea337ffdf652803c805074d61b2d6a8d7040e95,PATTERN RECOGNITION USING COMPOSITE FEATURES,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 9e1c3b8b1653337094c1b9dba389e8533bc885b0,Demographic Classification with Local Binary Patterns,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+9e6ecc12794f1d3215f93376a32b350a0492ceb0,Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 9ebd150e340fd7e1f67cd50458e80508d6332c1b,Intelligent Pedestrian Detection u sing Optical Flow and HOG,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 9eb891b89443bdfc8434e4c9e08dda0253fd242c,Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 9e1a96e0fc5d8867e82e6262a8d9499b3ae806e5,Spoofing 2D face recognition systems with 3D masks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

@@ -12384,19 +15241,26 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 9ea25c97f3dee29f7861ab4110ca90b4ec0af01b,Robust Out-of-Sample Data Recovery,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 9ea1623c3f8a744f70d75fa29b8b00bb5ed13f2a,Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 9e965f37e6f59e210a3540a67d1ae8633a5f9b3e,A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

+9e965f37e6f59e210a3540a67d1ae8633a5f9b3e,A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net,China,China,China,35.86166000,104.19539700,edu,

 9e965f37e6f59e210a3540a67d1ae8633a5f9b3e,A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu,

 9ed7d774684a1770445c1c53e276011a8364b9e2,Uncovering Temporal Context for Video Question and Answering,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,

 9ed7d774684a1770445c1c53e276011a8364b9e2,Uncovering Temporal Context for Video Question and Answering,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 9e4cd22ab92adcd74014709167b6cbb97baa3d1c,BEAR MOUSE DOG TIGER Compatibility function : Classification model : Inference function : Objective function : Optimization TRAINING TESTING Seen Objects Seen Labels Unseen Objects Unseen Labels Feature Embedding Semantic Embedding Feature Extraction Semantic Extraction,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 765263556ce90c5c0d86d3e6d8a21e04a307b60d,Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

+769461ff717d987482b28b32b1e2a6e46570e3ff,MIC-TJU in MediaEval 2017 Emotional Impact of Movies Task.,China,China,China,35.86166000,104.19539700,edu,

 769461ff717d987482b28b32b1e2a6e46570e3ff,MIC-TJU in MediaEval 2017 Emotional Impact of Movies Task.,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 7643861bb492bf303b25d0306462f8fb7dc29878,Speeding up 2D-warping for pose-invariant face recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34,What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+766728bac030b169fcbc2fbafe24c6e22a58ef3c,A survey of deep facial landmark detection,"Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France","Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France","7 Passage du Vercors, 69007 Lyon, France",45.72803070,4.82594290,edu,

+765f01e10ef2df381ad8173d90763d218f4da9e1,A Novel Mechanism of Face Recognition Using Stepwise Linear Discriminant Analysis and Linear Vector Quantization Classifiers,India,India,India,20.59368400,78.96288000,edu,

 7697c8a0eea8b4f7e9b5c3378879cf34ba6d79b3,On Decomposing an Unseen 3D Face into Neutral Face and Expression Deformations,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 76b227facbcd75cda35cb5bb8063d8d5cfcec4d0,Expression Recognition Using the Periocular Region: A Feasibility Study,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 76b227facbcd75cda35cb5bb8063d8d5cfcec4d0,Expression Recognition Using the Periocular Region: A Feasibility Study,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

 76b6577f47d6782bf75aca04e361a7b7381b4a84,Measuring and Modifying the Intrinsic Memorability of Images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

+765b2cb322646c52e20417c3b44b81f89860ff71,PoseShop: Human Image Database Construction and Personalized Content Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+765b2cb322646c52e20417c3b44b81f89860ff71,PoseShop: Human Image Database Construction and Personalized Content Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 769d1a0aff0cf7842c7861d30ce654a029d6b467,Descriptor learning based on fisher separation criterion for texture classification,University of Oulu,University 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,

+769d1a0aff0cf7842c7861d30ce654a029d6b467,Descriptor learning based on fisher separation criterion for texture classification,China,China,China,35.86166000,104.19539700,edu,

 76d955e83b1d64de95f37336322cbbca0019e3b2,Robust and Efficient Subspace Segmentation via Least Squares Regression,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 76d955e83b1d64de95f37336322cbbca0019e3b2,Robust and Efficient Subspace Segmentation via Least Squares Regression,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 76d955e83b1d64de95f37336322cbbca0019e3b2,Robust and Efficient Subspace Segmentation via Least Squares Regression,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

@@ -12404,6 +15268,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 765094fa3cd745bed29c20dad92dbed8c4cfebea,Applying Biometric Principles to Avatar Recognition,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 765094fa3cd745bed29c20dad92dbed8c4cfebea,Applying Biometric Principles to Avatar Recognition,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu,

 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,China,China,China,35.86166000,104.19539700,edu,

 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

@@ -12413,6 +15278,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 7675774227157bec91218d6798680f58deaf8bb3,Learning View Priors for Single-view 3D Reconstruction.,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 76fd59062e563353097694d38855e94efbd53143,3D Face Reconstruction from Light Field Images: A Model-Free Approach,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 76fd59062e563353097694d38855e94efbd53143,3D Face Reconstruction from Light Field Images: A Model-Free Approach,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu,

+76673de6d81bedd6b6be68953858c5f1aa467e61,Discovering a Lexicon of Parts and Attributes,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 768c332650a44dee02f3d1d2be1debfa90a3946c,Bayesian face recognition using support vector machine and face clustering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 76615d7bc69ef0e50338a8c3e59c75d361ef0db4,Learning a compact latent representation of the Bag-of-Parts model,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 76cd878c37bcdb8b3ae678e96c9b7700184ddb46,Athlete Pose Estimation from Monocular TV Sports Footage,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

@@ -12420,15 +15286,19 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 76cd878c37bcdb8b3ae678e96c9b7700184ddb46,Athlete Pose Estimation from Monocular TV Sports Footage,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 76b5ce50ab603a6d175fd21f4b1404dff3c897c2,Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 76b5ce50ab603a6d175fd21f4b1404dff3c897c2,Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+76b5ce50ab603a6d175fd21f4b1404dff3c897c2,Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy,China,China,China,35.86166000,104.19539700,edu,

 760a8a46089ca9fc7d06ea44b207b948569237ba,Learning a Deep Embedding Model for Zero-Shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 7605857f551d128e7c3babfc019950250f81bca9,Reciprocal Attention Fusion for Visual Question Answering,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+7605857f551d128e7c3babfc019950250f81bca9,Reciprocal Attention Fusion for Visual Question Answering,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 76d939f73a327bf1087d91daa6a7824681d76ea1,A Thermal Facial Emotion Database and Its Analysis,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu,

 76f7664511917bb575081ad3555e383de54562f1,'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 76f7664511917bb575081ad3555e383de54562f1,'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 766039c203f76009c5efabe7b24914cc66fe117f,"""BAM!"" Depth-Based Body Analysis in Critical Care",Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 76ce3d35d9370f0e2e27cfd29ea0941f1462895f,Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

+76ce3d35d9370f0e2e27cfd29ea0941f1462895f,Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU,China,China,China,35.86166000,104.19539700,edu,

 7673d5fa77770629d040fae54c214c60ba69574c,Moving Object Detection from Mobile Platforms Using Stereo Data Registration,University of the Basque Country,University of the Basque Country,"Euskal Herriko Unibertsitatea, Ibaeta Campusa, Paseo Arriola pasealekua, Ibaeta, Donostia/San Sebastián, Donostialdea, Gipuzkoa, Euskadi, 20008, España",43.30927695,-2.01066785,edu,

 7688187b1ce5cbb1413d075f435ff294ba09cadc,Robust precise eye location by adaboost and SVM techniques,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+7688187b1ce5cbb1413d075f435ff294ba09cadc,Robust precise eye location by adaboost and SVM techniques,China,China,China,35.86166000,104.19539700,edu,

 76a2846d17521149a118fd54083f8a51646e2804,Context-aware Deep Feature Compression for High-speed Visual Tracking,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 76a2846d17521149a118fd54083f8a51646e2804,Context-aware Deep Feature Compression for High-speed Visual Tracking,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,

 76a2846d17521149a118fd54083f8a51646e2804,Context-aware Deep Feature Compression for High-speed Visual Tracking,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

@@ -12452,14 +15322,26 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 065cd334cb3d7c102e420484bf052e93773dbd8a,Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 06a6976d9a3deac30b0a571d31f85c11ae4eb8ad,A Novel Human Detection Approach Based on Depth Map via Kinect,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu,

 06a6976d9a3deac30b0a571d31f85c11ae4eb8ad,A Novel Human Detection Approach Based on Depth Map via Kinect,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu,

+06a6976d9a3deac30b0a571d31f85c11ae4eb8ad,A Novel Human Detection Approach Based on Depth Map via Kinect,China,China,China,35.86166000,104.19539700,edu,

+06c333fc146d0a87f591c82a1f22925ccef378b1,Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights,China,China,China,35.86166000,104.19539700,edu,

+06c333fc146d0a87f591c82a1f22925ccef378b1,Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights,China,China,China,35.86166000,104.19539700,edu,

 06f8aa1f436a33014e9883153b93581eea8c5c70,Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 06325345f9ffef958d9d7c704b28e6cbb3021b8c,Price theory based power management for heterogeneous multi-cores,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 06b5aa440151a1c290d3840b6b533baec6b15439,Towards a Meaningful 3D Map Using a 3D Lidar and a Camera,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Helsinki,"HIIT, University of Helsinki","Yliopistonkatu 4, 00100 Helsinki, Finland",60.17263480,24.95104190,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Helsinki,"HIIT, University of Helsinki","Yliopistonkatu 4, 00100 Helsinki, Finland",60.17263480,24.95104190,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Helsinki,"HIIT, University of Helsinki","Yliopistonkatu 4, 00100 Helsinki, Finland",60.17263480,24.95104190,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu,

 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 063f78c20405158d87114a8aef1bb7557230bd89,An improved deep learning architecture for person re-identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+064aaad2a9ac5044b333714e61955631faee87fd,Face Recognition using Radial Curves and Back Propagation Neural Network for frontal faces under various challenges,India,India,India,20.59368400,78.96288000,edu,

 06d7ef72fae1be206070b9119fb6b61ce4699587,On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,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,

 06d7ef72fae1be206070b9119fb6b61ce4699587,On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,University of Patras,University of Patras,"Πανεπιστήμιο Πατρών, Λεωφ. Ιπποκράτους, κ. Ρίου (Αγίου Γεωργίου Ρίου), Πάτρα, Δήμος Πατρέων, Περιφερειακή Ενότητα Αχαΐας, Περιφέρεια Δυτικής Ελλάδας, Πελοπόννησος, Δυτική Ελλάδα και Ιόνιο, 26443, Ελλάδα",38.28994820,21.78864690,edu,

 06d7ef72fae1be206070b9119fb6b61ce4699587,On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

@@ -12467,12 +15349,18 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 064cd41d323441209ce1484a9bba02a22b625088,Selective Transfer Machine for Personalized Facial Action Unit Detection,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 064cd41d323441209ce1484a9bba02a22b625088,Selective Transfer Machine for Personalized Facial Action Unit Detection,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 0657da204bbd5f1e92882b2ccdf4f883659ccd37,Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+06560d5721ecc487a4d70905a485e22c9542a522,Deep Facial Attribute Detection in the Wild: From General to Specific,China,China,China,35.86166000,104.19539700,edu,

 062723093e77d942471a77f1a89614d05216a275,DAVE: A Unified Framework for Fast Vehicle Detection and Annotation,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 06554235c2c9361a14c0569206b58a355a63f01b,Zero-Shot Learning Through Cross-Modal Transfer,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 062cea54e5d58ee41aea607cbf2ba0cf457aa4e7,The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

+062cea54e5d58ee41aea607cbf2ba0cf457aa4e7,The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+067e2b673e75a25c47cb0a5528dad41c02402251,Interactive Retrieval in Facial Image Database Using Self-Organizing Maps,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 06b6606e47e071bbe070093c78120207578126fd,Total Moving Face Reconstruction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 06625b0c5747ccb8524fec9f44e4a8aa1ecc2151,Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 06ca83cc7def5b0d582f4d933057c4370a6345d7,Training Object Class Detectors with Click Supervision,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+06aab105d55c88bd2baa058dc51fa54580746424,Image Set-Based Collaborative Representation for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+06aab105d55c88bd2baa058dc51fa54580746424,Image Set-Based Collaborative Representation for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+06a23ffbd9752ce204197df59812b2ebd1a097ff,Feedforward semantic segmentation with zoom-out features,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu,

 06cad81a163e345828c0804f42252177049dd1bc,Sequence to Sequence -- Video to Text,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 06cad81a163e345828c0804f42252177049dd1bc,Sequence to Sequence -- Video to Text,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu,

 06cad81a163e345828c0804f42252177049dd1bc,Sequence to Sequence -- Video to Text,"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,

@@ -12483,17 +15371,22 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 06850b60e33baa4ea9473811d58c0d5015da079e,A Survey of the Trends in Facial and Expression Recognition Databases and Methods,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 06850b60e33baa4ea9473811d58c0d5015da079e,A Survey of the Trends in Facial and Expression Recognition Databases and Methods,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 06ba3492e3a9a2e98df2c81b91ec94787e3f97fb,"VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions",University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

+06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f,Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 06890d068a7fb82fa78443038ad26ca7623f7a98,Socially-Aware Large-Scale Crowd Forecasting,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 06890d068a7fb82fa78443038ad26ca7623f7a98,Socially-Aware Large-Scale Crowd Forecasting,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 06bad0cdda63e3fd054e7b334a5d8a46d8542817,Sharing features between objects and their attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 06bad0cdda63e3fd054e7b334a5d8a46d8542817,Sharing features between objects and their attributes,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,

 06f2df0ec9ab6968411e34f581dd8f5d40500d7f,The fusiform face area: a cortical region specialized for the perception of faces.,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 06f2df0ec9ab6968411e34f581dd8f5d40500d7f,The fusiform face area: a cortical region specialized for the perception of faces.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

+06e9149b7ef8bff3a4b5a18fe01da9a522f91891,SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+06e9149b7ef8bff3a4b5a18fe01da9a522f91891,SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 062fe178edf6aadd98ad6c0ce20e68c8160d0824,An active search strategy for efficient object class detection,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 0687e472b5accce40299a6dd109c38e4167fea94,Learning Image Representations for Efficient Recognition of Novel Classes,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 060ea3f72ee63d909600caad168cb26b4777b19e,Fusion of Likelihood Ratio Classifier with ICP-based Matcher for 3 D Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 061e29eae705f318eee703b9e17dc0989547ba0c,Enhancing Expression Recognition in the Wild with Unlabeled Reference Data,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+061e29eae705f318eee703b9e17dc0989547ba0c,Enhancing Expression Recognition in the Wild with Unlabeled Reference Data,China,China,China,35.86166000,104.19539700,edu,

 0641dbee7202d07b6c78a39eecd312c17607412e,Null space clustering with applications to motion segmentation and face clustering,"Australian National University, Canberra","Australian National University, Canberra","Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia",-35.28121335,149.11665331,edu,

+0641dbee7202d07b6c78a39eecd312c17607412e,Null space clustering with applications to motion segmentation and face clustering,"NICTA, Canberra","NICTA, Canberra","Canberra ACT 2601, Australia",-35.28093680,149.13000920,edu,

 06c2dfe1568266ad99368fc75edf79585e29095f,Bayesian Active Appearance Models,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,

 061ffd3967540424ac4e4066f4a605d8318bab90,Dirichlet-Based Histogram Feature Transform for Image Classification,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 0688c0568f3ab418719260d443cc0d86c3af2914,Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

@@ -12507,7 +15400,10 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 061bba574c7c2ef0ba9de91afc4fcab70feddd4f,Paying Attention to Descriptions Generated by Image Captioning Models,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 061bba574c7c2ef0ba9de91afc4fcab70feddd4f,Paying Attention to Descriptions Generated by Image Captioning Models,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 06d656c53b17ad7c4ca6345d19cbca271d93ef02,SOCIAL AND EGOCENTRIC IMAGE CLASSIFICATION FOR SCIENTIFIC AND PRIVACY APPLICATIONS,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+06d4379308d2716a866fc2ca583e4f2a33fa9f4c,WBMMSC: Supervised Classification Procedure of Textures Image Extraction,India,India,India,20.59368400,78.96288000,edu,

+06d4379308d2716a866fc2ca583e4f2a33fa9f4c,WBMMSC: Supervised Classification Procedure of Textures Image Extraction,India,India,India,20.59368400,78.96288000,edu,

 061c84a4143e859a7caf6e6d283dfb30c23ee56e,DEEP-CARVING: Discovering visual attributes by carving deep neural nets,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu,

+061c84a4143e859a7caf6e6d283dfb30c23ee56e,DEEP-CARVING: Discovering visual attributes by carving deep neural nets,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0691b9cd1b9b44bff297a62277be514ede9df01d,Inferring semantic concepts from community-contributed images and noisy tags,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0691b9cd1b9b44bff297a62277be514ede9df01d,Inferring semantic concepts from community-contributed images and noisy tags,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 062d67af7677db086ef35186dc936b4511f155d7,They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

@@ -12515,12 +15411,14 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 0698eb3b6409b0e79fefdaf9a99759d1acb940f0,AVEID: Automatic Video System for Measuring Engagement In Dementia,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 06cf3f55b2bd959d9228d29e1aa3e71ba7cece94,Features for image retrieval: an experimental comparison,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 06f585a3a05dd3371cd600a40dc35500e2f82f9b,Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+06f585a3a05dd3371cd600a40dc35500e2f82f9b,Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification,China,China,China,35.86166000,104.19539700,edu,

 06c8fcb0429afd3aee153ba42e1fd8aa93f7214f,Social roles in hierarchical models for human activity recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+06c8fcb0429afd3aee153ba42e1fd8aa93f7214f,Social roles in hierarchical models for human activity recognition,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu,

 06a9ed612c8da85cb0ebb17fbe87f5a137541603,Deep Learning of Player Trajectory Representations for Team Activity Analysis,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 06443cc014711e2e9cb6b8625362b022826d233e,Accident Forecasting in CCTV Traffic Camera Videos,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,

 06443cc014711e2e9cb6b8625362b022826d233e,Accident Forecasting in CCTV Traffic Camera Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 0670849811a6ba4fbfcbe11126b811dd94e06e66,Robust Metric and Alignment for Profile-Based Face Recognition: An Experimental Comparison,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

-06150e6e69a379c27e1d0100fcd7660f073cbacf,Local Decorrelation For Improved Pedestrian Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+06150e6e69a379c27e1d0100fcd7660f073cbacf,Local Decorrelation For Improved Pedestrian Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0671a41b780be540ace68c2db654544508e29e49,"Like Father, Like Son: Facial Expression Dynamics for Kinship Verification",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,

 0671a41b780be540ace68c2db654544508e29e49,"Like Father, Like Son: Facial Expression Dynamics for Kinship Verification",Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 0651ea8d9ca9890e8bcb32283c261483f89025ea,On the Reduction of Computational Complexity of Deep Convolutional Neural Networks,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

@@ -12530,10 +15428,12 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 0662baff581198245aa5bafed3109d03068e2be0,Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 06cb7c6601b7ee0d89cccd5311dcda9e5316e02d,A system for large-scale analysis of distributed cameras,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 06e2178d029b78801c004e512d923f7ce7f9e8eb,3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+4b0111182ace7443f060a64754ca23b2fc7e1d77,Face Recognition by Super-Resolved 3D Models From Consumer Depth Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4b3dd18882ff2738aa867b60febd2b35ab34dffc,FACIAL FEATURE ANALYSIS OF SPONTANEOUS FACIAL EXPRESSION,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 4b3dd18882ff2738aa867b60febd2b35ab34dffc,FACIAL FEATURE ANALYSIS OF SPONTANEOUS FACIAL EXPRESSION,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 4bbe460ab1b279a55e3c9d9f488ff79884d01608,GAGAN: Geometry-Aware Generative Adversarial Networks,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 4bbe460ab1b279a55e3c9d9f488ff79884d01608,GAGAN: Geometry-Aware Generative Adversarial Networks,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,

+4b8762d7637868b6ba0c97c95b2d4949d103ecdc,The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4b3f425274b0c2297d136f8833a31866db2f2aec,Toward Open-Set Face Recognition,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu,

 4b1682da96af72ce0ddaa9384ce294611807a8b3,Graph Distillation for Action Detection with Privileged Information,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4bab23e4ce9b6c65a067953fe202c20c387f00c8,Sparse patch-histograms for object classification in cluttered images,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

@@ -12541,12 +15441,15 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4b39b981133a91052956cc42d2967f349a95cd89,Towards Understanding Articulated Objects,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4bc55ffc2f53801267ca1767028515be6e84f551,The Decision to Engage Cognitive Control Is Driven by Expected Reward-Value: Neural and Behavioral Evidence,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 4b4ecc1cb7f048235605975ab37bb694d69f63e5,Nonlinear Embedding Transform for Unsupervised Domain Adaptation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

+4b48e912a17c79ac95d6a60afed8238c9ab9e553,Minimum Margin Loss for Deep Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4be79ee47771c670aa63bcdaff870f9dd8575a0d,phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc,Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking,"University of Colorado, Denver",University of Colorado Denver,"University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA",39.74287785,-105.00596398,edu,

 4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc,Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking,"University of Colorado, Denver",University of Colorado Denver,"University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA",39.74287785,-105.00596398,edu,

+4bfe7037b2d92215aeb5e116988ade7e6733a6b9,Frontal contributions to face processing differences in autism: evidence from fMRI of inverted face processing.,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 4b507a161af8a7dd41e909798b9230f4ac779315,A Theory of Multiplexed Illumination,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 4bd3de97b256b96556d19a5db71dda519934fd53,Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 4bd3de97b256b96556d19a5db71dda519934fd53,Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+4b1fc77a54e9daece9f11ec881a2ec40919337b7,Fusion of LBP and HOG using multiple kernel learning for infrared face recognition,China,China,China,35.86166000,104.19539700,edu,

 4b605e6a9362485bfe69950432fa1f896e7d19bf,A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 4b421db0f57608470ac1e26077ecb8a6cdccade5,Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels,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,

 4bd088ba3f42aa1e43ae33b1988264465a643a1f,Multiview Face Detection Using Gabor Filters and Support Vector Machine,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu,

@@ -12564,23 +15467,31 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 4b3eaedac75ac419c2609e131ea9377ba8c3d4b8,Fast Newton active appearance models,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 4b02387c2db968a70b69d98da3c443f139099e91,Detecting facial landmarks in the video based on a hybrid framework,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu,

 4b02387c2db968a70b69d98da3c443f139099e91,Detecting facial landmarks in the video based on a hybrid framework,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu,

+4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

+4b0081d655e1a4df8988908045780938f1c18630,Human Identification Using Gait,Karadeniz Technical University,"Karadeniz Technical University, Trabzon, Turkey","Üniversite Mahallesi, Karadeniz Teknik Üniversitesi Eczacılık Fakültesi, 61000 Ortahisar/Trabzon, Turkey",40.98987380,39.77138250,edu,

 4b321065f6a45e55cb7f9d7b1055e8ac04713b41,Affective Computing Models for Character Animation,Liverpool John Moores University,Liverpool John Moores University,"John Lennon Art and Design Building, Duckinfield Street, Knowledge Quarter, Liverpool, North West England, England, L3 5YD, UK",53.40507470,-2.97030029,edu,

 4be774af78f5bf55f7b7f654f9042b6e288b64bd,Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+4be774af78f5bf55f7b7f654f9042b6e288b64bd,Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes,India,India,India,20.59368400,78.96288000,edu,

 4b86e711658003a600666d3ccfa4a9905463df1c,Fusion of Appearance Image and Passive Stereo Depth Map for Face Recognition Based on the Bilateral 2DLDA,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+4b5158bdc12b3704fdd5d199f83ace8505be2945,Histograms of Gabor Ordinal Measures for face representation and recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 4bfce41cc72be315770861a15e467aa027d91641,Active Annotation Translation,University of Iceland,University of Iceland,"Háskóli Íslands, Sturlugata, Háskóli, Reykjavík, Reykjavíkurborg, Höfuðborgarsvæðið, 121, Ísland",64.13727400,-21.94561454,edu,

 4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu,

 4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu,

 4b70374555c32c6a1e0db43674a7183170083450,Kernelized View Adaptive Subspace Learning for Person Re-identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 4b70374555c32c6a1e0db43674a7183170083450,Kernelized View Adaptive Subspace Learning for Person Re-identification,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 4b70374555c32c6a1e0db43674a7183170083450,Kernelized View Adaptive Subspace Learning for Person Re-identification,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,

 4b18303edf701e41a288da36f8f1ba129da67eb7,An embarrassingly simple approach to zero-shot learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 4b18303edf701e41a288da36f8f1ba129da67eb7,An embarrassingly simple approach to zero-shot learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,China,China,China,35.86166000,104.19539700,edu,

 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu,

 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu,

+4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,China,China,China,35.86166000,104.19539700,edu,

 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 4b3c1af4369c9ed6714451643ef9c06969849e73,Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -12601,11 +15512,16 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 81be42a4843a2ff03e8a46368f77ae95723f9c7b,Enhancing Re-identification Through Contextual Trajectory Forecasting,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 81be42a4843a2ff03e8a46368f77ae95723f9c7b,Enhancing Re-identification Through Contextual Trajectory Forecasting,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 81d0ab3201fbaef5aff57e9df2c12c7b4f228987,Talking Face Generation by Conditional Recurrent Adversarial Network,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu,

+8160b3b5f07deaa104769a2abb7017e9c031f1c1,Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 8120e2d8233f5335b09e673e63395a76ae0e6bae,Recent Advances in Deep Learning: An Overview,Chittagong University of Engineering and Technology,Chittagong University of Engineering and Technology,"Shaheed Tareq Huda Hall, Goal Chattar, চট্টগ্রাম, চট্টগ্রাম জেলা, চট্টগ্রাম বিভাগ, 4349, বাংলাদেশ",22.46221665,91.96942263,edu,

 818ecc8c8d4dc398b01a852df90cb8d972530fa5,Unsupervised Training for 3D Morphable Model Regression,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 818ecc8c8d4dc398b01a852df90cb8d972530fa5,Unsupervised Training for 3D Morphable Model Regression,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+81ede08b36f3abd423424804da8ff240606b3a5d,Top-Down Deep Appearance Attention for Action Recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 81ba5202424906f64b77f68afca063658139fbb2,Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 81ba5202424906f64b77f68afca063658139fbb2,Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+81eecb00eeadb5fe36cd840b687439bfdca7ff30,Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+81eecb00eeadb5fe36cd840b687439bfdca7ff30,Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+813e9f76fb9e3f007f0bc819eab66b0b5fbd8204,Towards Building Large Scale Multimodal Domain-Aware Conversation Systems,India,India,India,20.59368400,78.96288000,edu,

 81da427270c100241c07143885ba3051ec4a2ecb,Learning the Synthesizability of Dynamic Texture Samples,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 81c7d56f1a77097c8fa14b76cb359d7f436741a0,Looking at Outfit to Parse Clothing,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

 81c7d56f1a77097c8fa14b76cb359d7f436741a0,Looking at Outfit to Parse Clothing,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

@@ -12613,6 +15529,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,China,China,China,35.86166000,104.19539700,edu,

+81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,China,China,China,35.86166000,104.19539700,edu,

 81e366ed1834a8d01c4457eccae4d57d169cb932,Pose-Configurable Generic Tracking of Elongated Objects,Gdansk University of Technology,Gdansk University of Technology,"PG, Romualda Traugutta, Królewska Dolina, Wrzeszcz Górny, Gdańsk, pomorskie, 80-233, RP",54.37086525,18.61716016,edu,

 8150f267cd2852f27639d4d85c3a311360346c88,Salient Montages from Unconstrained Videos,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 8145ff6adab3397a5ac52cc62a7c53dae59763db,ERP responses differentiate inverted but not upright face processing in adults with ASD.,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

@@ -12625,6 +15543,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 81fe36a1a49eabe38c7d98602447eec518af1aa2,Graph Regularised Hashing,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 8175f126198c126f9708fa8a04f57af830fba6aa,"DCGANs for image super-resolution , denoising and debluring",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 8175f126198c126f9708fa8a04f57af830fba6aa,"DCGANs for image super-resolution , denoising and debluring",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+819a321975c736e006870e76446d581e195cad2e,Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+819a321975c736e006870e76446d581e195cad2e,Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 816a7a4f8ec926502be5770bd33fc37dc8f078c0,Predicting Action Tubes,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 812e06a4cee26629e198a0a6d991616933ab14d8,Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada"

 812e06a4cee26629e198a0a6d991616933ab14d8,Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada"

@@ -12639,9 +15559,12 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,China,China,China,35.86166000,104.19539700,edu,

 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 81cf36452eb8d03c8c28fc3d56a6f305e96d4974,THE UNIVERSITY OF CHICAGO OBJECT DETECTION WITH CAD-TRAINED STATISTICAL MODELS FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE BY GUSTAV LARSSON ADVISOR: YALI AMIT,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu,

+8147ee02ec5ff3a585dddcd000974896cb2edc53,Angular Embedding: A Robust Quadratic Criterion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 81fc86e86980a32c47410f0ba7b17665048141ec,Segment-based Methods for Facial Attribute Detection from Partial Faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+8120a64a73b89294990b3c1e4567b503869b8979,Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation,Romania,Romania,Romania,45.94316100,24.96676000,edu,

 815e77b8f2e8f17205e46162b3addd02b2ea8ff0,Marker-less Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 812e11fc86e5d183337257978e5a0f26b5668218,Evaluating ResNeXt Model Architecture for Image Classification,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 810cb5228315ac027bb8fbca94f6f8faa6ff8016,A Unified Contour-Pixel Model for Figure-Ground Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -12652,10 +15575,16 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the
 816bd8a7f91824097f098e4f3e0f4b69f481689d,Latent semantic analysis of facial action codes for automatic facial expression recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 814a3acea78a7a79a499c52ff2efc57254f8d02c,3D Pick&Mix: Object Part Blending in Joint Shape and Image Manifolds,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 814a3acea78a7a79a499c52ff2efc57254f8d02c,3D Pick&Mix: Object Part Blending in Joint Shape and Image Manifolds,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+818dcb3bac6342c02eebd896cd0a46bcf2192b64,Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+81706277ed180a92d2eeb94ac0560f7dc591ee13,Emotion based Contextual Semantic Relevance Feedback in Multimedia Information Retrieval,India,India,India,20.59368400,78.96288000,edu,

+81706277ed180a92d2eeb94ac0560f7dc591ee13,Emotion based Contextual Semantic Relevance Feedback in Multimedia Information Retrieval,India,India,India,20.59368400,78.96288000,edu,

 81bf7a4b8b3c21d42cb82f946f762c94031e11b8,Segmentation of Nerve on Ultrasound Images Using Deep Adversarial Network,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 81bf7a4b8b3c21d42cb82f946f762c94031e11b8,Segmentation of Nerve on Ultrasound Images Using Deep Adversarial Network,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+81d91eb9fa3fec5d198b4522d5c373e55c0ddffb,Face Recognition using DCT based Energy Discriminant Mask,India,India,India,20.59368400,78.96288000,edu,

 c0723e0e154a33faa6ff959d084aebf07770ffaf,Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

+c03f48e211ac81c3867c0e787bea3192fcfe323e,Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System,China,China,China,35.86166000,104.19539700,edu,

 c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2,Weakly- and Semi-supervised Panoptic Segmentation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+c0e5a471179d2d8c7025febe77a90c3a99c7c9fa,Learning With ℓ1-Graph for Image Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c05f9e4979cb33090db984226ff3cff6e2dc1950,Counting in Dense Crowds using Deep Features,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 c033bafe915ddea9757f302557e0dc32110476de,Distorting Neural Representations to Generate Highly Transferable Adversarial Examples,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 c03e01717b2d93f04cce9b5fd2dcfd1143bcc180,Locality-Constrained Active Appearance Model,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -12674,20 +15603,31 @@ c048513689fbba0a12a1ab9cb08ab3a533918519,Model SelectionWithin a Bayesian Approa
 c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 c00f402b9cfc3f8dd2c74d6b3552acbd1f358301,Learning deep representation from coarse to fine for face alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 c0cdaeccff78f49f4604a6d263dc6eb1bb8707d5,MLP Neural Network Based Approach for Facial Expression Analysis,Kent State University,Kent State University,"Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA",41.14435250,-81.33982833,edu,

 c0e0b878ec8c56679faccb3c3f5e2ae968182da5,A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under Varying Pose and Illumination,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,

 c02cc6af3cc93e86e86fb66412212babda8fb858,Interocularly merged face percepts eliminate binocular rivalry,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,

+c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

 c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

+c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

 c09cd44a4413de704bd74d825ca435b742b73ded,Illumination Compensation and Enhancement for Face Recognition,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu,

 c06ca26b33ab2e9ce118ca02018be5834e8164a6,Robust Ear Recognition Using Gradient Ordinal Relationship Pattern,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu,

 c0ee89dc2dad76147780f96294de9e421348c1f4,Efficiently detecting outlying behavior in video-game players,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

 c0ee89dc2dad76147780f96294de9e421348c1f4,Efficiently detecting outlying behavior in video-game players,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

+c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

+c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,China,China,China,35.86166000,104.19539700,edu,

+c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,China,China,China,35.86166000,104.19539700,edu,

+c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,China,China,China,35.86166000,104.19539700,edu,

 c0ca6b992cbe46ea3003f4e9b48f4ef57e5fb774,A Two-Layer Representation For Large-Scale Action Recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+c082afd5928165ccaf6d419aff5d0456d8ef78f3,Face recognition by fusing binary edge feature and second-order mutual information,China,China,China,35.86166000,104.19539700,edu,

 c014c487f8899845c8c6e8412e1df3951b504d71,CCTV Facial Recognition Analysis,Santa Clara University,Santa Clara University,"Cowell Center, Accolti Way, Santa Clara, Santa Clara County, California, 95053, USA",37.34820285,-121.93563541,edu,

 c0c80aeccb1628926738ea8f09d238061a8daa29,GBoost : A Generative Framework for Boosting with Applications to Real-Time Eye Coding ?,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 c074dcc5000320ebf13e7a974befced1ab70a08f,Attentional Pooling for Action Recognition,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,

@@ -12695,10 +15635,13 @@ c02c914de25034ecd2c3287c2e731ab1130e7bee,Multi-Scale Structure-Aware Network for
 c00df53bd46f78ae925c5768d46080159d4ef87d,Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 c01876292b5d1ce6e746fd2e2053453847905bb2,DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 c0ef854f4119a74b37211aa4cc36b8c1addd9057,Training object class detectors with click supervision Dim,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+ac968bf321f1dfa2d216dccc22fa5315de63d7bd,Face Template Protection using Deep Convolutional Neural Network,India,India,India,20.59368400,78.96288000,edu,

 acaa781f353c769ae5f6101aab140f51b2d33cd2,Recent advances in correlation filter theory and applications,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,

 acaa781f353c769ae5f6101aab140f51b2d33cd2,Recent advances in correlation filter theory and applications,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 ac56b4d6f9775211dfc966e9151862fd508d3142,Three-dimensional information in face recognition: an eye-tracking study.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

 ac56b4d6f9775211dfc966e9151862fd508d3142,Three-dimensional information in face recognition: an eye-tracking study.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

+ac4c19e52a58aea27593b99f0ebe5316339b9646,A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries,India,India,India,20.59368400,78.96288000,edu,

+ac4c19e52a58aea27593b99f0ebe5316339b9646,A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries,India,India,India,20.59368400,78.96288000,edu,

 ac21c8aceea6b9495574f8f9d916e571e2fc497f,Pose-Independent Identity-based Facial Image Retrieval using Contextual Similarity,"King Abdullah University of Science and Technology, Saudi Arabia",King Abdullah University of Science and Technology 4700,"KAUST, Collaboration Avenue, ثول, منطقة مكة المكرمة, 23955, السعودية",22.31055485,39.10515486,edu,

 acc9821b61ea804bd1e0b0e23a45f08fbf760a37,Smile Detection in the Wild Based on Transfer Learning,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

 ac86ccc16d555484a91741e4cb578b75599147b2,Morphable Face Models - An Open Framework,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

@@ -12706,6 +15649,7 @@ ac9bdf668852dea5fa8ec4262f10562eda9bedd2,Deep Structured Learning for Facial Exp
 ac9bdf668852dea5fa8ec4262f10562eda9bedd2,Deep Structured Learning for Facial Expression Intensity Estimation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 aca57cd3f1f4edea9918814aabd0460c682cd56e,Discriminant Projective Non-Negative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 aca57cd3f1f4edea9918814aabd0460c682cd56e,Discriminant Projective Non-Negative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+ac88405d34b7b6fa701e25d9fbdb56126cc9a8c3,On the Diversity of Realistic Image Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 ac559888f996923c06b1cf90db6b57b12e582289,Benchmarking neuromorphic vision: lessons learnt from computer vision,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 ac559888f996923c06b1cf90db6b57b12e582289,Benchmarking neuromorphic vision: lessons learnt from computer vision,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 ac559888f996923c06b1cf90db6b57b12e582289,Benchmarking neuromorphic vision: lessons learnt from computer vision,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

@@ -12724,7 +15668,9 @@ acdc333f7b32d987e65ce15f21db64e850ca9471,Direct Loss Minimization for Training D
 ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e,Defense Against Adversarial Attacks with Saak Transform,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e,Defense Against Adversarial Attacks with Saak Transform,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,

 ac392dba43796a25c2eee5f08671537634a77029,CyCADA: Cycle-Consistent Adversarial Domain Adaptation,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+ac68dacd66ebe1c7eab56aaee9a8bef478be9a23,Sparkle: adaptive sample based scheduling for cluster computing,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 ac68dacd66ebe1c7eab56aaee9a8bef478be9a23,Sparkle: adaptive sample based scheduling for cluster computing,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,

+ac68dacd66ebe1c7eab56aaee9a8bef478be9a23,Sparkle: adaptive sample based scheduling for cluster computing,China,China,China,35.86166000,104.19539700,edu,

 ac51d9ddbd462d023ec60818bac6cdae83b66992,An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 ac51d9ddbd462d023ec60818bac6cdae83b66992,An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 ac8269a3033ede3c1ce4381b1fef61375a54cfb9,Coordinating the Design and Management of Heterogeneous Datacenter Resources by Marisabel Guevara,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

@@ -12753,15 +15699,22 @@ ac207f5e368e285b0dd54387e3a898c550249b20,Stacked RNNs for Encoder-Decoder Networ
 aca75c032cfb0b2eb4c0ae56f3d060d8875e43f9,Co-Regularized Ensemble for Feature Selection,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 aca75c032cfb0b2eb4c0ae56f3d060d8875e43f9,Co-Regularized Ensemble for Feature Selection,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 ac0e595afa57db8c9310d72b2a2eb0758dc1e48f,Discriminative Learning of Latent Features for Zero-Shot Recognition,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu,

+accbd6cd5dd649137a7c57ad6ef99232759f7544,Facial Expression Recognition with Local Binary Patterns and Linear Programming,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+accbd6cd5dd649137a7c57ad6ef99232759f7544,Facial Expression Recognition with Local Binary Patterns and Linear Programming,China,China,China,35.86166000,104.19539700,edu,

 acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu,

 acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu,

 acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu,

+acc5318592303852feba755a1202fb3c683b3b53,Correction of AI systems by linear discriminants: Probabilistic foundations,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+acc5318592303852feba755a1202fb3c683b3b53,Correction of AI systems by linear discriminants: Probabilistic foundations,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 acee2201f8a15990551804dd382b86973eb7c0a8,To boost or not to boost? On the limits of boosted trees for object detection,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 acfecef9e56ff36455aed13f8e6be1a79b42f20f,Hit or Run: Exploring Aggressive and Avoidant Reactions to Interpersonal Provocation Using a Novel Fight-or-Escape Paradigm (FOE),University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+acfecef9e56ff36455aed13f8e6be1a79b42f20f,Hit or Run: Exploring Aggressive and Avoidant Reactions to Interpersonal Provocation Using a Novel Fight-or-Escape Paradigm (FOE),Russia,Russia,Russia,61.52401000,105.31875600,edu,

 acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu,

+acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu,

 6a67e6fbbd9bcd3f724fe9e6cecc9d48d1b6ad4d,Cooperative Learning with Visual Attributes,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,

 6a4ebd91c4d380e21da0efb2dee276897f56467a,HOG active appearance models,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu,

 6a57b2258c2263af18b65e8a8542b87fb921eff0,Geometrical 2D Face Rotation by Using Gabor- tensor-based Active Appearance Model,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

@@ -12777,34 +15730,47 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 6a4ac9ac5ddfeeb8adcff1795eccd39de25a00c4,Composite Feature-Based Face Detection Using Skin Color Modeling and SVM Classification,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu,

 6ae4f3ff909ae6171ad54e8c5d942d1c83706e45,Multi-Label Zero-Shot Learning with Structured Knowledge Graphs,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 6ae4f3ff909ae6171ad54e8c5d942d1c83706e45,Multi-Label Zero-Shot Learning with Structured Knowledge Graphs,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,

+6a1da83440c7685f5a03e7bda17be9025e0892e3,Semantic Match Consistency for Long-Term Visual Localization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+6afeb764ee97fbdedfa8f66810dfc22feae3fa1f,Robust Principal Component Analysis with Complex Noise,China,China,China,35.86166000,104.19539700,edu,

 6afeb764ee97fbdedfa8f66810dfc22feae3fa1f,Robust Principal Component Analysis with Complex Noise,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

 6afeb764ee97fbdedfa8f66810dfc22feae3fa1f,Robust Principal Component Analysis with Complex Noise,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 6ae9f4dc7433ba3433b39ee932b22fd57922c2ee,Using Facially Expressive Robots to Calibrate Clinical Pain Perception,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 6ae9f4dc7433ba3433b39ee932b22fd57922c2ee,Using Facially Expressive Robots to Calibrate Clinical Pain Perception,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu,

+6ac1dc59e823d924e797afaf5c4a960ed7106f2a,Deep Facial Expression Recognition: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+6a7e464464f70afea78552c8386f4d2763ea1d9c,Facial Landmark Localization – A Literature Survey,India,India,India,20.59368400,78.96288000,edu,

+6a2ac4f831bd0f67db45e7d3cdaeaaa075e7180a,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 6a2ac4f831bd0f67db45e7d3cdaeaaa075e7180a,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

+6a2ac4f831bd0f67db45e7d3cdaeaaa075e7180a,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 6aa61d28750629febe257d1cb69379e14c66c67f,Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu,

 6ab30c67fa966b6bcee61de6294245e2dd8604d8,3D Face Recognition Based on G-H Shape Variation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 6aef7b35776ed2b86b60af096319b9f4fc7f37b8,Detection-assisted Object Tracking by Mobile Cameras,University of Nebraska - Lincoln,University of Nebraska - Lincoln,"Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA",40.81747230,-96.70444680,edu,

 6a657995b02bc9dee130701138ea45183c18f4ae,The Timing of Facial Motion in posed and Spontaneous Smiles,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 6ab6c1334c70db6e7705455a2db359e8d83042f9,Rationale for a 3D heterogeneous multi-core processor,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

+6a1fd51107770edbdd832a1934ff5461e891f2e1,A Robust and Dominant Local Binary Pattern and Its Application,India,India,India,20.59368400,78.96288000,edu,

+6ade1e0d4744d2eb5bf7bab97289ffd7eeb5a661,SIMULATED+UNSUPERVISED LEARNING WITH ADAPTIVE DATA GENERATION AND BIDIRECTIONAL MAPPINGS,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 6ae96f68187f1cdb9472104b5431ec66f4b2470f,Improving Task Performance in an Affect-mediated Computing System,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,

 6ae96f68187f1cdb9472104b5431ec66f4b2470f,Improving Task Performance in an Affect-mediated Computing System,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,

 6a8d382d34143143e98b040e006f473bd450502d,Object Relation Detection Based on One-shot Learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 6a2b83c4ae18651f1a3496e48a35b0cd7a2196df,Top Rank Supervised Binary Coding for Visual Search,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 6a2b83c4ae18651f1a3496e48a35b0cd7a2196df,Top Rank Supervised Binary Coding for Visual Search,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 6a64c83a016e4831ae7beb9e0df8ab7ff514bf2e,Task-Specific Codes for Face Recognition: How they Shape the Neural Representation of Features for Detection and Individuation,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+6ad5a38df8dd4cdddd74f31996ce096d41219f72,Multi-cue onboard pedestrian detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+6ad5a38df8dd4cdddd74f31996ce096d41219f72,Multi-cue onboard pedestrian detection,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 6a0e35c2ee573ab62157c599dc92bd05cc511b4d,Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

 6a18355b3b8c0f9deae09f2a86d939e64de5143b,Fast Patch-based Style Transfer of Arbitrary Style.,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 6a18355b3b8c0f9deae09f2a86d939e64de5143b,Fast Patch-based Style Transfer of Arbitrary Style.,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 6a4419ce2338ea30a570cf45624741b754fa52cb,Statistical transformer networks: learning shape and appearance models via self supervision,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 6aaa77e241fe55ae0c4ad281e27886ea778f9e23,F-Formation Detection: Individuating Free-Standing Conversational Groups in Images,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+6aaa77e241fe55ae0c4ad281e27886ea778f9e23,F-Formation Detection: Individuating Free-Standing Conversational Groups in Images,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 6af65e2a1eba6bd62843e7bf717b4ccc91bce2b8,A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 6a5fe819d2b72b6ca6565a0de117c2b3be448b02,Supervised and Projected Sparse Coding for Image Classification,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 63c7c8dff73ec6798e38ed7466a4f8ff8a87f879,Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 63fd747875052931aed46a37c6da7d7ebb7768ec,Venues in Social Media: Examining Ambiance Perception Through Scene Semantics,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 63fd747875052931aed46a37c6da7d7ebb7768ec,Venues in Social Media: Examining Ambiance Perception Through Scene Semantics,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 63f9f3f0e1daede934d6dde1a84fb7994f8929f0,Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+63f9f3f0e1daede934d6dde1a84fb7994f8929f0,Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition,China,China,China,35.86166000,104.19539700,edu,

 634e02d6107529d672cbbdf5b97990966e289829,Cost-Effective Training of Deep CNNs with Active Model Adaptation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+634e02d6107529d672cbbdf5b97990966e289829,Cost-Effective Training of Deep CNNs with Active Model Adaptation,China,China,China,35.86166000,104.19539700,edu,

 631a1571d1a073369ec7c98e196de07e263ae130,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 631a1571d1a073369ec7c98e196de07e263ae130,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 631a1571d1a073369ec7c98e196de07e263ae130,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -12812,9 +15778,11 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 6324fada2fb00bd55e7ff594cf1c41c918813030,Uncertainty reduction for active image clustering via a hybrid global-local uncertainty model,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu,

 6342a4c54835c1e14159495373ab18b4233d2d9b,TOWARDS POSE-ROBUST FACE RECOGNITION ON VIDEO,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 63a584487beb7382cad8ed70020f108ded5bf076,Face Detection and Modeling for Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+63c71e317168d5b55dccaf5515ad96c9e87f7d9e,"Part-Based RDF for Direction Classification of Pedestrians, and a Benchmark",University of Auckland,"The University of Auckland, Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu,

 630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

+630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 63660c50e2669a5115c2379e622549d8ed79be00,Deep Salient Object Detection by Integrating Multi-level Cues,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 63660c50e2669a5115c2379e622549d8ed79be00,Deep Salient Object Detection by Integrating Multi-level Cues,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 632b24ddd42fda4aebc5a8af3ec44f7fd3ecdc6c,Real-Time Facial Segmentation and Performance Capture from RGB Input,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,

@@ -12826,18 +15794,26 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 635e3ce6fb0b28f38fb77f25770911bf08f0ff03,Face-to-face interference in typical and atypical development,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 632029daf2a667cb87cd3078a853d68412ea6896,Clustering-Based Joint Feature Selection for Semantic Attribute Prediction,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu,

 63f367d50b248680138cb4b3aec3143fad3a7112,Ordinal Random Forests for Object Detection,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+638b98ce5fddd0bd6d9ca22fb4c48220e6f3109c,Facial Feature Extraction in Colour Images Based on Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu,

+638b98ce5fddd0bd6d9ca22fb4c48220e6f3109c,Facial Feature Extraction in Colour Images Based on Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu,

 63e7c466326ab0aea0cc349b4bdafe0e59ab801d,Ranking Metrics and Evaluation Measures,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 637de43801f26fab8f567787485c57ab92273ce5,Mask-aware Photorealistic Face Attribute Manipulation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 637de43801f26fab8f567787485c57ab92273ce5,Mask-aware Photorealistic Face Attribute Manipulation,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,

+63d865c66faaba68018defee0daf201db8ca79ed,Deep Regression for Face Alignment,China,China,China,35.86166000,104.19539700,edu,

 63d865c66faaba68018defee0daf201db8ca79ed,Deep Regression for Face Alignment,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 631c4ca00eaa65b801c63d32c0f564e974009ddd,Self-attention Learning for Person Re-identification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 631c4ca00eaa65b801c63d32c0f564e974009ddd,Self-attention Learning for Person Re-identification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+63b29886577a37032c7e32d8899a6f69b11a90de,Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles,China,China,China,35.86166000,104.19539700,edu,

 63b29886577a37032c7e32d8899a6f69b11a90de,Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

 633f4e4d1e29d336a5472a9cf43163fdceafecfa,PatchFCN for Intracranial Hemorrhage Detection,"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,

 6345eef2ffe46da6d77d07446c1329da7ea00f45,Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

+63db312ec494988e1af0c1db5f9d9ca40ef89237,Vision Based Gesture Recognition : a Comprehensive Study,India,India,India,20.59368400,78.96288000,edu,

+63db312ec494988e1af0c1db5f9d9ca40ef89237,Vision Based Gesture Recognition : a Comprehensive Study,India,India,India,20.59368400,78.96288000,edu,

 63cff99eff0c38b633c8a3a2fec8269869f81850,Feature Correlation Filter for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+63cff99eff0c38b633c8a3a2fec8269869f81850,Feature Correlation Filter for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 632441c9324cd29489cee3da773a9064a46ae26b,Video-based Cardiac Physiological Measurements Using Joint Blind Source Separation Approaches,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 632441c9324cd29489cee3da773a9064a46ae26b,Video-based Cardiac Physiological Measurements Using Joint Blind Source Separation Approaches,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+63cdf4aa1492c5c8fb109a1bf03af4844982e265,Reconstructing High-Resolution Face Models From Kinect Depth Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6355f7fd956466e8e9f09b297e6cdd155d66740e,EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 6348357fecf5324038f4ff5f14d9196f4659c74b,Biometrics : Face Recognition in Thermal Infrared,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 63a2e2155193dc2da9764ae7380cdbd044ff2b94,A Dense SURF and Triangulation Based Spatio-temporal Feature for Action Recognition,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

@@ -12855,37 +15831,48 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 635e5b6219a655b73f47ae74751ae43577d22da6,Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 621f656fedda378ceaa9c0096ebb1556a42e5e0f,Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder,Rio de Janeiro State University,Rio de Janeiro State University,"UERJ, 524, Rua São Francisco Xavier, Maracanã, Zona Norte do Rio de Janeiro, Rio de Janeiro, Microrregião Rio de Janeiro, Região Metropolitana do Rio de Janeiro, RJ, Região Sudeste, 20550-900, Brasil",-22.91117105,-43.23577971,edu,

 62ee1385725c508cdb64a8318d2e07bddf8b5832,Shape-based Image Correspondence,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+628b7dbf216aba008b9ef74a411b87a99e7a3106,A review of speech-based bimodal recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 62f7de0e26f5716beb32b9d14e646e76b3a2e2af,Continuous Hyper-parameter Learning for Support Vector Machines,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 621ff353960d5d9320242f39f85921f72be69dc8,Explicit occlusion detection based deformable fitting for facial landmark localization,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 6261eb75066f779e75b02209fbd3d0f02d3e1e45,Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+6261eb75066f779e75b02209fbd3d0f02d3e1e45,Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning,China,China,China,35.86166000,104.19539700,edu,

 62b680a5ab0d83a8c5783585a4e3e541ac997ea0,Visible-information-aided eyeglasses removing for thermal image reconstruction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 62b680a5ab0d83a8c5783585a4e3e541ac997ea0,Visible-information-aided eyeglasses removing for thermal image reconstruction,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu,

 62b680a5ab0d83a8c5783585a4e3e541ac997ea0,Visible-information-aided eyeglasses removing for thermal image reconstruction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 6293d33e176ba7ccd59e94f8a137876c1d581e1f,Holistic features for real-time crowd behaviour anomaly detection,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

+62647a8f8a534db2ccfd0df7d513b4f084231d10,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,China,China,China,35.86166000,104.19539700,edu,

 62647a8f8a534db2ccfd0df7d513b4f084231d10,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 62647a8f8a534db2ccfd0df7d513b4f084231d10,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 629b1bdf4d96bb41f7d3fce5c7d5617515303b71,Diving Deeper into IM 2 GPS,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 629b1bdf4d96bb41f7d3fce5c7d5617515303b71,Diving Deeper into IM 2 GPS,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 62035628c85e13c10db4dfe2acedc5741874fc2e,Auto-Context R-CNN,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu,

+6268ad4bc516a41a30db566e2207079fc483212e,LBP-Based Edge-Texture Features for Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,India,India,India,20.59368400,78.96288000,edu,

 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

+6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,India,India,India,20.59368400,78.96288000,edu,

 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 62b83bf64f200ebb9fa16dfb7108b85e390b2207,Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 62b83bf64f200ebb9fa16dfb7108b85e390b2207,Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 62b83bf64f200ebb9fa16dfb7108b85e390b2207,Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 6250781bb606041fdc1621ba08aee541bfb1285b,Ear Biometrics Using 2D and 3D Images,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 621227db6a9b0ad374cf737fea3760b49c4de42c,Hardware Trojan Attacks on Neural Networks,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu,

+62c425be3e07e076d1339d1f2fe2ed319a859f02,Face Recognition & Gender Determination Using LIPS .,India,India,India,20.59368400,78.96288000,edu,

 62aaa33c46a7c4c2d8a80c81954101576200799d,Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 628a3f027b7646f398c68a680add48c7969ab1d9,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

+628a3f027b7646f398c68a680add48c7969ab1d9,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 6290c85a9ae8b6c89151a5f8dbd678a514054674,Face Recognition - Combine Generic and Specific Solutions,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 6220d0424bc7357e7e381d59baecdff91062ba81,A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 62beb92e4de7b682619eba0aa39c14a39c95718f,Towards Effective Deep Embedding for Zero-Shot Learning,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 62beb92e4de7b682619eba0aa39c14a39c95718f,Towards Effective Deep Embedding for Zero-Shot Learning,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

+62e2c431d375bbafd988d53c4d39f240c8b7977b,A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

+62e2c431d375bbafd988d53c4d39f240c8b7977b,A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 62dc594c1eac220d2116506d187d9fdd5ff8e795,Robust multi-view pedestrian tracking using neural networks,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu,

 624e9d9d3d941bab6aaccdd93432fc45cac28d4b,Object-Scene Convolutional Neural Networks for event recognition in images,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 624e9d9d3d941bab6aaccdd93432fc45cac28d4b,Object-Scene Convolutional Neural Networks for event recognition in images,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+62da5876fbc5b6abe467891fc71b68173e6ad061,Heterogeneous Face Recognition Using Kernel Prototype Similarities,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 62fd622b3ca97eb5577fd423fb9efde9a849cbef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 62fd622b3ca97eb5577fd423fb9efde9a849cbef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 62fd622b3ca97eb5577fd423fb9efde9a849cbef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

@@ -12896,8 +15883,11 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 622daa25b5e6af69f0dac3a3eaf4050aa0860396,Greedy Feature Selection for Subspace Clustering,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu,

 626913b8fcbbaee8932997d6c4a78fe1ce646127,Learning from Millions of 3D Scans for Large-scale 3D Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 621e8882c41cdaf03a2c4a986a6404f0272ba511,On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+62d5c16760018b08e301a940434c3fc2e862c385,Approach For Palm Vein Blood Vessel Detection Based On Fuzzy Logic,India,India,India,20.59368400,78.96288000,edu,

+62d5c16760018b08e301a940434c3fc2e862c385,Approach For Palm Vein Blood Vessel Detection Based On Fuzzy Logic,India,India,India,20.59368400,78.96288000,edu,

 62d9750adb300cd53fb107b174cb6a07fb8b96b5,Using 3D Models to Recognize 2D Faces in the Wild,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 624706748e2e62a4e07ae761543da6d41e3f8fcd,Language Grounding in Massive Online Data,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

+629722342f719ee413e9bb07072a2fc2b4f09a26,Gender Classification by Information Fusion of Hair and Face,China,China,China,35.86166000,104.19539700,edu,

 62e913431bcef5983955e9ca160b91bb19d9de42,Facial Landmark Detection with Tweaked Convolutional Neural Networks,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

 1439bf9ba7ff97df9a2da6dae4784e68794da184,LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 141ee531d03fb6626043e33dd8f269a6f1f63a4b,How Robust is 3D Human Pose Estimation to Occlusion?,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

@@ -12908,12 +15898,20 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 1486f2e32deac2b61d37b52e48d07fcd5208a164,Occlusion Patterns for Object Class Detection,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 14a3194bb454f1f2e3fc1452045ac18c69959368,Fast Object Detection Using Multistage Particle Window Deformable Part Model,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu,

 14a3194bb454f1f2e3fc1452045ac18c69959368,Fast Object Detection Using Multistage Particle Window Deformable Part Model,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu,

+14f964d152337e963e4a4fd3619f6030aa75deb1,Person Re-identification by Discriminatively Selecting Parts and Features,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

+1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 14b87359f6874ff9b8ee234b18b418e57e75b762,Face Alignment Using a Ranking Model based on Regression Trees,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 14b87359f6874ff9b8ee234b18b418e57e75b762,Face Alignment Using a Ranking Model based on Regression Trees,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu,

 14bb9a1eaedac0e53b692031008bee529ff30ff8,Feature Selection Mechanism in CNNs for Facial Expression Recognition,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu,

+14bb9a1eaedac0e53b692031008bee529ff30ff8,Feature Selection Mechanism in CNNs for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu,

 14bb9a1eaedac0e53b692031008bee529ff30ff8,Feature Selection Mechanism in CNNs for Facial Expression Recognition,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu,

+14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d,Correlation filter cascade for facial landmark localization,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d,Correlation filter cascade for facial landmark localization,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+14f0283c703e450e5f17cbe94878896de865ce30,Robust Visual Tracking for Multiple Targets with Data Association and Track Management,India,India,India,20.59368400,78.96288000,edu,

 14151238780bedb19c585ab3374b3240d61899b9,Appearance-Based Classification and Recognition Using Spectral Histogram Representations and Hierarchical Learning for Oca,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 14151238780bedb19c585ab3374b3240d61899b9,Appearance-Based Classification and Recognition Using Spectral Histogram Representations and Hierarchical Learning for Oca,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu,

 141768ab49a5a9f5adcf0cf7e43a23471a7e5d82,Relative facial action unit detection,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu,

@@ -12926,12 +15924,17 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 14421119527aa5882e1552a651fbd2d73bc94637,Searching for objects driven by context,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 14421119527aa5882e1552a651fbd2d73bc94637,Searching for objects driven by context,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 14d72dc9f78d65534c68c3ed57305f14bd4b5753,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+14d72dc9f78d65534c68c3ed57305f14bd4b5753,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,China,China,China,35.86166000,104.19539700,edu,

+14d72dc9f78d65534c68c3ed57305f14bd4b5753,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,China,China,China,35.86166000,104.19539700,edu,

 1462fea6c71be9c442f443488fc7c45e1840e9ed,Learning a perceptual manifold for image set classification,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

+14902cf0b07eae6561184b12aef07e945936ed26,Road side video surveillance in traffic scenes using mapreduce framework for accident analysis,India,India,India,20.59368400,78.96288000,edu,

 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+14e38bafe584fa0f3cf5899027c61247ff14204c,An overview of recent progress in volumetric semantic 3D reconstruction,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 14e38bafe584fa0f3cf5899027c61247ff14204c,An overview of recent progress in volumetric semantic 3D reconstruction,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+14e38bafe584fa0f3cf5899027c61247ff14204c,An overview of recent progress in volumetric semantic 3D reconstruction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 14df5bbb6fc34819f4ef43bb2b8cb1ada35613fe,RED: Reinforced Encoder-Decoder Networks for Action Anticipation,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,

 140438a77a771a8fb656b39a78ff488066eb6b50,Localizing Parts of Faces Using a Consensus of Exemplars,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 140438a77a771a8fb656b39a78ff488066eb6b50,Localizing Parts of Faces Using a Consensus of Exemplars,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -12951,6 +15954,7 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 1432654a204391b6e2ec197138be0f7c8cb83ae5,Coreset-Based Neural Network Compression,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 149c21e5f1c52429fb1585d30b50bc850a16edcd,A 3 D Audio-visual Corpus for Speech Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 149c21e5f1c52429fb1585d30b50bc850a16edcd,A 3 D Audio-visual Corpus for Speech Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

+14a022a3eb8cc9681b1ab075650d462788de1fa0,GANs for Biological Image Synthesis,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 14f0bce6645f39a44f5b0e695b5f28ea55fd9625,A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 14f0bce6645f39a44f5b0e695b5f28ea55fd9625,A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 14418ae9a6a8de2b428acb2c00064da129632f3e,Discovering the Spatial Extent of Relative Attributes,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu,

@@ -12963,13 +15967,17 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 14e9158daf17985ccbb15c9cd31cf457e5551990,ConvNets with Smooth Adaptive Activation Functions for Regression,Stony Brook University Hospital,Stony Brook University Hospital,"Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.90826665,-73.11520891,edu,

 1491c73713ff0b931e5bc1e990b9e762bfe7b60b,Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation,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,

 14014a1bdeb5d63563b68b52593e3ac1e3ce7312,Expression-Invariant Age Estimation,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,

+14014a1bdeb5d63563b68b52593e3ac1e3ce7312,Expression-Invariant Age Estimation,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

+148316962e1ebb7086837e25cbee9ecbd71e5940,Efficient Multi-Person Pose Estimation with Provable Guarantees,China,China,China,35.86166000,104.19539700,edu,

 148316962e1ebb7086837e25cbee9ecbd71e5940,Efficient Multi-Person Pose Estimation with Provable Guarantees,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 14d0afea52c4e9b7a488f6398e4a92bd4f4b93c7,Rethinking the Faster R-CNN Architecture for Temporal Action Localization,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 1423037dd56f85453cd4257861821aeeb7478bc1,"Universal representations: The missing link between faces, text, planktons, and cat breeds",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 1423037dd56f85453cd4257861821aeeb7478bc1,"Universal representations: The missing link between faces, text, planktons, and cat breeds",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 14629c6989721e452fd9a49b5c20b8e849bce82a,Batch Algorithm with Additional Shape Constraints for Non-Rigid Factorization,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 14bca107bb25c4dce89210049bf39ecd55f18568,Emotion recognition from facial images with arbitrary views,University of Oulu,University 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,

+14bca107bb25c4dce89210049bf39ecd55f18568,Emotion recognition from facial images with arbitrary views,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 14070478b8f0d84e5597c3e67c30af91b5c3a917,Detecting Social Actions of Fruit Flies,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu,

@@ -12994,13 +16002,17 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph
 14de80b1b86ea342ba44c584e9e39b9089472658,M-PACT: An Open Source Platform for Repeatable Activity Classification Research,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 143bee9120bcd7df29a0f2ad6f0f0abfb23977b8,Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition,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,

 143bee9120bcd7df29a0f2ad6f0f0abfb23977b8,Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+1471c0b72e4a88b39e59362bf169bb35915966a9,Extended Coding and Pooling in the HMAX Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 14f936e4eca8382ad835bf18b4a11d2e6682fd71,Simultaneous Children Recognition and Tracking for Childcare Assisting System by Using Kinect Sensors,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

+14f936e4eca8382ad835bf18b4a11d2e6682fd71,Simultaneous Children Recognition and Tracking for Childcare Assisting System by Using Kinect Sensors,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 1412f4024babbc01b671f7ee4a22d86db1545268,Proximity and gaze influences facial temperature: a thermal infrared imaging study,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu,

 14b69626b64106bff20e17cf8681790254d1e81c,Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 14b69626b64106bff20e17cf8681790254d1e81c,Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu,

 14b69626b64106bff20e17cf8681790254d1e81c,Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 c526f3e27c7d8ed5e07cf57ab378f17e1c548ebe,Learning Human Identity Using View-Invariant Multi-view Movement Representation,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 c58b7466f2855ffdcff1bebfad6b6a027b8c5ee1,Ultra-Resolving Face Images by Discriminative Generative Networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+c5c379a807e02cab2e57de45699ababe8d13fb6d,Facial Expression Recognition Using Sparse Representation,China,China,China,35.86166000,104.19539700,edu,

+c5c379a807e02cab2e57de45699ababe8d13fb6d,Facial Expression Recognition Using Sparse Representation,China,China,China,35.86166000,104.19539700,edu,

 c563a1a197e8e9b5119063a8fd57fa5a7ca0da03,"Gaze cues in complex, real-world scenes direct the attention of high-functioning adults with autism",University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 c563a1a197e8e9b5119063a8fd57fa5a7ca0da03,"Gaze cues in complex, real-world scenes direct the attention of high-functioning adults with autism",University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 c563a1a197e8e9b5119063a8fd57fa5a7ca0da03,"Gaze cues in complex, real-world scenes direct the attention of high-functioning adults with autism",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -13011,20 +16023,28 @@ c5ddfc020a3d1a4cb5d83c725a683f54a7bf7f1d,The processing of dynamic faces in the
 c5ddfc020a3d1a4cb5d83c725a683f54a7bf7f1d,The processing of dynamic faces in the human brain : Support for an integrated neural framework of face processing,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 c55b0bcd8081999f265468f87f281959bfc786f7,Extraction and Classification of Human Gait Features,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 c55b0bcd8081999f265468f87f281959bfc786f7,Extraction and Classification of Human Gait Features,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

+c55b0bcd8081999f265468f87f281959bfc786f7,Extraction and Classification of Human Gait Features,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu,

 c571a5273d09d5b63b9af6a8611f6ee8510f1c08,Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 c571a5273d09d5b63b9af6a8611f6ee8510f1c08,Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 c571a5273d09d5b63b9af6a8611f6ee8510f1c08,Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu,

 c51fb195bd9fe3b7d001179a3a39bb8252304f1b,A Survey of Advances in Biometric Gait Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+c5697c28272dc7e81c451a63495f229c740d597b,Intra-class retrieval of non-rigid 3 D objects : Application to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c55dcc587a53ff82cf3f79d84e7df67f4c8f77ed,TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c51e244be1728fd1abbd4b4bc58d2e555643ea50,Towards Autonomous Vehicles with Advanced Sensor Solutions,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+c51e244be1728fd1abbd4b4bc58d2e555643ea50,Towards Autonomous Vehicles with Advanced Sensor Solutions,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 c5c1575565e04cd0afc57d7ac7f7a154c573b38f,Face Refinement through a Gradient Descent Alignment Approach,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 c5f71486c16add42c3394edb41b8c064b0123824,ULARIZED WITH A UNIFIED EMBEDDING,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

+c51fbd2574e488e486483e39702a3d7754cc769b,Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 c51fbd2574e488e486483e39702a3d7754cc769b,Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 c5ba4e0a8abadb68b3de135e3da522059a99b2cd,Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications,University of Padova,University of Padova,"Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy",45.40811720,11.89437860,edu,"University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy"

 c56d05649805eb0429aaa8c0f9992247f6fbfbd1,Statistical Models of Appearance for Computer Vision 1,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 c5fcea39a6d3e0abdfcf15ff62cec0950813ed0a,Human Face Verification by Robust 3 D Surface Alignment By,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae,"Content-Based Video Indexing and Retrieval using Key frames Texture , Edge and Motion Features",India,India,India,20.59368400,78.96288000,edu,

+c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae,"Content-Based Video Indexing and Retrieval using Key frames Texture , Edge and Motion Features",India,India,India,20.59368400,78.96288000,edu,

 c5d13e42071813a0a9dd809d54268712eba7883f,Face recognition robust to head pose changes based on the RGB-D sensor,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu,

 c5ab6895710b5eb7bb783456421dab70684c017c,Instance Segmentation and Object Detection with Bounding Shape Masks,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu,

 c5ab6895710b5eb7bb783456421dab70684c017c,Instance Segmentation and Object Detection with Bounding Shape Masks,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu,

@@ -13033,13 +16053,18 @@ c5935b92bd23fd25cae20222c7c2abc9f4caa770,Spatiotemporal Multiplier Networks for
 c5935b92bd23fd25cae20222c7c2abc9f4caa770,Spatiotemporal Multiplier Networks for Video Action Recognition,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 c5cfeac36fd9fc35de7752cd2c63939920eb1eb3,Dictionary-Guided Editing Networks for Paraphrase Generation,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 c5cfeac36fd9fc35de7752cd2c63939920eb1eb3,Dictionary-Guided Editing Networks for Paraphrase Generation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

+c5decf0a3906c85b6540e96c9c7003957c6d395b,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,Romania,Romania,Romania,45.94316100,24.96676000,edu,

+c5c0cda46a77a7ea8c1f6d4d762b189ef424ffa4,Semantic 3 D Reconstruction of Heads,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 c57579b067c1a5f5b764344d3c7df227eeba9155,"People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting",Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

+c5a561c662fc2b195ff80d2655cc5a13a44ffd2d,Using Language to Learn Structured Appearance Models for Image Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c5a561c662fc2b195ff80d2655cc5a13a44ffd2d,Using Language to Learn Structured Appearance Models for Image Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 c5f1ae9f46dc44624591db3d5e9f90a6a8391111,Application of non-negative and local non negative matrix factorization to facial expression recognition,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 c5421a18583f629b49ca20577022f201692c4f5d,Facial Age Classification using Subpattern-based Approaches,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

 c5c4503a331b6fc09e01e66280a531bb9db0290d,Fast Bounding Box Estimation based Face Detection,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 c53352a4239568cc915ad968aff51c49924a3072,Transfer Representation-Learning for Anomaly Detection,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c53352a4239568cc915ad968aff51c49924a3072,Transfer Representation-Learning for Anomaly Detection,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 c5b6b81a75f7ec3211473eb1ca58897a6537a085,Exploiting Best Practice of Deep CNNs Features for National Costume Image Retrieval,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+c5b6b81a75f7ec3211473eb1ca58897a6537a085,Exploiting Best Practice of Deep CNNs Features for National Costume Image Retrieval,China,China,China,35.86166000,104.19539700,edu,

 c595863b90b904a7b3197667b62efa16b0fd5ff6,Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 c595863b90b904a7b3197667b62efa16b0fd5ff6,Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 c5be0feacec2860982fbbb4404cf98c654142489,Semi-Qualitative Probabilistic Networks in Computer Vision Problems,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

@@ -13051,8 +16076,12 @@ c5392bdc97e525403a38563ba19caef342879116,Multi-instance Dynamic Ordinal Random F
 c5392bdc97e525403a38563ba19caef342879116,Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain 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,

 c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base Construction.,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base Construction.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

+c5637543e80f97c9ddab8b54a635cf71941e2786,Self-Calibrating View-Invariant Gait Biometrics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c5c6ec48ae98d86171360b19e3ec03738c712f53,Infinite Hidden Conditional Random Fields for Human Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+c5c6ec48ae98d86171360b19e3ec03738c712f53,Infinite Hidden Conditional Random Fields for Human Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1fd7e1f5dd4c514bfb3d77fceb454bc01de83ec8,HOLISTIC SHAPE-BASED OBJECT RECOGNITION USING BOTTOM-UP IMAGE STRUCTURES COPYRIGHT 2011,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 1fd7e1f5dd4c514bfb3d77fceb454bc01de83ec8,HOLISTIC SHAPE-BASED OBJECT RECOGNITION USING BOTTOM-UP IMAGE STRUCTURES COPYRIGHT 2011,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+1fbde67e87890e5d45864e66edb86136fbdbe20e,The Action Similarity Labeling Challenge,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1fc867b43092fe83c4e0bfa38a9a45ffaea86deb,Deep Speaker Embeddings for Short-Duration Speaker Verification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 1fe59275142844ce3ade9e2aed900378dd025880,Facial Landmark Detection via Progressive Initialization Shengtao,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 1f1b4e91c6e6699a2191d1d62a0304870163e48e,Attention on Attention: Architectures for Visual Question Answering (VQA).,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -13063,11 +16092,13 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 1fed938f55a713664c53d65a655181c9c3124c7a,Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 1fed938f55a713664c53d65a655181c9c3124c7a,Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 1f8c851b73ccb36a88bea0392d1ace84a79f3d97,Video Inpainting by Jointly Learning Temporal Structure and Spatial Details.,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6,Demographic Estimation from Face Images: Human vs. Machine Performance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1fd3dbb6e910708fa85c8a86e17ba0b6fef5617c,Age interval and gender prediction using PARAFAC 2 on speech recordings and face images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 1f9102f425f28552e477cf71af0846550f3f9ed9,Incremental Domain Adaptation of Deformable Part-based Models,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu,

 1f2497491ee465f299eaa8a769640cf4f084ee09,Crowd Counting via Adversarial Cross-Scale Consistency Pursuit,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 1f61c1ba961c6328923f4c6219c6889ccb538506,"Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures","CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA

 1f61c1ba961c6328923f4c6219c6889ccb538506,"Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures",University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

+1ffe20eb32dbc4fa85ac7844178937bba97f4bf0,Face Clustering: Representation and Pairwise Constraints,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1fe990ca6df273de10583860933d106298655ec8,A Wavelet-Based Image Preprocessing Method or Illumination Insensitive Face Recognition,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu,

 1fa3948af1c338f9ae200038c45adadd2b39a3e4,Computational Explorations of Split Architecture in Modeling Face and Object Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 1fa3948af1c338f9ae200038c45adadd2b39a3e4,Computational Explorations of Split Architecture in Modeling Face and Object Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

@@ -13075,9 +16106,12 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 1fd5d08394a3278ef0a89639e9bfec7cb482e0bf,Exploring Disentangled Feature Representation Beyond Face Identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 1f4aa88107d7c4b91b1436b721b7630b93ce7d06,Deeply Learned Compositional Models for Human Pose Estimation,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 1fc042874a22fad8bb34e09460c8b88bcd50fe66,Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

+1fc952fef09d63c61b9b8828f872b7a018eefac1,QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu,

 1fd6004345245daf101c98935387e6ef651cbb55,Learning Symmetry Features for Face Detection Based on Sparse Group Lasso,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+1f69fa423b076e19dc2ccf6bc9013f09ae39133c,Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations,India,India,India,20.59368400,78.96288000,edu,

 1f56d8442452c527140909d9f5b857b7eb7c997d,A Robust and Compact Descriptor Based on Center-Symmetric LBP,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 1fe1bd6b760e3059fff73d53a57ce3a6079adea1,Fast-BoW: Scaling Bag-of-Visual-Words Generation,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+1fe1bd6b760e3059fff73d53a57ce3a6079adea1,Fast-BoW: Scaling Bag-of-Visual-Words Generation,India,India,India,20.59368400,78.96288000,edu,

 1f89439524e87a6514f4fbe7ed34bda4fd1ce286,Devising Face Authentication System and Performance Evaluation Based on Statistical Models,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,

 1f89439524e87a6514f4fbe7ed34bda4fd1ce286,Devising Face Authentication System and Performance Evaluation Based on Statistical Models,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,

 1f89439524e87a6514f4fbe7ed34bda4fd1ce286,Devising Face Authentication System and Performance Evaluation Based on Statistical Models,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,

@@ -13086,40 +16120,54 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 1f27f9c0da385080f05f8cfaf0771e5aee6d9ab2,Towards Robust 3 D Face Verification using Gaussian Mixture Models Regular Paper,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca,Illumination invariant face recognition based on neural network ensemble,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca,Illumination invariant face recognition based on neural network ensemble,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu,

+1f35f0400d6d112e3b27231d0d9241258efd782d,Learning to Rank Using High-Order Information,"IIIT Hyderabad, India","IIIT Hyderabad, India","DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India",17.44523580,78.34927650,edu,

 1f8da6449cba22c351bf79b606fd17c6e5e758c2,Enhancing face recognition by image warping,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 1f877687022f7b222c7ae1ec4ec21655a290220d,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 1f877687022f7b222c7ae1ec4ec21655a290220d,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 1f877687022f7b222c7ae1ec4ec21655a290220d,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis,South China Normal University,South China Normal University,"华师, 五山路, 华南理工大学南新村, 天河区, 广州市, 广东省, 510630, 中国",23.14319700,113.34009651,edu,

 1f03f21ba6c1bf66b025029b10d4bc9bd7f65a81,VISCERAL: towards large data in medical imaging -- challenges and directions,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu,

 1fe121925668743762ce9f6e157081e087171f4c,Unsupervised learning of overcomplete face descriptors,University of Oulu,University 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,

+1fe74d637bc5e7d95abcd18b6967e51461fd8cdd,On the Dynamic Selection of Biometric Fusion Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1fe74d637bc5e7d95abcd18b6967e51461fd8cdd,On the Dynamic Selection of Biometric Fusion Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1fdeba9c4064b449231eac95e610f3288801fd3e,Fine-Grained Head Pose Estimation Without Keypoints,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 1feeab271621128fe864e4c64bab9b2e2d0ed1f1,Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+1f614a97e16671c091b1bcd1a33e1280822b53db,Tracking People's Hands and Feet Using Mixed Network AND/OR Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1f3370e2e6381408efe11e69ab12586bd6f74dc8,Report: Feature Selection Techniques for Classification,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu,

 1f7b2087dd0784a04ba4d2a68c2db9588f36c33a,Modeling Sub-Event Dynamics in First-Person Action Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 1f7b2087dd0784a04ba4d2a68c2db9588f36c33a,Modeling Sub-Event Dynamics in First-Person Action Recognition,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu,

 1f745215cda3a9f00a65166bd744e4ec35644b02,Facial cosmetics database and impact analysis on automatic face recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

+1fef45786e707e6b9b8517b0403e596ecbdea6a5,Sketch-based manga retrieval using manga109 dataset,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1f5e9952cd225dc4677146ae0f9901f070d19cb7,3D-assisted Facial Texture Super-Resolution,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 1f05473c587e2a3b587f51eb808695a1c10bc153,Towards Good Practices for Very Deep Two-Stream ConvNets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1f05473c587e2a3b587f51eb808695a1c10bc153,Towards Good Practices for Very Deep Two-Stream ConvNets,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+1f53ca209f982500069fed73efe2345358eff79e,Pedestrian Detection with Deep Convolutional Neural Network,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 1f9e7b699cf2db3888a56ece481ed2f05c88520f,Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

-1fb54581120c38528984a657b1da6c24679dbea6,Actions and Attributes from Wholes and Parts,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+1fb54581120c38528984a657b1da6c24679dbea6,Actions and Attributes from Wholes and Parts,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1f4b741a9da2fb7623ff68c8e1df3f3cce5e2542,Activity Recognition in Egocentric Life-Logging Videos,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 1f4b741a9da2fb7623ff68c8e1df3f3cce5e2542,Activity Recognition in Egocentric Life-Logging Videos,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu,

 1f24cef78d1de5aa1eefaf344244dcd1972797e8,Outlier-Robust Tensor PCA,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 1f9b2f70c24a567207752989c5bd4907442a9d0f,Deep Representations to Model User 'Likes',Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 1f9b2f70c24a567207752989c5bd4907442a9d0f,Deep Representations to Model User 'Likes',"Institute for Infocomm Research, Singapore","Institute for Infocomm Research, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

+1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,Normal University,Normal University,"云南师范大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05805090,102.69552410,edu,

+1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 1f527b5406356018e6dc401a4be8098a5a451891,Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 1f527b5406356018e6dc401a4be8098a5a451891,Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu,

 1f527b5406356018e6dc401a4be8098a5a451891,Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?,Jacobs University,Jacobs University,"Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK",53.41291480,-2.96897915,edu,

 4d8da08fb2af86ff8974e6e2108c27d152b94072,Integration of computational methods and visual analytics for large-scale high-dimensional data,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 4dd00e37f4129b0c62e111906fd8b239520c08e9,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+4dd00e37f4129b0c62e111906fd8b239520c08e9,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 4dd00e37f4129b0c62e111906fd8b239520c08e9,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 4dc8814e44dbd2b02f61fcdaec48d053a6f97537,Deep CNNs with Robust LBP Guiding Pooling for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4dc8814e44dbd2b02f61fcdaec48d053a6f97537,Deep CNNs with Robust LBP Guiding Pooling for Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+4dd72cdafead8a98dbc77a1a74bd66ffb90d3e01,Virtual and Real World Adaptation for Pedestrian Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4db6456b6933d0ae60bd1d7bb7ae01cea2ca9a9d,Deep Learning in Information Security,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 4db6456b6933d0ae60bd1d7bb7ae01cea2ca9a9d,Deep Learning in Information Security,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu,

 4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

+4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 4d9c02567e7b9e065108eb83ea3f03fcff880462,Towards Facial Expression Recognition in the Wild: A New Database and Deep Recognition System,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 4d3c4c3fe8742821242368e87cd72da0bd7d3783,Hybrid Deep Learning for Face Verification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 4d3c4c3fe8742821242368e87cd72da0bd7d3783,Hybrid Deep Learning for Face Verification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -13129,19 +16177,25 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 4db0968270f4e7b3fa73e41c50d13d48e20687be,Fashion Forward: Forecasting Visual Style in Fashion,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 4db0968270f4e7b3fa73e41c50d13d48e20687be,Fashion Forward: Forecasting Visual Style in Fashion,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu,

+4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu,

 4d7b66a123135d37689005816aa15ab31167b6d3,Evaluation of the Impetuses of Scan Path in Real Scene Searching,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 4d8ce7669d0346f63b20393ffaa438493e7adfec,Similarity Features for Facial Event Analysis,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 4d8ce7669d0346f63b20393ffaa438493e7adfec,Similarity Features for Facial Event Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+4d8ce7669d0346f63b20393ffaa438493e7adfec,Similarity Features for Facial Event Analysis,China,China,China,35.86166000,104.19539700,edu,

 4d58f886f5150b2d5e48fd1b5a49e09799bf895d,Texas 3D Face Recognition Database,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 4d15254f6f31356963cc70319ce416d28d8924a3,Quo vadis Face Recognition ?,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 4d15254f6f31356963cc70319ce416d28d8924a3,Quo vadis Face Recognition ?,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,

 4d15254f6f31356963cc70319ce416d28d8924a3,Quo vadis Face Recognition ?,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 4d9c64750ef4565dc47cec0c513458b53dd5c9a7,Detection and Analysis Methods for unmanned aerial Vehicle Images,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

 4d9c64750ef4565dc47cec0c513458b53dd5c9a7,Detection and Analysis Methods for unmanned aerial Vehicle Images,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+4d510bca00b625f86606cb0096299b993090534a,Small Sample Learning in Big Data Era,China,China,China,35.86166000,104.19539700,edu,

 4dd2be07b4f0393995b57196f8fc79d666b3aec5,Sparse localized facial motion dictionary learning for facial expression recognition,Yeungnam University,Yeungnam University,"영남대, 대학로, 부적리, 경산시, 경북, 712-749, 대한민국",35.83654030,128.75343090,edu,

 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,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,

 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,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,

@@ -13149,6 +16203,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,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,

 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,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,

 4d0e64da142299039841660ea03f24575174afa8,Deformation Analysis for 3D Face Matching,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+4d9d25e67ebabbfc0acd63798f1a260cb2c8a9bd,Playing for Data: Ground Truth from Computer Games,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 4da21844c20980c64bc0303ad887ab10758a4258,Euler Sparse Representation for Image Classification,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 4da21844c20980c64bc0303ad887ab10758a4258,Euler Sparse Representation for Image Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

 4d803109f3d9cca7c514db21a0494972d5681faa,Attribute Adaptation for Personalized Image Search,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

@@ -13159,16 +16214,19 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 4dc056cfe5d06cb9e4cbf60ef5044f956ab92b91,Investigating Gait Recognition in the Short-Wave Infrared ( SWIR ) Spectrum : Dataset and Challenges,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 4d925db7c9e3cca2e8fed644f750d218a48cd081,Automatic Concept Discovery from Parallel Text and Visual Corpora,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 4d1e46b1dcec1c9cbc4e7ff80dbf73e5e7ebcd67,WebCaricature: a benchmark for caricature recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+4d1e46b1dcec1c9cbc4e7ff80dbf73e5e7ebcd67,WebCaricature: a benchmark for caricature recognition,China,China,China,35.86166000,104.19539700,edu,

 4d1e46b1dcec1c9cbc4e7ff80dbf73e5e7ebcd67,WebCaricature: a benchmark for caricature recognition,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

 4d267098356dc4cfcd3f5aefcc26588ffb23b8dc,Smart hashing update for fast response,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 4d1757aacbc49c74a5d4e53259c92ab0e47544da,Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+4df34e0194faa27078832cb5078a2af6c9d0ea9b,Saliency Prediction in the Deep Learning Era: An Empirical Investigation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4dab9b254f31ff72e1a32651b2bfe337d3d8fd5b,A Structured Model For Action 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,

 4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4,"Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 4dcd40005726e66a0e4ed33635b38bb8107a671a,Tasting families of features for image classification,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

-4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+4d4b1aa87af8bfd65ac7bc250bba5951aed40986,A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 4da5f0c1d07725a06c6b4a2646e31ea3a5f14435,End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 4d1aaf1027231979bb0cad6dc3e31e01925970cc,The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity,"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,

 4d6462fb78db88afff44561d06dd52227190689c,Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

@@ -13192,12 +16250,14 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 12679cdcb4bc5e9c60a795c2418b40b5e1681652,Volterrafaces: Discriminant analysis using Volterra kernels,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,

 129d0e22d6b847c8002fd2c70bb508cdf3286fb8,"Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction",Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

 120c85cf69ea656b02262b4bc5761117fe35674e,Learning Exemplar-Represented Manifolds in Latent Space for Classification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+120c85cf69ea656b02262b4bc5761117fe35674e,Learning Exemplar-Represented Manifolds in Latent Space for Classification,China,China,China,35.86166000,104.19539700,edu,

 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Nebraska - Lincoln,University of Nebraska - Lincoln,"Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA",40.81747230,-96.70444680,edu,

 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,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,

 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,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,

 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,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,

 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,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,

 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,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,

+129a6daa54a7334930b6413875b6154acef3922a,Data-Driven Synthesis of Cartoon Faces Using Different Styles,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 127b17fdd8860605680cfd053398fa95d12ccc03,Visual Question Generation as Dual Task of Visual Question Answering,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 127b17fdd8860605680cfd053398fa95d12ccc03,Visual Question Generation as Dual Task of Visual Question Answering,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 127b17fdd8860605680cfd053398fa95d12ccc03,Visual Question Generation as Dual Task of Visual Question Answering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -13210,8 +16270,10 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 124538b3db791e30e1b62f81d4101be435ee12ef,"Basic level scene understanding: categories, attributes and structures",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 124538b3db791e30e1b62f81d4101be435ee12ef,"Basic level scene understanding: categories, attributes and structures",Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 1275d6a800f8cf93c092603175fdad362b69c191,Deep Face Recognition: A Survey,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+123bc74a006a75fefcdd9995cbdc1c6c64c8bed6,Socially Constrained Structural Learning for Groups Detection in Crowd,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 121503705689f46546cade78ff62963574b4750b,We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 12fa75f90b0dcf254c33145fe08e7ce0f099066a,Active Learning with Cross-Class Knowledge Transfer,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+120e7a0e9e7bd0eaa248f04cf393a735832a5044,The Analysis of Local Motion and Deformation in Image Sequences Inspired by Physical Electromagnetic Interaction,China,China,China,35.86166000,104.19539700,edu,

 122f51cee489ba4da5ab65064457fbe104713526,Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 122f51cee489ba4da5ab65064457fbe104713526,Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 122f51cee489ba4da5ab65064457fbe104713526,Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -13221,29 +16283,38 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 12dcb25f10d42ad2b4352ba9fe7a6a32ee2635a6,The Automatic Scientist will be a Data System,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 12af8628e590b3da288d7f5ef0ac85676b8a7fa1,Principal Curvature-Based Region Detector for Object Recognition,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu,

 12af8628e590b3da288d7f5ef0ac85676b8a7fa1,Principal Curvature-Based Region Detector for Object Recognition,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,India,India,India,20.59368400,78.96288000,edu,

+12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,India,India,India,20.59368400,78.96288000,edu,

+12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,India,India,India,20.59368400,78.96288000,edu,

 128f697ef28dfea6be140ae457cd6b74c6d89bf2,An Optimal Score Fusion Strategy For a Multimodal Biometric Authentication System for Mobile Device,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

 128f697ef28dfea6be140ae457cd6b74c6d89bf2,An Optimal Score Fusion Strategy For a Multimodal Biometric Authentication System for Mobile Device,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu,

 124f6992202777c09169343d191c254592e4428c,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 124f6992202777c09169343d191c254592e4428c,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 12847a91be77db332944fa45b7e379b89e135e27,Bird Species Classification using Transfer Learning with Multistage Training,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+12847a91be77db332944fa45b7e379b89e135e27,Bird Species Classification using Transfer Learning with Multistage Training,India,India,India,20.59368400,78.96288000,edu,

 1270044a3fa1a469ec2f4f3bd364754f58a1cb56,Video-Based Face Recognition Using Probabilistic Appearance Manifolds,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 126214ef0dcef2b456cb413905fa13160c73ec8e,Modelling human perception of static facial expressions,University of Siena,University of Siena,"大學 University, 澤祥街 Chak Cheung Street, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.41338620,114.21005800,edu,

 12c6f3ae8f20a1473a89b9cbb82d0f02275ea62b,Hand detection using multiple proposals,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 12c6f3ae8f20a1473a89b9cbb82d0f02275ea62b,Hand detection using multiple proposals,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 126535430845361cd7a3a6f317797fe6e53f5a3b,Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 126535430845361cd7a3a6f317797fe6e53f5a3b,Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+12055b8f82d5411f9ad196b60698d76fbd07ac1e,Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25,The fear gasping face as a threat display in a Melanesian society.,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu,

 12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25,The fear gasping face as a threat display in a Melanesian society.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

+12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25,The fear gasping face as a threat display in a Melanesian society.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 1255afbf86423c171349e874b3ac297de19f00cd,Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

 126848747d6af541c5934ec95997decf33c28ea7,Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,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,

 126848747d6af541c5934ec95997decf33c28ea7,Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,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,

 126848747d6af541c5934ec95997decf33c28ea7,Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,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,

+12d0c11d546d91e776a170898ebf3a38c010695c,Semi-Supervised Hashing for Large-Scale Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1260950b06b68b2be42ba54112f5856044e25652,Tracking pedestrians with bacterial foraging optimization swarms,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu,

+12727bb8a4a1462553a13a253a97c2569cbcba0a,Study on Different Representation Methods for Subspace Segmentation,China,China,China,35.86166000,104.19539700,edu,

 12ccfc188de0b40c84d6a427999239c6a379cd66,Sparse Adversarial Perturbations for Videos,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 12bce6e2db10faa4f370f9e40a6084296080b5cb,Learning to rank in person re-identification with metric ensembles,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 12169222eeee058578629e5097f250c3992530b1,Boosting relative spaces for categorizing objects with large intra-class variation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 12169ff906633e486599660ebf77dd73060640b9,Multi-stage Contextual Deep Learning for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1235dd37312cb20aced0e97d953f6379d8a0c7d4,Grounded Textual Entailment,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

+124476c2815bbfb523c77943c74356f94f79b580,Recognition of Faces in Unconstrained Environments: A Comparative Study,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 121fe33daf55758219e53249cf8bcb0eb2b4db4b,An Empirical Camera Model for Internet Color Vision,Middlebury College,Middlebury College,"Middlebury College, Old Chapel Road, Middlebury, Addison County, Vermont, 05753, USA",44.00907770,-73.17679460,edu,

 12811f1dc14c9377903d4c814e112071118071a5,I Have Seen Enough: Transferring Parts Across Categories,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 12f2325789febc95c9b453d12194bf4a778e60bd,Semantic Video Segmentation: A Review on Recent Approaches,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

@@ -13268,6 +16339,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 120bcc9879d953de7b2ecfbcd301f72f3a96fb87,Report on the FG 2015 Video Person Recognition Evaluation,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 120bcc9879d953de7b2ecfbcd301f72f3a96fb87,Report on the FG 2015 Video Person Recognition Evaluation,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 120bcc9879d953de7b2ecfbcd301f72f3a96fb87,Report on the FG 2015 Video Person Recognition Evaluation,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

+120b22e7a47923e42a123b9b68a93ccac5aaea6d,Paper on Ear Biometric Authentication,India,India,India,20.59368400,78.96288000,edu,

 12095f9b35ee88272dd5abc2d942a4f55804b31e,DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild Rıza,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,

 12095f9b35ee88272dd5abc2d942a4f55804b31e,DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild Rıza,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

@@ -13276,6 +16348,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+12d813f14166578dea8aa6aacc945102dddfd05d,Fog Computing in 5 G Networks : An Application Perspective,India,India,India,20.59368400,78.96288000,edu,

 124d43c5f76e70ec1f9eac62ef48f1dc2b547c04,Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b,Assessing tracking assessment measures,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 12c2f7cee1f6abff0d4de9b4b90caa3b5c6084a0,Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

@@ -13291,11 +16364,16 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 285f0885385d6214363bb986ad23bcfd3abe84f6,RepMet: Representative-based metric learning for classification and one-shot object detection,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 285f0885385d6214363bb986ad23bcfd3abe84f6,RepMet: Representative-based metric learning for classification and one-shot object detection,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 289d833a35c2156b7e332e67d1cb099fd0683025,HICO: A Benchmark for Recognizing Human-Object Interactions in Images,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,China,China,China,35.86166000,104.19539700,edu,

+280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,China,China,China,35.86166000,104.19539700,edu,

+280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,China,China,China,35.86166000,104.19539700,edu,

 280895aa15bc8308f919d4cad666e826e82608f4,Curious George: An Integrated Visual Search Platform,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 280895aa15bc8308f919d4cad666e826e82608f4,Curious George: An Integrated Visual Search Platform,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu,

 28de411a5b3eb8411e7bcb0003c426aa91f33e97,Emotion Detection Using Facial Expressions-A Review,Kurukshetra University,Kurukshetra University,"Kurukshetra University, SH6, Kurukshetra, Haryana, 132118, India",29.95826275,76.81563045,edu,

 28de411a5b3eb8411e7bcb0003c426aa91f33e97,Emotion Detection Using Facial Expressions-A Review,Kurukshetra University,Kurukshetra University,"Kurukshetra University, SH6, Kurukshetra, Haryana, 132118, India",29.95826275,76.81563045,edu,

 28c4103d1e27b4312115d3a6baacf3afbba01a55,Learning by Asking Questions,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,

+288bddfabe739b32721df62d821632e3dafed06a,Robust multi-image based blind face hallucination,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b,A New Fuzzy Stacked Generalization Technique and Analysis of its Performance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 282503fa0285240ef42b5b4c74ae0590fe169211,Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 282503fa0285240ef42b5b4c74ae0590fe169211,Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 286e4e6b0360c06f659d351ac885aafb62a6b73d,Gait Verification Using Probabilistic Methods,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

@@ -13309,12 +16387,15 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 2829288498cf03d87301f12a5bebf7f9faca0884,Face recognition using OPRA-faces,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 286f443fa85bc9d892ab54878c0ace0264d0dcff,Principled Parallel Mean-Field Inference for Discrete Random Fields,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 28df3f11894ce0c48dd8aee65a6ec76d9009cbbd,Recurrent Flow-Guided Semantic Forecasting,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

-28bdaf9b7fc5af73482e324d45acf91722f07340,Joint Object and Part Segmentation Using Deep Learned Potentials,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+28bdaf9b7fc5af73482e324d45acf91722f07340,Joint Object and Part Segmentation Using Deep Learned Potentials,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 28226aedf1972af2008509cf3d1e7c6646c77f7b,Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+285faa4cc54ef9b1834128705e0f96ad17b61e0b,SIFT Flow: Dense Correspondence across Scenes and Its Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

+28fe6e785b32afdcd2c366c9240a661091b850cf,Facial Expression Recognition using Patch based Gabor Features,India,India,India,20.59368400,78.96288000,edu,

+28fe6e785b32afdcd2c366c9240a661091b850cf,Facial Expression Recognition using Patch based Gabor Features,India,India,India,20.59368400,78.96288000,edu,

 28af188e26836934c9beea8b2bc8cd53447197fa,Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units,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,

 28af188e26836934c9beea8b2bc8cd53447197fa,Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 28b8d20162f007eab1acd9d7cdb8baac914de820,Unlimited Road-scene Synthetic Annotation (URSA) Dataset,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

@@ -13323,9 +16404,14 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 286adff6eff2f53e84fe5b4d4eb25837b46cae23,Single-Image Depth Perception in the Wild,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 28858a6e956d712331986b31d1646d6b497ff1a9,Independent Neural Computation of Value from Other People's Confidence.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 28858a6e956d712331986b31d1646d6b497ff1a9,Independent Neural Computation of Value from Other People's Confidence.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

+28858a6e956d712331986b31d1646d6b497ff1a9,Independent Neural Computation of Value from Other People's Confidence.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,China,China,China,35.86166000,104.19539700,edu,

+28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,China,China,China,35.86166000,104.19539700,edu,

+28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,China,China,China,35.86166000,104.19539700,edu,

 28e1668d7b61ce21bf306009a62b06593f1819e3,"Correction: Validation of the Amsterdam Dynamic Facial Expression Set – Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions",University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu,

 28dac6b73df69f35b11f8f10ef023674a2f39af5,Deep Learning of Graph Matching,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 286b5b80bc76dbb63094a85951bb8e8895ee9f14,TriKon: A hypervisor aware manycore processor,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+286b5b80bc76dbb63094a85951bb8e8895ee9f14,TriKon: A hypervisor aware manycore processor,India,India,India,20.59368400,78.96288000,edu,

 28ff4c98b7a922f4502c69003f686fe0f94083a6,On the regularization of image semantics by modal expansion,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 288964068cd87d97a98b8bc927d6e0d2349458a2,Mean-Variance Loss for Deep Age Estimation from a Face,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 288964068cd87d97a98b8bc927d6e0d2349458a2,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, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -13340,12 +16426,15 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

+28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,China,China,China,35.86166000,104.19539700,edu,

 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 28bf62416b5b0f3ca87332b83c3944f515505f66,Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 28bf62416b5b0f3ca87332b83c3944f515505f66,Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 28bf62416b5b0f3ca87332b83c3944f515505f66,Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 288d2704205d9ca68660b9f3a8fda17e18329c13,Studying Very Low Resolution Recognition Using Deep Networks,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 2862615e5767a8a81257138f04de6c5bd33e2984,Egocentric Future Localization,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

+28a3673e57839ab75fe1c05ce2a4c1a00a7efe76,Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework,China,China,China,35.86166000,104.19539700,edu,

+28a3673e57839ab75fe1c05ce2a4c1a00a7efe76,Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework,China,China,China,35.86166000,104.19539700,edu,

 2836d68c86f29bb87537ea6066d508fde838ad71,Personalized Age Progression with Aging Dictionary,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 2836d68c86f29bb87537ea6066d508fde838ad71,Personalized Age Progression with Aging Dictionary,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 280d632ef3234c5ab06018c6eaccead75bc173b3,Efficient Image and Video Co-localization with Frank-Wolfe Algorithm,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -13382,6 +16471,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 164300823f284b4fa8fc923fa89c8c13672632be,Reverse engineering the face space: Discovering the critical features for face identification.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 164300823f284b4fa8fc923fa89c8c13672632be,Reverse engineering the face space: Discovering the critical features for face identification.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 164300823f284b4fa8fc923fa89c8c13672632be,Reverse engineering the face space: Discovering the critical features for face identification.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

+162403e189d1b8463952fa4f18a291241275c354,Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 16d3954f0418bd9a2ac20a2be6db93d49213c680,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 16d3954f0418bd9a2ac20a2be6db93d49213c680,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 162dfd0d2c9f3621d600e8a3790745395ab25ebc,Head Pose Estimation Based on Multivariate Label Distribution,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu,

@@ -13389,29 +16479,38 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 16e95a907b016951da7c9327927bb039534151da,3D Face Recognition Using Spherical Vector Norms Map,Beijing Union University,Beijing Union University,"北京联合大学, 北四环东路, 飘亮阳光广场, 太阳宫乡, 朝阳区 / Chaoyang, 北京市, 100012, 中国",39.98900680,116.42067718,edu,

 16e95a907b016951da7c9327927bb039534151da,3D Face Recognition Using Spherical Vector Norms Map,Beijing Union University,Beijing Union University,"北京联合大学, 北四环东路, 飘亮阳光广场, 太阳宫乡, 朝阳区 / Chaoyang, 北京市, 100012, 中国",39.98900680,116.42067718,edu,

 16e95a907b016951da7c9327927bb039534151da,3D Face Recognition Using Spherical Vector Norms Map,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu,

+16d1e29b588fd26f5f0ac8038110f7b8500a1ec9,$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 16161051ee13dd3d836a39a280df822bf6442c84,Learning Efficient Object Detection Models with Knowledge Distillation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 16161051ee13dd3d836a39a280df822bf6442c84,Learning Efficient Object Detection Models with Knowledge Distillation,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

 1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6,Recent developments in social signal processing,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,

 1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6,Recent developments in social signal processing,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,

 1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6,Recent developments in social signal processing,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu,

 16c3f99f8f48d4ccb71b782f79601d5efeab8461,Pedestrian Detection Based on Informed Haar-like Features and Switchable Deep Network,Anhui Polytechnic University,Anhui Polytechnic University,"安徽工程大学, 鸠江北路, 芜湖市, 芜湖市区, 芜湖市 / Wuhu, 安徽省, 241000, 中国",31.34185955,118.40739712,edu,

+16bd796687ca17ac7ca28d28d856b324186628ba,Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+16bd796687ca17ac7ca28d28d856b324186628ba,Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1687d0120e937d5efe2022cbeab19b38edba0608,A 2 A : Attention to Attention Reasoning for Movie Question Answering,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 1687d0120e937d5efe2022cbeab19b38edba0608,A 2 A : Attention to Attention Reasoning for Movie Question Answering,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 166d069ea056fbb42b10ca660956fee881e6c875,Inverse Rendering with a Morphable Model: A Multilinear Approach,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

-16f341786f7fa8b117e8812a58742771c089e68f,Reducing Overfitting in Deep Networks by Decorrelating Representations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+16f341786f7fa8b117e8812a58742771c089e68f,Reducing Overfitting in Deep Networks by Decorrelating Representations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+166f42f66c5e6dd959548acfb97dc77a36013639,Bilevel Model-Based Discriminative Dictionary Learning for Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1648cf24c042122af2f429641ba9599a2187d605,Boosting cross-age face verification via generative age normalization,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 164b0e2a03a5a402f66c497e6c327edf20f8827b,Sparse Deep Transfer Learning for Convolutional Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 164b0e2a03a5a402f66c497e6c327edf20f8827b,Sparse Deep Transfer Learning for Convolutional Neural Network,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 16dd9ea784a862c45d1d2af6d2fb83198f567719,Human Pose Estimation with Parsing Induced Learner,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 16dd9ea784a862c45d1d2af6d2fb83198f567719,Human Pose Estimation with Parsing Induced Learner,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+16dd9ea784a862c45d1d2af6d2fb83198f567719,Human Pose Estimation with Parsing Induced Learner,China,China,China,35.86166000,104.19539700,edu,

 16701e3cbd43b52e32d567649a194245dcd31829,Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 1633c30909f4f3d91ea4256c76c71abf62a52bd8,DEEP FEATURE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION AND LAND COVER ESTIMATION,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu,

 162065fb9de1928f7abd593ee9a1b7d41b5a4310,A sparse object category model for efficient learning and exhaustive recognition,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 162065fb9de1928f7abd593ee9a1b7d41b5a4310,A sparse object category model for efficient learning and exhaustive recognition,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

+16fdc3829dc8322a26eac46e93703000005f3d6d,An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,India,India,India,20.59368400,78.96288000,edu,

+16fdc3829dc8322a26eac46e93703000005f3d6d,An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,India,India,India,20.59368400,78.96288000,edu,

 16c7c31a7553d99f1837fc6e88e77b5ccbb346b8,Person Re-identification by Descriptive and Discriminative Classification,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 16d03786b5d44a29e66f6e0472b8e7ac42e127f0,Object class recognition by boosting a part-based model,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

 16eb964a5a0f5fa3692440f07dd60b23354f5f58,Observing the Natural World with Flickr,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

+169927e68301d881da6585dd09e1bc9a88adf147,AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu,

 167efded92139b274b4ddf88aff92598e29cbb44,Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video,"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,

+160ab0e879f4451fa4df88cd567508150894ba9d,Cross Dataset Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 16727cd69372019267589a27574147e8cf3b25f8,Human Attribute Recognition by Rich Appearance Dictionary,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 16727cd69372019267589a27574147e8cf3b25f8,Human Attribute Recognition by Rich Appearance Dictionary,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 16fda65f258ca22d856bb0252891deecc59efc3d,Is Enough Enough? What Is Sufficiency in Biometric Data?,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

@@ -13422,7 +16521,11 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 16b9d258547f1eccdb32111c9f45e2e4bbee79af,NormFace: L2 Hypersphere Embedding for Face Verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 16b9d258547f1eccdb32111c9f45e2e4bbee79af,NormFace: L2 Hypersphere Embedding for Face Verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 16d6737b50f969247339a6860da2109a8664198a,Convolutional Neural Networks for Age and Gender Classification,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

+164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu,

+164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 16820ccfb626dcdc893cc7735784aed9f63cbb70,Real-time embedded age and gender classification in unconstrained video,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 16d2ead2c3e98aa1ee9c948855a027e1da2b8eea,Multi-view Deep Network for Cross-View Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 16bce9f940bb01aa5ec961892cc021d4664eb9e4,Mutual Component Analysis for Heterogeneous Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -13446,6 +16549,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 163dc2bb0ffa32ef011df09c4ef7e3cc4c24ea35,Learning-based Lane Following and Changing Behaviors for Autonomous Vehicle,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 163dc2bb0ffa32ef011df09c4ef7e3cc4c24ea35,Learning-based Lane Following and Changing Behaviors for Autonomous Vehicle,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,

 166d8f840c502c5095c8651540dd393743d63ce9,Kernel Descriptors for Visual Recognition,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+16bd481fb66259df9c4c22b54797d8e8adc910fc,Robustifying Descriptor Instability Using Fisher Vectors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 169618b8dc9b348694a31c6e9e17b989735b4d39,Unsupervised Representation Learning by Sorting Sequences,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu,

 163e07487115641046022d57fcbc6dc9fd2669f2,Complementary feature extraction for branded handbag recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 16283efecc7332e363c9419d7129bbd5d95cbf4d,Recognizing actions from still images,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

@@ -13458,22 +16562,31 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base
 1693e615c3a7a843880eb5bbf4e3f1beb0580f5c,Nonparametric scene parsing: Label transfer via dense scene alignment,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 1665fe64f8439a1854595e2e73394517d44c35b4,An improved LBP algorithm for avatar face recognition,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu,

 1677d29a108a1c0f27a6a630e74856e7bddcb70d,Efficient misalignment-robust representation for real-time face recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+f74b62933362cce595ac247fc6f54ede68697d75,An Example-Based Two-Step Face Hallucination Method through Coefficient Learning,China,China,China,35.86166000,104.19539700,edu,

 f74b62933362cce595ac247fc6f54ede68697d75,An Example-Based Two-Step Face Hallucination Method through Coefficient Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 f730990ad4f10e7ce09e7680b7864751787445dd,JointFlow : Temporal Flow Fields for Multi Person Pose Tracking,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,City University of New York,The City University of New York,"Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA",40.87228250,-73.89489171,edu,

 f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

-f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 f7bdb849dafe17c952bfd88b879e01f74cf59d78,Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 f7bdb849dafe17c952bfd88b879e01f74cf59d78,Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 f7bdb849dafe17c952bfd88b879e01f74cf59d78,Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 f7b422df567ce9813926461251517761e3e6cda0,Face aging with conditional generative adversarial networks,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

+f79ab9baccd466d86460214c5cee9f3be0af4064,Image Segmentation of Medical Images using Automatic Fuzzy C-Mean Clustering,India,India,India,20.59368400,78.96288000,edu,

 f7e16e57b93b9dac11280427c7575a0a0ae4e0a8,Handcrafting vs Deep Learning : An Evaluation of NTraj + Features for Pose Based Action Recognition,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu,

+f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu,

+f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu,

+f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu,

 f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

+f73b15d33b9dcf329cf605815be7493b162b1fab,SLMotion - An extensible sign language oriented video analysis tool,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+f73b15d33b9dcf329cf605815be7493b162b1fab,SLMotion - An extensible sign language oriented video analysis tool,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 f7b4bc4ef14349a6e66829a0101d5b21129dcf55,Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

+f7b4bc4ef14349a6e66829a0101d5b21129dcf55,Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 f726738954e7055bb3615fa7e8f59f136d3e0bdc,Are you eligible? Predicting adulthood from face images via class specific mean autoencoder,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

 f7f19ac1c4e38c104045c306f5ddac6329193d8c,15 Measuring External Face Appearance for Face Classification,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu,

 f7824758800a7b1a386db5bd35f84c81454d017a,KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

@@ -13484,12 +16597,17 @@ f78fe101b21be36e98cd3da010051bb9b9829a1e,Unsupervised Domain Adaptation for Faci
 f78fe101b21be36e98cd3da010051bb9b9829a1e,Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu,

 f7f1c57d38748d718309d7d55ce79e41d60f0940,Palmprint Recognition Using Deep Scattering Convolutional Network.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 f7093b138fd31956e30d411a7043741dcb8ca4aa,Hierarchical Clustering in Face Similarity Score Space,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

+f755d9b2b7ef66ffdf7504b34167b95d0685c18d,Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+f755d9b2b7ef66ffdf7504b34167b95d0685c18d,Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f7ed39dec6e9060dc3dc58656ddf823916a2a643,Delta-encoder: an effective sample synthesis method for few-shot object recognition,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu,

 f7ed39dec6e9060dc3dc58656ddf823916a2a643,Delta-encoder: an effective sample synthesis method for few-shot object recognition,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 f715b29109a1e619136df43979a23edd5b31d41c,Deep Multi-label Hashing for Large-Scale Visual Search Based on Semantic Graph,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 f7a271acccf9ec66c9b114d36eec284fbb89c7ef,Does attractiveness influence condom use intentions in heterosexual men? An experimental study,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 f7a271acccf9ec66c9b114d36eec284fbb89c7ef,Does attractiveness influence condom use intentions in heterosexual men? An experimental study,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu,

 f7a271acccf9ec66c9b114d36eec284fbb89c7ef,Does attractiveness influence condom use intentions in heterosexual men? An experimental study,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu,

+f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,India,India,India,20.59368400,78.96288000,edu,

+f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,India,India,India,20.59368400,78.96288000,edu,

+f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,India,India,India,20.59368400,78.96288000,edu,

 f7ac8523770b5965aadc27cb5364d77853113be4,Face Authentication Based on Multiple Profiles Extracted from Range Data,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 f7ab8e56fc68575a0a5a94d315841f25630cf8a1,Exploiting Color Information for Better Scene Text Recognition,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 f7ab8e56fc68575a0a5a94d315841f25630cf8a1,Exploiting Color Information for Better Scene Text Recognition,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

@@ -13497,10 +16615,11 @@ f7a91f74b0f8ac03459770bf4ba20af58a72a559,Visual Scan Paths and Recognition of Fa
 f759880a3314850d3a712bcd96494b62f60d5ece,Pigeonring: A Principle for Faster Thresholded Similarity Search,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 f759880a3314850d3a712bcd96494b62f60d5ece,Pigeonring: A Principle for Faster Thresholded Similarity Search,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu,

 f7af6fe6fb6393f7780163ae37c5931ce566daac,Synthetically Trained 3 D Visual Tracker of Underwater Vehicles,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

-f7fdf862b7edeb5fd9d8fad7062c1f029b419769,Visual interpretability for deep learning: a survey,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+f7fdf862b7edeb5fd9d8fad7062c1f029b419769,Visual interpretability for deep learning: a survey,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 f76a04bdc43f1e440b274b299b07ce2e423431e6,Face Recognition from Video: a Review,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 f7c50d2be9fba0e4527fd9fbe3095e9d9a94fdd3,Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 f7c50d2be9fba0e4527fd9fbe3095e9d9a94fdd3,Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu,

+f75852386e563ca580a48b18420e446be45fcf8d,ILLUMINATION INVARIANT FACE RECOGNITION,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f780e752a18b6a023b687a537351641f637a12c3,Artistic Image Generation from Sketch by Using Conditional Adversarial Network and Style Feature Transform,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

 f781e50caa43be13c5ceb13f4ccc2abc7d1507c5,Towards Flexible and Intelligent Vision Systems - From Thresholding to CHLAC -,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 f76faa629659ce9b9b8f0062549fa2810fa3a1a3,Activity understanding and unusual event detection in surveillance videos,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

@@ -13512,11 +16631,13 @@ f775be87ca71180d1cf97d81678f4fd713343e01,Curriculum Learning for Multi-task Clas
 f735188dbcb276cd1da248110712fde0d1b2aec7,Classification and clustering via dictionary learning with structured incoherence and shared features,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu,

 f7943ecda36b38725efda73d68b7ea70272451b8,Superimposition-guided Facial Reconstruction from Skull,Louisiana State University,Louisiana State University,"LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA",30.40550035,-91.18620474,edu,

 f7943ecda36b38725efda73d68b7ea70272451b8,Superimposition-guided Facial Reconstruction from Skull,Louisiana State University,Louisiana State University,"LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA",30.40550035,-91.18620474,edu,

+f727837e03a039d9bcec6d02cd87256f5a5854a4,"Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Network for Semantic Segmentation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Network for Semantic Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 64c1aa13fecfc1cdd4231e39a40a5f6db91b90f8,Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 64b06918add69292c088455b62c4b0f06c727b1b,Virtual-to-Real: Learning to Control in Visual Semantic Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 648c381bb3365425fddd643f1ce7d97bc975f7e6,A Bayesian Model for Extracting Facial Features,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+648c381bb3365425fddd643f1ce7d97bc975f7e6,A Bayesian Model for Extracting Facial Features,China,China,China,35.86166000,104.19539700,edu,

 648c381bb3365425fddd643f1ce7d97bc975f7e6,A Bayesian Model for Extracting Facial Features,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 64782a2bc5da11b1b18ca20cecf7bdc26a538d68,Facial Expression Recognition using Spectral Supervised Canonical Correlation Analysis,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 64782a2bc5da11b1b18ca20cecf7bdc26a538d68,Facial Expression Recognition using Spectral Supervised Canonical Correlation Analysis,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

@@ -13538,15 +16659,19 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 64afa85b79c7ad60d8f3f9265259c654c03a01e8,Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所；西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu,

 6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4,Deep Learning Face Attributes in the Wild,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4,Deep Learning Face Attributes in the Wild,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+6412d8bbcc01f595a2982d6141e4b93e7e982d0f,"Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 64b22e5af5dc07309c85a742728ff6f476bd71d1,Modeling Collective Crowd Behaviors in Video,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 642e271c72d0cc7426deb3f0199b2b71140e4b24,Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 6495d989fe33b19d2b7755f9077d8b5bf3190151,Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

+6403117f9c005ae81f1e8e6d1302f4a045e3d99d,"A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 64e75f53ff3991099c3fb72ceca55b76544374e5,Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 64d7e62f46813b5ad08289aed5dc4825d7ec5cff,Mix and Match: Joint Model for Clothing and Attribute Recognition,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu,

+64d7e62f46813b5ad08289aed5dc4825d7ec5cff,Mix and Match: Joint Model for Clothing and Attribute Recognition,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 6424add0f4f99cb582ecc50c4a33ae18d9236021,Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 6424add0f4f99cb582ecc50c4a33ae18d9236021,Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,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,

 6424add0f4f99cb582ecc50c4a33ae18d9236021,Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 64c1d9a031ec0e6785dc92edc0d00cc0802e32b0,Key Person Aided Re-identification in Partially Ordered Pedestrian Set,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+64c1d9a031ec0e6785dc92edc0d00cc0802e32b0,Key Person Aided Re-identification in Partially Ordered Pedestrian Set,China,China,China,35.86166000,104.19539700,edu,

 6459f1e67e1ea701b8f96177214583b0349ed964,Generalized subspace based high dimensional density estimation,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

 6459f1e67e1ea701b8f96177214583b0349ed964,Generalized subspace based high dimensional density estimation,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu,

 64a5709d41f4c2ef0383cee9932e89bb58085588,Surgeon Technical Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

@@ -13570,21 +16695,32 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 64b1de5ebd431354816ea2ebe04dd21b1953bd4f,The Phenomenology of Eye Movement Intentions and their Disruption in Goal-Directed Actions,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

 64b90c3220c43f58cb38da9af1a1b77da3dde63e,Recurrent Attention Models for Depth-Based Person Identification,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 649b47e02b82afeccc858f1f3dcec98379bfbbbd,Face Alignment Under Various Poses and Expressions,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+649b47e02b82afeccc858f1f3dcec98379bfbbbd,Face Alignment Under Various Poses and Expressions,China,China,China,35.86166000,104.19539700,edu,

 64d5772f44efe32eb24c9968a3085bc0786bfca7,Morphable Displacement Field Based Image Matching for Face Recognition across Pose,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+64d5772f44efe32eb24c9968a3085bc0786bfca7,Morphable Displacement Field Based Image Matching for Face Recognition across Pose,China,China,China,35.86166000,104.19539700,edu,

+641f9c87356c0829e690272b010848242058b8bc,Object Co-Detection via Efficient Inference in a Fully-Connected CRF,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 643d11703569766bed0a994941ae5f7b3e101659,Unsupervised Training for 3D Morphable Model Regression,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 643d11703569766bed0a994941ae5f7b3e101659,Unsupervised Training for 3D Morphable Model Regression,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

 6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",India,India,India,20.59368400,78.96288000,edu,

 6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

-64a44e1d5cbefbb403811360a88f4d93e569ffbd,"Perspective distortion modeling, learning and compensation","University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",India,India,India,20.59368400,78.96288000,edu,

+64a44e1d5cbefbb403811360a88f4d93e569ffbd,"Perspective distortion modeling, learning and compensation",UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+64da1bfef7db423f31ff92713fbbe1994ad4124d,Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 64da1bfef7db423f31ff92713fbbe1994ad4124d,Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

 64b14354afc0e33b1786c0c5ab1af46e76b4631c,Enhanced Fine-Form Perception Does Not Contribute to Gestalt Face Perception in Autism Spectrum Disorder,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

 0fd4211d41e2395282e76f339f313d6eda5c2b60,Weaving Multi-scale Context for Single Shot Detector,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0f22005f8f2bc134f02c4a76cde30349e3389b8d,ShuffleSeg: Real-time Semantic Segmentation Network,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 0fc254272db096a9305c760164520ad9914f4c9e,Unsupervised convolutional neural networks for motion estimation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 0fb8317a8bf5feaf297af8e9b94c50c5ed0e8277,Detecting Hands in Egocentric Videos: Towards Action Recognition,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 0f5700e8aa4cba32828ca12cd4e3732a33148951,Spatio-Temporal Modeling and Prediction of Visual Attention in Graphical User Interfaces,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 0f940d2cdfefc78c92ec6e533a6098985f47a377,A hierarchical framework for simultaneous facial activity tracking,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu,

+0f112e49240f67a2bd5aaf46f74a924129f03912,Age-Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0f112e49240f67a2bd5aaf46f74a924129f03912,Age-Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0fdb6823669959cb709fdb3070e7e5efeebb046a,Robust Recognition against Illumination Variations Based on SIFT,University of Tabriz,University of Tabriz,"دانشگاه تبریز, شهید ایرج خلوتی, کوی انقلاب, تبریز, بخش مرکزی, شهرستان تبریز, استان آذربایجان شرقی, 5166616471, ‏ایران‎",38.06125530,46.32984840,edu,

 0f0241124d6092a0bb56259ac091467c2c6938ca,Associating Faces and Names in Japanese Photo News Articles on the Web,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 0f6911bc1e6abee8bbf9dd3f8d54d40466429da7,Zero-shot Learning with Semantic Output Codes,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

@@ -13598,6 +16734,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 0f22251fa9c4bb120f00767053430fbab141fac3,Support Vector Guided Dictionary Learning,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 0f22251fa9c4bb120f00767053430fbab141fac3,Support Vector Guided Dictionary Learning,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 0faab61c742609be74463d30b0eb1118dba4a4f3,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+0faab61c742609be74463d30b0eb1118dba4a4f3,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+0faab61c742609be74463d30b0eb1118dba4a4f3,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 0fe23b1530fde4bb10959e811216ce16fec6b4e9,A New Approach for Learning Discriminative Dictionary for Pattern Classification,Hanoi University of Science and Technology,Hanoi University of Science and Technology,"HUST, Trần Đại Nghĩa, Hai Bà Trưng, Hà Nội, 10999, Việt Nam",21.00395200,105.84360183,edu,

 0f7bf963a06682d69387c54632cec9e835423617,Gamesourcing to acquire labeled human pose estimation data,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,

 0f2f4edb7599de34c97f680cf356943e57088345,Stacked Hourglass Networks for Human Pose Estimation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

@@ -13617,16 +16755,36 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 0fe8b5503681128da84a8454a4cc94470adc09ea,Sparsity Potentials for Detecting Objects with the Hough Transform,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu,

 0fca9a022f4910dda7f8bdc92bbbe8a9c6e35303,Accelerating t-SNE using tree-based algorithms,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0f21a39fa4c0a19c4a5b4733579e393cb1d04f71,Evaluation of optimization components of a 3D to 2D landmark fitting algorithm for head pose estimation,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,

 0f21a39fa4c0a19c4a5b4733579e393cb1d04f71,Evaluation of optimization components of a 3D to 2D landmark fitting algorithm for head pose estimation,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,

 0f11d0d773544ea0d6585aeedb839e8cd8124d9e,Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 0f4eb63402a4f3bae8f396e12133684fb760def1,Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

 0f2f1e6e23e4bb9f16ba969d50582e0064ac471c,Basis mapping based boosting for object detection,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+0fafbeedc41f5e31f81c91f56eca448cc29e1701,Real-Time Pedestrian Detection System,India,India,India,20.59368400,78.96288000,edu,

+0fafbeedc41f5e31f81c91f56eca448cc29e1701,Real-Time Pedestrian Detection System,India,India,India,20.59368400,78.96288000,edu,

+0fcda01765c5a0b4cff99b5ed5139a6e1eddb689,Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0f533bc9fdfb75a3680d71c84f906bbd59ee48f1,Illumination invariant feature extraction based on natural images statistics — Taking face images as an example,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu,

 0f533bc9fdfb75a3680d71c84f906bbd59ee48f1,Illumination invariant feature extraction based on natural images statistics — Taking face images as an example,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

 0fa956029110bd82b34208cd18a77ca34d2c5eed,"Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 0f81b0fa8df5bf3fcfa10f20120540342a0c92e5,"Mirror, mirror on the wall, tell me, is the error small?",Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 0f81b0fa8df5bf3fcfa10f20120540342a0c92e5,"Mirror, mirror on the wall, tell me, is the error small?",Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+0f945f796a9343b51a3dc69941c0fa1a98c0f448,Local hypersphere coding based on edges between visual words,China,China,China,35.86166000,104.19539700,edu,

 0f945f796a9343b51a3dc69941c0fa1a98c0f448,Local hypersphere coding based on edges between visual words,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 0faeec0d1c51623a511adb779dabb1e721a6309b,Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 0faeec0d1c51623a511adb779dabb1e721a6309b,Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu,

@@ -13643,7 +16801,11 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 0fd3a7ee228bbc3dd4a111dae04952a1ee58a8cd,Hair style retrieval by semantic mapping on informative patches,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 0f0a5d8a7a087204026a6b67000887dbf5b6a20f,Generating objects going well with the surroundings,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 0f6d068ca799e99100fa5ff7503163fd1c9ae581,Common Subspace for Model and Similarity: Phrase Learning for Caption Generation from Images,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+0fd53d7e1ab8f42c710cb77b5ec4cc2b22158a4c,Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu,

 0fd53d7e1ab8f42c710cb77b5ec4cc2b22158a4c,Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu,

+0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,China,China,China,35.86166000,104.19539700,edu,

+0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,China,China,China,35.86166000,104.19539700,edu,

+0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,China,China,China,35.86166000,104.19539700,edu,

 0f4724cc069609a9544ca7d9a429b52cfe89c182,"PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model",Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

 0f42c64a74bc6e3e83821aa8ab5dd8e3a4b797cd,Controlled scanpath variation alters fusiform face activation.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 0fbdd4b8eb9e4c4cfbe5b76ab29ab8b0219fbdc0,Constrained Convolutional Neural Networks for Weakly Supervised Segmentation,"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,

@@ -13656,6 +16818,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 0fe96806c009e8d095205e8f954d41b2b9fd5dcf,On-the-Job Learning with Bayesian Decision Theory,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 0fba39bf12486c7684fd3d51322e3f0577d3e4e8,Task Specific Local Region Matching,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 0f92f0cf1fb1d37f7f723892976ca61419768995,Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu,

+0f92f0cf1fb1d37f7f723892976ca61419768995,Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments,China,China,China,35.86166000,104.19539700,edu,

 0fae5d9d2764a8d6ea691b9835d497dd680bbccd,Face Recognition using Canonical Correlation Analysis,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 0fae5d9d2764a8d6ea691b9835d497dd680bbccd,Face Recognition using Canonical Correlation Analysis,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

 0fa88943665de1176b0fc6de4ed7469b40cdb08c,Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

@@ -13663,14 +16826,19 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 0f8b4a64eea40c1f0aa655d4e77e46543ff558b7,Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

 0f8b4a64eea40c1f0aa655d4e77e46543ff558b7,Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu,

 0fb7d5e228b604ae6136328271fac3d18c25312e,INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

+0f07dcf92588945eb0d70893cdf0fe4a48552763,Detection- and Trajectory-Level Exclusion in Multiple Object Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 0fbe38527279f49561c0e1c6ff4e8f733fb79bbe,Integrating Utility into Face De-identification,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,

 0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a,Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu,

 0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

+0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 0f96eee0407b9ce9ea01629ed01bcf6802f97272,Attribute Learning for Understanding Unstructured Social Activity,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

 0fb3b63090f95af97723efe565893eb25ea9188c,Anticipating the future by watching unlabeled video,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9,A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 24f34a08ddb3f52de2ac705bdec0f027aa565921,Occlusion reasoning for object detection under arbitrary viewpoint,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 24475686f64825c6eb503e57636fc1fcda724407,Hough regions for joining instance localization and segmentation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+2465fc22e03faf030e5a319479a95ef1dfc46e14,Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 24662ce3f3499ec8c5ecc546dac69dbffad578c6,Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 24662ce3f3499ec8c5ecc546dac69dbffad578c6,Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 24816e5cc4d6df4a4f8247788d13eea2381594b4,"All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles",Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

@@ -13681,6 +16849,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 2453dd38cde21f3248b55d281405f11d58168fa9,Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 24ab0116bf4f56290aa8f8dd98524bb43fab6d85,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 24ab0116bf4f56290aa8f8dd98524bb43fab6d85,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

+24ab0116bf4f56290aa8f8dd98524bb43fab6d85,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 24c6240c511f4daa7cf51e28b0a9fb15e365d4cc,Can Ground Truth Label Propagation from Video Help Semantic Segmentation?,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 24b37016fee57057cf403fe2fc3dda78476a8262,Automatic Recognition of Eye Blinking in Spontaneously Occurring Behavior,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 24b37016fee57057cf403fe2fc3dda78476a8262,Automatic Recognition of Eye Blinking in Spontaneously Occurring Behavior,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

@@ -13695,30 +16864,46 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 24dbe0a133908500d25753542bbb720d71678c42,Multi-modal Person Localization And Emergency Detection Using The Kinect,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 24f1e2b7a48c2c88c9e44de27dc3eefd563f6d39,Recognition of Action Units in the Wild with Deep Nets and a New Global-Local Loss,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

 245057df7f66fe12e91ba242b275256235e9f831,Score calibration in face recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+245057df7f66fe12e91ba242b275256235e9f831,Score calibration in face recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 248291285074203eb9ee8e0b8b517ac4ce7dc4aa,The Way Dogs (Canis familiaris) Look at Human Emotional Faces Is Modulated by Oxytocin. An Eye-Tracking Study,University of Padova,University of Padova,"Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy",45.40811720,11.89437860,edu,"University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy"

 247a55385a11c070a9bdfce55ad4da6b8bb8d3c6,Towards Longer Long-Range Motion Trajectories,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu,

+244377600b1474e1da3b86a08683e629990d1417,Embedded Vision System for Atmospheric Turbulence Mitigation,India,India,India,20.59368400,78.96288000,edu,

 24fe0a4a2304da39b8ff5630ba9a64d505326d0e,Progressive Operational Perceptron with Memory,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

 24fe0a4a2304da39b8ff5630ba9a64d505326d0e,Progressive Operational Perceptron with Memory,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu,

+2485c98aa44131d1a2f7d1355b1e372f2bb148ad,The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2485c98aa44131d1a2f7d1355b1e372f2bb148ad,The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+2400543ba5a94e2723bc5296e9e5f2a280f0adbd,Face Recogition by Using Gabor Feature Extraction and Neural Networks,India,India,India,20.59368400,78.96288000,edu,

 247a14b584d8d83a9191149011de2908a8da605b,State of the Geotags: Motivations and Recent Changes,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,

 242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

-242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 24d45df91ebcfac7a49cdfb7116e971e12880612,UNICITY: A depth maps database for people detection in security airlocks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 245f8b05bdd1ac65a09a476440dc4b05ac05d4a0,An Online Learning Approach to Generative Adversarial Networks,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu,

+24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu,

+24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu,

+24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu,

 244c5f88186475bc3b051be8ebb6422e4b8de707,Video from nearly still: An application to low frame-rate gait recognition,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

+244a6d4f5f745f8c2a58a6a70d7ba2b91300c118,RADON Transform and PCA based 3 D Face Recognition using KNN and SVM,India,India,India,20.59368400,78.96288000,edu,

+244a6d4f5f745f8c2a58a6a70d7ba2b91300c118,RADON Transform and PCA based 3 D Face Recognition using KNN and SVM,India,India,India,20.59368400,78.96288000,edu,

+2475d216fd52994ac69ef922f4daf73e47f9535d,Joint Albedo Estimation and Pose Tracking from Video,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 24959d1a9c9faf29238163b6bcaf523e2b05a053,High Accuracy Head Pose Tracking Survey,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu,

 24d630946023cb421b9d960dd9983b4b5dcb800d,Efficient Detector Adaptation for Object Detection in a Video,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,

 241b86d3c71d14b8cc6044a425b047a0724cfdc9,Following Gaze in Video,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 24f9248f01df3020351347c2a3f632e01de72090,Reconstructing a fragmented face from a cryptographic identification protocol,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 246638128509f3d70477b7f439c6dbc77bc96abe,Monitoring dressing activity failures through RFID and video.,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 243e9d490fe98d139003bb8dc95683b366866c57,Distinctive Parts for Relative attributes,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu,

+243e9d490fe98d139003bb8dc95683b366866c57,Distinctive Parts for Relative attributes,India,India,India,20.59368400,78.96288000,edu,

 24fc311970e097efc317c0f98d2df37b828bfbad,Semi-supervised hierarchical semantic object parsing,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu,

 244ed43a3b86d80f8bfd0ce852b3c2fcfb2d91cb,Fuzzy Moments Method for Face Recognition in an Ethnic Database,Semnan University,Semnan University,"دانشگاه سمنان, بزرگراه امام رضا, شهرک مسکن مهر مصلی, ناسار, سمنان, بخش مرکزی, شهرستان سمنان, استان سمنان, ‏ایران‎",35.60374440,53.43445877,edu,

 240eb0b34872c431ecf9df504671281f59e7da37,Cutout-search: Putting a name to the picture,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,

 240eb0b34872c431ecf9df504671281f59e7da37,Cutout-search: Putting a name to the picture,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,China,China,China,35.86166000,104.19539700,edu,

+24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,China,China,China,35.86166000,104.19539700,edu,

 24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 24cb375a998f4af278998f8dee1d33603057e525,Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 24cb375a998f4af278998f8dee1d33603057e525,Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 24bb79815967f5d1a333d32d25830542646babce,Cross-media Multi-level Alignment with Relation Attention Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

@@ -13729,6 +16914,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 2401cd5606c6bc5390acc352d00c1685f0c8af60,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 24be26a04906987e7958c1544834bf9f18a92571,Referring Image Segmentation via Recurrent Refinement Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 241416b1249d2b71b373f8dcf054110d579a2148,Biometric face recognition using multilinear projection and artificial intelligence,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu,

+2484a34597a40d846c084e827fda299fd0927008,Image Matching Algorithm based on Feature-point and DAISY Descriptor,China,China,China,35.86166000,104.19539700,edu,

 5e32d8aec25fc9437889c82c10abaa413a6ac928,A Philosophy for Developing Trust in Self ‐ Driving Cars,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,

 5e32d8aec25fc9437889c82c10abaa413a6ac928,A Philosophy for Developing Trust in Self ‐ Driving Cars,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,

 5ee96d5c4d467d00909472e3bc0d2c2d82ccb961,Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

@@ -13742,6 +16928,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 5e84fd5c73dfeea9d51e1cf59ea6f8ecf2097603,Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 5e84fd5c73dfeea9d51e1cf59ea6f8ecf2097603,Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 5ec2567c3bd8ff0d89d13d05e7fe298651f2e555,On Combining Classifiers for Assessing Portrait Image Compliance with ICAO/ISO Standards,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

+5e0df06d92176f362d52962de866e2d825185afb,Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking,"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","7 Avenue du Colonel Roche, 31400 Toulouse, France",43.56334270,1.47686950,edu,

 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu,

 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -13749,12 +16936,19 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu,

 5e59193a0fc22a0c37301fb05b198dd96df94266,Example-Based Modeling of Facial Texture from Deficient Data,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 5eec4db50ad8237d881562d036c275d87dd14683,End-to-End Deep Kronecker-Product Matching for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu,

+5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu,

 5ea62e97113c243ebaece2fbb975471c8649aa62,Discriminative Robust Transformation Learning,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 5e8677eb21c3a5d24c52bcb93404416f7eeebc31,Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu,

+5e5e11e143140cc376db466d5b096a54b900c2ba,Face Recognition in Uncontrolled Environment,India,India,India,20.59368400,78.96288000,edu,

+5ebd9457a3a09889fad8cc86a91b274da5986636,oASIS: Adaptive Column Sampling for Kernel Matrix Approximation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 5e16f10f2d667d17c029622b9278b6b0a206d394,Learning to Rank Binary Codes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 5e16f10f2d667d17c029622b9278b6b0a206d394,Learning to Rank Binary Codes,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 5e16f10f2d667d17c029622b9278b6b0a206d394,Learning to Rank Binary Codes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

@@ -13765,6 +16959,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 5e3c8cd50301a13ad53a3fc9e3567ede63a76215,Learning to Cluster for Proposal-Free Instance Segmentation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 5e3c8cd50301a13ad53a3fc9e3567ede63a76215,Learning to Cluster for Proposal-Free Instance Segmentation,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 5ece646d13786df1d84ff8eb2bfbc736dd337378,Leveraging Unlabeled Data for Crowd Counting by Learning to Rank,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

+5e2b918f2dee17cb79d692e10aa2103ca9129e2c,Rotating your face using multi-task deep neural network,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 5e48958c1c9ab9ccb5c9e1a62b81532700d38d83,ArtGAN: Artwork synthesis with conditional categorical GANs,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

 5e9f81f93413a82bf3bd9e77b44b1ca6006f5830,Pedestrian Detection in RGB-D Images from an Elevated Viewpoint,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 5e706ba3d5c7237a580716aacda350b867c85e5f,Predicting Useful Neighborhoods for Lazy Local Learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

@@ -13779,9 +16974,12 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 5ec7e6b9cf06ab90cca7bda8e7a4b54ecb6859ac,CoDeL: A Human Co-detection and Labeling Framework,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 5e09a85527a2c471ce35b21a3b22ae1620c80176,Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 5ea51401eea9a50a16bd17471bfd559d2d989760,Robust Face Alignment Based on Hierarchical Classifier Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+5ea51401eea9a50a16bd17471bfd559d2d989760,Robust Face Alignment Based on Hierarchical Classifier Network,China,China,China,35.86166000,104.19539700,edu,

 5e82282dd5db84772f01cdfb3739ed786b9f2238,MyPlaces: detecting important settings in a visual diary,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 5ed63317cdef429f77499d9de0e58402ed1f687e,From Photo Streams to Evolving Situations,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,China,China,China,35.86166000,104.19539700,edu,

+5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,China,China,China,35.86166000,104.19539700,edu,

 5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 5e74d92d841d1bc1c9c2d80219f98bf892f239c4,Developmental changes in face visual scanning in autism spectrum disorder as assessed by data-based analysis,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 5e55d9dabe06ee6b4d4b31dfd3723f6016a6c937,Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu,

@@ -13791,19 +16989,27 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 6cc46899b415ebef4a70068b2cbd8a50e955aeb6,Where to put the Image in an Image Caption Generator,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu,

 6c7a36efbe07ab295ddebc60c834cf74ec30ba50,Group Consistent Similarity Learning via Deep CRF for Person Re-Identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 6c7a36efbe07ab295ddebc60c834cf74ec30ba50,Group Consistent Similarity Learning via Deep CRF for Person Re-Identification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu,

+6c26743e131a67b25738beffcee05da6af5d87d9,First Person Action Recognition Using Deep Learned Descriptors,"IIIT Hyderabad, India","IIIT Hyderabad, India","DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India",17.44523580,78.34927650,edu,

 6c26743e131a67b25738beffcee05da6af5d87d9,First Person Action Recognition Using Deep Learned Descriptors,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

 6c6bb85a08b0bdc50cf8f98408d790ccdb418798,Recognition of facial expressions in presence of partial occlusion,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 6c388fc4503636245fd464a05a9f843b303ad79a,Cross camera people counting with perspective estimation and occlusion handling,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu,

 6c388fc4503636245fd464a05a9f843b303ad79a,Cross camera people counting with perspective estimation and occlusion handling,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 6c61e496afd6577aa330b1f48ad0cec1d35b32d0,Deep Interactive Evolution,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 6c61e496afd6577aa330b1f48ad0cec1d35b32d0,Deep Interactive Evolution,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+6c61e496afd6577aa330b1f48ad0cec1d35b32d0,Deep Interactive Evolution,China,China,China,35.86166000,104.19539700,edu,

 6ce111fdfb7ebc8f1fe23ceaf859f7be799d5c91,Activity understanding and unusual event detection in surveillance videos,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu,

+6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu,

 6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu,

-6c3b2fd0cb23ddb6ed707d6c9986a78d6b76bf43,Primal-Dual Group Convolutions for Deep Neural Networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu,

+6c3b2fd0cb23ddb6ed707d6c9986a78d6b76bf43,Primal-Dual Group Convolutions for Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 6c3b2fd0cb23ddb6ed707d6c9986a78d6b76bf43,Primal-Dual Group Convolutions for Deep Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 6caa275cc502513550bde0a32416a3b32470161b,Sparse shape modelling for 3D face analysis,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+6c70cad229cf3f02d3d490b42c7bd92c6eade1d1,Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 6c70cad229cf3f02d3d490b42c7bd92c6eade1d1,Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu,

 6cfec3c50622f3e5c80b3cc98744a05225f42066,3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+6cfec3c50622f3e5c80b3cc98744a05225f42066,3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

+6cfec3c50622f3e5c80b3cc98744a05225f42066,3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 6c06ad0b4b7c981089b5a8037d5b9f9e5b928196,Image retrieval with structured object queries using latent ranking SVM,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 6c06ad0b4b7c981089b5a8037d5b9f9e5b928196,Image retrieval with structured object queries using latent ranking SVM,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 6cf5d7c14c5df98d19f7c457daabcafd3de308bf,1 A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

@@ -13819,6 +17025,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 6c5fbf156ef9fc782be0089309074cc52617b868,Controllable Video Generation with Sparse Trajectories,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 6c182ec9bd85cf61b01c90955c81d71926b0198a,A Deeply-Recursive Convolutional Network For Crowd Counting,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

 6c182ec9bd85cf61b01c90955c81d71926b0198a,A Deeply-Recursive Convolutional Network For Crowd Counting,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu,

+6cacda04a541d251e8221d70ac61fda88fb61a70,One-shot Face Recognition by Promoting Underrepresented Classes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+6cd497a9a66daa2d0c867dc07412d958791f3499,Speeding Up Permutation Based Indexing with Indexing,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c,Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 6c690af9701f35cd3c2f6c8d160b8891ad85822a,Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 6c690af9701f35cd3c2f6c8d160b8891ad85822a,Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

@@ -13830,6 +17038,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 6c387ca410870cf7fae649f63b00e0db83cd5e1f,Region-Based Quality Estimation Network for Large-Scale Person Re-Identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 6c387ca410870cf7fae649f63b00e0db83cd5e1f,Region-Based Quality Estimation Network for Large-Scale Person Re-Identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 6ca2c5ff41e91c34696f84291a458d1312d15bf2,LipNet: Sentence-level Lipreading,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+6c62330cbd60f2cb6cb80b920104d0df3116cb3f,Robust People Tracking Using A Light Coding Depth Sensor,China,China,China,35.86166000,104.19539700,edu,

+6c62330cbd60f2cb6cb80b920104d0df3116cb3f,Robust People Tracking Using A Light Coding Depth Sensor,China,China,China,35.86166000,104.19539700,edu,

 6ca3fff996c62abd07bd13f36a9d552e91d8ba5b,ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks,Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu,

 6ce1a8240b0eba18c40136370e143209dec4a5a7,Predicting Future Instance Segmentation by Forecasting Convolutional Features,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 6c78add400f749c897dc3eb93996eda1c796e91c,Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu,

@@ -13843,7 +17053,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

 059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

-059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 050a3346e44ca720a54afbf57d56b1ee45ffbe49,Multi-cue Zero-Shot Learning with Strong Supervision,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 0573f3d2754df3a717368a6cbcd940e105d67f0b,Emotion recognition in the wild challenge 2016,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 0573f3d2754df3a717368a6cbcd940e105d67f0b,Emotion recognition in the wild challenge 2016,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

@@ -13853,6 +17063,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 05891725f5b27332836cf058f04f18d74053803f,One-shot Action Localization by Learning Sequence Matching Network,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 05a0d04693b2a51a8131d195c68ad9f5818b2ce1,Dual-Reference Face Retrieval,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu,

 05a0d04693b2a51a8131d195c68ad9f5818b2ce1,Dual-Reference Face Retrieval,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

+05a0d04693b2a51a8131d195c68ad9f5818b2ce1,Dual-Reference Face Retrieval,China,China,China,35.86166000,104.19539700,edu,

 0574dc64c8275b09ed587dc3977f4d3c990bd4df,Context-Aware Visual Policy Network for Sequence-Level Image Captioning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 0595d18e8d8c9fb7689f636341d8a55cc15b3e6a,Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 0595d18e8d8c9fb7689f636341d8a55cc15b3e6a,Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -13867,8 +17078,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 051000dd99635b74862b4b33f6dd84aca34f7471,An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS ),University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 05b6c32304dd1673c14f1e1efce4e4d5c4402275,What are the Visual Features Underlying Rapid Object Recognition?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 05b6c32304dd1673c14f1e1efce4e4d5c4402275,What are the Visual Features Underlying Rapid Object Recognition?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

-05812833afba3b2a5a4b54853b0a1ed1cc8932d1,Fast planar object detection and tracking via edgel templates,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

-05014b04223562c7c7485a1277552564d0ddc6de,Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN),"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+05812833afba3b2a5a4b54853b0a1ed1cc8932d1,Fast planar object detection and tracking via edgel templates,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

+05014b04223562c7c7485a1277552564d0ddc6de,Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN),UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 05818eddd8a35fed7f3041d591ef966f8e79bd9a,Web scale photo hash clustering on a single machine,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA"

 05bd6c2bc5dc6d65c48c6366788441bcfdd9db3a,Personalizing Smart Environments: Face Recognition for Human Interaction,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 0515e43c92e4e52254a14660718a9e498bd61cf5,MACHINE LEARNING SYSTEMS FOR DETECTING DRIVER DROWSINESS,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu,

@@ -13879,42 +17090,60 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 053b263b4a4ccc6f9097ad28ebf39c2957254dfb,Cost-Effective HITs for Relative Similarity Comparisons,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 053b263b4a4ccc6f9097ad28ebf39c2957254dfb,Cost-Effective HITs for Relative Similarity Comparisons,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 0549dc0290fe988ede74c4e030ae485c13eaa54a,Development of Vision Based Multiview Gait Recognition System with MMUGait Database,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

+053ff27aba868c64823dbbe2167a762dd3f33b53,Probabilistic Slow Features for Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+053ff27aba868c64823dbbe2167a762dd3f33b53,Probabilistic Slow Features for Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 056d5d942084428e97c374bb188efc386791e36d,Temporally Robust Global Motion Compensation by Keypoint-based Congealing,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 05fa794c2d13190bef03bf33fb9ebbb612f514c0,POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 055de0519da7fdf27add848e691087e0af166637,Joint Unsupervised Face Alignment and Behaviour Analysis,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,

 05bb9a8877a82a474db3a0ee65772028a715e8cd,Learning mid-level features from object hierarchy for image classification,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 05bb9a8877a82a474db3a0ee65772028a715e8cd,Learning mid-level features from object hierarchy for image classification,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

-054756fa720bdcf1d320ad7a353e54ca53d4d3af,Semantic part segmentation using compositional model combining shape and appearance,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+054756fa720bdcf1d320ad7a353e54ca53d4d3af,Semantic part segmentation using compositional model combining shape and appearance,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu,

 05b0383b4cfe007bbad92e72ee361f95e7e9a458,Fast Matching of Binary Features,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

+05469df372a567dcef62b7ba447685fd5a5efb80,DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+05469df372a567dcef62b7ba447685fd5a5efb80,DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 05904c87cb1d0b1f17fcb018fa0344c020694f36,Modulation of the composite face effect by unintended emotion cues,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu,

 0535101387033bf0b5ddf662a8c4d98caa1adc52,Fast Neighborhood Graph Search Using Cartesian Concatenation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

-0535101387033bf0b5ddf662a8c4d98caa1adc52,Fast Neighborhood Graph Search Using Cartesian Concatenation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+0535101387033bf0b5ddf662a8c4d98caa1adc52,Fast Neighborhood Graph Search Using Cartesian Concatenation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 05bcc5235721fd6a465a63774d28720bacc60858,Gradient Boundary Histograms for Action Recognition,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

+05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,India,India,India,20.59368400,78.96288000,edu,

 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 05e3acc8afabc86109d8da4594f3c059cf5d561f,Actor-Action Semantic Segmentation with Grouping Process Models,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 05fa7085663bbbd1057c0d240158091930c59c6a,MovieQA: Understanding Stories in Movies through Question-Answering,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 053931267af79a89791479b18d1b9cde3edcb415,Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 05e45f61dc7577c50114a382abc6e952ae24cdac,"Object Detection and Recognition in Natural Settings by George William Dittmar A thesis submitted in partial fulfilment of the requirements of the degree Master of Science in Computer Science Thesis Committee: Melanie Mitchell, Chair",Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu,

 05318a267226f6d855d83e9338eaa9e718b2a8dd,Age estimation from face images: challenging problem for audience measurement systems,Yaroslavl State University,Yaroslavl State University,"ЯрГУ им. Демидова (Экономический факультет), 3, Комсомольская улица, Кировский район, Ярославль, городской округ Ярославль, Ярославская область, ЦФО, 150000, РФ",57.62521030,39.88456560,edu,

-053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

-053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+05318a267226f6d855d83e9338eaa9e718b2a8dd,Age estimation from face images: challenging problem for audience measurement systems,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

+053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 052f994898c79529955917f3dfc5181586282cf8,Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 05d80c59c6fcc4652cfc38ed63d4c13e2211d944,On sampling-based approximate spectral decomposition,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

 058d50af5456665dccda2b41b17bdfead72bdec8,Learning Non-Metric Visual Similarity for Image Retrieval,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu,

 058d50af5456665dccda2b41b17bdfead72bdec8,Learning Non-Metric Visual Similarity for Image Retrieval,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu,

+0569d7d3d8f96140adc8ec5a6016fdc97e7ef8aa,Random tree walk toward instantaneous 3D human pose estimation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+05a6a40c840c069631a825509f3095697592e1c4,IAN: The Individual Aggregation Network for Person Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+05a6a40c840c069631a825509f3095697592e1c4,IAN: The Individual Aggregation Network for Person Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0593bd23851b9f545ff7218887c09f4c62b7aaad,Detectability prediction in dynamic scenes for enhanced environment perception,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 055530f7f771bb1d5f352e2758d1242408d34e4d,A Facial Expression Recognition System from Depth Video,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu,

 052651838d27835f39270101e140055e60a59d68,Enhancing Exemplar SVMs using Part Level Transfer Regularization,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu,

+057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu,

+057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,India,India,India,20.59368400,78.96288000,edu,

+057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu,

 05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2,Robot-centric Activity Recognition from First-Person RGB-D Videos,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

+05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2,Robot-centric Activity Recognition from First-Person RGB-D Videos,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2,Robot-centric Activity Recognition from First-Person RGB-D Videos,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

 051bc84485f0d9be02003e27e0ca67e9a06f2e4d,Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+051bc84485f0d9be02003e27e0ca67e9a06f2e4d,Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model,China,China,China,35.86166000,104.19539700,edu,

 05f3f8f6f97db00bafa2efd2ac9aac570603c0c6,TGIF: A New Dataset and Benchmark on Animated GIF Description,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 05f3f8f6f97db00bafa2efd2ac9aac570603c0c6,TGIF: A New Dataset and Benchmark on Animated GIF Description,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 0568497f77d21122a6991e3d7147d5205451873a,Optimal feature selection for 3 D facial expression recognition using coarse-to-fine classification,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu,

@@ -13923,8 +17152,10 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo
 05455f5e3c3989be4991cb74b73cdfd0d6522622,Learning Warped Guidance for Blind Face Restoration,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 05455f5e3c3989be4991cb74b73cdfd0d6522622,Learning Warped Guidance for Blind Face Restoration,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 053f9b10532a87e346fad281e0be81337cb525a5,Session variability modelling for face authentication,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+053f9b10532a87e346fad281e0be81337cb525a5,Session variability modelling for face authentication,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

 05b603d7c6004de3c028e40b4434804f752290b9,Combining Skeletal Pose with Local Motion for Human Activity Recognition,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu,

 057d5f66a873ec80f8ae2603f937b671030035e6,Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+053c2f592a7f153e5f3746aa5ab58b62f2cf1d21,PERFORMANCE EVALUATION OF ILLUMINATION NORMALIZATION TECHNIQUES FOR FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu,

 05fdd29536d55fe3ad00689b6f60ada8bc761e91,HOGgles: Visualizing Object Detection Features,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 059dc8bbf912caed67f287ad8811d3fb41fa2eba,Exemplar-based linear discriminant analysis for robust object tracking,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 050eda213ce29da7212db4e85f948b812a215660,Combining Models and Exemplars for Face Recognition : An Illuminating Example,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

@@ -13960,21 +17191,29 @@ edde81b2bdd61bd757b71a7b3839b6fef81f4be4,Part Localization using Multi-Proposal
 ed2f711cf9bcd9d7ab039d746af109ed9573421a,Pixel-Wise Classification Method for High Resolution Remote Sensing Imagery Using Deep Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 ed2f711cf9bcd9d7ab039d746af109ed9573421a,Pixel-Wise Classification Method for High Resolution Remote Sensing Imagery Using Deep Neural Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,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,

 edf01e1c84e2f80500fd74da69f428617f2a1665,Gender recognition from faces using bandlet and local binary patterns,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu,

 edb5813a32ce1167feb263ca2803d0ae934d902c,Invisible Steganography via Generative Adversarial Networks,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+edf98a925bb24e39a6e6094b0db839e780a77b08,Simplex Representation for Subspace Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 edf98a925bb24e39a6e6094b0db839e780a77b08,Simplex Representation for Subspace Clustering,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

+edf98a925bb24e39a6e6094b0db839e780a77b08,Simplex Representation for Subspace Clustering,China,China,China,35.86166000,104.19539700,edu,

 ed96f2eb1771f384df2349879970065a87975ca7,Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 ed96f2eb1771f384df2349879970065a87975ca7,Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 ed9d11e995baeec17c5d2847ec1a8d5449254525,Efficient Gender Classification Using a Deep LDA-Pruned Net,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 ed173a39f4cd980eef319116b6ba39cec1b37c42,Associative Embedding: End-to-End Learning for Joint Detection and Grouping,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 ed173a39f4cd980eef319116b6ba39cec1b37c42,Associative Embedding: End-to-End Learning for Joint Detection and Grouping,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 ed173a39f4cd980eef319116b6ba39cec1b37c42,Associative Embedding: End-to-End Learning for Joint Detection and Grouping,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+edd28097745ade85c3acd1d8bcba0b17cccb682e,Title Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models Permalink,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 ed0cf5f577f5030ac68ab62fee1cf065349484cc,Revisiting data normalization for appearance-based gaze estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 ed0cf5f577f5030ac68ab62fee1cf065349484cc,Revisiting data normalization for appearance-based gaze estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 eddc4989cdb20c8cdfb22e989bdb2cb9031d0439,Binge Watching: Scaling Affordance Learning from Sitcoms,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,

+de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,India,India,India,20.59368400,78.96288000,edu,

+de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,India,India,India,20.59368400,78.96288000,edu,

+de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,India,India,India,20.59368400,78.96288000,edu,

 deae19c928571d3c1101660b0d643d7a7ee893b2,Improved Human Parsing with a Full Relational Model,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 de0cfd94d16468cdaaa0fe725e214930587ed8ce,Scalable Person Re-identification on Supervised Smoothed Manifold,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

 de2e8127105a37ff1f59be13a010ab0d3f4fa650,ANALYZING HANDS WITH FIRST-PERSON COMPUTER VISION,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

@@ -13982,12 +17221,15 @@ de0c4459c46c5efbad02cd9a1f4687a12883c5d7,Asmar Hasanova Pedestrian Detection and
 ded2eaddaf214e63aae6be34f4f319df0a10c13e,Gender Classification of Consumer Face Images using Gabor Filters,University of Gujrat,University of Gujrat,"University of Gujrat, University Road, Chandhar, Gujrāt District, پنجاب, 50700, ‏پاکستان‎",32.63744845,74.16174558,edu,

 deb78e302c2efdac51b742f4d3e8041b5838e533,Learning to Evaluate Image Captioning,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 defbca385b48173d3dbd7bb8b8fbd35ba06239c3,Motion-Appearance Co-Memory Networks for Video Question Answering,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,

+de398bd8b7b57a3362c0c677ba8bf9f1d8ade583,Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dec0c26855da90876c405e9fd42830c3051c2f5f,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

 dec0c26855da90876c405e9fd42830c3051c2f5f,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu,

+dec0c26855da90876c405e9fd42830c3051c2f5f,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 de3285da34df0262a4548574c2383c51387a24bf,Two-Stream Convolutional Networks for Dynamic Texture Synthesis,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 de8a01d36df1c3a881523c3748fcfa988710fa15,Physical adversarial examples for semantic image segmentation,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu,

 de85e5abc5d97092d879c48eef3d2d2b0c45eb9d,Acta Polytechnica CTU Proceedings,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu,

 def2983576001bac7d6461d78451159800938112,The Do’s and Don’ts for CNN-Based Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+de95fa1dd69a2d0d2b76539357062062f8b1e7b8,Face to Age,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 def569db592ed1715ae509644444c3feda06a536,Discovery and usage of joint attention in images,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 def569db592ed1715ae509644444c3feda06a536,Discovery and usage of joint attention in images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 def569db592ed1715ae509644444c3feda06a536,Discovery and usage of joint attention in images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -14001,7 +17243,11 @@ de725093e13cdc90209d981bea69730c7f6ee03d,A sparse coding based transfer learning
 de725093e13cdc90209d981bea69730c7f6ee03d,A sparse coding based transfer learning framework for pedestrian detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu,

+dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu,

+dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu,

 dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu,

 de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

 de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China"

@@ -14015,14 +17261,17 @@ decc4de8b6964ba473744741c3a46ac37f2d6e3e,A Pose Invariant 3 D Face Recognition M
 de92ac27693598254554531d8cadfd4728c423a1,Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 de92ac27693598254554531d8cadfd4728c423a1,Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 66e9fb4c2860eb4a15f713096020962553696e12,A New Urban Objects Detection Framework Using Weakly Annotated Sets,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu,

 669ddd0b5f742876fe84cfb3dd7ff30bcaab52be,Learning image similarities via Probabilistic Feature Matching,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 6604fd47f92ce66dd0c669dd66b347b80e17ebc9,Simultaneous Cascaded Regression,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu,

+66810438bfb52367e3f6f62c24f5bc127cf92e56,Face Recognition of Illumination Tolerance in 2 D Subspace Based on the Optimum Correlation Filter,China,China,China,35.86166000,104.19539700,edu,

 666300af8ffb8c903223f32f1fcc5c4674e2430b,Changing Fashion Cultures,Tokyo Denki University,Tokyo Denki University,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu,

 661e215ff688a6bbce73a76e71719416e47e193a,Comparison of Super-Resolution Benefits for Downsampled Images and Real Low-Resolution Data,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 66a4a03ea58792e4be90b20c60ddc65de736537e,Learning auxiliary dictionaries for undersampled face recognition,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu,

 66986f4359c3507d671bad021d6fb2d6fa6aa2c0,Appearance sharing for collective human pose estimation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

-666939690c564641b864eed0d60a410b31e49f80,What Visual Attributes Characterize an Object Class?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company,

+666939690c564641b864eed0d60a410b31e49f80,What Visual Attributes Characterize an Object Class?,China,China,China,35.86166000,104.19539700,edu,

+666939690c564641b864eed0d60a410b31e49f80,What Visual Attributes Characterize an Object Class?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 66652367a369d18e1845dd14220dc94a9748c9fd,Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 66652367a369d18e1845dd14220dc94a9748c9fd,Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 66652367a369d18e1845dd14220dc94a9748c9fd,Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

@@ -14032,12 +17281,15 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 66330846a03dcc10f36b6db9adf3b4d32e7a3127,Polylingual Multimodal Learning,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 668d39ceb83d06c61ab58cb689a1b744ff520669,Fast Video Classification via Adaptive Cascading of Deep Models,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 663981cfc5fc843ec2682b77ae427ac351bc2180,Detecting Repeating Objects Using Patch Correlation Analysis,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu,

+661c16658db873efeee3621603fe6bd53eaffac1,LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 66cd8e7338b20999786343651658520ca9544006,Pedestrian detection aided by deep learning semantic tasks,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 66cc90ea586c914e6a3b50fe703f4379d530fad7,Automatic integration of social information in emotion recognition.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu,

 66c84abd01fdd84d9cd241dea8e487580f4f8922,Bridging Languages through Images with Deep Partial Canonical Correlation Analysis,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 66c84abd01fdd84d9cd241dea8e487580f4f8922,Bridging Languages through Images with Deep Partial Canonical Correlation Analysis,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 669b9fd79eb39f712527ee616e35e50eea7fd2fa,Human Pose Estimation Using Body Parts Dependent Joint Regressors,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+669b9fd79eb39f712527ee616e35e50eea7fd2fa,Human Pose Estimation Using Body Parts Dependent Joint Regressors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 6691dfa1a83a04fdc0177d8d70e3df79f606b10f,Illumination Modeling and Normalization for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+6691dfa1a83a04fdc0177d8d70e3df79f606b10f,Illumination Modeling and Normalization for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 6681ec516067747a4576f737f10f8d9bbca2d8d1,Perturbative Neural Networks ( Supplementary Material ),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,

 6681ec516067747a4576f737f10f8d9bbca2d8d1,Perturbative Neural Networks ( Supplementary Material ),Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 6681ec516067747a4576f737f10f8d9bbca2d8d1,Perturbative Neural Networks ( Supplementary Material ),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,

@@ -14045,7 +17297,10 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5,"Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment",Muhlenberg College,Muhlenberg College,"Muhlenberg College, 2400, West Chew Street, Rose Garden, Allentown, Lehigh County, Pennsylvania, 18104, USA",40.59676370,-75.51240620,edu,

 66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5,"Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment",Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

 66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5,"Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment",Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu,

+66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450,A Linear Approximation to the chi^2 Kernel with Geometric Convergence,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+661da40b838806a7effcb42d63a9624fcd684976,An Illumination Invariant Accurate Face Recognition with Down Scaling of DCT Coefficients,India,India,India,20.59368400,78.96288000,edu,

 66ef0364f2e865c35ce5003e129ba6fc57a2afa4,Semantic segmentation using multiple graphs with block-diagonal constraints,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+66719918aa6562d14ea53286bf248d6f1a7d6b14,Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks,China,China,China,35.86166000,104.19539700,edu,

 66fb1e7a65abbfa171a3fd92dc67006490df7450,Design of Continuous Authentication using Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 666aa18ed45a0a92959d91d0f9a4c928aceb1450,Material : Modelling and unsupervised learning of symmetric deformable object categories,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 666aa18ed45a0a92959d91d0f9a4c928aceb1450,Material : Modelling and unsupervised learning of symmetric deformable object categories,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

@@ -14079,6 +17334,7 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 1ab56eb6128da34027242b1314e51b9b18b960db,Object Detection by 3D Aspectlets and Occlusion Reasoning,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 1ab56eb6128da34027242b1314e51b9b18b960db,Object Detection by 3D Aspectlets and Occlusion Reasoning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 1af52c853ff1d0ddb8265727c1d70d81b4f9b3a9,International Journal of Advanced Robotic Systems Face Recognition Under Illumination Variation Using Shadow Compensation and Pixel Selection Regular Paper,Dankook University,Dankook University,"단국대학교 치과병원, 죽전로, 죽전동, 수지구, 용인시, 경기, 16900, 대한민국",37.32195750,127.12507230,edu,

+1a86568fdba2b85a9f0b69d563dd22aa5a8d3562,Perceptual Fidelity Aware Mean Squared Error,China,China,China,35.86166000,104.19539700,edu,

 1a86568fdba2b85a9f0b69d563dd22aa5a8d3562,Perceptual Fidelity Aware Mean Squared Error,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 1a86568fdba2b85a9f0b69d563dd22aa5a8d3562,Perceptual Fidelity Aware Mean Squared Error,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 1aad2da473888cb7ebc1bfaa15bfa0f1502ce005,First-Person Activity Recognition: What Are They Doing to Me?,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -14090,6 +17346,8 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 1a5a79b4937b89420049bc279a7b7f765d143881,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 1a5a79b4937b89420049bc279a7b7f765d143881,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 1a5a79b4937b89420049bc279a7b7f765d143881,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,Virginia Commonwealth University,Virginia Commonwealth University,"Virginia Commonwealth University, The Compass, Oregon Hill, Richmond, Richmond City, Virginia, 23284, USA",37.54821500,-77.45306424,edu,

+1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study",Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu,

 1a4b6ee6cd846ef5e3030a6ae59f026e5f50eda6,Deep Learning for Video Classification and Captioning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 1a40092b493c6b8840257ab7f96051d1a4dbfeb2,Sports Videos in the Wild (SVW): A video dataset for sports analysis,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -14101,43 +17359,63 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 1a2e9a56e5f71bf95a2f68b6e67e2aaa1c6bf91e,FPM: Fine Pose Parts-Based Model with 3D CAD Models,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 1ac85387b1d5a05f752ddf671763f02e923a2a03,Deep Learning with Sets and Point Clouds,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,

 1a229f1d21abe442520cba31a6e08663b3d31777,The heterogeneous block architecture,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,

+1a229f1d21abe442520cba31a6e08663b3d31777,The heterogeneous block architecture,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 1a1f63cbd8465d1bbee9bca24124b52ea4ec2762,Multilinear Multitask Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 1a1f63cbd8465d1bbee9bca24124b52ea4ec2762,Multilinear Multitask Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

 1a1f63cbd8465d1bbee9bca24124b52ea4ec2762,Multilinear Multitask Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu,

+1a790c7669943af5868e49d15cf282cbbd506f02,An Overview of Recent Progress in Volumetric Semantic 3 D Reconstruction ( Invited Paper ),University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu,

 1a790c7669943af5868e49d15cf282cbbd506f02,An Overview of Recent Progress in Volumetric Semantic 3 D Reconstruction ( Invited Paper ),ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

+1a790c7669943af5868e49d15cf282cbbd506f02,An Overview of Recent Progress in Volumetric Semantic 3 D Reconstruction ( Invited Paper ),Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu,

 1a65cc5b2abde1754b8c9b1d932a68519bcb1ada,Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

-1a65cc5b2abde1754b8c9b1d932a68519bcb1ada,Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+1a65cc5b2abde1754b8c9b1d932a68519bcb1ada,Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 1a07d9213a6082d69f40bb5373da60ba0d19f2d6,Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

+1ae19084d2cd53c70d7e44d419df32560e417fb9,The Canadian experience using the expanded criteria donor classification for allocating deceased donor kidneys for transplantation,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 1a29f8e4e0578a799b013bb0a9043b0ed693a32d,On the location dependence of convolutional neural network features,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 1a964f13abb3cdc5675dbfd612fa0409608e28c7,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 1a964f13abb3cdc5675dbfd612fa0409608e28c7,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 1a398504e8822e4d079167be9684096fe862c0d5,Handling Data Imbalance in Automatic Facial Action Intensity Estimation,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu,

+1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+1a41e5d93f1ef5b23b95b7163f5f9aedbe661394,Alignment-Free and High-Frequency Compensation in Face Hallucination,China,China,China,35.86166000,104.19539700,edu,

 1a41e5d93f1ef5b23b95b7163f5f9aedbe661394,Alignment-Free and High-Frequency Compensation in Face Hallucination,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu,

-1a39ce3f624844a1288b6deff545f6c4d79c4fae,DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

+1a39ce3f624844a1288b6deff545f6c4d79c4fae,DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu,

 1a2b3fa1b933042687eb3d27ea0a3fcb67b66b43,Max-margin Latent Dirichlet Allocation for Image Classification and Annotation,Fraser University,Fraser University,"Fraser, 3333, University Avenue Southeast, Prospect Park - East River Road, Minneapolis, Hennepin County, Minnesota, 55414, USA",44.96898360,-93.20941629,edu,

 1ac2882559a4ff552a1a9956ebeadb035cb6df5b,How much training data for facial action unit detection?,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 1ac2882559a4ff552a1a9956ebeadb035cb6df5b,How much training data for facial action unit detection?,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 1a6c9ef99bf0ab9835a91fe5f1760d98a0606243,ConceptMap: Mining Noisy Web Data for Concept Learning,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

+1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f,Implementation of Partial Face Recognition using Directional Binary Code,India,India,India,20.59368400,78.96288000,edu,

 1a46d3a9bc1e4aff0ccac6403b49a13c8a89fc1d,Online robust image alignment via iterative convex optimization,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu,

+1a46d3a9bc1e4aff0ccac6403b49a13c8a89fc1d,Online robust image alignment via iterative convex optimization,China,China,China,35.86166000,104.19539700,edu,

 1a46d3a9bc1e4aff0ccac6403b49a13c8a89fc1d,Online robust image alignment via iterative convex optimization,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu,

 1af8b9efe40cb85fd48fb466545141a5e102796b,Performance assessment of morphological dynamic link architecture under optimal and real operating conditions,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 1aef6f7d2e3565f29125a4871cd60c4d86c48361,Natural Language Video Description using Deep Recurrent Neural Networks,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu,

 1ae3dd081b93c46cda4d72100d8b1d59eb585157,Online Motion Agreement Tracking,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 1a257ff73b1dd95f905dbbce9bb233033d09e959,A New Gabor Phase Difference Pattern for Face and Ear Recognition,University of Oulu,University 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,

+1a257ff73b1dd95f905dbbce9bb233033d09e959,A New Gabor Phase Difference Pattern for Face and Ear Recognition,China,China,China,35.86166000,104.19539700,edu,

 1afdedba774f6689eb07e048056f7844c9083be9,Markov Random Field Structures for Facial Action Unit Intensity Estimation,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,

 1afdedba774f6689eb07e048056f7844c9083be9,Markov Random Field Structures 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,

+1a45ddaf43bcd49d261abb4a27977a952b5fff12,LDOP: Local Directional Order Pattern for Robust Face Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 1a660d8576ed749610e0e040076d27973aee44ee,Tracking by Identification Using Computer Vision and Radio,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 1adbcca753c7b4f22cf3d6bc3a9579573d4d5846,Sample-Specific SVM Learning for Person Re-identification,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

 1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4,Real-time Distracted Driver Posture Classification,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4,Real-time Distracted Driver Posture Classification,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

+0000fcfd467a19cf0e59169c2f07d730a0f3a8b9,Exploring Visual Relationship for Image Captioning,China,China,China,35.86166000,104.19539700,edu,

 0000fcfd467a19cf0e59169c2f07d730a0f3a8b9,Exploring Visual Relationship for Image Captioning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+00f1cccba86736cb6b6f39759ca6749f819252f0,Transfer Metric Learning for Kinship Verification with Locality-Constrained Sparse Features,China,China,China,35.86166000,104.19539700,edu,

 0021f46bda27ea105d722d19690f5564f2b8869e,Deep Region and Multi-label Learning for Facial Action Unit Detection,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

+003afe78ec7989371f648fd8957a6ce79083cf11,SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu,

+00091891790ee77816ebd785d25900254e6986bd,Discriminative Robust Local Binary Pattern based Edge Texture Features for Object Recognition,India,India,India,20.59368400,78.96288000,edu,

+00091891790ee77816ebd785d25900254e6986bd,Discriminative Robust Local Binary Pattern based Edge Texture Features for Object Recognition,India,India,India,20.59368400,78.96288000,edu,

 0066caed1238de95a431d836d8e6e551b3cde391,Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 00434a4491b6710308c653c430784872849d1f36,Evaluating Scientific Workflow Execution on an Asymmetric Multicore Processor,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu,

+0058cbe110933f73c21fa6cc9ae0cd23e974a9c7,An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality,India,India,India,20.59368400,78.96288000,edu,

 0058cbe110933f73c21fa6cc9ae0cd23e974a9c7,An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 0058cbe110933f73c21fa6cc9ae0cd23e974a9c7,An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu,

 006a4d9a06ee8d36bbc9187b2015c206c80a8aff,Spectral GeometricMethods for Deformable 3 D Shape Retrieval,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu,

 00e4f90555b98e2286d4d07c87220a6766c441f0,Localization of Multi-pose and Occluded Facial Features via Sparse Shape Representation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

+005c996a9059af96454c3d6f83338068d3608585,On Detection of Multiple Object Instances Using Hough Transforms,Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company,

 00bf7bcf31ee71f5f325ca5307883157ba3d580f,Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

 00a24b3a377fdb9b31e0f9d0860e48a95c17c304,Exaggerated Intergroup Bias in Economical Decision Making Games: Differential Effects of Primary and Secondary Psychopathic Traits,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

 00a24b3a377fdb9b31e0f9d0860e48a95c17c304,Exaggerated Intergroup Bias in Economical Decision Making Games: Differential Effects of Primary and Secondary Psychopathic Traits,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu,

@@ -14146,9 +17424,13 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 00732bed67ca05a601afe8376b5121545d5c7450,Path Aggregation Network for Instance Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 00dec7b4e082e9345e1b34e36d42669f12c129f2,Lost in binarization: query-adaptive ranking for similar image search with compact codes,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Lomonosov Moscow State University,Lomonosov Moscow State University,"МГУ, улица Академика Хохлова, Московский государственный университет им. М. В. Ломоносова, район Раменки, Западный административный округ, Москва, ЦФО, 119234, РФ",55.70229715,37.53179777,edu,

+00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 003927ec8deedf8cb515ad3b145ef2a5a556cbf4,On Autoencoders and Score Matching for Energy Based Models,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu,

 003927ec8deedf8cb515ad3b145ef2a5a556cbf4,On Autoencoders and Score Matching for Energy Based Models,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 0095564f9e0afe920324fc75cf0b76d3f4825206,Geometry Aware Constrained Optimization Techniques for Deep Learning ∗,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+0095564f9e0afe920324fc75cf0b76d3f4825206,Geometry Aware Constrained Optimization Techniques for Deep Learning ∗,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

 0081e2188c8f34fcea3e23c49fb3e17883b33551,Training Deep Face Recognition Systems with Synthetic Data,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 0041ea67f32bef4949fedcef97562ad16fe5a7f9,Gradient based efficient feature selection,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 00514ba3949302705b3b88af5eeef2d05cf8497d,Region-based Segmentation and Object Detection,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -14160,6 +17442,7 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 000f90380d768a85e2316225854fc377c079b5c4,Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 00b29e319ff8b3a521b1320cb8ab5e39d7f42281,Towards Transparent Systems: Semantic Characterization of Failure Modes,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,

 00b29e319ff8b3a521b1320cb8ab5e39d7f42281,Towards Transparent Systems: Semantic Characterization of Failure Modes,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

+00b29e319ff8b3a521b1320cb8ab5e39d7f42281,Towards Transparent Systems: Semantic Characterization of Failure Modes,"Virginia Tech, Blacksburg, USA","Virginia Tech, Blacksburg, USA","Blacksburg, VA 24061, USA",37.22838430,-80.42341670,edu,

 007e86cb55f0ba0415a7764a1e9f9566c1e8784b,Adversarial Feature Learning,"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,

 0037d05fe2fc9553e58206f40ca39760396b5911,Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 0037d05fe2fc9553e58206f40ca39760396b5911,Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -14174,11 +17457,17 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 00e3957212517a252258baef833833921dd308d4,Adaptively Weighted Multi-task Deep Network for Person Attribute Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 0074ccd17382bf077bf08d649a97541ad64478fd,Answer-Aware Attention on Grounded Question Answering in Images,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,

 00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu,

+00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu,

+00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu,

+00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu,

+00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu,

 001d909eb3513fb6fad8fb2355971441255458c3,Minimal local reconstruction error measure based discriminant feature extraction and classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

 004ec53d1f12cc4c0a7c809bf3b7acaee2180fd9,An Affectively Aware Virtual Therapist for Depression Counseling,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 004ec53d1f12cc4c0a7c809bf3b7acaee2180fd9,An Affectively Aware Virtual Therapist for Depression Counseling,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu,

 00f7f7b72a92939c36e2ef9be97397d8796ee07c,3 D ConvNets with Optical Flow Based Regularization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 00b08d22abc85361e1c781d969a1b09b97bc7010,Who is the hero? semi-supervised person re-identification in videos,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu,

+00b08d22abc85361e1c781d969a1b09b97bc7010,Who is the hero? semi-supervised person re-identification in videos,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 00d6e5a1b347463f6aeb08a10cd912273c9d1347,1 FACE RECOGNITION VENDOR TEST 2002 : EVALUATION REPORT,DARPA,DARPA,"3701 Fairfax Dr, Arlington, VA 22203, USA",38.88334130,-77.10459770,mil,"3701 N. Fairfax Dr., Arlington, VA 22203"

 00d6e5a1b347463f6aeb08a10cd912273c9d1347,1 FACE RECOGNITION VENDOR TEST 2002 : EVALUATION REPORT,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

 00d6e5a1b347463f6aeb08a10cd912273c9d1347,1 FACE RECOGNITION VENDOR TEST 2002 : EVALUATION REPORT,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu,

@@ -14190,10 +17479,14 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 00f5bfc2fb760249ba4e9c72b72eea4574068339,VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 000aac6ba1c67150d2d6fcc9acbe484b24de4c06,A Picture Is Worth a Thousand Tags: Automatic Web Based Image Tag Expansion,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 00075519a794ea546b2ca3ca105e2f65e2f5f471,"Generating a Large , Freely-Available Dataset for Face-Related Algorithms",Amherst College,Amherst College,"Amherst College, Boltwood Avenue, Amherst, Hampshire, Massachusetts, 01004, USA",42.37289000,-72.51881400,edu,

+00c4325c669c52db182390b2ab4a2b9c20f06b8d,A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions,China,China,China,35.86166000,104.19539700,edu,

+00c4325c669c52db182390b2ab4a2b9c20f06b8d,A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions,China,China,China,35.86166000,104.19539700,edu,

 00c4325c669c52db182390b2ab4a2b9c20f06b8d,A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions,University of Oulu,University 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,

 00ebc3fa871933265711558fa9486057937c416e,Collaborative Representation based Classification for Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu,

 00ebc3fa871933265711558fa9486057937c416e,Collaborative Representation based Classification for Face Recognition,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

+00ebc3fa871933265711558fa9486057937c416e,Collaborative Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

 00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7,Adaptive Margin Nearest Neighbor for Person Re-Identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu,

+00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7,Adaptive Margin Nearest Neighbor for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu,

 006af49a030aa5b17046cfaf40de8f9246b96adf,Super-Resolution on Image and Video,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 006af49a030aa5b17046cfaf40de8f9246b96adf,Super-Resolution on Image and Video,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 006af49a030aa5b17046cfaf40de8f9246b96adf,Super-Resolution on Image and Video,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -14210,12 +17503,15 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric
 00a967cb2d18e1394226ad37930524a31351f6cf,Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

 00a967cb2d18e1394226ad37930524a31351f6cf,Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

 00a967cb2d18e1394226ad37930524a31351f6cf,Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company,

+00e8968c5922b71bf3be2e9733fce82f3c40cf44,Neuronal fiber pathway abnormalities in autism: an initial MRI diffusion tensor tracking study of hippocampo-fusiform and amygdalo-fusiform pathways.,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 00e8968c5922b71bf3be2e9733fce82f3c40cf44,Neuronal fiber pathway abnormalities in autism: an initial MRI diffusion tensor tracking study of hippocampo-fusiform and amygdalo-fusiform pathways.,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 004053203529d86d7c753ed5bc54f00f4888acec,Combinatorial and statistical methods for part selection for object recognition,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu,

 00823e6c0b6f1cf22897b8d0b2596743723ec51c,Understanding and Comparing Deep Neural Networks for Age and Gender Classification,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu,

 009a18d04a5e3ec23f8ffcfc940402fd8ec9488f,Action Recognition by Weakly-Supervised Discriminative Region Localization.,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 af2531b3834b92275a3353e4b2426217ddc4a839,Probabilistic multiple face detection and tracking using entropy measures,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 af2531b3834b92275a3353e4b2426217ddc4a839,Probabilistic multiple face detection and tracking using entropy measures,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 af55a25cdd3a2c138e755d5206b35457c1f5760b,DistInit: Learning Video Representations without a Single Labeled Video,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,

@@ -14227,6 +17523,7 @@ af6c3c4826137ef638ded6ea1664e14a53d23798,Crowdsourcing Question-Answer Meaning R
 afdf9a3464c3b015f040982750f6b41c048706f5,A Recurrent Encoder-Decoder Network for Sequential Face Alignment,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 afdf9a3464c3b015f040982750f6b41c048706f5,A Recurrent Encoder-Decoder Network for Sequential Face Alignment,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 af1a6c35f5d75122756d37faed062d5b5cd6bc71,12 Emotion Modelling and Facial Affect Recognition in Human-Computer and Human-Robot Interaction,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu,

+af9d41c598fc5ae57b20948cf664273da4664931,A comparison of crowd commotion measures from generative models,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu,

 af7cab9b4a2a2a565a3efe0a226c517f47289077,Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 af7cab9b4a2a2a565a3efe0a226c517f47289077,Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 af6e6167223aa7936c11668a3de655baac4ab1f3,FACIAL PARTS RECOGNITION USING LIFTING WAVELET FILTERS LEARNED BY KURTOSIS-MINIMIZATION,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu,

@@ -14234,6 +17531,8 @@ af386bb1b5e8c9f65b3ae836198a93aa860d6331,Revisiting Dilated Convolution: A Simpl
 af31ef1e81c1132f186d7aebb141d7f59a815010,Domain-specific progressive sampling of face images,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,

 af31ef1e81c1132f186d7aebb141d7f59a815010,Domain-specific progressive sampling of face images,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu,

 af58701bdd28a49d234ba87d8f1b90d1f001184e,Part-based pose estimation with local and non-local contextual information,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+af95ba2c08cf3317291dad554488dd951cd6ff80,Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+af95ba2c08cf3317291dad554488dd951cd6ff80,Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 afd9c334973b935284dde768afd15e059eaa825b,Comparative Analysis of the Variability of Facial Landmarks for Forensics Using CCTV Images,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu,

 afb3a84b7daa92d6e1894f5fefe9b38904976d7d,Generative adversarial network-based image super-resolution using perceptual content losses,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 af2c7b9adbf898b251d3d5d0659fd21fcd0197ba,Contextual Combination of Appearance and Motion for Intersection Videos with Vehicles and Pedestrians,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu,

@@ -14242,16 +17541,24 @@ af3d8552d31843136acc8eae994842c0cd5262b5,Deep Dual Pyramid Network for Barcode S
 af3d8552d31843136acc8eae994842c0cd5262b5,Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 afde6c95ca696de65599a27590b31112a3eb6f6d,A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 af5a0812664b4a5068d6b2349baf520d3f6beec2,Extended HOG-CLBC for pedstrain detection,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu,

+af5a0812664b4a5068d6b2349baf520d3f6beec2,Extended HOG-CLBC for pedstrain detection,China,China,China,35.86166000,104.19539700,edu,

 af370cbe392b7fb2b9f26476a7e063e0f4c46815,Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability.,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 af370cbe392b7fb2b9f26476a7e063e0f4c46815,Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability.,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 af405d9a70846214a0e3218ff7dd28b051ac4aef,Modelling and unsupervised learning of symmetric deformable object categories,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 af405d9a70846214a0e3218ff7dd28b051ac4aef,Modelling and unsupervised learning of symmetric deformable object categories,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 afe987d36438efaa2b5116c444b5fc47462f11d9,SALL-E: Situated Agent for Language Learning,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu,

 afd492a598476b5a9b13e2b6d28a76b0707c0a35,Open-set Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+afd492a598476b5a9b13e2b6d28a76b0707c0a35,Open-set Person Re-identification,China,China,China,35.86166000,104.19539700,edu,

 afb3bc6854003c7cc9e94cb16d62ef353b5a6569,Human layout estimation using structured output learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,India,India,India,20.59368400,78.96288000,edu,

+af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,India,India,India,20.59368400,78.96288000,edu,

+af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,India,India,India,20.59368400,78.96288000,edu,

+af9a830f62478c3638880d9a870f0b10535b3f92,Hausdorff distance-based multiresolution maps applied to image similarity measure,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu,

 afe9cfba90d4b1dbd7db1cf60faf91f24d12b286,Principal Directions of Synthetic Exact Filters for Robust Real-Time Eye Localization,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu,

 af278274e4bda66f38fd296cfa5c07804fbc26ee,A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu,

 af278274e4bda66f38fd296cfa5c07804fbc26ee,A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu,

+af278274e4bda66f38fd296cfa5c07804fbc26ee,A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+af283064e5af079a4a49a8641a2e4cc08e583a59,Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu,

 af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

@@ -14261,6 +17568,7 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U
 39db629b96eda72a23a49d54f32689e0651ca4ae,Applying artificial vision models to human scene understanding,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 39db629b96eda72a23a49d54f32689e0651ca4ae,Applying artificial vision models to human scene understanding,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu,

 390cc673792dbf47939f621aef5bb774ca01dc46,Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection,University of Oulu,University 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,

+390cc673792dbf47939f621aef5bb774ca01dc46,Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 398dbeafe5c96b90a243d408b1280524be5bbab2,VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 398dbeafe5c96b90a243d408b1280524be5bbab2,VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

 398dbeafe5c96b90a243d408b1280524be5bbab2,VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu,

@@ -14277,6 +17585,7 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U
 39b741be40e093f92519cd15cd2deb6e114d6200,Joint Probabilistic Data Association Revisited,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 39b741be40e093f92519cd15cd2deb6e114d6200,Joint Probabilistic Data Association Revisited,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 3983637022992a329f1d721bed246ae76bc934f7,Wide-baseline stereo for face recognition with large pose variation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+397400dd7c31e47f8dec20a742695abed297a150,An integrated vision-based architecture for home security system,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 396a19e29853f31736ca171a3f40c506ef418a9f,Real World Real-time Automatic Recognition of Facial Expressions,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company,

 39742f9b3a9f7adefbe936de68249148576b90da,Alcohol and remembering a hypothetical sexual assault: Can people who were under the influence of alcohol during the event provide accurate testimony?,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu,

 3939778ca4175aeccbc31d310f9b3ec8676a5030,Boosted Dynamic Mixture Active Shape Model For MultiView Face Alignment,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu,

@@ -14287,6 +17596,9 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U
 39f03d1dfd94e6f06c1565d7d1bb14ab0eee03bc,Simultaneous Local Binary Feature Learning and Encoding for Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 39f03d1dfd94e6f06c1565d7d1bb14ab0eee03bc,Simultaneous Local Binary Feature Learning and Encoding for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu,

 3900fb44902396f94fb070be41199b4beecc9081,Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+3958db5769c927cfc2a9e4d1ee33ecfba86fe054,Describable Visual Attributes for Face Verification and Image Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+3958db5769c927cfc2a9e4d1ee33ecfba86fe054,Describable Visual Attributes for Face Verification and Image Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+39675124e4fe1be08f42bdd2e1e237e5a87839ba,"Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 392d35bb359a3b61cca1360272a65690a97a2b3f,Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu,

 395e007cf11dd3082d059b8c96dcffae628ffb4f,Learning-Based Incremental Creation of Web Image Databases,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu,

 3991223b1dc3b87883cec7af97cf56534178f74a,A unified framework for context assisted face clustering,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu,

@@ -14297,6 +17609,9 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U
 39f48090df19dd0122590ef839226f8b2bcbe609,The MPI Emotional Body Expressions Database for Narrative Scenarios,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu,

 391af839051826ec317a6ea61010734baf536551,Question-Guided Hybrid Convolution for Visual Question Answering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 39223c8e64221062cd992e7e89e6db858014eac1,Progressive Recurrent Learning for Visual Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+399f973a59493280db9686ebd9e7e218ce74a5bd,Face Recognition System – A Survey,India,India,India,20.59368400,78.96288000,edu,

+399f973a59493280db9686ebd9e7e218ce74a5bd,Face Recognition System – A Survey,India,India,India,20.59368400,78.96288000,edu,

+390f3d7cdf1ce127ecca65afa2e24c563e9db93b,Learning and Transferring Multi-task Deep Representation for Face Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 397f343180dc4c9f40c1c706217956126a09d157,Face-Cap: Image Captioning using Facial Expression Analysis,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 3983370efe7a7521bde255017171724d845b3383,Learning Discriminators as Energy Networks in Adversarial Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

 3983370efe7a7521bde255017171724d845b3383,Learning Discriminators as Energy Networks in Adversarial Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

@@ -14313,7 +17628,9 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U
 39e4dfa4ec7e2bee44a9c5b940e640eb39c3442f,An Intersectional Definition of Fairness,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 39e55283e6eb3f0f9db07cf1b20e0de8d5aac10e,Diverse Image Captioning via GroupTalk,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

+39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,Oxford University,Oxford University,"University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK",51.75208490,-1.25166460,edu,

+39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu,

 3946b8f862ecae64582ef0912ca2aa6d3f6f84dc,Who and Where: People and Location Co-Clustering,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 397349476582198639abc7a8b933e350cbc24c37,2 D & 3 D-ComFusFace : 2 D and 3 D Face Recognition by Scalable Fusion of Common Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 397349476582198639abc7a8b933e350cbc24c37,2 D & 3 D-ComFusFace : 2 D and 3 D Face Recognition by Scalable Fusion of Common Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

@@ -14323,6 +17640,7 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U
 394bf41cd8578ec10cd34452c688c3e3de1c16a7,Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu,

 a20f132a30e99541aa7ba6dddac86e6a393778e8,Self Attention Grid for Person Re-Identification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu,

 a25d12d3eaaba6ec8ef4a2690068e9fbd74b977a,Morph: Flexible Acceleration for 3D CNN-based Video Understanding,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

+a2dd13729206a7434ef1f0cd016275c0d6f3bb6d,SFV: Reinforcement Learning of Physical Skills from Videos,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 a29a22878e1881d6cbf6acff2d0b209c8d3f778b,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a29a22878e1881d6cbf6acff2d0b209c8d3f778b,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 a29a22878e1881d6cbf6acff2d0b209c8d3f778b,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

@@ -14351,7 +17669,9 @@ a287643d3eddca3dcc09b3532f2b070a28d4a022,Real-time Human Pose Estimation from Vi
 a287643d3eddca3dcc09b3532f2b070a28d4a022,Real-time Human Pose Estimation from Video with Convolutional Neural Networks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 a2d1818eb461564a5153c74028e53856cf0b40fd,Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition,Tencent,"Tencent AI Lab, China","Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057",22.54471540,113.93571640,company,"Keji Middle 1st Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057"

 a2e3c367995a238155f0b180743d5487ecdf8df5,Novel Modular Weightless Neural Architectures for Biometrics-based Recognition,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu,

+a2fbaa0b849ecc74f34ebb36d1442d63212b29d2,An Efficient Approach to Face Recognition of Surgically Altered Images,India,India,India,20.59368400,78.96288000,edu,

 a213405441c68a0ce415a4a842bdd6ac62c1667b,Enhancement of SSD by concatenating feature maps for object detection.,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

+a25106a76af723ba9b09308a7dcf4f76d9283589,Local Octal Pattern : A Proficient Feature Extraction for Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 a25106a76af723ba9b09308a7dcf4f76d9283589,Local Octal Pattern : A Proficient Feature Extraction for Face Recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu,

 a213bbf9740854a276fdf71dad8f30cfbe3ea4d4,The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 a213bbf9740854a276fdf71dad8f30cfbe3ea4d4,The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

@@ -14379,6 +17699,8 @@ f3906c390e378ece7f785fb553e0b89c2cbfeeb2,Automatic 3D Facial Region Retrieval fr
 f367feef8f486966916bd0769de8c7b5a59250b1,Direct Shot Correspondence Matching,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 f367feef8f486966916bd0769de8c7b5a59250b1,Direct Shot Correspondence Matching,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 f328137ba1924c8b451be32c7bd8d1d9a5c392d6,Relative Attribute Learning with Deep Attentive Cross-image Representation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+f3ec43a7b22f6e5414fec473acda8ffd843e7baf,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu,

+f3ec43a7b22f6e5414fec473acda8ffd843e7baf,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu,

 f3ec43a7b22f6e5414fec473acda8ffd843e7baf,A Coupled Evolutionary Network for Age Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 f3a9baff7b059c528a7f72dd458db569892ee29c,"Spectral Matching , Learning , and Inference using Pairwise Interactions",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,

 f3a9baff7b059c528a7f72dd458db569892ee29c,"Spectral Matching , Learning , and Inference using Pairwise Interactions",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,

@@ -14389,14 +17711,24 @@ f3c01802d226a228df623d3bc289333f05bf55d3,Recognition and Classification of Rotor
 f312fce73aabd97bf4fc02fe2829f6959e251b1e,Runtime Support for Human-in-the-Loop Feature Engineering System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 f312fce73aabd97bf4fc02fe2829f6959e251b1e,Runtime Support for Human-in-the-Loop Feature Engineering System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 f312fce73aabd97bf4fc02fe2829f6959e251b1e,Runtime Support for Human-in-the-Loop Feature Engineering System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

+f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38,AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH,India,India,India,20.59368400,78.96288000,edu,

+f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38,AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH,India,India,India,20.59368400,78.96288000,edu,

 f302185b1416d8b47620c67b3942a8675bbb4679,Domain Adapted Word Embeddings for Improved Sentiment Classification,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 f3015be0f9dbc1a55b6f3dc388d97bb566ff94fe,A study on the effective approach to illumination-invariant face recognition based on a single image,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

+f3015be0f9dbc1a55b6f3dc388d97bb566ff94fe,A study on the effective approach to illumination-invariant face recognition based on a single image,China,China,China,35.86166000,104.19539700,edu,

 f3fc96377dc3456948fd3431ce940258926ce04e,Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu,

 f3df296de36b7c114451865778e211350d153727,Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu,

 f397b8c835425e4b18cc7d9088b7f810c6cf2563,Yimo Guo IMAGE AND VIDEO ANALYSIS BY LOCAL DESCRIPTORS AND DEFORMABLE IMAGE REGISTRATION,University of Oulu,University 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,

 f33ef5b2707078528f23e067565f992f4b03f4a7,Actor and Observer: Joint Modeling of First and Third-Person Videos,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,

+f34a6c1bc9a7872c8dc4c35b678f87bb966ab0ab,"PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects",Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu,

 f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu,

+f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu,

+f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu,

+f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu,

+f3f65a8113d6a2dcbc690fd47dfee2dff0f41097,Generating 3D Faces Using Convolutional Mesh Autoencoders,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 f3a1246d3a0c7de004db9ef9f312bcedb5e22532,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

+f3a1246d3a0c7de004db9ef9f312bcedb5e22532,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu,

 f3a1246d3a0c7de004db9ef9f312bcedb5e22532,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 f3e55a4d86246cc50226b5c07b8962938c5d98d9,On the neural control of social emotional behavior.,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

 f38cedfd93f421058682c30635a64fc0a2498192,Understanding Deep Convolutional Networks through Gestalt Theory,Democritus University of Thrace,Democritus University of Thrace,"Δημοκρίτειο Πανεπιστήμιο Θράκης, Μάκρη - Αλεξανδρούπολη, Αλεξανδρούπολη, Δήμος Αλεξανδρούπολης, Περιφερειακή Ενότητα Έβρου, Περιφέρεια Ανατολικής Μακεδονίας και Θράκης, Μακεδονία - Θράκη, 68100, Ελλάδα",40.84941785,25.83444939,edu,

@@ -14405,8 +17737,12 @@ f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional
 f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu,

 f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

+f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,China,China,China,35.86166000,104.19539700,edu,

+f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,China,China,China,35.86166000,104.19539700,edu,

+f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,China,China,China,35.86166000,104.19539700,edu,

 f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu,

 f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,Soochow University,Soochow University,"苏州大学（天赐庄校区）, 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu,

+f36647e63a11486ef9cf7a5a1c86a40fda5d408a,CS 229 Final Report : Artistic Style Transfer for Face Portraits,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f3fed71cc4fc49b02067b71c2df80e83084b2a82,Learning Sparse Latent Representations with the Deep Copula Information Bottleneck,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu,

 f39d3ed10131f986be5fb8a10b77d44bc9feada8,Boosting with Side Information,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu,

 f39d3ed10131f986be5fb8a10b77d44bc9feada8,Boosting with Side Information,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

@@ -14420,7 +17756,9 @@ f3ab1f95a3d7db15cb7c94cac0de015101e60326,Incremental Segmentation on Private Dat
 f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,eview systematic review and meta-analysis of the fMRI investigation of autism pectrum disorders,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,eview systematic review and meta-analysis of the fMRI investigation of autism pectrum disorders,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,eview systematic review and meta-analysis of the fMRI investigation of autism pectrum disorders,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

+f3cb97791ded4a5c3bed717f820215a1c9648226,Multi-scale Block Weber Local Descriptor for Face Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 f3cb97791ded4a5c3bed717f820215a1c9648226,Multi-scale Block Weber Local Descriptor for Face Recognition,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

+f3b7938de5f178e25a3cf477107c76286c0ad691,Object Detection with Deep Learning: A Review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 f3f77b803b375f0c63971b59d0906cb700ea24ed,Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu,

 f39fc7c420277616eea29754d0d367297c6f02c1,Feature extraction based on co-occurrence of adjacent local binary patterns,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu,

 f3880d1067915bbbaa0c47a736f46f488185250e,Illumination Normalization for Outdoor Face Recognition by Using Ayofa-filters,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu,

@@ -14447,14 +17785,18 @@ f3a59d85b7458394e3c043d8277aa1ffe3cdac91,Query-Free Attacks on Industry-Grade Fa
 93f37c69dd92c4e038710cdeef302c261d3a4f92,Compressed Video Action Recognition,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,

 93cba94ff0ff96f865ce24ea01e9c006369d75ff,Knowledge Aided Consistency for Weakly Supervised Phrase Grounding,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,

 932f58b4d6bd3bcecc5feadd82ebbf07e94583b9,HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu,

+932f58b4d6bd3bcecc5feadd82ebbf07e94583b9,HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection,China,China,China,35.86166000,104.19539700,edu,

 93420d9212dd15b3ef37f566e4d57e76bb2fab2f,An All-In-One Convolutional Neural Network for Face Analysis,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 938acfc9001174fdf9007e5dea2cfc993a0b9a09,Disentangling Factors of Variation by Mixing Them,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 93721023dd6423ab06ff7a491d01bdfe83db7754,ROBUST FACE ALIGNMENT USING CONVOLUTIONAL NEURAL NETWORKS,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015"

 936a4af585f9a7d3b95c078ad31e8e41e22cb406,Adaptive sampling for large scale boosting,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 93df4ef2e1a9a99c514a69f9b7a22850fd1e00c1,The definitions of three‐dimensional landmarks on the human face: an interdisciplinary view,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu,

 93971a49ef6cc88a139420349a1dfd85fb5d3f5c,Scalable Probabilistic Models: Applied to Face Identification in the Wild,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+935ce31268232b25c9f685128ae0ae9e5c3a0e8e,Implementation of Human detection system using DM 3730,India,India,India,20.59368400,78.96288000,edu,

+935ce31268232b25c9f685128ae0ae9e5c3a0e8e,Implementation of Human detection system using DM 3730,India,India,India,20.59368400,78.96288000,edu,

 933d06908b782279b1127c9ba498d868b26ffe8e,Computers Seeing People,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 939123cf21dc9189a03671484c734091b240183e,Within- and cross- database evaluations for face gender classification via befit protocols,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+935e639bebf905af2e35e8b1e7aa0538d7122185,A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu,

 935e639bebf905af2e35e8b1e7aa0538d7122185,A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 9397e7acd062245d37350f5c05faf56e9cfae0d6,DeepFruits: A Fruit Detection System Using Deep Neural Networks,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu,

 931282732f0be57f7fb895238e94bdda00a52cad,Gated Bi-directional CNN for Object Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

@@ -14478,6 +17820,7 @@ dc83f97a2dd241bf1a9f53ad11d8f10eeb4f5dd6,Pixel Level Data Augmentation for Seman
 dccd5d00f88cdb59b0680baa86024f14331c38d6,Semantic mapping of road scenes,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 dc9c0527f8d4461b1742cccc7317fec8dd96d81a,Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization,Hefei University of Technology,Hefei University of Technology,"合肥工业大学（屯溪路校区）, 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu,

 dc9c0527f8d4461b1742cccc7317fec8dd96d81a,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,

+dcd88a249b480d2e25326cdd11c5879fa31865cc,A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 dcc38db6c885444694f515d683bbb50521ff3990,Learning to Hallucinate Face Images via Component Generation and Enhancement,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu,

 dcc38db6c885444694f515d683bbb50521ff3990,Learning to Hallucinate Face Images via Component Generation and Enhancement,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 dcc38db6c885444694f515d683bbb50521ff3990,Learning to Hallucinate Face Images via Component Generation and Enhancement,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

@@ -14490,8 +17833,12 @@ dcce3d7e8d59041e84fcdf4418702fb0f8e35043,Probabilistic identity characterization
 dc9d62087ff93a821e6bb8a15a8ae2da3e39dcdd,Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

 dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu,

+dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

+dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,India,India,India,20.59368400,78.96288000,edu,

 dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu,

+dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu,

 dcda558e15e309d8e3158bf2cf8e921cdb59cf5f,Target Aware Network Adaptation for Efficient Representation Learning,"KTH Royal Institute of Technology, Stockholm","KTH   Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu,

 dc7df544d7c186723d754e2e7b7217d38a12fcf7,Facial expression recognition using salient facial patches,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

 dc7df544d7c186723d754e2e7b7217d38a12fcf7,Facial expression recognition using salient facial patches,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia"

@@ -14499,6 +17846,7 @@ dc8554b84d2ad7423a3b0339103488e76a591eb0,Compact Design of ECOC for Multi-class
 dc8554b84d2ad7423a3b0339103488e76a591eb0,Compact Design of ECOC for Multi-class Object Categorization,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

 dcb0afca54aa2bde50319ad5720d613a6eca36c3,Deep Pose Consensus Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 dcb0afca54aa2bde50319ad5720d613a6eca36c3,Deep Pose Consensus Networks,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu,

+dcb0afca54aa2bde50319ad5720d613a6eca36c3,Deep Pose Consensus Networks,Samsung,"Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea","Seoul, South Korea",37.56653500,126.97796920,company,

 dc4089294cb15e071893d24bdf2baa15de5dcb0b,Feature selection for subject identification in surveillance photos [face recognition applications],University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 dc16b42a64741df2881604f28788f421e422d297,Cross-view image synthesis using geometry-guided conditional GANs,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu,

 dc45b0f2b18728b7bee65930cceec5542e87db16,ENHANCING THE PERFORMANCE OF ELASTIC GRAPH MATCHING FOR FACE AUTHENTICATION BY USING SUPPORT VECTOR MACHINES,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

@@ -14514,6 +17862,8 @@ dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images
 dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

 dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu,

+dcba9cd587be2ed5437370e12e3591bdde86dc3c,TEMPLATE FOR REGULAR ENTRY,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

+dc550f361ae82ec6e1a0cf67edf6a0138163382e,Emotion Based Music Player,India,India,India,20.59368400,78.96288000,edu,

 dcea75410fefbe70a4736fabbf178a951b6743ed,Computer vision based interfaces for computer games,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu,

 dc22d96593e552700f98dd4bf76ee838f9f11145,A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools,National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu,

 dcd283758d77ae5c99d5ecf69e6258c22dd2572c,Scale-aware multi-level guidance for interactive instance segmentation,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

@@ -14522,6 +17872,7 @@ dcf71245addaf66a868221041aabe23c0a074312,S^3FD: Single Shot Scale-Invariant Face
 dcf71245addaf66a868221041aabe23c0a074312,S^3FD: Single Shot Scale-Invariant Face Detector,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 dc5cde7e4554db012d39fc41ac8580f4f6774045,Video Segmentation by Non-Local Consensus voting,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu,

 dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16,Learning deep structured network for weakly supervised change detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16,Learning deep structured network for weakly supervised change detection,ShanghaiTech University,"ShanghaiTech University, Shanghai, China","Yueyang Rd, Xuhui Qu, Shanghai Shi, China",31.20254500,121.45308600,edu,

 dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16,Learning deep structured network for weakly supervised change detection,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 dc947dc7a948aa8cb8b82f18c0de8707f6064a7d,"""But You Promised"": Methods to Improve Crowd Engagement In Non-Ground Truth Tasks",Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 dc947dc7a948aa8cb8b82f18c0de8707f6064a7d,"""But You Promised"": Methods to Improve Crowd Engagement In Non-Ground Truth Tasks",Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

@@ -14530,6 +17881,7 @@ dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal
 dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing.,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,

 dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

 dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu,

+dc77287bb1fcf64358767dc5b5a8a79ed9abaa53,Fashion Conversation Data on Instagram,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 dc77287bb1fcf64358767dc5b5a8a79ed9abaa53,Fashion Conversation Data on Instagram,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu,

 dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional neural networks,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 87b81c8821a2cb9cdf26c75c1531717cab4b942f,Face Detection with Facial Features and Gender Classification Based On Support Vector Machine,Manonmaniam Sundaranar University,Manonmaniam Sundaranar University,"Manonmaniam Sundaranar University, Tenkasi-Tirunelveli, Gandhi Nagar, Tirunelveli, Tirunelveli Kattabo, Tamil Nadu, 627808, India",8.76554685,77.65100445,edu,

@@ -14540,11 +17892,17 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 8732d702aeb08e9c604b36dcaa5933aea91a228d,Development of social skills in children: neural and behavioral evidence for the elaboration of cognitive models,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,

 8732d702aeb08e9c604b36dcaa5933aea91a228d,Development of social skills in children: neural and behavioral evidence for the elaboration of cognitive models,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu,

+87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,China,China,China,35.86166000,104.19539700,edu,

 87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,China,China,China,35.86166000,104.19539700,edu,

 87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

+87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,China,China,China,35.86166000,104.19539700,edu,

 878ec66a3bb87f23f3f8fd96ee504f79e6100a95,THESIS EVALUATING THE PERFORMANCE OF IPHOTO FACIAL RECOGNITION AT THE BIOMETRIC VERIFICATION TASK,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu,

 870433ba89d8cab1656e57ac78f1c26f4998edfb,Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu,

+871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,India,India,India,20.59368400,78.96288000,edu,

+871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,India,India,India,20.59368400,78.96288000,edu,

 871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu,

+871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,India,India,India,20.59368400,78.96288000,edu,

 87ce85c4f10a2339902460d0906d2fa7894050bf,Speed Complexity Pedestrian Driving Highway Lane-Keeping Parking Traffic Jam Urban Driving Racing Circuit,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 87ce85c4f10a2339902460d0906d2fa7894050bf,Speed Complexity Pedestrian Driving Highway Lane-Keeping Parking Traffic Jam Urban Driving Racing Circuit,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

 87e4d8e0fc4019405001683678cd199fc9936369,Kernelized Multiview Projection,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu,

@@ -14559,7 +17917,10 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 87cf55164a7cc676b68e84b7f39fcdbf7610ece4,Choosing Multi-illumination training Images based on the degree of linear independency,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

+8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,China,China,China,35.86166000,104.19539700,edu,

 8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

+87cab840df202609bfcfb5a9ee3293e61c7c85db,Vision based victim detection from unmanned aerial vehicles,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+87cab840df202609bfcfb5a9ee3293e61c7c85db,Vision based victim detection from unmanned aerial vehicles,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 87cd95dbe885762ec0f733bc9d232eb4d63cc995,Multilinear Hyperplane Hashing,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu,

 87cd95dbe885762ec0f733bc9d232eb4d63cc995,Multilinear Hyperplane Hashing,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu,

 87cd95dbe885762ec0f733bc9d232eb4d63cc995,Multilinear Hyperplane Hashing,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -14579,10 +17940,12 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 871bb9f0e9bed6ea0c3b468a39999cedfbc7580c,Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

 87a66ccc68374ffb704ee6fb9fa7df369718095c,Multi-Person Pose Estimation with Local Joint-to-Person Associations,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 87d0c3359a9a99fddfbc5a388e211762a79ed5d7,Why did the person cross the road (there)? scene understanding using probabilistic logic models and common sense reasoning,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+87bba3f4292727091027b7888b5d8f364425344d,End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners,"ETH Zurich, Zurich, Switzerland","ETH Zurich, Zurich, Switzerland","Technoparkstrasse 1, 8005 Zürich, Switzerland",47.39005860,8.51632480,edu,

 87fa9d667f8f41eb04831356dc8d68b190693e5e,Chat-crowd: A Dialog-based Platform for Visual Layout Composition,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu,

 87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69,Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

 87a4711136040f5d6929d7e31d8dae881afa5d3f,Hand-tremor frequency estimation in videos,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu,

 0bfb78f254eaa6171b0e56dc8dfbda824ef22d20,Generative Dual Adversarial Network for Generalized Zero-shot Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu,

+0bfb78f254eaa6171b0e56dc8dfbda824ef22d20,Generative Dual Adversarial Network for Generalized Zero-shot Learning,China,China,China,35.86166000,104.19539700,edu,

 0bfb78f254eaa6171b0e56dc8dfbda824ef22d20,Generative Dual Adversarial Network for Generalized Zero-shot Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 0b90cd2e8abd6b23e7f8133f02e3e6d121cf4903,Advanced Steel Microstructural Classification by Deep Learning Methods,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

 0b5e4ac8a04c0ffd0f9045901525201db03c789d,Annotated reconstruction of 3D spaces using drones,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu,

@@ -14595,24 +17958,37 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,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,

 0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,China,China,China,35.86166000,104.19539700,edu,

 0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

+0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

+0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,China,China,China,35.86166000,104.19539700,edu,

 0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu,

 0bcc4ccbe7b12166bb6e8669ab6b5c7edfe6294e,Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu,

 0bcc4ccbe7b12166bb6e8669ab6b5c7edfe6294e,Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

 0bdae87db9d402cebbdac21c6a8292945a2aeaf9,Integrated 3 D Expression Recognition and Face Recognition,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu,

 0b50e223ad4d9465bb92dbf17a7b79eccdb997fb,Implicit elastic matching with random projections for pose-variant face recognition,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 0b50e223ad4d9465bb92dbf17a7b79eccdb997fb,Implicit elastic matching with random projections for pose-variant face recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu,

 0b574f70d0965d66986bb9e89df693126652a4a6,Discriminative learning of multiset integrated canonical correlation analysis for feature fusion,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu,

+0b574f70d0965d66986bb9e89df693126652a4a6,Discriminative learning of multiset integrated canonical correlation analysis for feature fusion,China,China,China,35.86166000,104.19539700,edu,

+0b2277a0609565c30a8ee3e7e193ce7f79ab48b0,Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0b2277a0609565c30a8ee3e7e193ce7f79ab48b0,Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

+0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,India,India,India,20.59368400,78.96288000,edu,

 0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu,

 0b835284b8f1f45f87b0ce004a4ad2aca1d9e153,Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos,Indiana University Bloomington,Indiana University Bloomington,"Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA",39.17720475,-86.51540030,edu,

 0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

+0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,China,China,China,35.86166000,104.19539700,edu,

 0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

+0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,China,China,China,35.86166000,104.19539700,edu,

 0b6f64c78c44dc043e2972fa7bfe2a5753768609,A future for learning semantic models of man-made environments,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

 0b242d5123f79defd5f775d49d8a7047ad3153bc,How Important is Weight Symmetry in Backpropagation?,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu,

+0b2d49cb2d2de06b022e2c636e337d294171dc22,New features and insights for pedestrian detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 0b84f07af44f964817675ad961def8a51406dd2e,Person Re-identification in the Wild,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu,

+0b20f75dbb0823766d8c7b04030670ef7147ccdd,Feature selection using nearest attributes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0b79f0999eab1e2ac586a97dfc9a71809e7ab262,Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

+0b6c10ea6bf8a6c254e00fcc2163c4b6fc0f1c3a,"Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database, Comparison of Countermeasures, and Human Performance",a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0b2966101fa617b90510e145ed52226e79351072,Beyond verbs: Understanding actions in videos with text,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 0b2966101fa617b90510e145ed52226e79351072,Beyond verbs: Understanding actions in videos with text,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu,

 0bf3513d18ec37efb1d2c7934a837dabafe9d091,Robust Subspace Clustering via Thresholding Ridge Regression,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学（华西校区）, 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu,

@@ -14627,6 +18003,7 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 0ba1d855cd38b6a2c52860ae4d1a85198b304be4,Variable-state latent conditional random fields for facial expression recognition and action unit detection,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,

 0ba1d855cd38b6a2c52860ae4d1a85198b304be4,Variable-state latent conditional random fields for facial expression recognition and action unit detection,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 0b55b31765f101535eac0d50b9da377f82136d2f,Biometric binary string generation with detection rate optimized bit allocation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

+0bf2765d431c16de7b8f9c644684e69fa52598eb,Integrating Remote PPG in Facial Expression Analysis Framework,"Vicarious Perception Technologies, Amsterdam, The Netherlands","Vicarious Perception Technologies, Amsterdam, The Netherlands","Singel 160, 1015 AH Amsterdam, Netherlands",52.37509500,4.88952400,edu,

 0b4901e6724e533f6d5d2510e1c0199eea898c81,High Quality Bidirectional Generative Adversarial Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu,

 0baee7f68c08f1a6b5190755adebc57145d18ccf,Unsupervised Discovery of Mid-Level Discriminative Patches,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,

 0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8,Inverting and Visualizing Features for Object Detection,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -14634,8 +18011,11 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 0bc3e6618786c5133b7f8b0033f8917e61b42a91,Enhancing Gloss-Based Corpora with Facial Features Using Active Appearance Models,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu,

 0bdc753237de316929e69c83a7df208a80d4e3cd,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 0bdc753237de316929e69c83a7df208a80d4e3cd,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+0bdc753237de316929e69c83a7df208a80d4e3cd,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,China,China,China,35.86166000,104.19539700,edu,

+0b6314e9e741d19346d936eaaa7d6fcf46dd3ed7,Deep Learning in the Wild,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu,

 0b6314e9e741d19346d936eaaa7d6fcf46dd3ed7,Deep Learning in the Wild,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu,

 0be80da851a17dd33f1e6ffdd7d90a1dc7475b96,Weighted Feature Gaussian Kernel SVM for Emotion Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu,

+0b87d91fbda61cdea79a4b4dcdcb6d579f063884,Research on Theory and Method for Facial Expression Recognition System Based on Dynamic Image Sequence,China,China,China,35.86166000,104.19539700,edu,

 0bbb40e5b9e546a3f4e7340b2980059065c99203,Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

 0bbb40e5b9e546a3f4e7340b2980059065c99203,Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu,

 0b183f5260667c16ef6f640e5da50272c36d599b,Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

@@ -14644,24 +18024,36 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional
 0bcde128b115af74d0986306184502ae7c8822f6,Learning Scalable Discriminative Dictionary with Sample Relatedness,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0bd192078234ebc1266c3f3e80560e843ba2f3ab,"DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 0b51197109813d921835cb9c4153b9d1e12a9b34,THE UNIVERSITY OF CHICAGO JOINTLY LEARNING MULTIPLE SIMILARITY METRICS FROM TRIPLET CONSTRAINTS A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE PHYSICAL SCIENCES IN CANDIDACY FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE BY,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu,

-0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

-0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 0bc53b338c52fc635687b7a6c1e7c2b7191f42e5,Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu,

 0b6616f3ebff461e4b6c68205fcef1dae43e2a1a,Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 0b6616f3ebff461e4b6c68205fcef1dae43e2a1a,Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu,

 0bc695e580d41ad163d5ec601bdcf384a0bf91cd,A Linear Approach of 3 D Face Shape and Texture Recovery using a 3 D Morphable Model,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

+0b3a5267c6543a8b4ff3473199bbc648596f6776,Supplementary Material for Superpixel Convolutional Networks using Bilateral Inceptions,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu,

 0b48e1bd69c5b87f197397f933ce7f5261fa00bb,A Joint Model of Language and Perception for Grounded Attribute Learning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu,

 0ba402af3b8682e2aa89f76bd823ddffdf89fa0a,Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 0ba402af3b8682e2aa89f76bd823ddffdf89fa0a,Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu,

 0ba402af3b8682e2aa89f76bd823ddffdf89fa0a,Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu,

 0be8b12f194fb604be69c139a195799e8ab53fd3,Talking Heads: Detecting Humans and Recognizing Their Interactions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu,

+0bfabcf5c74cc17fe8b5777093699789411868b9,Predictive Tagging of Social Media Images using Unsupervised Learning,India,India,India,20.59368400,78.96288000,edu,

+0bfabcf5c74cc17fe8b5777093699789411868b9,Predictive Tagging of Social Media Images using Unsupervised Learning,India,India,India,20.59368400,78.96288000,edu,

 0b8b8776684009e537b9e2c0d87dbd56708ddcb4,Adversarial Discriminative Heterogeneous Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

 0b204afe26f1a73e9183c575e99fe37fef8c1500,Person re-Identification over distributed spaces and time,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu,

+0b572a2b7052b15c8599dbb17d59ff4f02838ff7,Automatic Subspace Learning via Principal Coefficients Embedding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0b43a712f055f788fd0502cac4455e254b1adbeb,Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+0b278c9dc9b16b46ed602eab884ad7a37a988031,Robust Face-Name Graph Matching for Movie Character Identification,India,India,India,20.59368400,78.96288000,edu,

+0b278c9dc9b16b46ed602eab884ad7a37a988031,Robust Face-Name Graph Matching for Movie Character Identification,India,India,India,20.59368400,78.96288000,edu,

 0bf0029c9bdb0ac61fda35c075deb1086c116956,Modelling of Orthogonal Craniofacial Profiles,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 0bdbf63900bf75077b00984d757ca3f10eb372c4,Kernel Fisher NPE for Face Recognition,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu,

+0bdbf63900bf75077b00984d757ca3f10eb372c4,Kernel Fisher NPE for Face Recognition,China,China,China,35.86166000,104.19539700,edu,

+0b0b0d9b15613a6e3c4f9a4dd1c17c0313ca4303,Evaluation of 3D Face Recognition in the presence of facial expressions: an Annotated Deformable Model approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 0bc8849275aec0559b45afd2490f8e42f1502742,Learning for Multi-Model and Multi-Type Fitting,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 0bc8849275aec0559b45afd2490f8e42f1502742,Learning for Multi-Model and Multi-Type Fitting,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+0bddd3a4f45ef68faeb96cee89ff763e8e497af1,Regularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising Autoencoders,Russia,Russia,Russia,61.52401000,105.31875600,edu,

+0bddd3a4f45ef68faeb96cee89ff763e8e497af1,Regularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising Autoencoders,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 0be2245b2b016de1dcce75ffb3371a5e4b1e731b,On the variants of the self-organizing map that are based on order statistics,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

+0b6a5200c33434cbfa9bf24ba482f6e06bf5fff7,"The use of deep learning in image segmentation, classification and detection",Romania,Romania,Romania,45.94316100,24.96676000,edu,

 b4ee6b62f6a89feede06da5fb7e5ad6ec0265175,Recurrent 3D Pose Sequence Machines,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 b42a8325d5cabefd11cee59f4b2b5901eb7f18c6,Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 b42a8325d5cabefd11cee59f4b2b5901eb7f18c6,Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu,

@@ -14678,22 +18070,27 @@ b4338267e825a4cd057365abf49217e1c76bb5f9,Understanding Unequal Gender Classifica
 b4338267e825a4cd057365abf49217e1c76bb5f9,Understanding Unequal Gender Classification Accuracy from Face Images,"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,

 b4646d7d46a4532281f404d6bd05cd280b4a90c0,Learning effective image metrics from few pairwise examples,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 b4646d7d46a4532281f404d6bd05cd280b4a90c0,Learning effective image metrics from few pairwise examples,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu,

-b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

+b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu,

 b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu,

 b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu,

 b438dc16bf97c1324ac66771efa67bdb9b853346,Evaluating asymmetric multiprocessing for mobile applications,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu,

 b41c90bce7fecdcf5980a9990f8693ff07997b65,Categorizing Concepts with Basic Level for Vision-to-Language,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

 b41c90bce7fecdcf5980a9990f8693ff07997b65,Categorizing Concepts with Basic Level for Vision-to-Language,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu,

+b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

 b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu,

+b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,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,

 b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu,

 b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,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,

 b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,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,

 b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,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,

 b47add32c0b26e72f5670644618076dfd8bc1404,Attribute-Guided Face Generation Using Conditional CycleGAN,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu,

+b419e0e1192d307d536421d811d10657f65eb72b,Face Recognition using DCT based Energy Discriminant Mask,India,India,India,20.59368400,78.96288000,edu,

 b43b6551ecc556557b63edb8b0dc39901ed0343b,ICA and Gabor representation for facial expression recognition,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu,

 b446bcd7fb78adfe346cf7a01a38e4f43760f363,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

+b446bcd7fb78adfe346cf7a01a38e4f43760f363,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,India,India,India,20.59368400,78.96288000,edu,

 b446bcd7fb78adfe346cf7a01a38e4f43760f363,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 b46e7d361a030f96d54a9717127f17d0cc833e32,Contextualized Bilinear Attention Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 b4fe4bdd0e42aadf3f7046e9c681d3585ba8a205,Improving dual-tree algorithms,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

@@ -14701,6 +18098,8 @@ b4fe4bdd0e42aadf3f7046e9c681d3585ba8a205,Improving dual-tree algorithms,Georgia
 b47dae9d6499c6a777847a26297a647f0de49214,Aberrant Social Attention and Its Underlying Neural Correlates in Adults with Autism Spectrum Disorder,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu,

 b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3,Rapid face recognition using hashing,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3,Rapid face recognition using hashing,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

+b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3,Rapid face recognition using hashing,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu,

+b45a9f95980c434582c920bf15a8099ec267c1f7,Robust Kronecker Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b4288f34528fbda2d2781454aadccae0d578d59a,Bayesian 3D Tracking from Monocular Video,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu,

 b4288f34528fbda2d2781454aadccae0d578d59a,Bayesian 3D Tracking from Monocular Video,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu,

 b4288f34528fbda2d2781454aadccae0d578d59a,Bayesian 3D Tracking from Monocular Video,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

@@ -14711,10 +18110,15 @@ b4362cd87ad219790800127ddd366cc465606a78,A Smartphone-Based Automatic Diagnosis
 b4843913e5ba0f1bfc12f179587d3789676c3310,4 DFAB : A Large Scale 4 DDatabase for Facial Expression Analysis and Biometric Applications,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,

 b4843913e5ba0f1bfc12f179587d3789676c3310,4 DFAB : A Large Scale 4 DDatabase for Facial Expression Analysis and Biometric Applications,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu,

 b4e889af57295dff9498ba476893a359a91b8a3e,Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

+b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba,Recognizing Disguised Faces in the Wild,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b4a60cfe62d78e315ed4206d455022ead27ecbf0,Deep hashing with triplet quantization loss,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学（徐汇校区）, 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu,

 b411448a978e48352e1959addb9ca8dc762262a3,Probabilistic Subspace Clustering Via Sparse Representations,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 b411448a978e48352e1959addb9ca8dc762262a3,Probabilistic Subspace Clustering Via Sparse Representations,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu,

 b4f5cf797a1c857f32e5740d53d9990bc925af2b,Review of Segmentation with Deep Learning and Discover Its Application in Ultrasound Images,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

+b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu,

+b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu,

+b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu,

+b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu,

 b499de04abb323a0bc6b09922bd16690bd7f67b5,Fast learning for customizable head pose recognition in robotic wheelchair control,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu,

 b42a97fb47bcd6bfa72e130c08960a77ee96f9ab,Based on Graph-preserving Sparse Non-negative Matrix Factorization,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu,

 b42a97fb47bcd6bfa72e130c08960a77ee96f9ab,Based on Graph-preserving Sparse Non-negative Matrix Factorization,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu,

@@ -14731,15 +18135,21 @@ a0848d7b1bb43f4b4f1b4016e58c830f40944817,Face Matching for Post-Disaster Family
 a0d6390dd28d802152f207940c7716fe5fae8760,Bayesian face revisited: a joint formulation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu,

 a0d6390dd28d802152f207940c7716fe5fae8760,Bayesian face revisited: a joint formulation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 a0d6390dd28d802152f207940c7716fe5fae8760,Bayesian face revisited: a joint formulation,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company,

+a0fd85b3400c7b3e11122f44dc5870ae2de9009a,Learning Deep Representation for Face Alignment with Auxiliary Attributes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a082b1ee9a5bafe678539e694197c0910d4a09b2,Point-pair descriptors for 3D facial landmark localisation,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 a05e84f77e1dacaa1c59ba0d92919bdcfe4debbb,Video Question Answering via Hierarchical Spatio-Temporal Attention Networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 a05e84f77e1dacaa1c59ba0d92919bdcfe4debbb,Video Question Answering via Hierarchical Spatio-Temporal Attention Networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

 a0e7f8771c7d83e502d52c276748a33bae3d5f81,Ensemble Nystr̈om,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu,

+a06f0b2d569cbef0822ae5e8625b4cb2a7f1d78c,Effective scaling registration approach by imposing the emphasis on the scale factor,China,China,China,35.86166000,104.19539700,edu,

 a06f0b2d569cbef0822ae5e8625b4cb2a7f1d78c,Effective scaling registration approach by imposing the emphasis on the scale factor,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 a0c81783ec60bd64aefc49285eb082a8185d49c1,TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu,

 a01d22166ed62f5ad485ae32827c70d583a88564,Zero-Shot Learning by Convex Combination of Semantic Embeddings,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

 a01d22166ed62f5ad485ae32827c70d583a88564,Zero-Shot Learning by Convex Combination of Semantic Embeddings,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA"

+a012b41fc54060e11744db20ef6d191b290f1879,Unconstrained Face Recognition From Blurred and Illumination with Pose Variant Face Image Using SVM,India,India,India,20.59368400,78.96288000,edu,

+a05a770bb2b7778e195a578006482926dfc1af82,Learning to Recognize Pedestrian Attribute,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+a0021e3bbf942a88e13b67d83db7cf52e013abfd,Human concerned object detecting in video,China,China,China,35.86166000,104.19539700,edu,

 a0021e3bbf942a88e13b67d83db7cf52e013abfd,Human concerned object detecting in video,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu,

+a0021e3bbf942a88e13b67d83db7cf52e013abfd,Human concerned object detecting in video,China,China,China,35.86166000,104.19539700,edu,

 a00a757b26d5c4f53b628a9c565990cdd0e51876,The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 a00a757b26d5c4f53b628a9c565990cdd0e51876,The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu,

 a00a757b26d5c4f53b628a9c565990cdd0e51876,The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu,

@@ -14749,14 +18159,20 @@ a0d1e2934e6fbf42175fe6f04c281a976dc33975,"Social Attention, Affective Arousal an
 a0dc68c546e0fc72eb0d9ca822cf0c9ccb4b4c4f,Fusing with context: A Bayesian approach to combining descriptive attributes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu,

 a0dc68c546e0fc72eb0d9ca822cf0c9ccb4b4c4f,Fusing with context: A Bayesian approach to combining descriptive attributes,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu,

 a0da08f42b1ce4205456663c4b5fa1d9f1b2b873,Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu,

+a0ae4ffe252f32514240cf6d82d52538de5fb78c,AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES,Russia,Russia,Russia,61.52401000,105.31875600,edu,

 a04273851ae262e884b175c22decd56cbd24e14e,Correcting the Triplet Selection Bias for Triplet Loss,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu,

 a04273851ae262e884b175c22decd56cbd24e14e,Correcting the Triplet Selection Bias for Triplet Loss,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu,

 a04273851ae262e884b175c22decd56cbd24e14e,Correcting the Triplet Selection Bias for Triplet Loss,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,

 a065080353d18809b2597246bb0b48316234c29a,FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu,

+a065080353d18809b2597246bb0b48316234c29a,FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection,China,China,China,35.86166000,104.19539700,edu,

+a065080353d18809b2597246bb0b48316234c29a,FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection,China,China,China,35.86166000,104.19539700,edu,

 a0b1990dd2b4cd87e4fd60912cc1552c34792770,Deep Constrained Local Models 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,

 a0b1990dd2b4cd87e4fd60912cc1552c34792770,Deep Constrained Local Models 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,

 a0b1990dd2b4cd87e4fd60912cc1552c34792770,Deep Constrained Local Models 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,

+a0703bef11c978cc8faf05eb229e29a889f8a0b1,Superpixel Hierarchy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+a0703bef11c978cc8faf05eb229e29a889f8a0b1,Superpixel Hierarchy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64,Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

+a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64,Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 a02f070080d4bd0fcef8b3234ca6b8ee7c97fb50,A principled approach to remove false alarms by modelling the context of a face detector,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu,

 a0ddf6e9697631f771d73b721a3d871db6a04f6c,Multi-view Facial Expressions Recognition using Local Linear Regression of Sparse Codes,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu,

 a0061dae94d916f60a5a5373088f665a1b54f673,Lensless computational imaging through deep learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu,

@@ -14781,14 +18197,19 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge
 435642641312364e45f4989fac0901b205c49d53,Face Model Compression by Distilling Knowledge from Neurons,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu,

 436680ad03e2bb6d1b4e83522cd83e054092acb1,Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu,

 43a03cbe8b704f31046a5aba05153eb3d6de4142,Towards Robust Face Recognition from Video,Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu,

+434300db45ea1b0b36b0c606ca728aaaed235275,The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,China,China,China,35.86166000,104.19539700,edu,

 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,China,China,China,35.86166000,104.19539700,edu,

 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu,

+43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,China,China,China,35.86166000,104.19539700,edu,

 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu,

 4320b0b7e65607e96326990675ac15880dc08b89,A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 434d6726229c0f556841fad20391c18316806f73,Detecting Visual Relationships with Deep Relational Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 436b2f5bf23bc0bd80680ee2ed279cbd55939b86,Visual Saliency Maps Can Apply to Facial Expression Recognition,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu,

 436b2f5bf23bc0bd80680ee2ed279cbd55939b86,Visual Saliency Maps Can Apply to Facial Expression Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+436b2f5bf23bc0bd80680ee2ed279cbd55939b86,Visual Saliency Maps Can Apply to Facial Expression Recognition,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu,

 435514bc2103deb604d762095d8faf77be544b9a,Feature Localisation in Three-Dimensional Faces,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu,

 43776d1bfa531e66d5e9826ff5529345b792def7,Automatic Critical Event Extraction and Semantic Interpretation by Looking-Inside,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu,

 430cfa330b32633f6022ffdea0102bbd58a2fa49,Neural Image Captioning for Intelligent Vehicle-to-Passenger Communication,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

@@ -14796,13 +18217,19 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge
 431e80aeee80a74f41d8af1336016340cd8e4848,Mapping Brain-Behavior Partial Correlations : Application to Autism,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu,

 431e80aeee80a74f41d8af1336016340cd8e4848,Mapping Brain-Behavior Partial Correlations : Application to Autism,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu,

 437edf4b1e8939a3833d8eb814447d9132d7d758,Image matching with distinctive visual vocabulary,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,

+433bb809862f472d6f7f82c5e1f677d194c3fbb3,An Experimental Investigation about the Integration of Facial Dynamics in Video-Based Face Recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu,

 43e99b76ca8e31765d4571d609679a689afdc99e,Learning Dense Facial Correspondences in Unconstrained Images,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,

 431dc992b6f38b9e5eac4a5706af8dae01791334,Organ Segmentation in Poultry Viscera Using RGB-D,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu,

 431dc992b6f38b9e5eac4a5706af8dae01791334,Organ Segmentation in Poultry Viscera Using RGB-D,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu,

 4391c43a59a9761c9c5465005399537b0695b916,FinBrain: When Finance Meets AI 2.0,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu,

+4391c43a59a9761c9c5465005399537b0695b916,FinBrain: When Finance Meets AI 2.0,China,China,China,35.86166000,104.19539700,edu,

+43ae4867d058453e9abce760ff0f9427789bab3a,Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

 439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu,

+439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,China,China,China,35.86166000,104.19539700,edu,

 439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu,

+434a0aebf3522638d75614b0de1f0c2dcc1b19f1,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+434a0aebf3522638d75614b0de1f0c2dcc1b19f1,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 4308f53244bbb6a1e22ba1d39e079e5065a51364,Ethnicity Identification from Face Images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu,

 439f3a865dfb7b42c600a095a6fcee1c1f4768ad,Applying deep learning to classify pornographic images and videos,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu,

 4300c7773a130b4995f60ba5ed920dd1782a3527,Support Vector Machines in face recognition with occlusions,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu,

@@ -14812,7 +18239,9 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge
 438e7999c937b94f0f6384dbeaa3febff6d283b6,"Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu,

 438e7999c937b94f0f6384dbeaa3febff6d283b6,"Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild",Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu,

 43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,China,China,China,35.86166000,104.19539700,edu,

 43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu,

+43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,China,China,China,35.86166000,104.19539700,edu,

 439b6a5b91f1c5a751846bed7dd27c698a7ee2c4,Depth Information Guided Crowd Counting for Complex Crowd Scenes,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu,

 439b6a5b91f1c5a751846bed7dd27c698a7ee2c4,Depth Information Guided Crowd Counting for Complex Crowd Scenes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

 4377b03bbee1f2cf99950019a8d4111f8de9c34a,Selective Encoding for Recognizing Unreliably Localized Faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -14820,11 +18249,18 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge
 4308bd8c28e37e2ed9a3fcfe74d5436cce34b410,Scalable Person Re-identification: A Benchmark,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 4308bd8c28e37e2ed9a3fcfe74d5436cce34b410,Scalable Person Re-identification: A Benchmark,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu,

 43694e7d5861a8bc8aa5884dba3efe2d387511c6,Supplementary Material : Annotating Object Instances with a Polygon-RNN,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu,

+432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,India,India,India,20.59368400,78.96288000,edu,

+432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,India,India,India,20.59368400,78.96288000,edu,

+432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,India,India,India,20.59368400,78.96288000,edu,

 4335805938a35a47cf86c985e993f73060405679,Automatic red-eye effect removal using combined intensity and colour information,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu,

 4335805938a35a47cf86c985e993f73060405679,Automatic red-eye effect removal using combined intensity and colour information,Myongji University,Myongji University,"명지대, 금학로, 역북동, 처인구, 용인시, 경기, 17144, 대한민국",37.23810230,127.19034310,edu,

+43fb9efa79178cb6f481387b7c6e9b0ca3761da8,Mixture of parts revisited: Expressive part interactions for Pose Estimation,India,India,India,20.59368400,78.96288000,edu,

+43fb9efa79178cb6f481387b7c6e9b0ca3761da8,Mixture of parts revisited: Expressive part interactions for Pose Estimation,India,India,India,20.59368400,78.96288000,edu,

 433a6d6d2a3ed8a6502982dccc992f91d665b9b3,Transferring Landmark Annotations for Cross-Dataset Face Alignment.,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu,

 433a6d6d2a3ed8a6502982dccc992f91d665b9b3,Transferring Landmark Annotations for Cross-Dataset Face Alignment.,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu,

 432d5eca44ff558642491f3bb7f44f500993fd38,Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区（托管）, 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu,

+432d5eca44ff558642491f3bb7f44f500993fd38,Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios,China,China,China,35.86166000,104.19539700,edu,

+432d5eca44ff558642491f3bb7f44f500993fd38,Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios,China,China,China,35.86166000,104.19539700,edu,

 435bc494d3606d1137fb8b70d481bd6497f15090,Object Recognition by Integrated Information Using Web Images,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 435bc494d3606d1137fb8b70d481bd6497f15090,Object Recognition by Integrated Information Using Web Images,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

 435bc494d3606d1137fb8b70d481bd6497f15090,Object Recognition by Integrated Information Using Web Images,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu,

@@ -14835,13 +18271,21 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge
 432d8cba544bf7b09b0455561fea098177a85db1,Towards a Neural Statistician,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu,

 435dc062d565ce87c6c20a5f49430eb9a4b573c4,Lighting Condition Adaptation for Perceived Age Estimation,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu,

 438f1841a0b09c96759dc870d663d837d07388e3,Emotional Context Influences Micro-Expression Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu,

+438f1841a0b09c96759dc870d663d837d07388e3,Emotional Context Influences Micro-Expression Recognition,China,China,China,35.86166000,104.19539700,edu,

+4338b6137ee0d02f4bebd14e9a2430c837590209,Automatic eyeglasses removal from face images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+43d073d3fdc22f0d74793fdac47ff56b66c95990,Online Localization and Prediction of Actions and Interactions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+4335d53e763b2caf20f06928cd420ae09e5041ad,Discrete-continuous optimization for multi-target tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

+43e77b5157b0fa0f365808e26af287c3164e002f,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu,

 4348c8706b92a9bd90dbbd735f824ec79e96dd71,Pitfalls in Designing Zero-Effort Deauthentication: Opportunistic Human Observation Attacks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu,

+43bf6489abd63992b82f2008b4417a1638955f0c,Illumination Spaces in YDB and CMU-PIE,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

+43bf6489abd63992b82f2008b4417a1638955f0c,Illumination Spaces in YDB and CMU-PIE,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 43b6fb3146cb92bc36a2aab1368d8665af106a87,"ASePPI, an adaptive scrambling enabling privacy protection and intelligibility in H.264/AVC",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 43b6fb3146cb92bc36a2aab1368d8665af106a87,"ASePPI, an adaptive scrambling enabling privacy protection and intelligibility in H.264/AVC",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu,

 b084683e5bab9b2bc327788e7b9a8e049d5fff8f,Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu,

 b0b07732a9ab9b2b9d9dba41e1b9811629fa43dc,An Efficient Vision-Based Pedestrian Detection and Tracking System for ITS Applications,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu,

 b0b07732a9ab9b2b9d9dba41e1b9811629fa43dc,An Efficient Vision-Based Pedestrian Detection and Tracking System for ITS Applications,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu,

 b05633a18a48d9c18735fd0a186a2654297ae543,Development of holistic vs. featural processing in face recognition,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu,

+b0a96954377390e80de59f0063e5703a21391eb3,Emotionally Representative Image Discovery for Social Events,China,China,China,35.86166000,104.19539700,edu,

 b0a96954377390e80de59f0063e5703a21391eb3,Emotionally Representative Image Discovery for Social Events,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu,

 b06b960293b1c7744580e03539713c9fd83c0b63,Distributed Submodular Cover: Succinctly Summarizing Massive Data,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu,

 b013cce42dd769db754a57351d49b7410b8e82ad,Automatic point-based facial trait judgments evaluation,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu,

@@ -14851,9 +18295,13 @@ b05faf0ae510cbd7510a6242aafdda7de3088282,Encoder Semantic Decoder Input Image Mu
 b05faf0ae510cbd7510a6242aafdda7de3088282,Encoder Semantic Decoder Input Image MultiTask Loss Instance Decoder Depth Decoder Semantic Task Uncertainty Instance Task Uncertainty Depth Task Uncertainty Σ,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu,

 b0c66e95b5eb36471bcdcdaad7d9368556110109,Fuzzy Rule Based Quality Measures for Adaptive Multimodal Biometric Fusion at Operation Time,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

 b0c66e95b5eb36471bcdcdaad7d9368556110109,Fuzzy Rule Based Quality Measures for Adaptive Multimodal Biometric Fusion at Operation Time,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu,

+b0771b7ca52022b37a563464f823af67c0b36c03,Image Retrieval Technique Using Local Binary Pattern ( LBP ),India,India,India,20.59368400,78.96288000,edu,

+b0771b7ca52022b37a563464f823af67c0b36c03,Image Retrieval Technique Using Local Binary Pattern ( LBP ),India,India,India,20.59368400,78.96288000,edu,

 b0d61c3e9851bb83cda8bc079e92d73a43e479bc,A Thin Shell Approach to the Registration of Implicit Surfaces,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu,

 b0d61c3e9851bb83cda8bc079e92d73a43e479bc,A Thin Shell Approach to the Registration of Implicit Surfaces,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu,

+b0b628bda8a6c4267eeaf91420b8610400ff398f,Intact emotion facilitation for nonsocial stimuli in autism: is amygdala impairment in autism specific for social information?,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu,

 b0724a7b4b63d58e249379b889656a899455e0c2,Easy Identification from Better Constraints : Multi-Shot Person Re-Identification from Reference Constraints,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu,

+b0724a7b4b63d58e249379b889656a899455e0c2,Easy Identification from Better Constraints : Multi-Shot Person Re-Identification from Reference Constraints,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu,

 b0d343ad82eb4060f016ff39289eacb222c45632,Transferable Semi-Supervised Semantic Segmentation,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu,

 b0d343ad82eb4060f016ff39289eacb222c45632,Transferable Semi-Supervised Semantic Segmentation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 b0d343ad82eb4060f016ff39289eacb222c45632,Transferable Semi-Supervised Semantic Segmentation,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu,

@@ -14890,6 +18338,9 @@ b051715249e47fa7e987e1a5504830af0521c38c,Sentribute: image sentiment analysis fr
 b03b4d8b4190361ed2de66fcbb6fda0c9a0a7d89,Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 b03b4d8b4190361ed2de66fcbb6fda0c9a0a7d89,Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu,

 b0b4ce1962ad6732965aa7f4b3dd1bfd32f0ae5c,A Database of Morphed Facial Expressions of Emotions,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu,

+b0760764dc573b519f76d5a79531d49af333c67a,Neural Style Transfer: A Review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu,

 b099dfc5c823be79f9ca96168263c40d0020b92e,Co-Training for Demographic Classification Using Deep Learning from Label Proportions,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu,

 b099dfc5c823be79f9ca96168263c40d0020b92e,Co-Training for Demographic Classification Using Deep Learning from Label Proportions,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu,

+b02342a423eef6e19f473eba26b067405b525f16,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,"DGIST, Daegu, Republic of Korea","DGIST, Daegu, Republic of Korea","South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu,

+b02342a423eef6e19f473eba26b067405b525f16,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu,

 b018fa5cb9793e260b8844ae155bd06380988584,Project STAR IST-2000-28764 Deliverable D 6 . 3 Enhanced face and arm / hand detector,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu,

diff --git a/scraper/reports/stats/unknown_papers.csv b/scraper/reports/stats/unknown_papers.csv
index b3090c78..9b9cce02 100644
--- a/scraper/reports/stats/unknown_papers.csv
+++ b/scraper/reports/stats/unknown_papers.csv
@@ -22,10 +22,6 @@ Department of Electrical Engineering and Robotics, Shahrood University of Techno
 Milad Lankarany and Alireza Ahmadyfard
 Keywords:
 Ear Biometrics, Ear Segmentation, Topographic Features."

-adf1b20cffb0ab12d20f878d07373efc4c1bc6c4,Image Retagging Using Collaborative Tag Propagation,"Image Retagging Using Collaborative
-Tag Propagation
-Dong Liu, Shuicheng Yan, Senior Member, IEEE, Xian-Sheng Hua, Member, IEEE, and
-Hong-Jiang Zhang, Fellow, IEEE"

 ad7a7f70e460d4067d7170bcc0f1ea62eedd7234,CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams,"CBinfer: Exploiting Frame-to-Frame Locality for Faster
 Convolutional Network Inference on Video Streams
 Lukas Cavigelli, Luca Benini"

@@ -45,14 +41,6 @@ Department of Computer Science, The University of Georgia, Athens, Georgia 30602
 Karan Sharma Arun CS Kumar
 Emails:
 Suchendra M. Bhandarkar"

-ada4901e0022b4fdeb9ec3ae26b986199f7ae3be,Human Face Recognition based on Improved PCA Algorithm,"Human Face Recognition based on Improved
-PCA Algorithm
-Xu Yue
-College of art and design, LanZhou JiaoTong University, Lanzhou, China
-Email:
-Linhao Li
-AT&T Labs, 200 South Laurel Ave, #D4-3C05, NJ, USA
-Email:"

 ade32e04dceeaed72c3e99a9f3698b2fe01c9863,Learning confidence measures in the wild,"F. TOSI ET AL.: LEARNING CONFIDENCE MEASURES IN THE WILD
 Learning confidence measures in the wild
 University of Bologna
@@ -140,18 +128,6 @@ Sumazly Ulaiman and 2R.U. Gobithaasan
 Center for Artificial Intelligent Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
 School of Informatics and App. Maths, Universiti Malaysia Terengganu, Terengganu, Malaysia
 Received 2014-02-20; Revised 2014-04-29; Accepted 2014-08-04"

-adaff7ff015b4be77e8c0bdb9d002b614d6e2851,A Hybrid Method for Face Recognition using LLS CLAHE Method,"International Journal of Computer Applications (0975 – 8887)
-Volume 152 – No.7, October 2016
-A Hybrid Method for Face Recognition using LLS
-CLAHE Method
-Mohandas College of Engineering and
-A. Thamizharasi
-Assistant Professor,
-Department of Computer
-Science & Engineering,
-Technology,
-Anad, Nedumangad P.O.,
-Trivandrum, Kerala, India"

 ad88fcfd12b62d607259db8d98e2a1a0a9642ca0,Real-time tracking-with-detection for coping with viewpoint change,"Real-Time Tracking-with-Detection for Coping With Viewpoint Change
 Shaul Oron · Aharon Bar-Hillel · Shai Avidan
 Received: 11 May 2014 / Revised: 02 Nov 2014 / Accepted: 09 Mar 2015"

@@ -161,21 +137,9 @@ Alex M. Bronstein
 Michael M. Bronstein
 Pablo Sprechmann
 Guillermo Sapiro"

-ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa,FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images,"FusionNet and AugmentedFlowNet:
-Selective Proxy Ground Truth
-for Training on Unlabeled Images
-Osama Makansi*, Eddy Ilg*, and Thomas Brox
-University of Freiburg, Germany"

 ad6bcf4384a7604b6252a6eeefade4c486b01240,Cluster-Based Distributed Face Tracking in Camera Networks,"Cluster-Based Distributed Face Tracking in Camera
 Networks
 Josiah Yoder, Henry Medeiros, Johnny Park, and Avinash C. Kak"

-adb2d1e241933ef363bcf03d865a9219d2911780,Classification of Age from Facial Features of Humans,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
-Classification of Age from Facial Features of
-Poonam Shirode1, S. M. Handore2
-, 2Department of E&TC, K.J’s Educational Institute’s TCOER, Pune, Maharashtra, India
-Humans"

 ad8642e186c5c81d06934d4e6fc249b7cbca40e8,Learning Transferable Architectures for Scalable Image Recognition,"Learning Transferable Architectures for Scalable Image Recognition
 Barret Zoph
 Google Brain
@@ -233,20 +197,6 @@ psychophysical paradigm for investigating motor contributions to expression perc
 some of the limitations inherent in simple labeling and rating tasks. Observers were asked to judge
 whether smiles drawn from a morph continuum were sincere or insincere, in the presence or absence of
 motor load induced by the concurrent production of vowel sounds. Having confirmed that smile"

-040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor , Log Gabor Filters and PCA","International Journal of Computer Applications (0975 – 8887)
-Volume 113 – No. 4, March 2015
-Facial Expression Recognition for Color Images using
-Gabor, Log Gabor Filters and PCA
-Shail Kumari Shah
-PG Scholar,
-Computer Engg. Dept.
-Vineet Khanna
-Assistant Professor,
-Computer Engg. Dept.
-Rajasthan College of Engineering for Women
-Rajasthan Technical University, Jaipur, India
-Rajasthan College of Engineering for Women
-Rajasthan Technical University, Jaipur, India"

 04cb43806ca57040100b33af0781e4331f8daa56,Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection,"Long-term Multi-granularity Deep Framework
 for Driver Drowsiness Detection
 Jie Lyu
@@ -258,15 +208,6 @@ Xi’an Jiaotong University
 Email:
 Email:
 Email:"

-0410659b6a311b281d10e0e44abce9b1c06be462,"A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning","A Gift from Knowledge Distillation:
-Fast Optimization, Network Minimization and Transfer Learning
-Junho Yim1
-Donggyu Joo1
-Jihoon Bae2
-Junmo Kim1
-School of Electrical Engineering, KAIST, South Korea
-Electronics and Telecommunications Research Institute
-{junho.yim, jdg105,"

 047d7cf4301cae3d318468fe03a1c4ce43b086ed,Co-Localization of Audio Sources Using Binaural Features and Locally-Linear Regression,"Co-Localization of Audio Sources in Images Using
 Binaural Features and Locally-Linear Regression
 Antoine Deleforge, Radu Horaud, Yoav Y. Schechner, Laurent Girin
@@ -374,26 +315,6 @@ August 2002
 04e5d374c10b70a74d79070103cab1f362b113ba,"DeepHash: Getting Regularization, Depth and Fine-Tuning Right","DeepHash: Getting Regularization, Depth and Fine-Tuning Right
 Jie Lin∗,1,3, Olivier Mor`ere∗,1,2,3, Vijay Chandrasekhar1,3, Antoine Veillard2,3, Hanlin Goh1,3
 I2R1, UPMC2, IPAL3"

-0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f,A Customized Vision System for Tracking Humans Wearing Reflective Safety Clothing from Industrial Vehicles and Machinery,"Sensors 2014, 14, 17952-17980; doi:10.3390/s141017952
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Article
-A Customized Vision System for Tracking Humans
-Wearing Reflective Safety Clothing from Industrial
-Vehicles and Machinery
-Rafael Mosberger *, Henrik Andreasson and Achim J. Lilienthal
-AASS Research Centre, Örebro University, 70182 Örebro, Sweden;
-E-Mails: (H.A.); (A.J.L.)
-* Author to whom correspondence should be addressed; E-Mail:
-Tel.: +46-1930-1113; Fax: +46-1930-3463.
-External Editor: Vittorio M.N. Passaro
-Received: 8 July 2014; in revised form: 5 September 2014 / Accepted: 9 September 2014 /
-Published: 26 September 2014"

-04741341e26bdcd9ed1de18e5a95c31d7b64fa36,Adversarial Action Prediction Networks,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, FEBRUARY 2018
-Adversarial Action Prediction Networks
-Yu Kong, Member, IEEE, Zhiqiang Tao, Student Member, IEEE and Yun Fu, Senior Member, IEEE"

 0485e96bb0c1276fe2a27271b939b6e67997acfc,Active Learning for Structured Probabilistic Models,"Active Learning for Structured Probabilistic Models
 Qing Sun
 Virginia Tech
@@ -445,15 +366,6 @@ Using DCT for Face Detection
 Radovan Fusek, Eduard Sojka, Karel Mozdˇreˇn, and Milan ˇSurkala
 Technical University of Ostrava, FEECS, Department of Computer Science,
 7. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic"

-04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,"International Journal of Innovations in Engineering and Technology (IJIET)
-Color Local Texture Features Based Face
-Recognition
-Priyanka V. Bankar
-Department of Electronics and Communication Engineering
-SKN Sinhgad College of Engineering, Korti, Pandharpur, Maharashtra, India
-Department of Electronics and Communication Engineering
-SKN Singhgad College of Engineering, Korti, Pandharpur, Maharashtra, India
-Anjali C. Pise"

 044600cc4b93bb0504e8d72a5476d16f1a61a107,Discriminant Analysis of Principal Components for Face Recognition,"DiscriminantAnalysisofPrincipalComponentsforFace
 Recognition(cid:3)
 W.Zhao
@@ -479,26 +391,6 @@ Socio-affective touch expression database
 Haemy Lee Masson*, Hans Op de Beeck*
 Department of Brain and Cognition, KU Leuven, Leuven, Belgium
 * (HLM); (HOB)"

-0435a34e93b8dda459de49b499dd71dbb478dc18,"VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks","VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification
-Using Convolutional Neural Networks
-Ayesha Gurnani£1, Vandit Gajjar£1, Viraj Mavani£1, Yash Khandhediya£1
-Department of Electronics and Communication Engineering and
-Computer Vision Group, L. D. College of Engineering, Ahmedabad, India
-{gurnani.ayesha.52, gajjar.vandit.381, mavani.viraj.604,
-the  need  for  handcrafted  facial  descriptors  and  data
-preprocessing.  D-CNN  models  have  been  not  only
-successfully  applied  to  human  face  analysis,  but  also  for
-the visual saliency detection [21, 22, 23]. Visual Saliency
-is  fundamentally  an  intensity  map  where  higher  intensity
-signifies  regions,  where  a  general  human  being  would
-look, and lower intensities mean decreasing level of visual
-ttention.  It’s  a  measure  of  visual  attention  of  humans
-ased  on  the  content  of  the  image.  It  has  numerous
-pplications  in  computer  vision  and  image  processing
-tasks. It is still an open problem when considering the MIT
-Saliency Benchmark [24].
-In  previous  five  years,  considering  age  estimation,
-gender  classification  and  facial  expression  classification"

 0447bdb71490c24dd9c865e187824dee5813a676,Manifold Estimation in View-based Feature Space for Face Synthesis Across Pose Paper 27,"Manifold Estimation in View-based Feature
 Space for Face Synthesis Across Pose
 Paper 27"

@@ -582,9 +474,6 @@ descriptor
 Walid AYEDI1,2, Hichem SNOUSSI1, Fethi SMACH2 and Mohamed ABID2
 Charles Delaunay Institute (FRE CNRS 2848), University of Technology of Troyes, 10010 Troyes, France
 Sfax University, National Engineering School of Sfax, 3052 Sfax, Tunisia"

-04adf2e51df06a03b6decf520b0952a54a538a18,Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices,"Randomized Robust Subspace Recovery for High Dimensional
-Data Matrices
-Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE"

 047f8d5d5134dd12c67038623417f05ab9885056,Motion Synthesis In : Static Scan + Expression Out : Best Fitting Sequence + Angry Out : Animated Sequence Statistical Analysis Expression Recognition,"D Faces in Motion: Fully Automatic Registration and Statistical Analysis
 Timo Bolkarta,∗, Stefanie Wuhrera
 Saarland University, Saarbr¨ucken, Germany"

@@ -594,27 +483,12 @@ Marc-Andr´e Carbonneau∗
 Veronika Cheplygina†
 Eric Granger∗
 Ghyslain Gagnon‡"

-04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,"Harvesting Social Images for Bi-Concept Search
-Xirong Li, Cees G. M. Snoek, Senior Member, IEEE, Marcel Worring, Member, IEEE, and
-Arnold W. M. Smeulders, Member, IEEE"

 0480b458439069687ec41c90178ba7e9a056bcca,Gender Classification Using Gradient Direction Pattern,"Sci.Int(Lahore),25(4),797-799,2013
 ISSN 1013-5316;  CODEN: SINTE 8
 GENDER CLASSIFICATION USING GRADIENT DIRECTION PATTERN
 Department of Computer Science, School of Applied Statistics,
 National Institute of Development Administration, Bangkok, Thailand.
 Mohammad Shahidul Islam"

-04f55f81bbd879773e2b8df9c6b7c1d324bc72d8,Multi-view Face Analysis Based on Gabor Features,"Multi-view Face Analysis Based on Gabor Features
-Hongli Liu，  Weifeng Liu，  Yanjiang Wang
-College of Information and Control Engineering in China University of Petroleum,
-Qingdao 266580, China"

-04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,"Video retrieval based on deep convolutional
-neural network
-Yajiao Dong
-School of Information and Electronics,
-Beijing Institution of Technology, Beijing, China
-Jianguo Li
-School of Information and Electronics,
-Beijing Institution of Technology, Beijing, China"

 041ac91c85276f61bec3f0f3c42782e4f9a31f88,Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform,"Detailed Dense Inference with Convolutional Neural Networks
 via Discrete Wavelet Transform
 Lingni Ma1, J¨org St¨uckler2, Tao Wu1 and Daniel Cremers1"

@@ -652,15 +526,6 @@ Zeeshan Hayder1,2, Xuming He2,1
 Australian National University & 2Data61/CSIRO ∗
 Mathieu Salzmann2,3
 CVLab, EPFL, Switzerland"

-9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,"Search Based Face Annotation Using PCA and
-Unsupervised Label Refinement Algorithms
-Shital Shinde1, Archana Chaugule2
-Computer Department, Savitribai Phule Pune University
-D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18
-Mahatma Phulenagar, 120/2 Mahaganpati soc, Chinchwad, Pune-19, MH, India
-D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18
-Computer Department, D.Y.PIET, Pimpri, Pune-18, MH, India
-presents"

 9da2b79c6942852e8076cdaa4d4c93eb1ae363f1,Constraint-Based Visual Generation,"Constraint-Based Visual Generation
 Giuseppe Marra
 Francesco Giannini
@@ -718,10 +583,6 @@ Using 3D Thermal Sensing
 Ariel Kapusta and Patrick Beeson
 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
 August, 30, 2016"

-9d9d496565c68a2d0ba5026aa527215ac5f82e23,Generating Discriminating Cartoon Faces Using Interacting Snakes,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 11, NOVEMBER 2003
-Generating Discriminating Cartoon Faces
-Using Interacting Snakes
-Rein-Lien Hsu, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

 9d0ceae3747467488ba914cb2ca5b30ac3032286,Modèles graphiques probabilistes pour la reconnaissance de formes. (Probabilistic graphical models for shape recognition),"Modèles graphiques probabilistes pour la reconnaissance
 de formes
 Sabine Barrat
@@ -816,9 +677,6 @@ Cheng-Yang Fu Mykhailo Shvets Alexander C. Berg
 Computer Science Department of
 UNC at Chapel Hill
 {cyfu, mshvets,"

-9d4c05c7c9284c8e303641b95e997f11df2dd1a7,Misalignment-robust Face Recognition via Efficient Locality-constrained Representation,"Misalignment-robust Face Recognition via Effi-
-ient Locality-constrained Representation
-Yandong Wen, Weiyang Liu, Meng Yang, Member, IEEE, Yuli Fu, Zhifeng Li, Senior Member, IEEE"

 9d8fd639a7aeab0dd1bc6eef9d11540199fd6fe2,EARNING TO C LUSTER,"Workshop track - ICLR 2018
 LEARNING TO CLUSTER
 Benjamin B. Meier, Thilo Stadelmann & Oliver D¨urr
@@ -855,10 +713,6 @@ Luc van Gool1,3
 ETH Z¨urich
 Kooaba AG
 K.U. Leuven"

-9da9ee38d5845d39497b10b0ab442580e75ee4d3,Dynamic Video Segmentation Network,"Dynamic Video Segmentation Network
-Yu-Syuan Xu, Tsu-Jui Fu∗, Hsuan-Kung Yang∗, Student Member, IEEE and Chun-Yi Lee, Member, IEEE
-Elsa Lab, Department of Computer Science, National Tsing Hua Uiversity
-{yusean0118, rayfu1996ozig,"

 9d518344d5c7d889f9c90c6193be4757fa584770,3 D registration based on a multi-references local parametrisation : Application to 3 D faces,"D registration based on a multi-references local parametrisation:
 Application to 3D faces
 Wieme Gadacha1, Faouzi Ghorbel1
@@ -945,11 +799,6 @@ P. Sumathi
 R. Manickachezian
 Associate Professor, Research Department of Computer Science,
 NGM College, Pollachi, Coimbatore, Tamil Nadu, India."

-c22aa66b2fad7ed31252b5e6276a0df371c57b4c,The neural network image captioning model based on adversarial training,"The neural network image captioning model based on
-dversarial training
-K P Korshunova1
-The Branch of  National Research University ""Moscow Power Engineering Institute"" in
-Smolensk, Russia"

 c231d8638e8b5292c479d20f7dd387c53e581a1a,Multi-View Data Generation Without View Supervision,"MULTI-VIEW DATA GENERATION WITHOUT VIEW
 SUPERVISION
 Micka¨el Chen, Ludovic Denoyer
@@ -983,26 +832,6 @@ Subscriptions:
 http://jcn.sagepub.com/subscriptions
 Reprints:
 http://www.sagepub.com/journalsReprints.nav"

-c2d065bc8067384c40b3e8146cadc9a0c4c1d633,SLC25A12 expression is associated with neurite outgrowth and is upregulated in the prefrontal cortex of autistic subjects,"& 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00
-www.nature.com/mp
-ORIGINAL ARTICLE
-SLC25A12 expression is associated with neurite
-outgrowth and is upregulated in the prefrontal cortex
-of autistic subjects
-A-M Lepagnol-Bestel1, G Maussion1, B Boda2, A Cardona3, Y Iwayama4, A-L Delezoide5, J-M Moalic1,
-D Muller2, B Dean6, T Yoshikawa4,7, P Gorwood1, JD Buxbaum8,9, N Ramoz1 and M Simonneau1
-INSERM U675, IFR2, Faculte´ de Me´ decine Xavier Bichat, Paris, France; 2Department of Basic Neuroscience, Centre Medical
-Universitaire, Geneva, Switzerland; 3Histotechnology and Pathology Unit, Institut Pasteur, Paris, France; 4Laboratory for
-AP-HP, Paris, France; 6The Rebecca L Cooper Research Laboratories, Mental Health Research Institute of Victoria, Parkville,
-VIC, Australia; 7CREST, Japan Science and Technology Agency, Saitama, Japan; 8Department of Psychiatry, Mount Sinai
-School of Medicine, New York, NY, USA and 9Department of Neuroscience, Mount Sinai School of Medicine, New York,
-NY, USA
-in the BA46 prefrontal cortex but not
-Autism is a neurodevelopmental disorder with a strong genetic component, probably involving
-several genes. Genome screens have provided evidence of linkage to chromosome 2q31–q33,
-which includes the SLC25A12 gene. Association between autism and single-nucleotide
-polymorphisms in SLC25A12 has been reported in various studies. SLC25A12 encodes the
-mitochondrial aspartate/glutamate carrier functionally important"

 c2fb2cb5487ad404b8e66daf74198496c40bef32,Learning to Transfer Privileged Information,"Learning to Transfer Privileged Information
 Viktoriia Sharmanska1∗, Novi Quadrianto2, and Christoph Lampert1,
 Institute of Science and Technology Austria, Austria
@@ -1027,12 +856,6 @@ in the joint-trajectories space. Our view-invariant recognition system has the f
 (1) Given a labeled Mocap sequences with M markers in 3D, which is a 3M -dimensional sequential
 data, the low dimensional manifold structure (i.e., geodesics distance, intrinsic dimensionality, etc)
 is learnt by using Tensor Voting. This is an offline process, as shown in Fig. 1."

-c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Crystal Loss and Quality Pooling for
-Unconstrained Face Verification and Recognition
-Rajeev Ranjan, Member, IEEE, Ankan Bansal, Hongyu Xu, Member, IEEE,
-Swami Sankaranarayanan, Member, IEEE, Jun-Cheng Chen, Member, IEEE,
-Carlos D Castillo, Member, IEEE, and Rama Chellappa, Fellow, IEEE"

 c2f2c89d7615df07b540748d6c53485c4cbfa9c0,An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing,"An Experience Report on Requirements-Driven
 Model-Based Synthetic Vision Testing
 Markus Murschitz and Oliver Zendel and Martin Humenberger
@@ -1061,10 +884,6 @@ c2cb38fc68b877a96be99b814e8ee437e585f5b2,Mining on Manifolds: Metric Learning wi
 Ahmet Iscen1 Giorgos Tolias1 Yannis Avrithis2 Ondˇrej Chum1
 VRG, FEE, CTU in Prague
 Inria Rennes"

-c238f871c029d8c33949f8410f8cf3bf79ffc102,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,"No Blind Spots: Full-Surround Multi-Object
-Tracking for Autonomous Vehicles using
-Cameras & LiDARs
-Akshay Rangesh, Member, IEEE, and Mohan M. Trivedi, Fellow, IEEE"

 c2e9300b0e72dca0b95ccd4181fc2a7a5178dea7,Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions.,"Improving Bilayer Product Quantization
 for Billion-Scale Approximate Nearest Neighbors in High
 Dimensions
@@ -1129,9 +948,6 @@ EM LCT
 Universit`a degli Studi di Trento
 Raffaella Bernardi
 CIMeC, DISI"

-3f14b504c2b37a0e8119fbda0eff52efb2eb2461,Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach,"Joint Facial Action Unit Detection and Feature
-Fusion: A Multi-Conditional Learning Approach
-Stefanos Eleftheriadis, Ognjen Rudovic, Member, IEEE, and Maja Pantic, Fellow, IEEE"

 3fd90098551bf88c7509521adf1c0ba9b5dfeb57,Attribute-Based Classification for Zero-Shot Visual Object Categorization,"Page 1 of 21
 *****For Peer Review Only*****
 Attribute-Based Classification for Zero-Shot
@@ -1287,10 +1103,6 @@ lthough some heterogeneous configurations yield better throughput and per-progr
 homogeneous designs, some homogeneous configurations are optimal for particular throughput versus per-
 program performance trade-offs. Two core types provide most of the benefits from heterogeneity and a larger
 number of core types does not contribute much; job-to-core mapping is both important and challenging for"

-3fb689c0f1db224d53d9fdaee578d3ff8522f807,"Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking","Integrating Motion, Illumination, and Structure
-in Video Sequences with Applications in
-Illumination-Invariant Tracking
-Yilei Xu, Student Member, IEEE, and Amit K. Roy-Chowdhury, Member, IEEE"

 3f44352b857f2fc18c18c5ebb2cbf994ee22f44c,Humanist computing for knowledge discovery from ordered datasets,"HumanistComputingforKnowledgeDiscovery
 fromOrderedDatasets
 JonathanMichaelRossiter
@@ -1322,10 +1134,6 @@ Evan Racah1, Christopher Beckham2, Tegan Maharaj2
 Prabhat1, Christopher Pal2
 Lawrence Berkeley National Lab, Berkeley, CA,
 ´Ecole Polytechnique de Montr´eal,"

-3fbd68d1268922ee50c92b28bd23ca6669ff87e5,A shape- and texture-based enhanced Fisher classifier for face recognition,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 10, NO. 4, APRIL 2001
-A Shape- and Texture-Based Enhanced Fisher
-Classifier for Face Recognition
-Chengjun Liu, Member, IEEE, and Harry Wechsler, Fellow, IEEE"

 3faff93758fe7fc58b3832055cb15c6ca3f306a7,Evaluation of multi feature fusion at score-level for appearance-based person re-identification,"Evaluation of Multi Feature Fusion at Score-Level
 for Appearance-based Person Re-Identification
 Markus Eisenbach
@@ -1349,12 +1157,6 @@ degree of Doctor of Philosophy
 Faculty of Science and Engineering
 The Department of Computing and Mathematics
 October 2010"

-3f40c1d8c2fe5d416ffca93049d3f3539fb52079,Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms,"SAMPLE-LEVEL CNN ARCHITECTURES FOR MUSIC AUTO-TAGGING
-USING RAW WAVEFORMS
-Taejun Kim1, Jongpil Lee2, Juhan Nam2
-School of Electrical and Computer Engineering, University of Seoul,
-Graduate School of Culture Technology, KAIST,
-{richter,"

 e5eb7fa8c9a812d402facfe8e4672670541ed108,Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor,"Performance of PCA Based Semi-supervised
 Learning in Face Recognition Using MPEG-7
 Edge Histogram Descriptor
@@ -1385,18 +1187,6 @@ Interested in publishing with us?
 Contact"

 e5320955580401d5a5b2ae8b507e8f0b47e08118,Deep Supervision with Intermediate Concepts,"Deep Supervision with Intermediate Concepts
 Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, and Manmohan Chandraker"

-e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,"WWW.IJITECH.ORG
-ISSN 2321-8665
-Vol.03,Issue.05,
-July-2015,
-Pages:0700-0706
-Object Recognition using Discriminative Robust Local Binary Pattern
-T. LAVANYA
-, A. SUJATHA
-PG Scholar, Dept of DE & CS, Dr.K.V.Subba Reddy Engineering College for Women, AP, India,
-Associate Professor, Dept of DE & CS, Dr.K.V.Subba Reddy Engineering College for Women, AP, India,
-E-mail:
-E-mail:"

 e58f08ad6e0edd567f217ef08de1701a8c29fcc8,Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back,"Pseudo-task Augmentation: From Deep Multitask
 Learning to Intratask Sharing—and Back
 Elliot Meyerson 1 2 Risto Miikkulainen 1 2"

@@ -1474,12 +1264,6 @@ AJE= ==Fœ EJ=L	JAA	I =H?FAI
 6	=LAAJfi 5=J
HO
 BH=JE= 2D, D=C=J
 -6- 66 1BH
?EI 6=I	"

-e545f1c06799bfd2bd5f7eaed085fd60a388202f,A top-down manner-based DCNN architecture for semantic image segmentation,"RESEARCH ARTICLE
-A top-down manner-based DCNN
-rchitecture for semantic image
-segmentation
-Kai Qiao, Jian Chen, Linyuan Wang, Lei Zeng, Bin Yan*
-National Digital Switching System Engineering and Technological Research Centre, Zhengzhou, China"

 e525ba29497bab9b530ea7b056dd0128be22c48a,Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.,"Tencent ML-Images: A Large-Scale Multi-Label
 Image Database for Visual Representation
 Learning
@@ -1503,21 +1287,6 @@ Radu Timofte
 ETH Zurich, Merantix
 Luc Van Gool
 ETH Zurich, KU Leuven"

-e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,"Journal of Advanced Computer Science and Technology, 1 (4) (2012) 266-283
-(cid:13)Science Publishing Corporation
-www.sciencepubco.com/index.php/JACST
-Face Recognition using Block-Based
-DCT Feature Extraction
-K Manikantan1, Vaishnavi Govindarajan1,
-V V S Sasi Kiran1, S Ramachandran2
-Department of Electronics and Communication Engineering,
-M S Ramaiah Institute of Technology, Bangalore, Karnataka, India 560054
-E-mail:
-E-mail:
-E-mail:
-Department of Electronics and Communication Engineering,
-S J B Institute of Technology, Bangalore, Karnataka, India 560060
-E-mail:"

 e56c4c41bfa5ec2d86c7c9dd631a9a69cdc05e69,Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art,"Human Activity Recognition Based on Wearable
 Sensor Data: A Standardization of the
 State-of-the-Art
@@ -1525,15 +1294,6 @@ Artur Jord˜ao, Antonio C. Nazare Jr., Jessica Sena and William Robson Schwartz
 Smart Surveillance Interest Group, Computer Science Department
 Universidade Federal de Minas Gerais, Brazil
 Email: {arturjordao, antonio.nazare, jessicasena,"

-e5346a581ade62e1ac4b272d26d340fe78b58faa,Weakly Supervised Semantic Segmentation Using Web-Crawled Videos,"Weakly Supervised Semantic Segmentation using Web-Crawled Videos
-Seunghoon Hong† Donghun Yeo† Suha Kwak‡ Honglak Lee§ Bohyung Han†
-POSTECH
-Pohang, Korea
-{maga33, hanulbog,
-DGIST
-Daegu, Korea
-§University of Michigan
-Ann Arbor, MI, USA"

 e564268a03b21fa092390db0c11ba1c33d2323f9,Multi-view Stereo with Single-View Semantic Mesh Refinement,"Multi-View Stereo with Single-View Semantic Mesh Refinement
 Andrea Romanoni Marco Ciccone
 Francesco Visin Matteo Matteucci
@@ -1634,26 +1394,6 @@ Julien Meynet · Vlad Popovici ·
 Jean-Philippe Thiran
 Received: 12 October 2006 / Revised: 12 January 2007 / Accepted: 12 January 2007 / Published online: 3 March 2007
 © Springer-Verlag London Limited 2007"

-a48c71153265d6da7fbc4b16327320a5cbfa6cba,Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material,"Unite the People: Closing the loop between 3D and 2D Human Representations
-Supplementary Material
-Christoph Lassner1,2
-Javier Romero2
-Martin Kiefel2
-Federica Bogo2,3
-Michael J. Black2
-Peter V. Gehler1,2
-Bernstein Center for Comp. Neuroscience1
-Max-Planck Institute for Intelligent Systems2
-Microsoft3
-Otfried-M¨uller-Str. 25, T¨ubingen
-Spemannstr. 41, T¨ubingen
-1 Station Rd., Cambridge
-. Introduction
-We have obtained human segmentation labels to inte-
-grate shape information into the SMPLify 3D fitting pro-
-edure and for the evaluation of methods introduced in the
-main paper. The labels consist of foreground segmentation
-for multiple human pose datasets and six body part segmen-"

 a4f345a8a7b3d5933282cb7fa641b2957ca89113,Comparison of focus measures in face detection environments,"+2)415 . .+75 -)574-5 1 .)+- ,-6-+61
 -814-65
  HA  ,AE  +=IJHE + /KAHH=
@@ -1819,18 +1559,6 @@ a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b,Facial Landmark Machines: A Backbone-Br
 Architecture with Progressive Representation
 Learning
 Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang and Liang Lin"

-a41581276c5d6206ce79c1c7b319556de0d15234,Couch potato or gym addict ? Semantic lifestyle profiling with wearables and fuzzy knowledge graphs,"Couch potato or gym addict? Semantic lifestyle
-profiling with wearables and fuzzy knowledge graphs
-Natalia Díaz-Rodríguez∗
-U2IS, ENSTA ParisTech, France
-Aki Härmä and Rim Helaoui
-Philips Research, Eindhoven, Netherlands
-{aki.harma,
-Ignacio Huitzil and Fernando Bobillo
-I3A, University of Zaragoza, Spain
-{ihuitzil,
-Umberto Straccia
-ISTI-CNR, Pisa, Italy"

 a45450824c6e8e6b42fd9bbf52871104b6c6ce8b,Optimizing the Latent Space of Generative Networks,"Optimizing the Latent Space of Generative Networks
 Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam
 {bojanowski, ajoulin, dlp,
@@ -1884,15 +1612,6 @@ The Netherlands
 P.O. Box 513
 5600 MB Eindhoven
 The Netherlands"

-a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0,A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS,"A S RAJA AND V JOSEPH RAJ: A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS
-DOI: 10.21917/ijivp.2012.0064
-A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT
-USING NEURAL NETWORK BASED SELF ORGANIZING MAPS
-A. S. Raja1 and V. Joseph Raj2
-Sathyabama University, India
-E-mail:
-Department of Computer Science, Kamaraj College, India
-E-mail:"

 a481de6e9a7303784a7492ede7a7f055be7bc831,Egocentric Audio-Visual Scene Analysis. A Machine Learning and Signal Processing Approach. (Analyse Égocentrique de Scènes Audio-Visuelles. Une approche par Apprentissage Automatique et Traitement du Signal),"Egocentric Audio-Visual Scene Analysis : a machine
 learning and signal processing approach
 Xavier Alameda-Pineda
@@ -1933,32 +1652,6 @@ Anonymous CVPR submission
 Paper ID 1387"

 bc995457cf5f4b2b5ef62106856571588d7d70f2,Comparison of Maximum Likelihood and GAN-based training of Real NVPs,"Comparison of Maximum Likelihood and GAN-based training of Real NVPs
 Ivo Danihelka 1 2 Balaji Lakshminarayanan 1 Benigno Uria 1 Daan Wierstra 1 Peter Dayan 3"

-bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,"The Development of an Interaction
-Support System for International
-Distance Education
-Hsiu-Ping Yueh, Member, IEEE,
-Weijane Lin, Member, IEEE, Yi-Lin Liu,
-Tetsuo Shoji, and Michihiko Minoh, Member, IEEE"

-bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.8 AUGUST 2017
-LETTER
-Trajectory-Set Feature for Action Recognition
-Kenji MATSUI†, Nonmember, Toru TAMAKI†a), Member, Bisser RAYTCHEV†, Nonmember,
-nd Kazufumi KANEDA†, Member
-SUMMARY We propose a feature for action recognition called
-Trajectory-Set (TS), on top of the improved Dense Trajectory (iDT).
-The TS feature encodes only trajectories around densely sampled inter-
-est points, without any appearance features. Experimental results on the
-UCF50 action dataset demonstrates that TS is comparable to state-of-the-
-rts, and outperforms iDT; the accuracy of 95.0%, compared to 91.7% by
-key words: action recognition, trajectory, improved Dense Trajectory
-the two-stream CNN [2] that uses a single frame and a opti-
-al flow stack. In their paper stacking trajectories was also
-reported but did not perform well, probably the sparseness
-of trajectories does not fit to CNN architectures. In contrast,
-we take a hand-crafted approach that can be fused later with
-CNN outputs.
-Introduction
-Action recognition has been well studied in the computer"

 bcaa5fab589d95890d539a3119657fa253176f0d,"THE PROBLEM : MID-RANGE FR AT NIGHT No Active Illumination Night Time 120 meters Evaluating the Efficiency of a Night-Time , Middle-Range Infrared Sensor for Applications in Human Detection and Recognition","THE PROBLEM: MID-RANGE FR AT NIGHT
 No Active Illumination
 NIR Led Illuminator
@@ -2063,13 +1756,6 @@ Categorisation. In Proceedings International Conference on Biometrics
 This is the author-manuscript version of this work - accessed from
 http://eprints.qut.edu.au
 Copyright 2007 Springer"

-bc6de183cd8b2baeebafeefcf40be88468b04b74,Age Group Recognition using Human Facial Images,"Age Group Recognition using Human Facial Images
-International Journal of Computer Applications (0975 – 8887)
-Volume 126 – No.13, September 2015
-Shailesh S. Kulkarni
-Dept. of Electronics and Telecommunication
-Government College of Engineering,
-Aurangabad, Maharashtra, India"

 bc15e0ebe7ff84e090aa2d74d753d87906d497f7,The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments,"The Impact of Preprocessing on Deep
 Representations for Iris Recognition on
 Unconstrained Environments
@@ -2096,16 +1782,6 @@ Caegie e
 ib	gh A 15213
 ib	gh A 15260
 ib	gh A 15213"

-bc9c4b5379469a03415b5b35f8b627b2fbdbe967,Face Illumination Processing Using Wavelet Transform and Gradientfaces,"016 Joint International Conference on Artificial Intelligence and Computer Engineering (AICE 2016) and
-International Conference on Network and Communication Security (NCS 2016)
-ISBN: 978-1-60595-362-5
-Face Illumination Processing Using Wavelet
-Transform and Gradientfaces
-Xue HE1,a, Zhi-jun YANG1,b, Xiang-fei NIE1,c,*
-College of Electronic and Information Engineering,
-Chongqing Three Gorges University, Chongqing, China
-*Corresponding author
-Keywords: Face Illumination Processing, Wavelet Transform, Gradientfaces, Face Recognition."

 bc8bd3f5653165809af3d4525f266219add4d132,Symbolic principal component for interval-valued observations,

 bc40057335e589c30e0b6c7b71685ef0433b5af5,"Recounting ( MER ) , Surveillance Event Detection ( SED ) , and Semantic Indexing ( SIN ) Systems","IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED),
 Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic
@@ -2140,26 +1816,6 @@ Department of Electrical Engineering, Universidad de Chile"
 8a866bc0d925dfd8bb10769b8b87d7d0ff01774d,WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art,"WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art
 Saif M. Mohammad and Svetlana Kiritchenko
 National Research Council Canada"

-8a92d17cff2096336796232e4e42bb11c590629d,Color Face Recognition Based on Curvelet Transform Ayşegül UÇAR,"Color Face Recognition Based on Curvelet Transform
-Department Mechatronics Engineering, University Firat, Elazığ, Turkey, e-mail:
-Ayşegül UÇAR
-denoising,
-ompression and texture classification [4, 7-9].
-image  enhancement,
-image
-fusion,
-image
-for  color
-Color  information provides  useful  information in  image
-processing  applications.  Some  recent  researches  have  been
-shown that face color information has considerably enhanced
-the  performance  with  respect  to  gray-scale  face  recognition
-[10-12]. In [10], it was interrogated what kind of color space is
-suitable
-recognition  and  presented  a
-discriminant  color  space  method.  In  [11],  it  was  applied  the
-Principal Component Analysis (PCA) at various color spaces
-such as HSV, RGB, YCbCr, YCgCr, and YUV and analyzed"

 8a12ee3c98b76d99531d5965f15bb77a10ec2569,Holistic Face Recognition through Multivariate Analysis and Genetic Algorithms,"Holistic Face Recognition through Multivariate Analysis and Genetic
 Algorithms"

 8acb55a72c4d6eae528a99e571b4a24d51f57fe6,Toward Crowd-Sensitive Path Planning,"Toward Crowd-Sensitive Path Planning
@@ -2170,9 +1826,6 @@ New York, NY 10065"
 Benjamin Eysenbach
 Carl Vondrick
 Antonio Torralba"

-8a0538eb80b5d41c0e5991aceeef47db01603033,Proposal Flow: Semantic Correspondences from Object Proposals,"Proposal Flow: Semantic Correspondences from
-Object Proposals
-Bumsub Ham, Member, IEEE, Minsu Cho, Cordelia Schmid, Fellow, IEEE and Jean Ponce, Fellow, IEEE"

 8a02a0517b841b53fba478a851948b86869a0582,Fast Neural Networks with Circulant Projections,"Fast Neural Networks with Circulant Projections
 Yu Cheng∗, Felix X. Yu∗, Rogerio S. Feris,
 Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang"

@@ -2229,12 +1882,6 @@ State Key Lab. of Intelligent Technology and Systems
 Tsinghua National Laboratory for Information Science and Technology (TNList)
 Department of Computer Science and Technology, Tsinghua University 2Intel Labs China
 {anbang.yao,"

-8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,"Domain-Specific Face Synthesis for Video Face
-Recognition From a Single Sample Per Person
-Fania Mokhayeri
-, Student Member, IEEE, Eric Granger
-, Member, IEEE,
-nd Guillaume-Alexandre Bilodeau , Member, IEEE"

 8aae23847e1beb4a6d51881750ce36822ca7ed0b,Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron,"Comparison Between Geometry-Based and Gabor-Wavelets-Based
 Facial Expression Recognition Using Multi-Layer Perceptron
 Zhengyou Zhang
@@ -2252,9 +1899,6 @@ MTA SZTAKI, Institute for Computer Science and Control
 {varga.domonkos,
 Budapest University of Technology and Economics, Department of Networked Systems and Services
 Budapest University of Technology and Economics, Department of Material Handling and Logistics Systems"

-8a91ad8c46ca8f4310a442d99b98c80fb8f7625f,2D Segmentation Using a Robust Active Shape Model With the EM Algorithm,"D Segmentation Using a Robust Active
-Shape Model With the EM Algorithm
-Carlos Santiago, Jacinto C. Nascimento, Member, IEEE, and Jorge S. Marques"

 8a91cb96dd520ba3e1f883aa6d57d4d716c5d1c8,Low Cost Eye Tracking: The Current Panorama,"Hindawi Publishing Corporation
 Computational Intelligence and Neuroscience
 Volume 2016, Article ID 8680541, 14 pages
@@ -2275,15 +1919,6 @@ tracking constitutes an interesting alternative by allowing scalability and remo
 field has seen examples of research showing performance comparable to the IR alternatives. In this work, we survey the previous
 work on remote, visible light gaze trackers and analyze the explored techniques from various perspectives such as calibration
 strategies, head pose invariance, and gaze estimation techniques. We also provide information on related aspects of research such"

-8a77025bde5479a1366bb93c6f2366b5a6293720,Sharp Attention Network via Adaptive Sampling for Person Re-identification,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, XX 2018
-Sharp Attention Network via Adaptive Sampling
-for Person Re-identification
-Chen Shen, Guo-Jun Qi, Member, IEEE, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen,
-nd Xian-Sheng Hua, Fellow, IEEE"

-8ab183883acba0501c3315a914aee755b5e517d8,Synthesis-based Robust Low Resolution Face Recognition,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. X, NO. X, MONTH 20XX
-Synthesis-based Robust Low Resolution Face
-Recognition
-Sumit Shekhar, Student Member, IEEE, Vishal M. Patel, Member, IEEE, and Rama Chellappa, Fellow, IEEE"

 8ab16c26678245ef009cbbf87d750cfd18e21572,A Wearable Ultrasonic Obstacle Sensor for Aiding Visually Impaired and Blind Individuals,"A Wearable Ultrasonic Obstacle Sensor for Aiding Visually Impaired and Blind Individuals
 {tag}                                                                                   {/tag}
 IJCA Proceedings on National Conference on
@@ -2385,11 +2020,6 @@ January 2006
 Thème COG
 p p o r t  (cid:13)
 (cid:13) d e  r e c h e r c h e (cid:13)"

-8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e,NLP EAC Recognition by Component Separation in the Eye Region,"NLP EAC Recognition by Component
-Separation in the Eye Region
-Ruxandra Vrˆanceanu, Corneliu Florea, Laura Florea and Constantin Vertan
-The Image Processing and Analysis Laboratory (LAPI), Politehnica University of
-Bucharest, Romania"

 8a158fb9380a6666b922bc7a00121b6bf4a5ab0b,UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling,"UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep
 Image Sampling
 Madhu Babu V, Swagat Kumar, Anima Majumder and Kaushik Das
@@ -2526,10 +2156,6 @@ the primary visual cortex of higher mammals and the resulting features are fed i
 network for the recognition task. Next, we damage the network by reducing self-connections below a certain threshold
 in order to create dynamic attractors and hence hinder the networks ability to recognize familiar faces (faces already
 learned). Results obtained from simulations show that the resulting network responses are very similar to those of"

-6d66c98009018ac1512047e6bdfb525c35683b16,Face Recognition Based on Fitting a 3D Morphable Model,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 9, SEPTEMBER 2003
-Face Recognition Based on
-Fitting a 3D Morphable Model
-Volker Blanz and Thomas Vetter, Member, IEEE"

 6db59b031406546682a773baed2caed529aaf37c,Inferring the semantics of direction signs in public places,"Inferring the Semantics of Direction Signs in Public Places
 J´erˆome Maye∗, Luciano Spinello∗†, Rudolph Triebel∗, and Roland Siegwart∗
 Autonomous Systems Lab, ETH Zurich, Switzerland
@@ -2615,18 +2241,6 @@ pspb.sagepub.com"
 6d8057ce549db311b7ddaeed8dfd934b58c1c281,A RELIEF Based Feature Extraction Algorithm,"A RELIEF Based Feature Extraction Algorithm
 Yijun Sun∗
 Dapeng Wu†"

-6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,"Fujioka et al. Molecular Autism  (2016) 7:19
-DOI 10.1186/s13229-016-0083-y
-Open Access
-R ES EAR CH
-Gazefinder as a clinical supplementary tool
-for discriminating between autism
-spectrum disorder and typical development
-in male adolescents and adults
-Toru Fujioka1,2,3, Keisuke Inohara1,4, Yuko Okamoto2,3, Yasuhiro Masuya1, Makoto Ishitobi1,5, Daisuke N. Saito2,3,6,
-Minyoung Jung2,3, Sumiyoshi Arai2,3, Yukiko Matsumura1, Takashi X. Fujisawa2,3, Kosuke Narita7, Katsuaki Suzuki3,8,9,
-Kenji J. Tsuchiya3,8,9, Norio Mori3,8,9, Taiichi Katayama3, Makoto Sato2,3,10,11, Toshio Munesue3,12,
-Hidehiko Okazawa2,3,6, Akemi Tomoda2,3, Yuji Wada1,2,3 and Hirotaka Kosaka1,2,3*"

 6dd007b6e518a3aa96111028c4664f2647e5e81a,3D Face Synthesis Driven by Personality Impression,"D Face Synthesis Driven by Personality Impression
 Yining Lang1 Wei Liang1 Yujia Wang1 Lap-Fai Yu2
 Beijing Institute of Technology
@@ -2644,17 +2258,6 @@ Serena Li†, Gao Huang†, Bharath Hariharan†, Kilian Q. Weinberger†"
 6d88fb85fe5c61bd65e0a373cd39fac81a19596a,DC-Image for Real Time Compressed Video Matching,"DC-Image for Real Time Compressed
 Video Matching
 Saddam Bekhet, Amr Ahmed and Andrew Hunter"

-6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,"Journal of Information Engineering and Applications
-ISSN 2224-5782 (print) ISSN 2225-0506 (online)
-Vol 2, No.3, 2012
-www.iiste.org
-Harvesting Image Databases from The Web
-Snehal M. Gaikwad
-G.H.Raisoni College of Engg. & Mgmt.,Pune,India
-Snehal S. Pathare
-G.H.Raisoni College of Engg. & Mgmt.,Pune,India
-Trupti A. Jachak
-G.H.Raisoni College of Engg. & Mgmt.,Pune,India"

 6d7dabc58f53c0233d6d593a8fee76d1c7f44033,Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches,"Sensors 2012, 12, 15638-15670; doi:10.3390/s121115638
 OPEN ACCESS
 sensors
@@ -2739,10 +2342,6 @@ Gabriel Baglietto1,2*, Guido Gigante3,4, Paolo Del Giudice1,3
 INFN-Roma1, Italian National Institute for Nuclear Research (INFN), Rome, Italy, 2 IFLYSIB Instituto de
 Fı´sica de Lı´quidos y Sistemas Biolo´gicos (UNLP-CONICET), La Plata, Argentina, 3 Italian Institute of Health
 (ISS), Rome, Italy, 4 Mperience srl, Rome, Italy"

-6dddf1440617bf7acda40d4d75c7fb4bf9517dbb,"Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, MM YY
-Beyond Counting: Comparisons of Density Maps for Crowd
-Analysis Tasks - Counting, Detection, and Tracking
-Di Kang, Zheng Ma, Member, IEEE, Antoni B. Chan Senior Member, IEEE,"

 6d84d92d9ed6c226f0cc6401bc425a23432c9f96,Autism spectrum disorders: clinical and research frontiers.,"Downloaded from
 dc.bmj.com
 on 22 May 2008
@@ -2763,15 +2362,6 @@ You can respond to this article at:
 http://adc.bmj.com/cgi/eletter-submit/93/6/518
 Email alerting
 service"

-6d071848a3fd4e6c3184db0a68a41559ec9a47c8,An approach to Enhance Automatic Diagnosis of Diabetic Retinopathy and Classification by Hybrid Multilayer Feed forward Neural Networks by Genetic Algorithm,"International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 4, April 2015
-An approach to Enhance Automatic Diagnosis of
-Diabetic Retinopathy and Classification by Hybrid
-Multilayer Feed forward Neural Networks by
-Genetic Algorithm
-Rupa V. Lichode
-M. Tech ( Computer Science and Engineering )
-Department of Computer Technology
-R.C.E.R.T. Chandrapur, Maharastra, India"

 6d432962055a8c521e6b388d5a0a2140a0019a5e,Sensor network reconfiguration and big multimedia data fusion for situational awareness in smart environments,"Sensor network reconfiguration and big multimedia data fusion for situational
 wareness in smart environments
 Z. Akhtar, C. Drioli, M. Farinosi, G. Ferrin, G.L. Foresti, N. Martinel, C. Micheloni, C. Piciarelli, D.
@@ -2798,21 +2388,9 @@ Vishnu Naresh Boddeti†, Myung-Cheol Roh†, Jongju Shin, Takaharu Oguri, Takeo
 6dead19a89cbcbb71350a19925cb2c6f71261dfc,Fair k-Center Clustering for Data Summarization,"Fair k-Center Clustering for Data Summarization
 Matth¨aus Kleindessner 1 Pranjal Awasthi 1 Jamie Morgenstern 2"

 6d10beb027fd7213dd4bccf2427e223662e20b7d,User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies,"Publishing CorporationJournal of Electrical and Computer EngineeringVolume 2016, Article ID 4789803, 20 pageshttp://dx.doi.org/10.1155/2016/4789803"

-6d973fb5f682c491be94aa40a184a1707a8dc24a,Combining Multiple Image Segmentations by Maximizing Expert Agreement,"Combining Multiple Image Segmentations by
-Maximizing Expert Agreement
-Joni-Kristian Kamarainen, Lasse Lensu, and Tomi Kauppi
-Machine Vision and Pattern Recognition Laboratory
-Department of Information Technology
-Lappeenranta University of Technology
-P.O. Box 20, FI-53851 Lappeenranta, Finland
-http://www2.it.lut.fi/mvpr/"

 6d77b214a39b8592cd6ce48c9945e8a2466b22ba,Videana: A Software Toolkit for Scientific Film Studies,"Ralph Ewerth, Markus Mühling, Thilo Stadelmann,
 Julinda Gllavata, Manfred Grauer, Bernd Freisleben
 Videana: A Software Toolkit for Scientific Film Studies"

-6dd0597f8513dc100cd0bc1b493768cde45098a9,Learning to parse images of articulated bodies,"Learning to parse images of articulated bodies
-Deva Ramanan
-Toyota Technological Institute at Chicago
-Chicago, IL 60637"

 309e17e6223e13b1f76b5b0eaa123b96ef22f51b,Face recognition based on a 3D morphable model,"Face Recognition based on a 3D Morphable Model
 Volker Blanz
 University of Siegen
@@ -2874,9 +2452,6 @@ Montréal, Canada
 Christopher Pal
 École Polytechnique de
 Montréal, Canada"

-30c96cc041bafa4f480b7b1eb5c45999701fe066,Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval,"Discrete Cosine Transform Locality-Sensitive
-Hashes for Face Retrieval
-Mehran Kafai, Member, IEEE, Kave Eshghi, and Bir Bhanu, Fellow, IEEE"

 30f78071ac2bc965ffbf452a7b315d6dfddae30e,Lingusitic Analysis of Multi-Modal Recurrent Neural Networks,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 8–9,
 Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics."

 30ad88ca5b834ca78619f3938b5f8ee534fd3ea8,Random Forest with Learned Representations for Semantic Segmentation,"Random Forest with Learned Representations
@@ -2952,23 +2527,6 @@ Zhijun Chen Tao Zhang Bo Zhang Kong-kat Wong
 {wanshaohua, chenzhijun, tao.zhang, zhangbo,
 Xiaomi Inc.
 August 9, 2016"

-302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,"Face Recognition with Multilevel B-Splines and Support
-Vector Machines
-Manuele Bicego
-Dipartimento di Informatica
-University of Verona
-Strada Le Grazie 15
-7134 Verona - Italia
-Gianluca Iacono
-Dipartimento di Informatica
-University of Verona
-Strada Le Grazie 15
-7134 Verona - Italia
-Vittorio Murino
-Dipartimento di Informatica
-University of Verona
-Strada Le Grazie 15
-7134 Verona - Italia"

 30962cf6f47396df88bf1c8827ebda8f0a6ff516,A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery,"Article
 A Convolutional Neural Network Approach for
 Assisting Avalanche Search and Rescue Operations
@@ -3026,11 +2584,6 @@ Items deposited in White Rose Research Online are protected by copyright, with a
 indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by
 national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of
 the full text version. This is indicated by the licence information on the White Rose Research Online record"

-306957285fea4ce11a14641c3497d01b46095989,Face recognition under varying lighting based on derivates of log image,"FACE RECOGNITION UNDER VARYING LIGHTING BASED ON
-DERIVATES OF LOG IMAGE
-Laiyun Qing1,2, Shiguang Shan2,  Wen Gao1,2
-ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing 100080, China
-Graduate School, CAS, Beijing, 100039, China"

 30a319d6e1472c81a1987133afb01f524df459dc,Pedestrian Detection Based on Adaptive Selection of Visible Light or Far-Infrared Light Camera Image by Fuzzy Inference System and Convolutional Neural Network-Based Verification,"Article
 Pedestrian Detection Based on Adaptive Selection of
 Visible Light or Far-Infrared Light Camera Image by
@@ -3041,17 +2594,6 @@ Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildo
 Seoul 100-715, Korea; (J.K.K.); (H.G.H.)
 * Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
 Received: 16 June 2017; Accepted: 5 July 2017; Published: 8 July 2017"

-30f7609d111bb3bc006e3dd38678291528aa14d3,A new approach for extracting and summarizing abnormal activities in surveillance videos,"014 IEEE International
-Conference on Multimedia and
-Expo Workshops
-(ICMEW 2014)
-Chengdu, China
-4-18 July 2014
-Pages 516-1030
-IEEE Catalog Number:
-ISBN:
-CFP14IEW-POD
-978-1-4799-4716-4"

 30256c10cb7ec139b4245855850998c39b297975,Functional magnetic resonance imaging of autism spectrum disorders,"C l i n i c a l   r e s e a r c h
 Functional magnetic resonance imaging of
 utism spectrum disorders
@@ -3079,17 +2621,8 @@ Ricardo TOLEDO b
 Artificial Intelligence Research Institute (IIIA-CSIC), Campus UAB, 08193 Bellaterra,
 Computer Vision Center (CVC), Campus UAB, 08193 Bellaterra, Spain
 Spain"

-30b32f4a6341b5809428df1271bdb707f2418362,A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-A Sequential Neural Encoder with Latent Structured
-Description for Modeling Sentences
-Yu-Ping Ruan, Qian Chen, and Zhen-Hua Ling, Member, IEEE"

 30870ef75aa57e41f54310283c0057451c8c822b,Overcoming catastrophic forgetting with hard attention to the task,"Overcoming Catastrophic Forgetting with Hard Attention to the Task
 Joan Serr`a 1 D´ıdac Sur´ıs 1 2 Marius Miron 1 3 Alexandros Karatzoglou 1"

-3005a4afddab849d9070788ac0e4e95e0fff2216,"Transfer Metric Learning: Algorithms, Applications and Outlooks","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, XXXX XXXX
-Transfer Metric Learning: Algorithms,
-Applications and Outlooks
-Yong Luo, Yonggang Wen, Senior Member, IEEE, Ling-Yu Duan, Member, IEEE,
-nd Dacheng Tao, Fellow, IEEE"

 3099615de73bb1d6442ce29dc9959ddb91cfc282,Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models,"Detecting and Tracking Sports Players with
 Random Forests and Context-Conditioned
 Motion Models
@@ -3121,15 +2654,6 @@ Vallabh Vidyanagar-388120, Gujarat, India."
 30c8a2b6a505645b9f93dcc4d365eee6f46c4c37,Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object,"Using Curvilinear Features in Focus for Registering
 Single Image to a 3D Object
 Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, G´eraldine Morin and Vincent Charvillat"

-30b15cdb72760f20f80e04157b57be9029d8a1ab,Face Aging with Identity-Preserved Conditional Generative Adversarial Networks,"Face Aging with Identity-Preserved
-Conditional Generative Adversarial Networks
-Zongwei Wang
-Shanghaitech University
-Xu Tang
-Baidu
-Weixin Luo, Shenghua Gao∗
-Shanghaitech University
-{luowx,"

 307a810d1bf6f747b1bd697a8a642afbd649613d,An affordable contactless security system access for restricted area,"An affordable contactless security system access
 for restricted area
 Pierre Bonazza1, Johel Mitéran1, Barthélémy Heyrman1, Dominique Ginhac1,
@@ -3159,16 +2683,6 @@ Chen Sun
 Univ. of Southern California
 Ram Nevatia
 Univ. of Southern California"

-30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,"Image Latent Semantic Analysis for Face Recognition
-Jucheng Yang 1,2,3 , Yanbin Jiao2, Jinfeng Yang4,Zhijun Fang2 , Congcong Xiong1,
-Lei Shu2
-College of Computer Science and Information Engineering, Tianjin University of Science
-nd Technology, Tianjin, China.
-School of Information Technology, Jiangxi University of Finance and Economics,
-Nanchang, China. {ybjiao, zjfang, lshu
-Ahead Software Company Limited, Nanchang, 330041, China
-Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China,
-Tianjin, China"

 308647f22e3f1c80b7416b3c53fd56f9abfa904f,Robust Real-Time Tracking with Diverse Ensembles and Random Projections,"Robust Real-Time Tracking with Diverse Ensembles and Random Projections
 Center for Informatics Science,
 Center for Informatics Science,
@@ -3259,24 +2773,11 @@ ooperation in a sequential Prisoner’s
 Dilemma game
 Raoul Bell*, Laura Mieth, Axel Buchner
 Department of Experimental Psychology, Heinrich Heine University Du¨sseldorf, Du¨sseldorf, Germany"

-3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c,A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training,"A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss
-Dynamic Training
-Feng Zheng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang
-{winfredsun, sevjiang, scorpioguo, quentinyu,
-YouTu Lab, Tencent
-Shanghai, China"

-3bfa75238e15e869b902ceb62b31ffddbe8ccb0d,Describing Images using Inferred Visual Dependency Representations,"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics
-nd the 7th International Joint Conference on Natural Language Processing, pages 42–52,
-Beijing, China, July 26-31, 2015. c(cid:13)2015 Association for Computational Linguistics"

 3b4177556f1c9f5a8f8e1b2e8d824dee20e388e4,Spatial Weighting for Bag-of-Features,"Spatial Weighting for Bag-of-Features
 Marcin Marsza(cid:7)ek
 Cordelia Schmid
 INRIA Rh(cid:136)one-Alpes, LEAR - GRAVIR
 665 av de l’Europe, 38330 Montbonnot, France"

-3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e,Local Directional Number Pattern for Face Analysis: Face and Expression Recognition,"Local Directional Number Pattern for Face
-Analysis: Face and Expression Recognition
-Adin Ramirez Rivera, Student Member, IEEE, Jorge Rojas Castillo, Student Member, IEEE,
-nd Oksam Chae, Member, IEEE"

 3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f,Active Learning for Delineation of Curvilinear Structures,"Active Learning for Delineation of Curvilinear Structures
 Agata Mosinska
 Raphael Sznitman
@@ -3305,14 +2806,6 @@ information about you. In many nonhuman species,
 direct gaze functions as an aversive stimulus, likely
 ecause of the threat value associated with eye con-"

 3bc776eb1f4e2776f98189e17f0d5a78bb755ef4,View Synthesis from Image and Video for Object Recognition Applications,

-3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,"Part-based Visual Tracking via Structural Support
-Zhangjian Jia,b,c, Kai Fenga,b, Yuhua Qiana,b,c
-School of Computer & Information Technology, Shanxi University, Taiyuan, China
-Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry
-of Education, Shanxi University, Taiyuan, China
-Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China"

-3bbdfa097a4c39012cb322b23051e360c2f7f023,Learning Race from Face: A Survey,"Learning Race from Face: A Survey
-Siyao Fu, Member, IEEE, Haibo He, Senior Member, IEEE, and Zeng-Guang Hou, Senior Member, IEEE"

 3b14bdb0b1a7353d94973ef4c1578e1bd4a4e35e,Three dimensional binary edge feature representation for pain expression analysis,"Three Dimensional Binary Edge
 Feature Representation for Pain
 Expression Analysis
@@ -3333,9 +2826,6 @@ Phone: +65 6408 2071; Fax: +65 6776 1378;
 E-mail:"

 3b8ad690f8d43d189ea2f2559c41b6eebac8dcc8,Mobile 3D object detection in clutter,"Mobile 3D Object Detection in Clutter
 David Meger and James J. Little"

-3b2df7d70ecbe3d0d65d27801d159ddaa150bf42,Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation,"Doubly Sparse Relevance Vector Machine for
-Continuous Facial Behavior Estimation
-Sebastian Kaltwang, Sinisa Todorovic, Member, IEEE and Maja Pantic, Fellow, IEEE"

 3b8ad1f2335fc755e5cd75ee5922b8a0d432018a,A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network,"A Fast and Compact Saliency Score Regression
 Network Based on Fully Convolutional Network
 Xuanyang Xi, Yongkang Luo, Fengfu Li, Peng Wang and Hong Qiao"

@@ -3374,14 +2864,6 @@ Olga Russakovsky* · Jia Deng* · Hao Su · Jonathan Krause ·
 Sanjeev Satheesh · Sean Ma · Zhiheng Huang · Andrej Karpathy ·
 Aditya Khosla · Michael Bernstein · Alexander C. Berg · Li Fei-Fei
 Received: date / Accepted: date"

-3bcca85ad84806be6d38d3882f7a6aac0ad90253,Video captioning with recurrent networks based on frame- and video-level features and visual content classification,"A pre-workshop version of a paper set to be presented in the ICCV 2015 Large Scale Movie Description Challenge workshop
-Video captioning with recurrent networks based on
-frame- and video-level features and visual content classification
-Rakshith Shetty and Jorma Laaksonen
-Department of Computer Science
-Aalto University School of Science
-P.O.BOX 15400, FI-00076 AALTO
-Espoo, Finland"

 3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f,Social Signaling Descriptor for Group Behaviour Analysis,"Social Signaling Descriptor for Group
 Behaviour Analysis
 Eduardo M. Pereira1,2(B), Lucian Ciobanu1, and Jaime S. Cardoso1,2
@@ -3405,9 +2887,6 @@ Zhongxian Chen
 Dept. Computer Science
 Thomas Zimmie
 Dept. Civil Engineering"

-3b47e618c5ceb1c16db7f709dd1cfe53d7417b54,Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers,"Discrimination on the Grassmann Manifold:
-Fundamental Limits of Subspace Classifiers
-Matthew Nokleby, Member, IEEE, Miguel Rodrigues, Member, IEEE, and Robert Calderbank, Fellow,"

 3b9d94752f8488106b2c007e11c193f35d941e92,"Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections","#2052
 CVPR 2013 Submission #2052. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 #2052
@@ -3435,13 +2914,6 @@ teaching and research institutions in France or
 broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents"

-3b374fd726c8cd2c79c1092d76e3583265866362,Superpixel Convolutional Networks using Bilateral Inceptions,"Superpixel Convolutional Networks using
-Bilateral Inceptions
-Raghudeep Gadde1(cid:63), Varun Jampani2(cid:63), Martin Kiefel2,3, Daniel Kappler2, and
-Peter V. Gehler2,3
-Universit´e Paris-Est, LIGM (UMR 8049), CNRS, ENPC, ESIEE, UPEM, France
-Max Planck Institute for Intelligent Systems, T¨ubingen, Germany
-Bernstein Center for Computational Neuroscience, T¨ubingen, Germany"

 3bb80697a28b9876e668de2228003dbbdcb84a25,Face Recognition with semi-supervised learning and Multiple Classifiers,"Face Recognition with semi-supervised learning and Multiple
 Classifiers
 NEAMAT EL GAYAR*, SHABAN A. SHABAN† SAYED HAMDY†
@@ -3519,35 +2991,6 @@ Marzuki1, Egi Muhamad Hidayat2, Rinaldi Munir3, Ary Setijadi P4 ,Carmadi Machbub
 School of Electrical Engineering and Informatics, Institut Teknologi Bandung
 Bandung, Indonesia
 lskk.ee.itb.ac.id"

-470dbd3238b857f349ebf0efab0d2d6e9779073a,Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection,"Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
-Dongyoon Han and Junmo Kim
-School of Electrical Engineering, KAIST, South Korea
-In this paper, we propose a novel unsupervised feature selection method: Si-
-multaneous Orthogonal basis Clustering Feature Selection (SOCFS). To per-
-form feature selection on unlabeled data effectively, a regularized regression-
-ased formulation with a new type of target matrix is designed. The target
-matrix captures latent cluster centers of the projected data points by per-
-forming the orthogonal basis clustering, and then guides the projection ma-
-trix to select discriminative features. Unlike the recent unsupervised feature
-selection methods, SOCFS does not explicitly use the pre-computed local
-structure information for data points represented as additional terms of their
-objective functions, but directly computes latent cluster information by the
-target matrix conducting orthogonal basis clustering in a single unified term
-of the proposed objective function.
-Since the target matrix is put in a single unified term for regression of
-the proposed objective function, feature selection and clustering are simul-
-taneously performed. In this way, the projection matrix for feature selection
-is more properly computed by the estimated latent cluster centers of the
-projected data points. To the best of our knowledge, this is the first valid"

-47d4838087a7ac2b995f3c5eba02ecdd2c28ba14,Automatic Recognition of Deceptive Facial Expressions of Emotion,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 2017
-Automatic Recognition of Facial Displays of
-Unfelt Emotions
-Kaustubh Kulkarni*, Ciprian Adrian Corneanu*, Ikechukwu Ofodile*, Student Member, IEEE, Sergio
-Escalera, Xavier Bar´o, Sylwia Hyniewska, Member, IEEE, J¨uri Allik,
-nd Gholamreza Anbarjafari, Senior Member, IEEE"

-47bd6c1d7da596d3cf79f06ec0de816d10f11beb,Coupled Discriminant Analysis for Heterogeneous Face Recognition,"Coupled Discriminant Analysis for Heterogeneous
-Face Recognition
-Zhen Leiy, Member, IEEE, Shengcai Liaoz, Anil K. Jainz, Fellow, IEEE, and Stan Z. Liy, Fellow, IEEE"

 47719d391417a237701c5e275ebb1034418e20f2,Human Face Processing with 1.5D Models,"Human Face Processing with 1.5D Models
 Gin´es Garc´ıa-Mateos1, Alberto Ruiz1, and Pedro E. L´opez-de-Teruel2
 Dept. de Inform´atica y Sistemas
@@ -3578,27 +3021,13 @@ Unsupervised Deep Learning
 for Optical Flow Estimation
 Zhe Ren,1 Junchi Yan,2,3∗ Bingbing Ni,1 Bin Liu,4 Xiaokang Yang,1 Hongyuan Zha5
 Shanghai Jiao Tong University 2East China Normal University 3IBM Research 4Moshanghua Tech 5Georgia Tech"

-475e16577be1bfc0dd1f74f67bb651abd6d63524,DAiSEE: Towards User Engagement Recognition in the Wild,"DAiSEE: Towards User Engagement Recognition in the Wild
-Abhay Gupta
-Microsoft
-Vineeth N Balasubramanian
-Indian Institution of Technology Hyderabad"

 4753a125469da7649e9f58fb0db781622dff41f8,Single-View Semantic Mesh Refinement,"Multi-View Stereo with Single-View Semantic Mesh Refinement
 Andrea Romanoni Marco Ciccone
 Francesco Visin Matteo Matteucci
 {andrea.romanoni, marco.ciccone, francesco.visin,
 Politecnico di Milano, Italy"

-47022785c35735a242dbacd4f1f1bb73628493ea,Person Retrieval Based on Viewpoint Saliency Prior,"Journal of Computational Information Systems 9: 20 (2013) 8235–8242
-Available at http://www.Jofcis.com
-Person Retrieval Based on Viewpoint Saliency Prior
-Qingming LENG, Ruimin HU∗, Cuina JIAO, Chao LIANG, Zheng WANG
-National Engineering Research Center for Multimedia Software, School of Computer, Wuhan
-University, Wuhan 430079, China"

 47fc921add1421ff8adb730df7aa9e7f865bfdeb,Toward Practical Smile Detection,"Towards Practical Smile Detection
 Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan"

-47a2727bd60e43f3253247b6d6f63faf2b67c54b,Semi-supervised Vocabulary-Informed Learning,"Semi-supervised Vocabulary-informed Learning
-Yanwei Fu and Leonid Sigal
-Disney Research"

 47e8db3d9adb79a87c8c02b88f432f911eb45dc5,MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization,"MAGMA: Multi-level accelerated gradient mirror descent algorithm for
 large-scale convex composite minimization
 Vahan Hovhannisyan
@@ -3646,20 +3075,9 @@ School of Computer Science and Engineering, Kyungpook National University,
 Laboratoire MIA (Mathematiques, Image et Applications)- Universit´e de La
 Rochelle, 17000, France, {andrews.sobral,"

 47980c6e42f1a3381e6c5f3db7230e6a64c40218,Finding People in Images and Videos,"INSTITUTNATIONALPOLYTECHNIQUEDEGRENOBLENum´eroattribu´eparlabiblioth`equeTH`ESEpourobtenirlegradedeDOCTEURDEL’INSTITUTNATIONALPOLYTECHNIQUEDEGRENOBLESp´ecialit´e:Imagerie,VisionetRobotiquedanslecardedel’´EcoleDoctoraleMath´ematiques,SciencesetTechnologiedel’Informationpr´esent´eeetsoutenuepubliquementparNavneetDALALle17Juillet,2006FindingPeopleinImagesandVideosJURYM.JamesL.CROWLEYPr´esidentM.MartialHEBERTRapporteurM.LucVanGOOLRapporteurM.ShaiAVIDANExaminateurMme.CordeliaSCHMIDDirecteurdeth`eseM.WilliamJ.TRIGGSDirecteurdeth`eseTh`esepr´epar´eedanslelaboratoireGRAVIR–IMAGauseinduProjetLEAR,INRIARhˆone-Alpes655avenuedel’Europe,38334SaintIsmier,France."

-47d3b923730746bfaabaab29a35634c5f72c3f04,Real-Time Facial Expression Recognition App Development on Smart Phones,"Humaid Alshamsi.et.al. Int. Journal of Engineering Research and Application              www.ijera.com
-ISSN : 2248-9622, Vol. 7, Issue 7, ( Part -3) July 2017, pp.30-38
-RESEARCH ARTICLE
-OPEN ACCESS
-Real-Time Facial Expression Recognition App Development on
-Smart Phones
-Humaid Alshamsi, Veton Kupuska
-Electrical And Computer Engineering Department, Florida Institute Of Technology, Melbourne Fl,"

 47f2088afb616bde5468818e23d79e1ae5a562cd,Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines,"Multi-view Gender Classification based on Local Gabor Binary
 Mapping Pattern and Support Vector Machines
 Bin Xia, He Sun and Bao-Liang Lu∗ Senior Member, IEEE"

-47caa516511a111b9dfd04f0eae55c6568bddb6c,Joint Tensor Feature Analysis For Visual Object Recognition,"Joint Tensor Feature Analysis For Visual
-Object Recognition
-Wai Keung Wong, Zhihui Lai, Yong Xu, Member, IEEE, Jiajun Wen, and Chu Po Ho"

 470b89e2c5248eb58e09129aa9b4d8bc77497e7e,Cortical folding abnormalities in autism revealed by surface-based morphometry.,"The Journal of Neuroscience, October 24, 2007 • 27(43):11725–11735 • 11725
 Neurobiology of Disease
 Cortical Folding Abnormalities in Autism Revealed by
@@ -3779,10 +3197,6 @@ Appearance Models. A comparison approach.
 Drago(cid:1) Datcu
 Léon Rothkrantz"

 478261574ddc6cf297611000735aa9808f8f0030,ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes,

-471befc1b5167fcfbf5280aa7f908eff0489c72b,Class-Specific Kernel-Discriminant Analysis for Face Verification,"Class-Specific Kernel-Discriminant
-Analysis for Face Verification
-Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE
-lass problems ("

 47541d04ec24662c0be438531527323d983e958e,Affective Information Processing,Affective Information Processing

 47b34a8ad5100582aa7cbfd85df3ca7659adc392,Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 1403–1414,
 Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics"

@@ -3820,9 +3234,6 @@ November 28, 2017"
 Xiaohan Fei
 Alex Wong
 Stefano Soatto"

-99b7ff97ad54308b816e47d9bbf6704b787b8f52,Causal flow,"IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 3, JUNE 2012
-Causal Flow
-Yuya Yamashita, Tatsuya Harada, Member, IEEE, and Yasuo Kuniyoshi, Member, IEEE"

 998e829cc72080c88a780f322d6bf7ab78dbd743,Towards Real-Time Multiresolution Face/Head Detection,"´AAAAAAAAAAAAAAAAAAAAAAAA
 ´AAAAAAAAAAAAAAAAAAAAAAAA
 ART´ICULO
@@ -3835,9 +3246,6 @@ y Aplicaciones Num´ericas en Ingenier´ıa
 Edificio Central del Parque Cient´ıfico-Tecnol´ogico
 Campus Universitario de Tafira
 5017 Las Palmas - Espa˜na"

-99d3bc6d62675297693e5e57ff0770e7017f9637,Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification,"Hierarchical Invariant Feature Learning with
-Marginalization for Person Re-Identification
-Rahul Rama Varior, Student Member, IEEE, Gang Wang, Member, IEEE"

 9974a806bb69ed26fb8cf49ebdd53d7756336eec,Object Recognition Using Multiresolution Trees,"Object recognition using Multiresolution trees
 Monica Bianchini, Marco Maggini, and Lorenzo Sarti
 DII - Universit`a degli Studi di Siena
@@ -3903,32 +3311,6 @@ Amira E. Youssef, Sherin F. Aly, Ahmed S. Ibrahim, and A. Lynn Abbott
 regarding
 emotion
 recognize"

-99cb716cd7687db8ef3d0403c85b1ab90869800f,FACE RECOGNITION UNDER POSE AND EXPRESIVITY VARIATION USING THERMAL AND VISIBLE IMAGES,"FACE RECOGNITION UNDER POSE AND EXPRESIVITY
-VARIATION USING THERMAL AND VISIBLE IMAGES
-Florin Marius Pop, Mihaela Gordan, Camelia Florea, Aurel Vlaicu
-Centre for Multimedia Technologies and Distance Education
-Technical University of Cluj-Napoca, Romania
-{Mihaela.Gordan, Camelia.Florea,"

-99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,"Hindawi
-Journal of Sensors
-Volume 2018, Article ID 5034684, 10 pages
-https://doi.org/10.1155/2018/5034684
-Research Article
-Landmark-Guided Local Deep Neural Networks for Age and
-Gender Classification
-Yungang Zhang 1 and Tianwei Xu2
-Department of Computer Science, Yunnan Normal University, Kunming, Yunnan 650500, China
-Graduate School, Yunnan Normal University, Kunming, Yunnan 650500, China
-Correspondence should be addressed to Yungang Zhang;
-Received 22 February 2018; Accepted 30 April 2018; Published 9 July 2018
-Academic Editor: Mucheol Kim
-Copyright © 2018 Yungang Zhang and Tianwei Xu. This is an open access article distributed under the Creative Commons
-Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work
-is properly cited.
-Many types of deep neural networks have been proposed to address the problem of human biometric identification, especially in the
-reas of face detection and recognition. Local deep neural networks have been recently used in face-based age and gender
-lassification, despite their improvement in performance, their costs on model training is rather expensive. In this paper, we
-propose to construct a local deep neural network for age and gender classification. In our proposed model, local image patches"

 99e1ab1fb08af137cad6efbc0454c6e1e68dca51,3D human action recognition and motion analysis using selective representations,"D HUMAN ACTION RECOGNITION
 AND MOTION ANALYSIS USING
 SELECTIVE REPRESENTATIONS
@@ -3983,18 +3365,6 @@ Ronny Hug∗, Stefan Becker∗, Wolfgang H¨ubner∗ and Michael Arens∗"
 99227909e5733d76b0d50fc3fab975ab7a43fce3,A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation,"A Cascaded Inception of Inception Network with Attention Modulated Feature
 Fusion for Human Pose Estimation
 Submission ID: 2065"

-99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,"International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014                                                                                                      570
-ISSN 2229-5518
-Facial Expression Recognition Using PCA & Distance Classifier
-AlpeshKumar Dauda*
-Dept. of Electronics & Telecomm. Engg.
-Ph.D Scholar,VSSUT
-BURLA, ODISHA, INDIA
-Nilamani Bhoi
-Reader in Dept. of Electronics & Telecomm. Engg.
-VEER SURENDRA SAI UNIVERSITY OF
-TECHNOLOGY
-BURLA, ODISHA, INDIA"

 998b7c8608fb9f80177ce54230761d8c3d82b2da,SHEF-Multimodal: Grounding Machine Translation on Images,"Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pages 660–665,
 Berlin, Germany, August 11-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

 99246f998a684879038f39583bcf75b8f218e0a3,Object Detection for Autonomous Driving Using Deep Learning,"UNIVERSITAT POLITÈCNICA DE CATALUNYA
@@ -4164,9 +3534,6 @@ BSc(Biol), MSc(Biol), MSc(CompSc)
 A thesis submitted for the degree of Doctor of Philosophy at
 The University of Queensland in 2012
 School of Information Technology and Electrical Engineering"

-299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0,Face recognition by independent component analysis,"Face Recognition by Independent
-Component Analysis
-Marian Stewart Bartlett, Member, IEEE, Javier R. Movellan, Member, IEEE, and Terrence J. Sejnowski, Fellow, IEEE"

 2914a20df10f3bb55c5d4764ece85101c1a3e5a8,User interest profiling using tracking-free coarse gaze estimation,"User Interest Profiling Using
 Tracking-free Coarse Gaze Estimation
 Federico Bartoli, Giuseppe Lisanti, Lorenzo Seidenari, Alberto Del Bimbo
@@ -4243,42 +3610,11 @@ Dr. Harald Scharfenberg
 Professor at FHD
 Thesis Supervisor
 Accepted by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ."

-29b1a44d1e1ffa05c2bf7f4be931c5045f427718,ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof,"International Journal of Advanced Research in Engineering and Technology
-(IJARET)
-Volume 6, Issue 12, Dec 2015, pp. 104-133, Article ID: IJARET_06_12_010
-Available online at
-http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=6&IType=12
-ISSN Print: 0976-6480 and ISSN Online: 0976-6499
-© IAEME Publication
-REVIEW ON GENERIC OBJECT
-RECOGNITION TECHNIQUES:
-CHALLENGES AND OPPORTUNITIES
-Prof. Deepika Shukla
-Comp. Science and Engineering Department,
-Institute of Technology, Nirma University, Ahmedabad, India
-Apurva Desai
-Department of Computer Science and Information Technology,
-VNSGU, Surat India"

 2926a7b4e6f92498236817300a253e8f3a88bd49,Neural Paraphrase Generation using Transfer Learning,"Proceedings of The 10th International Natural Language Generation conference, pages 257–261,
 Santiago de Compostela, Spain, September 4-7 2017. c(cid:13)2017 Association for Computational Linguistics"

 299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37,"Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose.","Attribute And-Or Grammar for Joint Parsing of
 Human Attributes, Part and Pose
 Seyoung Park, Bruce Xiaohan Nie and Song-Chun Zhu"

-29619496c688f8400a90fef79b4fa756967ed0f7,Head Gesture Recognition: A Literature Review,"International Conference on Innovative Research in Engineering, Science, Management and Humanities (ICIRESMH-2017)
-t (IETE) Institution of Electronics and Telecommunication Engineers, Lodhi Road, Delhi, India
-on 19th February 2017
-ISBN: 978-81-932712-5-4
-Head Gesture Recognition: A Literature Review
-Er. Rushikesh T. Bankar
-Ph. D Scholar,
-Department of Electronics Engineering,
-G. H. Raisoni College of Engineering,
-Nagpur, India.
-Dr. Suresh S. Salankar
-Dean SAC & Professor,
-Department of E&TC Engineering,
-G. H. Raisoni College of Engineering,
-Nagpur, India."

 29756b6b16d7b06ea211f21cdaeacad94533e8b4,Thresholding Approach based on GPU for Facial Expression Recognition,"Thresholding Approach based on GPU for Facial
 Expression Recognition
 Jesús García-Ramírez1, J. Arturo Olvera-López1, Ivan Olmos-Pineda1, Georgina
@@ -4320,11 +3656,6 @@ Department of Electrical and Electronic Engineering, Imperial College, South Ken
 {oscar.deniz, ismael.serrano,
 Keywords:
 ction recognition, violence detection, fight detection"

-29c23c7d5d70aef54168ba20dccdd14f570901a3,Duplicate Discovery on 2 Billion Internet Images,"Duplicate Discovery on 2 Billion Internet Images
-Xin-Jing Wang, Lei Zhang
-Microsoft Research Asia
-5 Danling Street, Beijing, China
-fxjwang,"

 299c14458e13eb290534eb4484ad910ea0e828a7,Evaluation of the most appropriate Kernel Function for the Purpose of Feature Extraction in Face Recognition in video surveillance systems,"Evaluation of the most appropriate Kernel Function for the
 Purpose of Feature Extraction in Face Recognition in video
 surveillance systems
@@ -4421,12 +3752,6 @@ Department of Computer Science, University of California, Irvine"
 296502c6370cabd2b7e38e71cfc757d2e5fa2199,Detection of Deep Network Generated Images Using Disparities in Color Components,"Detection of Deep Network Generated Images
 Using Disparities in Color Components
 Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang"

-294bd7eb5dc24052237669cdd7b4675144e22306,Automatic Face Annotation,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
-Automatic Face Annotation
-Ashna Shajahan
-M.Tech Student, Dept. of Computer Science & Engineering, Mount Zion College of Engineering, Pathanamthitta, Kerala, India"

 29cf7937a1c1848c24b294569d50a2f7122de51b,MarioQA: Answering Questions by Watching Gameplay Videos,"MarioQA: Answering Questions by Watching Gameplay Videos
 Jonghwan Mun*
 Bohyung Han
@@ -4441,9 +3766,6 @@ Real-time reliability measure-driven multi-
 hypothesis tracking using 2D and 3D features
 Marcos D Zúñiga1*, François Brémond2 and Monique Thonnat2
 Open Access"

-299ca90452aa8a7dd517de3ff3c9bf224d5100c7,Dynamic Scene Classification Using Redundant Spatial Scenelets,"Dynamic Scene Classification Using Redundant
-Spatial Scenelets
-Liang Du and Haibin Ling, Member, IEEE"

 2921719b57544cfe5d0a1614d5ae81710ba804fa,Face Recognition Enhancement Based on Image File Formats and Wavelet,"Face Recognition Enhancement Based on Image
 File Formats and Wavelet De-noising
 Isra’a Abdul-Ameer Abdul-Jabbar, Jieqing Tan, and Zhengfeng Hou"

@@ -4466,16 +3788,6 @@ work in other works.
 Contact
 https://ghassanalregib.com/
 http://cantemel.com/"

-29bcf87f48a5b4e2f06f20761cbc376d56df5f13,Face Recognition using PCA and SVM with Surf Technique,"Face Recognition using PCA and SVM with Surf
-International Journal of Computer Applications (0975 – 8887)
-Volume 129 – No.4, November2015
-Technique
-Shilpa Sharma
-Indo Global College of Engineering
-Abhipur, Mohali, India
-Kumud Sachdeva
-Asstt.Prof. Indo Global  College of Engineering
-Abhipur, Mohali, India"

 292c4bd6fa516393e9c8c5f1dae5afe0bb0ece35,IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Interacting Multiview Tracker,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 38, NO. 5, MAY 2016
 Interacting Multiview Tracker
 Ju Hong Yoon, Ming-Hsuan Yang, Senior Member, IEEE, and Kuk-Jin Yoon"

@@ -4552,8 +3864,6 @@ Department of Electrical and Computer Engineering
 American University of Beirut
 Beirut, Lebanon
 Email:"

-9b95153e4d3972d59fabef0fddce9b7207836b1b,Nonlinear Discrete Hashing,"Nonlinear Discrete Hashing
-Zhixiang Chen, Jiwen Lu, Senior Member, IEEE, Jianjiang Feng, Member, IEEE, and Jie Zhou, Senior Member, IEEE"

 9bf6fbccfdf013cfd076f9357a05fb00b50735ee,JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems,"JAR-Aibo: A Multi-View Dataset for Evaluation
 of Model-Free Action Recognition Systems
 Marco K¨orner and Joachim Denzler
@@ -4630,10 +3940,6 @@ Baidu.com, Inc"
 9bcfadd22b2c84a717c56a2725971b6d49d3a804,How to Detect a Loss of Attention in a Tutoring System using Facial Expressions and Gaze Direction,"How to Detect a Loss of Attention in a Tutoring System
 using Facial Expressions and Gaze Direction
 Mark ter Maat"

-9b693c71cc89e2d2f41b6ab5cc0f62ca59c6d128,Recognizing Unseen Attribute-Object Pair with Generative Model,"Recognizing Unseen Attribute-Object Pair with Generative Model
-Zhixiong Nan1,2∗ , Yang Liu2∗, Nanning Zheng1, and Song-Chun Zhu2
-Xi’an Jiaotong University, China
-University of California, Los Angeles, USA"

 9b678aa28facf4f90081d41c2c484c6addddb86d,Fully Convolutional Attention Networks for Fine-Grained Recognition,"Fully Convolutional Attention Networks for Fine-Grained Recognition
 Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou and Yuanqing Lin
 Baidu Research
@@ -4642,16 +3948,6 @@ Baidu Research
 9bac481dc4171aa2d847feac546c9f7299cc5aa0,Matrix Product State for Higher-Order Tensor Compression and Classification,"Matrix Product State for Higher-Order Tensor
 Compression and Classification
 Johann A. Bengua1, Ho N. Phien1, Hoang D. Tuan1 and Minh N. Do2"

-9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6,A Hybrid Approach for Secure Biometric Authentication Using Fusion of Iris and Ear,"Volume 5, Issue 8, August 2015                                          ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-A Hybrid Approach for Secure Biometric Authentication Using
-Fusion of Iris and Ear
-Pamalpreet Kaur*, Er. Nirvair Neeru
-CSE Deptt. Punjabi University,
-Patiala, India"

 9b7974d9ad19bb4ba1ea147c55e629ad7927c5d7,Faical Expression Recognition by Combining Texture and Geometrical Features,"Faical Expression Recognition by Combining
 Texture and Geometrical Features
 Renjie Liu, Ruofei Du, Bao-Liang Lu*"

@@ -4692,17 +3988,6 @@ Reasoning with shapes: profiting cognitive
 susceptibilities to infer linear mapping
 transformations between shapes
 Vahid Jalili"

-9b666e20f570387214926eee542965f3fbe3cfce,Side Information for Face Completion: a Robust PCA Approach,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Side Information for Face Completion: a Robust
-PCA Approach
-Niannan Xue, Student Member, IEEE, Jiankang Deng, Student Member,IEEE,
-Shiyang Cheng, Student Member,IEEE, Yannis Panagakis, Member,IEEE,
-nd Stefanos Zafeiriou, Member, IEEE"

-9b4e90866c1f096a57383fb7320ac9d516a2f88d,Towards lightweight convolutional neural networks for object detection,"TOWARDS LIGHTWEIGHT CONVOLUTIONAL NEURAL
-NETWORKS FOR OBJECT DETECTION
-Dmitriy Anisimov, Tatiana Khanova
-Intel
-Nizhny Novgorod, Russia"

 9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a,A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval,"A New Evaluation Protocol and Benchmarking
 Results for Extendable Cross-media Retrieval
 Ruoyu Liu, Yao Zhao, Liang Zheng, Shikui Wei, and Yi Yang"

@@ -4728,13 +4013,6 @@ Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu, Zenglin Shi, Guandong Xu"
 Sang Phan, Duy-Dinh Le, Shin’ichi Satoh
 National Institute of Informatics
 -1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan 101-8430"

-13f07d51c073964d11f9af6463fe3ffe5475c393,"Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation","This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-Part-Based Pedestrian Detection and Feature-Based
-Tracking for Driver Assistance: Real-Time,
-Robust Algorithms, and Evaluation
-Antonio Prioletti, Student Member, IEEE, Andreas Møgelmose, Student Member, IEEE, Paolo Grisleri,
-Mohan Manubhai Trivedi, Fellow, IEEE, Alberto Broggi, Senior Member, IEEE, and
-Thomas B. Moeslund, Member, IEEE"

 13b8d657f0f9a0178339570bdc153bfd10a81300,Harvesting large-scale weakly-tagged image databases from the web,"Harvesting Large-Scale Weakly-Tagged Image Databases from the Web
 Jianping Fan1, Yi Shen1, Ning Zhou1, Yuli Gao2
 Department of Computer Science, UNC-Charlotte, NC28223, USA
@@ -4759,13 +4037,6 @@ Laboratoire d’Informatique, Polytech’Tours, Universite´ Franc¸ois-Rabelais
 e-mail: {sebastien.aupetit, nicolas.monmarche,
 (Received 16 July 2005; in final form 22 December 2005; published online 28 February 2006)
 In this work we consider the problem of Hidden Markov Models (HMM) training. This"

-130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,"The International Arab Journal of Information Technology, Vol. 10, No. 6, November 2013                                                               527
-A Robust Multiwavelet-Based Watermarking
-Scheme for Copyright Protection of Digital
-Images using Human Visual System
-Padmanabhareddy Vundela1 and Varadarajan Sourirajan2
-Department of Information Technology, Vardhaman College of Engineering, India
-Department of Electrical and Electronic Engineering, S.V. University College of Engineering, India"

 138e3f6bc164a7b26a0ff283379a325afc0fee14,Geo-Supervised Visual Depth Prediction,"Geo-Supervised Visual Depth Prediction
 Xiaohan Fei
 Alex Wong
@@ -4785,11 +4056,6 @@ Tübingen, Germany"
 139763a0b2e78b63b245a456f2b9dbde2d1d573c,"RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network","RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping
 with One Multi-task Convolutional Neural Network
 Hanbo Zhang, Xuguang Lan, Lipeng Wan, Chenjie Yang, Xinwen Zhou, and Nanning Zheng"

-134db6ca13f808a848321d3998e4fe4cdc52fbc2,Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 2, APRIL 2006
-Dynamics of Facial Expression: Recognition of
-Facial Actions and Their Temporal Segments
-From Face Profile Image Sequences
-Maja Pantic, Member, IEEE, and Ioannis Patras, Member, IEEE"

 135fcdab631ab30ae837a743040f1c8751268e41,DeepStyle: Multimodal Search Engine for Fashion and Interior Design,"SUBMITTED TO IEEE TRANSACTIONS ON MULTIMEDIA
 DeepStyle: Multimodal Search Engine
 for Fashion and Interior Design
@@ -4820,11 +4086,6 @@ is an emerging technology that addresses the automated identification of
 individuals, based on their physiological and behavioral traits. The main advantage of
 iometric methods is the ability to recognize, which is made by means of a physical feature or
 unique pattern (Jain et al. (2008)). With these methods and individual can hardly be victim"

-13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,"Joint Learning of Siamese CNNs and Temporally
-Constrained Metrics for Tracklet Association
-Bing Wang, Student Member, IEEE, Li Wang, Member, IEEE, Bing Shuai, Student Member, IEEE,
-Zhen Zuo, Student Member, IEEE, Ting Liu, Student Member, IEEE, Kap Luk Chan, Member, IEEE, and
-Gang Wang, Member, IEEE"

 135fe2a0a0e6b726e5d81299edad4b3ce39d6614,Multichannel-Kernel Canonical Correlation Analysis for Cross-View Person Reidentification,"This is a pre-print version, the final version of the manuscript with more experiments can be found at:
 https://doi.org/10.1145/3038916
 Multi Channel-Kernel Canonical Correlation
@@ -4850,10 +4111,6 @@ FPCEUP, Porto, Portugal.
 ESTSPIPP, Porto, Portugal.
 Institution where the study was elaborated: Faculty of Psychology and Educational Sciences, Porto University, Portugal.
 Received: 11/6/2012 – Accepted: 2/14/2013"

-133f01aec1534604d184d56de866a4bd531dac87,Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics,"Effective Unconstrained Face Recognition by
-Combining Multiple Descriptors and Learned
-Background Statistics
-Lior Wolf, Member, IEEE, Tal Hassner, and Yaniv Taigman"

 13ae3c8afef5a0d6f4c9e684da9fc1fa96caaeb6,Online Anomaly Detection in Crowd Scenes via Structure Analysis,"Online Anomaly Detection in Crowd Scenes
 via Structure Analysis
 Yuan Yuan, Senior Member, IEEE, Jianwu Fang, and Qi Wang"

@@ -5020,15 +4277,6 @@ University of California, Berkeley∗ and Microsoft Research†
 yeshen, jfgao, jingjl,"

 13b2e01030ae41983003e3ae53b5bb3ed3e764f0,Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline,"Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline
 Stefan Breuers1, Lucas Beyer1, Umer Rafi1, Bastian Leibe1"

-132cc530230cb869318b0a9d81a717077895db38,Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks,"Emancipation of Upper Bound Greedy Algorithm in Detection
-© 2018 IJSRSET | Volume 4 | Issue 1 | Print ISSN: 2395-1990 | Online ISSN : 2394-4099
-Themed Section : Engineering and Technology
-of Nodes in Social Networks
-Shaik Aasha1, T. Nagini2
-M.Tech Scholar Department of CS, St.Mary’s Group of Institutions Guntur Chebrolu(V&M),Guntur(Dt),
-Andhra Pradesh, India
-Assistant Professor Department of CSE, St.Mary’s Group of Institutions Guntur Chebrolu(V&M),Guntur(Dt),
-Andhra Pradesh, India"

 13f03aab62fc29748114a0219426613cf3ba76ae,MORPH-II: Feature Vector Documentation,"MORPH-II: Feature Vector Documentation
 Troy P. Kling
 NSF-REU Site at UNC Wilmington, Summer 2017
@@ -5061,19 +4309,6 @@ Priusha Narwariya
 Dept. of CSE
 ITM Universe
 Gwalior"

-138cef9080f213f1ffc7900ade7c0e85ee8e7bf2,Bloodhound : Kinship Through Imaging,"ISSN (Online) : 2319 – 8753
-ISSN (Print)    : 2347 - 6710
-International Journal of Innovative Research in Science, Engineering and Technology
-An ISO 3297: 2007 Certified Organization,
-Volume 3, Special Issue 5, April 2014
-Two days National Conference – VISHWATECH 2014
-On 21st & 22nd February, Organized by
-Department of CIVIL, CE, ETC, MECHNICAL, MECHNICAL SAND, IT Engg. Of Vishwabharati Academy’s College of engineering,
-Ahmednagar, Maharastra, India
-Bloodhound : Kinship Through Imaging
-Chaitali Deshmukh, Prof. S.D.Jondhale
-ME student, Department of Computer Engineering, SVIT, Chincholi, Nashik, India.
-Professor, Computer Engineering Department, SVIT, Chincholi, Nashik, India."

 13f9922632ff5311046229b849615fcd2f5d0c06,On Multi-scale differential features for face recognition,"On Multi-scale differential features for face recognition
 Center for Intelligent Information Retrieval
 S. Ravela
@@ -5145,21 +4380,12 @@ Cornell Tech
 Gunnar R¨atsch
 Computational Biology Program, Sloan Kettering Institute
 275 York Avenue, New York, USA"

-60cc2e8abc20c145727e7089c55bdba5722436d0,Higher Order Matching for Consistent Multiple Target Tracking,"Higher Order Matching for Consistent Multiple Target Tracking
-Chetan Arora
-Amir Globerson
-School of Computer Science and Engineering
-The Hebrew University
-http://www.cs.huji.ac.il/˜chetan/"

 60ffc8db53b02e95d852f5a06f97686486f72195,Video matching using DC-image and local features,"Video Matching Using DC-image and Local
 Features
 Saddam Bekhet, Amr Ahmed and Andrew Hunter"

 60cdcf75e97e88638ec973f468598ae7f75c59b4,Face Annotation Using Transductive Kernel Fisher Discriminant,"Face Annotation Using Transductive
 Kernel Fisher Discriminant
 Jianke Zhu, Steven C.H. Hoi, and Michael R. Lyu"

-6047e9af00dcffbd2effbfa600735eb111f7de65,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,"A Discriminative Representation of Convolutional
-Features for Indoor Scene Recognition
-S. H. Khan, M. Hayat, M. Bennamoun, Member, IEEE, R. Togneri, and F. Sohel, Senior Member, IEEE"

 60d75d32d345c519fa5c0d8d6b6eb62e633a8d13,Person reidentification by semisupervised dictionary rectification learning with retraining module,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/13/2018
 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
 PersonreidentificationbysemisuperviseddictionaryrectificationlearningwithretrainingmoduleHongyuanWangZongyuanDingJiZhangSuolanLiuTongguangNiFuhuaChenHongyuanWang,ZongyuanDing,JiZhang,SuolanLiu,TongguangNi,FuhuaChen,“Personreidentificationbysemisuperviseddictionaryrectificationlearningwithretrainingmodule,”J.Electron.Imaging27(4),043043(2018),doi:10.1117/1.JEI.27.4.043043."

@@ -5241,13 +4467,6 @@ segmentation of medical images [17], [18]. In conventional Sparse Representation
 Experience-Based Classification for
 Robot Perception
 Jeffrey Hawke†, Corina Gur˘au†, Chi Hay Tong and Ingmar Posner"

-601834a4150e9af028df90535ab61d812c45082c,A short review and primer on using video for psychophysiological observations in human-computer interaction applications,"A short review and primer on using video for
-psychophysiological observations in
-human-computer interaction applications
-Teppo Valtonen1
-Quantified Employee unit, Finnish Institute of Occupational Health,
-teppo. valtonen fi,
-POBox 40, 00250, Helsinki, Finland"

 6025f0761024006e0ea5782a7cea29ed69231fbf,Neural Mechanisms of Qigong Sensory Training Massage for Children With Autism Spectrum Disorder: A Feasibility Study,"Original Article
 Neural Mechanisms of Qigong Sensory
 Training Massage for Children With Autism
@@ -5293,18 +4512,6 @@ Moulay Slimane, Beni Mellal
 Arne Schumann, Eduardo Monari
 Fraunhofer Institute for Optronics, System Technologies and Image Exploitation
 {arne.schumann,"

-607850dc8e640c25f027f2eee202dee5605cf27c,A Survey on Face Detection and Recognition Techniques in Different Application Domain,"I.J. Modern Education and Computer Science, 2014, 8, 34-44
-Published Online August 2014 in MECS (http://www.mecs-press.org/)
-DOI: 10.5815/ijmecs.2014.08.05
-A Survey on Face Detection and Recognition
-Techniques in Different Application Domain
-Subrat Kumar Rath, Siddharth Swarup Rautaray
-School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India
-related
-technology
-recognition,
-to  biometric  science
-the  popularity  and"

 60bc358296ae11ac8f11286bba0a49ac7e797d26,Diverse Image-to-Image Translation via Disentangled Representations,"Diverse Image-to-Image Translation via
 Disentangled Representations
 Hsin-Ying Lee(cid:63)1, Hung-Yu Tseng(cid:63)1, Jia-Bin Huang2, Maneesh Singh3,
@@ -5322,14 +4529,6 @@ Output
 Fig. 1: Unpaired diverse image-to-image translation. (Lef t) Our model
 learns to perform diverse translation between two collections of images without
 ligned training pairs. (Right) Example-guided translation."

-60ec284f67c1012419e5dea508d1bae4bc144bb2,Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor,"Proc. of Int. Conf. on  Recent Trends in Signal Processing, Image Processing and VLSI, ICrtSIV
-Curvelet Based Multiresolution Analysis of Face
-Images for Recognition using Robust Local Binary
-Pattern Descriptor
-Nagaraja S. and Prabhakar C.J
-Department of P.G. Studies and Research in Computer Science,
-Kuvempu University, Karnataka, India
-Email: { nagarajas27, psajjan"

 608c5103ad8e745b98dfe92ef33b66b93f01b051,Amélioration de performance de la navigation basée vision pour la robotique autonome : une approche par couplage vision/commande. (Performance improvment of vision-based navigation for autonomous robotics : a vision and control coupling approach),"Amélioration de performance de la navigation basée
 vision pour la robotique autonome : une approche par
 ouplage vision/commande
@@ -5404,9 +4603,6 @@ Signals and systems group, Faculty of Electrical Engineering, Mathematics and Co
 G. M. Beumer, and R.N.J. Veldhuis
 Twente, Enschede, The Netherlands
 Email:"

-60e2b9b2e0db3089237d0208f57b22a3aac932c1,Frankenstein: Learning Deep Face Representations Using Small Data,"Frankenstein: Learning Deep Face Representations
-using Small Data
-Guosheng Hu, Member, IEEE, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, and Jakob Verbeek"

 602ff4fd0f5bd10c9fb971ecd2317e542f070883,Object Detection from the Satellite Images using Divide and Conquer Model,"SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) – volume1 issue10 Dec 2014
 Object Detection from the Satellite Images
 using Divide and Conquer Model
@@ -5527,9 +4723,6 @@ norm as a convex surrogate of the rank operator. However, all singular values ar
 thus the rank may not be well approximated in practical problems. In this paper, we propose using a log-determinant (LogDet)
 function as a smooth and closer, though nonconvex, approximation to rank for obtaining a low-rank representation in subspace
 lustering. Augmented Lagrange multipliers strategy is applied to iteratively optimize the LogDet-based nonconvex objective"

-60f7de07de4d090990120483bd5407369b29a120,ℓ₁-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.,"L1-Norm Heteroscedastic Discriminant Analysis
-under Mixture of Gaussian Distributions
-Wenming Zheng, Member, IEEE, Cheng Lu, Zhouchen Lin, Fellow, IEEE, Tong Zhang, Zhen Cui, Wankou Yang"

 60efdb2e204b2be6701a8e168983fa666feac1be,Transferring Deep Object and Scene Representations for Event Recognition in Still Images,"Int J Comput Vis
 DOI 10.1007/s11263-017-1043-5
 Transferring Deep Object and Scene Representations for Event
@@ -5538,9 +4731,6 @@ Limin Wang1
 · Zhe Wang2 · Yu Qiao3 · Luc Van Gool1
 Received: 31 March 2016 / Accepted: 1 September 2017
 © Springer Science+Business Media, LLC 2017"

-60b66ec51ddadd132453f700d1781e8e7a8f78c8,Self-Validated Labeling of Markov Random Fields for Image Segmentation,"Self-Validated Labeling of Markov Random
-Fields for Image Segmentation
-Wei Feng, Jiaya Jia, Member, IEEE, and Zhi-Qiang Liu"

 77db171a523fc3d08c91cea94c9562f3edce56e1,Gauss-Laguerre wavelet textural feature fusion with geometrical information for facial expression identification,"Poursaberi et al. EURASIP Journal on Image and Video Processing 2012, 2012:17
 http://jivp.eurasipjournals.com/content/2012/1/17
 R ES EAR CH
@@ -5665,16 +4855,8 @@ Dayananda Sagar College of Engineering, Bangalore, India.
 Sai-Tektronix Pvt. Ltd., Bangalore, India.
 University Visvesvaraya College of Engineering, Bangalore, India.
 dK.S. Institute of Technology, Bangalore, India."

-7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,"Action Classification and Highlighting in Videos
-Atousa Torabi
-Disney Research Pittsburgh
-Leonid Sigal
-Disney Research Pittsburgh"

 77c7f5c5852c189b59c34ebbbbec03e5e4060428,Talking to Robots : Learning to Ground Human Language in Perception and Execution,"(cid:13)Copyright 2014
 Cynthia Matuszek"

-7754b708d6258fb8279aa5667ce805e9f925dfd0,Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships,"Facial Action Unit Recognition by Exploiting
-Their Dynamic and Semantic Relationships
-Yan Tong, Student Member, IEEE, Wenhui Liao, Member, IEEE, and Qiang Ji, Senior Member, IEEE"

 77acb8847a76bfcc925f45387fb7abd4f2bd38ac,A novel polar-based human face recognition computational model.,"Novel polar-based human face recognition computational model
 Brazilian Journal of Medical and Biological Research (2009) 42: 637-646
 ISSN 0100-879X
@@ -5776,15 +4958,6 @@ Selection of our books indexed in the Book Citation Index
 in Web of Science™ Core Collection (BKCI)
 Interested in publishing with us?
 Contact"

-778952cc94d5baa5132ffbe2cf342f80032f5f73,Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns,"International Journal of Computer Applications (0975 – 8887)
-Volume 182 – No. 13, September 2018
-Comparative Analysis of Techniques for the Recognition
-of Stabbed Wound and Accidental Wound Patterns
-Dayanand G. Savakar
-Department of Computer Science
-Rani Channamma University, Belagavi
-INDIA
-schemas  of"

 778c9f88839eb26129427e1b8633caa4bd4d275e,Pose pooling kernels for sub-category recognition,"Pose Pooling Kernels for Sub-category Recognition
 Ning Zhang
 ICSI & UC Berkeley
@@ -5799,10 +4972,6 @@ Judy Hoffman
 Li Fei-Fei
 CS Department Stanford University
 {tgebru, jhoffman,"

-772d15efe06d741b4ab7c5524c5384406731a3f7,Random Sampling and Locality Constraint for Fast Face Sketch Synthesis,"> A SUBMISSION TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS<
-Random Sampling and Locality Constraint for Fast
-Face Sketch Synthesis
-Nannan Wang, Member, IEEE, and Xinbo Gao, Senior Member, IEEE, and Jie Li"

 77d0c4ed1c2d971b3e81fe7919be7a5a19309f40,Deep Generative Modeling of LiDAR Data,"Deep Generative Modeling of LiDAR Data
 Lucas Caccia1,2, Herke van Hoof1,4, Aaron Courville2,3, Joelle Pineau1,2,3"

 7789252476073a77e80fb0668eecf94a99b81d8d,Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition,"Fast Landmark Localization
@@ -5866,10 +5035,6 @@ Department of Psychology, Faculty of Humanities and Social Sciences,
 University of Zagreb, Croatia
 Ana Marija Španić
 Child Protection Center of Zagreb, Zagreb, Croatia"

-7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,"A Unified Tensor-based Active Appearance Face
-Model
-Zhen-Hua Feng, Member, IEEE, Josef Kittler, Life Member, IEEE, William Christmas, and Xiao-Jun Wu,
-Member, IEEE"

 776b77306bdb852c89a22ba142fb57c8e8bb7bb5,Efficient On-Board Stereo Vision Pose Estimation,"Ef‌f‌icient On-Board Stereo Vision
 Pose Estimation(cid:2)
 Angel D. Sappa1, Fadi Dornaika2, David Ger´onimo1, and Antonio L´opez1
@@ -5887,17 +5052,6 @@ Zhiqiang Zhang2 Gang Yu
 Jian Sun
 Megvii Inc. (Face++), {chenyilun, wangzhicheng, pyx, zhangzhiqiang, yugang,
 Tsinghua University 2HuaZhong University of Science and Technology"

-9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,"A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot
-School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China
-Huailin Zhao
-School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China
-Shunzhou Wang
-School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China
-Shifang Xu
-School of Computer Science and Information Engineering ,Shanghai Institute of Technology, Shanghai, China
-Yani Zhang
-Masanori Sugisaka
-Alife Robotics Corporation LTD, Oita, Japan"

 9a03b7b71a82fc2c86b3b4cbec802dfc16978486,One-Shot Observation Learning,"One-Shot Observation Learning
 Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes"

 9a1a9dd3c471bba17e5ce80a53e52fcaaad4373e,Automatic Recognition of Spontaneous Facial Actions,"Automatic Recognition of Spontaneous Facial
@@ -5937,16 +5091,6 @@ Support Vector Machines
 Porawat Visutsak
 Department of Information Technology, Faculty of Industrial Technology and Management,
 King Mongkut’s University of Technology North Bangkok,"

-9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Pain Intensity Evaluation Through Facial Action
-Units
-Zuhair Zafar
-Dept. of Electrical Engineering, SBASSE,
-Lahore University of Management Sciences,
-Lahore, Pakistan
-Nadeem Ahmad Khan
-Dept. of Electrical Engineering, SBASSE,
-Lahore University of Management Sciences,
-Lahore, Pakistan"

 9a08459b0cb133f0f4352c58225446f9dc95ecc4,Metadata of the chapter that will be visualized in SpringerLink,"Metadata of the chapter that will be visualized in
 SpringerLink
 Book Title
@@ -6084,23 +5228,6 @@ Vergara, Diego∗1, Hern´andez, Sergio∗2, Valdenegro-Toro, Mat´ıas∗∗3 a
 Laboratorio de Procesamiento de Informaci´on Geoespacial, Universidad Cat´olica del Maule, Chile.
 German Research Centre for Artificial Intelligence, Bremen, Germany.
 Email:"

-0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,"Descriptive Visual Words and Visual Phrases for Image
-Shiliang Zhang1, Qi Tian2, Gang Hua3, Qingming Huang4, Shipeng Li2
-Applications
-Key Lab of Intelli. Info.
-Process., Inst. of Comput.
-Tech., CAS, Beijing 100080,
-China
-Microsoft Research Asia,
-Beijing 100080, China
-Microsoft Live Labs
-Research, Redmond, WA
-78052, U.S.A.
-Graduate University of
-Chinese Academy of
-Sciences, Beijing 100049,
-China
-{slzhang, {qitian, ganghua,"

 0cd98be65a1a645f3c9618d9920be3a3dfc77574,Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors,"Inpainting Sparse Maps using Single View Depth Predictors as Priors
 Just-in-Time Reconstruction:
 Chamara Saroj Weerasekera1, Thanuja Dharmasiri2, Ravi Garg1, Tom Drummond2 and Ian Reid1"

@@ -6118,41 +5245,12 @@ EURECOM Institute
 http:www.eurecom.fr~marchand
 To be presented in the
 nd Int. Conf. on Audio- and Video-based Biometric Person Authentication"

-0c1d40de56698e672d3906b96f47ae1361fc3912,Face Recognition Using Kernel PrincipalComponent Analysis,"Advances in Vision Computing: An International Journal (AVC) Vol.1, No.1, March 2014
-Face Recognition Using Kernel
-PrincipalComponent Analysis
-Jayanthi T and 2Dr. Aji S
-Assistant Professor,Department of Computer Applications,
-Mohandas College of Engineering and Technology, Anad, Nedumangad
-Thiruvananthapuram, India
-Assistant Professor,Department of Computer Science,University of Kerala
-Kariyavattom,Thiruvananthapuram, India"

 0c95ff762bdf6a20609f49f1eb5248de3f748866,Fine-Grained Walking Activity Recognition via Driving Recorder Dataset,"Fine-grained Walking Activity Recognition
 via Driving Recorder Dataset
 Hirokatsu Kataoka (AIST), Yoshimitsu Aoki (Keio Univ.), Yutaka Satoh (AIST)
 Shoko Oikawa (NTSEL), Yasuhiro Matsui (NTSEL)
 Email:
 http://hirokatsukataoka.net/"

-0c1d5801f2b86afa969524dc74708a78450300d9,2 : Conditional Random Fields,"0-708: Probabilistic Graphical Models 10-708, Spring 2014
-2 : Conditional Random Fields
-Lecturer: Eric P. Xing
-Scribes: Qin Gao, Siheng Chen
-Hidden Markov Model
-.1 General parametric form
-In hidden Markov model (HMM), we have three sets of parameters,
-t = 1|yi
-transition probability matrix A : p(yj
-initialprobabilities : p(y1) ∼ Multinomial(π1, π2, ..., πM ),
-emission probabilities : p(xt|yi
-t) ∼ Multinomial(bi,1, bi,2, ..., bi,K).
-t−1 = 1) = ai,j,
-.2 Inference
-The inference can be done with forward algorithm which computes αk
-) recursively by
-t ≡ µt−1→t(k) = P (x1, ..., xt−1, xt, yk
-nd the backward algorithm which computes βk
-t = 1) recursively by
-(cid:88)"

 0c5ddfa02982dcad47704888b271997c4de0674b,Model-driven and Data-driven Approaches for some Object Recognition Problems,

 0c3f7272a68c8e0aa6b92d132d1bf8541c062141,Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition,"Hindawi Publishing Corporation
 e Scientific World Journal
@@ -6247,12 +5345,6 @@ Ecole Polytechnique Federale de Lausanne, Signal Processing Institute
 Ecole Polytechnique Federale de Lausanne, Operation Research Group
 Ecublens, 1015 Lausanne, Switzerland
 Ecublens, 1015 Lausanne, Switzerland"

-0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,"ATTRIBUTE EXPANSION WITH SEQUENTIAL LEARNING FOR OBJECT
-CLASSIFICATION
-Biao Niuy, Bin Liz, Peng Liy, Xi Zhangy, Jian Chengy, Hanqing Luy
-National Laboratory of Pattern Recognition, CASIA, Beijing, China 100190
-ShiJiaZhuang Vocational Technology Institute, Hebei, China 050000
-{bniu, pli, xi.zhang, jcheng,"

 0c8d675bcd4489e886f35bee2a347c948ffee270,Semantic bottleneck for computer vision tasks,"Semantic bottleneck for computer vision tasks
 Maxime Bucher1,2, St´ephane Herbin1, and Fr´ed´eric Jurie2
 ONERA, Universit´e Paris-Saclay, FR-91123 Palaiseau, France
@@ -6301,14 +5393,6 @@ Philipps-Universit¨at Marburg
 Technicolor
 MPI for Informatics"

 0cb2dd5f178e3a297a0c33068961018659d0f443,IARPA Janus Benchmark-B Face Dataset,"© 2017 Noblis, Inc.  IARPA Janus Benchmark-B Face Dataset Cameron Whitelam, Emma Taborsky*, Austin Blanton, Brianna Maze*, Jocelyn Adams*, Tim Miller*, Nathan Kalka*, Anil K. Jain**, James A. Duncan*, Kristen Allen, Jordan Cheney*, Patrick Grother***  Noblis* Michigan State University** NIST*** 21 July 2017"

-0c922f8be9f0368c1abd53b8d9554f06b73a56cf,High-Level Fusion of Depth and Intensity for Pedestrian Classification,"High-Level Fusion of Depth and
-Intensity for Pedestrian Classification
-Marcus Rohrbach1,3,(cid:2), Markus Enzweiler2,(cid:2), and Dariu M. Gavrila1,4
-Environment Perception, Group Research, Daimler AG, Ulm, Germany
-Image & Pattern Analysis Group, Dept. of Math.
-nd Computer Science, Univ. of Heidelberg, Germany
-Dept. of Computer Science, TU Darmstadt, Germany
-Intelligent Systems Lab, Fac. of Science, Univ. of Amsterdam, The Netherlands"

 0ca475433d74abb3c0f38fbe9d212058dc771570,Learning pairwise feature dissimilarities for person re-identification,"Learning Pairwise Feature Dissimilarities
 for Person Re-Identification
 Niki Martinel
@@ -6345,10 +5429,6 @@ Eng. Jiangsu Univ. Xuefu Road
 01 Jingkou District Zhenjiang
 Prov. 212003
 supported  by"

-0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,"Automated Evaluation of Semantic Segmentation
-Robustness for Autonomous Driving
-Wei Zhou, Member, IEEE, Julie Stephany Berrio, Member, IEEE,
-Stewart Worrall, Member, IEEE, and Eduardo Nebot, Member, IEEE"

 0cf7da0df64557a4774100f6fde898bc4a3c4840,Shape matching and object recognition using low distortion correspondences,"Shape Matching and Object Recognition using Low Distortion Correspondences
 Alexander C. Berg Tamara L. Berg
 Jitendra Malik
@@ -6382,22 +5462,9 @@ Department of Computer Science,Universidade Federal de Minas Gerais, Belo Horizo
 0c03bb741972c99b71d8d733b92e5fa9430cbede,Learning rank reduced interpolation with principal component analysis,"Learning Rank Reduced Interpolation
 with Principal Component Analysis
 Matthias Ochs1, Henry Bradler1 and Rudolf Mester1,2"

-0c4659b35ec2518914da924e692deb37e96d6206,Registering a MultiSensor Ensemble of Images,"Registering a MultiSensor Ensemble of Images
-Jeff Orchard, Member, IEEE, and Richard Mann"

 0c25a4636ebde18e229f7e459f1adaab1e9a2db9,Multi-class Classification and Clustering based Multi-object Tracking,"Multi-class Classification and Clustering based
 Multi-object Tracking
 Nii Longdon Sowah, Qingbo Wu, Fanman Meng"

-0cd8fabfc8e22be8275c317e7ccd37e640711c62,Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition,"Experiments on an RGB-D Wearable Vision System
-for Egocentric Activity Recognition
-Mohammad Moghimi1, Pablo Azagra2, Luis Montesano2, Ana C. Murillo1,2 and Serge Belongie3
-UC San Diego
-La Jolla, CA
-DIIS - I3A
-University of Zaragoza, Spain
-{montesano,
-Cornell Tech
-New York, NY
-tech.cornell.edu"

 0c5f9f5083b9fca4dcdbc4b122099ac1f630728b,Visual Semantic Role Labeling,"Visual Semantic Role Labeling
 Saurabh Gupta
 UC Berkeley
@@ -6415,9 +5482,6 @@ IBM Research - Haifa, Israel
 Photometric Calibration, Motion Bias and
 Rolling Shutter Effect
 Nan Yang1,2,∗, Rui Wang1,2,∗, Xiang Gao1 and Daniel Cremers1,2"

-0c5afb209b647456e99ce42a6d9d177764f9a0dd,Recognizing action units for facial expression analysis,"Recognizing Action Units for
-Facial Expression Analysis
-Ying-li Tian, Member, IEEE, Takeo Kanade, Fellow, IEEE, and Jeffrey F. Cohn, Member, IEEE"

 0c53ef79bb8e5ba4e6a8ebad6d453ecf3672926d,Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition,"SUBMITTED TO JOURNAL
 Weakly Supervised PatchNets: Describing and
 Aggregating Local Patches for Scene Recognition
@@ -6429,30 +5493,6 @@ Humayra Binte Ali1 and David M W Powers2
 Computer Science, Engineering and Mathematics School, Flinders University, Australia
 Computer Science, Engineering and Mathematics School, Flinders University, Australia"

 0c069a870367b54dd06d0da63b1e3a900a257298,Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs,"Author manuscript, published in ""ICANN 2011 - International Conference on Artificial Neural Networks (2011)"""

-0c75c7c54eec85e962b1720755381cdca3f57dfb,Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model,"Face Landmark Fitting via Optimized Part
-Mixtures and Cascaded Deformable Model
-Xiang Yu, Member, IEEE, Junzhou Huang, Member, IEEE,
-Shaoting Zhang, Senior Member, IEEE, and Dimitris N. Metaxas, Fellow, IEEE"

-0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,"Hindawi Publishing Corporation
-Journal of Electrical and Computer Engineering
-Volume 2015, Article ID 492051, 12 pages
-http://dx.doi.org/10.1155/2015/492051
-Research Article
-Crowd Motion Analysis Based on Social Force Graph with
-Streak Flow Attribute
-Shaonian Huang,1,2 Dongjun Huang,1 and Mansoor Ahmed Khuhro1
-School of Information Science and Engineering, Central South University, Changsha 410083, China
-School of Computer and Information Engineering, Hunan University of Commerce, Changsha 420005, China
-Correspondence should be addressed to Shaonian Huang;
-Received 28 July 2015; Accepted 27 September 2015
-Academic Editor: Stefano Basagni
-Copyright © 2015 Shaonian Huang et al. This is an open access article distributed under the Creative Commons Attribution
-License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
-ited.
-Over the past decades, crowd management has attracted a great deal of attention in the area of video surveillance. Among various
-tasks of video surveillance analysis, crowd motion analysis is the basis of numerous subsequent applications of surveillance video.
-In this paper, a novel social force graph with streak flow attribute is proposed to capture the global spatiotemporal changes and
-the local motion of crowd video. Crowd motion analysis is hereby implemented based on the characteristics of social force graph."

 0cca85ee872ae6f6a4d305880b4461f152b1d808,Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video,"AUTOMATIC FRAMEWORK FOR TRACKING HONEYBEE’S ANTENNAE AND
 MOUTHPARTS FROM LOW FRAMERATE VIDEO
 Minmin Shen⋆
@@ -6493,11 +5533,6 @@ UNSUPERVISED ROBOTIC SORTING: TOWARDS
 AUTONOMOUS DECISION MAKING ROBOTS
 Joris Gu´Erin, St´Ephane Thiery, Eric Nyiri And Olivier Gibaru
 Arts et M´etiers ParisTech, Lille, FRANCE"

-0c36c988acc9ec239953ff1b3931799af388ef70,Face Detection Using Improved Faster RCNN,"Face Detection Using Improved Faster RCNN
-Changzheng Zhang, Xiang Xu, Dandan Tu*
-Huawei Cloud BU, China
-{zhangzhangzheng, xuxiang12,
-Figure1.Face detection results of FDNet1.0"

 0cdac46ec42be2d81f64ec4ee53d88be43290d52,Temporal Poselets for Collective Activity Detection and Recognition,"Temporal Poselets for Collective Activity Detection and Recognition
 Moin Nabi
 Alessio Del Bue
@@ -6521,36 +5556,12 @@ Switzerland
 Markus Gross
 ETH Zurich
 Switzerland"

-0c377fcbc3bbd35386b6ed4768beda7b5111eec6,A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding,"A Unified Probabilistic Framework
-for Spontaneous Facial Action Modeling
-nd Understanding
-Yan Tong, Member, IEEE, Jixu Chen, Student Member, IEEE, and Qiang Ji, Senior Member, IEEE"

 71766bf224d5c74a0be6996b38d8885c2eed5a2c,Fooling Vision and Language Models Despite Localization and Attention Mechanism,

 7135bed472d9a307d0612634d690c6306f5bce26,A Unified Framework for Concurrent Pedestrian and Cyclist Detection,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
 A Unified Framework for Concurrent Pedestrian
 nd Cyclist Detection
 Xiaofei Li, Lingxi Li, Fabian Flohr, Jianqiang Wang, Hui Xiong, Morys Bernhard, Shuyue Pan,
 Dariu M. Gavrila, and Keqiang Li"

-71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,"I.J. Image, Graphics and Signal Processing, 2017, 9, 59-67
-Published Online September 2017 in MECS (http://www.mecs-press.org/)
-DOI: 10.5815/ijigsp.2017.09.07
-Texture Classification based on Local Features
-Using Dual Neighborhood Approach
-Associate Professor, Dept. of C.S.E, Sri Vasavi Institute of Engineering & Technology, pedana, Andhrapradesh, India
-M. Srinivasa Rao
-Email:
-V.Vijaya Kumar
-Professor, Anurag Group of Institutions (Autonomous), Hyderabad,Telanagana, India
-Email:
-MHM KrishnaPrasad
-Professor of the Department of Computer Science and Engineering, University College of  Engineering, Kakinada
-(Autonomous), JNTUK, Andhra Pradesh, India
-Email:
-Received: 11 March 2017; Accepted: 05 July 2017; Published: 08 September 2017"

-715216a92c338a3c35319026d38ed0da0c57d013,Integrated Pedestrian and Direction Classification Using a Random Decision Forest,"Integrated Pedestrian and Direction Classification
-using a Random Decision Forest
-Junli Tao and Reinhard Klette
-University of Auckland, Auckland, New Zealand"

 71529e3e51f2967e338124652e93a3d34eb6c5e1,Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/6/2018
 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
 Deeptriplet-groupnetworkbyexploitingsymmetricandasymmetricinformationforpersonreidentificationBenzhiYuNingXuBenzhiYu,NingXu,“Deeptriplet-groupnetworkbyexploitingsymmetricandasymmetricinformationforpersonreidentification,”J.Electron.Imaging27(3),033033(2018),doi:10.1117/1.JEI.27.3.033033."

@@ -6618,16 +5629,6 @@ Combinatorial Resampling Particle Filter: an Effective and Efficient
 Method for Articulated Object Tracking
 Christophe Gonzales · S´everine Dubuisson
 Received: date / Accepted: date"

-71d3ed17c0642234a921bb45fcadd86520794941,Learning by Tracking: Siamese CNN for Robust Target Association,"Learning by tracking: Siamese CNN for robust target association
-Laura Leal-Taix´e
-TU M¨unchen
-Munich, Germany
-Cristian Canton-Ferrer
-Microsoft
-Redmond (WA), USA
-Konrad Schindler
-ETH Zurich
-Zurich, Switzerland"

 710ce8cf25f31df8547b888519b414187e989257,Amygdala activation predicts gaze toward fearful eyes.,"The Journal of Neuroscience, July 15, 2009 • 29(28):9123–9126 • 9123
 Brief Communications
 Amygdala Activation Predicts Gaze toward Fearful Eyes
@@ -6807,12 +5808,6 @@ Rana el Kaliouby
 MIT Media Lab
 Cambridge
 02139, USA"

-706600aa77ffb165097e4aeccb2b214dabdb8092,Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering,"Combining Graph-based Dependency Features with
-Convolutional Neural Network for Answer Triggering
-Deepak Gupta∗, Sarah Kohail†, Pushpak Bhattacharyya∗
-Indian Institute of Technology Patna, India
-Universit¨at Hamburg, Germany
-{deepak.pcs16,"

 70ce1a17f257320fc718d61964b21e7aeabd8cd5,Person re-identification with fusion of hand-crafted and deep pose-based body region features,"Person re-identification with fusion of hand-crafted and deep pose-based body
 region features
 Jubin Johnson1
@@ -6882,12 +5877,6 @@ Christina Katsimerou, Judith A. Redi, Ingrid Heynderickx
 Department of Intelligent Systems
 TU Delft
 Delft, The Netherlands"

-70eb48e06d9d5edf84246b772673b6d44af4b3c6,ROBUST LDP BASED FACE DESCRIPTOR,"International Journal of Advances in Engineering & Technology, Mar. 2013.
-©IJAET                                                                                                          ISSN: 2231-1963
-ROBUST LDP BASED FACE DESCRIPTOR
-Mahadeo D. Narlawar and Jaideep G. Rana
-Department of Electronics Engineering, Jawaharlal Nehru College of Engineering,
-Aurangabad-431004, Maharashtra, India"

 70c38203d9bf5ff3a6f4639a1fb13dcaab233a61,Occlusion-robust Detector Trained with Occluded Pedestrians,

 708355d319a88485fdbbea3524104982b8cf37c2,2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection,"D/3D Sensor Exploitation and Fusion for Enhanced Object Detection
 Jiejun Xu
@@ -7054,21 +6043,6 @@ Higher Order Tensors
 Shuo Zhou1, Nguyen Xuan Vinh1, James Bailey1, Yunzhe Jia1, Ian Davidson2
 Dept. of Computing and Information Systems, The University of Melbourne, Australia
 Dept. of Computer Science, University of California, Davis, USA"

-7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,"International Journal of Computer Applications (0975 – 8887)
-Volume 68– No.23, April 2013
-Facial Expression Recognition using Gabor Wavelet
-Mahesh Kumbhar
-ENTC SVERI’S COE (Poly),
-Pandharpur,
-Solapur, India
-Manasi Patil
-ENTC SVERI’S COE,
-Pandharpur,
-Solapur, India
-Ashish Jadhav
-ENTC SVERI’S COE (Poly),
-Pandharpur,
-Solapur, India"

 708a55d65568faf8158417ddfb79e728b2b28f86,3D Body Model Construction and Matching for Real Time People Re-Identification,"Eurographics Italian Chapter Conference (2010)
 E. Puppo, A. Brogni, and L. De Floriani (Editors)
 D Body Model Construction and Matching for Real Time
@@ -7107,18 +6081,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,"I.J. Image, Graphics and Signal Processing, 2017, 9, 28-39
-Published Online September 2017 in MECS (http://www.mecs-press.org/)
-DOI: 10.5815/ijigsp.2017.09.04
-An Enhanced Feature Extraction Technique for
-Diagnosis of Pathological Problems in Mango
-S. B. Ullagaddi
-Department of CSE VTU, Belagavi, Karnataka,India
-Email:
-Dr. S.Viswanadha Raju
-Department of CSE JNTUHCEJ, Nachepally, Jagtail,Telangana,India
-Email:
-Received: 19 April 2017; Accepted: 13 May 2017; Published: 08 September 2017"

 ff01bc3f49130d436fca24b987b7e3beedfa404d,Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face,"Article
 Fuzzy System-Based Face Detection Robust to
 In-Plane Rotation Based on Symmetrical
@@ -7204,25 +6166,6 @@ Dissemination Level"
 ff1b253636c878f5b464a7623f36242327e6b485,Visual Place Recognition with Probabilistic Vertex Voting,"Visual Place Recognition with Probabilistic Vertex Voting
 Mathias Gehrig, Elena Stumm, Timo Hinzmann and Roland Siegwart
 Autonomous Systems Lab, ETH Zurich"

-ff8315c1a0587563510195356c9153729b533c5b,Zapping Index:Using Smile to Measure Advertisement Zapping Likelihood,"Zapping Index:Using Smile to Measure
-Advertisement Zapping Likelihood
-Songfan Yang, Member, IEEE, Mehran Kafai, Member, IEEE,
-Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE"

-ffc06713436afc4e08bf4afa401ac52db674c5da,Neural Adaptive Content-aware Internet Video Delivery,"Neural Adaptive Content-aware
-Internet Video Delivery
-Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, and Dongsu Han, KAIST
-https://www.usenix.org/conference/osdi18/presentation/yeo
-This paper is included in the Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’18).October 8–10, 2018 • Carlsbad, CA, USAISBN 978-1-931971-47-8Open access to the Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation is sponsored by USENIX."

-ff4e8a8333e4ef506318160248c068250963806d,Gender recognition from face images using texture descriptors for human computer interaction,"www.jchps.com                                                                    Journal of Chemical and Pharmaceutical Sciences
-Gender recognition from face images using texture descriptors
-ISSN: 0974-2115
-for human computer interaction
-M.Annalakshmi1*, S.M.M.Roomi2, and S.S.Priya1
-&3Department of Electronics and Communication Engineering, Sethu Institute of Technology, Pulloor, Kariapatti
-Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai 625
-– 626 115, Virudhunagar – District, Tamilnadu, India.
-*Corresponding author: E-Mail:
-015, Tamilnadu, India"

 ffeff854e7fcf5af663497be00c86537f7d9ed11,Face recognition in JPEG compressed domain: a novel coefficient selection approach,"SIViP (2015) 9:651–663
 DOI 10.1007/s11760-013-0492-8
 ORIGINAL PAPER
@@ -7307,12 +6250,6 @@ Universitat Aut`onoma de Barcelona
 C. Alejandro Parraga
 Centre de Visi´o per Computador
 Universitat Aut`onoma de Barcelona"

-ff7bc7a6d493e01ec8fa2b889bcaf6349101676e,Facial expression recognition with spatiotemporal local descriptors,"Facial expression recognition with spatiotemporal local
-descriptors
-Guoying Zhao, Matti Pietikäinen
-Machine  Vision  Group,  Infotech  Oulu  and  Department  of  Electrical  and
-Information Engineering, P. O. Box 4500 FI-90014 University of Oulu, Finland
-{gyzhao,"

 ffae2fe85d3c93610ac6270db2ddf1f2f6779ea8,Learning pullback HMM distances for action recognition,"#****
 ICCV 2011 Submission #****. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 Learning pullback HMM distances for action recognition
@@ -7336,10 +6273,6 @@ May 29, 2017"
 fff12919cf912347776b70aa76af7635280dc401,Are object detection assessment criteria ready for maritime computer vision?,"Are object detection assessment criteria ready
 for maritime computer vision?
 Dilip K. Prasad1,∗, Deepu Rajan2, and Chai Quek2"

-fffefc1fb840da63e17428fd5de6e79feb726894,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,"Fine-Grained Age Estimation in the wild with
-Attention LSTM Networks
-Ke Zhang, Member, IEEE, Na Liu, Xingfang Yuan, Student Member, IEEE, Xinyao Guo, Ce Gao,
-nd Zhenbing Zhao Member, IEEE,"

 ffcb92719dcd993dda292ca82d4585950ea22ac9,Handwritten Digit Recognition Using Convolutional Neural Networks,"ISSN(Online): 2320-9801
 ISSN (Print):  2320-9798
 International Journal of Innovative Research in Computer
@@ -7395,10 +6328,6 @@ College of Computer Science at Chongqing University, Chongqing, 400044, P.R.C
 Eller College of Management at University of Arizona, Tucson, AZ, 85712, USA
 School of Software Engineering at Chongqing University, Chongqing, 400044, P.R.C
 dMinistry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, 400044, P.R.C"

-ab87dfccb1818bdf0b41d732da1f9335b43b74ae,Structured Dictionary Learning for Classification,"SUBMITTED TO IEEE TRANSACTIONS ON SIGNAL PROCESSING
-Structured Dictionary Learning for Classification
-Yuanming Suo, Student Member, IEEE, Minh Dao, Student Member, IEEE, Umamahesh Srinivas, Student
-Member, IEEE, Vishal Monga, Senior Member, IEEE, and Trac D. Tran, Fellow, IEEE"

 abeda55a7be0bbe25a25139fb9a3d823215d7536,Understanding Human-Centric Images: From Geometry to Fashion,"UNIVERSITATPOLITÈCNICADECATALUNYAProgramadeDoctorat:AUTOMÀTICA,ROBÒTICAIVISIÓTesiDoctoralUnderstandingHuman-CentricImages:FromGeometrytoFashionEdgarSimoSerraDirectors:FrancescMorenoNoguerCarmeTorrasMay2015"

 ab969cfae95f62d68c61830128b35786eb6c84a9,Contents 1 Introduction 2,"Contents1Introduction22Tracking:FundamentalNotions22.1Trackingbydetection........................................22.2TrackingusingFlow........................................22.3Flowmodelsfromkinematicmodels................................22.4TrackingwithProbability......................................23Tracking:Relationsbetween3Dand2D23.1KinematicInferencewithMultipleViews.............................23.2Liftingto3D............................................33.3MultipleModes,RandomizedSearchandHumanTracking....................34Tracking:DataAssociationforHumanTracking54.1DetectingHumans.........................................54.2TrackingbyMatchingRevisited..................................64.3Evaluation..............................................75MotionSynthesisandAnimation95.1Motioncapture...........................................95.2Footskate..............................................95.3ResolvingKinematicAmbiguitieswithExamples.........................95.4MotionSignalProcessing......................................95.5MotionGraphs...........................................95.6MotionPrimitives..........................................105.7EnrichingaMotionCollection...................................105.8MotionfromPhysicalConsiderations...............................105.8.1SimplifiedCharacters....................................105.8.2ModifiedPhysics......................................115.8.3ReducedDimensions....................................115.8.4ModifyingExistingMotions................................116DescribingActivities126.1WhatshouldanActivityRepresentationdo?............................126.1.1NecessaryPropertiesofanActivityRepresentation....................136.1.2WhatDataisAvailable?..................................136.2MiscellaneousMethods.......................................146.2.1ActivityRepresentationMethodsbasedaroundTemporalLogics.............146.2.2ActivityRepresentationMethodsbasedonTemplates...................146.3ActivityRepresentationusingHiddenMarkovModelsandFiniteStateRepresentations.....146.4TheSpeechAnalogy........................................146.4.1FiniteStateTransducers..................................156.4.2WhyshouldweCare?...................................156.5ActivityRecognitionMethodsbasedaroundHMM’s.......................166.6SignLanguageRecognition.....................................176.7Morerecentmaterial........................................171"

 abba22ed4713a5ee5fa91fcf7b8dde58a9b621db,Acquisition of a 3D Audio-Visual Corpus of Affective Speech,"BIWI Technical Report n. 270
@@ -7439,8 +6368,6 @@ of Saarland University
 Marcus Rohrbach, M.Sc.
 Saarbrücken
 March 2014"

-ab41364a58b34844b281046c3d8678f7d537a97e,Learning Deep Hierarchical Visual Feature Coding,"Learning Deep Hierarchical Visual Feature Coding
-Hanlin Goh, Nicolas Thome, Member, IEEE, Matthieu Cord, Member, IEEE, and Joo-Hwee Lim, Member, IEEE"

 ab450a7968555532d9ea79f81189c0d52f9c5f11,RGB-D Face Recognition in Surveillance Videos,"RGB-D Face Recognition in Surveillance Videos
 Anurag Chowdhury
 IIIT-D-MTech-CS-GEN-14-002
@@ -7581,11 +6508,6 @@ A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation
 , Shuo Li
 , and Yuri Boykov
 Kumaradevan Punithakumar"

-ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2014
-Robust Correlated and Individual Component
-Analysis
-Yannis Panagakis, Member, IEEE, Mihalis A. Nicolaou, Member, IEEE,
-Stefanos Zafeiriou, Member, IEEE, and Maja Pantic, Fellow, IEEE"

 abc66504927075c5878dc6b0d70f2d4b009a9c9a,Damaged Building Detection in the crisis areas using Image Processing Tools,

 ab8af4cb5243544e38852bb670aafe5a2fd9b3ec,Real-Time Human Detection Using Relational Depth Similarity Features,"Real-Time Human Detection using Relational
 Depth Similarity Features
@@ -7593,9 +6515,6 @@ Sho Ikemura, Hironobu Fujiyoshi
 Dept. of Computer Science, Chubu University.
 Matsumoto 1200, Kasugai, Aichi, 487-8501 Japan.
 http://www.vision.cs.chubu.ac.jp"

-ab0dd486ff270c3a5ec877aecad7f20b2ce3f670,A Two Phase Approach for Pedestrian Detection,"A Two Phase Approach for Pedestrian Detection
-Soonmin Hwang, Tae-Hyun Oh, In So Kweon
-Robotics and Computer Vision Lab., KAIST, Korea"

 ab6776f500ed1ab23b7789599f3a6153cdac84f7,A Survey on Various Facial Expression Techniques,"International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015                                                                                                   1212
 ISSN 2229-5518
 A Survey on Various Facial Expression
@@ -7635,9 +6554,6 @@ d’explications possibles d’une image donnée lorsque les connaissances, expr
 logique de description, comportent des concepts décrivant les objets mais aussi les relations
 spatiales entre ces objets. La meilleure explication est sélectionnée en exploitant les domaines
 oncrets pour évaluer le degré de satisfaction des relations spatiales entre les objets."

-ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,"Deep Class-Wise Hashing:
-Semantics-Preserving Hashing via Class-wise Loss
-Xuefei Zhe, Shifeng Chen, Member, IEEE, and Hong Yan, Fellow, IEEE"

 abb4b8f9df14f7b15aa43920d0329eccada33b97,LBP Yardımıyla Görüntüdeki Kişinin Yaşının Bulunması,"C¸ ankaya University Journal of Science and Engineering
 Volume 8 (2011), No. 1, 27–41
 LBP Yardımıyla G¨or¨unt¨udeki Ki¸sinin Ya¸sının
@@ -7658,16 +6574,6 @@ larının birle¸stirilmesiyle, y¨uz i¸cin verimli bir vekt¨orel g¨osterim �
 teme sunulan her yeni y¨uz i¸cin b¨olgesel LBP histogramı ¨uretilmekte ve ya¸s sınıflarına
 it LBP histogramlarıyla kar¸sıla¸stırılarak sınıflandırılmaktadır. Sınıflandırmada minimum
 uzaklık (minimum distance), en yakın kom¸suluk (nearest neighbor) ve k-en yakın kom¸suluk"

-abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,"Video Image Object Tracking Algorithm based
-on Improved Principal Component Analysis
-. Engineering Technology Research Center of Optoelectronic Technology Appliance, AnHui Tongling Anhui 244000,
-. Hefei University of Technology, Hefei Anhui 230009, China
-China
-Wang Liping 1, 2
-dopts
-DPCA
-lgorithm
-to  reduce  dimension  of  object"

 abb1289cfdc4c23d72d0680c3ec100eae74d4fdb,PatchMatch : A Fast Randomized Matching Algorithm with Application to Image and Video,"PatchMatch: A Fast Randomized Matching
 Algorithm with Application to Image and Video
 Connelly Barnes
@@ -7756,20 +6662,10 @@ Merantix GmbH
 Luc Van Gool
 D-ITET, ETH Zurich
 ESAT, KU Leuven"

-ae5983048e59a339c77fee89e9279a4a787ba985,Part-Based Deep Hashing for Large-Scale Person Re-Identification,"Part-based Deep Hashing for Large-scale
-Person Re-identification∗
-Fuqing Zhu, Xiangwei Kong, Member, IEEE, Liang Zheng, Member, IEEE, Haiyan Fu, Member, IEEE,
-Qi Tian, Fellow, IEEE,"

 aeff403079022683b233decda556a6aee3225065,DeepFace: Face Generation using Deep Learning,"DeepFace: Face Generation using Deep Learning
 Hardie Cate
 Fahim Dalvi
 Zeshan Hussain"

-ae33dc04adcb83a486517c48078cdd4af7dcc7c7,The adaptative local Hausdorff-distance map as a new dissimilarity measure,"The adaptative local Hausdorff-distance map
-s a new dissimilarity measure
-´Etienne Baudrier∗, Gilles Millon, Fr´ed´eric Nicolier, Su Ruan
-Centre de Recherche en STIC (CReSTIC)
-IUT de Troyes, 9, rue de Qu´ebec, 10026 TROYES CEDEX, FRANCE
-{e.baudrier, g.millon, f.nicolier,"

 ae2cf545565c157813798910401e1da5dc8a6199,Cascade of Boolean detector combinations,"Mahkonen et al. EURASIP Journal on Image and Video
 Processing  (2018) 2018:61
 https://doi.org/10.1186/s13640-018-0303-9
@@ -7952,18 +6848,6 @@ Butler, Joseph G., ""Automated Fingertip Detection"" (2012). All Theses and Diss
 https://scholarsarchive.byu.edu/etd/3164
 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in All Theses and Dissertations by an
 uthorized administrator of BYU ScholarsArchive. For more information, please contact"

-ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
-The final version of record is available at http://dx.doi.org/10.1109/TPAMI.2014.2353624
-IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. M, NO. N, MONTH YEAR
-Retrieving Similar Styles to Parse Clothing
-Kota Yamaguchi, Member, IEEE, M. Hadi Kiapour, Student Member, IEEE,
-Luis E. Ortiz, and Tamara L. Berg, Member, IEEE"

-aee90db1f66b77113b0a62701deb01ca96b6d9e6,"Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition","JUNE 2009
-Discriminant Saliency, the Detection
-of Suspicious Coincidences,
-nd Applications to Visual Recognition
-Dashan Gao, Member, IEEE, Sunhyoung Han, Student Member, IEEE, and
-Nuno Vasconcelos, Senior Member, IEEE"

 ae89b7748d25878c4dc17bdaa39dd63e9d442a0d,On evaluating face tracks in movies,"On evaluating face tracks in movies
 Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez
 To cite this version:
@@ -7984,9 +6868,6 @@ destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de
 recherche français ou étrangers, des laboratoires"

-ae299fad29ba650fbf1e14c7c95ba8ae32e095f0,Person Re-Identification by Robust Canonical Correlation Analysis,"Person Re-Identification by Robust
-Canonical Correlation Analysis
-Le An, Songfan Yang, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

 ae0322119c8d70ba98f32aeb205393dad8dd287b,OxIOD: The Dataset for Deep Inertial Odometry,"OxIOD: The Dataset for Deep Inertial Odometry
 Changhao Chen∗, Peijun Zhao∗, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni"

 ae8d5be3caea59a21221f02ef04d49a86cb80191,Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks,"Published as a conference paper at ICLR 2018
@@ -8039,10 +6920,6 @@ Prof Frédéric Jurie, rapporteur"
 07c6744e25ed01967e448a397f5d7e9d540345c3,Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval,"Effective Multi-Query Expansions: Collaborative Deep Networks for Robust
 Landmark Retrieval
 Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang"

-073bcb3b1aed5cdf7bff4e9fe46a21175f42c877,"Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly","Zero-Shot Learning - A Comprehensive
-Evaluation of the Good, the Bad and the Ugly
-Yongqin Xian, Student Member, IEEE, Christoph H. Lampert,
-Bernt Schiele, Fellow, IEEE, and Zeynep Akata, Member, IEEE"

 074061bc12af98e3c9fd7650452d896b2c03b3ac,A FPGA Implementation of Neural / Wavelet Face Detection System,"Australian  Journal  of  Basic  and  Applied  Sciences,  4(3):  379-388,  2010
 ISSN  1991-8178
 ©  2010,  INSInet  Publication
@@ -8217,26 +7094,6 @@ Facebook AI Research"
 Nathan Jones
 Formerly: Texas A&M University
 Currently: The Software Group"

-07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,"Measurement of exceptional motion in VR video contents for
-VR sickness assessment using deep convolutional autoencoder
-Hak Gu Kim
-Image and Video System Lab.,
-Electrical Engineering, KAIST,
-South Korea,
-Wissam J. Baddar
-Image and Video System Lab.,
-Electrical Engineering, KAIST,
-South Korea,
-Heoun-taek Lim
-Image and Video System Lab.,
-Electrical Engineering, KAIST,
-South Korea,
-Hyunwook Jeong
-Image and Video System Lab.,
-Electrical Engineering, KAIST,
-South Korea,
-Yong Man Ro*
-Image and Video System Lab.,"

 0726152a1c1a5723ac34d54abec0dc8d4659598e,Realtime Image Matching for Vision Based Car Navigation with Built-in Sensory Data,"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3/W2, 2013
 ISA13 - The ISPRS Workshop on Image Sequence Analysis 2013, 11 November 2013, Antalya, Turkey"

 073c5c27f26c9d174e2ee060b27a090457e3f774,Backprop KF: Learning Discriminative Deterministic State Estimators,"Backprop KF: Learning Discriminative Deterministic
@@ -8312,12 +7169,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,"Object-centric Auto-encoders and Dummy Anomalies
-for Abnormal Event Detection in Video
-Radu Tudor Ionescu1,2,3, Fahad Shahbaz Khan1, Mariana-Iuliana Georgescu2,3, Ling Shao1
-Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
-University of Bucharest, 14 Academiei, Bucharest, Romania
-SecurifAI, 21 Mircea Vod˘a, Bucharest, Romania"

 07ca470ed3be3a476b6fc1917bbbf4182846d1db,Transforming sensor data to the image domain for deep learning — An application to footstep detection,"Transforming Sensor Data to the Image Domain for
 Deep Learning - an Application to Footstep
 Detection
@@ -8329,9 +7180,6 @@ TU Kaiserslautern, Germany
 DFKI, Kaiserslautern, Germany
 M onit ki.de, r.ch
 ki.de, P ki.de,"

-07625af8d73142e239b5cdccb1dd226648e4b0d4,Learning Scene-Independent Group Descriptors for Crowd Understanding,"Learning Scene-Independent Group Descriptors for
-Crowd Understanding
-Jing Shao, Chen Change Loy, Member, IEEE, and Xiaogang Wang, Member, IEEE"

 072fd0b8d471f183da0ca9880379b3bb29031b6a,Image-to-Image Translation with Conditional Adversarial Networks,"Image-to-Image Translation with Conditional Adversarial Networks
 Phillip Isola
 Jun-Yan Zhu
@@ -8381,26 +7229,6 @@ Anonymous Author(s)
 Affiliation
 Address
 email"

-f0304ea9943e96e645b8702c2810cca517439465,Automatic Diagnosis of Diabetic Retinopathy by Hybrid Multilayer Feed Forward Neural Network Ms,"ISSN: 2278 – 7798
-International Journal of Science, Engineering and Technology Research (IJSETR)
-Volume 2, Issue 9, September 2013
-Automatic Diagnosis of Diabetic Retinopathy by
-Hybrid Multilayer Feed Forward Neural Network
-Ms. Rupa V. Lichode
-M. Tech ( Computer Science and Engineering )
-IVth    Semester
-R.C.E.R.T. Chandrapur
-Abtract--  For  a  particularly  long  time,  Automatic  diagnosis  of
-diabetic  retinopathy  from  digital  fundus  images  has  been  an  active
-research  topic  in  the  medical  image  processing  community.  This
-paper  describes  what  is  the  diagnosis  of  Diabetic  Retinopathy  by
-various image processing techniques and how proposed work can be
-help  to  enhace  it  further.  In  the  beginning  section  introduction
-provides  the  terminology  related  to  DR  like  fundus  images  with
-different  types  of  stages  in  Diabetic  Retinopathy  as  NPDR(  Non
-Proliferative  DR)  and  PDR(  Proliferative  DR)    levels.  Further
-sections describes different features extraction of  Fundus images like
-exudates, microaneurysms, optic Disc, macula, blood vessels, texture"

 f05358fb80283f0f242215d459367bddce810cd0,An Efficient Video to Video Face Recognition using Neural Networks,"An Efficient Video to Video Face Recognition using Neural Networks
 {tag}                                                 {/tag}
 International Journal of Computer Applications
@@ -8434,17 +7262,6 @@ Clayton Mellina: and David A. Shamma§‹
 f07956d0031ff046c5c719296f7916d7897fdd21,A Flexible Real-Time Control System for Autonomous Vehicles,"A Flexible Real-Time Control System for Autonomous Vehicles.
 Johannes Meyer, Armin Strobel
 Institute of Flight Systems and Automatic Control, Technische Universität Darmstadt, Germany 1"

-f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,"Proceedings of Machine Learning Research 77:471–486, 2017
-ACML 2017
-Learning Deep Semantic Embeddings for Cross-Modal
-Retrieval
-Cuicui Kang
-No.89A Minzhuang Road, Beijing, China
-Shengcai Liao∗
-No.95 Zhuangguancun East Road, Beijing, China
-Zhen Li, Zigang Cao, Gang Xiong
-No.89A Minzhuang Road, Beijing, China
-Editors: Yung-Kyun Noh and Min-Ling Zhang"

 f040e4fcedca0c07788ecb6e92ad246b9c1697a9,REAL-TIME MULTIPLE HEAD TRACKING USING TEXTURE AND COLOUR CUES,"REAL-TIME MULTIPLE HEAD TRACKING
 USING TEXTURE AND COLOUR CUES
 Vasil Khalidov        Jean-Marc Odobez
@@ -8485,9 +7302,6 @@ Masaki Saito∗
 Eiichi Matsumoto∗
 Preferred Networks inc., Japan
 {msaito,"

-f08266cea120e8aa091983da5269ee5e35febe75,Semantic Diversity versus Visual Diversity in Visual Dictionaries,"Semantic Diversity versus Visual Diversity
-in Visual Dictionaries
-Ot´avio A. B. Penatti, Sandra Avila, Member, IEEE, Eduardo Valle, Ricardo da S. Torres, Member, IEEE"

 f0cc615b14c97482faa9c47eb855303c71ff03a7,Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes,"SIViP
 DOI 10.1007/s11760-015-0817-x
 ORIGINAL PAPER
@@ -8499,12 +7313,6 @@ Received: 4 June 2015 / Revised: 19 August 2015 / Accepted: 10 September 2015
 f0b77702c8f2249ee1f48e51ff9b86faffe177c9,Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation,"Reformulating Level Sets as Deep Recurrent Neural Network Approach
 to Semantic Segmentation
 Ngan Le 1 Kha Gia Quach 1 2 Khoa Luu 1 Marios Savvides 1 Chenchen Zhu 1"

-f0d29be1a93158d320bef285442f63bb090f6c31,An Online and Flexible Multi-Object Tracking Framework using Long Short-Term Memory,"An Online and Flexible Multi-Object Tracking Framework using Long
-Short-Term Memory
-Xingyu Wan, Jinjun Wang, Sanping Zhou
-Xi’an Jiaotong University
-Institute of Artificial Intelligence and Robotics
-8 West Xianning Road, Xi’an, Shaanxi, China, 710049"

 f0e609a2e11a093273c0d8e3321e7b20eaca46e9,Closing the gap towards end-to-end autonomous vehicle system,"Closing the gap towards
 end-to-end autonomous vehicle system
 Yonatan Glassner∗, Liran Gispan∗, Ariel Ayash∗, and Tal Furman Shohet∗
@@ -8562,10 +7370,6 @@ Copyright © 2014 by the American Physiological Society."
 f0dd265dfbe9ffe86ca56ba053335626720059a3,CNN Fixations: An unraveling approach to visualize the discriminative image regions,"CNN Fixations: An unraveling approach to
 visualize the discriminative image regions
 Konda Reddy Mopuri*, Utsav Garg*, R. Venkatesh Babu, Senior Member, IEEE"

-f0c99016daf4ff2dcc2cde13822714155435128e,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,"No Blind Spots: Full-Surround Multi-Object
-Tracking for Autonomous Vehicles using
-Cameras & LiDARs
-Akshay Rangesh, Member, IEEE, and Mohan M. Trivedi, Fellow, IEEE"

 f074f216e6eecd1be64398fdf1e06927b94c8df8,Classifying Faces with Non-negative Matrix Factorization,"Classifying Faces with Non-negative Matrix
 Factorization
 David Guillamet , Jordi Vitri`a
@@ -8573,18 +7377,6 @@ Computer Vision Center, Dept. Inform`atica
 Universitat Aut`onoma de Barcelona
 08193 Bellaterra, Barcelona, Spain"

 f00e51ec0e3894bdb2977a01824f37b15bb82c6e,A Gaussian Approximation of Feature Space for Fast Image Similarity,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2012-032October 1, 2012A Gaussian Approximation of Feature Space for Fast Image Similarity Michael Gharbi, Tomasz Malisiewicz, Sylvain Paris, and FrØdo Durand"

-f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,"International Journal of Signal Processing, Image Processing and Pattern Recognition
-Vol.9, No.5 (2016), pp.159-172
-http://dx.doi.org/10.14257/ijsip.2016.9.5.14
-Ear Structure Feature Extraction Based on Multi-scale Hessian
-Matrix
-,Ban Xiaojuan*1, Wang Guosheng3 and Tian Ying2
-Ma Chi1,2,3
-School of Computer & Communication Engineering, University of Science and
-College of Software, University of Science and Technology LiaoNing, Anshan,
-Technology Beijing, Beijing, China
-Beihai Yinhe Industry Investment Co.,Ltd., Beihai, China
-China"

 cfffae38fe34e29d47e6deccfd259788176dc213,Training bookcowgrass flower ? ? water sky doggrass water boat water chair road ? cow grass chair grass dog building ?,"TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, DECEMBER 2012
 Matrix Completion for Weakly-supervised
 Multi-label Image Classification
@@ -8623,14 +7415,6 @@ Linear Discriminant Analysis vs. Logistic Regression
 Benjamin Quost · Thierry Denœux ·
 Shoumei Li
 Received: date / Accepted: date"

-cfd933f71f4a69625390819b7645598867900eab,Person Authentication Using Face And Palm Vein : A Survey Of Recognition And Fusion Techniques,"INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 03                       55
-ISSN 2347-4289
-Person Authentication Using Face And Palm Vein:
-A Survey Of Recognition And Fusion Techniques
-Preethi M, Dhanashree Vaidya, Dr. S. Kar, Dr. A. M. Sapkal, Dr. Madhuri A. Joshi
-Dept. of Electronics and Telecommunication, College of Engineering, Pune, India,
-Image Processing & Machine Vision Section, Electronics & Instrumentation Services Division, BARC
-Email:"

 cfbfcf538c1c9bbf170a524995098fe4aacde374,Symmetric generalized low rank approximations of matrices,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
 ICASSP 2012"

 cfbb2d32586b58f5681e459afd236380acd86e28,Improving alignment of faces for recognition,"Improving Alignment of Faces for Recognition
@@ -8642,14 +7426,6 @@ D´epartement de g´enie informatique et g´enie logiciel
 ´Ecole Polytechnique de Montr´eal,
 Qu´ebec, Canada
 Qu´ebec, Canada"

-cf7e6d057e6ef01904770be3dfc9da29f9c1e197,An Adaptive Detection Method of Multiple Faces,"TELKOMNIKA Indonesian Journal of Electrical Engineering
-Vol.12, No.4, April 2014, pp. 2743 ~ 2752
-DOI: http://dx.doi.org/10.11591/telkomnika.v12i4.4368
-An Adaptive Detection Method of Multiple Faces
-      2743
-China West Normal University, No. 1 Shida Road, Computer School, Nanchong, China
-*Corresponding author, e-mail:
-Wei Li"

 cf40951840bfa9b8721d722e9422c73e3a6fbf59,Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras,"Real-time appearance-based person re-identification
 over multiple KinectTMcameras
 Riccardo Satta, Federico Pala, Giorgio Fumera and Fabio Roli
@@ -8726,11 +7502,6 @@ Université de Sherbrooke, 2MILA, Université de Montréal, 3Rice University, 4I
 {simon.brodeur, luca.celotti,
 {florian.golemo,
 {ankesh.anand,"

-cfc9056155bf32648448b588a752f694b4e8249c,Combining Contrast Information and Local Binary Patterns for Gender Classification,"Combining Contrast Information and Local
-Binary Patterns for Gender Classification
-Juha Ylioinas, Abdenour Hadid, and Matti Pietik¨ainen
-Machine Vision Group, PO Box 4500,
-FI-90014 University of Oulu, Finland"

 cf6527d8d42a9958eea7d8d1f90ea4c86d591408,Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors,"Article
 Convolutional Neural Network-Based Classification
 of Driver’s Emotion during Aggressive and Smooth
@@ -8824,13 +7595,6 @@ If  not Barney, then what would  be  an example  of  a  computa-
 tional system that has emotions? I am not a philosopher, and this
 paper will not be  a  discussion  of  the meaning  of  this question in
 ny philosophical sense. However, as an engineer I am interested"

-cfb3c1c395b146021a70ae9d5cf7c76854108a86,S-Log: Skin based Log-Gabor Approach for Face Detection in Video,"S-Log: Skin based Log-Gabor Approach for Face Detection in Video
-Rajeshwari J1, K. Karibasappa2, Gopalkrishna M.T3
-Dayanada Sagar College of Engineering
-Oxford College of Engineering
-K.S. School of Engineering and Management
-Computer Science and Engineering Department
-Bangalore, India"

 cfc22c35ad191cf9d70f4a3655840748b0e1322c,Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras,"Real-Time Dense Mapping
 for Self-Driving Vehicles using Fisheye Cameras
 Zhaopeng Cui1, Lionel Heng2, Ye Chuan Yeo2, Andreas Geiger3, Marc Pollefeys1,4, and Torsten Sattler1"

@@ -8860,26 +7624,6 @@ Herzliya, Israel 4672560
 Eduard Oks
 Amazon Lab 126
 Herzliya, Israel 4672560"

-75f0d2d8aae00da73e4122c712ad230cfebe7729,AMassively Parallel Face Recognition System,"Hindawi Publishing Corporation
-EURASIP Journal on Embedded Systems
-Volume 2007, Article ID 72316, 13 pages
-doi:10.1155/2007/72316
-Research Article
-A Massively Parallel Face Recognition System
-Olli Lahdenoja,1, 2 Mika Laiho,1 Janne Maunu,1, 2 and Ari Paasio1
-Department of Information Technology, University of Turku, Joukahaisenkatu 3-5, 20014 Turku, Finland
-Turku Centre for Computer Science (TUCS), University of Turku, Joukahaisenkatu 3-5 B, 6th floor, 20520 Turku, Finland
-Received 12 April 2006; Revised 31 August 2006; Accepted 5 October 2006
-Recommended by Heinrich Garn
-We present methods for processing the LBPs (local binary patterns) with a massively parallel hardware, especially with CNN-UM
-(cellular nonlinear network-universal machine). In particular, we present a framework for implementing a massively parallel face
-recognition system, including a dedicated highly accurate algorithm suitable for various types of platforms (e.g., CNN-UM and
-digital FPGA). We study in detail a dedicated mixed-mode implementation of the algorithm and estimate its implementation cost
-in the view of its performance and accuracy restrictions.
-Copyright © 2007 Olli Lahdenoja et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-INTRODUCTION
-Face recognition is easy for humans but extremely dif‌f‌icult"

 75522dfc1610c8765185c4344d97db33e1af5047,3D Human Body-Part Tracking and Action Classification Using A Hierarchical Body Model,"RASKIN, RUDZSKY, RIVLIN: BODY-PART TRACKING AND ACTION CLASSIFICATION
 D Human Body-Part Tracking and Action
 Classification Using a Hierarchical Body
@@ -8890,10 +7634,6 @@ Ehud Rivlin
 Computer Science Department
 Technion -Israel Institute of Technology
 Haifa, Israel, 3200"

-75d571d53eb250e222d66461fa2400956b40eaa9,What Makes a Photograph Memorable?,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
-What makes a photograph memorable?
-Phillip Isola, Jianxiong Xiao, Member, IEEE, Devi Parikh, Member, IEEE, Antonio Torralba, Member, IEEE,
-nd Aude Oliva"

 758d7e1be64cc668c59ef33ba8882c8597406e53,"AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild","IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
 AffectNet: A Database for Facial Expression,
 Valence, and Arousal Computing in the Wild
@@ -8939,9 +7679,6 @@ Trento, Italy
 Universit`a degli Studi di Genova,
 Genova, Italy
 Site Spa, Bologna, Italy"

-754fa133a250d824c50b4c3b9c73975059954f41,Siamese Learning Visual Tracking: A Survey.,"Siamese Learning Visual Tracking: A Survey
-Roman Pflugfelder, Member, IEEE
-(Draft Article)"

 759a3b3821d9f0e08e0b0a62c8b693230afc3f8d,Attribute and simile classifiers for face verification,"Attribute and Simile Classifiers for Face Verification
 Neeraj Kumar
 Alexander C. Berg
@@ -8988,18 +7725,6 @@ facial  range  images  from  130  persons  with  normal  facial
 expressions.  The  processing  time  of  the  recognition  system  is
 etter  than  3LMS.  Moreover,  it  is  6  times  faster  without  any
 hange of recognition rate. Memory size of this experimental was"

-7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,"Harpreet Kaur Bhatia et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.6, June- 2014, pg. 816-824
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 3, Issue. 6, June 2014, pg.816 – 824
-RESEARCH ARTICLE
-A Practical Approach for Determination
-of Human Gender & Age
-Harpreet Kaur Bhatia1, Ahsan Hussain2
-CSE Dept. & CSVTU University, India
-CSE Dept. & CSVTU University, India"

 75827a2021ac2ad2256144b2a2fe301948d39b51,AI Benchmark: Running Deep Neural Networks on Android Smartphones,"AI Benchmark: Running Deep Neural Networks
 on Android Smartphones
 Andrey Ignatov
@@ -9056,14 +7781,6 @@ Jianan Li Xiaodan Liang Yunchao Wei
 Tingfa Xu
 Jiashi Feng
 Shuicheng Yan"

-75a92d92ee59555c847973a7422d7356514cde2d,Exploiting Multiple Detections for Person Re-Identification,"Article
-Exploiting Multiple Detections for
-Person Re-Identification
-Amran Bhuiyan *, Alessandro Perina and Vittorio Murino
-Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Via Morego 30,
-6163 Genova, Italy; (A.P.); (V.M.)
-* Correspondence: Tel.: +39-331-803-7176
-Received: 18 November 2017; Accepted: 11 January 2018; Published: 23 January 2018"

 75879ab7a77318bbe506cb9df309d99205862f6c,Analysis of emotion recognition from facial expressions using spatial and transform domain methods,"Analysis Of Emotion Recognition From Facial
 Expressions Using Spatial And Transform Domain
 Methods
@@ -9122,21 +7839,11 @@ August 2, 2017"
 978-1-4799-2893-4/14/$31.00 ©2014 IEEE
 Long Xu1, Chen Gong1, Jie Yang1(cid:3), Qiang Wu2, Lixiu Yao1
 . INTRODUCTION"

-75cf72819b8741777a961157f43d994238219f5e,Crowd Behavior Detection for Abnormal Conditions,"International Journal of Computer Systems (ISSN: 2394-1065), Volume 03– Issue 06, June, 2016
-Available at http://www.ijcsonline.com/
-Crowd Behavior Detection for Abnormal Conditions
-Aniket A. Patil, Prof. S. A. Shinde
-Department of Computer Engineering,
-Savitribai Phule Pune University, Pune, India"

 75e4efae6de6d1ac787a6ca381fb49381fcb062b,Hierarchical Representation Learning for Kinship Verification,"IEEE TRANSACTIONS ON IMAGE PROCESSING
 Hierarchical Representation Learning for Kinship
 Verification
 Naman Kohli, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, Richa Singh, Senior Member, IEEE,
 Afzel Noore, Senior Member, IEEE, and Angshul Majumdar, Senior Member, IEEE"

-7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,"DRAFT
-Transfer for Person Re-identification
-Qin Zhou, Heng Fan, Hua Yang, Member, IEEE, Hang Su, Member, IEEE, Shibao Zheng, Member, IEEE,
-Shuang Wu, and Haibin Ling, Member, IEEE"

 75cb21fa931e957941c0237a1030aa36209bae36,GAUSSIAN PROCESS FOR ACTIVITY MODELING AND ANOMALY DETECTION,"GAUSSIAN PROCESS FOR ACTIVITY MODELING AND ANOMALY DETECTION
 Wentong Liaoa, Bodo Rosenhahna, Michael Ying Yangb
 Institute for Information Processing, Leibniz University Hannover, Germany
@@ -9182,16 +7889,6 @@ Zenilton Kleber Gonçalves do Patrocínio Júnior 2
 Silvio Jamil Ferzoli Guimarães 2"

 cc5a62bd7c45a9ca479506acb572566331354fa3,Eye localization through multiscale sparse dictionaries,"Eye Localization through Multiscale Sparse Dictionaries
 Fei Yang, Junzhou Huang, Peng Yang and Dimitris Metaxas"

-ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across MultiView Videos and under Varying Illumination , Facial Expressions","Recognize Faces across Multi-View Videos and
-under Varying Illumination, Facial Expressions
-Research Scholar, Dept. Electronics & Communication Engineering,
-Mr. Steven Lawrence Fernandes1
-Karunya University,
-Coimbatore, Tamil Nadu, India
-Professor, Dept. Electronics & Communication Engineering,
-Dr. G. Josemin Bala2
-Karunya University,
-Coimbatore, Tamil Nadu, India"

 cc09cf5831fcae802ed2905a61ab502956655bbe,Shape-based instance detection under arbitrary viewpoint,"Shape-based instance detection under arbitrary
 viewpoint
 Edward Hsiao and Martial Hebert"

@@ -9213,15 +7910,6 @@ we present ways to apply these techniques to Database
 Cinema and other aspects of film and video creation.
 PROJECT DATE 2014
 URL http://misharabinovich.com/soyummy.html"

-cc8e378fd05152a81c2810f682a78c5057c8a735,Expression Invariant Face Recognition System based on Topographic Independent Component Analysis and Inner Product Classifier,"International Journal of Computer Sciences and Engineering    Open Access
-Research Paper                                          Volume-5, Issue-12                                          E-ISSN: 2347-2693
-Expression Invariant Face Recognition System based on Topographic
-Independent Component Analysis and Inner Product Classifier
-Aruna Bhat
-Department of Electrical Engineering, IIT Delhi, New Delhi, India
-*Corresponding Author:
-Available online at: www.ijcseonline.org
-Received: 07/Nov/2017, Revised: 22/Nov/2017, Accepted: 14/Dec/2017, Published: 31/Dec/2017"

 cc91001f9d299ad70deb6453d55b2c0b967f8c0d,Performance Enhancement of Face Recognition in Smart TV Using Symmetrical Fuzzy-Based Quality Assessment,"OPEN ACCESS
 ISSN 2073-8994
 Article
@@ -9267,14 +7955,6 @@ ny patent, copyright, trademark or other property or proprietary rights.
 UWE accepts no liability for any infringement of intellectual property rights
 in any material deposited but will remove such material from public view pend-
 ing investigation in the event of an allegation of any such infringement."

-ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b,Nutraceuticals and Cosmeceuticals for Human Beings – An Overview,"American Journal of Food Science and Health
-Vol. 2, No. 2, 2016, pp. 7-17
-http://www.aiscience.org/journal/ajfsh
-ISSN: 2381-7216 (Print); ISSN: 2381-7224 (Online)
-Nutraceuticals and Cosmeceuticals for Human
-Beings–An Overview
-R. Ramasubramania Raja*
-Department of Pharmacognosy, Narayana Pharmacy College, Nellore, India"

 cca228b47a603a9b9e2a1e3a1b278b35612d078d,Randomized Face Recognition on Partially Occluded Images,"Randomized Face Recognition on Partially
 Occluded Images
 Ariel Morelli Andres, Sebastian Padovani, Mariano Tepper, Marta Mejail, and
@@ -9285,18 +7965,6 @@ cc9f473584c1a7f224b42d4a3a3ea2864173cc28,Hephaestus: Data Reuse for Accelerating
 Accelerating Scientific Discovery
 Jennie Duggan
 Northwestern EECS"

-cc5d91b20c8769d1f040ff9a5166f76cc19d2d55,Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,"Self-supervised learning of visual features through embedding images into text
-topic spaces
-Lluis Gomez∗
-Computer Vision Center, UAB, Spain
-Marc¸al Rusi˜nol
-Computer Vision Center, UAB, Spain
-Yash Patel∗
-CVIT, KCIS, IIIT Hyderabad, India
-Dimosthenis Karatzas
-Computer Vision Center, UAB, Spain
-C.V. Jawahar
-CVIT, KCIS, IIIT Hyderabad, India"

 cca198ae698e7956992f2fb326c04965b2964a18,Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation,"Learning Pain from Emotion: Transferred HoT
 Data Representation for Pain Intensity
 Estimation
@@ -9311,15 +7979,6 @@ Yuejun Guo, Qing Xu(cid:3), Yu Yang, Sheng Liang, Yu Liu, Mateu Sbert"
 cc96eab1e55e771e417b758119ce5d7ef1722b43,An Empirical Study of Recent Face Alignment Methods,"An Empirical Study of Recent
 Face Alignment Methods
 Heng Yang, Xuhui Jia, Chen Change Loy and Peter Robinson"

-ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18,A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JUNE 2011
-A Dynamic Appearance Descriptor Approach to
-Facial Actions Temporal Modelling
-Bihan Jiang, Student Member, IEEE, Michel Valstar, Member, IEEE, Brais Martinez, Member, IEEE, and
-Maja Pantic, Fellow, IEEE"

-cc2df3a03ee731478ed48838c284ad4548563308,Towards a Better Metric for Evaluating Question Generation Systems,"Towards a Better Metric for Evaluating Question Generation Systems
-Preksha Nema†‡ Mitesh M. Khapra†‡
-IIT Madras, India
-Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras"

 cc3e1a6376928138dff5582b7a56d40cfb3b7367,Cost-Effective Features for Reidentification in Camera Networks,"Cost-effective features for
 re-identification in camera networks
 Syed Fahad Tahir and Andrea Cavallaro"

@@ -9349,10 +8008,6 @@ destin´ee au d´epˆot et `a la diffusion de documents
 scientifiques de niveau recherche, publi´es ou non,
 ´emanant des ´etablissements d’enseignement et de
 recherche fran¸cais ou ´etrangers, des laboratoires"

-cc392ab1cfaee298e05488a4a1d84ece12220880,A new multi-scale fuzzy model for Histogram-Based Descriptors,"A NEW MULTI-SCALE FUZZY MODEL FOR HISTOGRAM-BASED DESCRIPTORS
-Lunshao Chaia, Zhen Qinb, Honggang Zhanga, Jun Guoa, Bir Bhanub
-Beijing University of Posts and Telecomuunictions, Beijing, 100876, China
-University of California at Riverside, Riverside, CA 92521, USA"

 cca2bee0973e347efd7b3d145b6d23286c801bd1,VoCMex: a voice corpus in Mexican Spanish for research in speaker recognition,"Int J Speech Technol
 DOI 10.1007/s10772-012-9183-z
 VoCMex: a voice corpus in Mexican Spanish for research
@@ -9377,15 +8032,6 @@ Jamal Kharroubi
 Faculty of Technical Sciences
 B.P. 2202 – Road of Imouzzer
 Fez – Morocco"

-cc31db984282bb70946f6881bab741aa841d3a7c,Learning Grimaces by Watching TV,"ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV
-Learning Grimaces by Watching TV
-Samuel Albanie
-http://www.robots.ox.ac.uk/~albanie
-Andrea Vedaldi
-http://www.robots.ox.ac.uk/~vedaldi
-Engineering Science Department
-Univeristy of Oxford
-Oxford, UK"

 ccd99008d942b890cecd308a31ba61240eac9e54,Learning to Segment Every Thing,"Learning to Segment Every Thing
 Ronghang Hu1,2,∗
 Piotr Doll´ar2 Kaiming He2
@@ -9534,27 +8180,15 @@ Thomas G. Dietterich"
 via Spatio-Temporal Video Bundles Grouping
 Technical Report, November 2013
 Yongyi Lu, Liang Lin, Yuanlu Xu, Zefeng Lai"

-9595a267de2b0ecf7e4e2962a606c8854551e203,On the Relation between Color Image Denoising and Classification,"On the Relation between Color Image Denoising
-nd Classification
-Jiqing Wu, Radu Timofte, Member, IEEE, Zhiwu Huang, Member, IEEE, and Luc Van Gool, Member, IEEE"

 95029b1041a169e5b4e1ad79f60bfedb7a6844d0,Learning Superpixels with Segmentation-Aware Affinity Loss,"Learning Superpixels with Segmentation-Aware Affinity Loss
 Wei-Chih Tu1 Ming-Yu Liu2 Varun Jampani2 Deqing Sun2 Shao-Yi Chien1 Ming-Hsuan Yang2
 Jan Kautz2
 National Taiwan University 2NVIDIA 3UC Merced"

-956c634343e49319a5e3cba4f2bd2360bdcbc075,A novel incremental principal component analysis and its application for face recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 4, AUGUST 2006
-A Novel Incremental Principal Component Analysis
-nd Its Application for Face Recognition
-Haitao Zhao, Pong Chi Yuen, Member, IEEE, and James T. Kwok, Member, IEEE"

 9513503867b29b10223f17c86e47034371b6eb4f,Comparison of Optimisation Algorithms for Deformable Template Matching,"Comparison of optimisation algorithms for
 deformable template matching
 Vasileios Zografos
 Link¨oping University, Computer Vision Laboratory
 ISY, SE-581 83 Link¨oping, SWEDEN"

-95ace502ba23a8a5543b882937de23b892112cca,Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?,"Facial Dynamics Interpreter Network: What are
-the Important Relations between Local
-Dynamics for Facial Trait Estimation?
-Seong Tae Kim and Yong Man Ro*
-School of Electrical Engineering, KAIST, Daejeon, Republic of Korea"

 95f990600abb9c8879e4f5f7cd03f3d696fcdec4,An Online Algorithm for Constrained Face Clustering in Videos,"Manuscript version: Author’s Accepted Manuscript
 The version presented in WRAP is the author’s accepted manuscript and may differ from the
 published version or Version of Record.
@@ -9575,24 +8209,6 @@ Copies of full items can be used for personal research or study, educational, or
 purposes without prior permission or charge. Provided that the authors, title and full
 ibliographic details are credited, a hyperlink and/or URL is given for the original metadata
 page and the content is not changed in any way."

-951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Use of ℓ2/3-norm Sparse Representation for Facial
-Expression Recognition
-Sandeep Rangari1, Sandeep Gonnade2
-MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
-MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
-three
-to  discriminate
-represents  emotion,"

-959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c,Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks,"Temporal Coherency based Criteria for Predicting
-Video Frames using Deep Multi-stage Generative
-Adversarial Networks
-Prateep Bhattacharjee1, Sukhendu Das2
-Visualization and Perception Laboratory
-Department of Computer Science and Engineering
-Indian Institute of Technology Madras, Chennai, India"

 951af0494e8812fdb7d578b68c342ab876acb27e,DOCTEUR DE L’ECOLE NORMALE SUPERIEURE DE CACHAN,"THÈSEDEDOCTORATDEL’ÉCOLENORMALESUPÉRIEUREDECACHANprésentéeparJULIENMAIRALpourobtenirlegradedeDOCTEURDEL’ÉCOLENORMALESUPÉRIEUREDECACHANDomaine:MATHÉMATIQUESAPPLIQUÉESSujetdelathèse:Représentationsparcimonieusesenapprentissagestatistique,traitementd’imageetvisionparordinateur—Sparsecodingformachinelearning,imageprocessingandcomputervisionThèseprésentéeetsoutenueàCachanle30novembre2010devantlejurycomposéde:FrancisBACHDirecteurderecherche,INRIAParis-RocquencourtDirecteurdethèseStéphaneMALLATProfesseur,EcolePolytechnique,New-YorkUniversityRapporteurEricMOULINESProfesseur,Télécom-ParisTechExaminateurBrunoOLSHAUSENProfesseur,UniversityofCalifornia,BerkeleyRapporteurJeanPONCEProfesseur,EcoleNormaleSupérieure,ParisDirecteurdethèseGuillermoSAPIROProfesseur,UniversityofMinnesotaExaminateurJean-PhilippeVERTDirecteurderecherche,EcolesdesMines-ParisTechExaminateurThèsepréparéeauseindel’équipeWillowdulaboratored’informatiquedel’ÉcoleNormaleSupérieure,Paris.(INRIA/ENS/CNRSUMR8548).23avenued’Italie,75214Paris."

 95225bab187483e37823daab5c503f6b327fb008,Improved MinMax Cut Graph Clustering with Nonnegative Relaxation,"Improved MinMax Cut Graph Clustering with
 Nonnegative Relaxation
@@ -9625,19 +8241,6 @@ Davide Baltieri, Roberto Vezzani, Rita Cucchiara
 University of Modena and Reggio Emilia
 Via Vignolese 905, 41125 Modena - Italy
 {davide.baltieri, roberto.vezzani,"

-954909051c1d7d5a8ba885f1c09afe04c8aab0fb,IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks,"STUDENT, PROF, COLLABORATOR: BMVC AUTHOR GUIDELINES
-IGCV3: Interleaved Low-Rank Group
-Convolutions for Efficient Deep Neural
-Networks
-University of Science and Technology
-of China
-Anhui, China
-Microsoft Research Asia,
-Beijing, China
-Ke Sun1
-Mingjie Li1
-Dong Liu1
-Jingdong Wang2"

 95593fb20df8ce1273cebe0690cf2cdab054b9b5,Robust Multi-Image HDR Reconstruction for the Modulo Camera,

 95ea564bd983129ddb5535a6741e72bb1162c779,Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection,"Multi-Task Learning by Deep Collaboration and
 Application in Facial Landmark Detection
@@ -9658,46 +8261,6 @@ Explaining Potential Risks in Traffic Scenes by Combining
 Logical Inference and Physical Simulation
 Ryo Takahashi, Naoya Inoue, Yasutaka Kuriya, Sosuke Kobayashi, and Kentaro Inui
 from  observation  and"

-95fb31beaa745557fa33ec4f670ab4e130ff5bf4,Speeding up spatial approximation search in metric spaces,"Speeding up Spatial Approximation Search
-in Metric Spaces
-KARINA FIGUEROA
-Universidad Michoacana, Mexico
-EDGAR CHAVEZ
-Universidad Michoacana / CICESE, Mexico
-GONZALO NAVARRO
-RODRIGO PAREDES
-University of Chile, Chile
-Proximity searching consists in retrieving from a database those elements that are similar to a
-query object. The usual model for proximity searching is a metric space where the distance,
-which models the proximity, is expensive to compute. An index uses precomputed distances to
-speed up query processing. Among all the known indices, the baseline for performance for about
-twenty years has been AESA. This index uses an iterative procedure, where at each iteration it
-first chooses the next promising element (“pivot”) to compare to the query, and then it discards
-database elements that can be proved not relevant to the query using the pivot. The next pivot
-in AESA is chosen as the one minimizing the sum of lower bounds to the distance to the query
-proved by previous pivots. In this paper we introduce the new index iAESA, which establishes a
-new performance baseline for metric space searching. The difference with AESA is the method
-to select the next pivot. In iAESA, each candidate sorts previous pivots by closeness to it, and"

-c86e6ed734d3aa967deae00df003557b6e937d3d,Generative Adversarial Networks with Decoder-Encoder Output Noise,"Generative Adversarial Networks with
-Decoder-Encoder Output Noise
-Guoqiang Zhong, Member, IEEE, Wei Gao, Yongbin Liu, Youzhao Yang
-onditional distribution of their neighbors. In [32], Portilla and
-Simoncelli proposed a parametric texture model based on joint
-statistics, which uses a decomposition method that is called
-steerable pyramid decomposition to decompose the texture
-of images. An example-based super-resolution algorithm [11]
-was proposed in 2002, which uses a Markov network to model
-the spatial relationship between the pixels of an image. A
-scene completion algorithm [16] was proposed in 2007, which
-pplied a semantic scene match technique. These traditional
-lgorithms can be applied to particular image generation tasks,
-such as texture synthesis and super-resolution. Their common
-haracteristic is that they predict the images pixel by pixel
-rather than generate an image as a whole, and the basic idea
-of them is to make an interpolation according to the existing
-part of the images. Here, the problem is, given a set of images,
-an we generate totally new images with the same distribution
-of the given ones?"

 c81b303005459285a5864ea4de71f77025cd5be5,Norm-Induced Entropies for Decision Forests,"Norm-induced entropies for decision forests
 Christoph Lassner
 Rainer Lienhart
@@ -9736,18 +8299,6 @@ c8f216dbd43dda14783677f44bb336c92211cd46,Synthesis from 3 D Mesh Sequences Drive
 SPEECH FEATURES
 Felix Kuhnke and J¨orn Ostermann
 Institut f¨ur Informationsverarbeitung, Leibniz Universit¨at Hannover, Germany"

-c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,"International Journal of Hybrid Information Technology
-Vol.9, No.3 (2016), pp. 291-300
-http://dx.doi.org/10.14257/ijhit.2016.9.3.27
-The Image Multi Feature Retrieval based on SVM Semantic
-Classification
-Che Chang1,2*, Yu Xiaoyang1 and Bai Yamei3
-. Measuring and Control Technology and Instrumentations,Harbin University of
-Science and Technology, Harbin, China
-. School of Engineering,Harbin University, Harbin, China
-. School of  Electronic and Information Engineering,Harbin Huade University
-Harbin, China
-E-mail:"

 c88a1d52d92a47704a797fce2202970bb1f2008c,RECOGNIZING FACE SKETCHES BY HUMAN VOLUNTEERS,"RECOGNIZING FACE SKETCHES BY HUMAN VOLUNTEERS
 Priyanka Reddy Gangam
 Submitted in Partial Fulfillment of the Requirements
@@ -9794,15 +8345,6 @@ I. INTRODUCTION
 With computers to handle more and more complicated
 things in variable environments like driverless car and ad-
 vanced medical diagnosis expert system, higher artificial intel-"

-c84233f854bbed17c22ba0df6048cbb1dd4d3248,Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes,"Y. VERMA, C. V. JAWAHAR: EXPLORING PATCHES FOR RELATIVE ATTRIBUTES
-Exploring Locally Rigid Discriminative
-Patches for Learning Relative Attributes
-Yashaswi Verma
-http://researchweb.iiit.ac.in/~yashaswi.verma/
-C. V. Jawahar
-http://www.iiit.ac.in/~jawahar/
-IIIT-Hyderabad, India
-http://cvit.iiit.ac.in"

 c8855bebdaa985dfc4c1a07e5f74a0e29787e47e,Multi-label Object Attribute Classification using a Convolutional Neural Network,"Multi-label Object Attribute Classification using
 Convolutional Neural Network
 Soubarna Banik, Mikko Lauri, Simone Frintrop
@@ -9844,15 +8386,6 @@ Xirong Li(cid:63)1, Qin Jin(cid:63)1, Shuai Liao1, Junwei Liang1, Xixi He1, Yuji
 Weiyu Lan1, Bin Xiao2, Yanxiong Lu2, Jieping Xu1
 Multimedia Computing Lab, School of Information, Renmin University of China
 Pattern Recognition Center, WeChat Technical Architecture Department, Tencent"

-c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,"The Open Medical Informatics Journal, 2010, 4, 58-62
-Open Access
-Diagnosis of Esophagitis Based on Face Recognition Techniques
-Santosh S. Saraf
-*,1, Gururaj R. Udupi2 and Santosh D. Hajare3
-Research  Center,  Department  of  Electronics  and  Communications  Engg.,  Gogte  Institute  of  Technology,  Belgaum,
-India
-Vishwanathrao Deshpande Rural Institute of Technology, Haliyal, India
-Department of Gastroenterology, K.L.E. Prabhakar Kore Hospital and Research Center, Belgaum, India"

 c840d85f6dce0fb69fb6113923f17e1e314c6134,Disparity Sliding Window: Object Proposals From Disparity Images,"Disparity Sliding Window: Object Proposals From Disparity Images
 Julian M¨uller1, Andreas Fregin2 and Klaus Dietmayer1"

 c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d,Modeling for part-based visual object detection based on local features,"Modeling for part-based visual object
@@ -9946,14 +8479,6 @@ Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin
 Baidu Research
 National Engineering Laboratory for Deep Learning Technology and Applications
 {wangpeng54, yangruigang, caobinbin, wei.xu,"

-c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,"Search Based Face Annotation Using Weakly
-Labeled Facial Images
-Shital Shinde1, Archana Chaugule2
-Computer Department, Savitribai Phule Pune University
-D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18
-Mahatma Phulenagar, 120/2 Mahaganpati soc, Chinchwad, Pune-19, MH, India
-D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18, Savitribai Phule Pune University
-DYPIET, Pimpri, Pune-18, MH, India"

 c8fc65c83473c633e2bf1c13031ccd10617cc8a2,Every Object Tells a Story,"Every Object Tells a Story
 James Pustejovsky
 Computer Science Department
@@ -10003,21 +8528,12 @@ Adobe Research"
 693905c29feb7f9be3517308c8a9c2dc68aa8682,Self-supervised CNN for Unconstrained 3D Facial Performance Capture from an RGB-D Camera,"Self-supervised CNN for Unconstrained 3D Facial
 Performance Capture from an RGB-D Camera
 Yudong Guo, Juyong Zhang†, Lin Cai, Jianfei Cai and Jianmin Zheng"

-69063f7e0a60ad6ce16a877bc8f11b59e5f7348e,Class-Specific Image Deblurring,"Class-Specific Image Deblurring
-Saeed Anwar1, Cong Phuoc Huynh1
-, Fatih Porikli1
-The Australian National University∗ Canberra ACT 2601, Australia
-NICTA, Locked Bag 8001, Canberra ACT 2601, Australia"

 699b6cbd72ee0274699b939863813499c377ea00,Enlightening Deep Neural Networks with Knowledge of Confounding Factors,"Enlightening Deep Neural Networks
 with Knowledge of Confounding Factors
 Yu Zhong
 Gil Ettinger
 {yu.zhong,
 Systems & Technology Research"

-6960bfc668aad1b537fbf3f1b48328e7d440b80b,Fully Automatic Recognition of the Temporal Phases of Facial Actions,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 1, FEBRUARY 2012
-Fully Automatic Recognition of the
-Temporal Phases of Facial Actions
-Michel F. Valstar, Member, IEEE, and Maja Pantic, Senior Member, IEEE"

 6957baa0db5576997aef9de43b93fe8fd4d07632,Identifica\c{c}\~ao autom\'atica de picha\c{c}\~ao a partir de imagens urbanas,"Identificac¸˜ao autom´atica de pichac¸˜ao a partir de
 imagens urbanas
 Eric K. Tokuda and Roberto M. Cesar-Jr.
@@ -10067,10 +8583,6 @@ obtained from a single vision sensor. Unlike typical multimodal biometric system
 utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed
 nd not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password.
 Therefore, it can be a countermeasure when the physical information is exposed. We aim to investigate the potential possibility of"

-6903496ee5d4c24ca5f3f18211f406e0ba8442d6,Multi-Mapping Image-to-Image Translation with Central Biasing Normalization,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018
-Multi-Mapping Image-to-Image Translation with
-Central Biasing Normalization
-Xiaoming Yu, Zhenqiang Ying, Student Member, IEEE, Thomas Li, Shan Liu, and Ge Li, Member, IEEE,"

 69c03f69ddf77586f83bf13d473abf53a70e6793,"EigenFaces Image normalization : rotation , scale and intensity Eye coordinates + input frame Voting method Person identity DCT HMM Face extraction Recognition Modules","Lemieux & Parizeau, Vision Interface 2003.
 Flexible multi-classifier architecture for
 face recognition systems
@@ -10146,17 +8658,6 @@ Sheryl Brahnam
 Computer Information Systems Department
 Southwest Missouri State University
 Springfield, MO 65804"

-69a55c30c085ad1b72dd2789b3f699b2f4d3169f,Automatic Happiness Strength Analysis of a Group of People using Facial Expressions,"International Journal of Computer Trends and Technology (IJCTT) – Volume 34 Number 3 - April 2016
-Automatic Happiness Strength Analysis of a
-Group of People using Facial Expressions
-Sagiri Prasanthi#1, Maddali M.V.M. Kumar*2,
-#1PG Student, #2Assistant Professor
-#1, #2Department of MCA, St. Ann’s College of Engineering & Technology, Andhra Pradesh, India
-is  a  collective  concern"

-691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc,Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints,"Deep Learning of Part-based Representation of Data
-Using Sparse Autoencoders with Nonnegativity
-Constraints
-Ehsan Hosseini-Asl, Member, IEEE, Jacek M. Zurada, Life Fellow, IEEE, Olfa Nasraoui, Senior Member, IEEE"

 690d669115ad6fabd53e0562de95e35f1078dfbb,"Progressive versus Random Projections for Compressive Capture of Images, Lightfields and Higher Dimensional Visual Signals","Progressive versus Random Projections for Compressive Capture of Images,
 Lightfields and Higher Dimensional Visual Signals
 Rohit Pandharkar
@@ -10167,15 +8668,6 @@ Ashok Veeraraghavan
 Ramesh Raskar
 MIT Media Lab
 75 Amherst St, Cambridge, MA"

-69c8b0ec77d3164df2069a5133780a36ec8e91ad,Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning,"Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning
-Lingjing Wang
-NYU Multimedia and Visual Computing Lab
-Courant Institute of Mathematical Science
-NYU Tandon School of Engineering, USA
-Yi Fang ∗
-NYU Multimedia and Visual Computing Lab
-Dept. of ECE, NYU Abu Dhabi, UAE
-Dept. of ECE, NYU Tandon School of Engineering, USA"

 695f6dc7165aa3fca15d1b1deb4c496fc093ac19,Learning Discriminative Visual N-grams from Mid-level Image Features.,"GUPTA, PANDEY, CHIA: VISUAL N-GRAMS
 Learning Discriminative Visual N-grams
 from Mid-level Image Features
@@ -10191,17 +8683,6 @@ Singapore
 Rakuten Institute of Technology
 Singapore"

 69f27ca2f1280587004c8fae6b3b0021305e52eb,Title of dissertation : Scene and Video Understanding,

-69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,"ISSN (Print)    : 2319-5940
-ISSN (Online) : 2278-1021
-International Journal of Advanced Research in Computer and Communication Engineering
-Vol. 2, Issue 10, October 2013
-Survey of Advanced Facial Feature Tracking and
-Facial Expression Recognition
-Karthick.K1, J.Jasmine2
-PG Scholar, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology,
-Coimbatore, Tamilnadu, India1
-Assistant Professor, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology,
-Coimbatore, Tamilnadu, India2"

 695b040a9550a46b5ffe31e4a6abbadfac02c1ad,Face recognition with illumination distinction description,"1st International Conference on Pattern Recognition (ICPR 2012)
 November 11-15, 2012. Tsukuba, Japan
 978-4-9906441-1-6 ©2012 IAPR"

@@ -10243,13 +8724,6 @@ Matthias Nießner1
 Technical University of Munich
 University Federico II of Naples
 University of Erlangen-Nuremberg"

-695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis : An Efficient Facial Feature Extraction Technique,"SSRG International Journal of Electronics and Communication Engineering - (ICRTESTM) - Special Issue – April 2017
-Principal Component Analysis: An Efficient
-Facial Feature Extraction Technique
-Research scholar, ECE Dept, JJTU, Rajasthan, India, 333001(Associate Professor, SVIT, Secunderabad-500
-Drakshayani Desai, 2Dr. Ramakrishna Seemakurti.
-Research Guide (Pricipal,, SVIT, Secunderabd, India, 500003) (Approved Research Guide, JJTU, Jhunjhunu-
-33001, Rajasthan, India)"

 6971bdac5119c4cc1b6d92adac605e13f1bcd80f,Limiting the reconstruction capability of generative neural network using negative learning,"LIMITING THE RECONSTRUCTION CAPABILITY OF GENERATIVE NEURAL NETWORK
 USING NEGATIVE LEARNING
 Asim Munawar, Phongtharin Vinayavekhin and Giovanni De Magistris
@@ -10434,15 +8908,6 @@ d50e51d0a349dd904b85734083e59643ba99bd2c,A Robust Face Recognition method,"Inter
 ISSN 2229-5518
 A Robust Face Recognition method
 G.Seshikala,U.P.Kulakrni,M.N.GiriPrasad"

-d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image q,"Available online at www.sciencedirect.com
-Information Sciences 178 (2008) 2705–2721
-www.elsevier.com/locate/ins
-A method of illumination compensation for human face
-image based on quotient image q
-Wang Ying-hui a,b, Ning Xiao-juan a,*, Yang Chun-xia a, Wang Qiong-fang b
-School of Computer Science Engineering, Xi’an University of Technology, Xi’an 710048, China
-Department of Computer Science, Shaanxi Normal University, Xi’an 710062, China
-Received 23 February 2007; received in revised form 2 December 2007; accepted 14 December 2007"

 d5579b2708a1c713e1b2feb8646533ce26085a3a,Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery,"Effective Use of Dilated Convolutions for Segmenting Small Object Instances in
 Remote Sensing Imagery
 Ryuhei Hamaguchi  Aito Fujita  Keisuke Nemoto
@@ -10474,26 +8939,6 @@ different angles and which may also be partially occluded. Specifically, face r
 respect to the following factors [19]:
 . face image resolution – face images can be captured at different resolutions: face images scanned from documents may
 have very high resolution, while face images captured with a video camera will mostly be of very low resolution,"

-d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,"International Conference on Systemics, Cybernetics and Informatics, February 12–15, 2004
-ROBUST FACIAL EXPRESSION RECOGNITION USING SPATIALLY
-LOCALIZED GEOMETRIC MODEL
-Department of Electrical Engineering
-Dept. of Computer Sc. and Engg.
-Ashutosh Saxena
-IIT Kanpur
-Kanpur 208016, India
-Kanpur 208016, India
-Ankit Anand
-IIT Kanpur
-Prof. Amitabha Mukerjee
-Dept. of Computer Sc. and Engg.
-IIT Kanpur
-Kanpur 208016, India
-While  approaches  based  on  3D  deformable  facial  model  have
-chieved expression recognition rates of as high as 98% [2], they
-re  computationally  inefficient  and  require  considerable  apriori
-training  based  on  3D  information,  which  is  often  unavailable.
-Recognition  from  2D  images  remains  a  difficult  yet  important"

 d5d3c1b299e81b4ab96d052f8a37013305b731d9,Performance Evaluation of Human Detection Systems for Robot Safety,"J Intell Robot Syst
 DOI 10.1007/s10846-016-0334-3
 Performance Evaluation of Human Detection Systems
@@ -10606,10 +9051,6 @@ Face Synthesis from Visual Attributes via Sketch using
 Conditional VAEs and GANs
 Xing Di · Vishal M. Patel
 Received: date / Accepted: date"

-d5cdcaa19a62e3cb97da013555b99fe35e724e38,Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork,"Improved ArtGAN for Conditional Synthesis of
-Natural Image and Artwork
-Wei Ren Tan, Student Member, IEEE, Chee Seng Chan, Senior Member, IEEE,
-Hern´an E. Aguirre, Member, IEEE, and Kiyoshi Tanaka, Member, IEEE"

 d5b83d6b4a3c1093edc9138ab9dfe4e965a80261,Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates,"Skeleton-Based Action Recognition Using
 Spatio-Temporal LSTM Network with Trust Gates
 Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, and Gang Wang"

@@ -10672,15 +9113,6 @@ Miaojing Shi1,2
 Holger Caesar1
 University of Edinburgh 2Tencent Youtu Lab
 Vittorio Ferrari1"

-f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,"New Research
-Sensory and Motor Systems
-Investigating the Influence of Biological Sex on
-the Behavioral and Neural Basis of Face
-Recognition
-K. Suzanne Scherf,1,2 Daniel B. Elbich,1 and Natalie V. Motta-Mena1
-DOI:http://dx.doi.org/10.1523/ENEURO.0104-17.2017
-Department of Psychology, Pennsylvania State University, University Park, PA 16802, and 2Department of
-Neuroscience, Pennsylvania State University, University Park, PA 16802"

 f22058a3003cee6b17c6c25c8a635a653e78614c,Multimodal Attention in Recurrent Neural Networks for Visual Question Answering,"Global Journal of Computer Science and Technology: D
 Neural & Artificial Intelligence
 Volume 17   Issue 1 Version 1.0 Year 2017
@@ -10794,17 +9226,6 @@ f2fafa5d2c49034ba8f6318f869822b462b33a42,iQIYI-VID: A Large Dataset for Multi-mo
 Yuanliu Liu, Peipei Shi, Bo Peng, He Yan, Yong Zhou, Bing Han, Yi Zheng, Chao Lin,
 Jianbin Jiang,Yin Fan, Tingwei Gao, Ganwen Wang, Jian Liu, Xiangju Lu, Danming Xie
 iQIYI, Inc."

-f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,"ISSN(Online): 2319-8753
-ISSN (Print):   2347-6710
-International Journal of Innovative Research in Science,
-Engineering and Technology
-(An ISO 3297: 2007 Certified Organization)
-Vol. 4, Issue 12, December 2015
-Face Recognition System Using
-Wavelet Normalization
-R.Anitha 1, S.Ramila 2
-Assistant Professor, Dept. of CSE, Sri Krishna College of Technology, Coimbatore, India 1
-Assistant Professor, Dept. of CSE, Sri Krishna College of Technology, Coimbatore, India 2"

 f2b547b0bbda1478cbecbd5c184c3c42c3db7e3c,Semi-parametric Image Synthesis,

 f26d34d8a8d082ce2c81937f61c28f3769c38372,Probability of Seeing Increases Saccadic Readiness,"Probability of Seeing Increases Saccadic Readiness
 The´ re` se Collins*
@@ -10840,10 +9261,6 @@ Tobias Hinz and Stefan Wermter ∗
 Universit¨at Hamburg, Department of Informatics, Knowledge Technology
 Vogt-Koelln-Str. 30, 22527 Hamburg, Germany
 http://www.informatik.uni-hamburg.de/WTM/"

-c32383330df27625592134edd72d69bb6b5cff5c,Intrinsic Illumination Subspace for Lighting Insensitive Face Recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 2, APRIL 2012
-Intrinsic Illumination Subspace for Lighting
-Insensitive Face Recognition
-Chia-Ping Chen and Chu-Song Chen, Member, IEEE"

 c37a971f7a57f7345fdc479fa329d9b425ee02be,A Novice Guide towards Human Motion Analysis and Understanding,"A Novice Guide towards Human Motion Analysis and Understanding
 Dr. Ahmed Nabil Mohamed"

 c3599c91d0e3473178c1578b731b03e4be5d3ff1,Improving Resource Efficiency in Cloud Computing a Dissertation Submitted to the Department of Electrical Engineering and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"IMPROVING RESOURCE EFFICIENCY IN CLOUD COMPUTING
@@ -11030,30 +9447,6 @@ Mickaël Chen
 Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France
 Ludovic Denoyer
 Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France"

-c3d60c8b1dff411982ccd8875496f1e74d2cefc4,Multi-view X-ray R-CNN,"Multi-view X-ray R-CNN
-Jan-Martin O. Steitz[0000−0002−3549−312X], Faraz
-Saeedan
-Department of Computer Science, TU Darmstadt, Darmstadt, Germany"

-c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,"Estimating Attention of Faces due to its Growing Level of Emotions
-Ravi Kant Kumar*, Jogendra Garain, Dakshina Ranjan Kisku and Goutam Sanyal
-Department of Computer Science and Engineering
-National Institute of Technology
-Durgapur, India
-E-mail: {vit.ravikant, jogs.cse, drkisku,
-imperative
-nd  feeling  [2]  of  a  person  at  that  moment.  Facial
-expression  plays  an
-in  non-verbal
-ommunication as well as to predicting the behavior of the
-person.  During  a  group  discussion,  our  attention
-utomatically  goes  towards  those  participants  who  put
-more  stressed  on  his  words  or  talk  in  a  sentimental  or
-emphatic  voice.  Same  phenomenon  occurs  with  the  non-
-verbal  visual  communication.  The  face  reflecting  the
-higher  expression  of  a  particular  emotion  draws  more
-ttention  [3,  4]  in  the  discussion.  A  particular  object  (It
-lso  may  be  face),  which  gives  us  more  visualization  is
-onsider as a salient object and this phenomenon is called"

 c3ea346826467f04779e55679679c7c7e549c8a2,Learning Short-Cut Connections for Object Counting,"OÑORO-RUBIO, NIEPERT, LÓPEZ-SASTRE: LEARNING SHORT-CUT CONNECTIONS. . .
 Learning Short-Cut Connections for Object
 Counting
@@ -11149,20 +9542,9 @@ c348118690d2e6544ec1e68f904dbf9e5b6397bd,Video-to-Video Synthesis,"Video-to-Vide
 Ting-Chun Wang1, Ming-Yu Liu1, Jun-Yan Zhu2, Guilin Liu1,
 Andrew Tao1, Jan Kautz1, Bryan Catanzaro1
 NVIDIA, 2MIT CSAIL"

-c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0,A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis,"MVA2005  IAPR  Conference on Machine VIsion Applications, May 16-18, 2005 Tsukuba Science City, Japan
-A New Scheme for Image Recognition Using Higher-Order Local
-Autocorrelation and Factor Analysis
-Naoyuki Nomotoy, Yusuke Shinoharay, Takayoshi Shirakiy, Takumi Kobayashiy, Nobuyuki Otsuy yyy
-yThe University of Tokyo
-Tokyo, Japan
-yyyAIST
-Tukuba, Japan
-f shiraki, takumi, otsug"

 c3285a1d6ec6972156fea9e6dc9a8d88cd001617,Extreme 3D Face Reconstruction: Seeing Through Occlusions,

 c141b7c4ccb4a0e5d2a327aa260b318c7c3bcfbb,Real-Time Adaptive Image Compression,"Real-Time Adaptive Image Compression
 Oren Rippel * 1 Lubomir Bourdev * 1"

-c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee,Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization,"Robust Facial Landmark Localization Based on
-Yiyun Pan, Junwei Zhou, Member, IEEE, Yongsheng Gao, Senior Member, IEEE, Shengwu Xiong"

 c1d98fca75c63fd5975fc2fcd3fe07ac02de4a5b,An End-to-End Traffic Vision and Counting System Using Computer Vision and Machine Learning: The Challenges in Real-Time Processing,"SIGNAL 2018 : The Third International Conference on Advances in Signal, Image and Video Processing
 An End-to-End Traffic Vision and Counting System Using Computer Vision and
 Machine Learning: The Challenges in Real-Time Processing
@@ -11183,14 +9565,6 @@ Los Angeles, USA
 Email:
 William Chernicoff
 Toyota Mobility Foundation"

-c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-A Review Paper on Retrieval Magnets for Facial
-Duplication by Search Based Face Annotation
-Deepika B. Patil1, Ayesha Butalia 2
-P.G. Student, Department of Computer Engineering, GMRCEM, Wagholi, Pune, India,
-Professor, Department of Computer Engineering, GMRCEM, Wagholi, Pune, India,"

 c18e11d0578dc67e46160afa527e1a9e73b8fa15,Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets,"Predicting Motion of Vulnerable Road Users
 using High-Definition Maps and Efficient ConvNets
 Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic,
@@ -11225,9 +9599,6 @@ Prof. Min Chen, BSc, PhD, FBCS, FEG, FLSW
 Tag der mündlichen Prüfung: 27. Mai 2013
 Visualisierungsinstitut
 der Universität Stuttgart"

-c16bae6b2e578df2cba8e436e02bdeda281c2743,Tensor Discriminant Color Space for Face Recognition,"Tensor Discriminant Color Space for Face
-Recognition
-Su-Jing Wang, Jian Yang, Member, IEEE, Na Zhang, and Chun-Guang Zhou*"

 c1ff88493721af1940df0d00bcfeefaa14f1711f,Subspace Regression: Predicting a Subspace from one Sample,"#1369
 CVPR 2010 Submission #1369. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 #1369
@@ -11459,9 +9830,6 @@ Vol:3, No:11, 2009
 Local Steerable Pyramid Binary Pattern Sequence
 LSPBPS for face recognition method
 Mohamed El Aroussi, Mohammed El Hassouni, Sanaa Ghouzali, Mohammed Rziza, and Driss Aboutajdine"

-1ecf4055831ca23c9f6026ef866dac95c8b8f9de,Eye Gaze Tracking With a Web Camera in a Desktop Environment,"Eye Gaze Tracking With a Web Camera
-in a Desktop Environment
-Yiu-ming Cheung, Senior Member, IEEE, and Qinmu Peng, Member, IEEE"

 1eb4ea011a3122dc7ef3447e10c1dad5b69b0642,Contextual Visual Recognition from Images and Videos,"Contextual Visual Recognition from Images and Videos
 Georgia Gkioxari
 Jitendra Malik
@@ -11477,10 +9845,6 @@ Approximate Nearest Neighbor Search?
 Masakazu Iwamura, Tomokazu Sato and Koichi Kise
 Graduate School of Engineering, Osaka Prefecture University
 {masa,"

-1e83e2abcb258cd62b160e3f31a490a6bc042e83,Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Metric Learning in Codebook Generation of
-Bag-of-Words for Person Re-identification
-Lu Tian, Student Member, IEEE, and Shengjin Wang, Member, IEEE"

 1ecb56e7c06a380b3ce582af3a629f6ef0104457,View-invariant face detection method based on local PCA cells,"List of Contents Vol.8
 Contents of
 Journal of Advanced Computational
@@ -11605,18 +9969,6 @@ Contractor and the contents do not necessarily have the approval or endorsement
 Department of National Defence of Canada.
 Defence Research and Development Canada 
 &RQWUDFW5HSRUW"

-1e93ec0f5c29069beedbe7d617f5167b82b70730,Filtering SVM frame-by-frame binary classification in a detection framework,"FILTERING SVM FRAME-BY-FRAME BINARY CLASSIFICATION IN A DETECTION
-FRAMEWORK
-Alejandro Betancourt1,2, Pietro Morerio1, Lucio Marcenaro1, Matthias Rauterberg2, Carlo Regazzoni1
-Information and Signal Processing for Cognitive
-University of Genoa, Italy
-Telecommunications Group.
-Department of Naval, Electric, Electronic
-nd Telecommunications Engineering.
-Designed Intelligence Group.
-Department of Industrial Design.
-Eindhoven University of Technology.
-Eindhoven, Netherlands."

 1e7ae86a78a9b4860aa720fb0fd0bdc199b092c3,A Brief Review of Facial Emotion Recognition Based on Visual Information,"Article
 A Brief Review of Facial Emotion Recognition Based
 on Visual Information
@@ -11646,29 +9998,8 @@ CLASSIFICATION
 Christer Loob, Pejman Rasti, Iiris Lusi, Julio C. S. Jacques
 Junior, Xavier Baro, Sergio Escalera, Tomasz Sapinski,
 Dorota Kaminska and Gholamreza Anbarjafari"

-1e8eee51fd3bf7a9570d6ee6aa9a09454254689d,Face Search at Scale,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2582166, IEEE
-Transactions on Pattern Analysis and Machine Intelligence
-Face Search at Scale
-Dayong Wang, Member, IEEE, Charles Otto, Student Member, IEEE, Anil K. Jain, Fellow, IEEE"

-1e9ace30e55c57c14f609fa45a459458ed40dd77,DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild,"DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
-Skand Vishwanath Peri
-Abhinav Dhall
-Learning Affect and Semantic Image AnalysIs (LASII) Group,
-Indian Institute of Technology Ropar, India"

 1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d,The Freiburg Groceries Dataset,"The Freiburg Groceries Dataset
 Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard"

-1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4,Learning to Parse Video into Stable Spatiotemporal Volumes,"Learning to Parse Video into Stable Spatiotemporal Volumes1
-Thomas Dean
-Google Inc.
-We are interested in learning how to exploit continuity, motion and context to account for stable, recov-
-erable, spatiotemporal phenomena embedded in video. While most humans can make sense of still images,
-for the most part, we need continuity and motion to make sense of the world around us. Humans are also
-ided by strong priors that allow us to make confident predictions despite ambiguity, noise and occlusion.
-The idea of combining top-down prior knowledge and bottom-up cues derived from motion and other
-low-level features has been around almost as long as research in computer vision, e.g., [10], and has recently
-seen renewed interest, e.g., [3, 2, 6, 11]. Rather than the traditional tasks of object recognition or image
-ategorization, here we focus on the task of explaining each new frame in a video in terms of a continuously
-evolving representation of spatiotemporal volumes that account for the complete visual field. For the purpose"

 1ea2a53a6cb9c08312276a2f0646935d5fab5ed3,Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models,"Noname manuscript No.
 (will be inserted by the editor)
 Real-time Crowd Tracking using Parameter Optimized
@@ -11697,12 +10028,6 @@ A series of experiments illustrates the good behavior of the algorithm in terms
 performance and robustness with respect to the violation of the postulated low den-
 sity separation assumption. The minimum entropy solution bene(cid:12)ts from unlabeled
 data and is able to challenge mixture models and manifold learning in a number of"

-1e284c51e005099b482eba9590427e29038d75c6,Pose Invariant Recognition using SIFT Based Feature Extraction and MRF,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 03, 2015 | ISSN (online): 2321-0613
-Pose Invariant Recognition using SIFT Based Feature Extraction and
-Sushama Kumari R B1 D.Gnana Jebadas2
-PG Student (M.E) 2Assistant Professor
-Department of Applied Electronics 2Department of Electronics Communication Engineering
-,2Narayanaguru College of Engineering, Manjalumoodu, K.K (DIST)-Tamilnadu 629151, India"

 1ebcf5dbb37fcd369530b0ee4df5d4a60f756f3e,Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering,"High-level Feature Learning by Ensemble Projection for Image
 Classification with Limited Annotations $
 Dengxin Dai∗, Luc Van Gool
@@ -11767,14 +10092,6 @@ Tel-Aviv, Israel"
 1e5c6c9fa9ba089931cfb2bc81e4368a4db5dd2d,Multi- View Fusion for Action Recognition in Child-Robot Interaction,"978-1-4799-7061-2/18/$31.00 ©2018 IEEE
 ICIP 2018
 #2Kinect #1Kinect #3Multi-view action recognition systemSenseActDecisionSpeakRec.ActionActFig.1:Multi-viewactionrecognitionsystemforchild-robotinteraction.presentspontaneousbehaviorandaninformalwayofcommunica-tion.Inaddition,thesameactionscanbeperformedinavarietyofwaysandawidespectrum,furthercomplicatingtherecognitionofactions.Althoughhumanactionrecognitionisapopularproblemwithmanyproposedmethods[8–13],therequirementsofmulti-viewac-tionrecognitiondiffersignificantlyasithastotakeintoaccountbothactionrecognitionthatresultsfromsingleviewsandalsothefusionamongtheresultinginformationfromthedifferentstreams[14,15].Incross-viewactionrecognitionworksitisattemptedtoshareknowledgefortheactionamongthedifferentsetupviews.Forexample,in[16]aspecificviewistreatedasthetargetdomainandtheotherviewsassourcedomainsinordertoformulateacross-viewlearningframework.Inotherapproaches,theknowledgeofactionsistransferredfromthedifferentviewsinasinglecanoni-calview[17].In[18]itisproposedtolearnview-invariantfeaturesrobusttoviewvariationsusingdeepmodels.Inthefieldofmulti-viewactionrecognition,anewglobalrepresentationthatiscalledmulti-viewsupervectorhasalsobeenproposedinordertoenhancerecognitionperformance[19].Finally,anotherinterestingapproachispresentedin[20]whereitisattemptedtotransferthelow-levelfeaturesintoahigh-levelsemanticspaceandamulti-tasklearningapproachforjointactionmodelingisexamined.Inthispaperwedevelopamulti-viewactionrecognitionsystemsuitableforCRI.Themaincontributionsofthispapercanbesum-marizedasfollows:1)Single-viewmethodsareexploredinordertocreaterobustactionrecognitionmodelsforparticularusers,i.e.children,underdifficulttaskswithfewtrainingdata.2)Methodsforthefusionofinformationfromdifferentstreamsinamulti-viewsys-temareproposedtoenhanceactionrecognitionduringCRI.3)Themulti-viewactionrecognitionsystemisintegratedinroboticplat-"

-1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,"The unreasonable effectiveness of small neural ensembles
-in high-dimensional brain
-A.N. Gorbana,b,∗, V.A. Makarovb,c, I.Y. Tyukina,b,d
-Instituto de Matem´atica Interdisciplinar, Faculty of Mathematics, Universidad Complutense de Madrid, Avda Complutense s/n, 28040 Madrid,
-Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK
-Lobachevsky University, Nizhni Novgorod, Russia
-dSaint-Petersburg State Electrotechnical University, Saint-Petersburg, Russia
-Spain"

 1e146982a7b088e7a3790d2683484944c3b9dcf7,Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks,"Video Person Re-Identification for Wide Area Tracking based on
 Recurrent Neural Networks
 McLaughlin, N., Martinez del Rincon, J., & Miller, P. (2017). Video Person Re-Identification for Wide Area
@@ -11860,9 +10177,6 @@ Department of Computer Science
 State University of New York at
 Binghamton
 NY, USA."

-1e21078efc0aa7a3881d0e87cb5dd5918523f525,Network Consistent Data Association,"Network Consistent Data Association
-Anirban Chakraborty, Member, IEEE, Abir Das, Student Member, IEEE,
-nd Amit K. Roy-Chowdhury, Senior Member, IEEE"

 1e1e66783f51a206509b0a427e68b3f6e40a27c8,Semi-supervised estimation of perceived age from face images,"SEMI-SUPERVISED ESTIMATION OF PERCEIVED AGE
 FROM FACE IMAGES
 VALWAY Technology Center, NEC Soft, Ltd., Tokyo, Japan
@@ -11876,10 +10190,6 @@ Cordelia Schmid
 CHESNEAU ET AL.: DETECTING PARTS FOR ACTION LOCALIZATION
 Detecting Parts for Action Localization
 Inria∗"

-1e41a3fdaac9f306c0ef0a978ae050d884d77d2a,Robust Object Recognition with Cortex-Like Mechanisms,"Robust Object Recognition with
-Cortex-Like Mechanisms
-Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, and
-Tomaso Poggio, Member, IEEE"

 1eadafc27372b33a73eca062438a58d4280fd3a1,DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images,"DeepSkeleton: Learning Multi-task Scale-associated
 Deep Side Outputs for Object Skeleton Extraction
 in Natural Images
@@ -12124,46 +10434,6 @@ Shashanka Ubaru
 Arya Mazumdar
 Yousef Saad
 University of Minnesota-Twin Cities, MN USA"

-0953df0cb7a40a29100eb3089863451ee8e6db47,Chapter 10 PERCEPTUAL INTERFACES,"Chapter 10
-PERCEPTUAL INTERFACES
-Matthew Turk
-nd Mathias K¨olsch
-A keyboard! How quaint.
-— Scotty, in the film Star Trek IV: The Voyage Home (1986)
-Introduction
-Computer vision research has traditionally been motivated by a few main
-reas of application. The most prominent of these include biological vision
-modeling, robot navigation and manipulation, surveillance, medical imaging,
-nd various inspection, detection, and recognition tasks. In recent years, a
-new area, often referred to as perceptual interfaces, has emerged to mo-
-tivate an increasingly large amount of research within the machine vision
-ommunity. The general focus of this effort is to integrate multiple per-
-eptual modalities (such as computer vision, speech and sound processing,
-nd haptic I/O) into the user interface. For computer vision technology in
-particular, the primary aim is to use vision as an effective input modality
-in human-computer interaction. Broadly defined, perceptual interfaces are
-highly interactive, multimodal interfaces that enable rich, natural, and ef-
-ficient interaction with computers. More specifically, perceptual interfaces"

-0967341790643f680f3fc9dc87bfe311723be4e4,A Perception-Driven Transcale Display Scheme for Space Image Sequences,"Hindawi
-Advances in Multimedia
-Volume 2018, Article ID 6045701, 14 pages
-https://doi.org/10.1155/2018/6045701
-Research Article
-A Perception-Driven Transcale Display Scheme for
-Space Image Sequences
-Lingling Zi
-,1 Xin Cong
-,1 Yanfei Peng,1 and Pei Yang2
-School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, China
-College of Science, Liaoning Technical University, Fuxin 123000, China
-Correspondence should be addressed to Xin Cong;
-Received 22 May 2018; Accepted 19 September 2018; Published 4 October 2018
-Academic Editor: Deepu Rajan
-Copyright © 2018 Lingling Zi et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-With the rapid development of multimedia technology, the way of obtaining high-quality motion reproduction for space targets has
-ttracted much attention in recent years. This paper proposes a Perception-driven Transcale Display Scheme, which significantly
-improves the awareness of multimedia processing. This new scheme contains two important modules, transcale description based"

 09b0040ad09d61f3403c57c437c03271f8614add,HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by,"HUMAN ACTIVITY RECOGNITION AND
 GYMNASTICS ANALYSIS THROUGH
 DEPTH IMAGERY
@@ -12175,10 +10445,6 @@ Harris Papadopoulos
 Computer Science and Engineering Department, Frederick University,
 7 Y. Frederickou St., Palouriotisa, Nicosia 1036, Cyprus
 Editor: Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, and Harris Papadopoulos"

-09718bf335b926907ded5cb4c94784fd20e5ccd8,"Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble","Recognizing Partially Occluded, Expression Variant
-Faces From Single Training Image per Person
-With SOM and Soft k-NN Ensemble
-Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Member, IEEE, and Fuyan Zhang"

 09d954e980133014cb4dfe3f6b1444edaa099c97,Real-time self-adaptive deep stereo,"Real-time self-adaptive deep stereo
 Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia and Luigi Di Stefano
 Department of Computer Science and Engineering (DISI)
@@ -12248,9 +10514,6 @@ for Visual Question Answering
 Jiasen Lu∗, Jianwei Yang∗, Dhruv Batra∗† , Devi Parikh∗†
 Virginia Tech, † Georgia Institute of Technology
 {jiasenlu, jw2yang, dbatra,"

-0969aa7d4557699b7460e4159658828efafed8bd,Con-Text: Text Detection for Fine-Grained Object Classification,"Con-Text: Text Detection for Fine-grained Object
-Classification
-Sezer Karaoglu, Ran Tao, Jan C. van Gemert and Theo Gevers, Member, IEEE,"

 09926ed62511c340f4540b5bc53cf2480e8063f8,Tubelet Detector for Spatio-Temporal Action Localization,"Action Tubelet Detector for Spatio-Temporal Action Localization
 Vicky Kalogeiton1,2
 Philippe Weinzaepfel3
@@ -12278,24 +10541,6 @@ Deva Ramanan
 Charless Fowlkes
 Department of Computer Science
 University of California at Irvine"

-09d453d4949b9d2b0dad1d5288e02ca9ec7da450,A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction and Neural Networks in Real Time,"IT in Industry, vol. 6, 2018                                                                                                                        Published online 17-Feb-2018
-A Method for Predicting Vehicles Motion Based on
-Road Scene Reconstruction and Neural Networks in
-Real Time
-Prof. D. Sc. Nina Krapukhina, PhD student Nikolay Kamenov
-The National University of Science and Technology MISIS Moscow, Russia"

-09c4732280c3b2586e390d818ef0056a8de73e2c,A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm,"Article
-A New Method of Histogram Computation for
-Efficient Implementation of the HOG Algorithm †
-Mariana-Eugenia Ilas 1,* ID and Constantin Ilas 2
-Department of Electronics, Telecommunications and IT, University Politehnica Bucharest,
-Bucharest 060042, Romania
-Department of Automatics and Computer Science, University Politehnica Bucharest,
-Bucharest 060042, Romania;
-* Correspondence: Tel.: +40-21-402-4618
-This paper is an extended version of our paper published in the 9th Computer Science & Electronic
-Engineering Conference (CEEC), Colchester, UK, 27–29 September 2017.
-Received: 5 January 2018; Accepted: 27 February 2018; Published: 1 March 2018"

 09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3,Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance,"Integrating Graph Partitioning and Matching for
 Trajectory Analysis in Video Surveillance
 Liang Lin, Yongyi Lu, Yan Pan, Xiaowu Chen"

@@ -12355,13 +10600,6 @@ Haicheng Wang
 035140108
 COMP4801 Final Year Project
 Project Code: 17007"

-1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,"Transactions on Multimedia
-Page 22 of 32
-Preference-Aware View Recommendation System
-for Cameras Based on Bag of
-Aesthetics-Preserving Features
-Hsiao-Hang Su, Tse-Wei Chen, Member, IEEE, Chieh-Chi Kao, Winston H. Hsu, Member, IEEE,
-nd Shao-Yi Chien*, Member, IEEE"

 177cbeb83c3a0868b9a5c75cd74edf4b972cba80,Exact Primitives for Time Series Data Mining,"UNIVERSITY OF CALIFORNIA
 RIVERSIDE
 Exact Primitives for Time Series Data Mining
@@ -12465,9 +10703,6 @@ Bi Li, Wenxuan Xie, Wenjun Zeng, Fellow, IEEE, and Wenyu Liu, Senior Member, IEE
 for Semantic Segmentation
 Di Lin1, Yuanfeng Ji1, Dani Lischinski2, Daniel Cohen-Or1,3, and Hui Huang1(cid:63)
 Shenzhen University 2The Hebrew University of Jerusalem 3Tel Aviv University"

-175fcfe655b5601b21fdfb3c61bff49c7a8ca297,Semantic Human Matting,"Semantic Human Ma(cid:130)ing
-(cid:139)an Chen1, Tiezheng Ge1, Yanyu Xu1,2, Zhiqiang Zhang1, Xinxin Yang1, Kun Gai1
-Alibaba Group, Beijing, China; 2ShanghaiTech University, Shanghai, China"

 17ff59bb388b155f613f7566ba7cd71ec780cdec,Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search,"Asymmetric sparse kernel approximations
 for large-scale visual search
 Damek Davis
@@ -12479,17 +10714,6 @@ Los Angeles, CA 90095
 Stefano Soatto
 University of California
 Los Angeles, CA 90095"

-17ad76ef00d4cb584389682ca6b138a8bdc9a2da,Continuous Multimodal Emotion Recognition Approach for AVEC 2017,"Continuous Multimodal Emotion Recognition
-Approach for AVEC 2017
-Narotam Singh*, Nittin Singh†, Abhinav Dhall‡
-Department of Computer Science and Engineering, Indian Institute of Technology Ropar
-Email:
-India"

-17257fc03b611315ae49bd53d229188b889002e6,Hard Negative Mining for Metric Learning Based Zero-Shot Classification,"Hard Negative Mining for
-Metric Learning Based Zero-Shot Classification
-Maxime Bucher1,2, St´ephane Herbin1, Fr´ed´eric Jurie2
-ONERA - The French Aerospace Lab, Palaiseau, France
-Normandie Univ, UNICAEN, ENSICAEN, CNRS, Caen, France"

 1742e6c347037d5d4ccbdf5c7a27dfbf0afedb91,A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
 A Unified Framework for Representation-Based
 Subspace Clustering of Out-of-Sample and
@@ -12530,16 +10754,6 @@ Oncel Tuzel
 Yuichi Taguchi
 John R. Hershey
 Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA"

-17e974f463ae01c518ffb1f77852b59dd8f78b56,Review of Different Face Recognition Techniques,"International Association of Scientific Innovation and Research (IASIR)
-(An Association Unifying the Sciences, Engineering, and Applied Research)
-ISSN (Print): 2279-0063
-ISSN (Online): 2279-0071
-International Journal of Software and Web Sciences (IJSWS)
-www.iasir.net
-Review of Different Face Recognition Techniques
-Ravikant Gupta*, Dilip Dandotiya*, Satyendra Dhakad*, Yogesh Tayal**, Pramod kumar Pandey**
-*M.Tech. Student of Electronics & Instrumentation Department, ITM University, Gwalior, India
-**Faculty of Electronics & Instrumentation Department, ITM University, Gwalior, India"

 17c62bff70eb0919864f111df4930062aded729a,Encoding Spatial Context in Local Image Descriptors,"Universit¨at des Saarlandes
 Max-Planck-Institut f¨ur Informatik
 Encoding Spatial Context in
@@ -12670,12 +10884,6 @@ Xingjian Shi, Dit-Yan Yeung, Senior Member, IEEE"
 11691f1e7c9dbcbd6dfd256ba7ac710581552baa,SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos,"SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
 Silvio Giancola, Mohieddine Amine, Tarek Dghaily, Bernard Ghanem
 King Abdullah University of Science and Technology (KAUST), Saudi Arabia"

-1134a6be0f469ff2c8caab266bbdacf482f32179,FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO-OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
-FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO-
-OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER
-Bonagiri  C S K Sunil Kumar1, V Bala Shankar2, Pullela S V V S R Kumar3
-,2,3 Department of Computer Science & Engineering, Aditya College of Engineering, Surampalem, East Godavari
-District, Andhra Pradesh, India"

 1174b869c325222c3446d616975842e8d2989cf2,CosFace: Large Margin Cosine Loss for Deep Face Recognition,"CosFace: Large Margin Cosine Loss for Deep Face Recognition
 Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou,
 Zhifeng Li∗, and Wei Liu∗
@@ -12683,16 +10891,6 @@ Tencent AI Lab"
 1172ce24f6e9242b9c26c84c6aa89a72ed8203d0,Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy,"Find Your Own Way: Weakly-Supervised Segmentation of Path
 Proposals for Urban Autonomy
 Dan Barnes, Will Maddern and Ingmar Posner"

-1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,"Audio-Visual Speech Enhancement Using
-Multimodal Deep Convolutional
-Neural Networks
-Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao, Member, IEEE,
-Hsiu-Wen Chang, and Hsin-Min Wang, Senior Member, IEEE"

-11d9bee72759e23f19117fc8cbb60b487e8ac79e,Benchmark Visual Question Answer Models by using Focus Map,"Benchmark Visual Question Answer Models by using Focus Map
-Wenda Qiu
-Yueyang Xianzang
-Zhekai Zhang
-Shanghai Jiaotong University"

 1114c2aba97a5782a48341817811df2438d0fdbf,Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling,"Robust Visual Tracking using Multi-Frame
 Multi-Feature Joint Modeling
 Peng Zhang∗, Shujian Yu∗, Student Member, IEEE, Jiamiao Xu, Xinge You†, Senior Member, IEEE,
@@ -12742,9 +10940,6 @@ Lexington High School, KTByte Computer Science Academy"
 Human Actions by Multiple Spatio-Temporal Scales
 Recurrent Neural Networks
 Haanvid Lee, Minju Jung, and Jun Tani"

-1183db5f409e8498d1a0f542703f908275a6dc34,Robust Visual Tracking and Vehicle Classification via Sparse Representation,"Robust Visual Tracking and Vehicle
-Classification via Sparse Representation
-Xue Mei and Haibin Ling, Member, IEEE"

 11b00a4be68e9622d7b4698aca84da85aca3e288,Modeling Social Interactions in Real Work Environments,"Modeling Social Interactions in Real Work Environments
 Salvatore Vanini
 SUPSI-DTI
@@ -12771,46 +10966,9 @@ Vipin Vijayan, Kevin W. Bowyer, and Patrick J. Flynn."
 1169f3386a49daccbe199cccb518238a0130a537,"Analyzing Complex Events and Human Actions in ""in-the-wild"" Videos",

 115724ce1ce9422dad095b301c7d096498ad50d3,The E2E Dataset: New Challenges For End-to-End Generation,"Saarbr¨ucken, Germany, 15-17 August 2017. c(cid:13)2017 Association for Computational Linguistics
 Proceedings of the SIGDIAL 2017 Conference, pages 201–206,"

-11606059047b2f3b2293a43af0a5eacd01830be0,Pedestrian detection from traffic scenes based on probabilistic models of the contour fragments,"Pedestrian detection from traffic scenes based on
-probabilistic models of the contour fragments
-Florin Florian, Ion Giosan, Sergiu Nedevschi
-Computer Science Department
-Technical University of Cluj-Napoca, Romania
-Ion.Giosan,"

 1151a81118368e7596843b8db2508e4974fd7435,A Testbed for Cross-Dataset Analysis,"A Testbed for Cross-Dataset Analysis
 Tatiana Tommasi and Tinne Tuytelaars
 ESAT-PSI/VISICS - iMinds, KU Leuven, Belgium"

-11943efec248fcac57ff6913424e230d0a02e977,Auxiliary Tasks in Multi-task Learning,"Auxiliary Tasks in Multi-task Learning
-Lukas Liebel
-Marco Körner
-Computer Vision Research Group, Chair of Remote Sensing Technology
-Technical University of Munich, Germany
-{lukas.liebel,
-Multi-task convolutional neural networks (CNNs) have shown impressive results for certain combinations of tasks, such
-s single-image depth estimation (SIDE) and semantic segmentation. This is achieved by pushing the network towards
-learning a robust representation that generalizes well to different atomic tasks. We extend this concept by adding
-uxiliary tasks, which are of minor relevance for the application, to the set of learned tasks. As a kind of additional
-regularization, they are expected to boost the performance of the ultimately desired main tasks. To study the proposed
-pproach, we picked vision-based road scene understanding (RSU) as an exemplary application. Since multi-task
-learning requires specialized datasets, particularly when using extensive sets of tasks, we provide a multi-modal dataset
-for multi-task RSU, called synMT. More than 2.5 · 105 synthetic images, annotated with 21 different labels, were
-cquired from the video game Grand Theft Auto V (GTA V). Our proposed deep multi-task CNN architecture was
-trained on various combination of tasks using synMT. The experiments confirmed that auxiliary tasks can indeed boost
-network performance, both in terms of final results and training time.
-Introduction
-Various applications require solving several atomic tasks from
-the computer vision domain using a single image as input. Such"

-11811c547fe91e63547cc7081a859d13b4752f90,Designing Efficient Multimodal Classification Systems Based on Features and Svm Kernels Selection,"Volume 57, Number 3, 2016                                                   ACTA TECHNICA NAPOCENSIS
-Electronics and Telecommunications
-________________________________________________________________________________
-DESIGNING EFFICIENT MULTIMODAL CLASSIFICATION SYSTEMS
-BASED ON FEATURES AND SVM KERNELS SELECTION
-Anca APATEAN
-Technical University of Cluj-Napoca, Communications Department
-Address, Phone and Fax Numbers, Email"

-1119b4b038fd7d1d337d4aee232dea6c56f20cf1,A Sparse Embedding and Least Variance Encoding Approach to Hashing,"A Sparse Embedding and Least Variance Encoding
-Approach to Hashing
-Xiaofeng Zhu, Lei Zhang, Member, IEEE, Zi Huang"

 1120e88663a38ed05120af378f57ecf557660160,Generic Object Crowd Tracking by Multi-Task Learning,"LUOETAL.:GENERICOBJECTCROWDTRACKINGBYMULTI-TASKLEARNING
 Generic Object Crowd Tracking by
 Multi-Task Learning
@@ -12821,11 +10979,6 @@ http://www.iis.ee.ic.ac.uk/~tkkim
 Department of Electrical and Electronic
 Engineering, Imperial College,
 London, UK"

-11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,"JUNE 2008
-Tied Factor Analysis for Face Recognition
-cross Large Pose Differences
-Simon J.D. Prince, Member, IEEE, James H. Elder, Member, IEEE,
-Jonathan Warrell, Member, IEEE, and Fatima M. Felisberti"

 11155ee686bfb675816a2acdf5a8ddf06e67b65f,EmoDetect – Smart Emotion Detection from Facial Expressions,"EmoDetect – Smart Emotion Detection from Facial Expressions
 Rishabh Animesh
 Skand Hurkat
@@ -12841,10 +10994,6 @@ Vishwajeet Singh1, Killamsetti Ravi Kumar2, K Eswaran3
 ALPES, Bolarum, Hyderabad 500010,
 ALPES, Bolarum, Hyderabad 500010,
 SNIST, Ghatkesar, Hyderabad 501301,"

-11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,"Using Visual Context and Region Semantics for
-High-Level Concept Detection
-Phivos Mylonas, Member, IEEE, Evaggelos Spyrou, Student Member, IEEE, Yannis Avrithis, Member, IEEE, and
-Stefanos Kollias, Member, IEEE"

 111f2f1255fa9e5a82753bf5b3f2f0974e87f86d,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
 {tag}                                                 {/tag}
 International Journal of Computer Applications
@@ -12978,11 +11127,6 @@ Hang Chu1
 Daiqing Li1 Sanja Fidler1
 University of Toronto 2Vector Institute
 {chuhang1122, daiqing,"

-2cce7a5289c4124d9b23fe67963f3d635b63091c,Towards intent dependent image enhancement - state-of-the-art and recent attempts,"TOWARDS INTENT DEPENDENT IMAGE ENHANCEMENT
-State-of-the-art and Recent Attempts
-Marco Bressan, Gabriela Csurka and Sebastien Favre
-Xerox Research Centre Europe, 6, ch. de Maupertuis, 38240 Meylan, France
-Keywords:"

 2c564f5241b0905baafc3677e7ca15c27fd2c6e7,An Integrated Approach to Contextual Face Detection,"AN INTEGRATED APPROACH TO CONTEXTUAL FACE
 DETECTION.
 Santi Segu´ı1, Michal Drozdzal1,2, Petia Radeva1,2 and Jordi Vitri`a1,2
@@ -13021,26 +11165,6 @@ Department of Electrical and Computer Engineering, Babol Noushirvani University
 Reza Ghaderi
 Department of nuclear Engineering, Shahid Beheshti University of Tehran, Tehran, Iran
 Received: 27/Jul/2016            Revised: 07/Jan/2017            Accepted: 14/Jan/2017"

-2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad,Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information,"Hindawi Publishing Corporation
-e Scientific World Journal
-Volume 2014, Article ID 131605, 11 pages
-http://dx.doi.org/10.1155/2014/131605
-Research Article
-Robust Ear Recognition via Nonnegative Sparse Representation
-of Gabor Orientation Information
-Baoqing Zhang, Zhichun Mu, Hui Zeng, and Shuang Luo
-School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
-Correspondence should be addressed to Zhichun Mu; muzc
-Received 21 December 2013; Accepted 18 January 2014; Published 24 February 2014
-Academic Editors: S. Kobashi and A. Materka
-Copyright © 2014 Baoqing Zhang et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-Orientation information is critical to the accuracy of ear recognition systems. In this paper, a new feature extraction approach is
-investigated for ear recognition by using orientation information of Gabor wavelets. The proposed Gabor orientation feature can
-not only avoid too much redundancy in conventional Gabor feature but also tend to extract more precise orientation information of
-the ear shape contours. Then, Gabor orientation feature based nonnegative sparse representation classification (Gabor orientation
-+ NSRC) is proposed for ear recognition. Compared with SRC in which the sparse coding coefficients can be negative, the
-nonnegativity of NSRC conforms to the intuitive notion of combining parts to form a whole and therefore is more consistent"

 2c786b32a621a52fc7d00499e4b056f149a4fba7,Face Recognition with Decision Tree-Based Local Binary Patterns,"Face Recognition with Decision Tree-based Local
 Binary Patterns
 Daniel Maturana, Domingo Mery and ´Alvaro Soto
@@ -13108,12 +11232,6 @@ models can be used to select a subject’s best expressions across a range of em
 2c72096bbecd70000f919b1cec3f31a649c94fd5,Neural Network Interpretation via Fine Grained Textual Summarization,"Neural Network Interpretation via Fine-Grained Textual Summarization
 Pei Guo, Connor Anderson, Kolton Pearson, Ryan Farrell
 Brigham Young University"

-2c5d1e0719f3ad7f66e1763685ae536806f0c23b,AENet: Learning Deep Audio Features for Video Analysis,"AENet: Learning Deep Audio Features for Video
-Analysis
-Naoya Takahashi, Member, IEEE, Michael Gygli, Member, IEEE, and Luc Van Gool, Member, IEEE"

-2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot : Three Datasets for Mobile Manipulation in Human Environments,"A Side of Data with My Robot: Three Datasets for Mobile Manipulation in Human Environments
-Matei Ciocarlie, Member, IEEE, Caroline Pantofaru, Member, IEEE, Kaijen Hsiao, Member, IEEE,
-Gary Bradski, Member, IEEE, Peter Brook, and Ethan Dreyfuss"

 2c2bf22e2f0a1817475aefb37e0c4e0404e8d479,Structured Prediction of 3D Human Pose with Deep Neural Networks,"TEKIN ET AL.: STRUCTURED PREDICTION OF 3D HUMAN POSE
 Structured Prediction of 3D Human Pose
 with Deep Neural Networks
@@ -13140,11 +11258,6 @@ Xucong Zhang, Yusuke Sugano∗, Mario Fritz, Andreas Bulling"
 2c0a71b5e111d2c7d99c3f23989d317a0d845adc,N-best maximal decoders for part models,"N-best maximal decoders for part models
 Dennis Park Deva Ramanan
 UC Irvine"

-2c86443519b46c83073b17c6a98da0fe781a2730,Confidence Propagation through CNNs for Guided Sparse Depth Regression.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Confidence Propagation through CNNs for
-Guided Sparse Depth Regression
-Abdelrahman Eldesokey, Student Member, IEEE, Michael Felsberg, Senior Member, IEEE,
-nd Fahad Shahbaz Khan, Member, IEEE"

 2c2786ea6386f2d611fc9dbf209362699b104f83,Title of Dissertation Local Feature Representations for Facial Expression Recognition Based on Differences of Gray Color Values of Neighboring Pixels,1)LOCAL FEATURE REPRESENTATIONS FOR FACIAL EXPRESSION RECOGNITION BASED ON DIFFERENCES OF GRAY COLOR VALUES OF NEIGHBORING PIXELS        Mohammad Shahidul Islam          A Dissertation Submitted in Partial  Fulfillment of the Requirement for the Degree of  Doctor of Philosophy (Computer Science and Information Systems) School of Applied Statistics National Institute of Development Administration 2013

 2c93c8da5dfe5c50119949881f90ac5a0a4f39fe,Advanced local motion patterns for macro and micro facial expression recognition,"Advanced local motion patterns for macro and micro facial
 expression recognition
@@ -13190,10 +11303,6 @@ Faculdade de Ciências e Tecnologia
 Universidade Nova de Lisboa
 Departamento de Informática
 Caparica, Portugal"

-2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,"Combining Facial Dynamics With Appearance
-for Age Estimation
-Hamdi Dibeklio˘glu, Member, IEEE, Fares Alnajar, Student Member, IEEE,
-Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE"

 2c1cd58790cf07d5fa7f1f1f096023a993a6ead3,"Improving 3 D perception for Object Detection , Classification and Localization using Fused Multi-modal Sensors","Improving 3D perception for Object Detection,
 Classification and Localization using Fused Multi-modal
 Sensors
@@ -13237,16 +11346,6 @@ Department of Electrical Engineering - EESC/USP
 Email:"

 2c7932c2096669113328a75d1ad1d1bfb8f86ad0,Multi30K: Multilingual English-German Image Descriptions,"Proceedings of the 5th Workshop on Vision and Language, pages 70–74,
 Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

-2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,"Robust Face Recognition via Block Sparse Bayesian Learning
-Taiyong Li1,2, Zhilin Zhang3,4,∗
-School of Financial Information Engineering, Southwestern University of Finance and Economics, Chengdu 610074,
-China
-Institute of Chinese Payment System, Southwestern University of Finance and Economics, Chengdu 610074, China
-Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093-0407,
-Samsung R&D Institute America - Dallas, 1301 East Lookout Drive, Richardson, TX 75082, USA"

-2c8f24f859bbbc4193d4d83645ef467bcf25adc2,Classification in the Presence of Label Noise: A Survey,"Classification in the Presence of
-Label Noise: a Survey
-Benoît Frénay and Michel Verleysen, Member, IEEE"

 2c7b72d0b66074bff2f0b3493673a51f6f094d5f,A biometric verification system based on the fusion of palmprint and face features,"A Biometric Verification System Based on the Fusion of Palmprint and Face
 Features
 Slobodan Ribaric, Ivan Fratric and Kristina Kis
@@ -13466,24 +11565,7 @@ Neural Network for Fast Object Detection
 Zhaowei Cai1, Quanfu Fan2, Rogerio S. Feris2, and Nuno Vasconcelos1
 SVCL, UC San Diego
 IBM T. J. Watson Research"

-833a2c168849697aae3589bbeef0cbca22808fe8,"Quantity, Contrast, and Convention in Cross-Situated Language Comprehension","Proceedings of the 19th Conference on Computational Language Learning, pages 226–236,
-Beijing, China, July 30-31, 2015. c(cid:13)2015 Association for Computational Linguistics"

 8399c71abc9a820bacd9c4e21c85c461c0b830b3,"Adaboost with ""Keypoint Presence Features"" for Real-Time Vehicle Visual Detection","Author manuscript, published in ""16th World Congress on Intelligent Transport Systems (ITSwc'2009), Sweden (2009)"""

-83d1617092b34804c3825fdf4292120c382fe043,Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home,"Sensors 2014, 14, 14253-14277; doi:10.3390/s140814253
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Article
-Appearance-Based Multimodal Human Tracking and
-Identification for Healthcare in the Digital Home
-Mau-Tsuen Yang * and Shen-Yen Huang
-Department of Computer Science & Information Engineering, National Dong-Hwa University, No. 1,
-Sec. 2, Da-Hsueh Rd., Shoufeng, Hualien 974, Taiwan; E-Mail:
-*  Author to whom correspondence should be addressed; E-Mail:
-Tel.: +886-3-863-4028; Fax: +886-3-863-4010.
-Received: 2 April 2014; in revised form: 3 July 2014 / Accepted: 8 July 2014 /
-Published: 5 August 2014"

 83b20fdd3eafd21a6971dacc73d85c484a093bfc,Interleaved Structured Sparse Convolutional Neural Networks,"Interleaved Structured Sparse Convolutional Neural Networks
 Guotian Xie1,2,∗ Jingdong Wang3† Ting Zhang3
 Jianhuang Lai1,2 Richang Hong4 Guo-Jun Qi5
@@ -13494,12 +11576,6 @@ Automatic Person Identification using Multiple Cues
 Danuwat Swangpol and Thanarat Chalidabhongse
 Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand
 (Tel: +66-2-737-2551; E-mail: ,"

-83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification.,"A framework with updateable joint images re-ranking for Person
-Re-identification
-Yuan Mingyue1,2  Yin Dong1,2*  Ding Jingwen1,3*  Luo Yuhao1,2  Zhou Zhipeng1,2
-Zhu Chengfeng1,2  Zhang Rui1,2
-School of Information Science Technology, USTC, Hefei, Anhui 230027, China
-Key Laboratory of Electromagnetic Space Information of CAS, Hefei, Anhui 230027, China"

 838420cebfdad4e93221f8fe203c09155983141a,Subspace Alignment Based Domain Adaptation for RCNN Detector,"RAJ, NAMBOODIRI, TUYTELAARS: ADAPTING RCNN DETECTOR
 Subspace Alignment Based Domain
 Adaptation for RCNN Detector
@@ -13515,20 +11591,6 @@ Kanpur, India.
 ESAT, PSI-VISICS
 KU Leuven,
 Heverlee, Belgium"

-8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Recognition : A Unified Approach on Tracking and Recognition,"ISSN: 2321-8169
-International Journal on Recent and Innovation Trends in Computing and Communication
-Volume: 2 Issue: 11
-3532 – 3539
-_______________________________________________________________________________________________
-Tracking and Recognition: A Unified Approach on Tracking and Recognition
-Ms. Anuja V. Vaidya
-Dr. Mrs. S.B. Patil
-Dept. of Electronics & Communication
-Dept of Electronics & Communication
-Dr. J.J. Magdum College of  Engg. Jaysingpur,
-Dr. J.J. Magdum College of Engg. Jaysingpur,
-Maharashtra, India
-Maharashtra, India"

 83cc0768927dfdac32f2d5753cf70ac23b7cddeb,BLACKFACE SURVEILLANCE CAMERA DATABASE FOR EVALUATING FACE RECOGNITION IN LOW QUALITY SCENARIOS,"ISSN:
 Print    -  2277 - 0593
 Online -  2315 - 7461
@@ -13568,26 +11630,6 @@ Liuyuan Deng, Ming Yang, Hao Li, Tianyi Li, Bing Hu, Chunxiang Wang"
 Lightweight OpenPose
 Daniil Osokin
 Intel"

-83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a,Review : Recent Structure-From-Motion Algorithms 3 D Shape Reconstruction,"IJCSNS International Journal of Computer Science and Network Security, VOL.16 No.4, April 2016
-Review: Recent Structure-From-Motion Algorithms 3D Shape
-Reconstruction
-University College of Engineering Khammam, INDIA
-K. Punnam Chandar
-Dept. of E.C.E
-T. Satya Savithri
-Dept. of E.C.E J.N.T.U Hyderabad, INDIA
-limit
-their  deployment
-is  an  active  area  of
-ameras and the other is reconstructing the 3D face model
-from  2D  images.  The  high  cost  of  the  3D  depth  sensing
-ameras
-in  multimedia  and
-surveillance  applications.  The  alternative  is  to  develop
-lgorithms  to  reconstruct  the  3D  face  model  from  2D
-images  and
-research.  The
-reconstruction accuracy depends on the quality of the 2D"

 833cd4265bd8162d3cfb483ce8f31eaef28e7a2e,TOWARDS EFFECTIVE GANS,"Under review as a conference paper at ICLR 2018
 TOWARDS EFFECTIVE GANS
 FOR DATA DISTRIBUTIONS WITH DIVERSE MODES
@@ -13691,11 +11733,6 @@ A thesis submitted in partial fulfillment of the requirements for the de-
 gree of Magister Scientiae in the Department of Computer Science,
 University of the Western Cape.
 May 2006"

-83df0ec6071dfda29da831860fdb2a1f19a6b3bc,3D Face Recognition Using Joint Differential Invariants,"D Face Recognition Using Joint Differential
-Invariants
-Marinella Cadoni1, Manuele Bicego1,2, and Enrico Grosso1
-Computer Vision Laboratory, DEIR, University of Sassari, Italy
-Computer Science Dept., University of Verona, Italy"

 834f5ab0cb374b13a6e19198d550e7a32901a4b2,Face Translation between Images and Videos using Identity-aware CycleGAN,"Face Translation between Images and Videos using Identity-aware CycleGAN
 Zhiwu Huang†, Bernhard Kratzwald†, Danda Pani Paudel†, Jiqing Wu†, Luc Van Gool†‡
 Computer Vision Lab, ETH Zurich, Switzerland
@@ -13720,11 +11757,6 @@ June 9, 2016"
 in cities using deep learning and computer vision
 Mohamed R. Ibrahim1, James Haworth2 and Tao Cheng3
 Department of Civil, Environmental and Geomatic Engineering, University College London (UCL)"

-83968f81f23a34e18e850fe2cf68bab51e22e35c,Attention-driven parts-based object detection,"Attention-Driven Parts-Based Object Detection
-Ilkka Autio & J.T. Lindgren
-Department of Computer Science
-University of Helsinki
-Finland"

 83fd5c23204147844a0528c21e645b757edd7af9,USDOT number localization and recognition from vehicle side-view NIR images,"USDOT Number Localization and Recognition From Vehicle Side-View NIR
 Images
 Orhan Bulan, Safwan Wshah, Ramesh Palghat, Vladimir Kozitsky and Aaron Burry
@@ -13837,26 +11869,6 @@ TTI-Chicago"
 bb288a5c653659411f95ef5db8e1ad652e0a8173,Learning Depth From Single Images With Deep Neural Network Embedding Focal Length,"Learning Depth from Single Images with Deep
 Neural Network Embedding Focal Length
 Lei He, Guanghui Wang (Senior Member, IEEE) and Zhanyi Hu"

-bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,"International Journal of Computer Applications (0975 – 8887)
-Volume 104 – No.5, October 2014
-A Review on: Automatic Movie Character Annotation
-y Robust Face-Name Graph Matching
-Bhandare P.S.
-Research Scholar
-Sinhgad College of
-Engineering, korti, Pandharpur,
-Solapur University, INDIA
-Gadekar P.R.
-Assistant Professor
-Sinhgad College of
-Engineering, korti, Pandharpur,
-Solapur University, INDIA
-Bandgar Vishal V.
-Assistant Professor
-College of Engineering (Poly),
-Pandharpur, Solapur, INDIA
-Bhise Avdhut S.
-HOD, Department of"

 bba22e04fbe124bf58330e5d911d873a80afa0eb,Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection,"Probabilistic Global Scale Estimation for MonoSLAM
 Based on Generic Object Detection
 Centro de Investigaci´on en Matem´aticas - Universidad de Guanajuato
@@ -13913,9 +11925,6 @@ Guildford, GU2 7XH, UK
 Email: [ponti, leonardo.sampaio.ribeiro,
 Email: [t.bui,
 tools,"

-bb7c093c41fcec269b6a7a950902cc95429bb289,Robust video object tracking via Bayesian model averaging based feature fusion,"Robust video object tracking via Bayesian model
-veraging based feature fusion
-Yi Dai, Bin Liu, Member, IEEE"

 bb22104d2128e323051fb58a6fe1b3d24a9e9a46,Analyzing Facial Expression by Fusing Manifolds,")=OEC .=?E= -NFHAIIE >O .KIEC
 9A;= +D=C1,2 +DK5C +DA1,3 ;E2EC 0KC1,2,3
 1IJEJKJA B 1BH=JE 5?EA?A 5EE?= 6=EM=
@@ -13938,10 +11947,6 @@ ABBA?JELAAII B KH =CHEJD
 A=EEC DK= AJEI F=OI = EFHJ=J HA E DK= ?KE?=JE 6"

 bb08d1570685a20861e9b8c15c57aae9c01d3eac,Modeling cooperative navigation in dense human crowds,"Modeling Cooperative Navigation in Dense Human Crowds
 Anirudh Vemula1, Katharina Muelling1 and Jean Oh1"

-bbc76f0e50ab96e7318816e24c65fd3459d0497c,Survey of Pedestrian Detection for Advanced Driver Assistance Systems,"JULY 2010
-Survey of Pedestrian Detection for
-Advanced Driver Assistance Systems
-David Gero´ nimo, Antonio M. Lo´ pez, Angel D. Sappa, Member, IEEE, and Thorsten Graf"

 bbd1eb87c0686fddb838421050007e934b2d74ab,Look at Boundary: A Boundary-Aware Face Alignment Algorithm,"(68	points)	COFW	(29	points)	AFLW	(19	points)	Figure1:Thefirstcolumnshowsthefaceimagesfromdifferentdatasetswithdifferentnumberoflandmarks.Thesecondcolumnillustratestheuniversallydefinedfacialboundariesestimatedbyourmethods.Withthehelpofboundaryinformation,ourapproachachieveshighaccuracylocalisationresultsacrossmultipledatasetsandannotationprotocols,asshowninthethirdcolumn.Differenttofacedetection[45]andrecognition[75],facealignmentidentifiesgeometrystructureofhumanfacewhichcanbeviewedasmodelinghighlystructuredout-put.Eachfaciallandmarkisstronglyassociatedwithawell-definedfacialboundary,e.g.,eyelidandnosebridge.However,comparedtoboundaries,faciallandmarksarenotsowell-defined.Faciallandmarksotherthancornerscanhardlyremainthesamesemanticallocationswithlargeposevariationandocclusion.Besides,differentannotationschemesofexistingdatasetsleadtoadifferentnumberoflandmarks[28,5,66,30](19/29/68/194points)andanno-tationschemeoffuturefacealignmentdatasetscanhardlybedetermined.Webelievethereasoningofauniquefacial"

 bbc8254b170918d619574496c138dac101dee61f,Context-aware robot navigation using interactively built semantic maps,"Research Article
 Akansel Cosgun* and Henrik I. Christensen
@@ -13966,11 +11971,6 @@ bb6ac4e26499dea5bdedb05b269f40f56247b4c6,An Action Unit based Hierarchical Rando
 bb7f2c5d84797742f1d819ea34d1f4b4f8d7c197,From Images to 3D Shape Attributes.,"TO APPEAR IN TPAMI
 From Images to 3D Shape Attributes
 David F. Fouhey, Abhinav Gupta, Andrew Zisserman"

-bb97664df153ac563e46ec2233346129cafe601b,A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance,"A study on the use of Boundary Equilibrium GAN for Approximate
-Frontalization of Unconstrained Faces to aid in Surveillance
-Wazeer Zulfikar, Sebastin Santy, Sahith Dambekodi and Tirtharaj Dash
-BITS Pilani - KK Birla Goa Campus, Goa, India
-{f20150003, f20150357, f20150192,"

 587f81ae87b42c18c565694c694439c65557d6d5,DeepFace : Face Generation using Deep Learning,"DeepFace: Face Generation using Deep Learning
 Hardie Cate
 Fahim Dalvi
@@ -13983,13 +11983,6 @@ University of T¨ubingen, T¨ubingen, Germany
 Leibniz-Institut f¨ur Wissensmedien, T¨ubingen, Germany
 Hector Research Institute of Education Sciences and Psychology, T¨ubingen,
 Germany"

-58542eeef9317ffab9b155579256d11efb4610f2,"Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten","International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
-Face Recognition Revisited on Pose, Alignment,
-Color, Illumination and Expression-PyTen
-Mugdha Tripathi
-Computer Science, BIT Noida, India"

 58d16e23e1192be4acaf6a29c1f5995817146554,Bringing back simplicity and lightliness into neural image captioning,"Bringing back simplicity and lightliness into neural image captioning
 Jean-Benoit Delbrouck and St´ephane Dupont
 {jean-benoit.delbrouck,
@@ -14025,15 +12018,6 @@ Dojun Yang
 Joon-Ho Kim
 Samsung Research, Samsung Electronics
 {hyun0772.lee, joody.kim, dojun.yang,"

-58db008b204d0c3c6744f280e8367b4057173259,Facial Expression Recognition,"International  Journal  of Current Engineering  and Technology
-ISSN 2277 - 4106
-© 2012  INPRESSCO.  All  Rights Reserved.
-Available at http://inpressco.com/category/ijcet
-Research Article
-Facial Expression  Recognition
-Riti Kushwahaa and  Neeta Naina*
-Department of Computer  Engineering Malaviya National Institute of Technology, Jaipur, Rajasthan, India
-Accepted 3June  2012,  Available online 8 June 2012"

 58fa85ed57e661df93ca4cdb27d210afe5d2cdcd,Facial expression recognition by re-ranking with global and local generic features,"Cancún Center, Cancún, México, December 4-8, 2016
 978-1-5090-4847-2/16/$31.00 ©2016 IEEE"

 587b607a176588b4646bcdb3d60b6204e98806fe,Extraction in Volumetric Bioimages A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering,"UNIVERSITY OF CALIFORNIA
@@ -14123,27 +12107,6 @@ Hangzhou Normal University
 Frédéric Gosselin
 Université de Montréal
 Caroline Blais"

-58970f1f51432a094faaeb3f4f70aa1778d61a42,Face Alignment Via Component-Based Discriminative Search,"Face Alignment via Component-based Discriminative
-Search
-Lin Liang
-Rong Xiao
-Fang Wen
-Jian Sun
-Microsoft Research Asia
-Beijing, China"

-5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e,Sparse Matching of Salient Facial Curves for Recognizing 3 D Faces,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391
-Sparse Matching of Salient Facial Curves for
-Recognizing 3D Faces
-Madhura Patil1, L. J. Sankpal2
-Pune University, Sinhgad Academy of Engineering, Kondhwa, Pune 411048, India
-Professor, Pune University, Sinhgad Academy of Engineering, Kondhwa, Pune 411048
-cknowledgment
-unique  mark
-cknowledgment.
-increase  acquisition  commotion
-furthermore"

 5860cf0f24f2ec3f8cbc39292976eed52ba2eafd,COMPUTATION EvaBio : A TOOL FOR PERFORMANCE EVALUATION IN BIOMETRICS,"International Journal of Automated Identification Technology, 3(2), July-December 2011, pp. 51-60
 COMPUTATION EvaBio: A TOOL FOR PERFORMANCE
 EVALUATION IN BIOMETRICS
@@ -14236,22 +12199,8 @@ Sinc(i)-FICH-UNL, CONICET, Ciudad Universitaria UNL - Santa Fe (Argentina)
 Laboratorio de Cibern´etica-FI-UNER, C.C. 47 Suc. 3-3100, Entre R´ıos (Argentina)"

 5882e62866fe1fcf7f8458e0bd0bcb39057afce3,Attention to Head Locations for Crowd Counting,"Attention to Head Locations for Crowd Counting
 Youmei Zhang, Chunluan Zhou, Faliang Chang, and Alex C. Kot, Fellow Member, IEEE"

-58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7,Towards a Unified 3 D Affective Model,"Towards a Unified 3D Affective Model
-Kuderna-Iulian Benţa1, Hannelore-Inge Lisei2, Marcel Cremene1
-Technical University of Cluj-Napoca, 400016 Cluj-Napoca, România,
-“Babeş-Bolyai“ University, 400084 Cluj-Napoca, România,
-{Iulian.Benta, Marcel.Cremene,"

 58a6eb3584b2f5df2f25d39a218904d510cae516,The UAVid Dataset for Video Semantic Segmentation,"The UAVid Dataset for Video Semantic Segmentation
 Ye Lyu1, George Vosselman1, Guisong Xia2, Alper Yilmaz3, Michael Ying Yang1∗"

-58a3d1e4745d047429facc96685d31da86eaccd4,AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving,"AuxNet: Auxiliary tasks enhanced
-Semantic Segmentation for Automated Driving
-Sumanth Chennupati1,3, Ganesh Sistu2, Senthil Yogamani2 and Samir Rawashdeh3
-Valeo Troy, United States
-Valeo Vision Systems, Ireland
-{sumanth.chennupati,
-University of Michigan-Dearborn
-Keywords:
-Semantic Segmentation, Multitask Learning, Auxiliary Tasks, Automated Driving."

 0dccc881cb9b474186a01fd60eb3a3e061fa6546,Effective face frontalization in unconstrained images,"Effective Face Frontalization in Unconstrained Images
 Tal Hassner1, Shai Harel1 †, Eran Paz1 † and Roee Enbar2
 The open University of Israel. 2Adience.
@@ -14297,21 +12246,6 @@ Hadidc
 Centre de D(cid:19)eveloppement des Technologies Avanc(cid:19)ees (DZ),
 Ecole Nationale Sup(cid:18)erieure d’Informatique (DZ),
 University of Oulu (FI)"

-0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,"CHENG et al.: CUSTOM PICTORIAL STRUCTURES FOR RE-IDENTIFICATION
-Custom Pictorial Structures for
-Re-identification
-Dong Seon Cheng1
-Marco Cristani1,2
-Michele Stoppa2
-Loris Bazzani1
-Vittorio Murino1,2
-http://profs.sci.univr.it/~swan
-Dipartimento di Informatica
-University of Verona
-Italy
-Istituto Italiano di Tecnologia
-Via Morego, 30
-6163 Genova, Italy"

 0d96c9d14f079b7b8b6b56b4fa86f611a4ff237f,Semi-supervised low-rank mapping learning for multi-label classification,"Semi-supervised Low-Rank Mapping Learning for Multi-label Classification
 Liping Jing1, Liu Yang1, Jian Yu1, Michael K. Ng2
 Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University. 2Department of Mathematics, Hong Kong Baptist University.
@@ -14414,12 +12348,6 @@ Northwestern Polytechincal University, 2Xidian University, 3Carnegie Mellon Univ
 Emilien Dupont
 Suhas Suresha
 Schlumberger Software Technology Innovation Center"

-0d21472dbf20d4c1bd48a15267b4a59eff80e309,Multi-component models for object detection,"Multi-component Models for Object Detection
-Chunhui Gu1, Pablo Arbel´aez2, Yuanqing Lin3, Kai Yu4, and Jitendra Malik2
-Google Inc., Mountain View, CA, USA
-UC Berkeley, Berkeley, CA, USA
-NEC Labs America, Cupertino, CA, USA
-Baidu Inc., Beijing, China"

 0df347f5e3118fac7c351917e3a497899b071d1e,Datasheets for Datasets,"Datasheets for Datasets
 Timnit Gebru 1 Jamie Morgenstern 2 Briana Vecchione 3 Jennifer Wortman Vaughan 1 Hanna Wallach 1
 Hal Daumé III 1 4 Kate Crawford 1 5"

@@ -14525,13 +12453,6 @@ Jing Xiao†
 Tony X. Han∗
 Dept. of ECE, Univ. of Missouri
 Columbia, MO, USA"

-0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a,Detection and Tracking of Faces in Videos: A Review of Related Work,"Detection and Tracking of Faces in Videos: A Review
-© 2016 IJEDR | Volume 4, Issue 2 | ISSN: 2321-9939
-of Related Work
-Seema Saini, 2 Parminder Sandal
-Student, 2Assistant Professor
-, 2Dept. of Electronics & Comm., S S I E T, Punjab, India
-________________________________________________________________________________________________________"

 0db787317ba0d63ec8f9918905e7db181a489026,Automatic Eye Localization in Color Images,"Automatic Eye Localization in Color Images
 José Gilvan Rodrigues Maia1, Fernando de Carvalho Gomes1, Osvaldo de Souza2
 Departamento de Computação – Universidade Federal do Ceará (UFC)
@@ -14595,10 +12516,6 @@ http://pss.sagepub.com
 Lisa Feldman Barrett1,2,3 and Elizabeth A. Kensinger1,3
 Boston College; 2Psychiatric Neuroimaging Program, Massachusetts General Hospital, Harvard Medical School; and 3Athinoula A. Martinos
 Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School"

-0dd74bbda5dd3d9305636d4b6f0dad85d6e19572,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,"Heterogeneous Face Attribute Estimation:
-A Deep Multi-Task Learning Approach
-Hu Han, Member, IEEE, Anil K. Jain, Fellow, IEEE, Fang Wang,
-Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE"

 0d2a9f3357717e0a44eb82d5eabfc047cc4d46f1,Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification,"Classifier Ensembles with Trajectory Under-Sampling
 for Face Re-Identification
 Roghayeh Soleymani1, Eric Granger1 and Giorgio Fumera2
@@ -14646,11 +12563,6 @@ Ryan Farrell1,2
 Forrest Iandola1
 ICSI / UC Berkeley 2Brigham Young University
 Trevor Darrell1"

-0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306,Review of Perceptual Resemblance of Local Plastic Surgery Facial Images using Near Sets,"Review of Perceptual Resemblance of Local
-Plastic Surgery Facial Images using Near Sets
-Prachi V. Wagde1, Roshni Khedgaonkar2
-,2 Department of Computer Technology,
-YCCE Nagpur, India"

 0da611ca979327840161df87564fd07299c268b5,Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts,"Bodyprint
 Biometric User Identification on Mobile Devices
 Using the Capacitive Touchscreen to Scan Body Parts
@@ -14723,17 +12635,6 @@ FaceID-BOINC: adapta¸c˜ao de algoritmos de reconhecimento facial (eigenfaces)
 em m´aquinas multicore e GPUs integrado num cliente para plataforma BOINC
 Nuno Miguel Abreu Teixeira - 55397
 Instituto Superior T´ecnico"

-b6aaaf6290ba0ca13be61d122907617f1ea86315,Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT,"Embedded Face Recognition
-Using Cascaded Structures
-PROEFSCHRIFT
-ter verkrijging van de graad van doctor aan de
-Technische Universiteit Eindhoven, op gezag van de
-Rector Magnificus, prof.dr.ir. C.J. van Duijn, voor een
-ommissie aangewezen door het College voor
-Promoties in het openbaar te verdedigen op
-dinsdag 3 oktober 2006 om 16.00 uur
-Fei Zuo
-geboren te Xi’an, China"

 b6aaef3be3e93a5429511011b3fcf1c768521efc,Car Detection and Tracking from a Vehicle Driving on a Roundabout,"Bachelor thesis
 Czech
 Technical
@@ -14792,10 +12693,6 @@ Christian Banz, Peter Pirsch, and Holger Blume
 Institute of Microelectronic Systems
 Leibniz Universität Hannover, Hannover, Germany
 KEY WORDS: Stereoscopic, Quality, Matching, Vision, Reconstruction, Camera, Disparity Estimation, Semi-Global Matching"

-b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,"Identifying User-Specific Facial Affects from
-Spontaneous Expressions with Minimal Annotation
-Michael Xuelin Huang, Grace Ngai, Kien A. Hua, Fellow, IEEE, Stephen C.F. Chan, Member, IEEE
-nd Hong Va Leong, Member, IEEE Computer Society"

 b6dc1cd3cabdfea7363d41773a315a0d241dc836,Local Context Priors for Object Proposal Generation,"Local Context Priors for Object Proposal
 Generation
 Marko Ristin1, Juergen Gall2, and Luc Van Gool1,3
@@ -14810,9 +12707,6 @@ the date of receipt and acceptance should be inserted later"
 b68dfa8723be662e6af76bef159ed929bf8a1a2f,Distance weighted discrimination of face images for gender classification,"Distance weighted discrimination of face images for
 gender classification
 Mónica Benito1, Eduardo García-Portugués1,4, J. S. Marron2, and Daniel Peña1,3"

-b6d794f73ef7f2a6ffb4738a7dee334f512046bf,Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey,"Deep Learning Algorithms with Applications to
-Video Analytics for A Smart City: A Survey
-Li Wang, Member, IEEE, and Dennis Sng"

 b6fd905efd5da32bd32047896074a821477cb564,An Human Perceptive Model for Person Re-identification,"An Human Perceptive Model for Person Re-identification
 Angelo Cardellicchio1, Tiziana D’Orazio1, Tiziano Politi2 and Vito Ren`o1
 National Research Council, Institute of Intelligent Systems for Automation, Bari, Italia
@@ -14876,22 +12770,6 @@ Semantics
 Nipun Bhatia, Rakshit Kumar, Samir Menon
 Department of Computer Science, Stanford University.
 December 14, 2007"

-b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,"International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013                                                                    1096
-ISSN 2229-5518
-Object Recognition based on Principal
-Component Analysis to Image Patches
-R.Ahilapriyadharsini
-Mepco Schlenk Engineering
-College,
-Sivakasi, India
-S.Arivazhagan
-M.Gowthami
-Mepco Schlenk Engineering
-Renganayagi Varatharaj College of
-College,
-Sivakasi, India
-Engineering, Salvarpatti,
-Sivakasi, India."

 b67e0ae9d64ec06b3e1c25c7f7e8b86020612d33,VOCABULARY-INFORMED VISUAL FEATURE AUGMEN-,"Under review as a conference paper at ICLR 2018
 VOCABULARY-INFORMED VISUAL FEATURE AUGMEN-
 TATION FOR ONE-SHOT LEARNING"

@@ -14903,11 +12781,6 @@ Northwestern Polytechnical University 2Johns Hopkins University 3Beihang Univers
 b63041d05b78a66724fbcb2803508999bf885d6b,Deep Sets,"Deep Sets
 Manzil Zaheer 1 2 Satwik Kottur 2 Siamak Ravanbhakhsh 2 Barnabas Poczos 2 Ruslan Ssalakhutdinov 2
 Alexander Smola 1 2"

-b658fefafe36edf7c62fbc9eb728ef971f478e27,Learning a low-rank shared dictionary for object classification,"ACCEPTED TO IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016
-LEARNING A LOW-RANK SHARED DICTIONARY
-FOR OBJECT CLASSIFICATION
-Tiep H. Vu, Vishal Monga
-Pennsylvania State University, University Park, PA"

 b6f682648418422e992e3ef78a6965773550d36b,"CBMM Memo No . 061 February 8 , 2017 Full interpretation of minimal images","February 8, 2017"

 b62628ac06bbac998a3ab825324a41a11bc3a988,Xm2vtsdb: the Extended M2vts Database,"SecondInternationalConferenceonAudioandVideo-basedBiometricPersonAuthentication(AVBPA'		),WashingtonD.C,

 XMVTSDB:TheExtendedMVTSDatabase
@@ -14958,10 +12831,6 @@ S´ergio Montazzolli Silva[0000−0003−2444−3175] and Cl´audio Rosito
 Jung[0000−0002−4711−5783]
 Institute of Informatics - Federal University of Rio Grande do Sul
 Porto Alegre, Brazil"

-2e1ff08fb5790e3b5ba7864408628467795a9df4,Human Pose Estimation with Fields of Parts,"Human Pose Estimation
-with Fields of Parts
-Martin Kiefel and Peter Vincent Gehler
-Max Planck Institute for Intelligent Systems, T¨ubingen Germany"

 2e56209ed179be641e6df5efd11be8b3d54a62e9,Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors,"Article
 Combining Deep and Handcrafted Image Features for
 Presentation Attack Detection in Face Recognition
@@ -15061,26 +12930,6 @@ The  starting  point  of  our  dataset  is  a  real
 surveillance  setup,  composed  by  8  different
 surveillance cameras, monitoring a section of the
 ampus  of  the  University  of  Modena  and  Reggio"

-2eb37a3f362cffdcf5882a94a20a1212dfed25d9,Local Feature Based Face Recognition,"Local Feature Based Face Recognition
-Sanjay A. Pardeshi and Sanjay N. Talbar
-R.I.T., Rajaramnagar and S.G.G.S. COE &T, Nanded
-India
-. Introduction
-A  reliable  automatic  face  recognition  (AFR)  system  is  a  need  of  time  because  in  today's
-networked  world,  maintaining  the  security  of  private  information  or  physical  property  is
-ecoming increasingly important and difficult as well. Most of the time criminals have been
-taking  the  advantage  of  fundamental  flaws  in  the  conventional  access  control  systems  i.e.
-the systems operating on credit card, ATM etc. do not grant access by ""who we are"", but by
-""what  we  have”.  The  biometric  based  access  control systems  have  a  potential  to  overcome
-most  of  the  deficiencies  of  conventional  access  control  systems  and  has  been  gaining  the
-importance  in  recent  years.  These  systems  can  be  designed  with  biometric  traits  such  as
-fingerprint,  face,  iris,  signature,  hand  geometry  etc.  But  comparison  of  different  biometric
-traits shows that face is very attractive biometric because of its non-intrusiveness and social
-cceptability.  It  provides  automated  methods  of  verifying  or  recognizing  the  identity  of  a
-living person based on its facial characteristics.
-In last decade, major advances occurred in face recognition, with many systems capable of
-chieving  recognition  rates  greater  than  90%.  However  real-world  scenarios  remain  a
-hallenge, because face acquisition process can undergo to a wide range of variations. Hence"

 2ed9a69ee6509c0b3fe5a51d1116dccc877653ba,Reconstruction and Analysis of Shapes from 3D Scans,"Reconstruction and Analysis
 of Shapes from 3D Scans"

 2e1add06cc82d139348056fe43282f1ca1832e5b,Local 3 D Shape Analysis for Facial Expression Recognition,"Local 3D Shape Analysis for Facial Expression
@@ -15178,21 +13027,6 @@ Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
 NVIDIA
 {pauliusm, alben, dagarcia, bginsburg, mhouston,
 okuchaiev, gavenkatesh,"

-2e956e178fd50ab140f30f9255a83d853c8be210,Robust Facial Expression Recognition via Compressive Sensing,"Sensors 2012, 12, 3747-3761; doi:10.3390/s120303747
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Article
-Robust Facial Expression Recognition via Compressive Sensing
-Shiqing Zhang 1, Xiaoming Zhao 2,* and Bicheng Lei 1
-School of Physics and Electronic Engineering, Taizhou University, Taizhou 318000, China;
-E-Mails: (S.Z.); (B.L.)
-Department of Computer Science, Taizhou University, Taizhou 318000, China
-*  Author to whom correspondence should be addressed; E-Mail:
-Tel./Fax: +86-576-8513-7178.
-Received: 28 December 2011; in revised form: 19 February 2012 / Accepted: 16 March 2012 /
-Published: 21 March 2012"

 2e55fd3f5138e55250aed84a7dc17adfc34970d3,The implications of social neuroscience for social disability.,"J Autism Dev Disord (2012) 42:1256–1262
 DOI 10.1007/s10803-012-1514-z
 O R I G I N A L P A P E R
@@ -15268,10 +13102,6 @@ E‐mail:"
 ENSEMBLE FOR ATTRIBUTE PERSONALIZATION
 Shrenik Lad1, Bernardino Romera Paredes2, Julien Valentin2, Philip Torr2, Devi Parikh1
 . Virginia Tech 2. University of Oxford"

-2e585adbe1f434396ca6a669dd91914d4d4bf42a,Early Prediction for Physical Human Robot Collaboration in the Operating Room,"TO APPEAR IN AUTONOMOUS ROBOTS, SPECIAL ISSUE IN LEARNING FOR HUMAN-ROBOT COLLABORATION
-Early Prediction for Physical Human Robot
-Collaboration in the Operating Room
-Tian Zhou, Student Member, IEEE, and Juan Wachs, Member, IEEE"

 2efc4eee3953f6b52e23989bbcc2598a91e18ba0,External Cameras and a Mobile Robot for Enhanced Multi-person Tracking,"RFAntennas2D SICKLaserFirewire Cameraon PTU        LaptopCamera 1Flea RGB Camera 2Flea RGBHubFirewireFigure1:Perceptualplatform;staticcameras(withroughpositionsandfieldsofview)andthemobilerobotRackham.Thispaperisstructuredasfollows:architectureofthecooperativesystemispresentedinsection2.Sec-tion3describesthedifferentdetectionmodalitiesthatdrivethemulti-persontracker(presentedinsection4).Evaluationsandresultsarepresentedinsection5fol-lowedbyconcludingremarksinsection6.2ARCHITECTUREOurcooperativeframeworkismadeupofamobilerobotandtwofixedviewwall-mountedRGBflea2cameras(figure1).Thecamerashaveamaximumres-olutionof640x480pixelsandareconnectedtoadual-coreIntelCentrinoLaptopviaafire-wirecable.Therobot,calledRackham,isaniRobotB21rmobileplat-form.Ithasvarioussensors,ofwhichitsSICKLaserRangeFinder(LRF)isutilizedinthiswork.Commu-nicationbetweenthemobilerobotandthecomputer"

 2e64682caf77309db573ee439d988233f71e88ad,Establishing Good Benchmarks and Baselines for Face Recognition,"Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France
 (2008)"""

@@ -15306,18 +13136,6 @@ WP BRP 60/PSY/2016
 This Working Paper is an output of a research project implemented at the National Research
 University Higher School of Economics (HSE). Any opinions or claims contained in this
 Working Paper do not necessarily reflect the views of HSE"

-e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition","Volume 5, Issue 2, February 2015                                  ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-Image worth Evaluation for False Biometric Detection: Submission to
-Iris, Fingerprint and Face Recognition
-Boggarapu Srinivasulu, 2 Dr. M. Ekambaram Naidu, 3Dr. E. Sreenivasa Reddy
-Assistant Professor, Dept of CSE, Mother Theresa Institute of Engineering & Technology
-Palamaner, Chittoor Dist, AP, India
-Principal & Professor (CSE), TRR Engineering College, Hyderabad, India
-Dean& Professor (CSE), Acharya Nagarjuna University, Nagarjunanagar, Guntur, India"

 e27301701e4d2d7da4171e6c560c4fb3f974bf2d,Comparative Evaluations of Selected Tracking-by-Detection Approaches,"Comparative Evaluations of Selected
 Tracking-by-Detection Approaches
 Alhayat Ali Mekonnen, Frédéric Lerasle
@@ -15358,16 +13176,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-e267c813d8804019fbd8e018171dd05255b10fee,PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES FOR FACE AUTHENTICATION,"Canadian Journal of Pure and Applied Sciences
-Vol. 9, No. 1, pp. 3299-3306, February 2015
-Online ISSN: 1920-3853; Print ISSN: 1715-9997
-Available online at www.cjpas.net
-PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES
-FOR FACE AUTHENTICATION
-*Krishna Dharavath, Fazal Ahmed Talukdar, Rabul Hussain Laskar
-Speech and Image Processing Research Lab.,
-Department of Electronics and Communication Engineering
-National Institute of Technology Silchar, India"

 e27ef52c641c2b5100a1b34fd0b819e84a31b4df,SARC3D: A New 3D Body Model for People Tracking and Re-identification,"SARC3D: a new 3D body model for People
 Tracking and Re-identification
 Davide Baltieri, Roberto Vezzani, and Rita Cucchiara
@@ -15556,10 +13364,6 @@ referred  to  as  “mind-reading”  (Siegal  and  Varley  2002;  Stone  et  al
 998).  In  particular,  individuals  with  autism  have  distinct  diffi-"

 e25e07cfd0818a499033caf9d7aa8ef4feec981b,Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge,"Pages 84.1-84.12
 DOI: https://dx.doi.org/10.5244/C.30.84"

-e23a75430f777e982b0715b6f8a048d4bbfea438,Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification,"Maximum Margin Metric Learning Over Discriminative
-Nullspace for Person Re-identification
-T M Feroz Ali1 and Subhasis Chaudhuri1
-Indian Institute of Technology Bombay, Mumbai, India"

 e2b8ba13586bb9a96e4813472d1f763d37ead47d,Media Content Access : Image-Based Filtering,"(IJACSA) International Journal of Advanced Computer Science and Applications,
 Vol. 9, No. 3, 2018
 Media Content Access: Image-Based Filtering
@@ -15670,14 +13474,6 @@ P.G. Student 2Assistant Professor
 ,2DR C V Raman Institute of Science and Technology Kota, bilaspur
 systems,
 surveillance"

-7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f,Face Sketch to Photo Matching Using LFDA and Pre-Processing,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Face Sketch to Photo Matching Using LFDA and
-Pre-Processing
-Pushpa Gopal Ambhore1, Lokesh Bijole2
-Research Scholar, 2Assistant professor, Computer Engineering Department,
-Padm. Dr. V. B. Kolte College of Engineering, Malkapur, Maharashtra, India"

 7e7430b5b6ffc470284b8fa94840797610d450ad,Free-space detection using online disparity-supervised color modeling,"Free-space detection using online disparity-supervised
 olor modeling
 Sanberg, W.P.; Dubbelman, G.; de With, P.H.N.
@@ -15718,12 +13514,6 @@ CLASSIFICATION
 Habib Ullah
 Advisor: Nicola Conci, PhD
 February 2015"

-7e2ff809f2f38eaf070fe36ad054e61c31b6b9e8,"Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks","Learning Sparse High Dimensional Filters:
-Image Filtering, Dense CRFs and Bilateral Neural Networks
-Varun Jampani1, Martin Kiefel1,2 and Peter V. Gehler1,2
-Max Planck Institute for Intelligent Systems, T¨ubingen, 72076, Germany
-Bernstein Center for Computational Neuroscience, T¨ubingen, 72076, Germany
-{varun.jampani, martin.kiefel,"

 7e5414277148c8fdf9903068b001887225b69868,Perceptive Parallel Processes Coordinating Geometry and Texture,"Perceptive Parallel Processes Coordinating Geometry and Texture
 Marco A. Gutierrez1, Rafael E. Banchs2 and Luis F. D'Haro2"

 7e3693fffef8d83ac109309a77f2545d32c10fc3,The effect of Ramadan fasting on spatial attention through emotional stimuli,"Psychology Research and Behavior Management
@@ -15746,14 +13536,6 @@ Department of clinical sciences, Faculty
 of Biosciences and Medical engineering,
 Universiti Teknologi Malaysia (UTM),
 81310 Johor Bahru, Johor, Malaysia"

-7e79c3a92f60c55a6970f89acfa152bcf74823e0,Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations,"Int. J. Advance. Soft Comput. Appl., Vol. 1, No. 2, November 2009
-ISSN 2074-8523; Copyright © ICSRS Publication, 2009
-www.i-csrs.org
-Face Recognition using FSS-DSOP for Small
-Sample Size Problem with Illumination
-Variations
-Ganesh Bhat, K.K. Achary
-Canara Engineering College,Department of Electronics, India"

 7e53ab07d0ce28484830329036a1fc018b9644dd,Online multiple people tracking-by-detection in crowded scenes,"Journal of Advances in Computer Engineering and Technology, 1(2) 2015
 Online multiple people tracking-by-detection in
 rowded scenes
@@ -15777,26 +13559,6 @@ Institute of Cartography and Geoinformatics,
 Ruprecht-Karls Universit¨at Heidelberg, Germany
 Heidelberg, Germany
 Leibniz Universit¨at Hannover, Germany"

-7ed1b3a0c270c6cac133e91858e3848d843e1ec2,Principal Component Analysis With Complex Kernels,"IEEE TRANSACTIONS ON NEURAL NETWORKS & LEARNING SYSTEMS- SPECIAL ISSUE ON COMPLEX- AND HYPERCOMPLEX-VALUED NEURAL NETWORKS 1
-Principal Component Analysis With Complex Kernels
-Athanasios Papaioannou, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE,
-Non-linear complex representations, via the use of complex kernels,
-an be applied to model and capture the nonlinearities of complex
-data. Even though, the theoretical tools of Complex Reproducing Kernel
-Hilbert Spaces (CRKHS) have been recently successfully applied to the
-design of digital filters and regression and classification frameworks
-there is limited research on component analysis and dimensionality
-reduction in CRKHS. The aim of this paper is to properly formulate the
-most popular component analysis methodology, i.e. Principal Component
-Analysis (PCA), in CRKHS. In particular, we define a general Widely
-Linear Kernel Complex PCA (WLCKPCA) framework. Furthermore, we
-show how to efficiently perform Widely Linear PCA (WLPCA) in small
-sample sized problems. Finally, we show the usefulness of the proposed
-framework in robust reconstruction using Euler data representation.
-Index Terms—Principal Component Analysis, Complex Kernels, Pat-
-tern Recognition, Machine vision
-I. INTRODUCTION
-P RINCIPAL component analysis (PCA), which appeared first"

 7ea07b7b27d59300840df17e5881dbe3a4769872,Detection driven adaptive multi-cue integration for multiple human tracking,"Detection Driven Adaptive Multi-cue Integration for Multiple Human Tracking
 Ming Yang, Fengjun Lv, Wei Xu, Yihong Gong
 NEC Laboratories America, Inc.
@@ -15887,11 +13649,6 @@ Copyright 2007 Eyad Haj Said"
 fdf533eeb1306ba418b09210387833bdf27bb756,Exploiting Unrelated Tasks in Multi-Task Learning,

 fdf31db5aa8cf8a7f9ac84fcc7b0949e8e000a41,MODELING FASHION Anonymous ICME submission,"MODELING FASHION
 Anonymous ICME submission"

-fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,"FASHION CLOTHES MATCHING SCHEME LEARNED FROM FASHIONISTA’S
-SUGGESTIONS IN MICROBLOG
-Guangyu Gao1, Yihang Zhang1, Songyang Du2
-School of Software, Beijing Institute of Technology. Beijing 100081, China
-Beijing Special Vehicle Research Institute. Beijing 100072, China"

 fd8b1715ad34858bf8650ac549c4249d86edbb7c,A survey of techniques for human segmentation from static images,"International Association of Scientific Innovation and Research (IASIR)
 (An Association Unifying the Sciences, Engineering, and Applied Research)
 ISSN (Print): 2279-0063
@@ -16004,9 +13761,6 @@ Sage Publications, Inc., Association for Psychological Science are collaborating
 digitize, preserve and extend access to Psychological Science in the Public Interest
 This content downloaded from 129.133.179.122 on Tue, 07 Feb 2017 15:41:42 UTC
 All use subject to http://about.jstor.org/terms"

-fd67b9812fa4aef6c5dfb633df4406105cdb4e8f,Zero-Shot Learning with Generative Latent Prototype Model,"Zero-Shot Learning with Generative Latent
-Prototype Model
-Yanan Li, Student Member, IEEE, Donghui Wang, Member, IEEE"

 fdca08416bdadda91ae977db7d503e8610dd744f,The Ksera Project (http://www.ksera under the 7th Framework Programme (fp7) for Research and Technological Development under Grant Human Robot Interaction Ksera Project (http://www.ksera-project.eu) Has Received Funding from the European Commission under the 7th Framework Programme (fp7) for Researc,"ICT-2009.7.1
 KSERA Project
 010-248085
@@ -16024,11 +13778,6 @@ under the 7th Framework Programme (FP7) for Research and Technological Developme
 under the 7th Framework Programme (FP7) for Research and Technological Development under grant
 greement n°2010-248085."

 fd4537b92ab9fa7c653e9e5b9c4f815914a498c0,One-Sided Unsupervised Domain Mapping,

-fd6d2e4f939b8d804a6b5908bded8f1ad2563e38,Stabilizing GAN Training with Multiple Random Projections,"Stabilizing GAN Training with
-Multiple Random Projections
-Behnam Neyshabur Srinadh Bhojanapalli Ayan Chakrabarti
-Toyota Technological Institute at Chicago
-6045 S. Kenwood Ave., Chicago, IL 60637"

 fde3f34a1accadb73269e4beef487611f682b781,"Before A Computer Can Draw, It Must First Learn To See","Before A Computer Can Draw, It Must First Learn To See
 Derrall Heath and Dan Ventura
 Computer Science Department
@@ -16212,14 +13961,6 @@ Research Center and Laboratoire
 d’Informatique de Grenoble (LIG)
 655 avenue de l’Europe
 8 334 Saint Ismier Cedex, France"

-5cbed05521a44b568c77879fb0b84e1fa27d12e0,Gait-Based Recognition of Humans Using Continuous HMMs,"Gait-based Recognition of Humans Using Continuous HMMs(cid:3)
-A. Kale
, A.N. Rajagopalan, N. Cuntoor
 and V. Kr¨uger

-
 Center for Automation Research
-University of Maryland at College Park
-College Park, MD 20742
- Department of Electrical Engineering
-Indian Institute of Technology Madras
-Chennai-600 036, India"

 5cebc83001ea0737cc46360850fd294327c82013,MEMORY-BASED GAIT RECOGNITION 1 Memory-based Gait Recognition,"DANLIUet al.:MEMORY-BASEDGAITRECOGNITION
 Memory-based Gait Recognition
 Dan Liu
@@ -16255,15 +13996,6 @@ ompensating the egomotion of the camera. To obtain the optical flow, two consecu
 pixels; then each cell is tracked in the current frame to find corresponding cell in the next frame. Using at least three corresponding
 ells, affine transformation is performed according to each corresponding cell in the consecutive images, so that conformed optical
 flows are extracted. The regions of moving object are detected as transformed objects, which are different from the previously"

-5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0,Reference Face Graph for Face Recognition,"Reference Face Graph for Face Recognition
-Mehran Kafai, Member, IEEE, Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE"

-5c5304b79ebc2afd28ade6bb88daa80144ae3587,Review of Human-Robot Interactive Modelling and Application for Elders,"COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 408-413
-Han Jing, Xie, Lun Xu Shangmou, Wang Zhiliang
-Review of Human-Robot Interactive Modelling and
-Application for Elders
-Jing Han, Lun Xie*, Shangmou Xu, Zhiliang Wang
-School of Computer and Communication Engineering, University of Science and Technology Beijing, No.30 Xueyuan  road, Beijing, China
-Received 23 November 2014, www.cmnt.lv"

 5c1e0e94d6cb74448c7b3c1e0db42121be4e9bd6,Saliency Detection using regression trees on hierarchical image segments,"SALIENCY DETECTION USING REGRESSION TREES ON
 HIERARCHICAL IMAGE SEGMENTS
 G¨okhan Yildirim, Appu Shaji, Sabine S¨usstrunk
@@ -16371,30 +14103,6 @@ Rahul Tewari
 Paulo R. S. Mendonc¸a
 Amazon Web Services"

 5c3fd194ba96c5eea41c0772ad0b2292dedcd197,Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm,

-5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,"Proceedings of Machine Learning Research 95:863-878, 2018
-ACML 2018
-Refining Synthetic Images with Semantic Layouts by
-Adversarial Training
-Tongtong Zhao
-Dalian Maritime University
-Dalian 116026, China
-Yuxiao Yan
-Dalian Maritime University
-Dalian 116026, China
-JinJia Peng
-Dalian Maritime University
-Dalian 116026, China
-HaoHui Wei
-Dalian Maritime University
-Dalian 116026, China
-Xianping Fu
-Dalian Maritime University
-Dalian 116026, China
-Editors: Jun Zhu and Ichiro Takeuchi"

-5cfa8d0384bcdf5dfd7501561c748e69f3a2a747,Lip AUs Detection by Boost-SVM and Gabor,"Lip AUs Detection by Boost-SVM and Gabor
-Xianmei Wang, Yuyu Liang, Xiujie Zhao and Zhiliang Wang
-School of Computer and Communication Engineering, University of Science and Technology, Beijing, China
-Email:"

 5cdc02ed9f456219369fe3115321564c9955b9ae,Real-time Analysis and Visualization of the YFCC 100 m Dataset,"Real-time Analysis and Visualization
 of the YFCC100m Dataset
 Firstname Lastname
@@ -16405,8 +14113,6 @@ Chengchao Qu1,2 Christian Herrmann1,2 Eduardo Monari2 Tobias Schuchert2
 J¨urgen Beyerer2,1
 Vision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT)
 Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB)"

-5c77901df1e0f52a9774b39e730c31afbc1214a7,Learning Social Tag Relevance by Neighbor Voting,"Learning Social Tag Relevance by Neighbor Voting
-Xirong Li, Cees G. M. Snoek, Member, IEEE, Marcel Worring, Member, IEEE"

 5cff58d081a4732b11e6da498196ed6fbb54d15b,Adversarial Examples for Semantic Segmentation and Object Detection,"Adversarial Examples for Semantic Segmentation and Object Detection
 Cihang Xie1*, Jianyu Wang2*, Zhishuai Zhang1∗, Yuyin Zhou1, Lingxi Xie1, Alan Yuille1
 Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218 USA
@@ -16519,46 +14225,12 @@ Yecheng Lyu and Xinming Huang
 Department of Electrical and Computer Engineering
 Worcester Polytechnic Institute
 Worcester, MA 01609, USA"

-7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,"IEEE Int. Conference Neural Networks & Signal Processing
-Zhenjiang, China, June 8~10, 2008
-AN EFFICIENT EXAMPLE-BASED APPROACH FOR IMAGE
-SUPER-RESOLUTION
-Xiaoguang Li1,2, Kin Man Lam2, Guoping Qiu3, Lansun Shen1 and Suyu Wang1
-. Signal & Information Processing Lab. Beijing University of Technology, Beijing, China, 100124
-. Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong
-Polytechnic University, Hong Kong
-. Department of Computer Science, Nottingham University, UK"

-7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d,"The CMU Pose, Illumination, and Expression Database","IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 12, DECEMBER 2003
-REFERENCES
-[1] M. Carcassoni and E.R. Hancock, “Spectral Correspondence for Point
-Pattern Matching,” Pattern Recognition, vol. 36, no. 1, pp. 193-204, 2003.
-[2] H. Chui and A. Rangarajan, “Non-Rigid Point Matching Using Mixture
-Models,” Proc. Workshop Math. Methods in Biomedical Image Analysis, pp. 190-
-97, 2000.
-F.R.K. Chung, Spectral Graph Theory, CBMS series, AMS ed. vol. 92, 1997.
-T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham, “Active Shape
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-[5] A.D.J. Cross and E.R. Hancock, “Graph Matching with Dual Step Em
-Algorithm,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20,
-pp. 1236-1253, 1998.
-S. Gold and A. Rangarajan, “A Graduated Assignment Algorithm for
-Graph Matching,” IEEE Trans. Pattern Analysis and Machine Intelligence,
-vol. 18, no. 4, pp. 377-388, Apr. 1996.
-P.J. Green, “Bayesian Reconstruction from Emission Tomography Data
-Using a Modified Em Algorithm,” IEEE Trans. Medical Imaging, vol. 9,
-pp. 84-93, 1990."

 7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5,Sparse Output Coding for Scalable Visual Recognition,"Int J Comput Vis (2016) 119:60–75
 DOI 10.1007/s11263-015-0839-4
 Sparse Output Coding for Scalable Visual Recognition
 Bin Zhao1 · Eric P. Xing1
 Received: 15 May 2013 / Accepted: 16 June 2015 / Published online: 26 June 2015
 © Springer Science+Business Media New York 2015"

-7f511a6a2b38a26f077a5aec4baf5dffc981d881,Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network,"LOW-LATENCY HUMAN ACTION RECOGNITION WITH WEIGHTED MULTI-REGION
-CONVOLUTIONAL NEURAL NETWORK
-Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63)
-(cid:63)University of Science and Technology of China, Hefei, Anhui, China
-HERE Technologies, Chicago, Illinois, USA"

 7ff83f10e49e81ce6f66270e8f3f42dd2c6eb3ed,PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report,"PIRM Challenge on Perceptual Image Enhancement
 on Smartphones: Report
 Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X Pham, Cao Van Nguyen,
@@ -16579,19 +14251,11 @@ Paul Natsev
 Balakrishnan Varadarajan
 Sudheendra Vijayanarasimhan
 Google Research"

-7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44,Learning a temporally invariant representation for visual tracking,"LEARNING A TEMPORALLY INVARIANT REPRESENTATION FOR VISUAL TRACKING
-Chao Ma(cid:63)†, Xiaokang Yang(cid:63), Chongyang Zhang(cid:63), and Ming-Hsuan Yang†
-(cid:63)Shanghai Jiao Tong University, China
-University of California at Merced, USA"

 7fdcb6638a9e01986cd8fb4133b4448700087faf,Expression-Invariant Multispectral Face Recognition : You Can Smile Now !,"Expression-Invariant Multispectral Face Recognition:
 You Can Smile Now!
 Ioannis A. Kakadiarisa, George Passalisa, George Todericia, Yunliang Lua,
 Nikos Karampatziakisa, Najam Murtuzaa, Theoharis Theoharisa
 Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, TX, USA"

-7f65bbc93cf414d4889773b697b1833e85f0a15f,Neural Perspective to Jigsaw Puzzle Solving,"Neural Perspective to Jigsaw Puzzle Solving
-Viveka Kulharia⇤, Arnab Ghosh⇤, Nikhil Patil?, Piyush Rai
-Department of Computer Science, IIT Kanpur
-Kanpur, India"

 7fa41631cdef8f7fba7e1289dd4c5f3723b172ab,A robust and isotropic curved surface representation for 3D faces description,"A robust and isotropic curved surface representation for 3D faces
 description
 Majdi Jribi and Faouzi Ghorbel"

@@ -16601,16 +14265,6 @@ www.iosrjournals.org
 Improved Face Recognition Rate Using HOG Features and SVM
 Classifier
 Harihara Santosh Dadi, Gopala Krishna Mohan Pillutla"

-7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,"How to Train Triplet Networks with 100K Identities?
-Chong Wang
-Orion Star
-Beijing, China
-Xue Zhang
-Orion Star
-Beijing, China
-Xipeng Lan
-Orion Star
-Beijing, China"

 7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,"Deep Multi-Task Learning to Recognise Subtle Facial Expressions of
 Mental States
 Hu, G., Liu, L., Yuan, Y., Yu, Z., Hua, Y., Zhang, Z., ... Yang, Y. (2018). Deep Multi-Task Learning to Recognise
@@ -16737,30 +14391,6 @@ Karen L. Schmidt, Zara Ambadar, Jeffrey F. Cohn, and L. Ian Reed"
 7fc70f6dbbbc9221552c8547cd10ffc13d11b276,Respectful cameras: detecting visual markers in real-time to address privacy concerns,"Respectful Cameras: Detecting Visual Markers in
 Real-Time to Address Privacy Concerns
 Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, Ken Goldberg"

-7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,"CHAPTER 1
-An Expert Local Mesh Correlation Histograms for
-Biomedical Image Indexing and Retrieval
-Santosh Kumar Vipparthi, Subrahmanyam Murala, S.K. Nagar and Anil
-Balaji Gonde
-Santosh Kumar Vipparthi
-Department of Computer Science and Engineering
-Malaviya National Institute of Technology
-Jaipur, India
-e-mail:
-Subrahmanyam Murala
-Department of Electrical Engineering
-Indian Institute of Technology Ropar
-India
-e-mail:
-S.K. Nagar
-Department of Electrical Engineering
-Indian Institute of Technology Banaras Hindu University
-India
-e-mail:"

-7f268f29d2c8f58cea4946536f5e2325777fa8fa,Facial Emotion Recognition in Curvelet Domain,"Facial Emotion Recognition in Curvelet Domain
-Gyanendra K Verma and Bhupesh Kumar Singh
-Indian Institute of Informaiton Technology, Allahabad, India
-Allahabad, India - 211012"

 3347d3e9f8a2da66e1c00f6a1e56bb37d27145ae,devant le jury composé de:,"Spécialité: Informatique et Télécommunications    Ecole doctorale: Informatique, Télécommunications et Electronique de Paris  Présentée par   Raluca-Diana ŞAMBRA-PETRE  Pour obtenir le grade de DOCTEUR DE TELECOM SUDPARIS    MODELISATION ET INFERENCE 2D/3D DE CONNAISSANCES POUR L'ACCES INTELLIGENT AUX CONTENUS VISUELS ENRICHIS     Soutenue le 18 Juin 2013 à Paris                              devant le jury composé de :   Président de jury: Madame le Maître de Conférences, HDR Catherine ACHARD Rapporteur:  Monsieur le Professeur Marc ANTONINI Rapporteur:  Monsieur le Professeur Constantin VERTAN Examinateur:  Monsieur le Professeur Miroslaw BOBER  Examinateur:  Monsieur le Docteur Olivier MARTINOT Directeur de thèse:  Monsieur le Professeur Titus ZAHARIA    Thèse n°: 2013TELE0012      THESE DE DOCTORAT CONJOINT TELECOM SUDPARIS et L'UNIVERSITE PIERRE ET MARIE CURIE"

 33919313bb3cf09b00f9fa2253b30af33a52bc51,Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs,"Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
 Anton Osokin∗,1 Jean-Baptiste Alayrac∗,1
@@ -16834,13 +14464,6 @@ vertising or promotional purposes or for creating new collec-
 tive works for resale or redistribution to servers or lists, or to
 reuse any copyrighted component of this work in other works
 must be obtained from the IEEE."

-3316521a5527c7700af8ae6aef32a79a8b83672c,People-tracking-by-detection and people-detection-by-tracking,"People-Tracking-by-Detection and People-Detection-by-Tracking
-Mykhaylo Andriluka
-Stefan Roth
-Bernt Schiele
-Computer Science Department
-TU Darmstadt, Germany
-{andriluka, sroth,"

 33ef644ef5085237b4f529251d6c895d32d6052f,TasselNet: counting maize tassels in the wild via local counts regression network,"Lu et al.
 RESEARCH ARTICLES
 TasselNet: Counting maize tassels in the wild via
@@ -16883,12 +14506,6 @@ Cross Modal Matching
 Alexis Mignon and Fr´ed´eric Jurie
 GREYC, CNRS UMR 6072, Universit´e de Caen Basse-Normandie, France
 first name.last"

-333e7ad7f915d8ee3bb43a93ea167d6026aa3c22,3D Assisted Face Recognition: Dealing With Expression Variations,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
-The final version of record is available at http://dx.doi.org/10.1109/TIFS.2014.2309851
-DRAFT
-D Assisted Face Recognition: Dealing With
-Expression Variations
-Nesli Erdogmus, Member, IEEE, Jean-Luc Dugelay, Fellow Member, IEEE"

 33ea400ca2105b9a3cd0e3c7c147e06c2d3c6d79,Vision based Decision-Support and Safety Systems for Robotic Surgery,"Vision based Decision-Support and Safety Systems for
 Robotic Surgery
 Suren Kumar
@@ -16904,12 +14521,6 @@ Pankaj Singhal
 Director of Robotic Surgery
 Jason J. Corso
 Assistant Professor"

-33e4844a95bc2df4619e6d43bd009b24a20fb79a,Automatic Face Detection Using Color Based Segmentation and Computing Eigen face,"International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463
-Vol. 2 Issue 10, October-2013, pp: (97-105), Available online at: www.erpublications.com
-Automatic Face Detection Using Color Based
-Segmentation and Computing Eigen face
-Surya Prakash Ahirwar1, Dr. Shailja Shukla2
-Department of Electrical Engineering, Jabalpur Engineering College, India"

 33c485b59249af2d763d6951cd11e4080f3bbb3d,Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation,"Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation
 Bugra Tekin
 Pablo M´arquez-Neila
@@ -16919,21 +14530,12 @@ EPFL, Switzerland"
 336fe31c25c9128f43f2dfe454041e7c608557d1,H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis.,"H-CNN: Spatial Hashing Based CNN for 3D
 Shape Analysis
 Tianjia Shao, Yin Yang, Yanlin Weng, Qiming Hou, Kun Zhou"

-3326838b53788bdb79d3b37b3ddad6a619ce53b1,Recent Advances in the Automatic Recognition of Audio-Visual Speech,"Article appears in: Proceedings of the IEEE, vol. 91, no. 9, September 2003
-Recent Advances in the Automatic Recognition of
-Audio-Visual Speech
-Gerasimos Potamianos, Member, IEEE, Chalapathy Neti, Member, IEEE, Guillaume Gravier,
-Ashutosh Garg, Student Member, IEEE, and Andrew W. Senior, Senior Member, IEEE
-(Invited Paper)"

 3333b35ddb698be76dd27bffad131c1daa694bf2,Comparing Robustness of Two-Dimensional PCA and Eigenfaces for Face Recognition,"Comparing Robustness of Two-Dimensional
 PCA and Eigenfaces for Face Recognition
 Muriel Visani, Christophe Garcia, and Christophe Laurent
 France Telecom R&D - DIH/HDM
 , rue du Clos Courtel
 5512 Cesson-S´evign´e Cedex - France"

-3352426a67eabe3516812cb66a77aeb8b4df4d1b,Joint Multi-view Face Alignment in the Wild,"JOURNAL OF LATEX CLASS FILES, VOL. 4, NO. 5, APRIL 2015
-Joint Multi-view Face Alignment in the Wild
-Jiankang Deng, Student Member, IEEE, George Trigeorgis, Yuxiang Zhou, and Stefanos Zafeiriou, Member, IEEE"

 33695e0779e67c7722449e9a3e2e55fde64cfd99,Riemannian coding and dictionary learning: Kernels to the rescue,"Riemannian Coding and Dictionary Learning: Kernels to the Rescue
 Mehrtash Harandi, Mathieu Salzmann
 Australian National University & NICTA
@@ -16971,13 +14573,6 @@ Laurence Conty
 nd High-Level Vision using Diverse Datasets and Limited Memory
 Iasonas Kokkinos
 CentraleSup´elec - INRIA"

-33a4744818b2847d7d3650bd547932cdcddc2f04,Sparse Polynomial Mapping for Manifold Learning,"International Journal of Signal Processing, Image Processing and Pattern Recognition
-Vol. 7, No. 6 (2014), pp. 335-344
-http://dx.doi.org/10.14257/ijsip.2014.7.6.29
-Sparse Polynomial Mapping for Manifold Learning
-Ying Xia*, Qiang Lu and Hae-Young Bae
-Research Center of Spatial Information System, Chongqing University of Posts and
-Telecommunications, Chongqing 400065, China"

 330a34b8dfb3f6adaf6401c3ececf9f4127505a0,Feature selection for pose invariant lip biometrics,"INTERSPEECH 2010
 Feature Selection for Pose Invariant Lip Biometrics
 Adrian Pass, Jianguo Zhang, Darryl Stewart
@@ -16988,13 +14583,6 @@ Belfast BT7 1NN, UK
 330dda431e0343a96f9d630a0b4ee526bd93ad11,Domain Adaptation for Visual Applications: A Comprehensive Survey,"Domain Adaptation for Visual Applications: A Comprehensive
 Survey
 Gabriela Csurka"

-334166a942acb15ccc4517cefde751a381512605,Facial Expression Analysis using Deep Learning,"International Research Journal of Engineering and Technology (IRJET)       e-ISSN: 2395-0056
-Volume: 04 Issue: 10 | Oct -2017                     www.irjet.net                                                                 p-ISSN: 2395-0072
-Facial Expression Analysis using Deep Learning
-Hemanth Singh1, Raman Patel2
-,2 M.Tech Student, SSG Engineering College, Odisha, India
----------------------------------------------------------------------***---------------------------------------------------------------------
-examination structures need to analyse the facial exercises"

 3369692338841f14ce032fc5d0b5b4fe7cc79f1a,Visualising mental representations : A primer on noise-based reverse correlation in social psychology,"European Review of Social Psychology
 ISSN: 1046-3283 (Print) 1479-277X (Online) Journal homepage: http://www.tandfonline.com/loi/pers20
 Visualising mental representations: A primer
@@ -17020,13 +14608,6 @@ Illumination for Human Computer Interaction Aplications
 S L Happy, Anirban Dasgupta, Anjith George, and Aurobinda Routray
 Department of Electrical Engineering
 Indian Institute of Technology Kharagpur"

-33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,"FULL PAPER
-International Journal of Recent Trends in Engineering, Vol 2, No. 1, November 2009
-An Efficient Approach to Facial Feature Detection
-for Expression Recognition
-S.P. Khandait1, P.D. Khandait2 and Dr.R.C.Thool2
-Deptt. of Info.Tech., K.D.K.C.E., Nagpur, India
-2Deptt.of Electronics Engg., K.D.K.C.E., Nagpur, India, 2Deptt. of Info.Tech., SGGSIET, Nanded"

 33e7bc26047de3c1b607f04a644c2c03920201fd,Learning to Navigate Autonomously in Outdoor Environments : MAVNet,"Learning to Navigate Autonomously in Outdoor Environments :
 MAVNet
 Saumya Kumaar2, Arpit Sangotra3, Sudakshin Kumar3, Mayank Gupta3, Navaneethkrishnan B2 and S N Omkar1"

@@ -17048,12 +14629,6 @@ The Faces of Engagement: Automatic
 Recognition of Student Engagement from Facial
 Expressions
 Jacob Whitehill, Zewelanji Serpell, Yi-Ching Lin, Aysha Foster, and Javier R. Movellan"

-333aa36e80f1a7fa29cf069d81d4d2e12679bc67,Suggesting Sounds for Images from Video Collections,"Suggesting Sounds for Images
-from Video Collections
-Matthias Sol`er1, Jean-Charles Bazin2, Oliver Wang2, Andreas Krause1 and
-Alexander Sorkine-Hornung2
-Computer Science Department, ETH Z¨urich, Switzerland
-Disney Research, Switzerland"

 33691b7e8c980ea2dea5b5d3d7bee661e9623715,Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM,"Probabilistic Semi-Dense Mapping from Highly
 Accurate Feature-Based Monocular SLAM
 Ra´ul Mur-Artal and Juan D. Tard´os
@@ -17100,13 +14675,6 @@ Berlin 2007"
 33a9076d5d48208960feebff9d5efdaa2203f872,Face De-Identification,"Face De-identification
 Ralph Gross, Latanya Sweeney, Jeffrey Cohn, Fernando de la Torre
 nd Simon Baker"

-336b2ae3e4db996538f930b754f7d233af56a628,Learning local descriptors by optimizing the keypoint-correspondence criterion,"Learning Local Descriptors by Optimizing the
-Keypoint-Correspondence Criterion: Applications to
-Face Matching, Learning from Unlabeled Videos
-nd 3D-Shape Retrieval
-Nenad Markuˇs†, Igor S. Pandˇzi´c†, and J¨orgen Ahlberg‡
-University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
-Computer Vision Laboratory, Dept. of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden"

 33ae696546eed070717192d393f75a1583cd8e2c,Subspace selection to suppress confounding source domain information in AAM transfer learning,

 8d9067da4ba5c57643ee7a84cd5c5d5674384937,Sorting out Lipschitz function approximation,"SORTING OUT LIPSCHITZ FUNCTION APPROXIMATION
 Cem Anil ∗
@@ -17131,24 +14699,12 @@ Austin, TX 78701"
 8d384e8c45a429f5c5f6628e8ba0d73c60a51a89,Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection,"Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
 Yuan Yuan1 Xiaodan Liang2 Xiaolong Wang2 Dit-Yan Yeung1 Abhinav Gupta2
 The Hong Kong University of Science and Technology 2 Carneige Mellon University"

-8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,"Proceedings of the 2013 International Conference on Information, Operations Management and Statistics (ICIOMS2013),
-Kuala Lumpur, Malaysia, September 1-3, 2013
-A Hybrid Approach to Content-based Image Retrieval
-Smarajit Bosea, Amita Pala*, Jhimli Mallickb , Sunil Kumarc
-Applied Statistics Division, Indian Statistical Institute, Kolkata, India
-TechBLA Solutions, Kolkata, India
-ETH, Zurich, Switzerland"

 8d44861cfcb5159e0a1afb9d50f3d2c6083f605a,3 D SUPER-RESOLUTION APPROACH FOR SPARSE LASER SCANNER DATA,"D SUPER-RESOLUTION APPROACH FOR SPARSE LASER SCANNER DATA
 S. Hosseinyalamdarya∗, A. Yilmaza
 Photogrammetric Computer Vision (PCV) Lab
 070 Neil avenue, Columbus, OH 43212,
 Commission VI, WG VI/4
 KEY WORDS: 3D Super-resolution, Geometric Surface Reconstruction, Diffusion Equations, isotropic and anisotropic"

-8d19cfe643582fae03ce024efaf117d1efef5e58,A Robust Likelihood Function for 3D Human Pose Tracking,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
-The final version of record is available at http://dx.doi.org/10.1109/TIP.2014.2364113
-A Robust Likelihood Function for 3D Human Pose
-Tracking
-Weichen Zhang, Student Member, IEEE, Lifeng Shang, Member, IEEE, Antoni B. Chan, Member, IEEE,"

 8de2dbe2b03be8a99628ffa000ac78f8b66a1028,Action Recognition in Videos,"´Ecole Nationale Sup´erieure dInformatique et de Math´ematiques Appliqu´ees de Grenoble
 INP Grenoble – ENSIMAG
 UFR Informatique et Math´ematiques Appliqu´ees de Grenoble
@@ -17181,42 +14737,6 @@ Received: 30 September 2008 / Accepted: 14 September 2009 / Published online: 25
 8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc,SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis,"SchiNet: Automatic Estimation of Symptoms of
 Schizophrenia from Facial Behaviour Analysis
 Mina Bishay, Petar Palasek, Stefan Priebe, and Ioannis Patras"

-8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd,Subspace Clustering via Optimal Direction Search,"Subspace Clustering via Optimal Direction Search
-Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE"

-8d646ac6e5473398d668c1e35e3daa964d9eb0f6,Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment.,"MEMORY-EFFICIENT GLOBAL REFINEMENT OF DECISION-TREE ENSEMBLES AND
-ITS APPLICATION TO FACE ALIGNMENT
-Nenad Markuˇs†
-Ivan Gogi´c†
-Igor S. Pandˇzi´c†
-J¨orgen Ahlberg‡
-University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
-Computer Vision Laboratory, Dept. of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden"

-8d156f3b4f1ad5d041ae9f50a0b879e25c80749e,THE HIT OR MISS COUNT OF PROBE IMAGES FOR TEN TIMES S,"International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June 2013
-ISSN 2229-5518
-A New Approach for Face Recognition and Age
-Classification using LDP
-M Rama Bai
-Professor, Dept of CSE, M.G.I.T, JNTUH, Hyderabad, Andhra Pradesh, INDIA"

-8dbbaacb2585c9f06306601a81eef2c53e565ad1,Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives,"NEUROINFORMATICS
-METHODS ARTICLE
-published: 23 April 2012
-doi: 10.3389/fninf.2012.00011
-Visual systems for interactive exploration and mining of
-large-scale neuroimaging data archives
-Ian Bowman, Shantanu H. Joshi and John D. Van Horn*
-Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
-Edited by:
-Ulla Ruotsalainen, Tampere University
-of Technology, Finland
-Reviewed by:
-Stephen C. Strother, University of
-Toronto, Canada
-Chung-Chuan Lo, National Tsing Hua
-University, Taiwan
-*Correspondence:
-John D. Van Horn, Laboratory of
-Neuro Imaging, Department of
-Neurology, David Geffen School of"

 8d3fbdb9783716c1832a0b7ab1da6390c2869c14,Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition,"Discriminant Subspace Analysis for Uncertain
 Situation in Facial Recognition
 Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz and Tony Jan
@@ -17261,27 +14781,9 @@ will help to push the frontiers of 3D face recognition.
 Three dimensional face recognition is an active research
 topic in biometrics [2, 3]. While 2D pictures can be cap-
 tured quickly, non-intrusively, and easily by widely avail-"

-8de7c496c1dac3be5fa55de72867325153b119bd,Robust Face Recognition using Key-point Descriptors,"Robust Face Recognition using Key-point Descriptors
-Soeren Klemm, Yasmina Andreu, Pedro Henriquez and Bogdan J. Matuszewski
-Robotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences,
-University of Central Lancashire, Preston, U.K.
-Keywords:
-Face Recognition, SIFT, SURF, ORB, Feature Matching, Face Occlusions."

 8db43d306a70e23e2a0e6eb2fda60f14b73f65d0,Multi-Commodity Network Flow for Tracking Multiple People,"Multi-Commodity Network Flow
 for Tracking Multiple People
 Horesh Ben Shitrit, J´erˆome Berclaz, Franc¸ois Fleuret, and Pascal Fua, Fellow, IEEE"

-8dfdfcc3f34263779871d023fad973f4a1966ec0,Internet of vehicles in big data era,"Internet of Vehicles in Big Data Era
-Wenchao Xu, Haibo Zhou, Member, IEEE, Nan Cheng, Member, IEEE, Feng Lyu, Weisen Shi, Jiayin Chen,
-Xuemin (Sherman) Shen, Fellow, IEEE"

-8d5998cd984e7cce307da7d46f155f9db99c6590,ChaLearn looking at people: A review of events and resources,"ChaLearn Looking at People:
-A Review of Events and Resources
-Sergio Escalera1,2, Xavier Bar´o2,3, Hugo Jair Escalante4,5, Isabelle Guyon4,6,
-Dept. Mathematics and Computer Science, UB, Spain,
-Computer Vision Center, UAB, Barcelona, Spain,
-EIMT, Open University of Catalonia, Barcelona, Spain,
-ChaLearn, California, USA, 5 INAOE, Puebla, Mexico,
-6 Universit´e Paris-Saclay, Paris, France,
-http://chalearnlap.cvc.uab.es"

 8d2459ada191d496eeee70f1e817d0ba92075160,The evaluation of different approaches towards using Kinect sensor as a Laser scanner,"The evaluation of different approaches towards using
 Kinect sensor as a Laser scanner
 Bachelor of Science Thesis Software Engineering and Management
@@ -17321,11 +14823,6 @@ Laure"
 Event-based Dynamic Face Detection and
 Tracking Based on Activity
 Gregor Lenz, Sio-Hoi Ieng and Ryad Benosman"

-8d8461ed57b81e05cc46be8e83260cd68a2ebb4d,Age identification of Facial Images using Neural Network,"Age identification of Facial Images using Neural
-Network
-Sneha Thakur, Ligendra Verma
-CSE Department,CSVTU
-RIT, Raipur, Chhattisgarh , INDIA"

 8d97e0102b5d89c62e5c6697eeaaefc82b36c809,Bottom-up attention orienting in young children with autism.,"J Autism Dev Disord (2014) 44:664–673
 DOI 10.1007/s10803-013-1925-5
 O R I G I N A L P A P E R
@@ -17354,33 +14851,11 @@ tasks. [1].
 We  trained  our  classifier  on  three  databases:  the
 Cohn-Kanade Extended Database (CK+) [2], the Japanese
 Female  Facial Expression  Database (JAFFE) [3], and the"

-8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,"VDSA: VISUALLY-DRIVEN SEMANTIC AUGMENTATION FOR ZSL
-Visually-Driven Semantic Augmentation for
-Zero-Shot Learning
-Abhinaba Roy1,2
-Jacopo Cavazza1
-Vittorio Murino1,3
-Pattern Analysis and Computer Vision
-Istituto Italiano di Tecnologia
-Genova, Italy
-Department of Naval, Electrical,
-Electronic and Telecommunications
-Engineering
-University of Genova, Italy
-Department of Computer Science
-University of Verona, Italy"

 8d8afef13a8f6195d3b874231e5e767cf62f3c50,Deep Ranking for Person Re-Identification via Joint Representation Learning,"Deep Ranking for Person Re-identification via
 Joint Representation Learning
 Shi-Zhe Chen, Chun-Chao Guo, Student Member, IEEE, and Jian-Huang Lai, Senior Member, IEEE"

 8d1adf0ac74e901a94f05eca2f684528129a630a,Facial Expression Recognition Using Facial Movement Features,"Facial Expression Recognition Using Facial
 Movement Features"

-8de065f412a7d739dff40044212c8506b5c52bf7,Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields,"Multi-Person Pose Estimation for PoseTrack with
-Enhanced Part Affinity Fields
-Xiangyu Zhu, Yingying Jiang, and Zhenbo Luo
-Machine Learning Lab
-Samsung R&D Institute of China, Beijing
-Beijing, China
-{xiangyu.zhu, yy.jiang}"

 8df3bef321cd1b259cf6fb1ef264a2e885610044,Interactively Learning Visually Grounded Word Meanings from a Human Tutor,"Proceedings of the 5th Workshop on Vision and Language, pages 48–53,
 Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

 8d7a55d184659ac97d02061a660ae4e30604185b,Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation,"Penalizing Top Performers: Conservative Loss
@@ -17394,15 +14869,6 @@ Francesco Puja, Simone Grazioso, Antonio Tammaro, Valsmis Ntouskos, Marta Sanzar
 Speed, Flexibility, and Quality in Neural Style Transfer
 Chi Zhang and Yixin Zhu and Song-Chun Zhu
 International Center for AI and Robot Autonomy (CARA)"

-4a64b020c72db15a729939a2c041ef4f5830f0f7,Challenges of Ground Truth Evaluation of Multi-target Tracking,"Challenges of Ground Truth Evaluation of Multi-Target Tracking
-Anton Milan1
-Konrad Schindler2
-Stefan Roth1
-Department of Computer Science, TU Darmstadt
-Photogrammetry and Remote Sensing Group, ETH Z¨urich"

-4a0f98d7dbc31497106d4f652968c708f7da6692,Real-time eye gaze direction classification using convolutional neural network,"Real-time Eye Gaze Direction Classification Using
-Convolutional Neural Network
-Anjith George, Member, IEEE, and Aurobinda Routray, Member, IEEE"

 4a303369828d9334022a0f5e8ad2b1a715d1c0c9,Deep Metric Learning by Online Soft Mining and Class-Aware Attention,"Deep Metric Learning by Online Soft Mining and Class-Aware Attention
 Xinshao Wang1,2, Yang Hua1,2, Elyor Kodirov2, Guosheng Hu1,2, Neil M. Robertson1,2
 School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK
@@ -17482,29 +14948,6 @@ Alexander Kolesnikov 1 Christoph H. Lampert 1"
 using Hand-Centric Features and Script Data
 Marcus Rohrbach · Anna Rohrbach · Michaela Regneri ·
 Sikandar Amin · Mykhaylo Andriluka · Manfred Pinkal · Bernt Schiele"

-4a19f6545473363b16d4a10ed13fef29b38856d3,What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection,"What is a salient object? A dataset and
-baseline model for salient object detection
-Ali Borji, Member, IEEE"

-4af997701ce14ba689f7f964a72bcae0a2432435,The role of gaze direction in face memory in autism spectrum disorder.,"RESEARCH ARTICLE
-The Role of Gaze Direction in Face Memory in Autism
-Spectrum Disorder
-Safa R. Zaki and Shannon A. Johnson
-We tested the hypothesis that the direction of gaze of target faces may play a role in reported face recognition deficits
-in those with an autism spectrum disorder (ASD). In previous studies, typically developing children and adults better
-remembered faces in which the eyes were gazing directly at them compared with faces in which the eyes were averted.
-In the current study, high-functioning children and adolescents with an ASD and age- and IQ-matched typically
-developing controls were shown a series of pictures of faces in a study phase. These pictures were of individuals whose
-gaze was either directed straight ahead or whose gaze was averted to one side. We tested the memory for these study faces
-in a recognition task in which the faces were shown with their eyes closed. The typically developing group better
-remembered the direct-gaze faces, whereas the ASD participants did not show this effect. These results imply that there
-may be an important link between gaze direction and face recognition abilities in ASD. Autism Res 2013, (cid:129)(cid:129): (cid:129)(cid:129)–(cid:129)(cid:129).
-© 2013 International Society for Autism Research, Wiley Periodicals, Inc.
-Keywords: autism spectrum disorder; face recognition; eye-contact; face-processing; gaze
-Face processing is a pivotal component of human
-ommunication and interaction. There is evidence that
-people with an autism spectrum disorder (ASD), a disor-
-der characterized by impairments in social interaction
-nd communication as well as restricted range of interests"

 4af25075729aa4d0fa4ecf6c948f59ec15bf9565,Analysis and Evaluation of Alternatives and Advanced Solutions for System Elements Contractual Document Evolution Executive Summary,"Project N° IST-2002-507634 - BioSecure
 D 9.1.2 - Revision: b3
 4 June 2005
@@ -17574,23 +15017,6 @@ institutional repository. Authors requiring further information
 regarding Elsevier’s archiving and manuscript policies are
 encouraged to visit:
 http://www.elsevier.com/copyright"

-4ac4b0a2d06ff5df1cc4941f8ae47843b4593bba,American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence,"American Sign Language fingerspelling recognition
-from video: Methods for unrestricted recognition
-nd signer-independence
-Taehwan Kim
-A thesis submitted
-in partial fulfillment of the requirements for
-the degree of
-Doctor of Philosophy in Computer Science
-t the
-Toyota Technological Institute at Chicago
-Chicago, Illionois
-August 2016
-Thesis Committee:
-Vassilis Athitsos
-Karen Livescu (Thesis Advisor)
-Greg Shakhnarovich
-Yisong Yue"

 4ac3cd8b6c50f7a26f27eefc64855134932b39be,Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network,"Robust Facial Landmark Detection
 via a Fully-Convolutional Local-Global Context Network
 Daniel Merget
@@ -17731,18 +15157,6 @@ Application to Facial Expression
 Recognition
 Dissertation
 Matthias Wimmer"

-4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4,Multiple-shot People Re-identify based on Feature Selection with Sparsity,"International Journal of Hybrid Information Technology
-Vol.8, No.1 (2015), pp.27-34
-http://dx.doi.org/10.14257/ijhit.2015.8.1.03
-Multiple-shot People Re-identify based on Feature Selection with
-Sparsity
-Dongping Zhang, Yanjie Li, Jiao Xu and Ye Shen
-College of Information Engineering, China Jiliang University, Hangzhou 310018,
-China"

-4abaebe5137d40c9fcb72711cdefdf13d9fc3e62,Dimension Reduction for Regression with Bottleneck Neural Networks,"Dimension Reduction for Regression
-with Bottleneck Neural Networks
-Elina Parviainen
-BECS, Aalto University School of Science and Technology, Finland"

 4aa18f3a1c85f7a09d3b0d6b28c0339199892d60,The Application of Neural Networks for Facial Landmarking on Mobile Devices,

 4a45b8f8decc178305af06d758ac7428a9070fad,Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data,"Augmented CycleGAN: Learning Many-to-Many Mappings
 from Unpaired Data
@@ -17912,17 +15326,6 @@ Mohsen Hejrati
 UC Irvine
 Deva Ramanan
 UC Irvine"

-1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,"IJARCCE
-ISSN (Online) 2278-1021
-ISSN (Print) 2319 5940
-International Journal of Advanced Research in Computer and Communication Engineering
-Vol. 4, Issue 11, November 2015
-Accurate Object Detection and Semantic
-Segmentation using Gaussian Mixture Model and
-Sakshi Jain1, Satish Dehriya2, Yogendra Kumar Jain3
-Research Scholar, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India1
-Assist. Professor, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India 2
-Head of the Department, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India3"

 1b457646a300c744bf098f0bfde641042602262a,Holistic and Gabor-local Feature-fusion for Face Recognition using Canonical Correlation Analysis ( CCA ),"Holistic and Gabor-local Feature-fusion for Face Recognition
 using Canonical Correlation Analysis (CCA)
 Hendra Kusuma1), Wirawan2), Adi Soeprijanto3)
@@ -18109,17 +15512,6 @@ IBM China Research Lab, PRC
 fminliml,baoshhua,qianwh,
 Nalini K. Ratha
 IBM Watson Research Center, USA"

-1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
-International Conference on Industrial Automation and Computing (ICIAC- 12-13th April 2014)
-RESEARCH ARTICLE
-OPEN ACCESS
-An Approach to Analyse Facial Expression from Videos using
-Pyramid Histogram of Orientation Gradients
-Ashish D. Lonare1, Shweta V. Jain2
-Department of Computer Science and Engineering,  Shri Ramdeobaba College of Engineering and
-Management Nagpur, India
-Department of Computer Science and Engineering,  Shri Ramdeobaba College of Engineering and
-Management Nagpur, India"

 1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3,ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES,"ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF
 DECISION TREES
 V. V. Khryashchev a, *, A. A. Lebedev a, A. L. Priorov a
@@ -18159,11 +15551,6 @@ Farzaneh Mahdisoltani1,2, Guillaume Berger2, Waseem Gharbieh2
 David Fleet1, Roland Memisevic2
 {farzaneh,
 University of Toronto1, Twenty Billion Neurons2"

-1b71e4b59358ed7ecf6117e19fc944307e58a7af,3 D Spectral Nonrigid Registration of Facial Expression Scans,"IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
-D Spectral Nonrigid Registration of
-Facial Expression Scans
-Gabriel L. Cuendet, Student member, IEEE, Christophe Ecabert, Marina Zimmermann, Student
-member, IEEE, Hazım K. Ekenel, and Jean-Philippe Thiran, Senior Member, IEEE"

 1b3505018e39a794eab032e7e313784b21be42e9,Saliency based Person Re-Identification in Video using Colour Features,"GRD Journals- Global Research and Development Journal for Engineering | Volume 1 | Issue 10 | September 2016
 ISSN: 2455-5703
 Saliency based Person Re-Identification in Video
@@ -18193,12 +15580,6 @@ Face Detection Evaluation: A New Approach Based on
 the Golden Ratio (cid:8)
 M. Hassaballah (cid:1) Kenji Murakami (cid:1) Shun Ido
 Received: 1 Jan. 2011 /Revised: 9 March 2011/ Accepted: date"

-1bbd83aeccae06f7d1b048f12566943ac824a490,Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection,"Low-level Multimodal Integration on Riemannian
-Manifolds for Automatic Pedestrian Detection
-Marco San-Biagio∗, Marco Crocco∗, Marco Cristani∗†, Samuele Martelli∗ and Vittorio Murino∗
-Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova - Italy
-Dipartimento di Informatica, University of Verona, Verona - Italy
-Email: and"

 1b7b95ee13d91e9c768de6417a8919f2a3384599,A Probabilistic U-Net for Segmentation of Ambiguous Images,"A Probabilistic U-Net for Segmentation of Ambiguous
 Images
 Simon A. A. Kohl1∗,2,, Bernardino Romera-Paredes1, Clemens Meyer1, Jeffrey De Fauw1,
@@ -18273,26 +15654,6 @@ DOI: 10.5829/idosi.mejsr.2014.20.01.11434
 A Comparative Analysis of Gender Classification Techniques
 Sajid Ali Khan, Maqsood Ahmad, Muhammad Nazir and Naveed Riaz
 Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan"

-d493288998422ee30fe67370497a8a35108f81e7,"Key words- Face Detection, Eigenface, Feature","Shishir Kumar et. al. / (IJCSE) International Journal on Computer Science and Engineering
-Vol. 02, No. 03, 2010, 889-894
-Architecture for Mobile based Face Detection / Recognition
-Shishir Kumar, Priyank Singh, Vivek Kumar
-Department of CSE, Jaypee Institute of Engineering & Technology
-Guna, India
-transferring an image from the client side to the server
-side.
-The client-server architecture can be implemented in
-two ways:
-)  Client-Server architecture using Bluetooth.
-)  Client-Server
-protocol.
-rchitecture
-using  HTTP
-rates
-recognition  and
-detection framework
-Each  of  the  two  approaches  has  its  advantages  and
-disadvantages,  usage  area  and  is  complementary  to"

 d4ced2086ccd9259ade8fabdba14e0e4d9fc0c40,A Mobile Imaging System for Medical Diagnostics,"A Mobile Imaging System for Medical
 Diagnostics
 Sami Varjo and Jari Hannuksela
@@ -18303,11 +15664,6 @@ d48bd355d091e7ae75ade4e878fe346741e7da1a,Can You Spot the Semantic Predicate in
 Christopher Reale, Claire Bonial, Heesung Kwon and Clare R. Voss
 U.S. Army Research Lab, Adelphi, Maryland 20783
 {claire.n.bonial.civ, heesung.kwon.civ,"

-d40c4e370d35264e324e4e3d5df59e51518c9979,A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering,"A Transfer Learning based Feature-Weak-Relevant Method for
-Image Clustering
-Bo Dong, Xinnian Wang
-Dalian Maritime University
-Dalian, China"

 d41c11ebcb06c82b7055e2964914b9af417abfb2,CDI-Type I : Unsupervised and Weakly-Supervised Discovery of Facial Events 1,"CDI-Type I: Unsupervised and Weakly-Supervised
 Introduction
 Discovery of Facial Events
@@ -18328,11 +15684,6 @@ expression recognition and analysis is slowed. For the most detailed and compreh
 systems, such as Facial Action Coding System (FACS), three to four months is typically required to train
 coder (’coding’ refers to the labeling of video using behavioral descriptors). Once trained, each minute
 of video may require 1 hour or more to code [9]. No wonder relatively few databases are yet available,"

-d40bd8d44fe78952769a9bb04fe74ce38ef07534,Locally Adaptive Learning Loss for Semantic Image Segmentation,"Locally Adaptive Learning Loss for Semantic Image Segmentation
-Jinjiang Guo1,2, Pengyuan Ren1, Aiguo Gu1, Jian Xu1, Weixin Wu1
-Beijing NetPosa Technologies Co., Ltd. Beijing, China
-Institut National des Sciences Appliqu´ees de Lyon, Lyon, France
-{renpengyuan, guaiguo, xujian,"

 d42142285c46207a16bd4294e437d504e419a9b7,Varying image description tasks : spoken versus written descriptions,"Varying image description tasks: spoken versus written descriptions
 Emiel van Miltenburg
 Vrije Universiteit Amsterdam
@@ -18340,14 +15691,6 @@ Ruud Koolen
 Tilburg University
 Emiel Krahmer
 Tilburg University"

-d4885ca24189b4414031ca048a8b7eb2c9ac646c,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender
-nd Identity Recognition in Organizing Photo
-Albums using Multi-output CNN
-Andrey V. Savchenko
-Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of
-Mathematics
-National Research University Higher School of Economics
-Nizhny Novgorod, Russia"

 d44ca9e7690b88e813021e67b855d871cdb5022f,"Selecting, Optimizing and Fusing `Salient' Gabor Features for Facial Expression Recognition","QUT Digital Repository:
 http://eprints.qut.edu.au/
 Zhang, Ligang and Tjondronegoro, Dian W. (2009) Selecting, optimizing and
@@ -18375,14 +15718,6 @@ Ki-Young Moon
 Information Security
 Research Division, ETRI
 S. Korea"

-d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,"A Lightened CNN for Deep Face Representation
-Xiang Wu
-School of Computer and Communication Engineering
-University of Science and Technology Beijing, Beijing, China
-Ran He, Zhenan Sun
-National Laboratory of Pattern Recognition
-Institute of Automation Chinese Academy of Sciences, Beijing, China
-{rhe,"

 d497b9e50dc2aacfb1693ca4de6ebf904404d98d,Patch Based Approaches for the Recognition of Visual Object Classes - A Survey,"ALBERT-LUDWIGS-UNIVERSIT ¨AT FREIBURG
 INSTITUT F ¨UR INFORMATIK
 Lehrstuhl f¨ur Mustererkennung und Bildverarbeitung
@@ -18393,41 +15728,6 @@ Alexandra Teynor
 November, 2006"

 d444368421f456baf8c3cb089244e017f8d32c41,CNN for IMU assisted odometry estimation using velodyne LiDAR,"CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
 Martin Velas, Michal Spanel, Michal Hradis, and Adam Herout"

-d4c657ce3b7e47237201393aa6bba0e19442bfd2,Interpolation Based Tracking for Fast Object Detection in Videos,"Interpolation Based Tracking for Fast Object
-Detection In Videos
-Rahul Jain, Pramod Sankar K.*, C. V. Jawahar
-Center for Visual Information Technology
-pramod
-IIIT-Hyderabad, INDIA"

-d45dc3546702db7fcef8d4863db319ca84cc8d3d,How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs,"How emotional are you? Neural Architectures for Emotion Intensity
-Prediction in Microblogs
-Devang Kulshreshtha∗, Pranav Goel∗, and Anil Kumar Singh
-Indian Institute of Technology (Banaras Hindu University) Varanasi
-{devang.kulshreshtha.cse14, pranav.goel.cse14,
-Varanasi, Uttar Pradesh, India"

-d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,"JOURNAL OF MEDICAL INTERNET RESEARCH
-Balsari et al
-Policy Proposal
-Reimagining Health Data Exchange: An Application Programming
-Interface–Enabled Roadmap for India
-Satchit  Balsari1,2,  MD,  MPH;  Alexander  Fortenko3,  MD,  MPH;  Joaquín  A  Blaya4,  PhD;  Adrian  Gropper5,  MD;
-Malavika Jayaram6, LLM; Rahul Matthan7, LLM; Ram Sahasranam8; Mark Shankar9, MD; Suptendra N Sarbadhikari10,
-PhD; Barbara E Bierer11, MD; Kenneth D Mandl12,13, MD; Sanjay Mehendale14, MD, MPH; Tarun Khanna9, PhD
-Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Emergency Medicine, Boston, MA, United States
-Harvard FXB Center for Health and Human Rights, Boston, MA, United States
-NewYork-Presyterian Hospital, Emergency Medicine, New York, NY, United States
-The Human Diagnosis Project, Washington DC, DC, United States
-5Patient Privacy Rights, Boston, MA, United States
-6Digital Asia Hub, Hong Kong, China
-7TriLegal, Bangalore, India
-8Athenahealth, San Francisco, CA, United States
-9Harvard Business School, Boston, MA, United States
-0International Institute of Health Management Research, New Delhi, India
-1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
-2Boston Children's Hospital, Computational Health Informatics Program, Boston, MA, United States"

-d497543834f23f72f4092252b613bf3adaefc606,Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,"Density-Adaptive Kernel based Re-Ranking for
-Person Re-Identification
-Ruopei Guo, Chun-Guang Li, Member, IEEE, Yonghua Li, Jiaru Lin, and Jun Guo"

 d4f8168242f688af29bcbbe1cc5aec7cd12a601c,Edinburgh Research Explorer Visually Grounded Meaning Representations,"Visually Grounded Meaning Representations
 Citation for published version:
 Silberer, C, Ferrari, V & Lapata, M 2016, 'Visually Grounded Meaning Representations' IEEE Transactions
@@ -18482,40 +15782,6 @@ proposed changes to the DSM-5 and ICD-11. Differences across development are inc
 new classification frameworks. Conclusions: It is crucial to balance the needs of clinical practice in
 ASD diagnostic systems, with neurobiologically based theories that address the associations between
 social-communication and restricted/repetitive dimensions in individuals. Clarifying terminology,"

-d47a2c0828bcfa4ebe0b7831f0b389ea385a8ce9,Local descriptors based random forests for human detection,"TAÏP CHÍ PHAÙT TRIEÅN KH&CN, TAÄP 18, SOÁ K6- 2015
-Local descriptors based random forests for
-human detection
-  Van-Dung Hoang
-Quang Binh University, Vietnam
-  My-Ha Le
-University of Technical Education Ho Chi Minh City, Vietnam
-  Hyun-Deok Kang
-Ulsan National Institute of Science and Technology, Korea
-  Kang-Hyun Jo
-University of Ulsan, Korea
-(Manuscript Received on July 15, 2015, Manuscript Revised August 30, 2015)
-local
-forest  using"

-d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,"ORIGINAL RESEARCH
-published: 10 April 2017
-doi: 10.3389/fnbot.2017.00019
-Cross-Subject EEG Feature Selection
-for Emotion Recognition Using
-Transfer Recursive Feature
-Elimination
-Zhong Yin 1*, Yongxiong Wang 1*, Li Liu 1, Wei Zhang 1 and Jianhua Zhang 2
-Shanghai Key Lab of Modern Optical System, Engineering Research Center of Optical Instrument and System, Ministry of
-Education, University of Shanghai for Science and Technology, Shanghai, China, 2 Department of Automation, East China
-University of Science and Technology, Shanghai, China
-Using machine-learning methodologies to analyze EEG signals becomes increasingly
-ttractive for recognizing human emotions because of the objectivity of physiological
-data and the capability of the learning principles on modeling emotion classifiers from
-heterogeneous features. However, the conventional subject-specific classifiers may
-induce additional burdens to each subject for preparing multiple-session EEG data
-s training sets. To this end, we developed a new EEG feature selection approach,
-transfer recursive feature elimination (T-RFE), to determine a set of the most robust EEG
-indicators with stable geometrical distribution across a group of training subjects and
-specific testing subject. A validating set is introduced to independently determine"

 d8af6a45eaea68adda8597ae65f91ece152f7b21,Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation,"Sparse and Dense Data with CNNs:
 Depth Completion and Semantic Segmentation
 Maximilian Jaritz1, 2, Raoul de Charette1, Emilie Wirbel2, Xavier Perrotton2, Fawzi Nashashibi1
@@ -18531,14 +15797,6 @@ Using  Advanced  Correlation
 Filters
 Chee  Kiat  Ng
 Advisor:  Prof.  Khosla/Reviere"

-d82b93f848d5442f82154a6011d26df8a9cd00e7,NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS,"NEURAL NETWORK BASED AGE CLASSIFICATION USING
-LINEAR WAVELET TRANSFORMS
-NITHYASHRI JAYARAMAN1 & G.KULANTHAIVEL2
-Department of Computer Science & Engineering,
-Sathyabama University Old Mamallapuram Road, Chennai, India
-Electronics Engineering, National Institute of  Technical Teachers
-Training & Research, Taramani, Chennai, India
-E-mail :"

 d850aff9d10a01ad5f1d8a1b489fbb3998d0d80e,Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter,"UNIVERSITY OF CALIFORNIA,
 IRVINE
 Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter
@@ -18552,24 +15810,6 @@ Dissertation Committee:
 Professor Charless Fowlkes, Chair
 Professor Deva Ramanan
 Professor Alexander Ihler"

-d8e061960423a17748dedbcfe4b6a6918f79c262,Fast Prototyping and Computationally Intensive Experiments,"Armadillo: An Open Source C++ Linear Algebra Library for
-Fast Prototyping and Computationally Intensive Experiments
-Conrad Sanderson
-http://conradsanderson.id.au
-Technical Report, NICTA, Australia
-http://nicta.com.au
-September 2010
-(revised December 2011)"

-d8cf6b19c75489dd7a5f4107e2e3ec494274da41,Partial Relevance in Interactive Facial Image Retrieval,"Partial Relevance in Interactive
-Facial Image Retrieval
-Zhirong Yang and Jorma Laaksonen(cid:1)
-Laboratory of Computer and Information Science,
-Helsinki University of Technology,
-P.O. Box 5400, FI-02015 HUT, Espoo, Finland
-{zhirong.yang,"

-d8d1fb804d1f4760393c6fd70c9072fa1b39f02c,An Efficient Approach to Onboard Stereo Vision System Pose Estimation,"An Efficient Approach to Onboard Stereo
-Vision System Pose Estimation
-Angel Domingo Sappa, Member, IEEE, Fadi Dornaika, Daniel Ponsa, David Gerónimo, and Antonio López"

 d8b3bebe39f5f69d68cdb5c04b44aba3f9b5ae02,Active Vision System with Human Detection Using RGB-D images and machine learning algorithms,"Active Vision System with Human Detection
 Using RGB-D images and machine learning algorithms
 Master’s thesis in Applied Physics and in Biomedical Engineering
@@ -18611,25 +15851,10 @@ d813ec3a3442f2885b76ac0133c4c5d76f9f8065,Panoptic Studio: A Massively Multiview
 for Social Interaction Capture
 Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart,
 Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh"

-d86fabd4498c8feaed80ec342d254fb877fb92f5,Region-Object Relevance-Guided Visual Relationship Detection,"Y. GOUTSU: REGION-OBJECT RELEVANCE-GUIDED VRD
-Region-Object Relevance-Guided
-Visual Relationship Detection
-Yusuke Goutsu
-National Institute of Informatics
-Tokyo, Japan"

 d88eb94d7054d2668b1a8dfa311721f37ae1f059,Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering,"Straight to the Facts: Learning Knowledge Base
 Retrieval for Factual Visual Question Answering
 Medhini Narasimhan, Alexander G. Schwing
 University of Illinois Urbana-Champaign"

-d806790866ab9bad77f60436fe77232db8e0c1ba,Deep Directional Network for Object Tracking,"Article
-Deep Directional Network for Object Tracking
-Zhaohua Hu 1,2,* and Xiaoyi Shi 1
-School of Electronic & Information Engineering, Nanjing University of Information Science & Technology,
-Nanjing 210044, China;
-Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,
-Nanjing University of Information Science & Technology, Nanjing 210044, China
-* Correspondence: Tel.: +86-025-58731196
-Received: 10 October 2018; Accepted: 1 November 2018; Published: 5 November 2018"

 d8b8e165279ca2091d5af1440ed974db4792250f,Mean Response-Time Minimization of a Soft-Cascade Detector,

 d83ae5926b05894fcda0bc89bdc621e4f21272da,Frugal Forests : Learning a Dynamic and Cost Sensitive Feature Extraction Policy for Anytime Activity Classification,"The Thesis committee for Joshua Allen Kelle certifies that this is the approved
 version of the following thesis:
@@ -18701,33 +15926,6 @@ Hui Ding1, Kumar Saketh2, and Jin Sun1
 Interactive and Analytics Lab, Palo Alto Research Center, Palo Alto, CA
 Verizon Labs, Palo Alto, CA
 August 22, 2017"

-d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,"International Journal of Computer Applications (0975 – 8887)
-Volume 121 – No.12, July 2015
-Eye-Strip based Person Identification based on
-Non-Subsampled Contourlet Transform
-Hemprasad Y. Patil
-Dept. of ECE
-Visvesvaraya National Institute
-of Technology, Nagpur, India
-Ashwin G. Kothari
-Dept. of ECE
-Visvesvaraya National Institute
-of Technology, Nagpur, India
-Kishor M. Bhurchandi
-Dept. of ECE
-Visvesvaraya National Institute
-of Technology, Nagpur, India
-transform
-sub-band"

-d8391151d6e43d8e4ea0d8206a5acb7f9be7439f,Face Fusion Recognition Based on Bit-Plane Image,"The Open Automation and Control Systems Journal, 2015, 7, 835-841
-Send Orders for Reprints to
-Open Access
-Face Fusion Recognition Based on Bit-Plane Image
-Xiaopu Ma1,*, Changwang Liu2 and Li Zhao1
-School of Computer and Information Technology, Nanyang Normal University, Wolong Road 1638, Wolong District,
-73061, Nanyang, Henan, China
-School  of  Software,  Nanyang  Normal  University,  Wolong  Road  1638,  Wolong  District,  473061,  Nanyang,  Henan,
-China"

 d8cfc7d9b13a5e1b21fc81e9f14697ac445c3698,Dynamic and Robust Object Tracking for Activity Recognition. (Suivi dynamique et robuste d'objets pour la reconnaissance d'activités),"Dynamic and Robust Object Tracking for Activity
 Recognition
 Duc Phu Chau
@@ -18872,34 +16070,11 @@ Recognition ?
 Marcelo Armengot, Francesc J. Ferri, and Wladimiro D´ıaz
 Dept. d’Inform`atica, Universitat de Val`encia
 Dr Moliner, 50 46100 Burjassot, Spain"

-5b33a220defa5362e7e1f1b664ad18e466b0515a,Pedestrian Detection for Android Mobile Devices,"017 International Conference on Computer Science and Application Engineering (CSAE 2017)
-ISBN: 978-1-60595-505-6
-Pedestrian Detection for Android Mobile Devices
-Jing Li, Fang Qu and Yingdong Ma*
-Inner Mongolia University, No.235, Daxue west road, Saihan District,
-Hohhot,Inner Mongolia Autonomous Region, China"

 5b25b9053ceafe1cf8258d8daa818a2da80c800f,Assigning affinity-preserving binary hash codes to images,"Assigning af‌f‌inity-preserving
 inary hash codes to images
 Jason Filippou
 Varun Manjunatha
 June 10, 2014"

-5bb24d1250df62a56cab1445f1d8c5c61269b785,Measuring the Temporal Behavior of Real-World Person Re-Identification,"Measuring the Temporal Behavior of Real-World
-Person Re-Identification
-Meng Zheng, Student Member, IEEE, Srikrishna Karanam, Member, IEEE,
-nd Richard J. Radke, Senior Member, IEEE"

-5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,"A short version of this paper is accepted to ACM Asia Conference on Computer and Communications Security (ASIACCS) 2018
-Detection under Privileged Information (Full Paper)∗
-Z. Berkay Celik
-Pennsylvania State University
-Patrick McDaniel
-Pennsylvania State University
-Rauf Izmailov
-Vencore Labs
-Nicolas Papernot,
-Ryan Sheatsley, Raquel Alvarez
-Pennsylvania State University
-Ananthram Swami
-Army Research Laboratory"

 5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f,Targeting Ultimate Accuracy: Face Recognition via Deep Embedding,"Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
 Jingtuo Liu     Yafeng Deng     Tao Bai     Zhengping Wei     Chang Huang
 Baidu Research – Institute of Deep Learning"

@@ -18939,14 +16114,6 @@ global face transformation may be too complex to be modeled directly, it is appr
 tions with a constraint that imposes consistency between neighboring transformations. Local transformations and neighborhood
 onstraints are embedded within a probabilistic framework using two-dimensional hidden Markov models (2D HMMs). We fur-
 ther introduce a new ef‌f‌icient technique, called turbo-HMM (T-HMM) for approximating intractable 2D HMMs. Experimental"

-5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1,Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification,"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
-Low-Rank Multi-View Learning
-in Matrix Completion for Multi-Label Image Classification
-Meng Liu†, Yong Luo†§, Dacheng Tao‡, Chao Xu†, and Yonggang Wen§
-Key Laboratory of Machine Perception (MOE), School of EECS, PKU, Beijing 100871, China
-Center for Quantum Computation and Intelligent Systems, UTS, Sydney, NSW 2007, Australia
-§Division of Networks and Distributed Systems School of Computer Engineering, NTU, 639798, Singapore
-{lemolemac,"

 5bcff482bd9652420f8f6b0e6e58ab59a562046e,Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification,"Bit-Scalable Deep Hashing with Regularized
 Similarity Learning for Image Retrieval and Person
 Re-identification
@@ -18998,10 +16165,6 @@ Gilles Celeux
 INRIA
 Co-directeur de thèse : William Triggs CNRS
 Institut National Recherche en Informatique et Automatique"

-5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,"IEEE SENSORS JOURNAL, VOL. X, NO. X, XXXXXXX 2015
-Human Gender Classification: A Review
-Yingxiao Wu, Member, IEEE, Yan Zhuang, Student Member, IEEE, Xi Long, Member, IEEE,
-Feng Lin, Member, IEEE, and Wenyao Xu, Member, IEEE"

 5bf9493564d1ed173aee4dc701d4e62d5f926fe3,Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs,"Bonnet: An Open-Source Training and Deployment Framework
 for Semantic Segmentation in Robotics using CNNs
 Andres Milioto
@@ -19053,21 +16216,6 @@ Transform and optimised feature selection using Ant
 Colony Optimisation in Support Vector Machine
 Sanjay Kumar Pal1, Uday Chourasia 2 and Manish Ahirwar3
 Department of CSE, University Institute of Technology, RGPV, Bhopal, India1,2,3"

-5b6bed112e722c0629bcce778770d1b28e42fc96,Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity,"FLOREA ET AL.:CANYOUREYESTELLMEHOWYOUTHINK?
-Can Your Eyes Tell Me How You Think? A
-Gaze Directed Estimation of the Mental
-Activity
-Laura Florea
-http://alpha.imag.pub.ro/common/staff/lflorea
-Corneliu Florea
-http://alpha.imag.pub.ro/common/staff/cflorea
-Ruxandra Vrânceanu
-Constantin Vertan
-http://alpha.imag.pub.ro/common/staff/vertan
-Image Processing and Analysis
-Laboratory, LAPI
-University “Politehnica” of Bucharest
-Bucharest, Romania"

 5b1d78b160560db5f581e65289ce5e2f99eb9b1f,Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval,"Twitter100k: A Real-world Dataset for Weakly
 Supervised Cross-Media Retrieval
 Yuting Hu, Liang Zheng, Yi Yang, and Yongfeng Huang"

@@ -19192,11 +16340,6 @@ Google Research
 Mountain View, CA"

 f5770dd225501ff3764f9023f19a76fad28127d4,Real Time Online Facial Expression Transfer with Single Video Camera,"Real Time Online Facial Expression Transfer
 with Single Video Camera"

-f59ac278349083a50871822ea08172258030265a,Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials,"Large-Scale Fiber Tracking Through Sparsely
-Sampled Image Sequences of Composite Materials
-Youjie Zhou, Student Member, IEEE, Hongkai Yu, Student Member, IEEE, Jeff Simmons, Member, IEEE,
-Craig P. Przybyla, and Song Wang, Senior Member, IEEE
-nd accurate"

 f5748711db00d82469ff60e05f62319f1eac90c5,Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset,"Comparing Apples and Oranges:
 Off-Road Pedestrian Detection on the NREC Agricultural
 Person-Detection Dataset
@@ -19249,10 +16392,6 @@ Pamela M. Pallett • Shereen J. Cohen •
 Karen R. Dobkins
 Ó Springer Science+Business Media New York 2013
 faces, yet"

-f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,"Nonparametric Scene Parsing
-via Label Transfer
-Ce Liu, Member, IEEE, Jenny Yuen, Student Member, IEEE, and
-Antonio Torralba, Member, IEEE"

 f5adb841e30eb635b91e95c03575f3b8767c9ed5,Learning Optimal Parameters For Multi-target Tracking,"WANG, FOWLKES: LEARNING MULTI-TARGET TRACKING
 Learning Optimal Parameters
 For Multi-target Tracking
@@ -19329,14 +16468,6 @@ Objects with Deep Neural Networks
 Pavel Haluza
 Supervisor: Ing. Tomáš Hodaň
 May 2017"

-f558af209dd4c48e4b2f551b01065a6435c3ef33,AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH,"International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE)
-ISSN: 0976-1353 Volume 23 Issue 1 –JUNE 2016.
-AN ENHANCED ATTRIBUTE
-RERANKING DESIGN FOR WEB IMAGE
-SEARCH
-Sai Tejaswi Dasari#1 and G K Kishore Babu*2
-#Student,Cse, CIET, Lam,Guntur, India
-* Assistant Professort,Cse, CIET, Lam,Guntur , India"

 f5c99652c4c89e56156faf2bed361a15de6162d5,Towards Large-Scale Multimedia Retrieval Enriched by Knowledge about Human Interpretation Retrospective Survey,"Noname manuscript No.
 (will be inserted by the editor)
 Towards Large-Scale Multimedia Retrieval Enriched
@@ -19386,19 +16517,6 @@ b87eeb3b873d27c68a5a1cdfd9409c14db352d92,Hierarchical Cellular Automata for Visu
 Hierarchical Cellular Automata for Visual Saliency
 Yao Qin* · Mengyang Feng* · Huchuan Lu · Garrison W. Cottrell
 Received: date / Accepted: date"

-b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2,Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS,"[Lakshmi* et al., 6(2): February, 2017]
-IC™ Value: 3.00
-ISSN: 2277-9655
-Impact Factor: 4.116
-CODEN: IJESS7
-IJESRT
-INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH
-TECHNOLOGY
-VIDEO BASED EMOTION RECOGNITION
-Vijaya Lakshmi R*, Dr. S. Palanivel, Professor
-* M.E II Year Computer Science & Engineering, Annamalai University, Annamalai Nagar-608 002
-Computer Science & Engineering, Annamalai University, Annamalai Nagar-608 002
-DOI: 10.5281/zenodo.268690"

 b8abc0573208786550e0bfbce4bbcac9d048537e,Context-Patch for Difficult Face Recognition Anonymous ICB 2012 submission,"CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 Context-Patch for Difficult Face Recognition
 Anonymous ICB 2012 submission"

@@ -19479,15 +16597,6 @@ Liangchen Song12∗ Cheng Wang23∗ Lefei Zhang1 Bo Du1
 Qian Zhang2 Chang Huang2 Xinggang Wang3
 Wuhan University 2Horizon Robotics
 Huazhong Univ. of Science and Technology"

-b831a08a7098b64485587541485859c9213e6dc2,Applications of 3 D morphable models for faces with expressions,"Applications of 3D morphable models for faces with expressions
-B. Chu1,2, S. Romdhani1 et L. Chen2
-Morpho, SAFRAN Group
-1 boulevard Galliéni 92130 Issy-Les-Moulineaux - France
-{baptiste.chu,
-Université de Lyon, CNRS
-Ecole Centrale de Lyon, LIRIS UMR5205, F-69134
-Lyon, France
-{baptiste.chu,"

 b86bcc153e097838fdb31ffa6c363f1d883512ae,ON-LINE UNSUPERVISED ADAPTATION FOR FACE VERIFICATION USING GAUSSIAN MIXTURE MODELS WITH MULTIPLE USER MODELS,"ON-LINE UNSUPERVISED ADAPTATION FOR
 FACE VERIFICATION USING GAUSSIAN
 MIXTURE MODELS WITH MULTIPLE USER
@@ -19528,12 +16637,6 @@ nxiety using human neuroimaging and behavioral approaches. Each of these
 pproaches alone provides only limited information on genetic and environ-
 mental influences on complex human behavior across development. Together,
 they reflect an emerging field of translational developmental neuroscience in"

-b82a4a0457170258aaf622b81e6f739a220398eb,Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TMM.2016.2605058, IEEE
-Transactions on Multimedia
-Person Re-identification via Ranking Aggregation
-of Similarity Pulling and Dissimilarity Pushing
-Mang Ye, Chao Liang(cid:3), Yi Yu, Zheng Wang, Qingming Leng,
-Chunxia Xiao, Member, IEEE, Jun Chen, Ruimin Hu, Senior Member, IEEE"

 b856c0eb039effce7da9ff45c3f5987f18928bef,Pedestrian Alignment Network for Large-scale Person Re-identification,"Noname manuscript No.
 (will be inserted by the editor)
 Pedestrian Alignment Network for
@@ -19589,24 +16692,6 @@ No Institute Given"
 b8a829b30381106b806066d40dd372045d49178d,A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation,"A Probabilistic Framework for Joint Pedestrian Head
 nd Body Orientation Estimation
 Fabian Flohr, Madalin Dumitru-Guzu, Julian F. P. Kooij, and Dariu M. Gavrila"

-b88e0c3a6a95e5193085a258cd281802852e5a4a,Progression in large Age-gap face verification,"International Research Journal of Engineering and Technology (IRJET)       e-ISSN: 2395-0056
-Volume: 04 Issue: 09 | Sep -2017                     www.irjet.net                                                                 p-ISSN: 2395-0072
-Progression in large Age-gap face verification
-Neha Rahman1, Ankit Chaora2
-,2 Dept. of Electronics and Telecommunication Engineering, Rungta College of Engineering and Technology
-M.tech Scholar, Digital Electronics, 2Assistant Professor
-Bhilai, India
-techniques,  database,  machine
-research projects.
-.  The
-increasing  need  for  surveillance  related
-pplications  due  to  drug  trafficking  and  terrorist
-ctivities etc.
-.  The availability of real time hardware.
-.  The re-emergence of neural network classifiers with
-emphasis on real time computation and adaptation.
----------------------------------------------------------------------***---------------------------------------------------------------------
-.  The increase in emphasis on civilian or commercial"

 b871d1b8495025ff8a6255514ed39f7765415935,Application of Completed Local Binary Pattern for Facial Expression Recognition on Gabor Filtered Facial Images,"Application of Completed Local Binary Pattern for Facial Expression
 Recognition on Gabor Filtered Facial Images
 Tanveer Ahsan, 2Rifat Shahriar, *3Uipil Chong
@@ -19711,16 +16796,6 @@ http://hdl.handle.net/10072/56813
 Link to published version
 http://www.aprs.org.au/dicta13/
 Griffith Research Online"

-4183d1b79d54f5638063e6c59a2a873ee2cd1bed,Multi-cue pedestrian classification with partial occlusion handling,"Multi-Cue Pedestrian Classification With Partial Occlusion Handling
-Markus Enzweiler1
-Angela Eigenstetter2
-Bernt Schiele2,3
-Dariu M. Gavrila4,5
-Image & Pattern Analysis Group, Univ. of Heidelberg, Germany
-Computer Science Department, TU Darmstadt, Germany
-MPI Informatics, Saarbr¨ucken, Germany
-Environment Perception, Group Research, Daimler AG, Ulm, Germany
-5 Intelligent Autonomous Systems Group, Univ. of Amsterdam, The Netherlands"

 41de109bca9343691f1d5720df864cdbeeecd9d0,Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality,"Article
 Facial Emotion Recognition: A Survey and
 Real-World User Experiences in Mixed Reality
@@ -19761,11 +16836,6 @@ PROJECT DESCRIPTION
 Project Overview
 The computer vision research problem of human re-identification or “re-id” is generally posed as follows:
 Given a cropped rectangle of pixels representing a human in one view, a re-id algorithm produces a similarity"

-41decbe12a8aa7996163636e09d1ce1372c271cd,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,"Attentive Fashion Grammar Network for
-Fashion Landmark Detection and Clothing Category Classification
-Wenguan Wang∗1,2, Yuanlu Xu∗2, Jianbing Shen†1, and Song-Chun Zhu2
-Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China
-Department of Computer Science and Statistics, University of California, Los Angeles, USA"

 4189aa74550c1761dd5927442d0a98ff3d3d1134,Residual Conv-Deconv Grid Network for Semantic Segmentation,"FOURURE ET AL.: RESIDUAL CONV-DECONV GRIDNET
 Residual Conv-Deconv Grid Network for
 Semantic Segmentation
@@ -19787,12 +16857,6 @@ Christian Wolf2"
 Kaiming He Ross Girshick
 Piotr Doll´ar
 Facebook AI Research (FAIR)"

-4192454749b4fc4a95348e7260c2f5c56a06cafd,Image retrieval using efficient feature vectors generated from compressed domain,"IMAGE RETRIEVAL USING EFFICIENT FEATURE VECTORS
-GENERATED FROM COMPRESSED DOMAIN
-Daidi Zhong, Irek Defée
-Department of Information Technology, Tampere University of Technology.
-P.O. Box 553, FIN-33101 Tampere, Finland
-{daidi.zhong,"

 41fafb5392ad5e33e5169d870812ab5edca301a1,Tree-Structured Stick Breaking Processes for Hierarchical Data,"TREE-STRUCTURED STICK BREAKING PROCESSES
 FOR HIERARCHICAL DATA
 By Ryan P. Adams, Zoubin Ghahramani and Michael I. Jordan
@@ -19865,15 +16929,6 @@ Yang-Ting Chou, Shih-Ming Huang and Jar-Ferr Yang*"
 4196e0b77f88ea01cd868c535befb52c2722454f,3D Facial similarity: Automatic assessment versus perceptual judgments,"D Facial Similarity: Automatic Assessment versus Perceptual
 Judgments
 Anush K. Moorthy, Anish Mittal, Sina Jahanbin, Kristen Grauman and Alan C. Bovik"

-41c1b8f319e27be0c77c3b33cf877c29b1676501,"Face Recognition based on Radon Transform , PCA , LDA using KNN and SVM","I.J. Computer Network and Information Security, 2014, 7, 36-43
-Published Online June 2014 in MECS (http://www.mecs-press.org/)
-DOI: 10.5815/ijcnis.2014.07.05
-D Face Recognition based on Radon Transform,
-PCA, LDA using KNN and SVM
-P. S. Hiremath and Manjunatha Hiremath
-Department of Computer Science, Gulbarga University, Gulbarga – 585106
-e-mail: and
-Karnataka, India"

 41308edf82ae645923efea2d6979d076b975ee25,Convolutional Scale Invariance for Semantic Segmentation,"Convolutional Scale Invariance
 for Semantic Segmentation
 Ivan Kre(cid:20)so, Denis (cid:20)Cau(cid:20)sevi(cid:19)c, Josip Krapac and Sini(cid:20)sa (cid:20)Segvi(cid:19)c
@@ -19910,9 +16965,6 @@ processing based on the structure of the face, the complementary Data-Driven Fac
 project is directed toward deriving models of facial movement (including non-speech gestures)
 directly from data.
 Discussion of Methodology Used"

-4188bd3ef976ea0dec24a2512b44d7673fd4ad26,Nonlinear Non-Negative Component Analysis Algorithms,"Nonlinear Non-Negative Component
-Analysis Algorithms
-Stefanos Zafeiriou, Member, IEEE, and Maria Petrou, Senior Member, IEEE"

 41690be86b39c55a26ea056261513ddd726d6601,Heterogeneous microarchitectures trump voltage scaling for low-power cores,"Heterogeneous Microarchitectures Trump Voltage Scaling
 for Low-Power Cores
 Andrew Lukefahr, Shruti Padmanabha, Reetuparna Das, Ronald Dreslinski Jr.,
@@ -20123,23 +17175,6 @@ Department of Computer Engineering, Faculty of Engineering,
 Prince of Songkla University, Hat Yai, Songkhla, 90112 Thailand
 Telephone: (66)080-7045015, (66)074-287-357
 E-mail:"

-84b451a5749837d28af5e96fd3349d852fefe4f2,A Robust Face Recognition Approach through Different Local Features,"[Yohanu, 4(9): September 2017]                                                                                        ISSN 2348 – 8034
-DOI- 10.5281/zenodo.888845                                                                                     Impact Factor- 4.022
-GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES
-A ROBUST FACE RECOGNITION APPROACH THROUGH DIFFERENT LOCAL
-*1PG Student, ECE Department, Indira Institute of Technology & Sciences, Markapur, A.P, India,
-Assistant Professor, ECE Department Indira Institute of Technology & Sciences, Markapur, A.P, India
-FEATURES
-K.Yohanu*1 & M.Pradeep2"

-846f3857976ba437e0592a848e47f6a3370880a3,SERSC 3 D Face Recognition Based on Depth and Intensity Gabor Features using Symbolic PCA and AdaBoost,"International Journal of Signal Processing, Image Processing and Pattern Recognition
-Vol.6, No.5 (2013), pp.1-12
-http://dx.doi.org/10.14257/ijsip.2013.6.5.01
-D Face Recognition Based on Depth and Intensity Gabor
-Features using Symbolic PCA and AdaBoost
-P. S. Hiremath and Manjunatha Hiremath
-Department of Computer Science
-Gulbarga University, Gulbarga – 585106
-Karnataka, India,"

 8411fe1142935a86b819f065cd1f879f16e77401,Facial Recognition using Modified Local Binary Pattern and Random Forest,"International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 4, No. 6, November 2013
 Facial Recognition using Modified Local Binary
 Pattern and Random Forest
@@ -20162,10 +17197,6 @@ weak supervision
 Steven Hickson, Anelia Angelova, Irfan Essa, Rahul Sukthankar
 Google Brain / Google Research
 (shickson, anelia, irfanessa,"

-841a5de1d71a0b51957d9be9d9bebed33fb5d9fa,PCANet: A Simple Deep Learning Baseline for Image Classification?,"PCANet: A Simple Deep Learning Baseline for
-Image Classification?
-Tsung-Han Chan, Member, IEEE, Kui Jia, Shenghua Gao, Jiwen Lu, Senior Member, IEEE,
-Zinan Zeng, and Yi Ma, Fellow, IEEE"

 84187adc5e6412123405102bb3c2f0428713593c,Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning,"IPSJ SIG Technical Report
 Quad-Tree based Image Encoding Methods for
 Data-Adaptive Visual Feature Learning
@@ -20186,12 +17217,6 @@ CVC and DCC, UAB
 Germ´an Ros
 CVC and DCC, UAB
 December 30, 2016"

-84eb543a649f7331403caef6aaf96177c6cf5571,Automatic Rank Determination in Projective Nonnegative Matrix Factorization,"Automatic Rank Determination in Projective
-Nonnegative Matrix Factorization
-Zhirong Yang, Zhanxing Zhu, and Erkki Oja
-Department of Information and Computer Science(cid:2)
-Aalto University School of Science and Technology
-P.O.Box 15400, FI-00076, Aalto, Finland"

 84c35fc21db3bcd407a4ffb009912b6ac5a47e3c,MGAN: TRAINING GENERATIVE ADVERSARIAL NETS,"Under review as a conference paper at ICLR 2018
 MGAN: TRAINING GENERATIVE ADVERSARIAL NETS WITH
 MULTIPLE GENERATORS
@@ -20226,25 +17251,6 @@ into  multi-resolution  sub"
 84fa126cb19d569d2f0147bf6f9e26b54c9ad4f1,Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples,"Improved Boosting Performance by Explicit
 Handling of Ambiguous Positive Examples
 Miroslav Kobetski and Josephine Sullivan"

-8408f4b1193e8db25fec818a989d9fe3194d5ea6,Face Recognition using Radon Transform and Symbolic LDA,"International Journal of Computer Applications (0975 - 8887)
-Volume 67 - No. 4, April 2013
-D Face Recognition using Radon Transform and
-Symbolic LDA
-P. S. Hiremath
-Department of Computer Science
-Gulbarga University, Gulbarga-585106
-Karnataka, India
-Manjunatha Hiremath
-Department of Computer Science
-Gulbarga University, Gulbarga-585106
-Karnataka, India"

-84af83ff6412a756df58b6436f0d2e3c049e1f12,Abnormality Detection with Improved Histogram of Oriented Tracklets,"Abnormality Detection with Improved
-Histogram of Oriented Tracklets
-Hossein Mousavi1, Moin Nabi1 , Hamed Kiani Galoogahi1
-Alessandro Perina1 and Vittorio Murino1,2
-Pattern Analysis and Computer Vision Department (PAVIS)
-Istituto Italiano di Tecnologia (IIT) Genova, Italy
-Dipartimento di Informatica,University of Verona, Italy"

 84be05dd82a7208a6e7b3d238df27b123cc917ce,Revisiting Visual Question Answering Baselines,"Revisiting Visual Question Answering Baselines
 Allan Jabri, Armand Joulin, and Laurens van der Maaten
 Facebook AI Research"

@@ -20253,26 +17259,11 @@ Lei Zhang and Dimitris Samaras
 Department of Computer Science,
 SUNY at Stony Brook, NY, 11790
 {lzhang,"

-422fc05b3ef72e96c87b9aa4190efa7c7fb8c170,Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions By,"Global Journal of Computer Science and Technology
-Graphics & Vision
-Volume 12 Issue 11 Version 1.0 Year 2012
-Type: Double Blind Peer Reviewed International Research Journal
-Publisher: Global Journals Inc. (USA)
-Online ISSN: 0975-4172 & Print ISSN: 0975-4350
-Preprocessing  Technique  for  Face  Recognition  Applications
-under Varying Illumination Conditions
-By S.Anila & Dr.N.Devarajan
-Sri Ramakrishna Institute of Technology, Coimbatore-10, Tamil Nadu, India"

 42b56c77e4b154364763d4024baa8129da75151f,Deep Detection of People and their Mobility Aids for a Hospital Robot,"Deep Detection of People and their Mobility Aids for a Hospital Robot
 Andres Vasquez
 Marina Kollmitz
 Andreas Eitel
 Wolfram Burgard"

-423e0f595365640b653c1195749e01394cbcd937,Web-Scale Responsive Visual Search at Bing,"Web-Scale Responsive Visual Search at Bing
-Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang,
-Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti
-Microsoft
-Redmond, Washington"

 42f4653f0693f16e087e4b913407d9b0278154c9,3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning,"D Human Action Recognition with Siamese-
 LSTM Based Deep Metric Learning
 VisLab, Department of Computer Engineering, Gebze Technical University, Kocaeli, Turkey
@@ -20367,12 +17358,6 @@ Luis Patino*, Tom Cane**, Alain Vallee*** and James Ferryman*
 429b8d5bb05e1a580fad0222b9e9496985465e40,"See No Evil, Say No Evil: Description Generation from Densely Labeled Images","Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014), pages 110–120,
 Dublin, Ireland, August 23-24 2014.
 (Count:3) Isa: ride, vehicle,… Doing: parking,… Has: steering wheel,… Attrib: black, shiny,… children (Count:2) Isa: kids, children … Doing: biking, riding … Has: pants, bike … Attrib: young, small … bike (Count:1) Isa: bike, bicycle,… Doing: playing,… Has: chain, pedal,… Attrib: silver, white,… women(Count:3) Isa: girls, models,… Doing: smiling,...  Has: shorts, bags,… Attrib: young, tan,… purses(Count:3) Isa: accessory,… Doing: containing,… Has: body, straps,… Attrib: black, soft,… sidewalk(Count:1) Isa: sidewalk, street,… Doing: laying,… Has: stone, cracks,… Attrib: flat, wide,… woman(Count:1) Isa: person, female,… Doing: pointing,… Has: nose, legs,… Attrib: tall, skinny,… tree(Count:1) Isa: plant,… Doing: growing,… Has: branches,… Attrib: tall, green,… kids(Count:5) Isa: group, teens,… Doing: walking,… Has: shoes, bags,… Attrib: young,… Fiveyoungpeopleonthestreet,twosharingabicycle.Severalyoungpeoplearewalkingnearparkedvehicles.Threegirlswithlargehandbagswalkingdownthesidewalk.Threewomenwalkdownacitystreet,asseenfromabove.Threeyoungwomanwalkingdownasidewalklookingup.Figure1:Anannotatedimagewithhumangeneratedsen-tencedescriptions.Eachboundingpolygonencompassesoneormoreobjectsandisassociatedwithacountandtextla-bels.Thisimagehas9highlevelobjectsannotatedwithover250textuallabels.tomuchofthevisualcontentneededtogeneratecomplete,human-likesentences.Inthispaper,weinsteadstudygenerationwithmorecompletevisualsupport,asprovidedbyhu-manannotations,allowingustodevelopmorecomprehensivemodelsthanpreviouslyconsid-ered.Suchmodelshavethedualbenefitof(1)providingnewinsightsintohowtoconstructmorehuman-likesentencesand(2)allowingustoper-formexperimentsthatsystematicallystudythecontributionofdifferentvisualcuesingeneration,suggestingwhichautomaticdetectorswouldbemostbeneficialforgeneration.Inanefforttoapproximaterelativelycompletevisualrecognition,wecollectedmanuallylabeledrepresentationsofobjects,parts,attributesandac-tivitiesforabenchmarkcaptiongenerationdatasetthatincludesimagespairedwithhumanauthored"

-4244d3340304b114e5c00e7b5797d2338a5c2b82,Face Recognition Using Local Texture Feature,"International Journal of Computer Engineering and Applications,
-Volume XII, Issue I, Jan. 18, www.ijcea.com ISSN 2321-3469
-FACE RECOGNITION USING LOCAL TEXTURE FEATURE
-Pavan.M 1, Sayed Aftab Ahamed 2
-Dept. of Information Science & engineering, J.N.N.C.E
-Shimoga, Karnataka, India"

 4263630a35c5ee34ccf9dbd81c0541d92d0c7d5b,Shape Variation-Based Frieze Pattern for Robust Gait Recognition,"Shape Variation-Based Frieze Pattern for Robust Gait Recognition
 Seungkyu Lee*                    Yanxi Liu*                     Robert Collins
 Dept. of Computer Science and Eng. *Dept. of Electrical Eng.
@@ -20393,12 +17378,6 @@ Sciences, Vanderbilt University Medical Center, and 3Department of Psychology an
 Vanderbilt University, Nashville, TN 37203, USA
 Correspondence should be addressed to Alexandra P. Key, Vanderbilt Kennedy Center, Peabody Box 74, Vanderbilt University, Nashville, TN 37203, USA.
 E-mail:"

-42e3dac0df30d754c7c7dab9e1bb94990034a90d,PANDA: Pose Aligned Networks for Deep Attribute Modeling,"PANDA: Pose Aligned Networks for Deep Attribute Modeling
-Ning Zhang1,2, Manohar Paluri1, Marc’Aurelio Ranzato1, Trevor Darrell2, Lubomir Bourdev1
-EECS, UC Berkeley
-{mano, ranzato,
-Facebook AI Research
-{nzhang,"

 421b3a33ec70af2d733310f6c83ad713a314951d,Using nasal curves matching for expression robust 3D nose recognition,"Emambakhsh, M., Evans, A. and Smith, M. (2013) Using nasal curves
 matching for expression robust 3D nose recognition. In: IEEE Con-
 ference on Biometrics: Theory, Applications and Systems (BTAS2013),
@@ -20453,10 +17432,6 @@ October 17, 2012"
 422d352a7d26fef692a3cd24466bfb5b4526efea,Pedestrian interaction in tracking : the social force model and global optimization methods,"Pedestrian interaction in tracking: the social
 force model and global optimization methods
 Laura Leal-Taix´e and Bodo Rosenhahn"

-42350e28d11e33641775bef4c7b41a2c3437e4fd,Multilinear Discriminant Analysis for Face Recognition,"Multilinear Discriminant Analysis
-for Face Recognition
-Shuicheng Yan, Member, IEEE, Dong Xu, Qiang Yang, Senior Member, IEEE, Lei Zhang, Member, IEEE,
-Xiaoou Tang, Senior Member, IEEE, and Hong-Jiang Zhang, Fellow, IEEE"

 42d8a6b1ef5acaaf4640a8974c6f99d60b56090c,Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation,"SUBMIT TO IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XX, NO. XX, AUGUST 2012
 Markerless Motion Capture of Multiple Characters
 Using Multi-view Image Segmentation
@@ -20668,16 +17643,6 @@ extracted from a face are decomposed in a sparse manner onto this dictionary. We
 that play a crucial role in the final identification rates. Applied to various databases and modalities, we show that this approach"

 fab0d19c58815eccb0db7215fe45d6a32066ca1c,Inferring Human Attention by Learning Latent Intentions,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
 the mug's statuschecking the book's statuslocating the dispenserFigure1:Humanattentionandintentionsina3Dscene.thedispenser,hisattentionsweepsfromthetabletothedis-penser;whilefetchingwaterfromthedispenser,hisintentionistocheckifthemugisfullandhisattentionsteadilyfocusesonthemug.Thedrivingrulesofintentionsactingonattentioncanbeindependentofactivitycategories.Forexample,inFigure1,theattentiondrivenbytheintentioncheckingstatusalwayspresentsassteadilyfocusing,evenindifferentactivities.Thisphenomenonmakesitpossibletoinfertheattentionwiththesamerulesacrossdifferentactivities.However,thesedrivingrulesarehiddenandshouldbelearnedfromdata.Thispaperproposesaprobabilisticmethodtoinfer3Dhu-manattentionbyjointlymodelingattention,intentions,andtheirinteractions.Theattentionandintentionarerepresent-edwithfeaturesextractedfromhumanskeletonsandscenevoxels.Humanintentionsaretakenaslatentvariableswhichguidethemotionsandformsofhumanattention.Conversely,thehumanattentionrevealstheintentionfeatures.Attentioninferenceismodeledasajointoptimizationwithlatenthu-manintentions.WeadoptanEM-based[Bishop,2006]approachtolearnthemodelparametersandminethelatentintentions.Giv-enanRGB-DvideowithhumanskeletonscapturedbytheKinectcamera,ajoint-statedynamicprogrammingalgorithm"

-fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,"International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
-Vol. 2, Issue 1, January  2013
-Wavelet Based Face Recognition for Low
-ISSN: 2278 – 8875
-Quality Images
-M.Karthika, 2K.Shanmugapriya, 3Dr.S.Valarmathy,  4M.Arunkumar
-PG Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu,India
-PG Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu,India
-Professor and Head, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India
-Assistant Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India"

 fa08a4da5f2fa39632d90ce3a2e1688d147ece61,Supplementary material for “ Unsupervised Creation of Parameterized Avatars ” 1 Summary of Notations,"Supplementary material for
 “Unsupervised Creation of Parameterized Avatars”
 Summary of Notations
@@ -20763,26 +17728,7 @@ Rui Guo2
 UC San Diego
 Toyota InfoTechnology Center
 {yum107, yol070, amraj, ssunarjo, tjavidi,"

-fa356a677a4258408f6d3901ef7b450ad1ad9edf,A Review of Numerous Facial Recognition Techniques in Image Processing,"A.Swaminathan et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.1, January- 2014, pg. 233-243
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 3, Issue. 1, January 2014, pg.233 – 243
-REVIEW ARTICLE
-A Review of Numerous Facial Recognition
-Techniques in Image Processing
-A.Swaminathan1, N.Kumar2, M.Ramesh Kumar3
-M.E Student, 2,3Asst Professor,
-, 2, 3 Department of Computer Science & Engineering,
-, 2, 3 Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
-, 2, 3"

 fabbc7f921d77b5aa9157310df29ad81367fe92d,Efficient Image and Video Representations for Retrieval,

-fa83597bf71dbeb606bca6593bcef8ecd51e8661,MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES,"MICHAEL KAMARAJ AND G. BALAKRISHNAN: MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES
-MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES
-Department of Computer Applications, Pavendar Bharathidasan College of Engineering and Technology, India
-Department of Computer Science and Engineering, Indra Ganesan College of Engineering, India
-Michael Kamaraj1 and G. Balakrishnan2"

 fad895771260048f58d12158a4d4d6d0623f4158,Audio-visual emotion recognition for natural human-robot interaction,"Audio-Visual Emotion
 Recognition For Natural
 Human-Robot Interaction
@@ -20848,15 +17794,6 @@ Universitat Aut`onoma de Barcelona, Spain"
 fa2603efaf717974c77162c93d800defae61a129,Face recognition/detection by probabilistic decision-based neural network,"Face Recognition/Detection by Probabilistic
 Decision-Based Neural Network
 Shang-Hung Lin, Sun-Yuan Kung, Fellow, IEEE, and Long-Ji Lin"

-fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments Tmt .,"International Journal of Scientific and Research Publications, Volume 3, Issue 8, August 2013
-ISSN 2250-3153
-A Novel Framework for Face Recognition in Real-Time
-Environments
-Tmt.Maithili Easwaran*, Dr.B.Poorna**
-*Department of Computer Applications, S.A.Engineering College, TN, INDIA
-** Department of Computer applications, Shankarlal Sundarbai Shasun Jain College for Women, TN, INDIA
-i.e.,
-(PCA)-based"

 faca1c97ac2df9d972c0766a296efcf101aaf969,Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition,"Sympathy for the Details: Dense Trajectories and Hybrid
 Classification Architectures for Action Recognition
 C´esar Roberto de Souza1,2, Adrien Gaidon1, Eleonora Vig3, Antonio Manuel L´opez2
@@ -20908,12 +17845,6 @@ Department of Electrical and Electronics Engineering, M.E.T.U.
 Graduate School of Informatics, M.E.T.U.
 {hakan.sevimli, ersin.esen, tugrul.ates, ezgican.ozan, mashar.tekin, berker.logoglu,
 muge.sevinc,"

-fa1b849697115ceede0a08ac552ea25ce2bf33a1,A N APPROACH TO F ACE R ECOGNITION OF 2-D IMAGES USING E IGEN F ACES AND PCA,"Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.2, April 2012
-AN APPROACH TO FACE RECOGNITION OF 2-D
-IMAGES USING EIGEN FACES AND PCA
-Annapurna Mishra1, Monorama Swain2 and Bodhisattva Dash3
-Department of Electronics & Telecommunication Engineering
-Silicon Institute of Technology, Bhubaneswar, India"

 faa111d749eb228c686643e4667dd1bc21c724f2,Condensed from Video Sequences for Place Recognition,"Boosting Descriptors Condensed from Video Sequences for Place Recognition
 Tat-Jun Chin, Hanlin Goh and Joo-Hwee Lim
 Institute for Infocomm Research
@@ -20947,17 +17878,6 @@ GIT Vision Lab∗, Department of Computer Engineering, Gebze Institute of Techno
 Keywords:
 Age Estimation, Age Classification, Geometric Features, LBP, Gabor, LGBP, Cross Ratio, FGNET, MORPH."

 fa4ff855ca125b986bcb2bc6b71bef2ae8fde1cf,"3d Integral Invariant Signatures and Their Application on Face Recognition Dedication I Am Grateful for the Support and Guidance I Have Received from Dr. Irina A. Kogan, and I Also Express My Gratitude To",

-fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,"Maximum A Posteriori Estimation of Distances
-Between Deep Features in Still-to-Video Face
-Recognition
-Andrey V. Savchenko
-National Research University Higher School of Economics
-Laboratory of Algorithms and Technologies for Network Analysis,
-6 Rodionova St., Nizhny Novgorod, Russia
-Natalya S. Belova
-National Research University Higher School of Economics
-0 Myasnitskaya St., Moscow, Russia
-September 2, 2018"

 fa4544e5dce135c3d0517304ec9e620c78267891,LIDAR-based driving path generation using fully convolutional neural networks,"LIDAR-based Driving Path Generation
 Using Fully Convolutional Neural Networks
 Luca Caltagirone∗, Mauro Bellone, Lennart Svensson, Mattias Wahde"

@@ -21026,10 +17946,6 @@ UPMC – Sorbonne Universit´es, Paris, France
 Joo-Hwee Lim†
 Institute for Infocomm Research
 A*STAR, Singapore"

-6742c0a26315d7354ab6b1fa62a5fffaea06da14,What does 2 D geometric information really tell us about 3 D face shape ?,"BAS AND SMITH: WHAT DOES 2D GEOMETRIC INFORMATION REALLY TELL US ABOUT 3D FACE SHAPE?
-What does 2D geometric information
-really tell us about 3D face shape?
-Anil Bas and William A. P. Smith, Member, IEEE"

 6740f4918d594094f5eca3c0c65006c9c6d6c1d4,Class Room Attendance System Using Facial Recognition System,"The International Journal of Mathematics, Science, Technology and Management
 (ISSN : 2319-8125) Vol. 2 Issue 3
 Class Room Attendance System Using Facial
@@ -21049,29 +17965,6 @@ Guilhem Chéron∗ 1 2
 Jean-Baptiste Alayrac∗ 1
 Ivan Laptev1
 Cordelia Schmid2"

-679136c2844eeddca34e98e483aca1ff6ef5e902,Scene-Specific Pedestrian Detection Based on Parallel Vision,"Scene-Specific Pedestrian Detection Based on
-Parallel Vision
-Wenwen Zhang, Kunfeng Wang, Member, IEEE, Hua Qu, Jihong Zhao, and Fei-Yue Wang, Fellow, IEEE"

-6775c818b26263c885b0ce85c224dfd942c9652e,PEDESTRIAN AND OBJECT DETECTION USING LEARNED CONVOLUTIONAL FILTERS,"U.P.B. Sci. Bull., Series C, Vol. 77, Iss. 2, 2015
-ISSN 2286-3540
-PEDESTRIAN AND OBJECT DETECTION USING LEARNED
-CONVOLUTIONAL FILTERS
-Anamaria R ˘ADOI1 , Dan Alexandru STOICHESCU2
-Object detection is still a very active field in Computer Vision. Until now, part
-ased models proved to be one of the most interesting and successful approaches
-in object and pedestrian detection. The method applies a machine learning ap-
-proach not to the input images themselves, but to histograms of gradients. How-
-ever, its performances are still limited when compared to what humans can do.
-The purpose of the present paper is to show that sparse representations can be
-successfully used in object detection. The main advantage of using this method is
-related to the possibility of learning only those filters that are able to express the
-most frequent patterns that appear in the analyzed images. The experiments are
-arried out on two widely used datasets, namely VOC2007 and INRIA Person.
-Keywords: learned filterbanks, stochastic gradient descent, pedestrian detection,
-object detection, Histogram of Oriented Gradients.
-. Introduction
-Object detection is a major challenge for many areas of research, starting
-from medicine and going to applications such as street surveillance or video appli-"

 67126ad0af544740c455311d08cb180aec830a6c,Generating Descriptions of Spatial Relations between Objects in Images,"Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), pages 100–104,
 Brighton, September 2015. c(cid:13)2015 Association for Computational Linguistics"

 67484723e0c2cbeb936b2e863710385bdc7d5368,Anchor Cascade for Efficient Face Detection,"Anchor Cascade for Efficient Face Detection
@@ -21111,21 +18004,6 @@ Susanna Ricco∗
 Rahul Sukthankar∗
 Cordelia Schmid† ∗
 Jitendra Malik‡ ∗"

-676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,"International Journal of Computer Applications (0975 – 8887)
-Volume 168 – No.12, June 2017
-Performance of Gabor mean Feature Extraction
-Techniques for Ear Biometrics Recognition System
-Bhanu Vadhwani
-Rajasthan College of Engg.
-for Women, India
-Vineet Khanna
-JaipuRajasthan College of
-Engg. for Women
-Shubhlakshmi Agarwal
-The ICFAI University, Jaipur, India
-Sandeep Kumar Gupta
-Machine Learning Research
-Lab, Jaipur, India"

 679aded003bce19aa7821295117693b9a5b4f0ef,Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation,"Fluid Annotation: A Human-Machine Collaboration Interface
 for Full Image Annotation
 Mykhaylo Andriluka∗
@@ -21159,19 +18037,6 @@ Anguelos Nicolaou∗, Andrew D. Bagdanov∗, Marcus Liwicki†, and Dimosthenis
 Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona,Bellaterra, Spain
 DIVA research group, Department of Informatics, University of Fribourg, Switzerland
 Email:"

-6789bddbabf234f31df992a3356b36a47451efc7,Unsupervised Generation of Free-Form and Parameterized Avatars.,"Unsupervised Generation of Free-Form and
-Parameterized Avatars
-Adam Polyak, Yaniv Taigman, and Lior Wolf, Member, IEEE"

-67e488d4d31d65a31d4bc2a3337c587720af2a12,Cross-Class Sample Synthesis for Zero-shot Learning,"LIU, LI, YANG: CROSS-CLASS SAMPLE SYNTHESIS FOR ZERO-SHOT LEARNING
-Cross-Class Sample Synthesis
-for Zero-shot Learning
-Jinlu Liu
-Xirong Li
-Gang Yang*
-School of Information
-Renmin University of China
-Beijing, China
-*Corresponding author"

 67bee729d046662c6ebd9d3d695823c9d820343a,Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 588–598,
 Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

 674fcadf1b895e3a79380d3ac5afb43d406fd31a,Facial Asymmetry Assessment from 3D Shape Sequences: The Clinical Case of Facial Paralysis,

@@ -21258,9 +18123,6 @@ of hip motion) under three attack scenarios, we revealed that a minimal effort m
 hances of impostors. However, impostors who know their closest person in the database or the genders of the users can be a
 threat to gait-based authentication. We also provide some new insights toward the uniqueness of gait in case of foot motion. In
 particular, we revealed the following: a sideway motion of the foot provides the most discrimination, compared to an up-down or"

-67fd4f209aa6e8359fc86bdc12c62bbdb0529077,Scalable Nearest Neighbor Algorithms for High Dimensional Data,"Scalable Nearest Neighbor Algorithms
-for High Dimensional Data
-Marius Muja, Member, IEEE and David G. Lowe, Member, IEEE"

 67a56dd94906a5460c263e1a1b87fa3a52c4b453,FACE ANALYSIS BY LOCAL DIRECTIONAL NUMBER PATTERN,"International Journal of Engineering Research and General Science Volume 3, Issue 1,  January-February, 2015
 ISSN 2091-2730
 FACE ANALYSIS BY LOCAL DIRECTIONAL NUMBER PATTERN
@@ -21278,18 +18140,6 @@ Nenad Markuˇs*, Miroslav Frljak*, Igor S. Pandˇzi´c*, J¨orgen Ahlberg†, an
 * University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
 Link¨oping University, Department of Electrical Engineering, SE-581 83 Link¨oping, Sweden
 March 28, 2014"

-eb044760b6502431da6b6f3d5ad11aaab851a1ff,Video Storytelling,"A SUBMISSION TO IEEE TRANSACTIONS ON MULTIMEDIA
-Video Storytelling
-Junnan Li, Yongkang Wong, Member, IEEE, Qi Zhao, Member, IEEE, Mohan S. Kankanhalli, Fellow, IEEE"

-ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9,Fast algorithms for Higher-order Singular Value Decomposition from incomplete data,"Journal of Computational Mathematics
-Vol.xx, No.x, 200x, 1–25.
-http://www.global-sci.org/jcm
-doi:??
-Fast algorithms for Higher-order Singular Value Decomposition
-from incomplete data*
-Department of Mathematics, University of Alabama, Tuscaloosa, AL
-Yangyang Xu
-Email:"

 eb33adf3f8eb5c07b58a1433734ab1fee5d77c93,"Singleton, C. J., Ashwin, C. and Brosnan, M. (2014) Physiological Responses to Social and Nonsocial Stimuli in Neurotypical Adults With High and Low Levels of Autistic Traits:Implications for Understanding Nonsocial Drive in Autism Spectrum","Singleton, C. J., Ashwin, C. and Brosnan, M. (2014) Physiological
 Responses to Social and Nonsocial Stimuli in Neurotypical
 Adults With High and Low Levels of Autistic Traits:Implications
@@ -21332,46 +18182,12 @@ t the University of Central Florida
 Orlando, Florida
 Spring Term
 Major Professor: Mubarak Shah"

-ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,"Multi-feature Fusion Face Recognition Based on
-Kernel Discriminate Local Preserve Projection
-Algorithm under Smart Environment
-.College of Electrical and Information Engineering, Lanzhou University of  Technology, Lanzhou,China
-.Key Laboratory of Gansu Advanced Control for Industrial Processes,Lanzhou,China
-.Manufacturing Engineering Technology Research Center of Gansu,Lanzhou,China
-Di Wu1,2,3
-Email:
-Jie Cao1,2,3,4 , Jinhua Wang1,2,3,,Wei Li2,3,4
-4.  College of Computer and Communication, Lanzhou University  of  Technology, Lanzhou ,China
-Email:
-local
-kernel
-discriminate"

 eb0e0a40372db32d30ceaefad046b213fac977f4,SCENE UNDERSTANDING USING BACK PROPAGATION BY NEURAL NETWORK,"Scene Understanding Using Back Propagation by Neural Network
 SCENE UNDERSTANDING USING BACK PROPAGATION BY
 NEURAL NETWORK
 ARTI TIWARI1 & JAGVIR VERMA2
 ,2Department of Elex & Telecomm. Engg.Chouksey Engg. College,Bilaspur
 intelligent  human-computer"

-eb6243b1c9506f9450dab2a09db9c17fc2c2d364,D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,"ISSN(Online): 2319-8753
-ISSN (Print):   2347-6710
-International Journal of Innovative Research in Science,
-Engineering and Technology
-(An ISO 3297: 2007 Certified Organization)
-Vol. 5, Issue 8, August 2016
-D Face Recognition system Based on Texture
-Gabor Features using PCA and Support
-Vector Machine as a Classifier
-Rajesh Yadav 1, Dr. Chandra kumarJha 2
-Assistant Professor, Department of Computer Science, Gurgaon Institute of Technology &Management, Gurgaon,
-Haryana, India1
-Associate Professor, Department of Computer Science &Engineering, AIM & ACT, Banasthali University, Jaipur,
-Rajasthan, India2"

-ebabd1f7bc0274fec88a3dabaf115d3e226f198f,Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks,"Driver drowsiness detection system based on feature
-representation learning using various deep networks
-Sanghyuk Park, Fei Pan, Sunghun Kang and Chang D. Yoo
-School of Electrical Engineering, KAIST,
-Guseong-dong, Yuseong-gu, Dajeon, Rep. of Korea
-{shine0624, feipan, sunghun.kang, cd"

 eb526174fa071345ff7b1fad1fad240cd943a6d7,Deeply vulnerable: a study of the robustness of face recognition to presentation attacks,"Deeply Vulnerable – A Study of the Robustness of Face Recognition to
 Presentation Attacks
 Amir Mohammadi, Sushil Bhattacharjee, and S´ebastien Marcel ∗†"

@@ -21419,11 +18235,6 @@ Wushan Road, Tianhe District, Guangzhou 510640, China; (J.S.); (J.Y.)
 * Correspondence:
 Academic Editor: Willy Susilo
 Received: 6 February 2017; Accepted: 5 April 2017; Published: 11 April 2017"

-ebd36259defde84deb0d4c09695b54befe538ac8,Robust Generalized Low Rank Approximations of Matrices,"RESEARCH ARTICLE
-Robust Generalized Low Rank
-Approximations of Matrices
-Jiarong Shi*, Wei Yang, Xiuyun Zheng
-School of Science, Xi'an University of Architecture and Technology, Xi'an, China"

 ebf204e0a3e137b6c24e271b0d55fa49a6c52b41,Visual Tracking Using Deep Motion Features,"Master of Science Thesis in Electrical Engineering
 Department of Electrical Engineering, Linköping University, 2016
 Visual Tracking Using
@@ -21432,26 +18243,6 @@ Susanna Gladh"
 eb4edbec8cb122de07951e3cf54c33fc30dd1c19,Examining the Effects of Supervision for Transfer from Synthetic to Real Driving Domains Vashisht Madhavan,"Examining the Effects of Supervision for Transfer from Synthetic to Real
 Driving Domains
 Vashisht Madhavan"

-eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,"Journal of Information Hiding and Multimedia Signal Processing
-Ubiquitous International
-⃝2012 ISSN 2073-4212
-Volume 3, Number 3, July 2012
-Restricted Nearest Feature Line with Ellipse for Face
-Recognition
-Qingxiang Feng1, Jeng-Shyang Pan2;∗
-, and Lijun Yan3
-Department of Computer Science and Technology
-Harbin Institute of Technology Shenzhen Graduate School
-Shenzhen, China
-Department of Computer Science and Technology
-Harbin Institute of Technology Shenzhen Graduate School
-Corresponding Author
-Shenzhen, China
-(cid:3)
-Department of Computer Science and Technology
-Harbin Institute of Technology Shenzhen Graduate School
-Shenzhen, China
-Received January 2012; revised June 2012"

 eb3f47ed113752eaa4c989bb92aa0e3e4e0bf339,Tracking of dolphins in a basin using a constrained motion model,"Tracking of Dolphins in a Basin Using a
 Constrained Motion Model
 Clas Veibäck, Gustaf Hendeby and Fredrik Gustafsson
@@ -21517,12 +18308,6 @@ in Web of Science™ Core Collection (BKCI)
 Interested in publishing with us?
 Contact
 Numbers displayed above are based on latest data collected."

-529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
-> TIP-05732-2009<
-Normalization of Face Illumination Based
-on Large- and Small- Scale Features
-Xiaohua Xie, Wei-Shi Zheng, Member, IEEE, Jianhuang Lai*, Member, IEEE
-Pong C. Yuen, Member, IEEE, Ching Y. Suen, IEEE Fellow"

 520e4b21302b99e5f289075541f9fe4959a639a4,Framewise approach in multimodal emotion recognition in OMG challenge,"Framewise approach in multimodal emotion
 recognition in OMG challenge
 Grigoriy Sterling1, 2, Andrey Belyaev1, 3, and Maxim Ryabov1
@@ -21555,30 +18340,9 @@ Ayeni Olaniyi Abiodun 1, Alese Boniface Kayode1, Dada Olabisi Matemilayo2
 . Department of computer science, Kwara state polytechnic Ilorin, Kwara-State, Nigeria.
 . *Corresponding author:  Ayeni Olaniyi Abiodun  Mail Id:
 Received:    September 22, 2015, Accepted: December 14, 2015, Published: December 14, 2015."

-523abe29cc278f9daf03fe74d1e09d9e2711b73e,Facial Recognition System : A Review,"Debolina S. De, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.10, October- 2015, pg. 7-11
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 4, Issue. 10, October 2015, pg.7 – 11
-REVIEW ARTICLE
-Facial Recognition System: A Review
-Debolina S. De
-Computer Engineering Department, Mukesh Patel School of Technology Management and Engineering, India"

 5265be9c7b8b22f4e06a01736bbedf171caee74e,Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks,"Covariance of Motion and Appearance Features
 for Human Action and Gesture Recognition
 Subhabrata Bhattacharya, Nasim Souly and Mubarak Shah"

-526ce11a6c80716fca69bdc111f32dfbe045e400,A Survey on Dataset Recognition of 3 D Face with Missing Parts,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
-A Survey on Dataset Recognition of 3D Face with
-Missing Parts
-Madhura Patil
-ME Student, Department of Computer Engineering, Sinhgad Academy of Engg. Pune, Maharashtra, India
-possibly
-recognition.3D
-recognization
-methodology"

 5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0,Is the Pedestrian going to Cross? Answering by 2D Pose Estimation,"Is the Pedestrian going to Cross? Answering by 2D Pose Estimation
 Zhijie Fang and Antonio M. L´opez"

 5251cb5349e37495b3ca29b06e6ed7422f12d126,A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier,"Proceedings of the 2007 IEEE
@@ -21682,22 +18446,6 @@ broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destin´ee au d´epˆot et `a la diffusion de documents
 scientifiques de niveau recherche, publi´es ou non,"

-52d9ad99874f6b76184ad9abe45e824a6568617b,Large-Scale Active Learning with Approximations of Expected Model Output Changes,"C. K¨ading, A. Freytag, E. Rodner, A. Perino, J. Denzler
-Large-scale Active Learning with Approximations of Expected Model Output Changes GCPR 2016
-(cid:13) Copyright by Springer. The final publication will be available at link.springer.com
-Large-scale Active Learning with Approximations of
-Expected Model Output Changes
-Christoph K¨ading1,2, Alexander Freytag1,2, Erik Rodner1,2, Andrea Perino3,4, and
-Joachim Denzler1,2,3
-Computer Vision Group, Friedrich Schiller University Jena, Germany
-Michael Stifel Center Jena, Germany
-German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany
-Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany"

-5239001571bc64de3e61be0be8985860f08d7e7e,Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, JUNE 2016
-Deep Appearance Models: A Deep Boltzmann
-Machine Approach for Face Modeling
-Chi Nhan Duong, Student, IEEE, Khoa Luu, Member, IEEE,
-Kha Gia Quach, Student, IEEE, Tien D. Bui, Senior Member, IEEE"

 52cd3eb77a5e259289d2442205f1731eafd581f9,Human Detection Based on the Generation of a Background Image and Fuzzy System by Using a Thermal Camera,"Article
 Human Detection Based on the Generation of
 Background Image and Fuzzy System by Using
@@ -21744,18 +18492,6 @@ J. Fierrez-Aguilar, J. Ortega-Garcia, D. Garcia-Romero and J. Gonzalez-Rodriguez
 www.atvs.diac.upm.es
 Universidad Politecnica de Madrid, Spain
 Biometrics Research Lab., ATVS"

-52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,"Yundi Fu et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014, pg. 110-123
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 3, Issue. 2, February 2014, pg.110 – 123
-RESEARCH ARTICLE
-An Investigation of Face Recognition
-Characteristics Using PCA and ICA
-Yundi Fu1, Yongli Cao1, Arun Kumar Sangaiah2
-Department of Software Engineering, University of Electronic Science and Technology, China
-School of Computing Science and Engineering, VIT University, Vellore, India"

 5232a1ab263e4feaa4989b8b257830650403dfa5,On Finding Differences Between Faces,"On Finding Differences Between Faces
 Manuele Bicego1, Enrico Grosso1, and Massimo Tistarelli2
 DEIR - University of Sassari, via Sardegna 58 - 07100 Sassari - Italy
@@ -21775,13 +18511,6 @@ Yi Yang1, Heng Tao Shen1, Zhigang Ma2, Zi Huang1, Xiaofang Zhou1
 School of Information Technology & Electrical Engineering, The University of Queensland.
 Department of Information Engineering & Computer Science, University of Trento.
 yangyi {huang,"

-527cc8cd2af06a9ac2e5cded806bab5c3faad9cf,Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder,"Abnormal Event Detection in Videos
-using Spatiotemporal Autoencoder
-Yong Shean Chong
-Yong Haur Tay
-Lee Kong Chian Faculty of Engineering Science,
-Universiti Tunku Abdul Rahman, 43000 Kajang, Malaysia.
-January 9, 2017"

 52a723061175ad141d73cb3979788e8afb7291db,Canonical Correlation Analysis of Datasets With a Common Source Graph,"Canonical Correlation Analysis of Datasets
 with a Common Source Graph
 Jia Chen, Gang Wang, Student Member, IEEE,
@@ -21797,11 +18526,6 @@ Lisa Brown
 IBM Watson
 Sharath Pankanti
 IBM Watson"

-bdbf414a2059d542f501ad9b1d21eacc9831082b,Two-Layer Mixture Network Ensemble for Apparel Attributes Classification,"Two-Layer Mixture Network Ensemble for Apparel
-Attributes Classification
-Tianqi Han, Zhihui Fu, and Hongyu Li*
-AI Lab, ZhongAn Information Technology Service Co., Ltd.
-Shanghai, China"

 bd96c3af9c433b4eaf95c8a28f072e1b0fc2de1a,A Study on Facial Expression Recognition Model using an Adaptive Learning Capability,"We are IntechOpen,
 the world’s leading publisher of
 Open Access books
@@ -21844,19 +18568,6 @@ Anupam Garg
 Assistant Professor
 BGIET, Sangrur
 Punjab (India)"

-bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,"Global J Res. Med. Plants & Indigen. Med. | Volume 2, Issue 6 | June 2013 | 448–459
-ISSN 2277-4289 | www.gjrmi.com | International, Peer reviewed, Open access, Monthly Online Journal
-Review article
-PROBABLE ETIOPATHOGENESIS (SAMPRAPTI) OF AUTISM IN FRAME
-OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY
-Yadav Deepmala1*, Behera Banshidhar2, Kumar Abhimanyu3
-Asst.Professor, Dept. of Kaumarbhritya, M.S.M. Institute of Ayurveda, Khanpur kalan, Haryana-131305,
-India
-Lecturer, Dept. of Dravyaguna, Gaur Brahman Ayurvedic College, Rohtak, Haryana – 124001, India
-Director, All India Institute of Ayurveda, Gautampuri, Mathura road, Sarita Vihar, New Delhi-110076,
-India
-*Corresponding Author: E-mail: Mob +919414893921, +919414458895
-Received: 10/05/2013; Revised: 26/05/2013; Accepted: 30/05/2013"

 bd76a71c6b1f414ada026ba82726024fbd58e9fe,DEEPSTEREOBRUSH : INTERACTIVE DEPTH MAP CREATION,"DEEPSTEREOBRUSH: INTERACTIVE DEPTH MAP CREATION
 Sebastian Knorr1,3,∗, Matis Hudon1,∗, Julian Cabrera2,∗, Thomas Sikora3, Aljosa Smolic1 †
 Trinity College Dublin, 2Universidad Polit´ecnica de Madrid, 3Technische Universit¨at Berlin"

@@ -21980,9 +18691,6 @@ Yutaka Matsuo5, Helmut Prendinger6
 Technical University of Munich, Munich, 2KTH Royal Institute of Technology, Stockholm,
 Polytechnic University of Catalonia, Barcelona, 4National Taiwan University, Taipei, 5University of
 Tokyo, Tokyo, 6National Institute of Informatics, Tokyo"

-a577eefb31ba63baa087f321537b0be2784ec013,Security Event Recognition for Visual Surveillance,"Security Event Recognition for Visual Surveillance
-Michael Ying Yang∗, Senior Member, IEEE, Wentong Liao, Chun Yang, Yanpeng Cao, Member, IEEE and Bodo
-Rosenhahn Member, IEEE"

 a56c1331750bf3ac33ee07004e083310a1e63ddc,Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Object Instance Recognition,"Vol. xx, pp. x
 (cid:13) xxxx Society for Industrial and Applied Mathematics
 Ef‌f‌icient Point-to-Subspace Query in (cid:96)1 with Application to Robust Object
@@ -22016,9 +18724,6 @@ Bahria  University
 Islamabad,  Pakistan"

 a5006c29b0609296b5c1368ff1113eeb12b119ad,In-flight launch of unmanned aerial vehicles,"In-flight launch of unmanned aerial vehicles
 Niels Nauwynck, Haris Balta, Geert De Cubber, and Hichem Sahli"

-a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f,A Neural Approach to Blind Motion Deblurring,"A Neural Approach to Blind Motion Deblurring
-Ayan Chakrabarti
-Toyota Technological Institute at Chicago"

 a588d38ec81c0337b445931eadf6f443aea13380,Functional Map of the World,"Functional Map of the World
 Gordon Christie1
 Neil Fendley1
@@ -22135,16 +18840,6 @@ Physics Department, CFSL,
 Sec-36, Chandigarh - 160036
 to:  (a)
 potential  method"

-a5fcb663bffdd39523964e3e958566f4dfbfae90,Günther Palm Towards Robust Speech Acquisition using Sensor Arrays,"Abteilung Neuroinformatik
-Universit¨at Ulm
-Prof. Dr. G¨unther Palm
-Towards Robust Speech Acquisition
-using Sensor Arrays
-Dissertation zur Erlangung des Doktorgrades
-Dr.rer.nat. der Fakult¨at f¨ur Ingenieurwissenschaften und Informatik der Universit¨at Ulm
-Hari Krishna Maganti
-us Hyderabad, India
-UNIVERSITÄ(cid:13)TULM·(cid:13)SCIENDO·(cid:13)DOCENDO·(cid:13)CURANDO·(cid:13)"

 a546fd229f99d7fe3cf634234e04bae920a2ec33,Fast Fight Detection,"RESEARCH ARTICLE
 Fast Fight Detection
 Ismael Serrano Gracia1*, Oscar Deniz Suarez1*, Gloria Bueno Garcia1*, Tae-Kyun Kim2
@@ -22170,8 +18865,6 @@ Visual Behavior in Public Speaking
 Rahul Sharma, Tanaya Guha and Gaurav Sharma
 IIT Kanpur
 {rahus, tanaya,"

-a52d6c456122007f10c90989a1e81dc8e1c599da,Query-Adaptive Image Search With Hash Codes,"Query-Adaptive Image Search with Hash Codes
-Yu-Gang Jiang, Jun Wang, Member, IEEE, Xiangyang Xue, Member, IEEE, Shih-Fu Chang, Fellow, IEEE"

 a59e338fec32adee012e31cdb0513ec20d6c8232,Phase Retrieval Under a Generative Prior,"Phase Retrieval Under a Generative Prior
 Paul Hand∗, Oscar Leong∗, and Vladislav Voroninski†
 July 12, 2018"

@@ -22182,39 +18875,11 @@ JIRI STASTNY*, VLADISLAV SKORPIL**
 Brno University of Technology,
 Purkynova 118,  612 00 Brno,
 CZECH  REPUBLIC,"

-e0dedb6fc4d370f4399bf7d67e234dc44deb4333,Material : MultiTask Video Captioning with Video and Entailment Generation,"Supplementary Material: Multi-Task Video Captioning with Video and
-Entailment Generation
-Ramakanth Pasunuru and Mohit Bansal
-UNC Chapel Hill
-{ram,
-Experimental Setup
-.1 Datasets
-.1.1 Video Captioning Datasets
-YouTube2Text or MSVD The Microsoft Re-
-search Video Description Corpus (MSVD) or
-YouTube2Text (Chen and Dolan, 2011) is used
-for our primary video captioning experiments. It
-has 1970 YouTube videos in the wild with many
-diverse captions in multiple languages for each
-video. Caption annotations to these videos are
-ollected using Amazon Mechanical Turk (AMT).
-All our experiments use only English captions. On
-verage, each video has 40 captions, and the over-
-ll dataset has about 80, 000 unique video-caption
-pairs. The average clip duration is roughly 10 sec-"

 e0181f7596b475f7c7d31fd1eccad8e9b7379180,Facial Expression Recognition for Traumatic Brain Injured Patients,

 e076f818b090e42036821c69727cfa3b7da49373,Social Groups Detection in Crowd through Shape-Augmented Structured Learning,"Social Groups Detection in Crowd Through
 Shape-Augmented Structured Learning
 Francesco Solera and Simone Calderara
 DIEF University of Modena and Reggio Emilia, Italy"

-e0e8c7145c9b389dad2f4e1982f2b9c31b766503,Augmenting Crowd-Sourced 3 D Reconstructions using Semantic Detections,"Augmenting Crowd-Sourced 3D Reconstructions using Semantic Detections
-True Price1
-Department of Computer Science, UNC Chapel Hill
-Johannes L. Sch¨onberger2
-Zhen Wei1 Marc Pollefeys2
-Department of Computer Science, ETH Z¨urich
-Jan-Michael Frahm1
-Microsoft"

 e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e,Ear Recognition : A Complete System,"Ear Recognition: A Complete System
 Ayman Abazaa,b and MaryAnn F. Harrisona
 West Virginia High Tech Foundation, 1000 Technology Drive, Fairmont, USA;
@@ -22300,13 +18965,6 @@ Marcin Mo˙zejko, Mateusz Susik & Rafał Karczewski
 Sigmoidal"

 e0ad3408ed47261a9d0fbc2f037b395fb41b88bf,MOTION VECTOR FIELD ESTIMATION USING BRIGHTNESS CONSTANCY ASSUMPTION AND EPIPOLAR GEOMETRY CONSTRAINT,"ISPRS Technical Commission I Symposium, Sustaining Land Imaging: UAVs to Satellites
 7 – 20 November 2014, Denver, Colorado, USA, MTSTC1-109"

-e054291cbf250592d032722b99c414c2e4741c03,A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction,"A Fast Fixed-Point Algorithm for Two-Class
-Discriminative Feature Extraction
-Zhirong Yang and Jorma Laaksonen
-Laboratory of Computer and Information Science ⋆
-Helsinki University of Technology
-P.O. Box 5400, FI-02015 HUT, Espoo, Finland
-{zhirong.yang,"

 e0e511a5d58a8d090ad169be4fcfdbeaef097a70,Leveraging Cognitive Computing for Gender and Emotion Detection,"Leveraging Cognitive Computing for Gender and
 Emotion Detection
 Andrea Corriga1, Simone Cusimano1, Francesca M. Malloci1, Lodovica
@@ -22414,11 +19072,6 @@ Erica Gessaroli1,2, Erica Santelli3, Giuseppe di Pellegrino1,4*, Francesca Frass
 Department of Psychology, University of Bologna, Bologna, Italy, 2 Fondazione Salvatore Maugeri, Clinica del Lavoro e della Riabilitazione, Istituto di Ricovero
 e  Cura  a  Carattere  Scientifico,  Mantova,  Castel  Goffredo,  Italy,  3  Centro  Autismo,  Reggio  Emilia,  Italy,  4  Center  for  Studies  and  Research  in  Cognitive
 Neuroscience, Cesena, Italy"

-e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6,Fusion Scheme for Semantic and Instance-level Segmentation,"Fusion Scheme for Semantic and Instance-level Segmentation
-Arthur Daniel Costea ∗, Andra Petrovai ∗ and Sergiu Nedevschi
-Image Processing and Pattern Recognition Research Center
-Technical University of Cluj-Napoca, Romania
-{arthur.costea, andra.petrovai,"

 6898b0934d2bc34acc61a3c63fbb20337d7b9a95,Learning Styles and Emotion Recognition in a Fuzzy Expert System,"Learning Styles and Emotion Recognition in a Fuzzy
 Expert System
 Ramón Zatarain-Cabada, M. Lucía Barrón-Estrada, Rosalío Zatarain-Cabada
@@ -22429,15 +19082,6 @@ Instituto Tecnológico de Culiacán, Juan de Dios Bátiz s/n, Col. Guadalupe, Cu
 nd Dominance Underlie Perceptions of Criminality?
 Heather D. Flowe*
 College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, United Kingdom"

-68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5,AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS,"AGE CLASSIFICATION BASED ON
-SIMPLE LBP TRANSITIONS
-Research Scholar & Assoc Professor, Aditya institute of Technology and Management, Tekkalli-532 201, A.P.,
-Gorti Satyanarayana Murty
-India,
-Dr. V.Vijaya Kumar
-A. Obulesu
-Dean-Computer Sciences (CSE & IT), Anurag Group of Institutions, Hyderabad – 500088, A.P., India.,
-3Asst. Professor, Dept. Of CSE, Anurag Group of Institutions, Hyderabad – 500088, A.P., India."

 683260bf133c282439b91ac4427d42d73a5988b5,"Optimizing Program Performance via Similarity, Using Feature-aware and Feature-agnostic Characterization Approaches","UNIVERSITY OF CALIFORNIA,
 IRVINE
 Optimizing Program Performance via Similarity,
@@ -22605,44 +19249,6 @@ Danielle Bons & Egon van den Broek & Floor Scheepers &
 Pierre Herpers & Nanda Rommelse & Jan K. Buitelaaar
 Published online: 25 October 2012
 # Springer Science+Business Media New York 2012"

-6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,"Foreground Object Segmentation with Objectness
-Measure
-Junguang Zhu1
-National Digital Switching System Engineering & Technological Research Center
-Zhengzhou, 450002,China
-E-mail:
-lixin Ji2
-National Digital Switching System Engineering & Technological Research Center
-Zhengzhou, 450002, China
-E-mail:
-hengqiu xiao3
-Troop 75753, People's Liberation Army
-Guangzhou, 510600, China
-E-mail:
-This   paper   proposes   a   novel   model   to   address   the   problem   of   image   segmentation   with
-objectness measure. Recently, many objectness measures are proposed, which aims to generate
-andidate windows to localize the possible objects in the image. Consider to combine this useful
-object location piror into a foreground segment model. Specifically, a Conditional Random Filed
-model is constructed on superpixels graph, and it efficiently incorporates objectness measure,
-olor distribution and appearance similarity. Expermental results on a extended GrabCut dataset"

-680402e42c874c14a32146865d985588985744a4,DETECTION AND TRACKING OF MULTIPLE HUMANS IN HIGH-DENSITY CROWDS,"DETECTION AND TRACKING OF MULTIPLE HUMANS IN
-HIGH-DENSITY CROWDS
-Irshad Ali
-A research study submitted in partial fulfillment of the requirements for the
-degree of Master of Engineering in
-Computer Science
-Examination Committee: Dr. Matthew N. Dailey (Chairperson)
-Dr. Manukid Parnichkun (Member)
-Dr. Nitin V. Afzulpurkar (Member)
-Nationality: Pakistani
-Previous Degree: Bachelor of Science in Computer Engineering
-Samara State Technical University, Russia
-Scholarship Donor: Higher Education Commission (HEC), Pakistan - AIT
-Fellowship
-Asian Institute of Technology
-School of Engineering and Technology
-Thailand
-May 2009"

 68df1f746a3434ee8bcc8918d46809ddaad38b12,Subspace learning in minimax detection,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
 978-1-4799-2893-4/14/$31.00 ©2014 IEEE
 Email: {raja.fazliza, david.mary,
@@ -22653,18 +19259,6 @@ Laboratoire J.-L. Lagrange, UMR7293,
 . INTRODUCTION AND PRIOR WORKS
 (cid:26) H0"

 68caf5d8ef325d7ea669f3fb76eac58e0170fff0,Long-term face tracking in the wild using deep learning,

-68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,"ISSN: 0976-9102 (ONLINE)
-DOI: 10.21917/ijivp.2013.0101
-ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, NOVEMBER 2013, VOLUME: 04, ISSUE: 02
-FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE
-PRIMITIVES FOR EFFICIENT FACE RECOGNITION
-P. Chandra Sekhar Reddy1, B. Eswara Reddy2 and V. Vijaya Kumar3
-Deprtment of Computer Science and Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, India
-E-Mail:
-Deprtment of Computer Science and Engineering, JNTUA College of Engineering, India
-Deprtment of Computer Science and Engineering, Anurag Group of Institutions, India
-E-mail:
-E-mail:"

 68d4056765c27fbcac233794857b7f5b8a6a82bf,Example-Based Face Shape Recovery Using the Zenith Angle of the Surface Normal,"Example-Based Face Shape Recovery Using the
 Zenith Angle of the Surface Normal
 Mario Castel´an1, Ana J. Almaz´an-Delf´ın2, Marco I. Ram´ırez-Sosa-Mor´an3,
@@ -22673,25 +19267,6 @@ CINVESTAV Campus Saltillo, Ramos Arizpe 25900, Coahuila, M´exico
 Universidad Veracruzana, Facultad de F´ısica e Inteligencia Artificial, Xalapa 91000,
 ITESM, Campus Saltillo, Saltillo 25270, Coahuila, M´exico
 Veracruz, M´exico"

-684f5166d8147b59d9e0938d627beff8c9d208dd,Discriminative Block-Diagonal Representation Learning for Image Recognition,"IEEE TRANS. NNLS, JUNE 2017
-Discriminative Block-Diagonal Representation
-Learning for Image Recognition
-Zheng Zhang, Yong Xu, Senior Member, IEEE, Ling Shao, Senior Member, IEEE, Jian Yang, Member, IEEE"

-68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,"Article
-Capturing Complex 3D Human Motions with
-Kernelized Low-Rank Representation from
-Monocular RGB Camera
-Xuan Wang 1,2,3,4, Fei Wang 1,2,3,4,* and Yanan Chen 1,2,3,4
-The Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, No.28 Xianning West Road,
-Xi’an 710048, China; (X.W.); (Y.C.)
-The School of Software Engineering, Xi’an Jiaotong University, No.28 Xianning West Road,
-Xi’an 710048, China
-National Engineering Laboratory for Visual Information Processing and Application, Xi’an Jiaotong
-University, No.28 Xianning West Road, Xi’an 710048, China
-Shaanxi Digital Technology and Intelligent System Key Laboratory, Xi’an Jiaotong University, No.28
-Xianning West Road, Xi’an 710048, China
-* Correspondence:
-Received: 5 July 2017; Accepted: 24 August 2017; Published: 3 September 2017"

 683fbd7593cf5c22ef54004bb89c469eab2f656e,URJC&UNED at ImageCLEF 2013 Photo Annotation Task,"URJCyUNED at ImageCLEF 2012 Photo
 Annotation task⋆
 Jes´us S´anchez-Oro1, Soto Montalvo1, Antonio S. Montemayor1, Ra´ul Cabido1,
@@ -22886,21 +19461,10 @@ Multi-Speaker Spontaneous Conversations – EVA Corpus
 IZIDOR MLAKAR, ZDRAVKO KAČIČ, MATEJ ROJC
 Faculty of Electrical Engineering and Computer Science, University of Maribor
 SLOVENIA"

-c95ad088c9d96c7e94428b7e90ea8bf547cd9e42,Human Identification using Face and Voice Recognition,", 2 Department of Electronics & Telecommunication Engineering, Sant Gadge Baba Amravati University, Amravati,
-Ishwar S. Jadhav, 2V. T. Gaikwad, 3Gajanan U. Patil
-Department of Electronics & Communication Engineering, North Maharashtra University, Jalgaon,
-Recognition
-Maharashtra, India
-Maharashtra, India
-Human Identification using Face and Voice"

 c93996cb126589b30c04bf1256c97a4431c0e8b6,Robustness Analysis of Pedestrian Detectors for Surveillance,"Robustness Analysis of Pedestrian Detectors
 for Surveillance
 Yuming Fang, Senior Memmber, IEEE, Guanqun Ding, Yuan Yuan, Weisi Lin, Fellow, IEEE,
 nd Haiwen Liu, Senior Memmber, IEEE"

-c97cd49536fcec5b50962eaf4658a973cd85bba0,Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning,"Semantic Segmentation of 3D LiDAR Data in
-Dynamic Scene Using Semi-supervised Learning
-Jilin Mei, Member, IEEE, Biao Gao, Member, IEEE, Donghao Xu, Member, IEEE, Wen Yao, Member, IEEE,
-Xijun Zhao, Member, IEEE, and Huijing Zhao, Member, IEEE,"

 c924137ca87e8b4e1557465405744f8b639b16fc,Seeding Deep Learning using Wireless Localization,"ADDRESSING TRAINING BIAS VIA AUTOMATED IMAGE ANNOTATION
 Zhujun Xiao 1 Yanzi Zhu 2 Yuxin Chen 1 Ben Y. Zhao 1 Junchen Jiang 1 Haitao Zheng 1"

 c91103e6612fa7e664ccbc3ed1b0b5deac865b02,Automatic facial expression recognition using statistical-like moments,"Automatic facial expression recognition using
@@ -22933,16 +19497,6 @@ Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Compu
 c90b109301244e59771fec431a8d50a78e395956,Alternative face models for 3 D face registration,"Alternative face models for 3D face registration
 Albert Ali Salah, Ne¸se Aly¨uz, Lale Akarun
 Bo˘gazi¸ci University, 34342 Bebek, ˙Istanbul, Turkey"

-c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Face and Expression Recognition Using Local
-Directional Number Pattern
-Gopu Prasoona1, Dasu Vaman Ravi Prasad2
-Computer Science, CVSR College of Engineering, Venkatapur, RR dist, India
-Computer Science and Engineering, CVSR College of Engineering, Venkatapur, RR dist, India
-refers
-to digital"

 c9bbf31afbec278ca735e91cf5e9c70dd3aa41a4,Enhancing 3D Face Recognition By Mimics Segmentation,"Enhancing 3D Face Recognition By Mimics Segmentation
 Boulbaba Ben Amor, Mohsen Ardabilian, and Liming Chen
 MI Department, LIRIS Laboratory, CNRS 5205
@@ -23110,11 +19664,6 @@ lished or not. The documents may come from
 teaching and research institutions in France or
 broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est"

-e8b2a98f87b7b2593b4a046464c1ec63bfd13b51,CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection,"CMS-RCNN: Contextual Multi-Scale
-Region-based CNN for Unconstrained Face
-Detection
-Chenchen Zhu*, Student, IEEE, Yutong Zheng*, Student, IEEE,
-Khoa Luu, Member, IEEE, Marios Savvides, Senior Member, IEEE"

 e819a577c57c83a133a0a0e81180d14dc13b82e9,Pyramid Histogram of Oriented Gradients based Human Ear Identification,"Pyramid Histogram of Oriented Gradients based Human Ear Identification
 Pyramid Histogram of Oriented Gradients based Human
 Ear Identification
@@ -23128,26 +19677,6 @@ Gaithersburg, Md. 20899-8940
 Elaine M. Newton
 01 N. Craig St., Suite 102
 Pittsburgh, Pa. 15213"

-e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,"International Research Journal of Engineering and Technology (IRJET)      e-ISSN: 2395 -0056
-Volume: 04 Issue: 04 | Apr -2017                     www.irjet.net                                                                p-ISSN: 2395-0072
-A Survey on Gaze Estimation Techniques in Smartphone
-Akshay A Gawande1, Prof.Gangotri Nathaney2
-M.Tech Scholar, CSE Department, WCOEM, Nagpur, India1
-Assistant Professor, CSE Department, WCOEM, Nagpur, India2
-image  dataset
-interest.  Many  of
-field  mobile  technology  and  digital
-The  goal  of  this  system  to  get  correct  gaze  point  with
-minimum  of  error  rate  and  allow  handicap  people  to
-operate  mobile  easily  by  eyes  .The  proposed  system
-onsist  of  collecting  some  steps  as:  Collecting  people
-different  position  eye
-,preprocessing,
-feature  extraction,  regression.  This  paper  is  organized  as
-follows:  Section  2  comprises  Previous  Work;  section  3
-omprises Methodology and Conclusion is in section 4.
----------------------------------------------------------------------***---------------------------------------------------------------------
-use  eye  trackers  to  identify  what  customer's  gaze  is"

 e8acbe49ecf7e0a77f4f5874674ac40b1e35bf8a,EXPERIMENTAL EVALUATION OF TEXT-INDEPENDENT SPEAKER VERIFICATION ON LABORATORY AND FIELD TEST DATABASES IN THE M2VTS PROJECT,"EXPERIMENTAL EVALUATION OF TEXT-INDEPENDENT
 SPEAKER VERIFICATION ON LABORATORY AND FIELD
 TEST DATABASES IN THE M2VTS PROJECT
@@ -23195,14 +19724,6 @@ nd J.J. Villanueva
 Signal Theory and Communications Department, University of Vigo, Spain
 Centre de Visio per Computador, Universitat Autonoma de Barcelona, Spain
 Digital Pointer MVT"

-e85b6f50b14014ee4a9212de4716031e21e92a89,Multiple Sensor Fusion for Moving Object Detection and Tracking,"International Research Journal of Engineering and Technology (IRJET)      e-ISSN: 2395-0056
-Volume: 04 Issue: 07 | July -2017                     www.irjet.net                                                                p-ISSN: 2395-0072
-Multiple Sensor Fusion  for Moving Object Detection and Tracking
-Khan Rabiya Yunus1, Prof : M. A. Mechkul2
-,2 Dept. Of Electronics and Telecommunication, SNJB’s COE, Chandwad, Maharashtra, India
-type  of  sensors  can
-improve
----------------------------------------------------------------------***--------------------------------------------------------------------"

 e8867f819f39c1838bba7d446934258035d4101c,Face recognition performance with superresolution.,"Face recognition performance with superresolution
 Shuowen Hu,1,* Robert Maschal,1 S. Susan Young,1 Tsai Hong Hong,2
 nd P. Jonathon Phillips2
@@ -23223,18 +19744,6 @@ perimental setup consistent with real world settings at multiple subject-to-came
 that superresolution image reconstruction improves face recognition performance considerably at the
 examined midrange and close range.
 OCIS codes:"

-e8d1d2a61c5a259440ef9fcd301093b43e87efa1,Periocular Biometrics in the Visible Spectrum,"Periocular Biometrics in the Visible Spectrum
-Unsang Park, Member, IEEE, Raghavender Reddy Jillela, Student Member, IEEE, Arun Ross, Senior Member, IEEE,
-nd Anil K. Jain, Fellow, IEEE"

-e8d2d991dcfb12b287ab06d282a86802e565780c,Inducing Behavior Change in Children with Autism Spectrum Disorders by Monitoring their Attention,"Inducing behavior change in children with autism spectrum disorders by
-monitoring their attention
-Margarida Lucas da Silva12, Hugo Silva3 and Daniel Gonc¸alves12
-Instituto Superior T´ecnico, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal
-INESC-ID, R. Alves Redol, 9, 1000-029 Lisboa, Portugal
-Instituto de Telecomunicac¸ ˜oes, Instituto Superior T´ecnico, Av. Rovisco Pais, 1, Torre Norte - Piso 10, 1049-001, Lisboa,
-Portugal
-Keywords:
-Human Behavior Analysis, Autism Spectrum Disorders, Inducing Behavior Change."

 e8ffef3d4d74720e766e506e175e533bdc8ee705,Object Detection Networks on Convolutional Feature Maps,"Object Detection Networks on
 Convolutional Feature Maps
 Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, and Jian Sun"

@@ -23244,20 +19753,6 @@ Face Recognition using Neural Network
 nd Eigenvalues with Distinct Block
 Processing
 Prashant Sharma, Amil Aneja, Amit Kumar, Dr.Shishir Kumar"

-e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System Ms .,"Pritika V.Mamankar et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 387-394
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-IJCSMC, Vol. 4, Issue. 4, April 2015, pg.387 – 394
-RESEARCH ARTICLE
-ISSN 2320–088X
-Design And Implementation Of Multiposes Face
-Recognization System
-Ms. Pritika V.Mamankar
-Master of Engineering Scholar, Information Technology Department, Sipna College of Engg. and Technology, Amravati, India
-Assistant Professor of CSE Department, Computer Science and Engineering Department, Sipna College of Engg. and
-Prof. H R. Vyawahare
-Technology, Amravati, India"

 e80635b9b48df5ad263c51ecec62d7d4bd7327fd,"Playful Robot for Research , Therapy , and Entertainment","Int J Soc Robot (2009) 1: 3–18
 DOI 10.1007/s12369-008-0009-8
 O R I G I N A L PA P E R
@@ -23267,17 +19762,6 @@ Hideki Kozima · Marek P. Michalowski ·
 Cocoro Nakagawa
 Accepted: 28 October 2008 / Published online: 19 November 2008
 © Springer 2008"

-e849b9b3e65130712e23afb872ac925e1e9a6b73,"Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds","Journal of Machine Learning Research x (2012) xxx
-Submitted xx/xx; Published xx/xx
-Image denoising with multi-layer perceptrons, part 1:
-omparison with existing algorithms and with bounds
-Harold Christopher Burger
-Christian J. Schuler
-Stefan Harmeling
-Max Planck Institute for Intelligent Systems
-Spemannstr. 38
-72076 T¨ubingen, Germany
-Editor:"

 e81705e6100759b75eb71839ea61abc257b0b6a9,Enhanced Spatial Pyramid Matching Using Log-Polar-Based Image Subdivision and Representation,"Enhanced Spatial Pyramid Matching Using Log-Polar-Based Image Subdivision
 nd Representation
 Edmond Zhang, Michael Mayo
@@ -23356,14 +19840,6 @@ lines and curves in pictures,” Commun. ACM, vol. 15, no. 1, pp. 11–15,
 Jan. 1972.
 [12] F. O’Gorman and M. B. Clowes, “Finding picture edges through collinear-
 ity of feature points,” IEEE Trans. Comput., vol. C-25, no. 4, pp. 449–454,"

-e819d8ec94ff9b07f81bcfcf6eb66301aa271805,OPTIMISED BLURRED OBJECT TRACKING USING ANFIS,"VOL. 11, NO. 13, JULY 2016                                                                                                                   ISSN 1819-6608
-ARPN Journal of Engineering and Applied Sciences
-©2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.
-www.arpnjournals.com
-OPTIMISED BLURRED OBJECT TRACKING USING ANFIS
-Department of Electronics and Communication, Sathyabama University, Chennai, India
-S. Rajaprabha and M. Sugadev
-E-Mail:"

 e8e8f40ceff8b71d5dafa6b680d40690dfae940c,title : Guidelines for studying developmental prosopagnosia in adults and children,"Article	type:		Focus	Article
 Article	title:	Guidelines	for	studying	developmental	prosopagnosia	in	adults
 nd	children
@@ -23387,14 +19863,6 @@ Hartwig Adam
 George Papandreou
 Jonathon Shlens
 Google Inc."

-e8d1b134d48eb0928bc999923a4e092537e106f6,Weighted Multi-region Convolutional Neural Network for Action Recognition with Low-latency Online Prediction,"WEIGHTED MULTI-REGION CONVOLUTIONAL NEURAL NETWORK FOR ACTION
-RECOGNITION WITH LOW-LATENCY ONLINE PREDICTION
-Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63)
-(cid:63)University of Science and Technology of China, Hefei, Anhui, China
-HERE Technologies, Chicago, Illinois, USA"

-e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836,"Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos","Restoring Degraded Face Images: A Case Study in
-Matching Faxed, Printed, and Scanned Photos
-Thirimachos Bourlai, Member, IEEE, Arun Ross, Senior Member, IEEE, and Anil K. Jain, Fellow, IEEE"

 2a7b7de7488211471a001044a3a249a117af488a,Physical Attribute Prediction Using Deep Residual Neural Networks,"Physical Attribute Prediction Using Deep Residual
 Neural Networks
 st Rashidedin Jahandideh
@@ -23415,10 +19883,6 @@ Jun-Yang Huang1 Shih-Chung Hsu1and Chung-Lin Huang1,2
 .  Department Of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan
 .  Department of Applied Informatics and Multimedia, Asia Univeristy, Tai-Chung, Taiwan.
 Email:"

-2ad0ee93d029e790ebb50574f403a09854b65b7e,Acquiring linear subspaces for face recognition under variable lighting,"Acquiring Linear Subspaces for Face
-Recognition under Variable Lighting
-Kuang-Chih Lee, Student Member, IEEE, Jeffrey Ho, Member, IEEE, and
-David Kriegman, Senior Member, IEEE"

 2ad2af8e3bdeb0302de07defc3fec9b387414a27,Don ' t Look Back : Post-hoc Category Detection via Sparse Reconstruction,"Don't Look Back: Post-hoc Category Detection via
 Sparse Reconstruction
 Hyun Oh Song
@@ -23445,26 +19909,6 @@ Interaction and Language (ViGIL), December 2017."
 Anonymous Author 1
 Anonymous Author 2
 Anonymous Author 3"

-2a6327a8bdbd31e2c08863b96c4f09245db8cab7,Targets ' facial width-to-height ratio biases pain judgments ☆,"Journal of Experimental Social Psychology 74 (2018) 56–64
-Contents lists available at ScienceDirect
-Journal of Experimental Social Psychology
-journal homepage: www.elsevier.com/locate/jesp
-Targets' facial width-to-height ratio biases pain judgments☆
-Jason C. Deska⁎, Kurt Hugenberg
-Miami University, 501 East High Street, Oxford, OH 45056, United States
-A R T I C L E I N F O
-A B S T R A C T
-Keywords:
-Facial width-to-height ratio
-Pain judgments
-Pain perception
-The accurate perception of others' pain is important for both perceivers and targets. Yet, like other person
-perception judgments, pain judgments are prone to biases. Although past work has begun detailing character-
-istics of targets that can bias pain judgments (e.g., race, gender), the current work examines a novel source of
-ias inherent to all targets: structural characteristics of the human face. Specifically, we present four studies
-demonstrating that facial width-to-height ratio, a stable feature of all faces, biases pain judgments. Compared to
-those with low facial width-to-height ratio, individuals with high facial width-to-height ratio are perceived as
-experiencing less pain in otherwise identical situations (Studies 1, 2, & 3), and as needing less pain medication to"

 2a6c7d5aa087233ff8a09bdaa34d5f76f3330a4f,A Survey of Efficient Regression of General-Activity Human Poses from Depth Images,"A Survey of Efficient Regression of General-Activity Hu-
 man Poses from Depth Images
 Wenye He
@@ -23493,9 +19937,6 @@ Samira Ebrahimi Kahou1, Christopher Pal1, Xavier Bouthillier2, Pierre Froumenty1
 Laboratoire d’Informatique des Systèmes Adaptatifs, Université de Montréal, Montréal, Canada
 {samira.ebrahimi-kahou, christopher.pal,
 {bouthilx, gulcehrc, memisevr, vincentp, courvila,"

-2a3227f54286d8a36736663781f194167f2b6582,Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets,"Nonlinear Dimensionality Reduction for
-Discriminative Analytics of Multiple Datasets
-Jia Chen, Gang Wang, Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE"

 2a218c17944d72bfdc7f078f0337cab67536e501,Detection bank: an object detection based video representation for multimedia event recognition,"Detection Bank: An Object Detection Based Video
 Representation for Multimedia Event Recognition
 Tim Althoff, Hyun Oh Song, Trevor Darrell
@@ -23560,26 +20001,6 @@ Facial Scans
 Maxim Bazik1 and Daniel Crispell2"

 2a067874fc1ec318b6d23f34bdb13ea4e95d5ca6,An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data,"New Orleans, Louisiana, June 1 - 6, 2018. c(cid:13)2018 Association for Computational Linguistics
 Proceedings of NAACL-HLT 2018, pages 758–763"

-2a12c72b0328a23b0d7ea63db1f93abf3054beec,Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety,"IEICE TRANS. ??, VOL.Exx–??, NO.xx XXXX 200x
-PAPER
-Extended Feature Descriptor and Vehicle Motion Model with
-Tracking-by-detection for Pedestrian Active Safety
-Hirokatsu KATAOKAy;yya), Kimimasa TAMURAy, Nonmembers, Kenji IWATAyyy, Yutaka SATOHyyy, Members,
-Yasuhiro MATSUIyyyy, Nonmember, and Yoshimitsu AOKIy, Member
-SUMMARY
-The percentage of pedestrian deaths in traf‌f‌ic accidents is
-on the rise in Japan. In recent years, there have been calls for measures
-to be introduced to protect vulnerable road users such as pedestrians and
-yclists. In this study, a method to detect and track pedestrians using an
-in-vehicle camera is presented. We improve the technology of detecting
-pedestrians by using the highly accurate images obtained with a monocular
-amera. In the detection step, we employ ECoHOG as the feature descrip-
-tor; it accumulates the integrated gradient intensities. In the tracking step,
-we apply an effective motion model using optical flow and the proposed
-feature descriptor ECoHOG in a tracking-by-detection framework. These
-techniques were verified using images captured on real roads.
-key words: Pedestrian Active Safety, Tracking-by-detection, ECoHOG,
-Particle Filter, Vehicle Motion Model"

 2a1d3e1baf323e61da517a054b9571559815a651,Temporal normalization of videos using visual speech,"Temporal Normalization of Videos Using Visual Speech
 Usman Saeed
 EURECOM Sophia Antipolis
@@ -23616,29 +20037,12 @@ S.S.114 Km 6,400, 98128 Messina, Italy"
 2a08147bf88041c6e0354e26762b4e4d65d5163f,Trimmed Event Recognition ( Moments in Time ) : Submission to ActivityNet Challenge 2018,"Trimmed Event Recognition (Moments in Time):
 Submission to ActivityNet Challenge 2018
 Dongyang Cai"

-2a40917ef436000b22bc7c6f35400440ef673d36,Learning clustered sub-spaces for sketch-based image retrieval,"Learning Clustered Sub-spaces for Sketch-based Image Retrieval
-Koustav Ghosal Ameya Prabhu
-Riddhiman Dasgupta
-koustav.ghosal∗
-meya.prabhu∗
-riddhiman.dasgupta∗
-Anoop M Namboodiri
-noop†
-Centre for Visual Information Technology, IIIT-Hyderabad, India"

-2ac31bc7a4dd0256166208dcc8d5dfa99347117e,A Window-Based Classifier for Automatic Video-Based Reidentification,"A Window-Based Classifier for Automatic
-Video-Based Reidentification
-Dario Figueira, Matteo Taiana, Jacinto C. Nascimento, Member, IEEE, and Alexandre Bernardino, Member, IEEE"

 2a06341b40b3fd27483b2a8d8cbf86fddf45e423,Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques,"Automatic generation of ground truth for the evaluation of obstacle detection
 nd tracking techniques
 Hatem Hajri∗, Emmanuel Doucet∗†, Marc Revilloud∗, Lynda Halit∗, Benoit Lusetti∗,
 Mohamed-Cherif Rahal∗
 Automated Driving Research Team, Institut VEDECOM, Versailles, France
 InnoCoRe Team, Valeo, Bobigny, France"

-2a86bcdfb1d817ddb76ba202319f8267a36c0f62,PCL: Proposal Cluster Learning for Weakly Supervised Object Detection,"JOURNAL OF LATEX CLASS FILES
-PCL: Proposal Cluster Learning for Weakly
-Supervised Object Detection
-Peng Tang, Xinggang Wang, Member, IEEE, Song Bai, Wei Shen, Xiang Bai, Senior Member, IEEE,
-Wenyu Liu, Senior Member, IEEE, and Alan Yuille, Fellow, IEEE"

 2a1deffc67ccb5f8ca5897ac3f31dac09af70f05,Robust Subspace Clustering via Tighter Rank Approximation,"Robust Subspace Clustering via Tighter Rank
 Approximation
 Zhao Kang
@@ -23681,12 +20085,6 @@ Localization And Mapping: Towards the
 Robust-Perception Age
 Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif,
 Davide Scaramuzza, Jos´e Neira, Ian Reid, John J. Leonard"

-2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2017.2775524, IEEE
-Transactions on Circuits and Systems for Video Technology
-A Dataset for Airborne Maritime Surveillance
-Environments
-Ricardo Ribeiro, Member, IEEE, Gonc¸alo Cruz, Jorge Matos, Student, IST,
-nd Alexandre Bernardino, Member, IEEE,"

 2a5efa83ea5c4733757b838b84ba6519f873b826,A Continuous Learning for Solving a Face Recognition Problem,"International Journal of Computer Information Systems and Industrial Management Applications.
 ISSN 2150-7988 Volume 4 (2012) pp. 570-577
 © MIR Labs, www.mirlabs.net/ijcisim/index.html
@@ -23717,26 +20115,6 @@ Audience Attention Towards Pervasive Displays
 Florian Alta, Andreas Bullingb, Lukas Meckea, Daniel Buscheka
 LMU Munich
 Munich, Germany"

-ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,"Angry Crowds:
-Detecting Violent Events in Videos
-Sadegh Mohammadi1, Alessandro Perina1,2, Hamed Kiani1, Vittorio Murino1,3
-Pattern Analysis and Computer Vision (PAVIS),
-Istituto Italiano di Tecnologia, Genova, Italy
-Microsoft Corp,
-WDG Core Data Science, Redmond
-Dept. of Computer Science,
-University of Verona, Italy
-As supplementary material, we selected a few testing video clips from Vio-
-lence in crowds (VIC) [1] dataset to illustrate the effectiveness of the proposed
-Aggression Force compared to the Interaction Force (SFM) [2] and Optical Flow
-for the task of violent detection in video sequences. The scenarios depicted in
-the attached video are captured under very challenging situations including low
-image quality, cluttered background, densely crowded scenes, camera motion,
-occlusions, large scale/illumination variations.
-The qualitative results in video format can be seen in ”video.avi”, highlight-
-ing two major advantages of Aggression Force compared to Social Force and
-Optical Flowing.
-Firstly, the SFM and Optical Flow are very sensitive to footages captured"

 cef6cffd7ad15e7fa5632269ef154d32eaf057af,Emotion Detection Through Facial Feature Recognition,"Emotion Detection Through Facial Feature
 Recognition
 James Pao
@@ -23872,10 +20250,6 @@ Department of Computer Science [1], Department of Science [2], Department of Ele
 OPEN  ACCESS
 Mahatma Gandhi University
 Kerala - India"

-ce85d953086294d989c09ae5c41af795d098d5b2,Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-Bilinear Analysis for Kernel Selection and
-Nonlinear Feature Extraction
-Shu Yang, Shuicheng Yan, Member, IEEE, Chao Zhang, and Xiaoou Tang, Senior Member, IEEE"

 ce13aaf9ab0d3ec3dd9637b2dd5122b4aa711fd7,Local Feature-based Person Re-Identification in Video,"UNIVERSITÄT KARLSRUHE (TH)
 FAKULTÄT FÜR INFORMATIK
 INSTITUT FÜR ANTHROPOMATIK
@@ -23979,34 +20353,12 @@ Youtube-8M Video Understanding
 Fu Li, Chuang Gan, Xiao Liu, Yunlong Bian, Xiang Long, Yandong Li, Zhichao Li, Jie Zhou, Shilei Wen
 Baidu IDL & Tsinghua University"

 cefd107b19201cd9f403e2f9332c690e81f770b5,A Survey on Databases for Facial Expression Analysis,

-ceb02a8f874c84ece88fcc7be1530a581b1cd1b0,A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment,"A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter
-Environment
-Olyvia Kundua, Swagat Kumara,∗
-TATA Consultancy Services, Bangalore, India 560066"

-ce54dd2b0c6c75208ac77420233419066dd0117f,ISSN 2348-375 X EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH,"Geetha et al. UJEAS 2014, 02 (01): Page 77-78
-ISSN 2348-375X
-Unique Journal of Engineering and Advanced Sciences
-Available online: www.ujconline.net
-Research Article
-EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH
-Geetha Prem P1*, Manikandaprabu N2, Dhivya P3, Deepa A4
-PG Scholar, AVS Engineering College, TN, India
-Lecturer, Senthur Polytechnic College, TN, India
-Asso. Prof/ECE, AVS Engineering College, Salem
-ME (Communication Systems), Sona College of Technology, Salem
-Received: 28-12-2013; Revised: 24-01-2014; Accepted: 20-02-2014
-*Corresponding Author: P. Prem Geetha, PG Scholar, AVS Engineering College, TN, India Email:"

 ced61099a0306d555486162670f1213f2c72b020,Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters,"Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters
 Wenhao Ding, Wenshuo Wang, and Ding Zhao"

 ceedb191328ac4d968853b948a32b5689c2ac2a2,Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 41, NO. 3, JUNE 2011
 Semisupervised Dimensionality Reduction and
 Classification Through Virtual Label Regression
 Feiping Nie, Dong Xu, Xuelong Li, Senior Member, IEEE, and Shiming Xiang"

-ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,"Eigen-Harmonics Faces: Face Recognition under Generic Lighting
-Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2
-Graduate School, CAS, Beijing, China, 100080
-ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing, China, 100080
-Emails: {lyqing, sgshan, wgao}jdl.ac.cn"

 cebfafea92ed51b74a8d27c730efdacd65572c40,Matching 2.5D face scans to 3D models,"JANUARY 2006
 Matching 2.5D Face Scans to 3D Models
 Xiaoguang Lu, Student Member, IEEE, Anil K. Jain, Fellow, IEEE, and
@@ -24019,14 +20371,6 @@ Review on Computer Vision Techniques in Emergency Situations
 Laura Lopez-Fuentes · Joost van de Weijer · Manuel Gonz´alez-Hidalgo · Harald
 Skinnemoen · Andrew D. Bagdanov
 Received: date / Accepted: date"

-fcc76b1762dbeb49cbfa30ca66bd405e015ca331,Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics,"Training-Free Synthesized Face Sketch Recognition
-Using Image Quality Assessment Metrics
-Nannan Wang, Member, IEEE, Jie Li, Leiyu Sun, Bin Song, and Xinbo Gao, Senior Member, IEEE"

-fc6256156fbfdb21221c0aed2719f2b420e9d3b4,Pattern Recognition with Localized Gabor Wavelet Grids,"Pattern Recognition with Localized Gabor Wavelet Grids
-Vinay Kumar B
-Subex Azure Limited, Bangalore, India
-Sai Sharan D R
-Accenture, Bangalore, India"

 fc1e37fb16006b62848def92a51434fc74a2431a,A Comprehensive Analysis of Deep Regression,"DRAFT
 A Comprehensive Analysis of Deep Regression
 St´ephane Lathuili`ere, Pablo Mesejo, Xavier Alameda-Pineda, Member IEEE, and Radu Horaud"

@@ -24066,26 +20410,6 @@ y Ef‌f‌icient Graph Partitioning
 Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat
 STARS Team, INRIA, Sophia Antipolis, France"

 fcb64ef4421cebb80eb33f62c7726f339eb2bb62,Deep View-Aware Metric Learning for Person Re-Identification,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

-fc64f43cdcf4898b15ddce8b441d2ab9daa324f0,GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE,"THE PUBLISHING HOUSE
-OF THE ROMANIAN ACADEMY
-PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A,
-Volume 11, Number 3/2010, pp. 277–283
-GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE
-Tudor BARBU
-Institute of Computer Science, Romanian Academy, Iaşi, Romania
-E-mail:
-We propose a novel human face recognition approach in this paper, based on two-dimensional Gabor
-filtering and supervised classification. The feature extraction technique proposed in this article uses
-D  Gabor  filter  banks  and  produces  robust  3D  face  feature  vectors.  A  supervised  classifier,  using
-minimum average distances, is developed for these vectors. The recognition process is completed by a
-threshold-based  face  verification  method,  also  provided.  A  high  facial  recognition  rate  is  obtained
-using  our  technique.  Some  experiments,  whose  satisfactory  results  prove  the  effectiveness  of  this
-recognition approach, are also described in the paper.
-Key words: Face recognition; Face identification; Feature vector; 2D Gabor filter; Supervised classification;
-Face verification.
-. INTRODUCTION
-This  article  approaches  an  important  biometric  domain,  which  is  human  face  recognition.  Face
-represents  a  physiological  biometric  identifier  that  is  widely  used  in  person  recognition.  During  the  past"

 fc068f7f8a3b2921ec4f3246e9b6c6015165df9a,Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline),"Beyond Part Models: Person Retrieval with Refined Part Pooling
 (and A Strong Convolutional Baseline)
 Yifan Sun†, Liang Zheng‡, Yi Yang‡, Qi Tian§, Shengjin Wang†∗
@@ -24173,10 +20497,6 @@ Charmin Asirimath, Jayampathy Ratnayake, and Chathuranga Weeraddana"
 fcc6fd9b243474cd96d5a7f4a974f0ef85e7ddf7,InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity,"Improving Face Attribute Detection with Race and Gender Diversity
 InclusiveFaceNet:
 Hee Jung Ryu 1 Hartwig Adam * 1 Margaret Mitchell * 1"

-fca6df7d36f449d48a8d1e48a78c860d52e3baf8,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,"Fine-Grained Age Estimation in the wild with
-Attention LSTM Networks
-Ke Zhang, Member, IEEE, Na Liu, Xingfang Yuan, Student Member, IEEE, Xinyao Guo, Ce Gao,
-nd Zhenbing Zhao Member, IEEE,"

 fc5fb5d0fb7c654e8fda140e5bc53f4f422a5d6e,Computationally Efficient Invariant Facial Expression Recognition,"Research Journal of Recent Sciences _________________________________________________ ISSN 2277-2502
 Vol. 3(2), 61-68, February (2014)
 Res.J.Recent Sci.
@@ -24321,11 +20641,6 @@ Received: 11.01.2013
 Accepted/Published Online: 09.11.2013
 (cid:15)
 Final Version: 01.01.2016"

-904b96d0691c62cacd1d9456e623ab24901763a0,Facade Segmentation in the Wild,"Facade Segmentation in the Wild
-John Femiani1 Wamiq Reyaz Para2 Niloy Mitra3
-Peter Wonka2
-Miami University1
-KAUST2"

 90443ec362dc553f29fbf824b4d13fd7f26f2a32,A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval,"A Vote-and-Verify Strategy for Fast Spatial
 Verification in Image Retrieval
 Johannes L. Sch¨onberger1(cid:63), True Price2(cid:63), Torsten Sattler1(cid:63),
@@ -24426,10 +20741,6 @@ Mauricio Villegas and Roberto Paredes
 Institut Tecnol`ogic d’Inform`atica
 Universitat Polit`ecnica de Val`encia
 Cam´ı de Vera s/n, 46022 Val`encia (Spain)"

-90863022d8593a70e574816e6a43f1fdab842e27,Two Dimensional Stochastic Configuration Networks for Image Data Analytics,"SUBMITTED TO IEEE TRANSACTIONS ON CYBERNETICS
-Two Dimensional Stochastic Configuration
-Networks for Image Data Analytics
-Ming Li, Member, IEEE, Dianhui Wang*, Senior Member, IEEE"

 9070045c1a9564a5f25b42f3facc7edf4c302483,Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker,"Everybody needs somebody: Modeling social and grouping behavior on a linear
 programming multiple people tracker
 Laura Leal-Taix´e, Gerard Pons-Moll and Bodo Rosenhahn
@@ -24449,24 +20760,6 @@ Kittikhun Meethongjan
 Department of Computer Graphic, Faculty of Computer
 Science & Information System, University Technology of
 Malaysia, 81310 Skudai, Johor, Malaysia. +60127204314"

-902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,"KAN et al.: SIDE-INFORMATION BASED LDA FOR FACE RECOGNITION
-Side-Information based Linear
-Discriminant Analysis for Face
-Recognition
-Meina Kan1,2,3
-Shiguang Shan1,2
-Dong Xu3
-Xilin Chen1,2
-Digital Media Research Center,
-Institute of Computing
-Technology, CAS, Beijing, China
-Key Laboratory of Intelligent
-Information Processing, Chinese
-Academy of Sciences, Beijing,
-China
-School of Computer Engineering,
-Nanyang Technological
-University, Singapore"

 902d1b14b076120cb21029b51ed8e63529fe686d,PERFORMANCE ANALYSIS FOR FACIAL EXPRESSION RECOGNITION UNDER SALT AND PEPPER NOISE WITH MEDIAN FILTER APPROACH,"PERFORMANCE ANALYSIS FOR FACIAL EXPRESSION
 RECOGNITION UNDER SALT AND PEPPER NOISE WITH
 MEDIAN FILTER APPROACH
@@ -24490,30 +20783,6 @@ Anonymous Author 3"
 Performance and Energy Modeling of
 Heterogeneous Many-core Architectures
 Rui Pedro Gaspar Pinheiro"

-903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Like at First Sight: Understanding User
-Engagement with the World of Microvideos
-Sagar Joglekar1(B), Nishanth Sastry1, and Miriam Redi2
-Kings College, London, UK
-Bell Labs, Cambridge, UK"

-90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,"Original Research Paper
-American Journal of Engineering and Applied Sciences
-Recognition of Faces using Efficient Multiscale Local Binary
-Pattern and Kernel Discriminant Analysis in Varying
-Environment
-Sujata G. Bhele and
-V.H. Mankar
-Department of Electronics Engg, Priyadarshini College of Engg, Nagpur, India
-Department of Electronics Engg, Government Polytechnic, Nagpur, India
-Article history
-Received: 20-06-2017
-Revised: 18-07-2017
-Accepted: 21-08-2017
-Corresponding Author:
-Sujata G. Bhele
-Department of Electronics
-Engg, Priyadarshini College of
-Engg, Nagpur, India
-Email:"

 90e36f66c25a4c73a252102c6c6c329c36d82676,Probably Unknown: Deep Inverse Sensor Modelling In Radar,"Probably Unknown: Deep Inverse Sensor Modelling Radar
 Rob Weston, Sarah Cen, Paul Newman and Ingmar Posner"

 9040fa6a62f6c185473f4043846de3aa7920624b,THERMAL IMAGING AS A BIOMETRICS APPROACH TO FACIAL SIGNATURE AUTHENTICATION 1,"October 2015, Volume 2, Issue 10
@@ -24541,13 +20810,6 @@ Problem using Total Variation
 Yvain Qu´eau1, Fran¸cois Lauze2, and Jean-Denis Durou1
 IRIT, UMR CNRS 5505, Toulouse, France
 Dept. of Computer Science, Univ. of Copenhagen, Denmark"

-90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,"StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
-Sanghyun Woo
-KAIST
-Soonmin Hwang
-KAIST
-In So Kweon
-KAIST"

 90c80317fa68784a3fe4fc3136bb188895b09fa4,Sparsity Invariant CNNs,"Sparsity Invariant CNNs
 Jonas Uhrig(cid:63),1,2 Nick Schneider(cid:63),1,3
 Lukas Schneider1,4
@@ -24585,10 +20847,6 @@ discuss multiple approaches we implemented to do the same.
 Background and Related work:"

 361367838ee5d9d5c9a77c69c1c56b1c309ab236,Salient Object Detection: A Survey,"Salient Object Detection: A Survey
 Ali Borji, Ming–Ming Cheng, Huaizu Jiang and Jia Li"

-36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958,RGB-D Face Recognition With Texture and Attribute Features,"RGB-D Face Recognition with Texture and
-Attribute Features
-Gaurav Goswami, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, and Richa Singh, Senior
-Member, IEEE"

 363913a335053c837d5fc279032d28c418dda1dc,ECE 533 – Image Processing Project Face Recognition Techniques,"ECE533 – Image Processing Project
 Face Recognition
 Techniques
@@ -24788,10 +21046,6 @@ Computer Vision Group
 Friedrich Schiller University Jena
 Germany
 www.inf-cv.uni-jena.de"

-36c91b1342c1357877e89b4c43f8eadb39755c0b,Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses,"Recognizing Human-Object Interactions in
-Still Images by Modeling the Mutual Context
-of Objects and Human Poses
-Bangpeng Yao, Member, IEEE, and Li Fei-Fei, Member, IEEE"

 362cfe79a6822f9e317555c5e3469dd038b9053f,Damped Gauss-Newton algorithm for nonnegative Tucker decomposition,"978-1-4577-0568-7/11/$26.00 ©2011 IEEE
 DY, An	, G (cid:2) (cid:12)Y 
 G  A	(cid:12)2
 DECOMPOSITION
@@ -24887,9 +21141,6 @@ Albert-Ludwigs-Universität Freiburg
 Department of Computer Science
 Computer Vision Group
 Supervisor: Prof. Dr. Thomas Brox"

-360a590703542f2ba345b432416398b6dad9e3fb,Multimodal Person Reidentification Using RGB-D Cameras,"Multi-modal Person Re-Identification
-Using RGB-D Cameras
-Federico Pala, Member, IEEE, Riccardo Satta, Giorgio Fumera, Member, IEEE, and Fabio Roli, Fellow, IEEE"

 36688a79cc8926f489ccb6e6dadba15afbb4b6a4,Linear discriminant analysis for the small sample size problem: an overview,"Int. J. Mach. Learn. & Cyber.
 DOI 10.1007/s13042-013-0226-9
 O R I G I N A L A R T I C L E
@@ -24952,14 +21203,6 @@ http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-53.html
 May 1, 2012"

 36918b2ef6b20ffb8cffe458c0067742500c6149,"""Look, some Green Circles!"": Learning to Quantify from Images","Proceedings of the 5th Workshop on Vision and Language, pages 75–79,
 Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

-36b27f74b9a7fe12cf6593cc8b73e764efce7dda,A Face ’ s Parent / Offspring Determination using Geometric Features and PCA : A Novel Approach,"A Face’s Parent/Offspring Determination
-using Geometric Features and PCA:
-A Novel Approach
-C. N. Ravi Kumar
-Anil Kumar
-Pramod G
-Dept. of CSE, SJCE
-Mysore, Karnataka, India"

 36119c10f75094e0568cae8256400c94546d973b,The CASIA NIR-VIS 2.0 Face Database,"The CASIA NIR-VIS 2.0 Face Database
 Stan Z. Li, Dong Yi, Zhen Lei and Shengcai Liao
 Center for Biometrics and Security Research & National Laboratory of Pattern Recognition
@@ -25054,12 +21297,6 @@ Carmel Sofer1,2, Ron Dotsch2,3, Daniel H. J. Wigboldus2, and
 Alexander Todorov1,2
 Department of Psychology, Princeton University; 2Behavioural Science Institute, Radboud University
 Nijmegen; and 3Department of Psychology, Utrecht University"

-73764fa9bed84ad2c932dc8089ace7fa8fa7c1d3,"Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo","Disparity Statistics for Pedestrian Detection:
-Combining Appearance, Motion and Stereo
-Stefan Walk1, Konrad Schindler1,2, and Bernt Schiele1,3
-Computer Science Department, TU Darmstadt
-Photogrammetry and Remote Sensing Group, ETH Z¨urich
-MPI Informatics, Saarbr¨ucken"

 73bbbfac7b144f835840fe7f7b5139283bf4f3f1,Do we spontaneously form stable trustworthiness impressions from facial appearance?,"ATTITUDES AND SOCIAL COGNITION
 Do We Spontaneously Form Stable Trustworthiness Impressions From
 Facial Appearance?
@@ -25086,11 +21323,6 @@ Transductive Zero-Shot Action Recognition by
 Word-Vector Embedding
 Xun Xu · Timothy Hospedales · Shaogang Gong
 Received: date / Accepted: date"

-7323b594d3a8508f809e276aa2d224c4e7ec5a80,An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-An Experimental Evaluation of Covariates
-Effects on Unconstrained Face Verification
-Boyu Lu, Student Member, IEEE, Jun-Cheng Chen, Member, IEEE, Carlos D Castillo, Member, IEEE
-nd Rama Chellappa, Fellow, IEEE"

 73be334ecc48751269443b0db2629086125e69f5,Robust Face Recognition under Difficult Lighting Conditions,"International Journal of Technological Exploration and Learning (IJTEL)
 Volume 1 Issue 1 (August 2012)
 Robust Face Recognition under Difficult Lighting
@@ -25176,26 +21408,6 @@ Link to published version
 http://dicta2010.conference.nicta.com.au/
 Griffith Research Online
 https://research-repository.griffith.edu.au"

-735c38361d77e707ac48f0d040493c65ca559d3c,Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques),"N°:  2009 ENAM XXXX
-École doctorale n° 84 :
-Sciences et technologies de l’information et de la communication
-Doctorat ParisTech
-T H È S E
-pour obtenir le grade de docteur délivré par
-l’École nationale supérieure des mines de Paris
-Spécialité “ Contrôle, optimisation et prospective ”
-présentée et soutenue publiquement par
-Ján MARGETA
-le 14 Décembre 2015
-Apprentissage automatique pour simplifier
-l’utilisation de banques d’images cardiaques
-Machine Learning for Simplifying
-the Use of Cardiac Image Databases
-Directeurs de thèse : Nicholas AYACHE et Antonio CRIMINISI
-M. Patrick CLARYSSE, DR, Creatis, CNRS, INSA Lyon
-M. Bjoern MENZE, Professeur, ImageBioComp Group, TU München
-M. Hervé DELINGETTE, DR, Asclepios Research Project, Inria Sophia Antipolis
-M. Antonio CRIMINISI, Chercheur principal, MLP Group, Microsoft Research Cambridge"

 73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c,Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings,"imagesViewpoint factorizationLearned landmarksFigure1.Wepresentanovelmethodthatcanlearnviewpointin-variantlandmarkswithoutanysupervision.Themethodusesaprocessofviewpointfactorizationwhichlearnsadeeplandmarkdetectorcompatiblewithimagedeformations.Itcanbeappliedtorigidanddeformableobjectsandobjectcategories.terns.Achievingadeeperunderstandingofobjectsrequiresmodelingtheirintrinsicviewpoint-independentstructure.Oftenthisstructureisdefinedmanuallybyspecifyingen-titiessuchaslandmarks,parts,andskeletons.Givensuffi-cientmanualannotations,itispossibletoteachdeepneuralnetworksandothermodelstorecognizesuchstructuresinimages.However,theproblemoflearningsuchstructureswithoutmanualsupervisionremainslargelyopen.Inthispaper,wecontributeanewapproachtolearnviewpoint-independentrepresentationsofobjectsfromim-ageswithoutmanualsupervision(fig.1).Weformulatethistaskasafactorizationproblem,wheretheeffectsofimagedeformations,forexamplearisingfromaviewpointchange,areexplainedbythemotionofareferenceframeattachedtotheobjectandindependentoftheviewpoint.Afterdescribingthegeneralprinciple(sec.3.1),wein-1"

 73866bdb723841da93b6ad93afe3d72817e2b377,Dense and Low-Rank Gaussian CRFs Using Deep Embeddings,"Dense and Low-Rank Gaussian CRFs Using Deep Embeddings
 Siddhartha Chandra1
@@ -25240,49 +21452,7 @@ utism spectrum disorders (ASD) and their
 first-degree relatives: a family study
 Olga V. Sysoeva1,2, John N. Constantino1*
 nd Andrey P. Anokhin1"

-735be89c989ab7819e2f640960a8895e79913e21,A Video-Based Door Monitoring System Using Local Appearance-Based Face Models,"International Journal for Research in Applied Science & Engineering Technology (IJRASET)
-ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor:6.887
-Volume 5 Issue X, October 2017- Available at www.ijraset.com
-A Video-Based Door Monitoring System Using
-Local Appearance-Based Face Models
-P.G. Student, Department of Electronics & Telecommunications, Zeal College Of Engineering,Pune,Maharashtra,India
-Assistant Professor, Department of Electronics & Telecommunications, Zeal College Of Engineering, Pune ,India
-Tejaswita Wakhure1, Prof.P.A.More2"

-73fa81d2b01c81c6ede71d046f9101440884e604,Fuzzy Based Texton Binary Shape Matrix ( FTBSM ) for Texture Classification,"Global Journal of Computer Science and Technology
-Graphics & Vision
-Volume 12 Issue 15 Version 1.0 Year 2012
-Type: Double Blind Peer Reviewed International Research Journal
-Publisher: Global Journals Inc. (USA)
-Online ISSN: 0975-4172 & Print ISSN: 0975-4350
-Fuzzy  Based  Texton  Binary  Shape  Matrix  (FTBSM)  for  Texture
-Classification
-By P.Chandra Sekhar Reddy & B.Eswara Reddy
-Jntua College of Engineering, Anantapur, A.P, India"

 3e08d000ba3dd382c16e4295435ef8264235ccbc,Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization,

-3e00dd86c084d8680409c65c1a48f1b3aa864eb7,Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks,"Deep Crisp Boundaries:
-From Boundaries to Higher-level Tasks
-Yupei Wang, Student Member, IEEE, Xin Zhao, Member, IEEE, Yin Li, Member, IEEE,
-nd Kaiqi Huang, Senior Member, IEEE"

-3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming 1,"FACIAL EXPRESSION RECOGNITION WITH LOCAL BINARY PATTERNS
-AND LINEAR PROGRAMMING
-Xiaoyi Feng1, 2, Matti Pietikäinen1, Abdenour Hadid1
-Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information Engineering
-P. O. Box 4500 Fin-90014 University of Oulu, Finland
-2 College of Electronics and Information, Northwestern Polytechnic University
-710072 Xi’an, China
-In  this  work,  we  propose  a  novel  approach  to  recognize  facial  expressions  from  static
-images. First, the Local Binary Patterns (LBP) are used to efficiently represent the facial
-images and then the Linear Programming (LP) technique is adopted to classify the seven
-facial  expressions  anger,  disgust,  fear,  happiness,  sadness,  surprise  and  neutral.
-Experimental results demonstrate an average recognition accuracy of 93.8% on the JAFFE
-database, which outperforms the rates of all other reported methods on the same database.
-Introduction
-Facial  expression  recognition  from  static
-images  is  a  more  challenging  problem
-than  from  image  sequences  because  less
-information  for  expression  actions
-vailable.  However,  information  in  a
-single  image  is  sometimes  enough  for"

 3ed186b4337f48e263ef60acffb49f16d5a85511,Discriminatively learned filter bank for acoustic features,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
 ICASSP 2016"

 3e2588aaa719c63e48fe599a7f0dbea10a41b4eb,Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge,"Using sparse semantic embeddings learned from multimodal text and
@@ -25300,12 +21470,6 @@ David Hall1,2, Feras Dayoub1,2, John Skinner1,2, Peter Corke1,2, Gustavo Carneir
 Australian Centre for Robotic Vision
 Queensland University of Technology (QUT), 3University of Adelaide
 {d20.hall, feras.dayoub, j6.skinner, peter.corke,"

-3e6fa6cf1fe2e23fdf7716f89b160333c7a93b26,A Performance Evaluation of Single and Multi-feature People Detection,"A Performance Evaluation of Single and
-Multi-Feature People Detection
-Christian Wojek, Bernt Schiele
-{wojek,
-Computer Science Department
-TU Darmstadt"

 3ec0d2c66ba2f00d90470c03969372e610986833,EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People,

 3ede3ed28329bf48fbd06438a69c4f855bef003f,Large-scale geo-facial image analysis,"Islam et al. EURASIP Journal on Image and Video Processing  (2015) 2015:17
 DOI 10.1186/s13640-015-0070-9
@@ -25322,15 +21486,6 @@ der Technischen Universit¨at Dortmund
 n der Fakult¨at f¨ur Informatik
 Fabian Naße
 Dortmund"

-3e51988542ced911184bce400a2a4af0b044396b,Face recognition system based on principal components analysis and distance measures,"International Journal of Engineering & Technology, 7 (2.21) (2018) 15-19
-International Journal of Engineering & Technology
-Website: www.sciencepubco.com/index.php/IJET
-Research paper
-Face recognition system based on principal components analysis
-nd distance measures
-T. Meenpal *, Aarti Goyal, Ankita Meenpal
-Department of Electronics and Telecommunication, National Institute of Technology, Raipur, Chhattisgarh, India
-*Corresponding author E-mail:"

 3e67058c6ddd0afae692b7665f82124945ea2c5a,On the Learning of Deep Local Features for Robust Face Spoofing Detection,"On the Learning of Deep Local Features for
 Robust Face Spoofing Detection
 Gustavo Botelho de Souza1, Jo˜ao Paulo Papa2 and Aparecido Nilceu Marana2 - in Proc. of SIBGRAPI 2018
@@ -25372,10 +21527,6 @@ Zihang Meng1, Nagesh Adluru1, Hyunwoo J. Kim1⋆,
 Glenn Fung2, and Vikas Singh1
 University of Wisconsin – Madison
 American Family Insurance"

-3e73e1e6530c17244a1bb4e4fa071b4a86757a47,Shape Classification Based on Skeletons,"Shape Classification Based on Skeletons
-Xiang Bai , Xingwei Yang , Deguang Yu  and Longin Jan Latecki2
-) HuaZhong University of Science and Technology, Wuhan, China
-) Temple University, Philadelphia, USA"

 3e4f84ce00027723bdfdb21156c9003168bc1c80,A co-training approach to automatic face recognition,"© EURASIP, 2011  -  ISSN 2076-1465
 9th European Signal Processing Conference (EUSIPCO 2011)
 INTRODUCTION"

@@ -25475,17 +21626,6 @@ y 14 sur. Puebla, Pue. C.P. 72570, México"
 3edf3a996790fef8957e21c68ddf48b52238e662,Product of tracking experts for visual tracking of surgical tools,"Product of Tracking Experts for Visual Tracking of Surgical Tools
 Suren Kumar, Madusudanan Sathia Narayanan, Pankaj Singhal, Jason J. Corso and Venkat Krovi
 State University of New York (SUNY) at Buffalo"

-3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,"Deep Neural Networks with Inexact Matching for
-Person Re-Identification
-Arulkumar Subramaniam
-Indian Institute of Technology Madras
-Chennai, India 600036
-Moitreya Chatterjee
-Indian Institute of Technology Madras
-Chennai, India 600036
-Anurag Mittal
-Indian Institute of Technology Madras
-Chennai, India 600036"

 3e4a54adb53d69984bb1e113eb1a8184be4abe99,Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models,"Person Authentication from Video of Faces: A
 Behavioral and Physiological Approach Using
 Pseudo Hierarchical Hidden Markov Models
@@ -25524,13 +21664,6 @@ Department of Technology
 College of Engineering and
 Technology
 Virginia State University"

-3ee425f59da3c8cb42bbfbc2c80122b767eece5e,A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION,"© May 2018  | IJIRT  | Volume  4 Issue  12 | ISSN:  2349-6002
-A NOVEL APPROACH FOR LEARNED
-REPRESENTATION  ON ROBUST FACE RECOGNITION
-Sk.Sharmila  1, Lakshma Nayak.M 2
-Pursuing M.Tech (CE&SP), Dept. of ECE, Loyola Institute of Technology and management, India
-Assistant Professor, Dept. of ECE, Loyola Institute of Technology, India
-techniques"

 3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b,Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs,"Deep Value Networks Learn to
 Evaluate and Iteratively Refine Structured Outputs
 Michael Gygli 1 * Mohammad Norouzi 2 Anelia Angelova 2"

@@ -25597,12 +21730,6 @@ Dilip K. Prasad1,∗, Deepu Rajan2, Lily Rachmawati3, Eshan Rajabally4, and Chai
 3e56a9b6c6aced2cb14f9cd7f89d145851c44113,Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning,"Zero and Few Shot Learning with Semantic
 Feature Synthesis and Competitive Learning
 Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, and Ji-Rong Wen"

-3eebe8a5adaa49e54ea909b4e2aeb436025c84d5,3 D Face Recognition Using Radon Transform and Symbolic Factorial Discriminant Analysis,"Proc. of Int. Conf. onMultimedia Processing, Communication and Info. Tech., MPCIT
-D Face Recognition Using Radon Transform and
-Symbolic Factorial Discriminant Analysis
-P. S. Hiremath, Manjunath Hiremath
-Department of Computer Science Gulbarga University, Gulbarga 585106 Karnataka, India
-Email:"

 08ff3e9f5ad47e59592ad993348b817003b9c0e4,A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision,"A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision
 Alejandro Betancourt1,2
 Miriam M. L´opez1
@@ -25673,25 +21800,6 @@ Ismail Ben Ayed
 ÉTS Montreal"

 08030f9d34cc96384f672d9f9f296914d594335b,Multiple Object Tracking: A Review,"Multiple Object Tracking: A Literature Review
 Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, Xiaowei Zhao and Tae-Kyun Kim"

-08ecc281cdf954e405524287ee5920e7c4fb597e,Computational Assessment of Facial Expression Production in ASD Children,"Article
-Computational Assessment of Facial Expression
-Production in ASD Children
-, Pierluigi Carcagnì 1, Cosimo Distante 1, Paolo Spagnolo 1, Pier Luigi Mazzeo 1,
-, Chiara Pellegrino 4, Annalisa Levante 5
-Marco Leo 1,*
-Anna Chiara Rosato 2 , Serena Petrocchi 3
-Filomena De Lumè 5 and Flavia Lecciso 5
-Institute of Applied Sciences and Intelligent Systems, National Research Council of Italy, via Monteroni,
-73100 Lecce, Italy; (P.C.); (C.D.); (P.S.);
-(P.L.M.)
-Amici di Nico Onlus, Via Campania, 6, 73046 Lecce, Italy;
-USI, Institute of Communication and Health, Via Buffi 6, 6900 Lugano, Switzerland;
-5 Dipartimento di Storia, University of Salento, Società e Studi Sull’ Uomo,
-L’ Adelfia Onlus, via S. Sangiovanni, 115-73031 Lecce, Italy;
-Studium 2000-Edificio 5-Via di Valesio, 73100 Lecce, Italy; (A.L.);
-(F.D.L.); (F.L.)
-* Correspondence:
-Received: 4 October 2018; Accepted: 14 November 2018; Published: 16 November 2018"

 0861f86fb65aa915fbfbe918b28aabf31ffba364,An Efficient Facial Annotation with Machine Learning Approach,"International Journal of Computer Trends and Technology (IJCTT) – volume 22 Number 3–April 2015
 An Efficient Facial Annotation with Machine Learning Approach
 A.Anusha,2R.Srinivas
@@ -25844,14 +21952,6 @@ Cheng Chen
 Jean-Marc Odobez
 Idiap Research Institute – CH-1920, Martigny, Switzerland
 (cid:3)"

-08ca2a2a543ee74e2bd6585e0a059b30aae65d30,Semantic Video Segmentation with Using Ensemble of Particular Classifiers and a Deep Neural Network for Systems of Detecting Abnormal Situations,"IT in Industry, vol. 6, 2018                                                                                                                         Published online 09-Feb-2018
-Semantic Video Segmentation with Using Ensemble
-of Particular Classifiers and a Deep Neural Network
-for Systems of Detecting Abnormal Situations
-O. Amosov, Y. Ivanov, S. Zhiganov
-Department of Industrial Electronics
-Komsomolsk-on-Amur State Technical University
-Komsomolsk-on-Amur, Russia"

 089ad31ad5eef41bd179bb0a142d3386a8de5564,Continuous memories for representing sets of vectors and image collections. (Mémoires continues représentant des ensembles de vecteurs et des collections d'images),"Continuous memories for representing sets of vectors
 nd image collections
 Ahmet Iscen
@@ -25999,10 +22099,6 @@ Petr´opolis, RJ 25651-075
 Email:
 S˜ao Bernardo do Campo, SP 09850-901
 Email:"

-08d625158727bd97ba6fc58992158ee55a53011c,HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search,"HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest
-Neighbor Search
-{artheru, yz sjr, Shanghai Jiaotong University
-Liu Shicong, Shao Junru, Lu Hongtao"

 08bbb59036c4b85a2418f9702ccd37929c5dd154,Understanding and Predicting the Memorability of Natural Scene Images,"Understanding and Predicting the Memorability of
 Natural Scene Images
 Jiaxin Lu, Mai Xu, Senior Member, IEEE, Ren Yang and Zulin Wang"

@@ -26189,10 +22285,6 @@ opyright owners and it is a condition of accessing these publications that users
 with these rights.
 Take down policy
 The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to"

-82088af865626e2340db12b2e42f3a258053d593,Learning Generative ConvNets via Multi-grid Modeling and Sampling,"Learning Generative ConvNets via Multi-grid Modeling and Sampling
-Ruiqi Gao1∗, Yang Lu2∗, Junpei Zhou3, Song-Chun Zhu1, Ying Nian Wu1
-University of California, Los Angeles, USA, 2 Amazon, 3 Zhejiang University, China
-{sczhu,"

 829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a,A Robust Rotation Invariant Multiview Face Detection in Erratic Illumination Condition,"International Journal of Computer Applications (0975 – 8887)
 Volume 57– No.20, November 2012
 A Robust Rotation Invariant Multiview Face Detection in
@@ -26202,18 +22294,6 @@ Associate Professor, Department of ECE
 Sona College of Technology
 Salem"

 82f6dad08432a5f1b737ba91dd002ff1f89170f7,c○2013 The Association for Computational Linguistics Order copies of this and other ACL proceedings from:,"ACL201351stAnnualMeetingoftheAssociationforComputationalLinguisticsProceedingsoftheConferenceSystemDemonstrationsAugust4-9,2013Sofia,Bulgaria"

-82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,"International Journal of Computational Intelligence and Informatics, Vol. 3: No. 4, January - March 2014
-Adaptive Multiple Kernels with SIR-Particle Filter
-Based Multi Human Tracking for Occluded
-Environment
-T Karpagavalli
-Department of Electronics and Communication
-KLN College of Information Technology
-Sivagangai, Tamilnadu, India
-S Appavu alias Balamurugan
-Department of Information Technology
-KLN College of Information Technology
-Sivagangai, Tamilnadu, India"

 82a4a35b2bae3e5c51f4d24ea5908c52973bd5be,Real-time emotion recognition for gaming using deep convolutional network features,"Real-time emotion recognition for gaming using
 deep convolutional network features
 S´ebastien Ouellet"

@@ -26229,16 +22309,6 @@ Reprints and permissions:
 sagepub.co.uk/journalsPermissions.nav
 DOI: 10.1177/1059712316664017
 db.sagepub.com"

-82b8a0c3e8f46ab0af5179a9d9a6b137405096d3,Generalized Low-Rank Approximations of Matrices Revisited,"Generalized Low Rank Approximations
-of Matrices Revisited
-Jun Liu, Songcan Chen∗, Zhi-Hua Zhou, Senior Member, IEEE, and Xiaoyang Tan, Member, IEEE"

-82485c89a6b48077b03b65a774fd5768ea768d4d,Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks,"Unsupervised Adaptive Re-identification in Open World Dynamic Camera
-Networks
-Rameswar Panda1,∗ Amran Bhuiyan2,∗,† Vittorio Murino2 Amit K. Roy-Chowdhury1
-Department of ECE
-Pattern Analysis and Computer Vision (PAVIS)
-UC Riverside
-Istituto Italiano di Tecnologia, Italy"

 8210fd10ef1de44265632589f8fc28bc439a57e6,Single Sample Face Recognition via Learning Deep Supervised Autoencoders,"Single Sample Face Recognition via Learning Deep
 Supervised Auto-Encoders
 Shenghua  Gao,  Yuting  Zhang,  Kui  Jia,  Jiwen  Lu,  Yingying  Zhang"

@@ -26273,26 +22343,6 @@ Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germ
 eemagine Medical Imaging Solutions GmbH, Berlin, Germany
 Both authors contributed equally.
 Contact:"

-82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,"International Journal of Computer Applications (0975 – 8887)
-National Conference on Electronics and Computer Engineering (NCECE-2016)
-Hybrid Primary and Secondary Biometric Fusion
-Kiran Kulkarni
-Department of Instrumentation
-Hubli (Karnataka)
-India
-Raghavendra Shet
-Department of Instrumentation
-Hubli (Karnataka)
-India
-Nalini Iyer
-Department of Instrumentation
-Hubli (Karnataka)
-India
-Section  4  deals  with  the  conclusions  and  possible  directions
-for future work.
-.  PROPOSED METHODOLOGY
-The proposed work consists of two biometric traits (Face and
-Fingerprint)  and  it  aims  at  fusing  these  two  biometric"

 82fc08f5658e0e37aeb36177717621605e11cda1,CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss,"CNN-based Patch Matching for Optical Flow with Thresholded Hinge
 Embedding Loss
 Christian Bailer1
@@ -26306,15 +22356,6 @@ Anurag Chowdhury*, Yousef Atoum+, Luan Tran*, Xiaoming Liu*, Arun Ross*
 *Michigan State University, USA
 +Yarmouk University, Jordan"

 82ab819815c86e85128a2a055a0c0fcd1146b696,Sampled Image Tagging and Retrieval Methods on User Generated Content,[cs.CV]  23 Nov 2016

-82224858677af47b8c836df701eeea8fffaec924,Paper On Person Identification System Using Multi-Model Biometric Based On Face,"International Journal of Science, Engineering and Technology Research (IJSETR)
-Volume 6, Issue 4, April 2017, ISSN: 2278 -7798
-Review Paper On Person Identification System
-Using Multi-Model Biometric Based On Face
-CHETAN  JAMDAR1, AMOL BOKE2
-Chetan  Jamdar, M. Tech Student, Dept Of ECE, G.H. Raisoni Academy Of Engg. And Technology, Nagpur,
-Maharashtra, India.
-Guide details: Amol Boke,  Assistant Professor, Dept Of ECE, G.H. Raisoni Academy Of Engg. And Technology,
-Nagpur, Maharashtra, India"

 82752700f496d4575163b2c59a547d24eb916baf,Similarity Search on Spatio-Textual Point Sets,"Series ISSN: 2367-2005
 0.5441/002/edbt.2016.31
 o1, {shop,jeans}u2, o2, {football,match,stadium}u3, o3, {shop,market}u2, o5, {hurry, tube, time}u1, o4, {tube,ride}u3, o6, {thames,bridge}u3, o7, {bus,ride}spatial thresholdu2, o8, {football,derby}Figure1:STPSJoinqueryscenario.Multipleobjectsarespatiallyortextuallysimilar,butonlyusersu1andu3haveobjectswhicharemutuallysimilar.dayfrom100millionactiveusers.Useractivitiesintheseplatformsgeneratecontentthathastextualcomponent,e.g.,statusupdates,shortmessages,ortags,and,followingthewidespreadadoptionofGPSinmobiledevices,ageospatialcomponent,e.g.,geotaggedtweets,photos,andusercheck-ins.Thus,theactionsofusersaredocumentedbytheirmessagesinsocialnetworksandassuchgenerate“traces”,whichconsistofspatio-textualobjects.Ef‌f‌icientindexingandqueryingofspatio-textualdatahasreceivedalotofattentionoverthepastyears,duetothehighimportanceofsuchcontentinlocation-basedservices,suchasnearbysearchandrecommendations.Inparticu-lar,multipletypesofspatio-textualquerieshavebeenex-tensivelystudied,includingbooleanrangequeries,top-kqueries,k-nearestneighborqueries,andmorerecently,spatio-textualsimilarityjoins[11,7].Nevertheless,inexistingworks,spatio-textualentitiesaretypicallytreatedasisolatedobservations.Atypicalexamplequeryistofindnearbyrestaurantsorhotelsmatchingcertaincriteria.Theworkin[7]dealswithfindingpairsofentitiesthatarebothspatiallycloseandtextuallysimilar.Exampleusecasesarede-duplicatingPoints-of-Interestacrossdatasets,orfindingmatchingphotostakenatroughlythesameloca-tionandhavingsimilartags.Nowconsiderlookingforsimilarusersinsocialnetworks.Here,auserischaracterizedbythemessagestheygenerateand,ifavailable,respectivelocationinformation.Assuch,eachmessagecanbeconsideredaspatio-textualobject,e.g.,ageotaggedphotoortweet.Witheachuserbeingcharacter-"

@@ -26544,9 +22585,6 @@ SAP SE, Berlin"
 611f9faa6f3aeff3ccd674d779d52c4f9245376c,Multiresolution models for object detection,"Multiresolution models for object detection
 Dennis Park, Deva Ramanan, and Charless Fowlkes
 UC Irvine, Irvine CA 92697, USA,"

-61228ef559e4d73c8c726115f945f5f86d5638fb,Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks,"Naturalistic Driver Intention and Path Prediction
-using Recurrent Neural Networks
-Alex Zyner, Member, IEEE, Stewart Worrall, Member, IEEE, and Eduardo Nebot, Member, IEEE"

 61e97d8440627bdc9772b3b2083c65f44a51107d,Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine,"R E V I E W S
 Oxytocin and vasopressin in the
 human brain: social neuropeptides
@@ -26999,9 +23037,6 @@ Furqan M. Khan, Francois Bremond
 INRIA Sophia Antipolis-Mediterrannee
 004 Route des Lucioles, Sophia Antipolis Cedex, France
 {furqan.khan |"

-7b6f0c4b22aee0cb4987cba9df121d4076fac5a5,On Learning 3D Face Morphable Model from In-the-wild Images,"On Learning 3D Face Morphable Model
-from In-the-wild Images
-Luan Tran, and Xiaoming Liu, Member, IEEE"

 7b0e81249159686337ca2cfe81662123906b6b26,An Automatic Eye Detection Method for Gray Intensity Facial Images,"IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 2, July 2011
 ISSN (Online): 1694-0814
 www.IJCSI.org
@@ -27040,26 +23075,6 @@ Emre Akbas, Miguel P. Eckstein"
 Recognition for Objects by Relationships Between Attributes
 Hiroka Horiguchi*, Kazuo Ikeshiro and Hiroki Imamura
 Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan"

-7b9ebcc8b9c05ef661182fe73438b7725584817d,Restoring effects of oxytocin on the attentional preference for faces in autism,"Citation: Transl Psychiatry (2017) 7, e1097; doi:10.1038/tp.2017.67
-www.nature.com/tp
-ORIGINAL ARTICLE
-Restoring effects of oxytocin on the attentional preference
-for faces in autism
-M Kanat1,2, I Spenthof1,3, A Riedel4, LT van Elst2,4, M Heinrichs1,2 and G Domes1,2,3
-Reduced attentional preference for faces and symptoms of social anxiety are common in autism spectrum disorders (ASDs). The
-neuropeptide oxytocin triggers anxiolytic functions and enhances eye gaze, facial emotion recognition and neural correlates of face
-processing in ASD. Here we investigated whether a single dose of oxytocin increases attention to faces in ASD. As a secondary
-question, we explored the influence of social anxiety on these effects. We tested for oxytocin’s effects on attention to neutral faces
-s compared to houses in a sample of 29 autistic individuals and 30 control participants using a dot-probe paradigm with two
-different presentation times (100 or 500 ms). A single dose of 24 IU oxytocin was administered in a randomized, double-blind
-placebo-controlled, cross-over design. Under placebo, ASD individuals paid less attention to faces presented for 500 ms than did
-ontrols. Oxytocin administration increased the allocation of attention toward faces in ASD to a level observed in controls.
-Secondary analyses revealed that these oxytocin effects primarily occurred in ASD individuals with high levels of social anxiety who
-were characterized by attentional avoidance of faces under placebo. Our results confirm a positive influence of intranasal oxytocin
-on social attention processes in ASD. Further, they suggest that oxytocin may in particular restore the attentional preference for
-facial information in ASD individuals with high social anxiety. We conclude that oxytocin’s anxiolytic properties may partially
-ccount for its positive effects on socio-cognitive functioning in ASD, such as enhanced eye gaze and facial emotion recognition.
-Translational Psychiatry (2017) 7, e1097; doi:10.1038/tp.2017.67; published online 18 April 2017"

 7b9b3794f79f87ca8a048d86954e0a72a5f97758,Passing an Enhanced Turing Test - Interacting with Lifelike Computer Representations of Specific Individuals,"DOI 10.1515/jisys-2013-0016      Journal of Intelligent Systems 2013; 22(4): 365–415
 Avelino J. Gonzalez*, Jason Leigh, Ronald F. DeMara, Andrew
 Johnson, Steven Jones, Sangyoon Lee, Victor Hung, Luc
@@ -27078,12 +23093,6 @@ Andreas Bulling
 MPI for Informatics
 Otmar Hilliges
 ETH Zurich"

-7bdcd85efd1e3ce14b7934ff642b76f017419751,Learning Discriminant Face Descriptor,"Learning Discriminant Face Descriptor
-Zhen Lei, Member, IEEE, Matti Pietika¨ inen, Fellow, IEEE, and Stan Z. Li, Fellow, IEEE"

-7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d,Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition,"Deep Recurrent Convolutional Neural Network:
-Improving Performance For Speech Recognition
-Zewang Zhang, Student Member, IEEE, Zheng Sun, Student Member, IEEE, Jiaqi Liu, Student Member, IEEE,
-Jingwen Chen, Student Member, IEEE, Zhao Huo, Member, IEEE, and Xiao Zhang, Member, IEEE"

 7bbaa09c9e318da4370a83b126bcdb214e7f8428,"FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC","FaaSter, Better, Cheaper: The Prospect of
 Serverless Scientific Computing and HPC
 Josef Spillner1, Cristian Mateos2, and David A. Monge3
@@ -27127,11 +23136,6 @@ Matteo Fabbri(cid:63), Fabio Lanzi(cid:63), Simone Calderara(cid:63), Andrea Pal
 Vezzani, and Rita Cucchiara
 Department of Engineering “Enzo Ferrari”
 University of Modena and Reggio Emilia, Italy"

-7b331c80a91acf3616afd88e78801ac55c874f43,Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling,"Multiple Player Tracking in Sports Video: A
-Dual-Mode Two-Way Bayesian Inference Approach
-With Progressive Observation Modeling
-Junliang Xing, Student Member, IEEE, Haizhou Ai, Senior Member, IEEE, Liwei Liu, and
-Shihong Lao, Member, IEEE"

 7b8e9c50f74ce6ca66a8ab61fb18ca31d26cf13f,Nonlinear Channels Aggregation Networks for Deep Action Recognition,"Under review as a conference paper at ICLR 2019
 Nonlinear Channels Aggregation Networks
 for Deep Action Recognition
@@ -27279,10 +23283,6 @@ engineering ,Jaipur(INDIA)"
 6bcc2b50e32bdbb0c668f75000badf21e6cd0839,Knowledge Projection for Deep Neural Networks,"Knowledge Projection for Effective Design of
 Thinner and Faster Deep Neural Networks
 Zhi Zhang, Guanghan Ning, and Zhihai He"

-6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,"Enhance Visual Recognition under Adverse
-Conditions via Deep Networks
-Ding Liu, Student Member, IEEE, Bowen Cheng, Zhangyang Wang, Member, IEEE,
-Haichao Zhang, Member, IEEE, and Thomas S. Huang, Life Fellow, IEEE"

 6b8a5a2d018356b396301b27156fd69dd18b1d82,A Study on the Impact of Wavelet Decomposition on Face Recognition Methods,"International Journal of Computer Applications (0975 – 8887)
 Volume 87 – No.3, February 2014
 A Study on the Impact of Wavelet Decomposition on
@@ -27396,18 +23396,6 @@ IEEE, 2011. 561 - 564
 Copyright:  © 2011 IEEE
 El acceso a la versión del editor puede requerir la suscripción del recurso
 Access to the published version may require subscription"

-e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc,Face Recognition with Independent Component Based Super-resolution,"Face Recognition with Independent Component Based
-Super-resolution
-Osman Gokhan Sezer†,a, Yucel Altunbasakb, Aytul Ercila
-Faculty of Engineering and Natural Sciences, Sabanci Univ., Istanbul, Turkiye, 34956
-School of Elec. and Comp. Eng. , Georgia Inst. of Tech., Atlanta, GA, USA, 30332-0250"

-e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,"Spatio-temporal interaction model for crowd video analysis
-Indian Institute of Technology Bombay
-Indian Institute of Technology Bombay
-Neha Bhargava
-India
-Subhasis Chaudhuri
-India"

 e4a5ff03ac258f1bcc9c214c30497610b3d5faa2,DropBlock: A regularization method for convolutional networks,"DropBlock: A regularization method for
 onvolutional networks
 Golnaz Ghiasi
@@ -27450,14 +23438,6 @@ Lu Yuan
 Microsoft Research Asia"

 e4d33362b4f99ab77fd6ceaafa183c087c79faea,Design and implementation of a high performance pedestrian detection,"June 23-26, 2013, Gold Coast, Australia
 978-1-4673-2754-1/13/$31.00 ©2013 Crown"

-e4bce7dabefaff6069fc0773773c80dbc4865005,Evaluation of Face Recognition using Principle Component Analysis and Two Dimensional Component Analysis,"Indian Journal of Advanced Communication Engineering
-Volume.1 Number.1 January – June 2013, pp.1-7
-Academic Research Journals, (India)
-Evaluation of Face Recognition using Principle Component
-Analysis and Two Dimensional Component Analysis
-Dr.G.M.Tamilselvan1, Dr. S. Valarmathy2, M.Brindha3 and M. Arun Kumar 4
-Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, India
-E-mails:"

 e475e857b2f5574eb626e7e01be47b416deff268,Facial Emotion Recognition Using Nonparametric Weighted Feature Extraction and Fuzzy Classifier,"Facial Emotion Recognition Using Nonparametric
 Weighted Feature Extraction and Fuzzy Classifier
 Maryam Imani and Gholam Ali Montazer"

@@ -27474,19 +23454,6 @@ Pascal Fua
 Computer Vision Laboratory, ´Ecole Polytechnique F´ed´erale de Lausanne
 {weizhe.liu, krzysztof.lis, mathieu.salzmann,
 (EPFL)"

-e4b9c14951cea6259dd9d522586ba2c5bb1fbcce,Social Image Captioning: Exploring Visual Attention and User Attention,"Article
-Social Image Captioning: Exploring Visual Attention
-nd User Attention
-Leiquan Wang 1 ID , Xiaoliang Chu 1, Weishan Zhang 1, Yiwei Wei 1, Weichen Sun 2,3
-nd Chunlei Wu 1,*
-College of Computer & Communication Engineering, China University of Petroleum (East China),
-Qingdao 266555, China; (L.W.); (X.C.);
-(W.Z.); (Y.W.)
-First Research Institute of the Ministry of Public Security of PRC, Beijing 100048, China;
-School of Information and Communication Engineering, Beijing University of Posts and
-Telecommunications, Beijing 100876, China
-* Correspondence:
-Received: 1 December 2017; Accepted: 12 February 2018; Published: 22 February 2018"

 e4cbe39daed8700a1d6f4a25a3a98645c4f231d0,A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis,"Comput Optim Appl (2018) 70:395–418
 https://doi.org/10.1007/s10589-018-0002-6
 A nonconvex formulation for low rank subspace
@@ -27517,27 +23484,9 @@ University of Augsburg
 uni-augsburg.de
 Dan Zecha
 University of Augsburg"

-e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6,Quality Fusion Rule for Face Recognition in Video,"Quality Fusion Rule for Face Recognition in Video
-Chao Wang, Yongping Li, and Xinyu Ao
-The center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics,
-Chinese Academy of Science, 201800 Shanghai, China"

 e4d0e87d0bd6ead4ccd39fc5b6c62287560bac5b,Implicit video multi-emotion tagging by exploiting multi-expression relations,"Implicit Video Multi-Emotion Tagging by Exploiting Multi-Expression
 Relations
 Zhilei Liu, Shangfei Wang*, Zhaoyu Wang and Qiang Ji"

-e472ab9005af1beb1e0d4a11d83e552c89b4cec2,"An Integrated Approach to Robust Human Face Detection for Complicated Facial Expressions , Angles and Illuminations","European Journal of Scientific Research
-ISSN 1450-216X Vol.85 No.1 (2012), pp.123-144
-© EuroJournals Publishing, Inc. 2012
-http://www.europeanjournalofscientificresearch.com
-An Integrated Approach to Robust Human Face Detection for
-Complicated Facial Expressions, Angles and Illuminations
-M. Madhu
-Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, Kanchipuram, India
-Department of Electronics and Communication Engineering
-E-mail: Tel: +91-9944331257
-R. Amutha
-Department of Electronics and Communication Engineering
-SSN College of Engineering, Chennai, India
-E-mail:"

 e480f8c00dfe217653c2569d0eec6e2ffa836d59,The “Something Something” Video Database for Learning and Evaluating Visual Common Sense,"The “something something” video database
 for learning and evaluating visual common sense
 Raghav Goyal
@@ -27558,14 +23507,6 @@ e4896772d51a66b743e0d072d53cf26f6b61fc75,Automated Identification of Trampoline
 Using Computer Vision Extracted Pose Estimation
 Paul W. Connolly, Guenole C. Silvestre and Chris J. Bleakley
 School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland."

-e478c322de923337627487d8a688f5922b45b2ff,Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification,"International Journal of Innovative Research in Science, Engineering and Technology
-ISSN: 2319-8753
-Vol. 2, Issue 4, April 2013
-Automatic Garage Door Opening Using
-License Plate Recognition and Fingerprint
-Verification
-E. Gomathi, B. Kousalya
-Assistant Professor, Department of ECE, Karpagam College of Engineering, Coimbatore, India"

 e45bcda905b897513f4cff9e5c0a5bf475674a02,"Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation","Domain Stylization: A Strong, Simple Baseline for
 Synthetic to Real Image Domain Adaptation
 Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
@@ -27593,12 +23534,6 @@ broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destin´ee au d´epˆot et `a la diffusion de documents
 scientifiques de niveau recherche, publi´es ou non,"

-e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Side Information for Face Completion: a Robust
-PCA Approach
-Niannan Xue, Student Member, IEEE, Jiankang Deng, Student Member,IEEE,
-Shiyang Cheng, Student Member,IEEE, Yannis Panagakis, Member,IEEE,
-nd Stefanos Zafeiriou, Member, IEEE"

 e496d6be415038de1636bbe8202cac9c1cea9dbe,Facial Expression Recognition in Older Adults using Deep Machine Learning,"Facial Expression Recognition in Older Adults using
 Deep Machine Learning
 Andrea Caroppo, Alessandro Leone and Pietro Siciliano
@@ -27610,12 +23545,6 @@ Department of Engineering ”Enzo Ferrari”
 University of Modena and Reggio Emilia, Italy
 Keywords:
 Head Detection, Head Localization, Depth Maps, Convolutional Neural Network"

-e41e1e4d9e578c29bf648e7098c466935b50f1a9,A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation,"A Generative Model for Simultaneous
-Estimation of Human Body Shape and
-Pixel-level Segmentation
-Ingmar Rauschert and Robert T. Collins
-Pennsylvania State University,
-University Park, 16802 PA, USA"

 e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1,Instance-level video segmentation from object tracks Anonymous CVPR submission,"CVPR 2016 Submission #185. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 Instance-level video segmentation from object tracks
 Anonymous CVPR submission
@@ -27667,12 +23596,6 @@ Full Terms & Conditions of access and use can be found at
 http://www.tandfonline.com/action/journalInformation?journalCode=pcem20
 Download by: [Vrije Universiteit Amsterdam]
 Date: 04 April 2016, At: 13:19"

-e4bf70e818e507b54f7d94856fecc42cc9e0f73d,FACE RECOGNITION UNDER VARYING BLUR IN AN UNCONSTRAINED ENVIRONMENT,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
-FACE RECOGNITION UNDER VARYING BLUR IN AN
-UNCONSTRAINED ENVIRONMENT
-Anubha Pearline.S1, Hemalatha.M2
-M.Tech, Information Technology,Madras Institute of Technology, TamilNadu,India,
-Assistant Professor, Information Technology,Madras Institute of Technology, TamilNadu,India, email:,"

 e4d8ba577cabcb67b4e9e1260573aea708574886,Um Sistema De Recomendaç˜ao Inteligente Baseado Em V ´ Idio Aulas Para Educaç˜ao a Distˆancia an Intelligent Recommendation System Based on Video Lectures for Distance Education (revelation),"UM SISTEMA DE RECOMENDAC¸ ˜AO INTELIGENTE BASEADO EM V´IDIO
 AULAS PARA EDUCAC¸ ˜AO A DIST ˆANCIA
 Gaspare Giuliano Elias Bruno
@@ -27744,13 +23667,6 @@ s a Guide for Facial Feature Extraction
 Nozomi Nakao, Wataru Ohyama, Tetsushi Wakabayashi and Fumitaka Kimura
 Graduate School of Engineering, Mie University
 577 Kurimamachiya-cho, Tsu-shi, Mie, 5148507, Japan"

-eea9994c71831219aacd537f5f4ab8a91110a7e2,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,"Optimizing the Trade-off between
-Single-Stage and Two-Stage Deep Object Detectors
-using Image Difficulty Prediction
-Petru Soviany, Radu Tudor Ionescu
-Department of Computer Science
-University of Bucharest, Romania
-E-mails:"

 eee8a37a12506ff5df72c402ccc3d59216321346,Volume C,"Uredniki:
 dr. Tomaž Erjavec
 Odsek za tehnologije znanja
@@ -27771,34 +23687,15 @@ Informacijska družba
 ISSN 1581-9973
 CIP - Kataložni zapis o publikaciji
 Narodna in univerzitetna knjižnica, Ljubljana"

-eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,"The Open Construction and Building Technology Journal, 2015, 9, 177-181
-Open Access
-Exploring  Guide  Context  in  City  Scenario  Using  Color  and  Gradient
-Features
-Send Orders for Reprints to
-Zhuo Bian*
-Art Academy of Northeast Agriculture University, Harbin 150001, China"

 ee9385efb66ee0b1bee31c1632141729bb7fb6f5,Numerical simplification for bloat control and analysis of building blocks in genetic programming,"Noname manuscript No.
 (will be inserted by the editor)
 Numerical Simplification for Bloat Control and Analysis of
 Building Blocks in Genetic Programming
 David Kinzett · Mark Johnston · Mengjie Zhang
 the date of receipt and acceptance should be inserted later"

-eee69704bde40ab20090c19a21487f7ca5bcc674,On the Effect of Perspective Distortions in Face Recognition,"ON THE EFFECT OF PERSPECTIVE DISTORTIONS
-IN FACE RECOGNITION
-Zahid Riaz and Michael Beetz
-Intelligent Autonomous Systems (IAS), Department of Computer Science,
-Technical University of Munich, Munich, Germany
-Keywords:
-Face Recognition, Active Appearance Models, Feature Extraction, Biometrics."

 eeec69e910430bebe3808773f5a6a155d77059a0,Multi-shot Pedestrian Re-identification via Sequential Decision Making,"Multi-shot Pedestrian Re-identification via Sequential Decision Making
 Jianfu Zhang1, Naiyan Wang2 and Liqing Zhang1
 Shanghai Jiao Tong University∗, 2TuSimple"

-ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,"Processing Large Amounts of Images
-on Hadoop with OpenCV
-Timofei Epanchintsev1,2 and Andrey Sozykin1,2
-IMM UB RAS, Yekaterinburg, Russia,
-Ural Federal University, Yekaterinburg, Russia"

 eed1dd2a5959647896e73d129272cb7c3a2e145c,The Elements of Fashion Style,"INPUTSTYLE DOCUMENTTOP ITEMS“             ”I need an outfit for a beach wedding that I'm going to early this summer. I'm so excited -- it's going to be warm and exotic and tropical... I want my outfit to look effortless, breezy, flowy, like I’m floating over the sand! Oh, and obviously no white! For a tropical spot, I think my outfit should be bright and"

 eedfb384a5e42511013b33104f4cd3149432bd9e,Multimodal probabilistic person tracking and identification in smart spaces,"Multimodal Probabilistic Person
 Tracking and Identification
@@ -27839,14 +23736,6 @@ Dr. Marco Loog
 Dr. Silvia-Laura Pintea
 Dr. Adriana Gonzalez
 Eindhoven, Aug 2017"

-ee53c9480132fc0d09b1192226cb2c460462fd6d,Channel Pruning for Accelerating Very Deep Neural Networks,"Channel Pruning for Accelerating Very Deep Neural Networks
-Yihui He*
-Xi’an Jiaotong University
-Xi’an, 710049, China"

-ee8d2256ac99799677a5bd88bb1a12973bd245df,Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks,"Depth Pooling Based Large-scale 3D Action
-Recognition with Convolutional Neural Networks
-Pichao Wang, Member, IEEE, Wanqing Li, Senior Member, IEEE,
-Zhimin Gao, Chang Tang, and Philip Ogunbona, Senior Member, IEEE,"

 eed98eb53b34820df736203d62076eff81de926e,Scene Segmentation and Object Classification for Place Recognition,"Dr. Mongi A. Abidi,  Major Professor
 To the Graduate Council:
 I  am  submitting  herewith  a  dissertation    written  by  Chang  Cheng  entitled  “Scene
@@ -28016,26 +23905,6 @@ Dr. Gabriel Dichter
 Dr. Kevin LaBar
 Dr. Joseph Piven
 Dr. Aldo Rustioni"

-784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,"Group-level Emotion Recognition using Transfer Learning from
-Face Identification
-Alexandr Rassadin
-Alexey Gruzdev
-Andrey Savchenko
-National Research University Higher
-National Research University Higher
-National Research University Higher
-School of Economics
-Laboratory of Algorithms and
-Technologies for Network Analysis,
-School of Economics
-Nizhny Novgorod
-Russia
-School of Economics
-Laboratory of Algorithms and
-Technologies for Network Analysis,
-Nizhny Novgorod
-Russia
-Nizhny Novgorod"

 78df7d3fdd5c32f037fb5cc2a7c104ac1743d74e,Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition,"TEMPORAL PYRAMID POOLING CNN FOR ACTION RECOGNITION
 Temporal Pyramid Pooling Based Convolutional
 Neural Network for Action Recognition
@@ -28069,10 +23938,6 @@ Chi-Hao Wu, Qin Huang, Siyang Li, and C.-C. Jay Kuo, Fellow, IEEE"
 78fdf2b98cf6380623b0e20b0005a452e736181e,Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition,

 78c9a63be8e07dc6acb90f4fe3f06821719eaa34,Hierarchical online domain adaptation of deformable part-based models,"Hierarchical online domain adaptation of deformable part-based models
 Jiaolong Xu1, David V´azquez2, Krystian Mikolajczyk3 and Antonio M. L´opez1"

-78e00cfe5f0bd4bbb3d4111fa11de9e6dda17afc,Multimodal Task-Driven Dictionary Learning for Image Classification,"Multimodal Task-Driven Dictionary Learning
-for Image Classification
-Soheil Bahrampour, Member, IEEE, Nasser M. Nasrabadi, Fellow, IEEE, Asok Ray, Fellow, IEEE,
-nd W. Kenneth Jenkins, Life Fellow, IEEE"

 788a3faa14ca191d7f187b812047190a70798428,Interpretable Set Functions,"Interpretable Set Functions
 Andrew Cotter, Maya Gupta, Heinrich Jiang,
 James Muller, Taman Narayan, Serena Wang, Tao Zhu
@@ -28080,18 +23945,6 @@ James Muller, Taman Narayan, Serena Wang, Tao Zhu
 Google Research"

 7882c67f555b761e10ecc70216db25382890d9d7,Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks,"Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional
 Neural Networks"

-787303db8e707feee2fa2b93dfc46e3d3cc244cd,Defocus Blur Parameter Estimation Technique,"International Journal of Electronics and Communication Engineering and Technology (IJECET)
-Volume 7, Issue 4, July-August 2016, pp. 85–90, Article ID: IJECET_07_04_010
-Available online at
-http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=4
-Journal Impact Factor (2016): 8.2691 (Calculated by GISI) www.jifactor.com
-ISSN Print: 0976-6464 and ISSN Online: 0976-6472
-© IAEME Publication
-DEFOCUS BLUR PARAMETER ESTIMATION
-TECHNIQUE
-Ruchi Gajjar, Aditi Pathak and Tanish Zaveri
-Electronics and Communication Engineering Department
-Institute of Technology, Nirma University, Ahmedabad, Gujarat, India"

 78749b58299ecebf100e2512872029f89878449b,One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection,

 782188821963304fb78791e01665590f0cd869e8,Automatic Spatially-Aware Fashion Concept Discovery,"sleevelengthincreasing dress length+ mini =(b) Structured product browsing(c) Attribute-feedback product retrieval(a) Concept discoveryminimidimaxisleevelessshort-sleevelong-sleeveblueblackredyellowFigure1.(a)Weproposeaconceptdiscoveryapproachtoauto-maticallyclusterspatially-awareattributesintomeaningfulcon-cepts.Thediscoveredspatially-awareconceptsarefurtherutilizedfor(b)structuredproductbrowsing(visualizingimagesaccordingtoselectedconcepts)and(c)attribute-feedbackproductretrieval(refiningsearchresultsbyprovidingadesiredattribute).variousfeedback,includingtherelevanceofdisplayedim-ages[20,4],ortuningparameterslikecolorandtexture,andthenresultsareupdatedcorrespondingly.However,rel-evancefeedbackislimitedduetoitsslowconvergencetomeetthecustomerrequirements.Inadditiontocolorandtexture,customersoftenwishtoexploithigher-levelfea-tures,suchasneckline,sleevelength,dresslength,etc.Semanticattributes[13],whichhavebeenappliedef-fectivelytoobjectcategorization[15,27]andfine-grainedrecognition[12]couldpotentiallyaddresssuchchallenges.Theyaremid-levelrepresentationsthatdescribesemanticproperties.Recently,researchershaveannotatedclotheswithsemanticattributes[9,2,8,16,11](e.g.,material,pat-tern)asintermediaterepresentationsorsupervisorysignalstobridgethesemanticgap.However,annotatingsemanticattributesiscostly.Further,attributesconditionedonob-jectpartshaveachievedgoodperformanceinfine-grainedrecognition[3,33],confirmingthatspatialinformationiscriticalforattributes.Thisalsoholdsforclothingimages.Forexample,thenecklineattributeusuallycorrespondstothetoppartinimageswhilethesleeveattributeordinarily1"

 78f7304ba4c853c568dc4e38fef35aa2c003e3f3,Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines.,"visual cortex with centered Gaussian-binary deep
@@ -28108,10 +23961,6 @@ Laurenz Wiskott
 Institut f¨ur Neuroinformatik
 Ruhr-Universit¨at Bochum
 Bochum, 44780, Germany"

-78a85785150b2b80eca826ba9afc05005184a7c3,Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network,"Optical Flow Super-Resolution Based on Image
-Guidence Using Convolutional Neural Network
-Liping Zhang, Zongqing Lu∗, Qingmin Liao
-Graduate School at Shenzhen, Tsinghua University Shenzhen, China"

 78a144d5dce1a61c92420e77c11116f541a7617f,Box Aggregation for Proposal Decimation: Last Mile of Object Detection,"Box Aggregation for Proposal Decimation: Last Mile of Object Detection
 The Chinese University of Hong Kong ♯Stanford University ‡Shanghai Jiao Tong University
 Shu Liu† Cewu Lu♯,‡
@@ -28133,20 +23982,6 @@ Arman Savran
 Electrical and Electronics Engineering Department
 Bo˘gazic¸i University, Istanbul, Turkey
 B¨ulent Sankur"

-7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,"Detection of Person in A Group of People Using 3-D Based Model
-Dr. P. Srirama Chandra Murty1, Ch. Anuradha2, Dr. Syed Muneer3
-Assistant Professor, Dept. of  Computer Science and Engineering, ANUCET, Acharya Nagarjuna
-University, Guntur, India
-Asst. Professor, Dept. of Computer Science and Engineering, PNC & Vijay Institute of Engineering
-Computer Professional, Dept. of Computer Science and Engineering, ANUCET, Acharya Nagarjuna
-nd Technology, Guntur, Andhra Pradesh, India.
-University, Guntur, Andhra Pradesh, India"

-78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,"Collaborative Discriminant Locality Preserving Projections With its Application
-to Face Recognition
-Sheng Huanga,c, Dan Yanga,b,∗, Dong Yangc, Ahmed Elgammalc
-College of Computer Science at Chongqing University, Chonqing, 400044, China
-School of Software Engineering at Chongqing University Chonqing, 400044, China
-Department of Computer Science at Rutgers University, Piscataway, NJ, 08854, USA"

 78d00241fc9798eba895d41a0068715212a70489,Person identification from gait analysis with a depth camera at home,978-1-4244-9270-1/15/$31.00 ©2015 IEEE

 781c2553c4ed2a3147bbf78ad57ef9d0aeb6c7ed,Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels,"Int J Comput Vis
 DOI 10.1007/s11263-017-1023-9
@@ -28215,24 +24050,6 @@ Asturias, Spain; (R.U.); (R.C.)
 * Corrospondence: Tel.: +34-984-29-12-12; Fax: +34-984-39-06-12
 Academic Editor: Gonzalo Pajares Martinsanz
 Received: 14 July 2016; Accepted: 24 October 2016; Published: 28 October 2016"

-4991dcef497ddd7ea115663985a9e0635494a95d,Detecting Group Activities With Multi-Camera Context,"Detecting Group Activities With
-Multi-Camera Context
-Zheng-Jun Zha, Member, IEEE, Hanwang Zhang, Meng Wang, Member, IEEE, Huanbo Luan, and Tat-Seng Chua"

-49b349021c958772926851ee7b704c8839977e28,Face Recognition by Using Distance Classifier Based On PCA and LDA,"ISSN (Online)  : 2319 - 8753
-ISSN (Print)    : 2347 - 6710
-International Journal of Innovative Research in Science, Engineering and Technology
-2014 International Conference on Innovations in Engineering and Technology (ICIET’14)
-Volume 3, Special Issue 3, March 2014
-On 21st & 22nd March Organized by
-K.L.N. College of Engineering, Madurai, Tamil Nadu, India
-Face Recognition by Using Distance Classifier
-Based On PCA and LDA
-Gayathri.S#1, Mary Jeya priya.R#2, Dr.Valarmathy.S *3
-#1 P.G Scholar, Department of Electronics and Communication, Bannari Amman Institute of Technology,
-#2 P.G Scholar, Department of Electronics and Communication, Bannari Amman Institute of Technology,
-Sathyamangalam, Tamilnadu, India.
-Sathyamangalam, Tamilnadu, India.
-*3Bannari Amman Institute of Technology, Sathyamangalam, , Tamilnadu, India."

 49004f22a420e0897f7b811239c1e098b0c655bf,Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering,"Out of the Box: Reasoning with Graph Convolution
 Nets for Factual Visual Question Answering
 Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing
@@ -28358,15 +24175,6 @@ Yu-Wing Tai
 Tencent
 Chi-Keung Tang
 HKUST"

-49b3f6d8712c01f315686b6b8541eda8c5ee428a,Virtual friend or threat? The effects of facial expression and gaze interaction on psychophysiological responses and emotional experience.,"Copyright r 2009 Society for Psychophysiological Research
-DOI: 10.1111/j.1469-8986.2009.00831.x
-Virtual friend or threat? The effects of facial expression
-nd gaze interaction on psychophysiological responses
-nd emotional experience
-FRANZISKA SCHRAMMEL,a SEBASTIAN PANNASCH,a SVEN-THOMAS GRAUPNER,a
-ANDREAS MOJZISCH,b and BORIS M. VELICHKOVSKYa
-Institute for Psychology III, Technische Universitaet Dresden, Germany
-Institute for Psychology, Georg-August-University Goettingen, Germany"

 490a0b6ff5b982e884622bb9c81250f05c069f32,Template Aging in 3 D and 2 D Face Recognition,"Template Aging in 3D and 2D Face Recognition
 Ishan Manjani∗
 Hakki Sumerkan†
@@ -28414,13 +24222,6 @@ neodvisnih komponent, zanesljivost razpoznavanja, kakovost vhodnih slik
 Impact of image degradations on the face recognition accuracy"

 49e85869fa2cbb31e2fd761951d0cdfa741d95f3,Adaptive Manifold Learning,"Adaptive Manifold Learning
 Zhenyue Zhang, Jing Wang, and Hongyuan Zha"

-4980511ea7ac286b7fff0456216425287bc9a083,Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph,"Automatic Image Annotation Using Modified Keywords Transfer
-Mechanism Base on Image-Keyword Graph
-Guo-Qing Xu1, Zhi-Chun Mu2
-1 School of Automation and Electrical Engineering, University of Science and Technology Beijing
-School of Automation and Electrical Engineering, University of Science and Technology Beijing
-Beijing, 100083, China
-Beijing, 100083, China"

 493abaf881c3a6e9d3bf47a8d6e75abb4e75f557,Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth,"Introspective Evaluation of Perception Performance for Parameter Tuning
 without Ground Truth
 Humphrey Hu† and George Kantor†"

@@ -28441,11 +24242,6 @@ Computer Vision Group
 June 9, 2017
 M.Sc. John Chiotellis: Metric Learning
 / 46"

-49f22f29e57f5867b47348555136844ffa6c6603,Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
-Beyond Lesion-based Diabetic Retinopathy:
-Direct Approach for Referral
-Ramon Pires, Member, IEEE, Sandra Avila, Member, IEEE, Herbert F. Jelinek, Member, IEEE,
-Jacques Wainer, Eduardo Valle, and Anderson Rocha, Senior Member, IEEE"

 4987ac5638e1fdb116cc76626465f166998d7536,Polysemous codes.,"Polysemous codes
 Matthijs Douze, Herv´e J´egou and Florent Perronnin
 Facebook AI Research"

@@ -28480,10 +24276,6 @@ Generic and attribute-specific deep
 representations for maritime vessels
 Berkan Solmaz*†
 , Erhan Gundogdu†, Veysel Yucesoy and Aykut Koc"

-23a8dc98eb38039f032d77a209751b25d3106c4b,Memory Efficient Max Flow for Multi-label Submodular MRFs,"Memory Efficient Max Flow for Multi-label
-Submodular MRFs
-Thalaiyasingam Ajanthan, Student Member, IEEE, Richard Hartley, Fellow, IEEE,
-nd Mathieu Salzmann, Member, IEEE"

 2322ec2f3571e0ddc593c4e2237a6a794c61251d,Four not six: Revealing culturally common facial expressions of emotion.,"Jack, R. E. , Sun, W., Delis, I., Garrod, O. G. B. and Schyns, P. G. (2016)
 Four not six: revealing culturally common facial expressions of
 emotion.Journal of Experimental Psychology: General, 145(6), pp. 708-
@@ -28519,10 +24311,6 @@ Institut de Police Scientifique, E´ cole des Sciences Criminelles, Universite�
 Speech Processing and Biometrics Group, Signal Processing Institute, E´ cole Polytechnique Fe´de´rale de Lausanne, Switzerland
 Received 9 June 2006; accepted 14 June 2006
 Available online 4 August 2006"

-236942bb64f1711b4763424b2f795fb518c9d8d4,Optimizing LBP Structure For Visual Recognition Using Binary Quadratic Programming,"Optimizing LBP Structure For Visual Recognition
-Using Binary Quadratic Programming
-Jianfeng Ren, Student Member, IEEE, Xudong Jiang, Senior Member, IEEE, Junsong Yuan, Senior Member, IEEE,
-nd Gang Wang, Member, IEEE"

 239df42479c69cf95e7194cc0ec3d8cf7d4a98e8,Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation,"Face Detection and Extraction from Low
 Resolution Surveillance Video Using
 Motion Segmentation
@@ -28583,10 +24371,6 @@ Jack Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Hillary Abraham, Al
 Ming-Hsuan Yang
 Honda Fundamental Research Labs
 Mountain View, CA 94041"

-236a4f38f79a4dcc2183e99b568f472cf45d27f4,Randomized Clustering Forests for Image Classification,"Randomized Clustering Forests
-for Image Classification
-Frank Moosmann, Student Member, IEEE, Eric Nowak, Student Member, IEEE, and
-Frederic Jurie, Member, IEEE Computer Society"

 2312bc2d48a0f68bd5ab1b024d5726786455da3a,Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification,"Learning Deep Context-aware Features over Body and Latent Parts
 for Person Re-identification
 Supplementary Materials
@@ -28609,35 +24393,11 @@ including detected and manually annotated. In this paragraph, we show the overal
 results to approximate the single-shot results. The DGD [6] is trained using multiple datasets. In this paper, we use the"

 23172f9a397f13ae1ecb5793efd81b6aba9b4537,Defining Visually Descriptive Language,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 10–17,
 Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics."

-237734e3fd3abab005b0b97d61416ee16105f902,Consensus Maximization for Semantic Region Correspondences,"Consensus Maximization for Semantic Region Correspondences
-Pablo Speciale1, Danda P. Paudel2, Martin R. Oswald1,
-Hayko Riemenschneider2, Luc V. Gool2,4, and Marc Pollefeys1,3
-Department of Computer Science, ETH Z¨urich.
-Microsoft, Redmond, USA
-{pablo, moswald,
-Computer Vision Laboratory, D-ITET, ETH Z¨urich
-VISICS, ESAT/PSI, KU Leuven, Belgium
-{paudel, hayko,
-Day / Night
-Registration
-Outdoor / Indoor
-Registration
-Scan / CAD
-Registration
-Figure 1: Example registration results. Our approach solves challenging registration problems by maximizing the number of corre-
-sponding semantic regions – such as windows, doors or balconies – for datasets from different modalities, with large amounts of noise and
-outliers, little data overlap, or significantly different data statistics."

 23e881c9b791fd17e248b1fb4fc980710dd005d7,An Unbiased Temporal Representation for Video-Based Person Re-Identification,"AN UNBIASED TEMPORAL REPRESENTATION FOR VIDEO-BASED PERSON
 RE-IDENTIFICATION
 Xiu Zhang and Bir Bhanu
 Center for Research in Intelligent Systems
 University of California, Riverside, Riverside, CA 92521, USA"

-239c06cd437832faa55a8e7292c50e45229a3d7c,Generating analytic insights on human behavior using image processing,"Generating Analytic Insights on Human behavior
-using Image Processing
-Namit Juneja, Rajesh Kumar M, Senior Member, IEEE
-School of Electronics Engineering
-VIT University
-Vellore, India"

 23ea8a34570342855611a78a4ff00ddd902e6123,Gradient-based global features and its application to image retargeting,"Gradient-based Global Features and Its Application
 to Image Retargeting
 Izumi Ito
@@ -28645,10 +24405,6 @@ Tokyo Institute of Technology Tokyo, 152-8552 Japan
 +81-3-5734-2997"

 23cb53fd272c105e98111e66502120216ae1788c,Incremental learning for robot perception through HRI,"Incremental Learning for Robot Perception through HRI
 Sepehr Valipour∗, Camilo Perez∗ and Martin Jagersand"

-23fa51635c646aa621bb18ff76f31d5e48ac969b,MFSC: A new shape descriptor with robustness to deformations,"MFSC: A NEW SHAPE DESCRIPTOR WITH ROBUSTNESS TO DEFORMATIONS
-Lunshao Chaia, Zhen Qinb, Honggang Zhanga, Jun Guoa, Bir Bhanub
-Beijing University of Posts and Telecomuunictions, Beijing, 100876, China
-University of California at Riverside, Riverside, CA 92521, USA"

 2333cf918f50ac2ae201a837166d310adf3a00b0,Optimally Training a Cascade Classifier,"Optimally Training a Cascade Classifier
 Chunhua Shen, Peng Wang, and Anton van den Hengel"

 23e0571fd42347ca2bdf424b8562c6c6f72b88fc,Classification of Things in DBpedia using Deep Neural Networks,"International Journal of Web & Semantic Technology (IJWesT) Vol.9, No.1, January 2018
@@ -28712,47 +24468,10 @@ Computer Vision Laboratory
 ETH Zurich
 ESAT-PSI / IBBT
 KU Leuven"

-238fc68b2e0ef9f5ec043d081451902573992a03,Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition,"Enhanced Local Gradient Order Features and
-Discriminant Analysis for Face Recognition
-Chuan-Xian Ren, Zhen Lei, Member, IEEE, Dao-Qing Dai, Member, IEEE, and Stan Z. Li, Fellow, IEEE
-role in robust face recognition [5]. Many algorithms have
-een proposed to deal with the effectiveness of feature design
-nd extraction [6], [7]; however, the performance of many
-existing methods is still highly sensitive to variations of
-imaging conditions, such as outdoor illumination, exaggerated
-expression, and continuous occlusion. These complex varia-
-tions are significantly affecting the recognition accuracy in
-recent years [8]–[10].
-Appearance-based subspace learning is one of the sim-
-plest approach for feature extraction, and many methods
-re usually based on linear correlation of pixel intensities.
-For example, Eigenface [11] uses eigen system of pixel
-intensities to estimate the lower rank linear subspace of
-set of training face images by minimizing the (cid:2)2 dis-
-tance metric. The solution enjoys optimality properties when
-noise is independent
-identically distributed Gaussian only."

-23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,"Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 2, Issue. 4, April 2013, pg.646 – 649
-RESEARCH ARTICLE
-Modified Approaches on Face Recognition
-By using Multisensory Image
-S. Dhanarajan1, G. Michael2
-Computer Science Department, Bharath University, India
-Computer Science Department, Bharath University, India"

 23943197f4124aa6c5a263bf2042169c9b816906,Crafting GBD-Net for Object Detection,"MANUSCRIPT
 Crafting GBD-Net for Object Detection
 Xingyu Zeng*,Wanli Ouyang*,Junjie Yan, Hongsheng Li,Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin
 Yang, Zhe Wang,Hui Zhou, Xiaogang Wang,"

-23c9fe37fa0474967be4cc6c7a310dcc87b86b72,Spatial Feature Interdependence Matrix (SFIM): A Robust Descriptor for Face Recognition,"Spatial Feature Interdependence Matrix (SFIM):
-A Robust Descriptor for Face Recognition
-Anbang Yao1 and Shan Yu2
-National Laboratory of Pattern Recognition, Institute of Automation,
-Chinese Academy of Science, Beijing, 100090, China
-National Institute for Research in Computer Science and Control, France"

 231a12de5dedddf1184ae9caafbc4a954ce584c3,Closed and Open World Multi-shot Person Re-identification. (Ré-identification de personnes à partir de multiples images dans le cadre de bases d'identités fermées et ouvertes),"Closed and Open World Multi-shot Person
 Re-identification
 Solène Chan-Lang
@@ -28773,9 +24492,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-2340a8fa6d90741c53e659cd1e7ca86ff900aa55,Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,"Body Parts Dependent Joint Regressors for
-Human Pose Estimation in Still Images
-Matthias Dantone, Juergen Gall, Member, IEEE Christian Leistner, and Luc Van Gool, Member, IEEE"

 2349eab05cd0c6f94ba5314c037d198aa12c2f0f,Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
 ICASSP 2012"

 237316762470d72a02795a7f57de9279e9cda16a,Dimensionality-reduced subspace clustering,"Dimensionality-reduced subspace clustering
@@ -28977,52 +24693,6 @@ Technische Universit¨at Ilmenau
 Die Dissertation wurde am 16.06.2009 bei der Technischen Universit¨at M¨unchen einge-
 reicht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik am 30.10.2009
 ngenommen."

-f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
-A Survey on Mining of Weakly Labeled Web Facial
-Images and Annotation
-Tarang Boharupi1, Pranjali Joshi2
-Pune Institute of Computer Technology, Pune, India
-Professor, Pune Institute of Computer Technology, Pune, India
-the  proposed  system  which"

-f1c76d97caa6f882764c1382c622a2dfb6aade43,CoreRank: Redeeming “Sick Silicon” by Dynamically Quantifying Core-Level Healthy Condition,"CoreRank: Redeeming “Sick Silicon”
-y Dynamically Quantifying Core-Level
-Healthy Condition
-Guihai Yan, Member, IEEE, Faqiang Sun, Huawei Li, Senior Member, IEEE, and
-Xiaowei Li, Senior Member, IEEE"

-f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,"Gender and Emotion Recognition with Implicit User Signals
-Maneesh Bilalpur
-International Institute of Information
-Technology
-Hyderabad, India
-Seyed Mostafa Kia
-Donders Institute, Radboud
-University
-Nijmegen, Netherlands
-Manisha Chawla
-Centre for Cognitive Science, Indian
-Institute of Technology
-Gandhinagar, India
-Tat-Seng Chua
-School of Computing, National
-University of Singapore
-Singapore
-Ramanathan Subramanian
-University of Glasgow & Advanced
-Digital Sciences Center"

-f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,"International Journal of Security and Its Applications
-Vol. 10, No. 6 (2016) pp.315-330
-http://dx.doi.org/10.14257/ijsia.2016.10.6.30
-A Novel Face Template Protection Algorithm Based on the Fusion
-of Chaos Theory and RSA Encryption
-Liu Yunan1, Zhao Fudong2, Xu Yanli3 and Cao Yu2*
-.School of Foreign Languages, Harbin University of Science and Technology,
-Harbin, 150080, China
-.School of Automation, Harbin University of Science and Technology, Harbin,
-50080, China
-.School of Foreign Languages, Northeast Forestry University, Harbin, 150040,
-China"

 f1498ba94d64ee221e27b658bcd407c160cf0897,LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation,"LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry
 Estimation
 Gabriele Costante†,1 and Thomas A. Ciarfuglia†,1"

@@ -29100,25 +24770,6 @@ f1d8c377093ecf64afd7f17383738e81666fe5ae,Remote Detection of Idling Cars Using I
 Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
 Muhammet Bastan · Kim-Hui Yap · Lap-Pui Chau
 Date: April 2018"

-f19527b2ceabf50831e78ac04161107c936efb2b,Discriminative Sparse Neighbor Approximation for Imbalanced Learning,"Discriminative Sparse Neighbor Approximation
-for Imbalanced Learning
-Chen Huang, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

-56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,"International Journal of Computer Applications Technology and Research
-Volume 2– Issue 6, 708 - 713, 2013, ISSN:  2319–8656
-Occlusion and Abandoned Object Detection for
-Surveillance Applications
-M. Chitra
-RVS college of Engineering
-nd Technology
-Karaikal, India
-M.Kalaiselvi Geetha
-Annamalai University
-Chidambaram, India
-L.Menaka
-RVS college of Engineering
-nd Technology
-Karaikal, India
-is  challenging  and"

 568727a76dc1242e3d48392f9c19678a27c63482,High Entropy Ensembles for Holistic Figure-ground Segmentation,"GALLO et al.: HEE FOR HOLISTIC FIGURE-GROUND SEGMENTATION
 High Entropy Ensembles for Holistic
 Figure-ground Segmentation
@@ -29132,23 +24783,6 @@ Department of Theoretical and Applied
 Science
 University of Insubria
 Varese, Italy"

-56f5a94047966eac4b2f97ded4b50513f9a09951,Is the Kidney Donor Risk Index a Useful Tool in Non-US Patients?,"791148 CJKXXX10.1177/2054358118791148Canadian Journal of Kidney Health and DiseaseYoung et al
-research-article20182018
-Original Research Article
-Is the Kidney Donor Risk Index a
-Useful Tool in Non-US Patients?
-Ann Young1, Greg A. Knoll2,3, Eric McArthur2,
-Stephanie N. Dixon2,4, Amit X. Garg2,5,
-Charmaine E. Lok1,2,6, Ngan N. Lam7, and S. Joseph Kim1,2,6,8
-Canadian Journal of Kidney Health
-nd Disease
-Volume 5: 1 –10
-© The Author(s) 2018
-Reprints and permissions:
-sagepub.com/journals-permissions
-DOI: 10.1177/2054358118791148
-https://doi.org/10.1177/2054358118791148
-journals.sagepub.com/home/cjk"

 566038a3c2867894a08125efe41ef0a40824a090,Face recognition and gender classification in personal memories,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
 ICASSP 2009"

 56b9c6efe0322f0087d2f82b52129cc6b41ab356,"Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products","Acquire, Augment, Segment & Enjoy:
@@ -29229,22 +24863,10 @@ Relatively-Paired Space Analysis: Learning a Latent Common
 Space from Relatively-Paired Observations
 Zhanghui Kuang · Kwan-Yee K. Wong
 Received: date / Accepted: date"

-56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,"Local Similarity based Linear Discriminant
-Analysis for Face Recognition with Single
-Sample per Person
-Fan Liu1, Ye Bi1, Yan Cui2, Zhenmin Tang1
-School of Computer Science and Engineering, Nanjing University of Science and
-Key Laboratory of Broadband Wireless Communication and Sensor Network
-Technology, Nanjing University of Posts and Telecommunications, China
-Technology, China"

 56a0ead811a1bf15e42be8a9a007b0299636f213,Talk the Walk: Navigating New York City through Grounded Dialogue,"Talk the Walk: Navigating New York City through
 Grounded Dialogue
 Harm de Vries1, Kurt Shuster3, Dhruv Batra3,2, Devi Parikh3,2, Jason Weston3 & Douwe Kiela3
 MILA, Université de Montréal; 2Georgia Institute of Technology; 3Facebook AI Research"

-56a653fea5c2a7e45246613049fb16b1d204fc96,Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition,"Quaternion Collaborative and Sparse Representation
-With Application to Color Face Recognition
-Cuiming Zou, Kit Ian Kou, Member, IEEE, and Yulong Wang, Student Member, IEEE
-representation-based"

 56dca23481de9119aa21f9044efd7db09f618704,Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices,"Riemannian Dictionary Learning and Sparse
 Coding for Positive Definite Matrices
 Anoop Cherian
@@ -29271,26 +24893,6 @@ nel MBPLS presents favorable aspects such as the scalability and robustness with
 number of cameras combined with the high matching rates."

 56cf859363f1b5231418b40b957a9132a78ea546,VLASE: Vehicle Localization by Aggregating Semantic Edges,"VLASE: Vehicle Localization by Aggregating Semantic Edges
 Xin Yu1∗, Sagar Chaturvedi1∗, Chen Feng2, Yuichi Taguchi2, Teng-Yok Lee2, Clinton Fernandes1, Srikumar Ramalingam1"

-568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,"Scope of physiological and behavioural pain assessment techniques
-in children – a review
-Saranya Devi Subramaniam1, Brindha Doss1 ✉, Lakshmi Deepika Chanderasekar2, Aswini Madhavan1,
-Antony Merlin Rosary2
-Department of Biomedical Engineering, PSG College of Technology, Coimbatore 641004, India
-Department of Electronics & Communication Engineering, PSG College of Technology, Coimbatore, 641004, India
-✉ E-mail:
-Published in Healthcare Technology Letters; Received on 7th February 2018; Accepted on 10th May 2018
-Pain is an unpleasant subjective experience. At present, clinicians are using self-report or pain scales to recognise and monitor pain in children.
-However, these techniques are not efficient to observe the pain in children having cognitive disorder and also require highly skilled observers
-to measure pain. Using these techniques it is also difficult to choose the analgesic drug dosages to the patients after surgery. Thus, this
-onceptual work explains the demand for automatic coding techniques to evaluate pain and also it documents some evidence of
-techniques that act as an alternative approach for objectively determining pain in children. In this review, some good indicators of pain in
-hildren are explained in detail; they are facial expressions from an RGB image, thermal image and also feature from well proven
-physiological signals such as electrocardiogram, skin conductance, body temperature, surgical pleth index, pupillary reflex dilation,
-nalgesia nociception index, photoplethysmography, perfusion index etc.
-. Introduction: The children will encounter pain resulting from
-injuries, disease, after surgery and other health problems. The
-‘International Association for the Study of Pain (IASP)’, an
-interdisciplinary organisation created in 1973 to study pain and"

 564d4ee76c0511bc395dfc8ef8e3b3867fc34a6d,Robust group sparse representation via half-quadratic optimization for face recognition,"Robust Group Sparse Representation via Half-Quadratic Optimization
 for Face Recognition
 Yong Peng and Bao-Liang Lu(cid:3), Senior Member, IEEE"

@@ -29336,26 +24938,6 @@ Berichter: Universit¨atsprofessor Dr.-Ing. Hermann Ney
 Universit¨atsprofessor Dr.-Ing. Hans Burkhardt
 Tag der m¨undlichen Pr¨ufung: 14. M¨arz 2006
 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verf¨ugbar."

-98a60b218ff8addaf213e97e2f4b54d39e45f5b9,Benchmarking Real World Object Recognition,"Bonn-Aachen International Center for Information Technology
-Master of Science in Autonomous Systems
-Bonn-Rhein-Sieg University of Applied Sciences
-Date: March 4, 2005
-Student: Adolf, Florian-Michael
-Matriculation-No: 9005989
-eMail:
-Supervisor: Prassler, Erwin
-Institution: UAS Bonn-Rhein-Sieg
-eMail:
-Benchmarking Real World Object Recognition
-Summer Term 2005
-Master Thesis Proposal
-Context
-Service robotics basically comprise everything that is not industrial robotics, and reflects
-the distinction between the manufacturing and service sectors of the economy. Hence
-service robots are supposed to operate in our human world as autonomously as possible.
-The perception of objects in video images suitable for everyday use (”real-world”) is one
-of the key disciplines in developing this key technology.
-Recent service robotic projects [16, 13, 19, 20, 2] demand research in machine vision and"

 98a660c15c821ea6d49a61c5061cd88e26c18c65,Face Databases for 2 D and 3 D Facial Recognition : A Survey,"IOSR Journal of Engineering (IOSRJEN)
 e-ISSN: 2250-3021, p-ISSN: 2278-8719
 Vol. 3, Issue 4 (April. 2013), ||V1 || PP 43-48
@@ -29487,13 +25069,6 @@ OpenAI
 Sergey Levine
 Google Brain
 UC Berkeley"

-98735e57075ed6e8ef9d98d7ca4895013492e35b,Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation,"Backdoor Embedding in Convolutional Neural Network Models
-via Invisible Perturbation
-Cong Liao∗†, Haoti Zhong∗‡, Anna Squicciarini†, Sencun Zhu⨿, David Miller‡
-College of Information Sciences & Technology
-⨿Dept. of Computer Sciences & Engineering
-Dept. of Electrical Engineering
-Pennsylvania State University"

 98c7a6210ca7bc81d2f7092ab28451f47039e920,UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title What is the Ground ?,"UC Merced
 Proceedings of the Annual Meeting of the Cognitive Science
 Society
@@ -29793,23 +25368,6 @@ Nicolas Thome 3
 Sorbonne Universit´es, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, 4 place Jussieu, 75005 Paris
 Heuritech, 248 rue du Faubourg Saint-Antoine, 75012 Paris
 Conservatoire National des Arts et M´etiers"

-fefd9778ef0c23b9e59c2a4748dcb98c827168f4,Semantic Pixel Sets Based Local Binary Patterns for Face Recognition,"Semantic Pixel Sets based Local Binary Patterns
-for Face Recognition
-Zhenhua Chai1, Heydi Mendez-Vazquez2, Ran He1, Zhenan Sun1, and Tieniu
-National Laboratory of Pattern Recognition, Institute of Automation,
-Chinese Academy of Science, P.O. Box 2728, Beijing, 100080, P.R. China
-Advanced Technologies Application Center.
-7th Avenue #21812 b/ 218 and 222, P.C. 12200, Playa, Havana, Cuba."

-fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,"IOSR Journal of VLSI and Signal Processing (IOSR-JVSP)
-Volume 6, Issue 2, Ver. I (Mar. -Apr. 2016), PP 47-53
-e-ISSN: 2319 – 4200, p-ISSN No. : 2319 – 4197
-www.iosrjournals.org
-Performance Evaluation of Gabor Wavelet Features for Face
-Representation and Recognition
-M. E. Ashalatha1, Mallikarjun S. Holi2
-Dept. of Biomedical Engineering, Bapuji Institute of Engineering & Technology Davanagere, Karnataka,India
-Dept. of Electronics and Instrumentation Engineering, University B.D.T.College of Engineering, Visvesvaraya
-Technological University,  Davanagere, Karnataka, India"

 fe9b0accf0e7d3821bc5d7d62937499a441633c9,Learning Disentangled Representations with Reference-Based Variational Autoencoders,"Learning Disentangled Representations with
 Reference-Based Variational Autoencoders
 Adria Ruiz 1 Oriol Martinez 2 Xavier Binefa 2 Jakob Verbeek 1"

@@ -30036,11 +25594,6 @@ Panna Felsen1,2, Patrick Lucey2, and Sujoy Ganguly2
 BAIR, UC Berkeley
 STATS
 {plucey,"

-34b6466e3e69547f6d464ad6b5660b1e629a5c35,Similar and Class Based Image Retrieval Using Hash Code,"IJCSNS International Journal of Computer Science and Network Security, VOL.15 No.3, March 2015
-Similar and Class Based Image Retrieval Using Hash Code
-B.Bharathi 1, Nagarjuna Reddy Akkim2
-Faculty of computing, Sathyabama University, Chennai, India
-Introduction"

 3468740e4a9fc72a269f4f0ca8470ccd60925f92,Robustness Analysis of Visual QA Models by Basic Questions,"Robustness Analysis of Visual QA Models by Basic Questions
 Jia-Hong Huang
 Bernard Ghanem
@@ -30063,22 +25616,6 @@ Atlanta, GA, USA
 Duen Horng (Polo) Chau
 Georgia Tech
 Atlanta, GA, USA"

-341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,"Collaborative Representation for Face
-Recognition based on Bilateral Filtering
-Rokan Khaji1, Hong Li2, Ramadan Abdo Musleh3, Hongfeng Li4, Qabas Ali5
-School of Mathematics and Statistics,
-Huazhong University of Science & Technology , Wuhan, 430074, China
-Department of Mathematics, College of Science, Diyala University,  Diyala, 32001 ,Iraq
-,3,4School of Mathematics and Statistics,
-Huazhong University of Science & Technology , Wuhan, 430074, China
-5Department of Electronics and Information Engineering,
-Huazhong University of Science & Technology , Wuhan, 430074, China."

-34b4f264578fc674dd2bf8d478ec1314739a5629,3D Novel Face Sample Modeling for Face Recognition,"D Novel Face Sample Modeling for Face
-Recognition
-Yun Ge, Yanfeng Sun, Baocai Yin, Hengliang Tang
-Beijing Key Laboratory of Multimedia and Intelligent Software Technology
-College of Computer Science and Technology, BJUT, Beijing, China
-Email:"

 34d15fea236612e9df10e4c7a25ca31c0d95edd1,Biases in spatial bisection induced by viewing male and female faces.,"Research Article
 Biases in Spatial Bisection Induced
 y Viewing Male and Female Faces
@@ -30163,16 +25700,6 @@ Barbara Ruggeri & Ugis Sarkans & Gunter Schumann &
 Antonio M. Persico
 Received: 15 April 2013 /Accepted: 7 September 2013
 # Springer-Verlag Berlin Heidelberg 2013"

-34b124ecdc3471167cea1675a74a0232a881bc69,Infrared face recognition based on LBP co-occurrence matrix,"Int. J. Wireless and Mobile Computing, Vol. 8, No. 1, 2015
-Infrared face recognition based on LBP
-o-occurrence matrix and partial least squares
-Zhihua Xie and Guodong Liu*
-Key Lab of Optic-Electronic and Communication,
-Jiangxi Sciences and Technology Normal University,
-Nanchang, China
-Email:
-Email:
-*Corresponding author"

 34f8086eb67eb2cd332cd2d6bca0dd8f1e8f1062,Face Recognition and Growth Prediction using a 3 D Morphable Face Model,"Saarland University
 Faculty of Natural Sciences and Technology I
 Department of Computer Science
@@ -30237,11 +25764,6 @@ of New York
 The Graduate Center, City University
 Hunter College, City University of
 The Graduate Center, City University"

-3447fc311a3adf60d36283b51c1a1e0d3be7416c,A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy,"A Generic Framework for Ef(cid:2)cient 2D and 3D
-Facial Expression Analogy
-Mingli Song, Member, IEEE, Zhao Dong*, Student Member, IEEE,
-Christian Theobalt, Member, IEEE, Huiqiong Wang, Zicheng Liu, Senior Member, IEEE and
-Hans-Peter Seidel, Senior Member, IEEE"

 34d484b47af705e303fc6987413dc0180f5f04a9,RI : Medium : Unsupervised and Weakly-Supervised Discovery of Facial Events 1,"RI:Medium: Unsupervised and Weakly-Supervised
 Discovery of Facial Events
 Introduction
@@ -30323,9 +25845,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-347ce37f15cea5bb8d0a676562664f80e3609b78,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,"Pixel Objectness: Learning to Segment Generic
-Objects Automatically in Images and Videos
-Bo Xiong∗, Suyog Dutt Jain∗, and Kristen Grauman, Member, IEEE"

 34df09a9445089c8f23eff5b2a43a822c9713f6e,Boosting chamfer matching by learning chamfer distance normalization,"Boosting Chamfer Matching by Learning
 Chamfer Distance Normalization
 Tianyang Ma, Xingwei Yang, and Longin Jan Latecki
@@ -30377,33 +25896,7 @@ email: {jamalad,"
 Generating Textual Adversarial Examples for
 Deep Learning Models: A Survey
 Wei Emma Zhang, Quan Z. Sheng, Ahoud Abdulrahmn F Alhazmi, and Chenliang Li"

-881066ec43bcf7476479a4146568414e419da804,From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips,"From Traditional to Modern : Domain Adaptation for
-Action Classification in Short Social Video Clips
-Aditya Singh, Saurabh Saini, Rajvi Shah, and P J Narayanan
-Center for Visual Information Technology, IIIT Hyderabad, India"

-88502625b546607f4992085a313dab1ceb68e4d7,A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions,"www.ijemr.net
-ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
-Volume-7, Issue-4, July-August 2017
-International Journal of Engineering and Management Research
-Page Number: 17-22
-A New Technique using Cubic Curves and Hamming Distance to Detect
-Human Emotions
-R. Neela1, M. Jayasri2
-Department of Computer Science, AVC College (Autonomous), Mannampandal, INDIA
-M.Phil. Research Scholar, Department of Computer Science, AVC College (Autonomous), Mannampandal, INDIA"

 8855d6161d7e5b35f6c59e15b94db9fa5bbf2912,COGNITION IN PREGNANCY AND THE POSTPARTUM PERIOD,COGNITION IN PREGNANCY AND THE POSTPARTUM PERIOD

-88f5f9d92c4fa696457a824c3eec204da05ba6a4,XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings,"XGAN: Unsupervised Image-to-Image
-Translation for Many-to-Many Mappings
-Am´elie Royer1[0000−0002−8407−0705], Konstantinos Bousmalis2,6, Stephan
-Gouws2, Fred Bertsch3, Inbar Mosseri4, Forrester Cole4, and Kevin Murphy5
-IST Austria, 3400 Klosterneuburg, Austria
-Work done while at Google Brain London, UK
-Google Brain, London, UK
-{konstantinos,
-Google Brain, Mountain View, USA
-Google Research, Cambridge, USA
-5 Google Research, Mountain View, USA
-6 Currently at Deepmind, London, UK"

 88850b73449973a34fefe491f8836293fc208580,XBeats-An Emotion Based Music Player,"www.ijaret.org                                                                                                                                                     Vol. 2, Issue I, Jan. 2014
 ISSN 2320-6802
 INTERNATIONAL JOURNAL FOR ADVANCE RESEARCH IN
@@ -30438,9 +25931,6 @@ Department of Computing, Curtin University of Technology, WA 6845, Australia"
 8813368c6c14552539137aba2b6f8c55f561b75f,Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition,"Trunk-Branch Ensemble Convolutional Neural
 Networks for Video-based Face Recognition
 Changxing Ding, Student Member, IEEE, Dacheng Tao, Fellow, IEEE"

-889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7,Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition,"Using Support Vector Machines to Enhance the
-Performance of Bayesian Face Recognition
-Zhifeng Li, Member, IEEE, and Xiaoou Tang, Senior Member, IEEE"

 8897dd825230695a8a669b29a4d1b284373adb31,Face Recognition using Co-occurrence Matrix of Local Average Binary Pattern ( CMLABP ),"Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), April Edition, 2012
 Face Recognition using Co-occurrence Matrix
 of Local Average Binary Pattern (CMLABP)
@@ -30523,15 +26013,6 @@ Jingdong Wang† Xian-Sheng Hua‡ Shipeng Li†
 Microsoft Corporation
 Microsoft Research Asia
 August 10, 2012"

-88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,"Local Learning with Deep and Handcrafted Features
-for Facial Expression Recognition
-Mariana-Iuliana Georgescu1,2
-Radu Tudor Ionescu1,3
-Marius Popescu1,3
-University of Bucharest, 14 Academiei, Bucharest, Romania
-Novustech Services, 12B Aleea Ilioara, Bucharest, Romania
-SecurifAI, 21D Mircea Vod˘a, Bucharest, Romania
-georgescu"

 88e3aefe454e72388bbbe7dfa0b74fcfc52032f0,Weighted Gradient Feature Extraction Based on Multiscale Sub-Blocks for 3D Facial Recognition in Bimodal Images,"Article
 Weighted Gradient Feature Extraction Based on
 Multiscale Sub-Blocks for 3D Facial Recognition in
@@ -30551,14 +26032,6 @@ Heechul Jung† Sihaeng Lee† Sunjeong Park†
 Korea Advanced Institute of Science and Technology†
 Electronics and Telecommunications Research Institute‡
 {heechul, haeng, sunny0414, {ninja,"

-88a37a05024ef3390e2f1b67fb3637d1c8bbddb3,Home Theft Detection and Recognition Using ROI and PCA Technique,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
-Home Theft Detection and Recognition Using ROI
-nd PCA Technique
-Ram Singh1, Ashok Kumar Bathla2
-Research scholar, CE Department, YCOE, Punjabi University, Patiala, India
-Assistant Professor, CE Department, YCOE, Punjabi University, Patiala, India"

 883006c0f76cf348a5f8339bfcb649a3e46e2690,Weakly supervised pain localization using multiple instance learning,"Weakly Supervised Pain Localization using Multiple Instance Learning
 Karan Sikka, Abhinav Dhall and Marian Bartlett"

 8816ee1e23983f5a4340743c7744a336fae02d60,Face Recognition Using Boosted Local Features,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
@@ -30581,47 +26054,8 @@ Belo Horizonte, Brazil"
 D Human Face Reconstruction Using a Hybrid of Photometric
 Stereo and Independent Component Analysis
 *Cheng-Jian Lin, 2Shyi-Shiun Kuo, 1Hsueh-Yi Lin, 2Shye-Chorng Kuo and 1Cheng-Yi Yu"

-507660f778fe913f6e1957fe39a87cbf50a52b2e,Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey,"Sparse Camera Network for Visual
-Surveillance – A Comprehensive Survey
-Mingli Song, Member, IEEE, Dacheng Tao, Senior Member, IEEE,
-nd Stephen J. Maybank, Fellow, IEEE"

-500993a8852f766d4bac7b5039b9072b587e4d09,HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks,"PARK, LI, KIM: HARRISON: A BENCHMARK FOR IMAGE HASHTAG RECOMMENDATION1
-HARRISON: A Benchmark on HAshtag
-Recommendation for Real-world Images in
-SOcial Networks
-School of Electrical Engineering
-KAIST
-South Korea
-Minseok Park
-Hanxiang Li
-Junmo Kim"

-50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,"ISSN (Print)  : 2320 – 3765
-ISSN (Online): 2278 – 8875
-International Journal of Advanced Research in  Electrical,
-Electronics and Instrumentation Engineering
-(An ISO 3297: 2007 Certified Organization)
-Vol. 3, Issue 1, January 2014
-Face Recognition Using Wavelet Transforms
-Nikhila S 1, Pavitha U S 2, Krutthika H K 3
-Assistant Professor, Dept. of Instrumentation, Dayananda Sagar College of Engineering, Bangalore, India
-Assistant Professor, Dept. of Instrumentation, Dayananda Sagar College of Engineering, Bangalore, India
-Assistant Professor, Dept. of E&C, Dayananda Sagar College of Engineering, Bangalore, India"

-50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,"IEEE TRANSACTIONS ON LATEX CLASS FILES, VOL. XX, NO. X, AUGUST 2017
-Age Group and Gender Estimation in the Wild with
-Deep RoR Architecture
-Ke Zhang, Member, IEEE, Ce Gao, Liru Guo, Miao Sun, Student Member, IEEE, Xingfang Yuan, Student
-Member, IEEE, Tony X. Han, Member, IEEE, Zhenbing Zhao, Member, IEEE and Baogang Li"

 50bf792c721293222248f906e95726ac2ac2fe9e,Characterising Pedestrian Detection on a Heterogeneous Platform,"Characterising Pedestrian Detection on a Heterogeneous Platform
 Calum Blair1, Neil Robertson2 and Danny Hume3"

-5042b358705e8d8e8b0655d07f751be6a1565482,"- 9359 ( Volume-4 , Issue-8 ) Review on Emotion Detection in Image","International Journal of
-Emerging Research in Management &Technology
-ISSN: 2278-9359 (Volume-4, Issue-8)
-Research  Article
-August
-Review  on Emotion Detection  in Image
-Aswinder Kaur*                                                                                                        Kapil Dewan
-CSE & PCET, PTU                                                                                             HOD, CSE & PCET, PTU
-Punjab, India                                                                                                            Punj ab, India"

 50a48fcd6176b72aea7a61233d3c7fb12a279ba4,A Computational Model of Eye Movements during Object Class Detection,"A Computational Model of Eye Movements
 during Object Class Detection
 Wei Zhang†
@@ -30632,26 +26066,6 @@ Dept. of Computer Science†
 Dept. of Psychology‡
 State University of New York at Stony Brook
 Stony Brook, NY 11794"

-50188f3b8d63e196af9ad156e8ff127e060d0aef,Metadata of the chapter that will be visualized in SpringerLink,"Metadata of the chapter that will be visualized in
-SpringerLink
-Neural Information Processing
-Finger-Vein Quality Assessment by Representation Learning from Binary Images
-Springer International Publishing Switzerland
-Family Name
-Particle
-Given Name
-Prefix
-Suffix
-Division
-Huafeng
-Chongqing Engineering Laboratory of Detection Control and Integrated
-System
-Chongqing Technology and Business University
-Chongqing, 400067, China
-Department of EPH
-Telecom-SudParis
-91011, Paris, Evry Cedex, France
-El-Yacoubi"

 50c1ab22f442470efbe3198f0b338fb699416bc5,A Commute in Data: The comma2k19 Dataset,"A Commute in Data: The comma2k19 Dataset
 Harald Sch¨afer, Eder Santana, Andrew Haden, and Riccardo Biasini
 omma.ai"

@@ -30871,13 +26285,6 @@ DECEMBER 2011"
 nd Pose Dictionary
 Anonymous ECCV submission
 Paper ID 895"

-50e5dd45a94a56cb973e51dc3347e621266db7e4,3 D Face Recognition Using Concurrent Neural Modules,"D Face Recognition Using Concurrent Neural Modules
-VICTOR-EMIL NEAGOE , IONUT MITRACHE, AND DANIEL CARAUSU
-Depart. Electronics, Telecommunications & Information Technology
-Polytechnic University of Bucharest
-Splaiul Independentei No. 313, Sector 6, Bucharest
-ROMANIA
-Email:"

 508eb5a6156b8fa1b4547b611e85969438116fa2,Perceptual Generative Adversarial Networks for Small Object Detection,"Perceptual Generative Adversarial Networks for Small Object Detection
 Jianan Li Xiaodan Liang Yunchao Wei
 Tingfa Xu
@@ -30953,14 +26360,6 @@ bide by the legal requirements associated with these rights.
 Take down policy
 The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer
 ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please"

-1cdf8790a675037579bbe2ee4f39f731f7672fae,Pivot Correlational Neural Network for Multimodal Video Categorization,"Pivot Correlational Neural Network for
-Multimodal Video Categorization
-Sunghun Kang1[0000−0003−2632−7522], Junyeong Kim1[0000−0002−7871−9627],
-Hyunsoo Choi2, Sungjin Kim2, and Chang D. Yoo1
-KAIST, Daejeon, South Korea
-{sunghun.kang, junyeong.kim,
-SAMSUNG ELECTRONICS CO.,LTD, Seoul, South Korea
-{hsu.choi,"

 1cbc189a4484cd2b1371798bae2ff50c0442ce60,A Hybrid Loss for Multiclass and Structured Prediction,"IEEE TRANSACTIONS ON PATTERN ANALYSIS & MACHINE INTELLIGENCE, FINAL DRAFT, FEB. 2014
 A Hybrid Loss for Multiclass
 nd Structured Prediction
@@ -30974,30 +26373,6 @@ Language Acquisition in Virtual Environment
 Haonan Yu, Haichao Zhang, and Wei Xu
 Baidu Research - Institue of Deep Learning
 Sunnyvale, CA 94089"

-1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3,Dynamic Image-to-Class Warping for Occluded Face Recognition,"Dynamic Image-to-Class Warping for Occluded
-Face Recognition
-Xingjie Wei, Chang-Tsun Li, Senior Member, IEEE, Zhen Lei, Member, IEEE,
-Dong Yi, and Stan Z. Li, Fellow, IEEE"

-1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee,Deep fusion of visual signatures for client-server facial analysis,"Deep fusion of visual signatures
-for client-server facial analysis
-Binod Bhattarai
-Normandie Univ, UNICAEN,
-ENSICAEN, CNRS, GREYC
-Gaurav Sharma
-Computer Sc. & Engg.
-IIT Kanpur, India
-Frederic Jurie
-Normandie Univ, UNICAEN,
-ENSICAEN, CNRS, GREYC
-Facial analysis is a key technology for enabling human-
-machine interaction.
-In this context, we present a client-
-server framework, where a client transmits the signature of
-face to be analyzed to the server, and, in return, the server
-sends back various information describing the face e.g. is the
-person male or female, is she/he bald, does he have a mus-
-tache, etc. We assume that a client can compute one (or a
-ombination) of visual features; from very simple and ef‌f‌i-"

 1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac,Nonnegative matrix factorization for segmentation analysis,"Nonnegative matrix factorization for
 segmentation analysis
 Roman Sandler
@@ -31011,10 +26386,6 @@ Huijuan Xu
 UMass Lowell
 Kate Saenko
 UMass Lowell"

-1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,"The Emergence of Visual Crowdsensing:
-Challenges and Opportunities
-Bin Guo, Senior Member, IEEE, Qi Han,Member, IEEE , Huihui Chen, Longfei Shangguan, Member, IEEE,
-Zimu Zhou, Member, IEEE, and Zhiwen Yu, Senior Member, IEEE"

 1ce3a91214c94ed05f15343490981ec7cc810016,Exploring photobios,"Exploring Photobios
 Ira Kemelmacher-Shlizerman1
 Eli Shechtman2
@@ -31031,13 +26402,6 @@ Moustapha Cisse
 Facebook AI Research
 Natalia Neverova*
 Facebook AI Research"

-1cf01968594ae59d28b12c9a35fc43d944563071,Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram,"Computer Applications: An International Journal (CAIJ), Vol.2, No.1, February 2015
-LOW-LEVEL FEATURES FOR IMAGE RETRIEVAL BASED
-ON EXTRACTION OF DIRECTIONAL BINARY PATTERNS
-AND ITS ORIENTED GRADIENTS HISTOGRAM
-Nagaraja S. and Prabhakar C.J.
-Department of P.G. Studies and Research in Computer Science
-Kuvempu University, India"

 1cd584f519d9cd730aeef1b1d87f7e2e82b4de59,A fully automatic face recognition system using a combined audio-visual approach ∗,"A fully automatic face recognition system using a combined
 udio-visual approach ∗
 Alberto Albiol†, Luis Torres†, and Edward J. Delp? †
@@ -31072,31 +26436,6 @@ AVCOE Sangamner"
 Hierarchical Adaptive Structural SVM for Domain Adaptation
 Jiaolong Xu · Sebastian Ramos · David V´azquez · Antonio M. L´opez
 Received: date / Accepted: date"

-1c9da6cef6b1be9c116b26dd52c341c0adcf7db2,Interactive Perception: Leveraging Action in Perception and Perception in Action,"Interactive Perception: Leveraging Action in
-Perception and Perception in Action
-Jeannette Bohg*, Member, IEEE, Karol Hausman*, Student Member, IEEE, Bharath Sankaran*, Student
-Member, IEEE, Oliver Brock, Senior Member, IEEE, Danica Kragic, Fellow, IEEE, Stefan Schaal, Fellow, IEEE,
-nd Gaurav Sukhatme, Fellow, IEEE"

-1c3ec6379ba664d52d250ac1647d379ec970fa5c,Object proposal by multi-branch hierarchical segmentation,"Object Proposal by Multi-branch Hierarchical Segmentation
-Chaoyang Wang1,3, Long Zhao2,3, Shuang Liang2, Liqing Zhang1, Jinyuan Jia2, Yichen Wei3
-Shanghai Jiao Tong University. 2Tongji University. 3Microsoft Research.
-Segmentation based object proposal methods [1, 2, 5, 6, 8] have become an
-important step in modern object detection paradigm. Among those, hierar-
-hical segmentation is favorable for its ability to capture objects of all scales
-nd has fast implementation such as hierarchical greedy merging [6, 8].
-However, single-way hierarchical greedy merging is fundamentally flawed
-in that the errors in early steps of greedy merging cannot be corrected and
-ccumulate.
-In this work, we propose a novel multi-branch hierarchical
-segmentation approach that alleviates such problems by learning multiple
-merging strategies in each step in a complementary manner, such that errors
-in one merging strategy could be corrected by the others. This approach
-turns the original hierarchical greedy merging’s sequential evolution struc-
-ture into a tree-like structure. As illustrated in Fig. 1, different merging
-strategies are tried throughout the greedy merging process, which we call
-ranching. Objects, especially large and complex ones will get a better
-hance to be detected in one of those tree branches.
-To make our multi-branched hierarchical segmentation effective, we ad-"

 1c3073b57000f9b6dbf1c5681c52d17c55d60fd7,Direction de thèse:,"THÈSEprésentéepourl’obtentiondutitredeDOCTEURDEL’ÉCOLENATIONALEDESPONTSETCHAUSSÉESSpécialité:InformatiqueparCharlotteGHYSAnalyse,Reconstruction3D,&AnimationduVisageAnalysis,3DReconstruction,&AnimationofFacesSoutenancele19mai2010devantlejurycomposéde:Rapporteurs:MajaPANTICDimitrisSAMARASExaminateurs:MichelBARLAUDRenaudKERIVENDirectiondethèse:NikosPARAGIOSBénédicteBASCLE"

 1ca155a4b65ae19ccb73df48516e4775770a382c,Action Representations in Robotics: A Taxonomy and Systematic Classification,"Action representations in robotics: A
 taxonomy and systematic classification
@@ -31114,10 +26453,6 @@ Supervision
 Yalong Jiang1                                                                   1Department of Electronic and Information
 Engineering
 Zheru Chi1                                                                             The Hong Kong Polytechnic University, HK"

-1cc3c5f242d885738e9349a91d4beba82ae106a6,Scalable nonconvex inexact proximal splitting,"Scalable nonconvex inexact proximal splitting
-Suvrit Sra
-Max Planck Institute for Intelligent Systems
-72076 T¨ubigen, Germany"

 1c40cb899fccbe98a2bb63088e02d6c59e87c187,An Interaction Framework for a Cooperation between Fully Automated Vehicles and External Users in Semi-stationary Urban Scenarios,

 1c521ac6e68436f6c6aad3c0eb7ffa557fe25b0d,Modeling Image Patches with a Generic Dictionary of Mini-epitomes,"Modeling Image Patches with a Generic Dictionary of Mini-Epitomes
 George Papandreou
@@ -31126,11 +26461,6 @@ Liang-Chieh Chen
 UC Los Angeles
 Alan L. Yuille
 UC Los Angeles"

-1cb68fa98a0d9871a394cd0035488df167b9c2cf,RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation,"RedNet: Residual Encoder-Decoder Network for
-indoor RGB-D Semantic Segmentation
-Jindong Jiang, Lunan Zheng, Fei Luo, and Zhijun Zhang
-The School of Automation Science and Engineering, South China University of
-Technology, Guangzhou 510640, China"

 1cf29a0131211079fc73908ecf211ee78f090ad9,Regionlets for Generic Object Detection,"Regionlets for Generic Object Detection
 Xiaoyu Wang Ming Yang
 Shenghuo Zhu
@@ -31177,26 +26507,6 @@ Detection stream
 horse
 0.04 0.01 0.07 0.88
 person 0.02 0.03 0.91 0.04"

-1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8,RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization,"Hindawi Publishing Corporation
-EURASIP Journal on Image and Video Processing
-Volume 2009, Article ID 164019, 12 pages
-doi:10.1155/2009/164019
-Research Article
-RVM-Based Human Action Classification in Crowd through
-Projection and Star Skeletonization
-B. Yogameena, S. Veeralakshmi, E. Komagal, S. Raju, and V. Abhaikumar
-Department of Electronics and Communication Engineering, Thiagarajar College of Engineering,
-Madurai 625015, Tamil Nadu, India
-Correspondence should be addressed to B. Yogameena,
-Received 1 February 2009; Revised 17 May 2009; Accepted 26 August 2009
-Recommended by Amit Roy-Chowdhury
-Detection of abnormal human actions in the crowd has become a critical problem in video surveillance applications like terrorist
-ttacks. This paper proposes a real-time video surveillance system which is capable of classifying normal and abnormal actions of
-individuals in a crowd. The abnormal actions of human such as running, jumping, waving hand, bending, walking and fighting
-with each other in a crowded environment are considered. In this paper, Relevance Vector Machine (RVM) is used to classify
-the abnormal actions of an individual in the crowd based on the results obtained from projection and skeletonization methods.
-Experimental results on benchmark datasets demonstrate that the proposed system is robust and ef‌f‌icient. A comparative study of
-lassification accuracy between Relevance Vector Machine and Support Vector Machine (SVM) classification is also presented."

 1cc0183d8fbef098d29b6b5f621745ff099f6c6c,Joint Discovery of Object States and Manipulation Actions,"Joint Discovery of Object States and Manipulation Actions
 Jean-Baptiste Alayrac∗ †
 Josef Sivic∗ † ‡
@@ -31282,24 +26592,6 @@ scientifiques de niveau recherche, publi´es ou non,
 Annotation: A Generative Adversarial Network
 Approach
 Avisek Lahiri*, Vineet Jain*, Arnab Mondal*, and Prabir Kumar Biswas, Senior Member, IEEE"

-45c4514ca2b7903b4c8f43e396bce73f014b72be,Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification,"Journal of Information Hiding and Multimedia Signal Processing
-Ubiquitous International
-(cid:13)2015 ISSN 2073-4212
-Volume 6, Number 5, September 2015
-Parallel Feature Extraction through Preserving
-Global and Discriminative Property for Kernel-Based
-Image Classification
-Xun-Fei Liu, and Xiang-Xian Zhu
-Department of Electrical Engineering
-Suzhou Institute of Industrial Technology
-Suzhou, 215104, China
-Received May, 2015; revised June, 2015"

-45bedfcb562e48a64436ea3131bc91098eb93dab,Incremental update of biometric models in face-based video surveillance,"Incremental Update of Biometric Models in
-Face-Based Video Surveillance
-Miguel De-la-Torre∗†, Eric Granger∗, Paulo V. W. Radtke∗, Robert Sabourin∗, Dmitry O. Gorodnichy‡
-´Ecole de technologie sup´erieure, Montr´eal, Canada
-Centro Universitario de Los Valles, Universidad de Guadalajara, Ameca, M´exico
-Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada"

 4583d7d1d76dfe18e86e91f7438ce1a03cdcf68f,3D Face: biometric template protection for 3d face recognition,"\3D Face"": Biometric Template Protection for
 D Face Recognition
 E.J.C. Kelkboom, B. G(cid:127)okberk, T.A.M. Kevenaar, A.H.M. Akkermans, and M.
@@ -31367,12 +26659,6 @@ Authors:
 Filani Araoluwa S., Adetunmbi Adebayo O.
 10.5120/ijca2016907932
 {bibtex}2016907932.bib{/bibtex}"

-45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018
-DAC-SDC Low Power Object Detection
-Challenge for UAV Applications
-Xiaowei Xu, Member, IEEE, Xinyi Zhang, Student Member, IEEE, Bei Yu, Senior Member, IEEE, Xiaobo
-Sharon Hu, Fellow, IEEE, Christopher Rowen, Fellow, IEEE, Jingtong Hu, Member, IEEE, and Yiyu
-Shi, Senior Member, IEEE"

 4560491820e0ee49736aea9b81d57c3939a69e12,Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications,"Investigating the Impact of Data Volume and
 Domain Similarity on Transfer Learning
 Applications
@@ -31390,11 +26676,6 @@ Armine Vardazaryan1, Didier Mutter2, Jacques Marescaux2, and
 Nicolas Padoy1
 ICube, University of Strasbourg, CNRS, IHU Strasbourg, France
 University Hospital of Strasbourg, IRCAD, IHU Strasbourg, France"

-459e840ec58ef5ffcee60f49a94424eb503e8982,One-shot Face Recognition by Promoting Underrepresented Classes,"One-shot Face Recognition by Promoting Underrepresented Classes
-Yandong Guo, Lei Zhang
-Microsoft
-One Microsoft Way, Redmond, Washington, United States
-{yandong.guo,"

 453e311c6de1285cd5ea6d93fd78a636eac0ba82,Multi patches 3D facial representation for person authentication using AdaBoost,"Multi patches 3D facial representation for Person
 Authentication using AdaBoost
 Lahoucine Ballihi, Boulbaba Ben Amor, Mohamed Daoudi, Anuj Srivastava
@@ -31415,20 +26696,6 @@ broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,"

-455943924a98593655ae7197ee3835b9f6a3b778,Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning,"Visual SLAM for Automated Driving:
-Exploring the Applications of Deep Learning
-Stefan Milz, Georg Arbeiter, Christian Witt
-Valeo Schalter und Sensoren GmbH
-Bassam Abdallah
-Valeo Vision, Bobigny
-stefan.milz, georg.arbeiter,
-Senthil Yogamani
-Valeo Vision Systems, Ireland"

-4562272025a5bcdb321408116c699798a7997847,Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection,"Leveraging RGB-D Data: Adaptive Fusion and
-Domain Adaptation for Object Detection
-Luciano Spinello and Kai O. Arras
-Social Robotics Lab, University of Freiburg, Germany
-{spinello,"

 4534d78f8beb8aad409f7bfcd857ec7f19247715,Transformation-Based Models of Video Sequences,"Under review as a conference paper at ICLR 2017
 TRANSFORMATION-BASED MODELS OF VIDEO
 SEQUENCES
@@ -31614,13 +26881,7 @@ Stefan K¨onig∗"
 Levodopa-Induced Dyskinesia with Deep
 Learning Pose Estimation
 Michael H. Li, Tiago A. Mestre, Susan H. Fox, Babak Taati*"

-457abee61182a320b301d73ecceff00d055f596e,Face Recognition Using Line Edge Map,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 6,
-JUNE 2002
-Face Recognition Using Line Edge Map
-Yongsheng Gao, Member, IEEE, and Maylor K.H. Leung, Member, IEEE"

 458713d5c1dd8ff95865302e51f0f8df22204d91,ON FACE RECOGNITION USING DIFFERENT PRE-PROCESSING METHODS IN IMAGES CAPTURED UNDER VARIOUS ILLUMINATION AND POSING CONDITIONS,

-454ec30d0a491800458a52a5aa655eb76a28f4f5,3-D Object Recognition Using 2-D Views,"-D Object Recognition Using 2-D Views
-Wenjing Li, Member, IEEE, George Bebis, Member, IEEE, and Nikolaos G. Bourbakis, Fellow, IEEE"

 45ae4c0cdc2df02c278995623b2e25ae5cc4c91f,Visual Search for Musical Performances and Endoscopic Videos,"Visual Search
 for Musical Performances
 nd Endoscopic Videos
@@ -31666,9 +26927,6 @@ National Institute of Technology, Toyota College, Japan
 Correspondence: Taichi Hayasaka, Department of Information and Computer Engineering, National Institute of Technology,
 Toyota College, 2-1 Eisei, Toyota-shi, Aichi, 471-8525 Japan,
 E-mail: phone +81 565 36 5861, fax +81 565 36 5926"

-2bbb772332a90b2aba893f7467daa76b373be240,Extracting 3D Layout From a Single Image Using Global Image Structures,"Extracting 3D Layout From a Single Image
-Using Global Image Structures
-Zhongyu Lou, Theo Gevers, Member, IEEE, and Ninghang Hu"

 2bdc0c79b26fed51bc2af1af16117879ee3f571e,Augmented Multitouch Interaction upon a 2-DOF Rotating Disk,"Augmented Multitouch Interaction
 upon a 2-DOF Rotating Disk
 Xenophon Zabulis, Panagiotis Koutlemanis, and Dimitris Grammenos
@@ -31678,9 +26936,6 @@ Herakleion, Crete, Greece"
 Krishnam Gupta1, Syed Ashar Javed2, Vineet Gandhi2 and K. Madhava Krishna2
 evidences is more likely to perform the task better. Recent
 efforts [3] on multi modal fusion also suggests likewise."

-2b9082b6b5266f6f7d7a95892f30cc84138697e5,Video Person Re-Identification by Temporal Residual Learning,"Video Person Re-identification by Temporal
-Residual Learning
-Ju Dai∗, Pingping Zhang∗, Huchuan Lu, Senior Member, IEEE, and Hongyu Wang, Member, IEEE"

 2bfb43cb0e72aaa7aff71007bb420df2c9ae4375,Deep Attentional Structured Representation Learning for Visual Recognition,": DEEP ATTENTIONAL STRUCTURED REPRESENTATION LEARNING
 Deep Attentional Structured Representation
 Learning for Visual Recognition
@@ -31817,27 +27072,6 @@ http://lear.inrialpes.fr/people/schmid
 LEAR - INRIA Grenoble, LJK
 655, avenue de l’Europe
 8330 Montbonnot, France"

-2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7,Fast Support Vector Classifier for automated content-based search in video surveillance,"Fast Support Vector Classifier for Automated
-Content-based Search in Video Surveillance
-Cătălin A. Mitrea1, Ionuț Mironică1, Bogdan Ionescu1,2, Radu Dogaru1
-LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061971, Romania
-LISTIC, University Savoie Mont Blanc, 74940 Annecy-le-Vieux, France
-Email:
-for  multiple-instance  human  retrieval"

-2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,"ISSN(Online): 2320-9801
-ISSN (Print):  2320-9798
-International Journal of Innovative Research in Computer and Communication Engineering
-(An ISO 3297: 2007 Certified Organization)
-Vol.2, Special Issue 1, March 2014
-Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
-Organized by
-Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
-Face Verification across Ages Using Self
-Organizing Map
-B.Mahalakshmi1, K.Duraiswamy2, P.Gnanasuganya3, P.Aruldhevi4, R.Sundarapandiyan5
-Associate Professor, Department of CSE, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India1
-Dean, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India2
-B.E, Department of CSE, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India3, 4, 5"

 2b3fe9a0356eaf50f1340dda3f3d14f6904905ec,Taking advantage of sensor modality specific properties in Automated Driving Extended Abstract,"Taking advantage of sensor modality specific properties in
 Automated Driving"

 2badc4c87a7751dd5ae1797bc4091d10d1acf442,Multimodal Retrieval with Asymmetrically Weighted Regularized Canonical Correla- Tion Analysis,"Under review as a conference paper at ICLR 2016
@@ -31847,11 +27081,6 @@ TION ANALYSIS
 Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
 Multimodal Algorithms and Engines Group
 IBM T.J Watson Research Center, USA"

-2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,"CocoNet: A Deep Neural Network for Mapping
-Pixel Coordinates to Color Values
-Paul Andrei Bricman1 and Radu Tudor Ionescu2
-George Co¸sbuc National College, 29-31 Olari, Bucharest, Romania,
-University of Bucharest, 14 Academiei, Bucharest, Romania"

 2b8667df1a0332386d8d799fbac0327496ce02c9,Stranger danger : Parenthood increases the envisioned bodily formidability of menacing men ☆,"Evolution and Human Behavior 35 (2014) 109–117
 Contents lists available at ScienceDirect
 Evolution and Human Behavior
@@ -31877,31 +27106,6 @@ density estimation from space
 Andres C. Rodriguez and Jan D. Wegner
 ETH Zurich, Stefano-franscini-platz 5 8093 Zurich, Switzerland
 Accepted at GCPR 2018"

-2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,"JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 32, XXXX-XXXX (2016)
-Robust Facial Expression Recognition using Local Haar
-Mean Binary Pattern
-MAHESH GOYANI1, NARENDRA PATEL2
-,2 Department of Computer Engineering
-Charotar University of Science and Technology, Changa, India
-Gujarat Technological University, V.V.Nagar, India
-E-mail:
-In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Bina-
-ry Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local
-Mean  Binary  Pattern  (LMBP)  of  it.  LMBP  code  of  pixel  is  obtained  by  weighting  the
-thresholded neighbor value of 3  3 patch on its mean. LHMBP produces highly discrimina-
-tive code compared to other state of the art methods. To localize appearance features, ap-
-proximation subband is divided into M  N regions. LHMBP feature descriptor is derived
-y  concatenating  LMBP  distribution  of  each  region.  We  also  propose  a  novel  template
-matching strategy called Histogram Normalized Absolute Difference (HNAD) for histogram
-ased  feature  comparison.  Experiments  prove  the  superiority  of  HNAD  over  well-known
-template  matching  techniques  such  as  L2  norm  and  Chi-Square.  We  also  investigated
-LHMBP for expression recognition in low resolution. The performance of the proposed ap-
-proach is tested on well-known CK, JAFFE, and SFEW facial expression datasets in diverse"

-2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 4, AUGUST 2012
-A New Biased Discriminant Analysis Using
-Composite Vectors for Eye Detection
-Chunghoon Kim, Member, IEEE, Sang-Il Choi, Member, IEEE,
-Matthew Turk, Senior Member, IEEE, and Chong-Ho Choi, Member, IEEE"

 2b507f659b341ed0f23106446de8e4322f4a3f7e,Deep Identity-aware Transfer of Facial Attributes,"Deep Identity-aware Transfer of Facial Attributes
 Mu Li1, Wangmeng Zuo2, David Zhang1
 The Hong Kong Polytechnic University 2Harbin Institute of Technology"

@@ -32055,10 +27259,6 @@ What Works
 .3 Reconstruction, Localization, Navigation, and
 Visual SLAM
 .4 Object Recognition"

-469d249a40639d4ffb62abfb2c25f5aab0812fa4,Image Inspired Poetry Generation in XiaoIce,"Image Inspired Poetry Generation in XiaoIce∗
-Wen-Feng Cheng1,2, Chao-Chung Wu2, Ruihua Song1, Jianlong Fu1, Xing Xie1, Jian-Yun Nie3
-{wencheng, rsong, jianf,
-Microsoft, 2National Taiwan University, 3University of Montreal"

 46f3b113838e4680caa5fc8bda6e9ae0d35a038c,Automated Dermoscopy Image Analysis of Pigmented Skin Lesions,"Cancers 2010, 2, 262-273; doi:10.3390/cancers2020262
 OPEN ACCESS
 ancers
@@ -32077,35 +27277,6 @@ ACS, Advanced Computer Systems, Via della Bufalotta 378, 00139 Rome, Italy
 Fax: +390815569693.
 Received: 23 February 2010; in revised form: 15 March 2010 / Accepted: 25 March 2010 /
 Published: 26 March 2010"

-469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,"MIT International Journal of Computer Science and Information Technology, Vol. 4, No. 2, August 2014, pp. 82-88
-ISSN 2230-7621©MIT Publications
-SURVEy: Techniques for
-Aging Problems in Face Recognition
-Aashmi
-Sakshi Sahni
-Sakshi Saxena
-Scholar, Computer Science Engg. Dept.
-Moradabad Institute of Technology
-Scholar, Computer Science Engg. Dept.
-Moradabad Institute of Technology
-Scholar, Computer Science Engg. Dept.
-Moradabad Institute of Technology
-Moradabad, U.P., INDIA
-Moradabad, U.P., INDIA
-Moradabad, U.P., INDIA
-E-mail:
-E-mail:
-E-mail:"

-468322e98f87a33d926aad99295acc2919b2ca0b,Wally: crowd powered image matching on tablets,"Wally – Crowd powered image matching on tablets
-Deepak Pai
-Adobe Systems India Pvt Ltd
-Bangalore
-India
-91-80-41939984
-James Davis
-UC Santa Cruz
-California
--650-799-2574"

 4640dfc0bfe7923c08d0c762a9c33b52b9029409,Head Movement and Facial Expression Transfer from 2 D Video to a 3 D Model,"Head Movement and Facial Expression Transfer
 from 2D Video to a 3D Model
 Mairead Grogan
@@ -32143,8 +27314,6 @@ Annotations
 Toru Ogawa · Atsushi Otsubo · Rei
 Narita · Yusuke Matsui · Toshihiko
 Yamasaki · Kiyoharu Aizawa"

-46f5bb35ea99c62320199b1f0924a4e7c0b001d3,Perspective-Aware CNN For Crowd Counting,"Perspective-Aware CNN For Crowd Counting
-Miaojing Shi, Zhaohui Yang, Chao Xu, Member, IEEE, and Qijun Chen, Senior Member, IEEE"

 4679f4a7da1cf45323c1c458b30d95dbed9c8896,Recognizing Facial Expressions Using Model-Based Image Interpretation,"We are IntechOpen,
 the world’s leading publisher of
 Open Access books
@@ -32208,18 +27377,6 @@ Stanford University and Max Planck Institute for Informatics"
 46fbf807f1c0c863aa35d3d8acb40870182d3b28,Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis,"Multi-Instance Dynamic Ordinal Random Fields for
 Weakly-supervised Facial Behavior Analysis
 Adria Ruiz∗, Ognjen (Oggi) Rudovic†, Xavier Binefa∗ and Maja Pantic(cid:5)"

-46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611
-Face Recognition using TSF Model and DWT based
-Multilevel Illumination Normalization
-Midhun Madhusoodanan1, Jini Cheriyan2
-M.Tech Scholar (Signal Processing), Department of Electronics and Communication, TKM Institute of Technology,
-MusaliarHills, Karuvelil P.O, Ezhukone, Kollam-691505, Kerala, India
-Assistant Professor, Department of Electronics and Communication, TKM Institute of Technology,
-Musaliar Hills, Karuvelil P.O, Ezhukone, Kollam-691505, Kerala, India
-recognition
-is  a"

 46299c9db8a4570d060ee8fc1616c4a148056365,IJCSI Publicity Board 2011,"IJCSI
 IJCSI
 International Journal of
@@ -32228,9 +27385,6 @@ Computer Science Issues
 www.IJCSI.org
 Volume 7, Issue 5, September 2010
 ISSN (Online): 1694-0814"

-46d0a519da10160a20a3070cc53e5b9401066526,Incremental Learning of Random Forests for Large-Scale Image Classification,"Incremental Learning of Random Forests for
-Large-Scale Image Classification
-Marko Ristin, Matthieu Guillaumin, Juergen Gall, Member, IEEE and Luc Van Gool, Member, IEEE"

 46106d9f9d9b90401b7984794536e2f45fff1dbe,Learning Distance Functions for Automatic Annotation of Images,"Learning Distance Functions for
 Automatic Annotation of Images
 Josip Krapac and Fr´ed´eric Jurie
@@ -32249,10 +27403,6 @@ Associate Professor
 Department of Computer Engineering
 KKWIEER, Nashik, India.
 Savitribai Phule Pune University,Pune"

-4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,"Investigating the Discriminative Power of Keystroke
-Sound
-Joseph Roth Student Member, IEEE,, Xiaoming Liu, Member, IEEE, Arun Ross, Senior Member, IEEE,
-nd Dimitris Metaxas, Member, IEEE"

 4682fee7dc045aea7177d7f3bfe344aabf153bd5,Tabula rasa: Model transfer for object category detection,"Tabula Rasa: Model Transfer for
 Object Category Detection
 Yusuf Aytar & Andrew Zisserman,
@@ -32384,12 +27534,6 @@ Sand 14, 72076 Tbingen, Germany
 Enkelejda Kasneci
 Eberhard Karls Universit¨at T¨ubingen
 Sand 14, 72076 Tbingen, Germany"

-3a4c70ca0bbd461fe2e4de3448a01f06c0217459,Accurate Vision-based Vehicle Localization using Satellite Imagery,"Accurate Vision-based Vehicle Localization using Satellite Imagery
-Hang Chu
-Hongyuan Mei
-Mohit Bansal
-Matthew R. Walter
-Toyota Technological Institute at Chicago, Chicago, IL 60637, USA"

 3a89236bb9fb3198a45089fb4a99ddba070d0cba,Image Area Reduction for Efficient Medical Image Retrieval,"Image Area Reduction for Ef‌f‌icient
 Medical Image Retrieval
 Zehra Camlica
@@ -32425,11 +27569,6 @@ Italy
 University of North Carolina Wilmington
 Master of Science in
 Computer Science and Information Systems"

-3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,"JANUARY-MARCH 2012
-A Multimodal Database for
-Affect Recognition and Implicit Tagging
-Mohammad Soleymani, Member, IEEE, Jeroen Lichtenauer,
-Thierry Pun, Member, IEEE, and Maja Pantic, Fellow, IEEE"

 3acfbc2aee9b2ed246a640930ebc2e350621f990,Progressive Boosting for Class Imbalance,"Progressive Boosting for Class Imbalance
 Roghayeh Soleymania,∗, Eric Grangera, Giorgio Fumerab
 Laboratoire d’imagerie, de vision et d’intelligence artificielle, ´Ecole de technologie sup´erieure
@@ -32471,25 +27610,10 @@ Xianfeng Gu
 Dept of Comp Sci
 Stony Brook Univ
 Stony Brook, USA"

-3a564db6701cc64a4bf336e6012ada0952fed02d,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,"International Journal of Computer Applications (0975 – 8887)
-Volume 179 – No.21, February 2018
-Comparative Study of Diverse Face Recognition
-Approaches along with Intrinsic Worth and Recognition
-Shivang Shukla
-Department of Computer Science
-Medi-Caps Institute of Science and Technology
-Indore, Madhya Pradesh, India
-Sourabh Dave
-Department of Information Technology
-Medi-Caps Inst. Of Science and Technology
-Indore, Madhya Pradesh, India"

 3a591a9b5c6d4c62963d7374d58c1ae79e3a4039,Driver Cell Phone Usage Detection from HOV/HOT NIR Images,"Driver Cell Phone Usage Detection From HOV/HOT NIR Images
 Yusuf Artan, Orhan Bulan, Robert P. Loce, and Peter Paul
 Xerox Research Center Webster
 800 Phillips Rd. Webster NY 14580"

-3a95eea0543cf05670e9ae28092a114e3dc3ab5c,Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering,"Constructing the L2-Graph for Robust Subspace
-Learning and Subspace Clustering
-Xi Peng, Zhiding Yu, Huajin Tang, Member, IEEE, and Zhang Yi, Senior Member, IEEE"

 3aef744dad3982a7ae1ad97b4f126b6772fc3d07,Scene-Centric Joint Parsing of Cross-View Videos,"Scene-centric Joint Parsing of Cross-view Videos
 Hang Qi1∗, Yuanlu Xu1∗, Tao Yuan1∗, Tianfu Wu2, Song-Chun Zhu1
 Dept. Computer Science and Statistics, University of California, Los Angeles (UCLA)
@@ -32503,10 +27627,6 @@ Zaragoza. 5018, María de Luna 7-8, Spain
 University of Zaragoza, Computer Science and Systems Engineering Department,
 Zaragoza. 50018, María de Luna 3, Spain
 {sballano, {ecerezo,"

-3aee6a6285869e6db48ad269eb110b542ad23c93,One-Click Annotation with Guided Hierarchical Object Detection,"One - Click Annotation with Guided Hierarchical Object Detection
-Adithya Subramanian, Anbumani Subramanian
-Intel
-Bangalore, India"

 3a9681e2e07be7b40b59c32a49a6ff4c40c962a2,"Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis","Biometrics & Biostatistics International Journal
 Comparing treatment means: overlapping standard
 errors, overlapping confidence intervals, and tests of
@@ -32583,20 +27703,6 @@ Publisher: UCSD Institute for Neural Computation
 Location: The Salk Institute for Biological Studies
 La Jolla California, USA
 ISBN: 0-615-12704-5"

-3abfd884d553f91cd6c9c8b704bbeb9b49d171d3,A Hybrid Color Space for Skin Detection Using Genetic Algorithm Heuristic Search and Principal Component Analysis Technique,"RESEARCH ARTICLE
-A Hybrid Color Space for Skin Detection
-Using Genetic Algorithm Heuristic Search and
-Principal Component Analysis Technique
-Mahdi Maktabdar Oghaz*☯, Mohd Aizaini Maarof☯, Anazida Zainal☯, Mohd Foad Rohani☯,
-S. Hadi Yaghoubyan☯
-Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
-☯ These authors contributed equally to this work."

-3aa98c08043558fec09bbf731cd7a8f09cf4eacf,Projective Nonnegative Matrix Factorization with α-Divergence,"Projective Nonnegative Matrix Factorization
-with α-Divergence
-Zhirong Yang and Erkki Oja
-Department of Information and Computer Science(cid:2)
-P.O. Box 5400, FI-02015, TKK, Espoo, Finland
-Helsinki University of Technology"

 3a37f57a9b94fff82ffea4e77803ebe5ebf6401b,ER7ST-algorithm for extracting facial expressions,"068                                                                 The International Arab Journal of Information Technology Vol. 13, No. 6B, 2016
 ER7ST-Algorithm for Extracting Facial Expressions
 Ahmad Tayyar1, Shadi Al-Shehabi2, and Majida AlBakoor3
@@ -32643,11 +27749,6 @@ Margaret Mitchell · Kota Yamaguchi · Karl Stratos · Amit Goyal ·
 Jesse Dodge · Alyssa Mensch · Hal Daum´e III · Alexander C. Berg ·
 Yejin Choi · Tamara L. Berg
 Received: date / Accepted: date"

-3a92a00b41dc6217f7685148c8a378524fa1a542,Human Pose Estimation Using Exemplars and Part Based Refinement,"Human Pose Estimation
-Using Exemplars and Part Based Refinement
-Yanchao Su1, Haizhou Ai1, Takayoshi Yamashita2, and Shihong Lao2
-Computer Science and Technology Department, Tsinghua, Beijing 100084, China
-Core Technology Center, Omron Corporation, Kyoto 619-0283, Japan"

 3a962138ede25d81a6d5aa42aa1abba649481f10,Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation,"Flow Fields: Dense Correspondence Fields for Highly Accurate Large
 Displacement Optical Flow Estimation
 Christian Bailer1
@@ -32687,11 +27788,6 @@ Aaditya Prakash and James Storer
 Brandeis University"

 3a0cceb1a10697e3e17738579d27708c9c3303a8,Data-Intensive Multimedia Semantic Concept Modeling using Robust Subspace Bagging and MapReduce,"Data-Intensive Multimedia Semantic Concept Modeling
 using Robust Subspace Bagging and MapReduce"

-3af16b0c1265cc9c8969f9c16ce65185297a2bfc,Regularizing Deep Networks by Modeling and Predicting Label Structure,"Regularizing Deep Networks by Modeling and Predicting Label Structure
-Mohammadreza Mostajabi
-Michael Maire
-Gregory Shakhnarovich
-Toyota Technological Institute at Chicago"

 3abf8e5f1f5778b99890b193de59a3a9031e3691,Revisiting Linear Discriminant Techniques in Gender Recognition,"Revisiting Linear Discriminant Techniques
 in Gender Recognition
 Juan Bekios-Calfa, Jose´ M. Buenaposada, and
@@ -32727,10 +27823,6 @@ Linguistics Meets Video Search
 Andrei Barbu∗
 N. Siddharth∗
 Jeffrey Mark Siskind∗"

-3ac09c2589178dac0b6a2ea2edf04b7629672d81,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017
-Wasserstein CNN: Learning Invariant Features
-for NIR-VIS Face Recognition
-Ran He, Senior Member, IEEE, Xiang Wu, Zhenan Sun∗, Member, IEEE, and Tieniu Tan, Fellow, IEEE"

 3acdccd33e518f22dcfe36ee29c332a644afdb25,Automatic Detection of Facial Midline And Its Contributions To Facial Feature Extraction,"Electronic Letters on Computer Vision and Image Analysis 6(3):55-66, 2008
 Automatic Detection of Facial Midline
 And Its Contributions To Facial Feature Extraction
@@ -32775,16 +27867,6 @@ Junkai Chen1, Zenghai Chen1, Zheru Chi1 and Hong Fu1,2
 Department of Electronic and Information Engineering, The Hong Kong Polytechnic
 University, Hong Kong
 Department of Computer Science, Chu Hai College of Higher Education, Hong Kong"

-b501361ad3ad4f78a3966830a40d2b4f68466c80,Night-time Vehicle Detection for Automatic Headlight Beam Control,"International Journal of Computer Applications (0975 – 8887)
-Volume 157 – No 7, January 2017
-Night-time Vehicle Detection for Automatic Headlight
-Beam Control
-Pushkar Sevekar
-Student, Department of
-Electronics Engineering
-A.I.S.S.M.S. Institute of
-Information Technology,
-Pune, India"

 b5160e95192340c848370f5092602cad8a4050cd,Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor,"Video Classification With CNNs: Using The Codec
 As A Spatio-Temporal Activity Sensor
 Aaron Chadha, Alhabib Abbas and Yiannis Andreopoulos, Senior Member, IEEE"

@@ -32793,9 +27875,6 @@ A TEACHER STUDENT NETWORK FOR FASTER VIDEO
 CLASSIFICATION
 Anonymous authors
 Paper under double-blind review"

-b54c477885d53a27039c81f028e710ca54c83f11,Semi-Supervised Kernel Mean Shift Clustering,"Semi-Supervised Kernel Mean Shift Clustering
-Saket Anand, Member, IEEE, Sushil Mittal, Member, IEEE, Oncel Tuzel, Member, IEEE,
-nd Peter Meer, Fellow, IEEE"

 b58417561ea400b60bd976104e43b1361e1314ba,Target Tracking In Real Time Surveillance Cameras and Videos,"Target Tracking In Real Time Surveillance
 Cameras and Videos
 Nayyab Naseem                                             Mehreen Sirshar
@@ -32820,18 +27899,6 @@ Abdolrahim Kadkhodamohammadi1, Afshin Gangi1,2, Michel de Mathelin1, Nicolas Pad
 ICube, University of Strasbourg, CNRS, IHU Strasbourg, France
 Radiology Department, University Hospital of Strasbourg, France
 {kadkhodamohammad, gangi, demathelin,"

-b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,"Recurrent Image Captioner: Describing Images with Spatial-Invariant
-Transformation and Attention Filtering
-Hao Liu
-UESTC, China
-Yang Yang
-UESTC, China
-Fumin Shen
-UESTC, China
-Lixin Duan
-UESTC, China
-Heng Tao Shen
-UESTC, China"

 b5f7b17b0feb3a1f3af60dce61fd9a9c6b067368,The Benefits of Dense Stereo for Pedestrian Detection,"The Benefits of Dense Stereo
 for Pedestrian Detection
 Christoph G. Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca,
@@ -32850,9 +27917,6 @@ Emma Sumner 1
 & Hayley C. Leonard 2 & Elisabeth L. Hill 3
 # The Author(s) 2018. This article is an open access publication"

 b5d1a7bc9f89ba9e8d99f6b151f83a4ff9220bb9,"A Framework for the Segmentation and Classification of 3D Point Clouds using Temporal, Spatial and Semantic Information",

-b54f15a02d8454333ca7dbca665f7712572b56e0,Role Playing Learning for Socially Concomitant Mobile Robot Navigation,"Role Playing Learning for Socially Concomitant
-Mobile Robot Navigation
-Mingming Li, Rui Jiang, Shuzhi Sam Ge, Fellow, IEEE, and Tong Heng Lee, Member, IEEE"

 b5857b5bd6cb72508a166304f909ddc94afe53e3,SSIG and IRISA at Multimodal Person Discovery,"SSIG and IRISA at Multimodal Person Discovery
 Cassio E. dos Santos Jr1, Guillaume Gravier2, William Robson Schwartz1
 Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
@@ -32951,12 +28015,6 @@ Major Professor: Gita R. Sukthankar"
 b55853483873d3947e8c962f1152128059369d93,DoShiCo challenge: Domain shift in control prediction,"DoShiCo challenge:
 Domain Shift in Control prediction
 Klaas Kelchtermans∗ and Tinne Tuytelaars∗"

-b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,"Spatiotemporal data fusion for precipitation
-nowcasting
-Vladimir Ivashkin
-Yandex, Moscow, Russia
-Vadim Lebedev
-Yandex, Moscow, Russia"

 b525a863eab597055e02351acfeab64754d22690,Pictorial Structures Revisited : Multiple Human Pose Estimation,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 D Pictorial Structures Revisited:
 Multiple Human Pose Estimation
@@ -32981,9 +28039,6 @@ Comparison of face Recognition Algorithms on
 Dummy Faces
 Aruni Singh, Sanjay Kumar Singh, Shrikant Tiwari
 Department of Computer Engineering, IT-BHU, Varanasi-India"

-b5050d74dd8f0384506bcd365b31044c80d476c0,Discriminative Multimetric Learning for Kinship Verification,"Discriminative Multimetric Learning
-for Kinship Verification
-Haibin Yan, Jiwen Lu, Member, IEEE, Weihong Deng, and Xiuzhuang Zhou, Member, IEEE"

 b5d14fee9658877abbbfa760dd9765db0af86ba6,Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review,"Revista Brasileira de Computação Aplicada, July, 2018
 DOI: 10.5335/rbca.v10i2.8046
 Vol. 10, No 2, pp. 2–17
@@ -33017,26 +28072,6 @@ Andreas Ess · Konrad Schindler · Bastian Leibe · Luc Van Gool"
 b52886610eda6265a2c1aaf04ce209c047432b6d,Microexpression Identification and Categorization Using a Facial Dynamics Map,"Microexpression Identification and Categorization
 using a Facial Dynamics Map
 Feng Xu, Junping Zhang, James Z. Wang"

-b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,"ORIGINAL RESEARCH
-published: 23 October 2015
-doi: 10.3389/fpsyt.2015.00150
-Face scanning in autism spectrum
-disorder and attention deficit/
-hyperactivity disorder: human
-versus dog face scanning
-Mauro Muszkat 1, Claudia Berlim de Mello 2, Patricia de Oliveira Lima Muñoz 3,
-Tania Kiehl Lucci 3, Vinicius Frayze David 3, José de Oliveira Siqueira 3 and Emma Otta 3*
-Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil, 2 Programa de Pós Graduação em
-Educação e Saúde, Universidade Federal de São Paulo, São Paulo, Brazil, 3 Departamento de Psicologia Experimental,
-Instituto de Psicologia, Universidade de São Paulo, São Paulo, Brazil
-This study used eye tracking to explore attention allocation to human and dog faces in chil-
-dren and adolescents with autism spectrum disorder (ASD), attention deficit/hyperactivity
-disorder (ADHD), and typical development (TD). Significant differences were found among
-the three groups. TD participants looked longer at the eyes than ASD and ADHD ones,
-irrespective of the faces presented. In spite of this difference, groups were similar in that
-they looked more to the eyes than to the mouth areas of interest. The ADHD group gazed
-longer at the mouth region than the other groups. Furthermore, groups were also similar
-in that they looked more to the dog than to the human faces. The eye-tracking tech-"

 b5dd744df6de73bd072b18d9108b79431a28c539,Gait Recognition With Shifted Energy Image and Structural Feature Extraction,"Gait Recognition with Shifted Energy Image
 nd Structural Feature Extraction
 Xiaxi Huang and Nikolaos V. Boulgouris, Senior Member, IEEE"

@@ -33081,26 +28116,6 @@ d745eaeb096fbf61ac0694e447acd2081a08b084,Ðáñáêïëïýèçóç
 ÄÉÄÁÊÔÏÑÉÊÏÕ ÄÉÐËÙÌÁÔÏÓ ÓÔÇÍ ÐËÇÑÏÖÏÑÉÊÇ
 ÄåêÝìâñéïò 2009"

 d7da0f595d135474cc2193d382b22458b313cdbf,Multi-View Constraint Propagation with Consensus Prior Knowledge.,Multi-View Constraint Propagation with Consensus Prior Knowledge

-d7d90d768c4770c356901f20077af9ad27efdfd0,Real-time dense map fusion for stereo SLAM,"doi:10.1017/xxxx
-Real-time Dense Map Fusion for Stereo SLAM
-Taih´u Pire†∗, Rodrigo Baravalle†, Ariel D’Alessandro† and
-Javier Civera‡
-CIFASIS, French Argentine International Center for Information and Systems
-Sciences (CONICET-UNR), Argentina
-University of Zaragoza, Spain
-(Accepted MONTH DAY, YEAR. First published online: MONTH DAY, YEAR)
-SUMMARY
-A robot should be able to estimate an accurate and dense 3D model of its environment
-(a map), along with its pose relative to it, all of it in real time, in order to be able to
-navigate autonomously without collisions.
-As the robot moves from its starting position and the estimated map grows, the
-omputational and memory footprint of a dense 3D map increases and might exceed the
-robot capabilities in a short time. However, a global map is still needed to maintain its
-onsistency and plan for distant goals, possibly out of the robot field of view.
-In this work we address such problem by proposing a real-time stereo mapping pipeline,
-feasible for standard CPUs, which is locally dense and globally sparse and accurate. Our
-lgorithm is based on a graph relating poses and salient visual points, in order to maintain
-long-term accuracy with a small cost. Within such framework, we propose an ef‌f‌icient"

 d7c659ce0442bf1047e7d2e942837b18105f6f47,Depth-Adaptive Deep Neural Network for Semantic Segmentation,"Depth Adaptive Deep Neural Network
 for Semantic Segmentation
 Byeongkeun Kang, Yeejin Lee, and Truong Q. Nguyen, Fellow, IEEE"

@@ -33117,32 +28132,6 @@ Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara
 University of Modena and Reggio Emilia
 Figure 1: Sample frames synthesized by the proposed framework. Given an initial RGB frame at time t0 and a set of following
 event frames at time t1, ..., tn as input, the proposed framework accordingly synthesizes a RGB frame for each time step."

-d7453fa0c70a15681e76b509fff6e1dd49f5a4a5,Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks,"Hindawi
-Advances in Multimedia
-Volume 2018, Article ID 5141402, 10 pages
-https://doi.org/10.1155/2018/5141402
-Research Article
-Indian Classical Dance Action Identification and Classification
-with Convolutional Neural Networks
-, K. V. V. Kumar
-, A. S. C. S. Sastry,
-P. V. V. Kishore
-M. Teja Kiran , D. Anil Kumar
-Department of Electronics and Communication Engineering, KL University, Vaddeswaram, Guntur, India
-, and M. V. D. Prasad
-, E. Kiran Kumar
-Correspondence should be addressed to P. V. V. Kishore;
-Received 13 October 2017; Accepted 20 December 2017; Published 22 January 2018
-Academic Editor: Lin Wu
-Copyright © 2018 P. V. V. Kishore et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-Extracting and recognizing complex human movements from unconstrained online/offline video sequence is a challenging task"

-d7fe2a52d0ad915b78330340a8111e0b5a66513a,Photo-to-Caricature Translation on Faces in the Wild,"Unpaired Photo-to-Caricature Translation on Faces in
-the Wild
-Ziqiang Zhenga, Chao Wanga, Zhibin Yua, Nan Wanga, Haiyong Zhenga,∗,
-Bing Zhenga
-No. 238 Songling Road, Department of Electronic Engineering, Ocean University of
-China, Qingdao, China"

 d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48,Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets,"Intention-Aware Multi-Human Tracking for
 Human-Robot Interaction via Particle Filtering over Sets
 Aijun Bai
@@ -33206,15 +28195,6 @@ Suhelah Sandokji1, Fathy Eassa2
 Faculty of Computing and Information Technology, KAU
 Jeddah ,Saudi Arabia
 studies  consider  partitioning"

-d7731565ec4cb1b910290ccb580405cb55224286,Robust Face Recognition via Adaptive Sparse Representation,"Robust Face Recognition via Adaptive Sparse
-Representation
-Jing Wang, Canyi Lu, Meng Wang, Member, IEEE, Peipei Li,
-Shuicheng Yan, Senior Member, IEEE, Xuegang Hu"

-d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,"The ApolloScape Dataset for Autonomous Driving
-Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao,
-Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang
-Baidu Research, Beijing, China
-National Engineering Laboratory of Deep Learning Technology and Application, China"

 d745cf8c51032996b5fee6b19e1b5321c14797eb,Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features,"Viewpoint Invariant Pedestrian Recognition
 with an Ensemble of Localized Features
 Douglas Gray and Hai Tao
@@ -33332,13 +28312,6 @@ d7f153112c51923c8e78036fc694220c9d4bf4bc,The 2018 DAVIS Challenge on Video Objec
 Video Object Segmentation
 Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen,
 Luc Van Gool, Federico Perazzi, and Jordi Pont-Tuset"

-d79121a03584123fad02c4f2607f0e63d08ff7c2,Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions,"Tracking Occluded Objects and Recovering Incomplete Trajectories
-y Reasoning about Containment Relations and Human Actions
-Wei Liang1,2
-Yixin Zhu2
-Song-Chun Zhu2
-Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, China
-Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles, USA"

 d7b850537ccf33cabc2f0b231553aad79ad43aa8,Grid Map based Free Space Estimation using Stereo Vision,"Grid Map based Free Space Estimation using Stereo Vision
 Hannes Harms1, Eike Rehder1 and Martin Lauer1"

 d7e8c6da1a95f41d8097b7b713890ccde13ef1d8,Development of an Efficient Face Recognition System Based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
@@ -33551,17 +28524,6 @@ RESIDUAL NETWORKS
 REGULARIZATION OF
 -BRANCH
 Xavier Gastaldi"

-220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,"Incremental Feature Transformation for Temporal Space
-International Journal of Computer Applications (0975 – 8887)
-Volume 145 – No.8, July 2016
-Preeti Mahadev
-University of Mysore,
-Mysuru, Karnataka,
-India
-P. Nagabhushan
-University of Mysore,
-Mysuru, Karnataka,
-India"

 22137ce9c01a8fdebf92ef35407a5a5d18730dde,Recognition of Faces from single and Multi-View Videos,

 227b1a09b942eaf130d1d84cdcabf98921780a22,Multi-feature shape regression for face alignment,"Yang et al. EURASIP Journal on Advances in Signal Processing  (2018) 2018:51
 https://doi.org/10.1186/s13634-018-0572-6
@@ -33586,10 +28548,6 @@ Pulkit Agrawal
 UC Berkeley
 Jitendra Malik
 UC Berkeley"

-224868cc607dc38b7eca8536018580c577f9fedf,Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles,"IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, MANUSCRIPT ID
-Exploring Temporal Patterns in Classifying
-Frustrated and Delighted Smiles
-Mohammed E. Hoque, Daniel J. McDuff, and Rosalind W. Picard, Member, IEEE"

 22d656a6395e22473b8764eddff759ea03f48032,Nonrigid Image Registration Using Higher-Order MRF Model with Dense Local Descriptor,"Nonrigid Image Registration Using Higher-Order MRF Model
 with Dense Local Descriptor
 Dongjin Kwon1, Kyong Joon Lee1, Il Dong Yun2, and Sang Uk Lee1
@@ -33643,26 +28601,6 @@ September 2011
 ANU Computer Science Technical Report Series"

 22c89775cb5309eae5ac1f9ce9d1c2d569439492,Face recognition based on extended separable lattice 2-D HMMS,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
 ICASSP 2012"

-224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,"Privacy Preserving Optics for Miniature Vision Sensors
-Francesco Pittaluga1, Sanjeev J. Koppal2
-,2Department of Electrical and Computer Engineering, University of Florida.
-We present a novel framework, which enables ”pre-capture” privacy, for
-miniature vision sensors. Most privacy preserving systems for computer
-vision, process images after capture. There exists a moment of vulnerabil-
-ity in such systems, after capture, when privacy has not yet been enforced.
-Our privacy sensors filter the incident light-field before image capture, while
-light passes through the sensor optics, so sensitive information is never mea-
-sured by the sensor. Within this framework, we introduce, to our knowledge,
-the first ever sensor that enables pre-capture k-anonymity and multiple sen-
-sors that achieve pre-capture privacy through optical defocus. We also show
-theory for miniaturizing the proposed designs, including a novel ”optical
-knapsack” solution for finding a field-of-view-optimal arrangement of op-
-tical elements. Our privacy preserving sensors enable applications such as
-ccurate depth sensing, full-body motion tracking, multiple people tracking
-nd low-power blob detection.
-Related Work. Ad hoc privacy preserving algorithms for video data, such
-s naive blurring, trade off data utility for privacy protection, as they rely
-on heavy distortion of the data, to thwart restoration attacks [3]. In con-"

 224ffad672f7e6c7995780eb9bd3c8a141cb25cd,Understanding pedestrian behaviors from stationary crowd groups,"Understanding Pedestrian Behaviors from Stationary Crowd Groups
 Shuai Yi1, Hongsheng Li1,2, Xiaogang Wang1
 Department of Electronic Engineering, The Chinese University of Hong Kong.
@@ -33683,16 +28621,6 @@ to model pedestrian behaviors.
 The Proposed Pedestrian Behavior Model
 A general energy map M is proposed to model the traveling difficulty of
 every location of the scene. It can be modeled with three channels calculated"

-2236294e803316c5934fa387f27d128fa7819a03,Iterative Human Pose Estimation based on A New Part Appearance Model,"Appl. Math. Inf. Sci. 8, No. 1L, 311-317 (2014)
-Applied Mathematics & Information Sciences
-An International Journal
-http://dx.doi.org/10.12785/amis/081L39
-Iterative Human Pose Estimation based on A New Part
-Appearance Model
-Wang Hao, Meng Fanhui and Fang Baofu∗
-School of Computer and Information, Hefei Universty of Technology, Hefei, China
-Received: 15 May. 2013, Revised: 9 Sep. 2013, Accepted: 10 Sep. 2013
-Published online: 1 Apr. 2014"

 22355c1b0a8af6b9e1cc2ef3fd5dce08edc48dd5,Learning to Detect Vehicles by Clustering Appearance Patterns,"(cid:13)2015IEEE.Personaluseofthismaterialispermitted.PermissionfromIEEEmustbeobtainedforallotheruses,inanycurrentorfuturemedia,includingreprinting/republishingthismaterialforadvertisingorpromotionalpurposes,creatingnewcollectiveworks,forresaleorredistributiontoserversorlists,orreuseofanycopyrightedcomponentofthisworkinotherworks."

 225f09fd8103626c486ea9bfcd3770858dcf1906,Strangeness Based Feature Selection for Part Based Recognition,"Strangeness Based Feature Selection for Part Based Recognition
 Fayin Li and Jana Koˇseck´a and Harry Wechsler
@@ -33730,13 +28658,6 @@ KyungHyun Cho, Tapani Raiko and Alexander Ilin
 Department of Information and Computer Science,
 Aalto University School of Science
 Email:"

-224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,"CONVOLUTIONAL NEURAL NETWORK FOR CAMERA POSE ESTIMATION FROM
-OBJECT DETECTIONS
-E. V. Shalnova, A. S. Konushina,b
-MSU, Faculty of Computational Mathematics and Cybernetics, Russia, 119991, Moscow, GSP-1, 1-52, Leninskiye Gory, -
-HSE, Faculty of Computer Science, Russia, 125319, Moscow, 3, Kochnovsky Proezd
-KEY WORDS: Camera Pose, CNN, Head Detection, Computer Graphics
-Commission II, WG II/5"

 221debbd7878ed303eaa4666f8df04a48e4c5070,Making Computer Vision Computationally Efficient,"Making computer vision computationally efficient
 Narayanan Sundaram
 Electrical Engineering and Computer Sciences
@@ -33753,42 +28674,8 @@ Zhe Lin2
 Adobe Research
 Li Zhang1
 http://www.cs.wisc.edu/~lizhang/projects/face-landmark-localization/"

-22029de24dbf6867658145264f36b161c40a09d8,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,"A Discriminative Representation of Convolutional
-Features for Indoor Scene Recognition
-S. H. Khan, M. Hayat, M. Bennamoun, Member, IEEE, R. Togneri, and F. Sohel, Senior Member, IEEE"

-7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),"NON-RIGID OBJECT DETECTION WITH LOCAL INTERLEAVED SEQUENTIAL ALIGNMENT (LISA)
-Non-Rigid Object Detection with Local
-Interleaved Sequential Alignment (LISA)
-Karel Zimmermann, Member, IEEE,, David Hurych, Member, IEEE,
-nd Tom´aˇs Svoboda, Member, IEEE"

-7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,"Article
-A Semantic Labeling Approach for Accurate Weed
-Mapping of High Resolution UAV Imagery
-Huasheng Huang 1,2,†, Yubin Lan 1,2,†, Jizhong Deng 1,2,*, Aqing Yang 3, Xiaoling Deng 2,3,
-Lei Zhang 2,4 and Sheng Wen 2,5
-College of Engineering, South China Agricultural University, Wushan Road, Guangzhou 510642, China;
-(H.H.); (Y.L.)
-National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide
-Spraying Technology, Wushan Road, Guangzhou 510642, China; (X.D.);
-(L.Z.); (S.W.)
-College of Electronic Engineering, South China Agricultural University, Wushan Road, Guangzhou 516042,
-China;
-College of Agriculture, South China Agricultural University, Wushan Road, Guangzhou 516042, China
-Engineering Fundamental Teaching and Training Center, South China Agricultural University,
-Wushan Road, Guangzhou 510642, China
-* Correspondence: Tel.: +86-20-8528-8201
-These authors contributed equally to this work and should be considered as co-first authors.
-Received: 13 May 2018; Accepted: 27 June 2018; Published: 1 July 2018"

 7c8d57ca9cbefd1c2b3f4d45ab6791adba2d6bb4,Two-Stage Hashing for Fast Document Retrieval,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 495–500,
 Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics"

-7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, OCTOBER 2018
-MsCGAN: Multi-scale Conditional Generative
-Adversarial Networks for Person Image
-Generation
-Wei Tang∗, Teng Li 
-† Anhui University, HeFei, China
-Hefei University, HeFei, China
-§ Hefei University of Technology, HeFei, China"

 7c2f2080473d25db73c53869337afb79d2135731,"Remondino , Gerke 75 Oblique Aerial Imagery – A Review","Remondino, Gerke
 Oblique Aerial Imagery – A Review
 Fabio Remondino, Trento
@@ -33809,13 +28696,6 @@ Dongning Wang
 Glenn M. Fung
 American Family Insurance, Strategic Data & Analytics, Madison, WI
 {lpolania, dwang1,"

-7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,"International Journal of Emerging Technology and Advanced Engineering
-Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 7, July 2015)
-Face Recognition and Feature Detection Using Artificial
-Neural Networks and ANFIS
-Sanjay Kumar Dekate1, Dr. Anupam Shukla2
-Research Scholar, Dr. C. V. Raman University, Bilaspur, India
-Professor, ABV-IIITM, Gwalior, India"

 7c26559e7269679ef52a85d02c6ff7000c2387d2,Towards a Development of a Learners’ Ratified Acceptance of Multi-biometrics Intentions Model (RAMIM): Initial Empirical Results,"Yair Levy, Michelle M. Ramim
 Towards a Development of a Learners’ Ratified
 Acceptance of Multi-biometrics Intentions Model
@@ -33840,25 +28720,9 @@ Anirudh Vemula, Katharina Muelling and Jean Oh"
 7c4864065f4e107cb5be49a8dba8cf7d94b8340f,Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow,"Multi-target Tracking by Lagrangian Relaxation to Min-Cost Network Flow
 Asad A. Butt and Robert T. Collins
 The Pennsylvania State University, University Park, PA. 16802, USA"

-7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,"Robust Eye Centers Localization
-with Zero–Crossing Encoded Image Projections
-Laura Florea
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
-Corneliu Florea
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
-Constantin Vertan
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313"

 7c7af300c4780ad01e7db4d60fbf89771672585b,Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning,"Detection and Segmentation of Manufacturing Defects with
 Convolutional Neural Networks and Transfer Learning
 Max Ferguson1 Ronay Ak2 Yung-Tsun Tina Lee2 and Kincho. H. Law1"

-7c0a6824b556696ad7bdc6623d742687655852db,MPCA+MDA: A novel approach for face recognition based on tensor objects,"8th Telecommunications forum TELFOR 2010
-Serbia, Belgrade, November 23-25, 2010.
-MPCA+DATER: A Novel Approach for Face
-Recognition Based on Tensor Objects
-Ali. A. Shams Baboli, Member, IEEE, G. Rezai-rad, Member, IEEE, Aref. Shams Baboli"

 7cda4fc187f446a52cc5c9ac0e6a0752c1f0d5e9,Domain-Specific Approximation for Object Detection,"© 2018 IEEE. DOI: 10.1109/MM.2018.112130335
 © 2018 IEEE. Personal use of this material is permitted.
 Permission from IEEE must be obtained for all other uses, in
@@ -33868,10 +28732,6 @@ promotional purposes, creating new collective works, for
 resale or redistribution to servers or lists, or reuse of any
 opyrighted component of this work in other works. DOI:
 0.1109/MM.2018.112130335"

-7c1db13ae2c62d1f860fd2664885c9c93a28cab8,Multistage Particle Windows for Fast and Accurate Object Detection,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
-Multi-Stage Particle Windows for Fast and
-Accurate Object Detection
-Giovanni Gualdi, Andrea Prati, Member, IEEE, and Rita Cucchiara, Member, IEEE"

 7c98c27f4be40a7675ba9c85179ce72d12593a7a,Training Bit Fully Convolutional Network for Fast Semantic Segmentation,"Training Bit Fully Convolutional Network for Fast Semantic Segmentation
 He Wen and Shuchang Zhou and Zhe Liang and Yuxiang Zhang and Dieqiao Feng and Xinyu Zhou and Cong Yao
 {wenhe, zsc, liangzhe, zyx, fdq, zxy,
@@ -33897,20 +28757,6 @@ for fast Object Detection
 Marco Pedersoli, Jordi Gonz`alez, Andrew D. Bagdanov, and Juan J. Villanueva
 Dept. Ci`encies de la Computaci´o & Centre de Visi´o per Computador,
 Edifici O, Campus UAB 08193 Bellaterra (Cerdanyola) Barcelona, Spain"

-7cd5d849212c294c452be009ff465ca7d3d923c8,A Brief Survey of Face Recognition Techniques,"(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:2)(cid:2)(cid:3)(cid:3)(cid:4)(cid:4)(cid:5)(cid:5)(cid:6)(cid:6)(cid:7)(cid:7)(cid:1)(cid:1)(cid:8)(cid:8)(cid:1)(cid:1)(cid:9)(cid:9)(cid:1)(cid:1)(cid:10)(cid:10)(cid:5)(cid:5)(cid:6)(cid:6)(cid:11)(cid:11)(cid:7)(cid:7)(cid:12)(cid:12)(cid:1)(cid:1)(cid:13)(cid:13)(cid:1)(cid:1)(cid:14)(cid:14)(cid:15)(cid:15)(cid:12)(cid:12)(cid:16)(cid:16)(cid:17)(cid:17)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:19)(cid:19)(cid:20)(cid:20)(cid:1)(cid:1)(cid:21)(cid:21)(cid:1)(cid:1)(cid:22)(cid:22)(cid:7)(cid:7)(cid:23)(cid:23)(cid:24)(cid:24)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:19)(cid:19)(cid:20)(cid:20)(cid:1)(cid:1)(cid:23)(cid:23)(cid:23)(cid:23)(cid:25)(cid:25)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:21)(cid:21)(cid:26)(cid:26)(cid:27)(cid:27)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)
-(cid:15)(cid:15)(cid:28)(cid:28)(cid:15)(cid:15)(cid:29)(cid:29)(cid:4)(cid:4)(cid:15)(cid:15)(cid:11)(cid:11)(cid:4)(cid:4)(cid:7)(cid:7)(cid:1)(cid:1)(cid:3)(cid:3)(cid:30)(cid:30)(cid:4)(cid:4)(cid:29)(cid:29)(cid:30)(cid:30)(cid:7)(cid:7)(cid:1)(cid:1)(cid:15)(cid:15)(cid:24)(cid:24)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:31)(cid:31)(cid:31)(cid:31)(cid:31)(cid:31)(cid:25)(cid:25)(cid:16)(cid:16)  !!(cid:3)(cid:3)(cid:5)(cid:5)(cid:12)(cid:12)(cid:30)(cid:30)(cid:15)(cid:15)(cid:4)(cid:4)    (cid:25)(cid:25)(cid:16)(cid:16)(cid:3)(cid:3)(cid:6)(cid:6)(cid:1)
-(cid:1)
-(cid:1)
-AA  BBrriieeff  SSuurrvveeyy  ooff  FFaaccee  RReeccooggnniittiioonn  TTeecchhnniiqquueess
-Nilam B. Goswami, Pinal Patel, Chirag I. Patel, Parth Parekh
-Post Graduation, CE and IT department, Government Engineering College, Gandhinagar, India"

-7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,"Facial Expression Recognition Using Embedded
-Hidden Markov Model
-Languang He, Xuan Wang, Member, IEEE, Chenglong Yu, Member, IEEE, Kun Wu
-Intelligence Computing Research Center
-HIT Shenzhen Graduate School
-Shenzhen, China
-{telent, wangxuan, ycl, wukun}"

 7c7158273f0f833329ad86f7f642aedeb161a73c,A video database of human faces under near Infra-Red illumination for human computer interaction applications,"A Video Database of Human Faces under Near Infra-Red
 Illumination for Human Computer Interaction Aplications
 S L Happy, Anirban Dasgupta, Anjith George, and Aurobinda Routray
@@ -33946,11 +28792,6 @@ ReDMark: Framework for Residual Diffusion
 Watermarking based on Deep Networks
 Mahdi Ahmadi, Alireza Norouzi, S.M.Reza Soroushmehr, Nader Karimi,
 Kayvan Najarian, Shadrokh Samavi and Ali Emami"

-7cee802e083c5e1731ee50e731f23c9b12da7d36,2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks,"B3C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional
-Networks
-Vandit Gajjar
-Department of Electronics and Communication Engineering and
-Computer Vision Group, L. D. College of Engineering, Ahmedabad, India"

 7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d,Human-In-The-Loop Person Re-Identification,"Human-In-The-Loop Person Re-Identification
 Hanxiao Wang, Shaogang Gong, Xiatian Zhu, and Tao Xiang"

 7c45b5824645ba6d96beec17ca8ecfb22dfcdd7f,News Image Annotation on a Large Parallel Text-image Corpus.,"News image annotation on a large parallel text-image corpus
@@ -33958,16 +28799,6 @@ Pierre Tirilly, Vincent Claveau, Patrick Gros
 Universit´e de Rennes 1/IRISA, CNRS/IRISA, INRIA Rennes-Bretagne Atlantique
 Campus de Beaulieu
 5042 Rennes Cedex, France"

-7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,"ISSN (Print)    : 2319-5940
-ISSN (Online) : 2278-1021
-International Journal of Advanced Research in Computer and Communication Engineering
-Vol. 2, Issue 5, May 2013
-An Exploratory Survey on Various Face
-Recognition Methods Using Component Analysis
-Shamna P1, Paul Augustine2, Tripti C3
-M.Tech Scholar, Dept of CSE, Rajagiri School of Engineering and Technology, Kochi, India1
-Asst. Professor, Dept of CSE, Rajagiri School of Engineering and Technology, Kochi, India2
-Asst. Professor, Dept of CSE, Rajagiri School of Engineering and Technology, Kochi, India3"

 7c1802d8d43dfe783650a03f03d41609fa5ae91e,Discriminability Objective for Training Descriptive Captions,"Discriminability objective for training descriptive captions
 Ruotian Luo
 TTI-Chicago
@@ -34033,17 +28864,9 @@ Enrico Piazza1 Andrea Romanoni1 Matteo Matteucci1"
 Ra´ul Mart´ın-F´elez, Ram´on A. Mollineda, and J. Salvador S´anchez
 Institute of New Imaging Technologies (INIT)
 Universitat Jaume I. Av. Sos Baynat s/n, 12071, Castell´o de la Plana, Spain"

-519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,"Non-Lambertian Reflectance Modeling and
-Shape Recovery of Faces using Tensor Splines
-Ritwik Kumar, Student Member, IEEE, Angelos Barmpoutis, Member, IEEE,
-Arunava Banerjee, Member, IEEE, and Baba C. Vemuri, Fellow, IEEE"

 51bfc693d170b4171f5bd9f9aed51f1fe8b5304d,Zero-shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels AAAI Anonymous Submission 182,"Zero-shot Recognition via Direct Classifier Learning
 with Transferred Samples and Pseudo Labels
 AAAI Anonymous Submission 182"

-513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b,Efficient Processing of Deep Neural Networks: A Tutorial and Survey,"Efficient Processing of Deep Neural Networks:
-A Tutorial and Survey
-Vivienne Sze, Senior Member, IEEE, Yu-Hsin Chen, Student Member, IEEE, Tien-Ju Yang, Student
-Member, IEEE, Joel Emer, Fellow, IEEE"

 5121f42de7cb9e41f93646e087df82b573b23311,Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings,"CLASSIFYING ONLINE DATING PROFILES ON TINDER USING FACENET FACIAL
 EMBEDDINGS
 Charles F. Jekel and Raphael T. Haftka
@@ -34101,10 +28924,6 @@ Sorbonne Universit´es, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, Fran
 Prajjwal Bhargava
 SRM University
 Chennai"

-519db7bb7d1778bddfbe3725220756627373d69a,A Comparative Study of Local Matching Approach for Face Recognition,"A Comparative Study of Local Matching
-Approach for Face Recognition
-Jie Zou, Member, IEEE, Qiang Ji, Senior Member, IEEE, and George Nagy, Fellow, IEEE
-to holistic methods,"

 51d97f4e4385a3da78bf9277a5426216198698c3,Improving the Accuracy of Face Detection for Damaged Video and Distant Targets,"Improving the Accuracy of Face Detection for Damaged Video and
 Distant Targets
 Department of Communication Engineering, Oriental Institute of Technology, New Taiepi City, Taiwan
@@ -34157,9 +28976,6 @@ Media Security and IT Forensics – Fraunhofer Institute for Secure Information
 51cf3fa26b7c31c10427317fb5d72a6712023279,What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications,"A SURVEY OF COMPUTATIONAL CONVEX ANALYSIS AND ITS APPLICATIONS
 WHAT SHAPE IS YOUR CONJUGATE?
 YVES LUCET"

-5157dde17a69f12c51186ffc20a0a6c6847f1a29,Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension,"Evolutionary Cost-sensitive Extreme Learning
-Machine
-Lei Zhang, Member, IEEE, and David Zhang, Fellow, IEEE"

 51a9f9dcffad494cb88b949b7e98e7e11240a015,A Hybrid Face Recognition Approach Using GPUMLib,"A Hybrid Face Recognition Approach Using
 GPUMLib
 Noel Lopes1,2 and Bernardete Ribeiro1
@@ -34202,14 +29018,6 @@ Shared Randomized Vocabularies
 (1 / 44)"

 5146832515ba8b4ad48372967d9fb7dcdea61869,CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks,"Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pages 646–654,
 Berlin, Germany, August 11-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

-516a27d5dd06622f872f5ef334313350745eadc3,Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model,"> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) <
-Fine-Grained Facial Expression Analysis Us-
-ing Dimensional Emotion Model
-ǂFeng Zhou, ǂShu Kong, Charless C. Fowlkes, Tao Chen, *Baiying Lei, Member, IEEE"

-517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,"A Graphical Social Topology Model for
-Multi-Object Tracking
-Shan Gao, Xiaogang Chen, Qixiang Ye, Senior Member, IEEE, Arjan Kuijper, Member, IEEE,
-Xiangyang Ji, Member, IEEE,"

 51ab92566306c2f26e8415b451f3dd1f83f59008,The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations,"The USC CreativeIT Database of Multimodal Dyadic
 Interactions: From Speech and Full Body Motion
 Capture to Continuous Emotional Annotations
@@ -34221,38 +29029,11 @@ March 23, 2015"
 Embedded System for Human-Robot Interaction
 Yang-Bok Lee1, Seung-Bin Moon1, and Yong-Guk Kim 1*
 School of Computer Engineering, Sejong University, Seoul, Korea"

-5161e38e4ea716dcfb554ccb88901b3d97778f64,SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person,"SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR
-FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
-Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun S. Yang
-School of Computing, KAIST, Republic of Korea"

 51c7c5dfda47647aef2797ac3103cf0e108fdfb4,Cs 395t: Celebrity Look-alikes *,"CS 395T: Celebrity Look-Alikes ∗
 Adrian Quark"

-514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,"Detailed 3D Representations for
-Object Recognition and Modeling
-M. Zeeshan Zia, Student Member, IEEE, Michael Stark, Member, IEEE,
-Bernt Schiele, Member, IEEE, and Konrad Schindler, Member, IEEE"

 51c7236feaa2ae23cef78c7bca75c69d7081e24a,Deep multi-frame face super-resolution,"Deep multi-frame face super-resolution
 Evgeniya Ustinova, Victor Lempitsky
 October 17, 2017"

-ddbb6e0913ac127004be73e2d4097513a8f02d37,Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis,"IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 1, NO. 3, SEPTEMBER 1999
-Face Detection Using Quantized Skin Color
-Regions Merging and Wavelet Packet Analysis
-Christophe Garcia and Georgios Tziritas, Member, IEEE"

-dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,"International Journal of Computer Applications (0975 – 8887)
-Volume 101– No.16, September 2014
-Image Retrieval based on LBP Transitions
-A. Srinivasa Rao
-Assoc.Prof in CSE Dept.
-MSSISTCE
-Mylavaram, Vijayawada
-V.Venkata Krishna
-Professor in CSE Dept.
-GIET, Rajahmundry
-Andhra Pradesh, India
-A.Obulesu
-Asst.Prof in CSE Dept.
-AGI (Autonomous), Hyderabad
-Telanganastate, India"

 ddbfea5302fcb5cbc2ca4c498a592ddb063b9eff,L Ow Supervision Visual Learning through Cooperative Agents,"Low-supervision visual learning through cooperative agents
 Ashish Bora
 Abhishek Sinha"

@@ -34300,11 +29081,6 @@ SenseTime Research
 ddfde5d6f4e720aeb770a20e4197db3a0c279958,Learning Convolutional Text Representations for Visual Question Answering,"Learning Convolutional Text Representations for Visual Question Answering
 Zhengyang Wang∗
 Shuiwang Ji†"

-dd8084b2878ca95d8f14bae73e1072922f0cc5da,"Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification","Model Distillation with Knowledge Transfer from
-Face Classification to Alignment and Verification
-Chong Wang∗, Xipeng Lan and Yangang Zhang
-Beijing Orion Star Technology Co., Ltd. Beijing, China
-{chongwang.nlpr, xipeng.lan,"

 dda7bb490171a1d3364928fb8143bbe021146c5f,Local Shape Spectrum Analysis for 3D Facial Expression Recognition,"Local Shape Spectrum Analysis for 3D Facial Expression Recognition
 Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain
 Dmytro Derkach and Federico M. Sukno"

@@ -34322,14 +29098,6 @@ dd7ed20a65d811dcf863f796d6dcbe873f57e7c4,Object Detection Via Structural Feature
 Selection and Shape Model
 Huigang Zhang, Xiao Bai, Jun Zhou, Senior Member, IEEE, Jian Cheng and
 Huijie Zhao"

-dd5ef2a12753c5c923fa6b8033384db7875acf95,Upper Body Detection and Feature Set Evaluation for Body Pose Classification,"Upper Body Detection and Feature Set Evaluation for Body Pose
-Classification
-Laurent Fitte-Duval, Alhayat Ali Mekonnen and Fr´ed´eric Lerasle
-CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France
-Universit´e de Toulouse, UPS, LAAS, F-31400 Toulouse, France
-Keywords:
-Upper Body Detection, Body Pose Classification, Fast Feature Pyramid, Sparse Classification, Aggregated
-Channel Features, Feature Evaluation"

 ddcb77d09e4e9e2a948f9ffe7eaa5554dceb8ce3,Revisiting Cross Modal Retrieval,

 ddeb017c0452f14690ce240c90128d979289ab5f,A Comprehensive Survey on Human Skin Detection,"I.J. Image, Graphics and Signal Processing, 2016, 5, 1-35
 Published Online May 2016 in MECS (http://www.mecs-press.org/)
@@ -34370,14 +29138,6 @@ ddefb92908e6174cf48136ae139efbb4bd198896,Feature-wise Bias Amplification,"Under
 FEATURE-WISE BIAS AMPLIFICATION
 Anonymous authors
 Paper under double-blind review"

-ddf099f0e0631da4a6396a17829160301796151c,Chen et al . Face Quality Value : Input : Feat -‐ 5 Features : L 2 R + PKM Model : Feat -‐,"IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
-Learning Face Image Quality from
-Human Assessments
-Lacey Best-Rowden, Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

-dd8d53e67668067fd290eb500d7dfab5b6f730dd,A Parameter-Free Framework for General Supervised Subspace Learning,"A Parameter-Free Framework for General
-Supervised Subspace Learning
-Shuicheng Yan, Member, IEEE, Jianzhuang Liu, Senior Member, IEEE, Xiaoou Tang, Senior Member, IEEE,
-nd Thomas S. Huang, Life Fellow, IEEE"

 dde5125baefa1141f1ed50479a3fd67c528a965f,Synthesizing Normalized Faces from Facial Identity Features,"Synthesizing Normalized Faces from Facial Identity Features
 Forrester Cole1 David Belanger1,2 Dilip Krishnan1 Aaron Sarna1 Inbar Mosseri1 William T. Freeman1,3
 Google, Inc. 2University of Massachusetts Amherst 3MIT CSAIL
@@ -34399,10 +29159,6 @@ Bernhard Pfahringer†
 Michael Cree‡
 Department of Computer Science, University of Waikato, Hamilton, New Zealand
 School of Engineering, University of Waikato, Hamilton, New Zealand"

-59d66790ac1db459ba78ed0147cde7c66e7ed0c5,Ensemble-based discriminant learning with boosting for face recognition,"Ensemble-Based Discriminant Learning
-With Boosting for Face Recognition
-Juwei Lu, Member, IEEE, K. N. Plataniotis, Senior Member, IEEE, A. N. Venetsanopoulos, Fellow, IEEE, and
-Stan Z. Li"

 59d0d7ccec2db66cad20cac5721ce54a8a058294,Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,"Quantization and Training of Neural Networks for Efficient
 Integer-Arithmetic-Only Inference
 Benoit Jacob
@@ -34510,10 +29266,6 @@ Gatsby Unit, UCL, London, United Kingdom
 Christoph von der Malsburg
 Frankfurt Institute for Advanced Studies, JWG University, Ruth-Moufang-Str. 1, Frankfurt am Main, Germany
 Keywords:"

-59b202ccc01bae85a88ad0699da7a8ae6aa50fef,"Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis","Looking at Vehicles on the Road: A Survey of
-Vision-Based Vehicle Detection, Tracking,
-nd Behavior Analysis
-Sayanan Sivaraman, Member, IEEE, and Mohan Manubhai Trivedi, Fellow, IEEE"

 59c9d416f7b3d33141cc94567925a447d0662d80,Matrix factorization over max-times algebra for data mining,"Universität des Saarlandes
 Max-Planck-Institut für Informatik
 Matrix factorization over max-times
@@ -34561,31 +29313,6 @@ Chuang Gan
 MIT-IBM Watson AI Lab
 Song Han"

 59da714d643757871bf3a48757a5919b9b577e89,A Statistical Quadtree Decomposition to Improve Face Analysis,

-5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e,Self-Supervised Depth Learning Improves Semantic Segmentation,"Self-Supervised Depth Learning Improves Semantic Segmentation
-Huaizu Jiang, Erik Learned-Miller
-Univ. of Massachusetts, Amherst
-Amherst MA 01003
-. Introduction
-How does a newborn agent learn about the world?
-When an animal (or robot) moves, its visual system is
-exposed to a shower of information. Usually, the speed
-with which something moves in the image is inversely
-proportional to its depth.1 As an agent continues to
-experience visual stimuli under its own motion, it is
-natural for it to form associations between the appear-
-nce of objects and their relative motion in the image.
-For example, an agent may learn that objects that look
-like mountains typically don’t move in the image (or
-hange appearance much) as the agent moves. Objects
-like nearby cars and people, however, appear to move
-rapidly in the image as the agent changes position rel-
-tive to them. This continuous pairing of images with
-motion acts as a kind of “automatic” supervision that"

-59a35b63cf845ebf0ba31c290423e24eb822d245,The FaceSketchID System: Matching Facial Composites to Mugshots,"The FaceSketchID System: Matching Facial
-Composites to Mugshots
-Scott J. Klum, Student Member, IEEE, Hu Han, Member, IEEE, Brendan F. Klare, Member, IEEE,
-nd Anil K. Jain, Fellow, IEEE
-tedious, and may not"

 599b7e1b4460c8ad77def2330ec76a2e0dfedb84,Robust Subspace Clustering via Smoothed Rank Approximation,"Robust Subspace Clustering via Smoothed Rank
 Approximation
 Zhao Kang, Chong Peng, and Qiang Cheng∗"

@@ -34649,9 +29376,6 @@ Videos
 Serena Yeung · Olga Russakovsky · Ning Jin · Mykhaylo Andriluka · Greg Mori ·
 Li Fei-Fei
 Received: date / Accepted: date"

-59cca46a0442fc6bd0525e5f13cef5b5a9747d34,Cross-Domain Shoe Retrieval With a Semantic Hierarchy of Attribute Classification Network,"Cross-Domain Shoe Retrieval With a Semantic
-Hierarchy of Attribute Classification Network
-Huijing Zhan, Student Member, IEEE, Boxin Shi, Member, IEEE, and Alex C. Kot, Fellow, IEEE"

 59c194bc84d604baf09241238dc47806a998df70,Building a post-compression region-of-interest encryption framework for existing video surveillance systems,"(will be inserted by the editor)
 Building a Post-Compression Region-of-Interest Encryption Framework
 for Existing Video Surveillance Systems
@@ -34735,10 +29459,6 @@ on Tourist Interests and Preferences
 *Department of Computing and Information Systems, The University of Melbourne, Australia
 Victoria Research Laboratory, National ICT Australia, Australia
 Kwan Hui Lim*†"

-2559b15f8d4a57694a0a33bdc4ac95c479a3c79a,Contextual Object Localization With Multiple Kernel Nearest Neighbor,"Contextual Object Localization With Multiple
-Kernel Nearest Neighbor
-Brian McFee, Student Member, IEEE, Carolina Galleguillos, Student Member, IEEE, and
-Gert Lanckriet, Member, IEEE"

 25ae83767c926898047bbc50971b5b11de34e12a,Detection and Tracking of Occluded People,"Noname manuscript No.
 (will be inserted by the editor)
 Detection and Tracking of Occluded People
@@ -34805,8 +29525,6 @@ Shiro Kumano · Kazuhiro Otsuka · Junji Yamato ·
 Eisaku Maeda · Yoichi Sato
 Received: date / Accepted: date"

 25b83cffddff334d78c55db4d67c65b1d8999b2f,Optimization of Person Re-Identification through Visual Descriptors,

-258da7c0f7bdfad019f9affbd3469081d1c12661,Adaptive Image Denoising by Mixture Adaptation,"Adaptive Image Denoising by Mixture Adaptation
-Enming Luo, Student Member, IEEE, Stanley H. Chan, Member, IEEE, and Truong Q. Nguyen, Fellow, IEEE"

 25e3fd1074968896fca45be20ca1d678438081fc,Group Invariant Deep Representations for Image Instance Retrieval,

 25bb4212af72d64ec20cac533f58f7af1472e057,Person Re-Identification by Camera Correlation Aware Feature Augmentation,"Person Re-Identification by Camera
 Correlation Aware Feature Augmentation
@@ -34823,11 +29541,6 @@ uthor={Chen, Ying-Cong and Zhu, Xiatian and Zheng, Wei-Shi and Lai,
 Jian-Huang},
 (DOI: 10.1109/TPAMI.2017.2666805)}"

 25982e2bef817ebde7be5bb80b22a9864b979fb0,Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines,"(a)26facialfeaturepointsthatwetrack(b)oneexamplesequenceFigure1.Facialfeaturepointtrackingunderexpressionvariationandocclusion.Inrecentyears,thesemodelshavebeenusedexplicitlytohandletheshapevariations[17][5].Thenonlinearityem-beddedinRBManditsvariantsmakesthemmoreeffectiveandefficienttorepresentthenonrigiddeformationsofob-jectscomparedtothelinearmethods.Theirlargenumberofhiddennodesanddeeparchitecturesalsocanimposesuffi-cientconstraintsaswellasenoughdegreesoffreedomsintotherepresentationsofthetargetobjects.Inthispaper,wepresentaworkthatcaneffectivelytrackfacialfeaturepointsusingfaceshapepriormodelsthatareconstructedbasedonRBM.Thefacialfeaturetrackercantrack26facialfeaturepoints(Fig.1(a))eveniffaceshavedifferentfacialexpressions,varyingposes,orocclu-sion(Fig.1(b)).Unlikethepreviousworksthattrackfacialfeaturepointsindependentlyorbuildashapemodeltocap-turethevariationsoffaceshapeorappearanceregardlessofthefacialexpressionsandfaceposes,theproposedmodelcouldcapturethedistinctionsaswellasthevariationsoffaceshapesduetofacialexpressionandposechangeinaunifiedframework.Specifically,wefirstconstructamodel1"

-25ed9bd6c5febac832f3d68b96123e6ba013df83,Object segmentation by alignment of poselet activations to image contours,"Object Segmentation by Alignment of Poselet Activations to Image Contours
-Thomas Brox1, Lubomir Bourdev2,3, Subhransu Maji2, and Jitendra Malik2∗
-University of California at Berkeley
-University of Freiburg, Germany
-Adobe Systems Inc., San Jose, CA"

 25894be540936562953f37fbbcff69e5ac17a494,Semantic Image Retrieval via Active Grounding of Visual Situations,"Semantic Image Retrieval
 via Active Grounding of Visual Situations
 Max H. Quinn1, Erik Conser1, Jordan M. Witte1, and Melanie Mitchell1,2
@@ -34893,10 +29606,6 @@ SPARSITY REGULARIZER
 OTNIEL Y. VIKTORISA, 2ITO WASITO, 2ARIDA F. SYAFIANDINI
 Faculty of Computer  of Computer Science, Universitas Indonesia, Kampus UI Depok, Indonesia
 E-mail:  ,"

-25403c52a7c3092866773b0e765ab55841d3cb67,Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos,"Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos
-Tahmida Mahmud1, Mahmudul Hasan2, Amit K. Roy-Chowdhury1
-University of California, Riverside, CA-92521, USA
-Comcast Labs, Washington, DC-20005, USA"

 25474c21613607f6bb7687a281d5f9d4ffa1f9f3,Recognizing disguised faces,"This article was downloaded by: [Carnegie Mellon University]
 On: 03 May 2012, At: 06:22
 Publisher: Psychology Press
@@ -34940,9 +29649,6 @@ Assam Don Bosco University"
 Michel F. Valstar, Bihan Jiang, Marc Mehu, Maja Pantic, and Klaus Scherer"

 25811285a1c1fd514b315d6a05adc2cb4abe9618,"DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes","DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
 Berta Bescos, Jos´e M. F´acil, Javier Civera and Jos´e Neira"

-25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb,Context-Aware Hypergraph Modeling for Re-identification and Summarization,"Context-Aware Hypergraph Modeling for
-Re-identification and Summarization
-Santhoshkumar Sunderrajan, Member, IEEE, and B. S. Manjunath, Fellow, IEEE"

 250ebcd1a8da31f0071d07954eea4426bb80644c,DenseBox: Unifying Landmark Localization with End to End Object Detection,"DenseBox: Unifying Landmark Localization with
 End to End Object Detection
 Lichao Huang1
@@ -34951,8 +29657,6 @@ Yafeng Deng2
 Institute of Deep Learning
 Baidu Research
 Yinan Yu3"

-25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8,Label Distribution Learning,"Label Distribution Learning
-Xin Geng*, Member, IEEE"

 250449a9827e125d6354f019fc7bc6205c5fd549,Adversarial Reconstruction Loss,"PAIRWISE AUGMENTED GANS WITH
 ADVERSARIAL RECONSTRUCTION LOSS
 Aibek Alanov1,2,3∗, Max Kochurov1,2∗, Daniil Yashkov5, Dmitry Vetrov1,3,4
@@ -34961,30 +29665,8 @@ Skolkovo Institute of Science and Technology
 National Research University Higher School of Economics
 Joint Samsung-HSE lab
 5Federal Research Center ""Informatics and Management"" of the Russian Academy of Sciences"

-253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,"JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 23/2014, ISSN 1642-6037
-Remote Health Monitor, Security Issues,
-Multi-Factor Biometric Authentication,
-Keystroke Analysis, Face Recognition
-Tapalina BHATTASALI1, Khalid SAEED2, Nabendu CHAKI1, Rituparna CHAKI3
-BIO-AUTHENTICATION FOR LAYERED REMOTE
-HEALTH MONITOR FRAMEWORK
-Aged people, patients with chronic disease, patients at remote location need continuous monitoring under
-healthcare professionals. Remote health monitor is likely to be an effective approach to provide healthcare service
-in a simple and cost effective way. However, effective implementation of this type of framework needs consid-
-eration of variety of security threats. In this paper, a layer based remote health monitor framework is proposed
-to analyze health condition of patients from remote places. Beside this, a multi-modal biometric authentication
-mechanism is proposed here to reduce misuse of health data and biometrics templates in heterogeneous cloud
-environment. Main focus of the paper is to design semi-continuous authentication mechanism after establishing
-mutual 1:1 trust relationship among the participants in cloud environment. Behavioral biometrics keystroke
-nalysis is fused with physiological biometrics face recognition to enhance accuracy of authentication. Instead of
-onsidering traditional performance evaluation parameters for biometrics, this paper considers a few performance
-metrics for determining efficiency of semi-continuous verification of the proposed framework.
-. INTRODUCTION
-Remote health monitor provides healthcare service for patients from remote locations to support"

 25afa24d85e693351bad795ee1c3e801d10c4a15,"Anisotropic Gaussian Filters for Face Class Modeling August 31 , 2006","Anisotropic Gaussian Filters for Face Class Modeling
 August 31, 2006"

-2597b0dccdf3d89eaffd32e202570b1fbbedd1d6,Towards Predicting the Likeability of Fashion Images,"Towards predicting the likeability of fashion images
-Jinghua Wang, Abrar Abdul Nabi, Gang Wang, Member, IEEE, Chengde Wan, Tian-Tsong Ng, Member, IEEE,"

 258972e9df3cdf0b8babbf607eaef7cce689226a,Multimodal Affect Recognition: Current Approaches and Challenges,"We are IntechOpen,
 the world’s leading publisher of
 Open Access books
@@ -35005,10 +29687,6 @@ in Web of Science™ Core Collection (BKCI)
 Interested in publishing with us?
 Contact
 Numbers displayed above are based on latest data collected."

-2594bf77a1fef68d86be74a2cb79c55499cb2bec,Learning Invariant Color Features for Person Reidentification,"Learning Invariant Color Features for
-Person Re-Identification
-Rahul Rama Varior, Student Member, IEEE,
-Gang Wang, Member, IEEE Jiwen Lu, Member, IEEE"

 25c57d1916c926bea3d92548f1c9836cffc23fe5,Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision,"Automatic Ground Truths: Projected Image
 Annotations for Omnidirectional Vision
 Victor Stamatescu∗, Peter Barsznica∗, Manjung Kim ∗, Kin K. Liu∗, Mark McKenzie†,
@@ -35176,9 +29854,6 @@ Recognition in Large Dataset
 Sameh MEGRHI1, Marwa JMAL 2, Azeddine BEGHDADI1 and Wided Mseddi1,2
 L2TI, Institut Galil´ee, Universit´e Paris 13, France;
 SERCOM, Ecole Polytechnique de Tunisie"

-558c4917dc9a1d34f62c0ab713b1b9a37ad04853,Action Recognition Using Multilevel Features and Latent Structural SVM,"Action Recognition Using Multilevel Features and
-Latent Structural SVM
-Xinxiao Wu, Dong Xu, Member, IEEE, Lixin Duan, Jiebo Luo, Fellow, IEEE, and Yunde Jia, Member, IEEE"

 5556234869c36195ffdcd29349e5dcdf695023e9,Minimum Distance between Pattern Transformation Manifolds: Algorithm and Applications,"JULY 2009
 Minimum Distance between
 Pattern Transformation Manifolds:
@@ -35299,10 +29974,6 @@ pplications of current interest.
 OBJECTIVES"

 55c68c1237166679d2cb65f266f496d1ecd4bec6,Learning to score the figure skating sports videos,"Learning to Score Figure Skating Sport Videos
 Chengming Xu, Yanwei Fu, Zitian Chen,Bing Zhang, Yu-Gang Jiang, Xiangyang Xue"

-5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,"Reading Hidden Emotions: Spontaneous
-Micro-expression Spotting and Recognition
-Xiaobai Li, Student Member, IEEE, Xiaopeng Hong, Member, IEEE, Antti Moilanen, Xiaohua Huang, Student
-Member, IEEE, Tomas Pfister, Guoying Zhao, Senior Member, IEEE, and Matti Pietik¨ainen, Fellow, IEEE"

 550edcdc27aff4e7ea8807356a265a0031434a49,Fine-Grained Recognition with Automatic and Efficient Part Attention,"Fine-Grained Recognition with Automatic and Efficient Part Attention
 Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou and Yuanqing Lin
 Baidu Research
@@ -35316,10 +29987,6 @@ Toby P. Breckon
 Engineering and Computer Science
 Durham University
 Durham, UK"

-5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,"SALSA: A Novel Dataset for Multimodal Group
-Behavior Analysis
-Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Member, IEEE, Ligia Batrinca,
-Elisa Ricci, Member, IEEE, Bruno Lepri, Oswald Lanz, Member, IEEE, Nicu Sebe, Senior Member, IEEE"

 55202f10bb1d7640b0b279a4cdc8e9925cd9ef81,ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning,

 559295770dc2e2e3a1348df31ac5c3f3e66f1764,Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections,"Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections
 Johns Hopkins University
@@ -35330,12 +29997,6 @@ Ehsan Jahangiri
 Baltimore, USA"

 558c587373e2ea44898f70de7858da71aa217b8d,Cross-Lingual Image Caption Generation,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 1780–1790,
 Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics"

-5550a6df1b118a80c00a2459bae216a7e8e3966c,A perusal on Facial Emotion Recognition System ( FERS ),"ISSN: 0974-2115
-www.jchps.com                                                                       Journal of Chemical and Pharmaceutical Sciences
-A perusal on Facial Emotion Recognition System (FERS)
-School of Information Technology and Engineering, VIT University, Vellore, 632014, India
-Krithika L.B
-*Corresponding author: E-Mail:"

 55e8cfd4a96bdc77d10459c0aa73991ff098c60e,Nonnegative Discriminant Matrix Factorization,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2016.2539779, IEEE
 Transactions on Circuits and Systems for Video Technology
 Copyright (c) 2016 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes
@@ -35491,26 +30152,6 @@ uthor={Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, F
 Jianhuang Lai},
 journal={ International Joint Conference on Artificial Intelligence},
 year={2018}"

-4ea253a391f804f0045a20e6ef1ae6e92cd0ba55,5 Image Compression Effects in Face Recognition Systems,"Image Compression Effects in Face Recognition
-Systems
-Kresimir Delac, Mislav Grgic and Sonja Grgic
-University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb
-Croatia
-image  experimental  setups  are  often  researched,  but  only
-. Introduction
-With  the  growing  number  of  face  recognition  applications  in  everyday  life,  image-  and
-video-based recognition methods are becoming important research topic (Zhao et al., 2003).
-Effects  of  pose,  illumination  and  expression  are  issues  currently  most  studied  in  face
-recognition. So far, very little has been done to investigate the effects of compression on face
-recognition, even though the images are mainly stored and/or transported in a compressed
-format.  Still-to-still
-uncompressed image formats. Still-to-video research (Zhou et al., 2003) mostly deals with
-issues of tracking and recognizing faces in a sense that still uncompressed images are used
-s a gallery and compressed video segments as probes.
-In  this  chapter  we  analyze  the  effects  that  standard  image  compression  methods  -  JPEG
-(Wallace, 1991) and JPEG2000 (Skodras et al., 2001) - have on three well known subspace
-ppearance-based face recognition algorithms: Principal Component Analysis - PCA (Turk
-&  Pentland,  1991),  Linear  Discriminant  Analysis  -  LDA  (Belhumeur  et  al.,  1996)  and"

 4e6ff8ff80a1610bb841b669bb7667413ed2982f,Dependence Characteristics of Face Recognition Algorithms,"Dependence Characteristics of Face Recognition Algorithms
 Patrick Grother, P. Jonathon Phillips,
 Stefan Leighy, Alan Heckerty,
@@ -35589,11 +30230,6 @@ Arijit Biswas 3"
 4e6c9be0b646d60390fe3f72ce5aeb0136222a10,Long-Term Temporal Convolutions for Action Recognition,"Long-term Temporal Convolutions
 for Action Recognition
 G¨ul Varol, Ivan Laptev, and Cordelia Schmid, Fellow, IEEE"

-4eb0b82b294f601510cd965adcf0e8c386cbaf22,Face Detection for Augmented Reality Application Using Boosting-based Techniques,"Face Detection for Augmented Reality Application
-Using Boosting-based Techniques
-Youssef  Hbali1, Lahoucine Ballihi2, Mohammed  Sadgal1, El Fazziki Abdelaziz1
-Cadi Ayyad University. B.P. 2390, Avenue Prince My Abdellah, Marrakech, Morocco
-LRIT-CNRST URAC 29, Mohammed V University In Rabat, Faculty of Sciences Rabat, Morocco"

 4e0e49c280acbff8ae394b2443fcff1afb9bdce6,Automatic Learning of Gait Signatures for People Identification,"Automatic learning of gait signatures for people identification
 F.M. Castro
 Univ. of Malaga
@@ -35629,10 +30265,6 @@ Clouds
 Yizhak Ben-Shabat · Tamar Avraham · Michael Lindenbaum ·
 Anath Fischer
 Received: date / Accepted: date"

-4e1d7bad6cde28e65b12c5824b1016859e1ae704,Enhanced Face Recognition Using Discrete Cosine Transform,"Enhanced Face Recognition Using Discrete
-Cosine Transform
-Zahraddeen Sufyanu, Member, IAENG, Fatma S. Mohamad, Abdulganiyu A. Yusuf, and Mustafa B.
-Mamat"

 4e19917a786c611ffdecd171fae37183ad55ad49,A survey of practical adversarial example attacks,"Sun et al. Cybersecurity  (2018) 1:9
 https://doi.org/10.1186/s42400-018-0012-9
 SURVEY
@@ -35647,22 +30279,7 @@ Christopher Pramerdorfer, Martin Kampel
 Computer Vision Lab, TU Wien
 Vienna, Austria
 Email:"

-4ea6954b47baec061fa3f3e1228833eba7be07f9,Multi-pseudo Regularized Label for Generated Data in Person Re-Identification.,"Multi-pseudo Regularized Label for Generated Data
-in Person Re-Identification
-Yan Huang, Jingsong Xu, Qiang Wu, Member, IEEE Zhedong Zheng, Zhaoxiang Zhang, Senior Member, IEEE
-nd Jian Zhang, Senior Member, IEEE"

 4e82908e6482d973c280deb79c254631a60f1631,Improving Efficiency and Scalability in Visual Surveillance Applications,

-4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Use of ℓ2/3-norm Sparse Representation for Facial
-Expression Recognition
-Sandeep Rangari1, Sandeep Gonnade2
-MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
-MATS University, MATS School of Engineering and Technology, Arang, Raipur, India
-three
-to  discriminate
-represents  emotion,"

 4eaaefc53fd61d27b9ce310c188fe76003a341bd,Assessing Generative Models via Precision and Recall,"Assessing Generative Models via Precision and Recall
 Mehdi S. M. Sajjadi∗
 MPI for Intelligent Systems,
@@ -35762,16 +30379,6 @@ Action Classification and Detection
 Mohammadreza Zolfaghari , Gabriel L. Oliveira, Nima Sedaghat, and Thomas Brox
 University of Freiburg
 Freiburg im Breisgau, Germany"

-ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,"International Journal of Control and Automation
-Vol. 8, No. 9 (2015), pp. 303-312
-http://dx.doi.org/10.14257/ijca.2015.8.9.29
-A Survey of Video Object Tracking
-Meng Li, Zemin Cai1, Chuliang Wei and Ye Yuan
-Department of Electronic Engineering, College of Engineering, Shantou
-University, China
-Guangdong Provicial Key Laboratory of Digital Signal and Image Processing
-Techniques, China
-Corresponding author,"

 ea572991a75acfc8a8791955f670d2c48db49023,Arbitrary-Shape object localization using adaptive image grids,"Arbitrary-Shape Object Localization using
 Adaptive Image Grids
 Chunluan Zhou and Junsong Yuan
@@ -35783,11 +30390,6 @@ nd Self-Organizing Map
 Miloš ORAVEC, Jarmila PAVLOVIČOVÁ
 Dept. of Telecommunications, Faculty of Electrical Engineering and Information Technology, Slovak University of
 Technology, Ilkovičova 3, 812 19 Bratislava, Slovak Republic"

-eac6aee477446a67d491ef7c95abb21867cf71fc,A Survey of Sparse Representation: Algorithms and Applications,"JOURNAL
-A survey of sparse representation: algorithms and
-pplications
-Zheng Zhang, Student Member, IEEE, Yong Xu, Senior Member, IEEE,
-Jian Yang, Member, IEEE, Xuelong Li, Fellow, IEEE, and David Zhang, Fellow, IEEE"

 ea8cb4a79b211fb288f747bdd64b3fc36e11c0fc,Chapter 10 Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships,"Chapter 10
 Automatic Facial Action Unit Recognition
 y Modeling Their Semantic And Dynamic
@@ -36045,15 +30647,6 @@ Tim K. Marks
 Michael Jones
 Mitsubishi Electric Research Laboratories (MERL)
 01 Broadway, Cambridge, MA 02139"

-2709bb385ce53c83a5fe952d54a4c5e5786c0849,Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios,"C. K¨ading, E. Rodner, A. Freytag, J. Denzler
-Fine-tuning Deep Neural Networks in Continuous Learning Scenarios
-ACCV 2016 Workshop on Interpretation and Visualization of Deep Neural Nets
-(cid:13) Copyright by Springer. The final publication will be available at http://link.springer.com/
-Fine-tuning Deep Neural Networks in Continuous
-Learning Scenarios
-Christoph K¨ading1,2, Erik Rodner1,2, Alexander Freytag1,2, and Joachim Denzler1,2
-Computer Vision Group, Friedrich Schiller University Jena, Germany
-Michael Stifel Center Jena, Germany"

 2713423d87d011c0a5aae99bef57523769121a1d,A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm,"J. Software Engineering & Applications, 2010, 3: 119-124
 A Codebook Design Method for Robust VQ-Based
 Face Recognition Algorithm
@@ -36084,12 +30677,6 @@ more information contact"
 Hui Ding,1 Hao Zhou,2 Shaohua Kevin Zhou,3 Rama Chellappa4
 ,2,4University of Maryland, College Park
 Siemens Healthineers, New Jersey"

-27ae7c8c650ffef74c465640f423d9008014e1ca,Dimensionality Reduction with Adaptive Approximation,"TobepublishedintheProceedingsofIEEEICME2007,Beijing,China
-DIMENSIONALITY REDUCTION WITH ADAPTIVE APPROXIMATION
-Effrosyni Kokiopoulou and Pascal Frossard
-Ecole Polytechnique F´ed´erale de Lausanne (EPFL)
-Signal Processing Institute - ITS
-CH- 1015 Lausanne, Switzerland"

 2734b3a6345396499b2b7c6cc1b43fc7e9b375ee,Full-System Simulation of big.LITTLE Multicore Architecture for Performance and Energy Exploration,"Full-System Simulation of big.LITTLE Multicore
 Architecture for Performance and Energy
 Exploration
@@ -36103,10 +30690,6 @@ Email:"
 Bin Qi1,2, Vijay John1,2, Zheng Liu1,2, and Seiichi Mita2
 Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan,
 Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan,"

-27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba,Comparison between k-nn and svm method for speech emotion recognition,"Comparison between k-nn and svm method
-for speech emotion recognition
-Muzaffar Khan, Tirupati Goskula, Mohmmed Nasiruddin ,Ruhina Quazi
-Anjuman College of Engineering & Technology ,Sadar, Nagpur, India"

 27b87bdee46964757b83b5afb4184e438cad6b1b,Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition,"Sequence Searching with Deep-learnt Depth for Condition- and Viewpoint-
 invariant Route-based Place Recognition
 Michael Milford, Stephanie Lowry, Niko
@@ -36146,23 +30729,6 @@ Johns Hopkins University"
 Homography Transformations
 Erjin Zhou, Zhimin Cao, and Jian Sun
 Face++, Megvii Inc."

-27cccf992f54966feb2ab4831fab628334c742d8,Neutral Face Happy Face Surprise Face Fear Face Sad Face Angry Face Disgust Face,"International Journal of Computer Applications (0975 – 8887)
-Volume 64– No.18, February 2013
-Facial Expression Recognition by Statistical, Spatial
-Features and using Decision Tree
-Nazil Perveen
-Assistant Professor
-CSIT Department
-GGV BIlaspur, Chhattisgarh
-India
-Darshan Kumar
-Assistant Professor
-Electronics (ECE) Department
-JECRC Jaipur, Rajasthan India
-IshanBhardwaj
-Student of Ph.D.
-Electrical Department
-NIT Raipur, Chhattisgarh India"

 2783efc96a0d59473e4236ccf1db6ed7e958839e,An Overview of Multi-Task Learning in Deep Neural Networks,"An Overview of Multi-Task Learning
 in Deep Neural Networks∗
 Sebastian Ruder
@@ -36454,50 +31020,7 @@ interpretation in smart environment
 Oleg Starostenko *, Ximena Cortés, J. Afredo Sánchez and Vicente Alarcon-Aquino
 Department of Computing, Electronics and Mechatronics, Universidad de las Americas Puebla, Cholula,
 Pue. 72810, Mexico"

-d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,"Abdul Afeef N et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.9, September- 2014, pg. 314-323
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 3, Issue. 9, September 2014, pg.314 – 323
-RESEARCH ARTICLE
-Face Image Retrieval Using Pose Specific
-Set Sparse Feature Representation
-Department of Computer Science, Viswajyothi College of Engineering and Technology Kerala, India
-Assistant Professor of Computer Science, Viswajyothi College of Engineering and Technology Kerala, India
-Abdul Afeef N1, Sebastian George2"

-d680cfe583fe61e49656cc7b9dbd480c6159cf0b,Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF,"Sensors 2015, 15, 8570-8594; doi:10.3390/s150408570
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Article
-Pedestrian Detection in Far-Infrared Daytime Images Using a
-Hierarchical Codebook of SURF
-Bassem Besbes 1, Alexandrina Rogozan 2,*, Adela-Maria Rus 2,3,*, Abdelaziz Bensrhair 2
-nd Alberto Broggi 4
-Diotasoft, 15 Boulevard Emile Baudot, Massy 91300, France; E-Mail:
-LITIS Laboratory, National Institute of Applied Sciences, 76801 Saint-Etienne-du-Rouvray Cedex,
-France; E-Mail:
-Faculty of Computer Science, Babes-Bolyai University, Kogalniceanu no.1,
-Cluj-Napoca RO-400084, Romania
-Dipartimento di Ingegneria dell’ Informazione, Universita di Parma, Parco Area delle Scienze,
-Parma 181/a 43124, Italy; E-Mail:
-* Authors to whom correspondence should be addressed; E-Mails: (A.R.);
-(A.-M.R.); Tel.: +33-2-3295-6670 (A.R.); +40-2-6440-5300 (A.-M.R.).
-Academic Editor: Felipe Jimenez"

 d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0,Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts,

-d64c362b631f0c94b22952e2d0860054f0854358,Offline Handwritten Devanagari Numeral Recognition Using Artificial Neural Network,"International Journals of Advanced Research in
-Computer Science and Software Engineering
-ISSN: 2277-128X (Volume-7, Issue-8)
-Research  Article
-August
-Offline Handwritten Devanagari Numeral Recognition
-Using Artificial Neural Network
-P E Ajmire
-Associate Professor & Head, Department of Computer Science & Application,  G. S. Science, Arts & Commerce
-College, Khamgaon, Maharashtra, India
-DOI: 10.23956/ijarcsse/V7I7/0157"

 d689cdb4e535be040316722229e6362de6617f9e,GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE TRACKING : DEVELOPMENT OF INTELLIGENT TRAFFIC SYSTEM IN JAKARTA,"INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS VOL. 8, NO. 1, MARCH 2015
 GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE
 TRACKING: DEVELOPMENT OF INTELLIGENT TRAFFIC
@@ -36586,16 +31109,6 @@ d6ceebb0cde7fb0fbe916472d7b613a2d7d2e1e6,Do faces capture the attention of indiv
 or Autism? Evidence from tracking eye movements
 Deborah M Riby & Peter J B Hancock
 http://dx.doi.org/10.1007/s10803-008-0641-z"

-d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,"Vol-2 Issue-2 2016
-IJARIIE-ISSN (O)-2395-4396
-CLASSIFICATION  OF TYPES OF SKIN
-LESIONS WITH TASK  DECOMPOSITION
-METHOD
-Dr.P.S.Ramaprabha1, Ms.Shalini.E  2, Ms.Shiji  Jenifer.A.S3,  Ms.Prema  dhevi.M4
-1 Professor ,ECE, Panimalar Institute of Technology, TAMILNADU, INDIA
-2 UG Scholar,ECE, Panimalar Institute of Technology, TAMILNADU ,INDIA
-3 UG Scholar,ECE, Panimalar Institute of Technology, TAMILNADU, INDIA
-4 UG Scholar,ECE, Panimalar Institute of Technology, TAMILNADU, INDIA"

 d665213b59f2460faf171d3b03ecd9c96d606883,A MULTIMODAL NONVERBAL HUMAN-ROBOT COMMUNICATION SYSTEM,"VI International Conference on Computational Bioengineering
 ICCB 2015
 M. Cerrolaza and S.Oller (Eds)
@@ -36672,15 +31185,6 @@ Merantix GmbH
 Luc Van Gool
 D-ITET, ETH Zurich
 ESAT, KU Leuven"

-80e7f9bcaca98b65ce12ad7ce28c4b42e0712752,A New Affine Invariant Image Transform Based on Ridgelets,"A New Affine Invariant Image Transform Based
-on Ridgelets
-Esa Rahtu
-Janne Heikkil¨a
-Department of Electrical and Information Engineering
-P.O. Box 4500, 90014 University of Oulu, Finland
-Mikko Salo
-Department of Mathematics and Statistics / RNI
-P.O. Box 68, 00014 University of Helsinki, Finland"

 808b03e28bb45bd446ee7e82f767e48db354fefd,Fast Optical Flow using Dense Inverse Search Supplementary Material,"Fast Optical Flow using Dense Inverse Search
 Supplementary Material
 Till Kroeger1
@@ -36788,8 +31292,6 @@ Performance Parameter Analysis of Face Recognition Based On
 Fuzzy C-Means Clustering, Shape and Corner Detection
 Minj Salen Kujur1, Prof. Prashant Jain2
 Department of Electronics & Communication Engineering college Jabalpur"

-8032a89ba67e2b35e2789983426842f688c49a93,Matching-Constrained Active Contours,"Matching-Constrained Active Contours
-Junyan Wang*, Member, IEEE, Kap Luk Chan, Member, IEEE"

 80265d7c9fe6a948dd8c975bd4d696fb7ba099c9,Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN,"Face Recognition Based on
 Human Visual Perception Theories and
 Unsupervised ANN
@@ -36907,15 +31409,6 @@ stimuli
 Nina Strohminger1,6 · Kurt Gray2 · Vladimir Chituc3 · Joseph Heffner4 ·
 Chelsea Schein2 · Titus Brooks Heagins5
 © Psychonomic Society, Inc. 2015"

-577b62afca4d5e9092228f20098da5df35ad3cdd,Canonical Correlated PCA method For Face Recognition,"International
-OPEN          ACCESS                                                                                                              Journal
-ISSN: 2249-6645                                                                  Of Modern Engineering Research (IJMER)
-Canonical Correlated PCA method For Face Recognition
-S. Krishnaveni 1, N.L.Aravinda 2
-Asst.Prof,ECE Dept, CMR college of Engineering & Technology, JNTUH, India
-Email:
-2Asst.Prof,ECE Dept,, CMR Engineering College, JNTUH, India
-Email:"

 57235f22abcd6bb928007287b17e235dbef83347,Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency,"EXEMPLAR GUIDED UNSUPERVISED
 IMAGE-TO-
 IMAGE TRANSLATION WITH SEMANTIC CONSISTENCY
@@ -36986,11 +31479,6 @@ If you believe that digital publication of certain material infringes any of you
 your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask
 the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam,
 The Netherlands. You will be contacted as soon as possible."

-57bfbd06e94c5def35c1dde901bb4f1c839dbcdf,Deep patch learning for weakly supervised object classification and discovery,"Deep Patch Learning for Weakly Supervised Object
-Classification and Discovery
-Peng Tanga, Xinggang Wanga,∗, Zilong Huanga, Xiang Baia, Wenyu Liua
-School of Electronic Information and Communications, Huazhong University of Science
-nd Technology, Wuhan 430074, China"

 5712cfc11c561c453da6a31d515f4340dacc91a4,3D Facial Expression Reconstruction using Cascaded Regression,"SUBMITTED TO PATTERN RECOGNITION LETTERS
 Cascaded Regression using Landmark
 Displacement for 3D Face Reconstruction
@@ -37042,9 +31530,6 @@ Volker Fischer1, Mummadi Chaithanya Kumar2, Jan Hendrik Metzen1 & Thomas Brox2
 Bosch Center for Artificial Intelligence, Robert Bosch GmbH
 University of Freiburg
 {volker.fischer,"

-573c11e7e00389a033787984223ced536e15c904,Pictorial structures revisited: People detection and articulated pose estimation,"Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
-Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele
-Department of Computer Science, TU Darmstadt"

 57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1,Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model,"Self-learning Scene-specific Pedestrian Detectors
 using a Progressive Latent Model
 Qixiang Ye1,4, Tianliang Zhang 1, Qiang Qiu4, Baochang Zhang2, Jie Chen3, and Guillermo Sapiro4
@@ -37105,16 +31590,6 @@ Tianyu Pang 1 Chao Du 1 Jun Zhu 1"
 57c59011614c43f51a509e10717e47505c776389,Unsupervised Human Action Detection by Action Matching,"Unsupervised Human Action Detection by Action Matching
 Basura Fernando∗ Sareh Shirazi† Stephen Gould∗
 The Australian National University †Queensland University of Technology"

-571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,"SeqFace: Make full use of sequence information for face recognition
-Wei Hu1 ∗
-Yangyu Huang2
-Guodong Yuan2
-Fan Zhang1
-Ruirui Li1
-Wei Li1
-College of Information Science and Technology,
-Beijing University of Chemical Technology, China
-YUNSHITU Corp., China"

 5782d17ad87262739d69dcbe76cadfa881179a91,Data Analysis Project : What Makes Paris Look like Paris ?,"Data Analysis Project: What Makes Paris Look like
 Paris?
 Machine Learning Department
@@ -37126,11 +31601,6 @@ BEYOND SHARED HIERARCHIES: DEEP MULTITASK
 LEARNING THROUGH SOFT LAYER ORDERING
 Anonymous authors
 Paper under double-blind review"

-572785b5d6f6fa4b174d79725f82c056b0fb4565,"Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art","Computer Vision for Autonomous Vehicles:
-Problems, Datasets and State-of-the-Art
-Joel Janaia,∗, Fatma G¨uneya,∗, Aseem Behla,∗, Andreas Geigera,b
-Autonomous Vision Group, Max Planck Institute for Intelligent Systems, Spemannstr. 41, D-72076 T¨ubingen, Germany
-Computer Vision and Geometry Group, ETH Z¨urich, Universit¨atstrasse 6, CH-8092 Z¨urich, Switzerland"

 5740a5f9cbfe790afc0ba9a425cfb71197927470,Supplementary Material for Superpixel Sampling Networks,"Supplementary Material for
 Superpixel Sampling Networks
 Varun Jampani1, Deqing Sun1, Ming-Yu Liu1,
@@ -37178,17 +31648,6 @@ Camino de Vera s/n, Edif. 8G Acc. B 46022 Valencia (Spain)"
 9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0,Improved Techniques for GAN based Facial Inpainting,"Improved Techniques for GAN based Facial
 Inpainting
 Avisek Lahiri*, Arnav Jain*, Divyasri Nadendla and Prabir Kumar Biswas, Senior Member, IEEE"

-9c8a2d66b8fd6973751b8ee2fe6738327968cfcb,Exploring a model of far-from-equilibrium computation,"Exploring a model of far-from-equilibrium
-omputation
-R˘azvan V. Florian
-Center for Cognitive and Neural Studies (Coneural)
-Str. Saturn 24, 400504 Cluj-Napoca, Romania
-July 10, 2005"

-9c889616034adce2af05d74eac44cf43a8106468,Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Binary Quadratic Programing for Online Tracking
-of Hundreds of People in Extremely Crowded
-Scenes
-Afshin Dehghan, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

 9c8da385750db215dc0728dc310251b320d319af,- CL-TR-899 ISSN 1476-2986 Deep embodiment : grounding semantics in perceptual modalities,"Technical Report
 UCAM-CL-TR-899
 ISSN 1476-2986
@@ -37228,10 +31687,6 @@ Dept. of Electrical                Dept. of CSIE                    Dept. of CSI
 Engineering              Chaoyang University              Nankai Institute of
 National University            of Technology                        Technology
 of Kaohsiung"

-9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Benchmarking Single Image Dehazing and Beyond
-Boyi Li*, Wenqi Ren*, Member, IEEE, Dengpan Fu*, Dacheng Tao, Fellow, IEEE, Dan Feng, Member, IEEE,
-Wenjun Zeng, Fellow, IEEE and Zhangyang Wang†, Member, IEEE."

 9ce0d64125fbaf625c466d86221505ad2aced7b1,Recognizing expressions of children in real life scenarios View project PhD ( Doctor of Philosophy ) View project,"Saliency Based Framework for Facial Expression
 Recognition
 Rizwan Ahmed Khan, Alexandre Meyer, Hubert Konik, Saïda Bouakaz
@@ -37301,13 +31756,6 @@ Mohamad Hanif Md. Saad1
 Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
 Institute of Visual Informatics, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
 E-mail:"

-9c1f5547d98f5390e2389ce40668da83a9830487,Non-parametric Structured Output Networks,"Non-parametric Structured Output Networks
-Andreas M. Lehrmann
-Disney Research
-Pittsburgh, PA 15213
-Leonid Sigal
-Disney Research
-Pittsburgh, PA 15213"

 9cd8e1ccc5a410c7f31c7e404588597c0bb1952b,What ’ s your type ? Personalized Prediction of Facial Attractiveness 
,"Whats Your Type? Personalized Prediction of
 Facial Attractiveness
 Sam Crognale, Computer Science, Danish Shabbir Electrical Engineering
@@ -37375,10 +31823,6 @@ Introduction: Person re-identification, aiming to finding the images that
 match the target person in a large-scale image library, greatly reduces the
 time cost of human search. Due to its great significance to visual super-
 vision, it has rapidly become a research hotspot in the field of computer"

-9c731b820c495904a6f7d255d7e6a3bf9e5fc365,Geometric inpainting of 3D structures,"Geometric inpainting of 3D structures
-Pratyush Sahay, A.N. Rajagopalan
-Indian Institute of Technology Madras
-Chennai, India"

 9ca2dfe8a6265c4f6ea12bae0e7ff6ffc9128226,Dialog-based Interactive Image Retrieval,"Dialog-based Interactive Image Retrieval
 Xiaoxiao Guo†
 IBM Research AI
@@ -37421,15 +31865,6 @@ Robotics, Perception and Learning Lab
 Royal Institute of Technology (KTH)
 Stockholm, SE-100 44, Sweden
 Email: {nbore, ekz, patric,"

-9c576520ed9c960270715f790a62b9337ce88bd2,Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking,"Beyond Pixels: Leveraging Geometry and Shape Cues for Online
-Multi-Object Tracking
-Sarthak Sharma1∗, Junaid Ahmed Ansari1∗, J. Krishna Murthy2, K. Mahdava Krishna1
-Robotics Research Center, KCIS, IIIT Hyderabad, India
-Mila, Universite de Montreal, Canada
-denotes equal contribution
-Fig. 1. An illustration of the proposed method. The first two rows show objects tracks in frames t and t + 1. The bottom row depicts how 3D position
-nd orientation information is propagated from frame t to frame t + 1. This information is used to specify search areas for each object in the subsequent
-frame, and this greatly reduces the number of pairwise costs that are to be computed."

 9cfb3a68fb10a59ec2a6de1b24799bf9154a8fd1,Semi-supervised learning in Spectral Dimensionality Reduction,"Semi-supervised learning in
 Spectral Dimensionality Reduction
 Maryam Mehdizadeh
@@ -37458,11 +31893,6 @@ broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,"

-9c1305383ce2c108421e9f5e75f092eaa4a5aa3c,RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER RECOGNITION RESULT TO VISUAL FACES,"SPEAKER RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER
-RECOGNITION RESULT TO VISUAL FACES∗
-Yina Han*’, Joseph Razik’, Gerard Chollet’, and Guizhong Liu*
-*School of Electrical and Information Engineering, Xi’an Jiaotong University, Xi’an, China
-’CNRS-LTCI, TELECOM-ParisTech, Paris, France"

 9cd7487e0eed11dabc94dd867178204c53eb2270,Self-Organizing Traffic Lights : A Pedestrian Oriented Approach,"Self-Organizing Traffic Lights: A Pedestrian
 Oriented Approach
 Jessica S. Souza1, Cesar A. M. Ferreira2, Cassio E. dos Santos Jr3, Victor H. C. Melo4, William Robson Schwartz4
@@ -37533,13 +31963,6 @@ version
 http://dx.doi.org/10.1109/TIP.2009.2017163
 Item record
 http://hdl.handle.net/10379/1350"

-92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,"ISSN: 0976-9102 (ONLINE)
-ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, FEBRUARY 2017, VOLUME: 07, ISSUE: 03
-FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN
-A. Geetha1, M. Mohamed Sathik2 and Y. Jacob Vetharaj3
-Department of Computer Applications, Nesamony Memorial Christian College, India
-Department of Computer Science, Sadakathullah Appa College, India
-Department of Computer Science, Nesamony Memorial Christian College, India"

 921aaac9b33ec6a417bfc8bb0e21e11e743342c2,Image enhancement for improving face detection under non-uniform lighting conditions,"978-1-4244-1764-3/08/$25.00 ©2008 IEEE
 ICIP 2008"

 923412acb90ed2acbb29290147a567f39d2dfc95,FACS-BASED EMOTIONAL FACIAL EXPRESSIONS FACSGen : A Tool to Synthesize Emotional Facial Expressions through Systematic Manipulation of Facial Action Units,"J Nonverbal Behav
@@ -37607,9 +32030,6 @@ otherwise indicated. Previously published items are made available in accordance
 with the copyright policy of the publisher.
 http://www.sherpa.ac.uk/romeo/issn/0302-9743/
 https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm"

-92990ef7866ca906b595e2841e340725fb3ff8da,Generating Synthetic Data for Text Recognition,"Generating Synthetic Data for Text Recognition
-Praveen Krishnan and C.V. Jawahar
-CVIT, IIIT Hyderabad, India"

 92a044df6c37571aac25756252dda27676492bb5,IMPLEMENTATION OF REAL-TIME SYSTEM ON FPGA BOARD FOR HUMAN ' S FACE DETECTION AND TRACKING AUTHOR,"IMPLEMENTATION OF REAL-TIME SYSTEM ON FPGA BOARD FOR HUMAN'S
 FACE DETECTION AND TRACKING AUTHOR
 MOHD NORHAFIZ HASHIM
@@ -37665,26 +32085,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-92980965514210b4f6dd074d122078d54684f724,Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition,"Track Everything: Limiting Prior Knowledge in
-Online Multi-Object Recognition
-Sebastien C. Wong∗, Senior Member, IEEE, Victor Stamatescu†, Member, IEEE, Adam Gatt‡, Member, IEEE,
-David Kearney†, Ivan Lee† Senior Member, IEEE and Mark D. McDonnell†, Senior Member, IEEE ∗ Defence
-Science and Technology Group, Edinburgh, SA, Australia † Computational Learning Systems Laboratory, School
-of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA,
-Australia ‡ Australian Defence Force, Edinburgh, SA, Australia
-An important practical consideration in the design of online
-object recognition systems is the finite amount of labeled and
-nnotated data available for training. When scarce, this can de-
-grade classification performance due to overfitting and reduce
-the detection probability of highly tuned object detectors. Even
-when larger data sets are available, these may be biased in such
-way that their image statistics do not accurately reflect the
-data encountered by the system at run time [2]. In the case
-of classifier-based object recognition [3] and detection [4], the
-use of features, which are higher-level representations of an
-object than the raw image, can mitigate these problems by
-providing a degree of invariance across different data sets.
-In the case of tracking and object detection algorithms, the"

 927ac98da38db528b780f14996bb02b05009c9cc,Hand pose estimation through semi-supervised and weakly-supervised learning,"Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
 Natalia Neverovaa,∗, Christian Wolfa, Florian Neboutb, Graham W. Taylorc
 Universit´e de Lyon, INSA-Lyon, CNRS, LIRIS, F-69621, France
@@ -37743,21 +32143,6 @@ Ali Diba1
 , Mohsen Fayyaz2, Vivek Sharma3, A.Hossein Karami4, M.Mahdi Arzani4,
 Rahman Yousefzadeh4, Luc Van Gool1
 ESAT-PSI, KU Leuven, 2University of Bonn, 3CV:HCI, KIT, Karlsruhe, 4Sensifai"

-92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,"INTERSPEECH 2014
-Audio-Visual Signal Processing in a Multimodal Assisted Living Environment
-Alexey Karpov 1,5, Lale Akarun 2, Hülya Yalçın 3, Alexander Ronzhin 1, Barış Evrim Demiröz 2,
-Aysun Çoban 2 and Miloš Železný 4
-St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Russia
-Boğaziçi University, İstanbul, Turkey
-İstanbul Technical University, İstanbul, Turkey
-University of West Bohemia, Pilsen, Czech Republic
-5 University ITMO, St. Petersburg, Russia"

-92115b620c7f653c847f43b6c4ff0470c8e55dab,Training Deformable Object Models for Human Detection Based on Alignment and Clustering,"Training Deformable Object Models for Human
-Detection Based on Alignment and Clustering
-Benjamin Drayer and Thomas Brox
-Department of Computer Science,
-Centre of Biological Signalling Studies (BIOSS),
-University of Freiburg, Germany"

 92b61b09d2eed4937058d0f9494d9efeddc39002,BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance,"Under review in IJCV manuscript No.
 (will be inserted by the editor)
 BoxCars: Improving Vehicle Fine-Grained Recognition using
@@ -37801,21 +32186,6 @@ Alice Mado Proverbio, Laura Ornaghi, and Veronica Gabaro
 Department of Psychology, Neuro-MI Center for Neuroscience, University of Milano-Bicocca, Milano, Italy
 Correspondence should be addressed to Alice Mado Proverbio, Department of Psychology, University of Milano-Bicocca, piazza dell’Ateneo Nuovo 1, U6
 Building, Milano, Italy. E-mail:"

-a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM,"J.Savitha et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 722-731
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 4, Issue. 4, April 2015, pg.722 – 731
-RESEARCH ARTICLE
-ACTIVE APPEARANCE MODEL AND PCA
-BASED FACE RECOGNITION SYSTEM
-Mrs. J.Savitha M.Sc., M.Phil.
-Ph.D Research Scholar, Karpagam University, Coimbatore, Tamil Nadu, India
-Email:
-Dr. A.V.Senthil Kumar
-Director, Hindustan College of Arts and Science, Coimbatore, Tamil Nadu, India
-Email:"

 a3f1db123ce1818971a57330d82901683d7c2b67,Poselets and their applications in high-level computer vision,"Poselets and Their Applications in High-Level
 Computer Vision
 Lubomir Bourdev
@@ -37880,42 +32250,9 @@ Doctor of Philosophy
 Conrad Sanderson, BEng (Hons)
 August 2002
 [revised February 2003]"

-a308ad39f3cc25096f493280319621a25c2c7f46,Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes,"Monocular 3D Scene Modeling and Inference:
-Understanding Multi-Object Traffic Scenes
-Christian Wojek1,2, Stefan Roth1, Konrad Schindler1,3, and Bernt Schiele1,2
-Computer Science Department, TU Darmstadt
-MPI Informatics, Saarbr¨ucken
-Photogrammetry and Remote Sensing Group, ETH Z¨urich"

 a32ebfa79097fdf5c9d44d2f74e33b7c8343425c,A Deeper Look at Dataset Bias,"Chapter 2
 A Deeper Look at Dataset Bias
 Tatiana Tommasi, Novi Patricia, Barbara Caputo and Tinne Tuytelaars"

-a3d8b5622c4b9af1f753aade57e4774730787a00,Pose-Aware Person Recognition,"Pose-Aware Person Recognition
-Vijay Kumar (cid:63)
-Anoop Namboodiri (cid:63)
-(cid:63) CVIT, IIIT Hyderabad, India
-Manohar Paluri †
-Facebook AI Research
-C. V. Jawahar (cid:63)"

-a3177f82ea8391d9d733be47e4a0656a7b56e64c,Emotion Researcher ISRE ' s Sourcebook for Research on Emotion and Affect,"Emotion Researcher | ISRE's Sourcebook for Research on Emotion and Affect
-Emotion Researcher
-ISRE's Sourcebook for Research on Emotion and Affect
-Interviews
-Articles
-Spotlight
-Contact
-How To Cite ER
-Table of Contents
-New Editor Search
-THE ROLES OF EMOTIONS IN THE LAW
-Time  for  new  blood  at  the  helm  of Emotion
-Researcher! ISRE is seeking one or more new
-editors,  who  should  take  over  in April 2017. It
-is a fun and highly rewarding job. Nominations
-of suitable candidates are also encouraged.
-Editor’s Column
-In this issue of Emotion Researcher, we focus on the roles emotions play in the law. We will explore
-the emotions of jurors, judges, defendants, attorneys and other legal actors.
-Call for Papers"

 a3ad32249fcc85ef9dfb2ea575b0c636edcb2da9,Local Appearance-based 3D Face Recognition,"Universit¨at Karlsruhe
 Fakult¨at f¨ur Informatik
 Institut f¨ur Theoretische Informatik (ITI)
@@ -37968,36 +32305,11 @@ D. M. Anisuzzaman
 Department of Computer Science and Engineering,
 Ahsanullah University of Science and Technology,
 Dhaka, Bangladesh"

-a3be57fc74460463f03c2a14e81e7e62c05c692e,Object Detection,"Object Detection
-Yali Amit and Pedro Felzenszwalb, University of Chicago
-Related Concepts
-– Object Recognition
-– Image Classification
-Definition
-Object detection involves detecting instances of objects from a particular
-lass in an image.
-Background
-The goal of object detection is to detect all instances of objects from a known
-lass, such as people, cars or faces in an image. Typically only a small number
-of instances of the object are present in the image, but there is a very large
-number of possible locations and scales at which they can occur and that need
-to somehow be explored.
-Each detection is reported with some form of pose information. This could
-e as simple as the location of the object, a location and scale, or the extent
-of the object defined in terms of a bounding box. In other situations the pose
-information is more detailed and contains the parameters of a linear or non-linear
-transformation. For example a face detector may compute the locations of the
-eyes, nose and mouth, in addition to the bounding box of the face. An example"

 a3eab933e1b3db1a7377a119573ff38e780ea6a3,Sparse Representation for accurate classification of corrupted and occluded facial expressions,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
 ICASSP 2010"

 a32c5138c6a0b3d3aff69bcab1015d8b043c91fb,Video redaction: a survey and comparison of enabling technologies,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/19/2018
 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
 Videoredaction:asurveyandcomparisonofenablingtechnologiesShaganSahAmeyaShringiRaymondPtuchaAaronBurryRobertLoceShaganSah,AmeyaShringi,RaymondPtucha,AaronBurry,RobertLoce,“Videoredaction:asurveyandcomparisonofenablingtechnologies,”J.Electron.Imaging26(5),051406(2017),doi:10.1117/1.JEI.26.5.051406."

-a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,"Real-Time Deep Learning Method for Abandoned Luggage Detection in Video
-University of Bucharest, 14 Academiei, Bucharest, Romania
-Sorina Smeureanu∗‡, Radu Tudor Ionescu∗‡
-SecurifAI, 24 Mircea Vod˘a, Bucharest, Romania
-E-mails:"

 a3fcf3d32a5a4fcc83027e3d367ecc0df3ec4f64,Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength,"Iris Recognition: On the Segmentation
 of Degraded Images Acquired
 in the Visible Wavelength
@@ -38009,26 +32321,6 @@ Email: fsriparna r,"
 a3bf7248e38ed6f9456f0f309b36470c5c0dabd0,Predicting the Driver's Focus of Attention: the DR(eye)VE Project,"Predicting the Driver’s Focus of Attention:
 the DR(eye)VE Project
 Andrea Palazzi∗, Davide Abati∗, Simone Calderara, Francesco Solera, and Rita Cucchiara"

-a32f28156b47fd262e04426806037d138bb3ed0b,Fisher ’ s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition,"Optica Applicata, Vol. XL, No. 3, 2010
-Fisher’s linear discriminant (FLD)
-nd support vector machine (SVM)
-in non-negative matrix factorization (NMF)
-residual space for face recognition
-CHANGJUN ZHOU, XIAOPENG WEI*, QIANG ZHANG, XIAOYONG FANG
-Key Laboratory of Advanced Design and Intelligent Computing, Dalian University,
-Ministry of Education, Dalian, 116622, China
-*Corresponding author:
-A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for
-the  representation  of  face  images  for  face  recognition,  which  is  robust  to  the  slight  local
-feature changes. The residual images are computed by subtracting the reconstructed images from
-the original face images, and the reconstructed images are obtained by performing non-negative
-matrix factorization (NMF) on original images. FLD is applied to the residual images for extracting
-FLD subspace and the corresponding coefficient matrices. Furthermore, features are obtained by
-mapping the residual image to FLD subspace. Finally, the features are utilized to train and test
-support vector machines (SVMs) for face recognition. The computer simulation illustrates that
-this method is effective on the ORL database and the extended Yale face database B.
-Keywords: face recognition, Fisher linear discriminant (FLD), non-negative matrix factorization (NMF),
-residual image."

 a30e987e9909a4e307c35809275cf80431211f22,Automatic Sapstain Detection in Processed Timber Through Image Feature Analysis,"Automatic Sapstain Detection in Processed
 Timber Through Image Feature Analysis
 Jeremiah Deng
@@ -38155,14 +32447,6 @@ teaching and research institutions in France or
 broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents"

-79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,"Face Recognition via Globality-Locality Preserving Projections
-Sheng Huanga,∗, Dan Yanga,b, Fei Yangc, Yongxin Geb,d, Xiaohong Zhangb,d, Jiwen Lue
-College of Computer Science at Chongqing University, Chonqing, 400044, China
-School of Software Engineering at Chongqing University Chonqing, 400044, China
-Department of Computer Science at Rutgers University, Piscataway, NJ, 08854, USA
-dMinistry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society at Chongqing
-University Chonqing, 400044, China
-eAdvanced Digital Sciences Center (ADSC), 138632, Singapore"

 79b669abf65c2ca323098cf3f19fa7bdd837ff31,Efficient tensor based face recognition,"Deakin Research Online
 This is the published version:
 Rana, Santu, Liu, Wanquan, Lazarescu, Mihai and Venkatesh, Svetha 2008, Efficient tensor
@@ -38243,9 +32527,6 @@ October 2016"
 Arman Boehm(cid:91), Dongqu Chen§, Mario Frank(cid:91), Ling Huang†,
 Cynthia Kuo(cid:93), Tihomir Lolic(cid:91), Ivan Martinovic(cid:63), Dawn Song(cid:91)
 (cid:91) University of California, Berkeley; † Intel Labs; (cid:93) Nokia Research; (cid:63) Oxford University; § Yale University"

-79bd7fd2b40aadea84bced07f813ffc28c88bc85,Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption,"Low Rank Matrix Recovery with Simultaneous
-Presence of Outliers and Sparse Corruption
-Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE"

 7960336aed2aa701c147ccfe36d153046f1500bc,Occlusion Reasoning for Multiple Object Visual Tracking Dissertation Occlusion Reasoning for Multiple Object Visual Tracking Occlusion Reasoning for Multiple Object Visual Tracking,"OCCLUSION REASONING
 FOR MULTIPLE OBJECT VISUAL TRACKING
 ZHENG WU
@@ -38315,9 +32596,6 @@ Center for Visual Computing, CentraleSup´elec, Inria, Universit´e Paris-Saclay
 Grande Voie des Vignes, 92295 Chˆatenay-Malabry, France
 Center for Processing Speech and Images, Dept. Elektrotechniek, KU Leuven,
 Kasteelpark Arenberg 10, 3001 Leuven, Belgium"

-79c959833ff49f860e20b6654dbf4d6acdee0230,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,"Hide-and-Seek: A Data Augmentation Technique
-for Weakly-Supervised Localization and Beyond
-Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, and Yong Jae Lee, Member, IEEE"

 7903bccf6f98436f4916419e5450d1bb890876ea,Analysis of Spatiotemporal Ensemble Data Using Machine Learning,"Institut für Visualisierung und Interaktive Systeme
 Universität Stuttgart
 Universitätsstraße 38
@@ -38470,19 +32748,6 @@ Throughout this chapter, (cid:107)·(cid:107) denotes the standard Euclidean nor
 Problem (1) generalizes the more thoroughly studied class of composite convex optimization prob-
 lems [30], a class that has witnessed huge interest in machine learning, signal processing, statistics,
 nd other related areas. We refer the interested reader to [2, 3, 21, 37] for several convex examples"

-1dc4b5e93233fc632b070c8ff282ef0fe9141f64,2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM,"-D Structure-Based Gait Recognition in Video
-Using incremental GMM-HMM
-Rui Pu1, Yunhong Wang1
-Laboratory of Intelligence Recognition and Image Processing, Beijing Key
-Laboratory of Digital Media, School of Computer Science and Engineering, Beihang
-University, Beijing 100191, China"

-1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,"RESEARCH ARTICLE
-The Effects of Prediction on the Perception
-for Own-Race and Other-Race Faces
-Guangming Ran1,2, Qi Zhang3, Xu Chen1,2*, Yangu Pan1,2
-. Faculty of Psychology, Southwest University (SWU), Chongqing, 400715, China, 2. Research Center of
-Mental Health Education, Southwest University (SWU), Chongqing, 400715, China, 3. School of Education
-Science, Guizhou Normal University (GNU), Guizhou, 550001, China"

 1d58d83ee4f57351b6f3624ac7e727c944c0eb8d,Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions,"Enhanced Local Texture
 Feature Sets for Face
 Recognition under Difficult
@@ -38719,10 +32984,6 @@ Video Analytics On Surveillance Cameras
 Pratik Dubal(cid:63), Rohan Mahadev(cid:63), Suraj Kothawade(cid:63),
 Kunal Dargan, and Rishabh Iyer
 AitoeLabs (www.aitoelabs.com)"

-1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,"Iterated Support Vector Machines for Distance
-Metric Learning
-Wangmeng Zuo, Member, IEEE, Faqiang Wang, David Zhang, Fellow, IEEE, Liang Lin, Member, IEEE,
-Yuchi Huang, Member, IEEE, Deyu Meng, and Lei Zhang, Senior Member, IEEE"

 1d1e78bb93590a86ecfd2516f4e5789cc05d76f5,Generative Models,"FACE AUTHENTICATION BASED ON
 LOCAL FEATURES AND
 GENERATIVE MODELS
@@ -38730,19 +32991,6 @@ Fabien Cardinaux (a)
 IDIAP–RR 05-85
 JANUARY 2006
 ESEARCHREPRORTIDIAPRue du Simplon 4IDIAP Research Institute1920 Martigny − Switzerlandwww.idiap.chTel: +41 27 721 77 11Email: Box 592Fax: +41 27 721 77 12"

-1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38,Biometric Approach to Facial Signature Authentication using Thermal Imaging B,"www.semargroup.org,
-www.ijsetr.com
-ISSN 2319-8885
-Vol.03,Issue.26
-September-2014,
-Pages:5165-5171
-Biometric Approach to Facial Signature Authentication using Thermal Imaging
-BOMMAGANI SURESH
-, G.S.NAVEENKUMAR
-PG Scholar, Dept of ECE, Mallareddy College of Engineering and Technology, Secunderabad, India,
-Assoc Prof, Dept of ECE, Mallareddy College of Engineering and Technology, Secunderabad, India,
-Email:
-E-mail:"

 1d524c57214384ad6a003c54b1918130744b69d2,Identifying Human-Object Interactions in Motionless Images by Modeling the Mutual Context of Objects and Human Poses,"International Journal of Science and Research (IJSR)
 ISSN (Online): 2319-7064
 Impact Factor (2012): 3.358
@@ -38769,14 +33017,6 @@ POSTECH, Korea"
 with First Name Attributes
 Huizhong Chen, Student Member, IEEE, Andrew C. Gallagher, Senior Member, IEEE, and
 Bernd Girod, Fellow, IEEE"

-1d251acc459931d927f5befdfb5b9cdf643cd8bc,Bayesian Compression for Natural Language Processing,"Bayesian Compression for Natural Language Processing
-Nadezhda Chirkova1∗, Ekaterina Lobacheva1∗, Dmitry Vetrov1,2
-Samsung-HSE Laboratory, National Research University Higher School of Economics
-Samsung AI Center
-Moscow, Russia"

-1dca6a54d201dd56b41a5475aaf498a207083b0e,Ego-surfing first person videos,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Ego-Surfing First-Person Videos
-Ryo Yonetani, Member, IEEE, Kris M. Kitani, Member, IEEE, and Yoichi Sato, Member, IEEE"

 1d9bd24e65345258259ee24332141e371c6e4868,Learning Image Descriptors with Boosting,"Learning Image Descriptors with Boosting
 Tomasz Trzcinski, Mario Christoudias, and Vincent Lepetit"

 1d5d68bee741d81771e9224fe53806e85ed469aa,RATM: Recurrent Attentive Tracking Model,"RATM: Recurrent Attentive Tracking Model
@@ -38798,18 +33038,6 @@ Cordelia Schmid†"
 1df554e992baf60f2d0b7c1b563250ba19b8f8ff,3D Face Recognition Based on 3D Ridge Lines in Range Data,"-4244-1437-7/07/$20.00 ©2007 IEEE
 I - 137
 ICIP 2007"

-1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,"ISSN(Online): 2319-8753
-ISSN (Print):  2347-6710
-International Journal of Innovative Research in Science,
-Engineering and Technology
-(An ISO 3297: 2007 Certified Organization)
-Website: www.ijirset.com
-Vol. 6, Issue 7, July 2017
-Eye Controlled Robotic Motion Using Video
-Tracking In Real Time
-Kriti Bhattacharjee 1, Dr. Manoj Soni 2
-P.G. Student, Department of Mechanical and Automation Engineering, IGDTUW, New Delhi, India1
-Associate Professor, Department of Mechanical and Automation Engineering, IGDTUW, New Delhi, India2"

 1daf18f2b1bed861a9483de129223755260193fa,Near-Eye Display Gaze Tracking via Convolutional Neural Networks,"Near-Eye Display Gaze Tracking via Convolutional Neural Networks
 Robert Konrad
 Shikhar Shrestha
@@ -38819,26 +33047,6 @@ Features
 Jesús García-Ramírez, Ivan Olmos-Pineda, J. Arturo Olvera-López, and
 Manuel Martín-Ortíz
 Benemérita Universidad Autónoma de Puebla, Faculty of Computer Science, Puebla, México"

-1dff919e51c262c22630955972968f38ba385d8a,Toward an Affect-Sensitive Multimodal Human – Computer Interaction,"Toward an Affect-Sensitive Multimodal
-Human–Computer Interaction
-MAJA PANTIC, MEMBER, IEEE, AND LEON J. M. ROTHKRANTZ
-Invited Paper
-The ability to recognize affective states of a person we are com-
-municating with is the core of emotional intelligence. Emotional
-intelligenceisa facet of human intelligence thathas been argued to be
-indispensable and perhaps the most important for successful inter-
-personal social interaction. This paper argues that next-generation
-human–computer interaction (HCI) designs need to include the
-essence of emotional intelligence—the ability to recognize a user’s
-ffective states—in order to become more human-like, more effec-
-tive, and more efficient. Affective arousal modulates all nonverbal
-ommunicative cues (facial expressions, body movements, and vocal
-nd physiological reactions). In a face-to-face interaction, humans
-detect and interpret those interactive signals of their communicator
-with little or no effort. Yet design and development of an automated
-system that accomplishes these tasks is rather difficult. This paper
-surveys the past work in solving these problems by a computer
-nd provides a set of recommendations for developing the first"

 1d1f83023686d43fd4e8805c8e517dffb02d118c,Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors,"Compiler Enhanced Scheduling for OpenMP for
 Heterogeneous Multiprocessors
 Jyothi Krishna V S
@@ -38913,11 +33121,6 @@ Universiti Sains Malaysia, Malaysia,
 Universiti Sains Malaysia, Malaysia,
 Universiti Sains Malaysia, Malaysia,
 Universiti Sains Malaysia, Malaysia,"

-d3d887aebeeae44cefd5c2bdbb388d9ce109e335,Image Manipulation with Perceptual Discriminators,"Image Manipulation with
-Perceptual Discriminators
-Diana Sungatullina(cid:63), Egor Zakharov(cid:63), Dmitry Ulyanov, and Victor Lempitsky
-Skolkovo Institute of Science and Technology, Moscow, Russia
-{d.sungatullina, egor.zakharov, dmitry.ulyanov,"

 d3797366259182070c598e95cef8fff1ddb21f65,Distance-based Camera Network Topology Inference for Person Re-identification,"Distance-based Camera Network Topology Inference for Person Re-identification
 Yeong-Jun Cho and Kuk-Jin Yoon
 Computer Vision Laboratory, GIST, South Korea
@@ -39027,17 +33230,6 @@ School of Computer Science, University of Guelph
 School of Engineering, University of Guelph
 Vector Institute for Artificial Intelligence
 Canadian Institute for Advanced Research"

-d33fcdaf2c0bd0100ec94b2c437dccdacec66476,Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.,"Neurons with Paraboloid Decision Boundaries for
-Improved Neural Network Classification
-Performance
-Nikolaos Tsapanos, Anastasios Tefas, Member, IEEE, Nikolaos Nikolaidis, Member, IEEE, and
-Ioannis Pitas, Fellow, IEEE"

-d3c004125c71942846a9b32ae565c5216c068d1e,Recognizing Age-Separated Face Images: Humans and Machines,"RESEARCH ARTICLE
-Recognizing Age-Separated Face Images:
-Humans and Machines
-Daksha Yadav1, Richa Singh2, Mayank Vatsa2*, Afzel Noore1
-. West Virginia University, Morgantown, West Virginia, United States of America, 2. IIIT Delhi, New Delhi,
-Delhi, India"

 d31e47f45041736c93ec23ba1dbaef6c311e76d6,TÜB İ TAK UZAY at TRECVID 2009 : High-Level Feature Extraction and Content-Based Copy Detection,"TÜBİTAK UZAY at TRECVID 2009: High-Level Feature Extraction and
 Content-Based Copy Detection
 Ahmet Saracoğlu1,2, Ersin Esen1,2, Medeni Soysal1,2, Tuğrul K. Ateş1,2, Berker Loğoğlu1, Mashar Tekin1,
@@ -39118,33 +33310,10 @@ Camera Network Topology Inference in Camera Networks
 Yeong-Jun Cho, Jae-Han Park*, Su-A Kim*, Kyuewang Lee and Kuk-Jin Yoon
 Computer Vision Laboratory, GIST, South Korea
 {yjcho, qkrwogks, suakim, kyuewang,"

-8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,"Role of Active Pixels for Efficient Face Recognition on Mobile
-Environment
-Mallikarjuna Rao G1
-Gokaraju Rangaraju Institute of
-Engineering and
-Technology,Bachupally,
-Hyderabad-78. A.P, India
-Praveen Kumar1
-Gokaraju Rangaraju Institute of
-Engineering and
-Technology,Bachupally, Hyderabad-
-78. A.P, India
-Vijaya Kumari  G2
-Jawaharlal Nehru Technological
-University Hyderabad, Computer
-Science Department,
-Hyderabad ,A.P,   India
-Amit Pande3
-Computer Science Department,
-University of California-Davis,"

 8ff3c7b46ab36f1d01e96681baf512859cc80a4d,Dynamics of alpha oscillations elucidate facial affect recognition in schizophrenia.,"Dynamics of alpha oscillations elucidate facial affect
 recognition in schizophrenia
 Tzvetan G. Popov & Brigitte S. Rockstroh & Petia Popova &
 Almut M. Carolus & Gregory A. Miller"

-8fbe68810cbc53521395829620060cf9558231cc,Learning Discriminant Person-Specific Facial Models Using Expandable Graphs,"Learning Discriminant Person-Specific
-Facial Models Using Expandable Graphs
-Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE"

 8fc21217ee89c505930b540b716b11bab89d3bcd,Memory Efficient Nonuniform Quantization for Deep Convolutional Neural Network,"Memory Efficient Nonuniform Quantization for
 Deep Convolutional Neural Network
 Fangxuan Sun and Jun Lin"

@@ -39201,9 +33370,6 @@ Yuhua Chen1 Wen Li1 Christos Sakaridis1 Dengxin Dai1
 Luc Van Gool1,2
 Computer Vision Lab, ETH Zurich
 VISICS, ESAT/PSI, KU Leuven"

-8f89aed13cb3555b56fccd715753f9ea72f27f05,Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.,"Attended End-to-end Architecture for Age
-Estimation from Facial Expression Videos
-Wenjie Pei, Hamdi Dibeklio˘glu, Member, IEEE, Tadas Baltruˇsaitis and David M.J. Tax"

 8fc730d22f33d08be927e5449f359dc15b5c3503,Measuring and modeling the perception of natural and unconstrained gaze in humans and machines,"CBMM Memo No. 059
 November 28, 2016
 Measuring and modeling the perception of natural
@@ -39267,13 +33433,6 @@ Equinox Corporation
 07 East Redwood Street
 New York, NY 10019
 Baltimore, MD 21202"

-8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications","Electronic Letters on Computer Vision and Image Analysis 14(2):24-44; 2015
-A Survey on Human Emotion Recognition Approaches,
-Databases and Applications
-C.Vinola*, K.Vimaladevi†
-* Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli,Tamilnadu,India
-Department of Computer Science and Engineering, P.S.R Engineering College, Sivakasi, Tamilnadu,India
-Received 7th Aug 2015; accepted 30th Nov 2015"

 8f077eeeb9678a31e77a17a5c28c36699cf13f83,Gender classification of faces using adaboost,"Gender Classification of Faces Using Adaboost*
 Rodrigo Verschae1,2,3, Javier Ruiz-del-Solar1,2, and Mauricio Correa1,2
 Department of Electrical Engineering, Universidad de Chile
@@ -39340,10 +33499,6 @@ Network of Excellence
 01 June, 2004
 6 months
 D2.2.1"

-8f4c8a80e94a883356ee4c4425324dac5457661a,Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-Noise Robust Face Image Super-Resolution
-Through Smooth Sparse Representation
-Junjun Jiang, Member, IEEE, Jiayi Ma, Member, IEEE, Chen Chen, Xinwei Jiang, and Zheng Wang"

 8fa3478aaf8e1f94e849d7ffbd12146946badaba,Attributes for classifier feedback,"Attributes for Classifier Feedback
 Amar Parkash1 and Devi Parikh2
 Indraprastha Institute of Information Technology (Delhi, India)
@@ -39407,14 +33562,6 @@ Marina del Rey, CA 90292
 Allon G. Percus
 Claremont Graduate U.
 Claremont, CA 91711"

-912f1f57a010194047b6438cc1ea6bec95c6c2b8,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video
-Prediction
-Wonmin Byeon1,2,3,4, Qin Wang2,
-Rupesh Kumar Srivastava4, and Petros Koumoutsakos2
-NVIDIA, Santa Clara, CA, USA
-ETH Zurich, Zurich, Switzerland
-The Swiss AI Lab IDSIA, Manno, Switzerland
-NNAISENSE, Lugano, Switzerland"

 91d83d20cc22bde6b4b06afc87f76a1b0140d4e2,Image Classification Based on Quantum KNN Algorithm,"Noname manuscript No.
 (will be inserted by the editor)
 Image Classification Based on Quantum KNN
@@ -39445,12 +33592,6 @@ Time Based Re-ranking for Web Image Search
 Ms. A.Udhayabharadhi *, Mr. R.Ramachandran **
 * MCA Student, Sri Manakula Vinayagar Engineering College, Pondicherry-605106
 ** Assistant Professor dept of MCA, Sri Manakula Vinayagar Engineering College, Pondicherry-605106"

-91c014ff243ea747ea3a84a9efd4a3e38a7217ee,Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification,"Reinforced Temporal Attention and Split-Rate
-Transfer for Depth-Based Person
-Re-Identification
-Nikolaos Karianakis1, Zicheng Liu1, Yinpeng Chen1, and Stefano Soatto2
-Microsoft, Redmond, USA
-University of California, Los Angeles, USA"

 91ddac7d1d63c52cbe30fe27674b9c1e54bc584c,Development of EyeBlink and Face Corpora for Research in Human Computer Interaction,"(IJACSA) International Journal of Advanced Computer Science and Applications,
 Vol. 6, No. 5, 2015
 Development of Eye-Blink and Face Corpora for
@@ -39511,9 +33652,6 @@ FEEDTUM Database, CK+ Database."
 91811203c2511e919b047ebc86edad87d985a4fa,Expression Subspace Projection for Face Recognition from Single Sample per Person,"Expression Subspace Projection for Face
 Recognition from Single Sample per Person
 Hoda Mohammadzade, Student Member, IEEE, and Dimitrios Hatzinakos, Senior Member, IEEE"

-91ee88754cc7a193d51656a3b53e16389bf4aadb,Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images,"Fast and Accurate Algorithm for Eye Localization
-for Gaze Tracking in Low Resolution Images
-Anjith George, Member, IEEE, and Aurobinda Routray, Member, IEEE"

 91d513af1f667f64c9afc55ea1f45b0be7ba08d4,Automatic Face Image Quality Prediction,"Automatic Face Image Quality Prediction
 Lacey Best-Rowden, Student Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

 91e58c39608c6eb97b314b0c581ddaf7daac075e,Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks,"Pixel-wise Ear Detection with Convolutional
@@ -39543,15 +33681,6 @@ Departm
 ment of Electrical and Electronic Engineering
 he University of Hong Kong, Pokfulam,
 Hong Kong"

-91f2b2aeb7e65d0b673ed7e782488b3365027979,NUS-PRO: A New Visual Tracking Challenge,"NUS-PRO: A New Visual Tracking Challenge
-Annan Li, Member, IEEE, Min Lin, Member, IEEE, Yi Wu, Member, IEEE,
-Ming-Hsuan Yang, Senior Member, IEEE, and Shuicheng Yan, Senior Member, IEEE"

-914fd65d29094e434346806bdddeb17d9468610d,SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
-SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY
-CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION
-Sathish Kumar Penchala1, Pallavi S.Umap2
-Assistant Professor, Dept. of Computer Engineering, Dr. D.Y.Patil SOET., Lohegaon, Pune-47, Maharashtra, India
-ME 2nd year, Dept. of Computer Engineering, Dr.D.Y.Patil SOET., Lohegaon, Pune-47, Maharashtra India"

 9168b36568b8abffab5b9de029be5941f673dca2,Improving 3 D Facial Action Unit Detection with Intrinsic Normalization,"YUDIN, ET AL.: IMPROVING 3D AU DETECTION WITH INTRINSIC NORMALIZATION
 Improving 3D Facial Action Unit Detection
 with Intrinsic Normalization
@@ -39605,8 +33734,6 @@ Decomposition
 Muwei Jian,  Kin-Man Lam*, Senior Member, IEEE
 (SVD)
 for  performing  both"

-9131c990fad219726eb38384976868b968ee9d9c,Deep Facial Expression Recognition: A Survey,"Deep Facial Expression Recognition: A Survey
-Shan Li and Weihong Deng∗, Member, IEEE"

 91a5897565818631a32ce4edae5548d2baf99d77,APPROACH TO RECOGNIZING FACES UNDER VARYING POSE GIVEN A SINGLE-VIEW,"The Pennsylvania State University
 The Graduate School
 College of Engineering
@@ -39663,26 +33790,6 @@ Zaid Harchaouia,b
 NYU
 Inria∗
 Cordelia Schmida"

-208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,"Identifying Implementation Bugs in Machine Learning Based
-Image Classifiers using Metamorphic Testing
-Anurag Dwarakanath
-Accenture Technology Labs
-Bangalore, India
-Raghotham M. Rao
-Accenture Technology Labs
-Bangalore, India
-Manish Ahuja
-Accenture Technology Labs
-Bangalore, India
-R. P. Jagadeesh Chandra Bose
-Accenture Technology Labs
-Bangalore, India
-Samarth Sikand
-Accenture Technology Labs
-Bangalore, India
-Neville Dubash
-Accenture Technology Labs
-Bangalore, India"

 20f9a09defe5b02b98c464ca6df36b3b6358f60b,The State-of-the-Art in Visual Object Tracking,Volume 36 Number 3 September 2012

 2049ca79ce94ddfe0cc3d39bf770f580a740f3ac,Activity analysis : finding explanations for sets of events,ActivityAnalysis:FindingExplanationsforSetsofEventsbyDimaJamalAlDamenSubmittedinaccordancewiththerequirementsforthedegreeofDoctorofPhilosophy.TheUniversityofLeedsSchoolofComputingSeptember2009Thecandidateconfirmsthattheworksubmittedisherownandthattheappropriatecredithasbeengivenwherereferencehasbeenmadetotheworkofothers.Thiscopyhasbeensuppliedontheunderstandingthatitiscopyrightmaterialandthatnoquotationfromthethesismaybepublishedwithoutproperacknowledgement.

 20928315086a49e0cdea0ec66f2e78e9c564f794,Person Detection for Indoor Videosurveillance Using Spatio-temporal Integral Features,"Person Detection for Indoor Videosurveillance
@@ -39782,10 +33889,6 @@ Elena Battini S˝onmez1, Bulent Sankur2 and Songul Albayrak3
 Computer Science Department, Bilgi University, Dolapdere, Istanbul, TR
 Electric and Electronic Engineering Department, Bo¯gazici University, Istanbul, TR
 Computer Engineering Department, Yıldız Teknik University, Istanbul, TR"

-20532b1f80b509f2332b6cfc0126c0f80f438f10,A Deep Matrix Factorization Method for Learning Attribute Representations,"A deep matrix factorization method for learning
-ttribute representations
-George Trigeorgis, Konstantinos Bousmalis, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE
-Bj¨orn W. Schuller, Senior member, IEEE"

 205b34b6035aa7b23d89f1aed2850b1d3780de35,Log-domain polynomial filters for illumination-robust face recognition,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
 978-1-4799-2893-4/14/$31.00 ©2014 IEEE
 Shenzhen Key Lab. of Information Sci&Tech,
@@ -39839,28 +33942,6 @@ Corporate Research and Development Center, Toshiba Corporation
 203fcd66c043e44fefd783b8f54105f0a577fc25,Analyzing Content and Customer Engagement in Social Media with Deep Learning,"Analyzing Content and Customer Engagement in
 Social Media with Deep Learning
 (The bulk of this work was done by a student.)"

-20a052963f2c46aff817f34a09c396c44b3e46da,Visually Grounded Meaning Representations,"Visually Grounded Meaning Representations
-Carina Silberer, Member, IEEE, Vittorio Ferrari, Member, IEEE, Mirella Lapata, Member, IEEE"

-2004afb2276a169cdb1f33b2610c5218a1e47332,Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition,"Hindawi
-Computational Intelligence and Neuroscience
-Volume 2018, Article ID 3803627, 11 pages
-https://doi.org/10.1155/2018/3803627
-Research Article
-Deep Convolutional Neural Network Used in Single Sample per
-Person Face Recognition
-Junying Zeng , Xiaoxiao Zhao , Junying Gan , Chaoyun Mai
-nd Fan Wang
-, Yikui Zhai,
-School of Information Engineering, Wuyi University, Jiangmen 529020, China
-Correspondence should be addressed to Xiaoxiao Zhao;
-Received 27 November 2017; Revised 23 May 2018; Accepted 26 July 2018; Published 23 August 2018
-Academic Editor: Jos´e Alfredo Hern´andez-P´erez
-Copyright © 2018 Junying Zeng et al. 0is is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision. Since there is only one sample to be
-trained, it makes facial variation such as pose, illumination, and disguise dif‌f‌icult to be predicted. To overcome this problem, this paper
-proposes a scheme combined traditional and deep learning (TDL) method to process the task. First, it proposes an expanding sample
-method based on traditional approach. Compared with other expanding sample methods, the method can be used easily and"

 2056ba48e687d619c0ce69d0be323d48c5b90701,Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking.,"Similarity Mapping with Enhanced Siamese Network
 for Multi-Object Tracking
 Minyoung Kim
@@ -39965,11 +34046,6 @@ destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de
 recherche français ou étrangers, des laboratoires"

-20f64a00593ae2c6ebbe87b41394335152f9b165,A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose,"A Hybrid of Principal Component Analysis and Partial
-Least Squares for Face Recognition across Pose
-Ajay Jaiswal, Nitin Kumar, and R.K. Agrawal
-School of Computer and Systems Sciences
-Jawaharlal Nehru University, New Delhi, India"

 2084e54505cfe4fd81005167b1b11d10b5f837d1,Person Re-Identification by Discriminative Selection in Video,"Person Re-Identification by Discriminative Selection in Video Ranking
 Wang, T; Gong, S; Zhu, X; Wang, S
 •(cid:9)“The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319-
@@ -39997,22 +34073,6 @@ Antoine Deleforge∗ Radu Horaud∗ Yoav Y. Schechner‡ Laurent Girin∗†
 INRIA Grenoble Rhˆone-Alpes, Montbonnot Saint-Martin, France
 Univ. Grenoble Alpes, GIPSA-Lab, France
 Dept. Electrical Eng., Technion-Israel Inst. of Technology, Haifa, Israel"

-c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,"K.Senthamil Selvi et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014, pg. 337-342
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 3, Issue. 2, February 2014, pg.337 – 342
-RESEARCH ARTICLE
-FACE RECOGNITION BASED
-ATTENDANCE MARKING SYSTEM
-K.Senthamil Selvi1, P.Chitrakala2, A.Antony Jenitha3
-M. Tech Scholar, Department of Information and Technology,
-Hindustan University, Chennai, Tamilnadu, India
-Assistant Professor, Department of Information and Technology,
-Hindustan University, Chennai, Tamilnadu, India
-M. Tech Scholar, Department of Information and Technology,
-Hindustan University, Chennai, Tamilnadu, India"

 c4dcf41506c23aa45c33a0a5e51b5b9f8990e8ad,Understanding Activity : Learning the Language of Action,"Understanding Activity: Learning the Language of Action
 Randal Nelson and Yiannis Aloimonos
 Univ. of Rochester and Maryland
@@ -40070,13 +34130,6 @@ Steve Branson · Grant Van Horn · Catherine Wah ·
 Pietro Perona · Serge Belongie
 Received: 7 March 2013 / Accepted: 8 January 2014 / Published online: 20 February 2014
 © Springer Science+Business Media New York 2014"

-c450b742717dd56039466c3f761982355bd0576a,Literature Assessment for Pose-Invariant Face Recognition,"International Journal of Scientific Research Engineering & Technology (IJSRET)
-Volume 2 Issue 10   pp 653-658 January 2014
-www.ijsret.org            ISSN 2278 – 0882
-Literature Assessment for Pose-Invariant Face Recognition
-S.Jebha, P.KANNAN
-PG Scholar Department of ECE, PET Engineering College, India
-Professor Department of ECE, PET Engineering College, India"

 c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d,Pedestrian Detection Optimization Based on Random Filtering,"Pedestrian Detection Optimization Based on
 Random Filtering
 Victor Hugo Cunha de Melo, Samir Le˜ao, William Robson Schwartz
@@ -40120,12 +34173,6 @@ c4827fe8002ea61a2748b78369afe3a0747d1a0c,Towards Optimal Naive Bayes Nearest Nei
 R´egis Behmo1, Paul Marcombes1,2, Arnak Dalalyan2, and V´eronique Prinet1
 NLPR / LIAMA, Institute of Automation, Chinese Academy of Sciences(cid:2)
 IMAGINE, LIGM, Universit´e Paris-Est"

-c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,"Face Recognition using Discriminant Face Features Extraction method
-Miss. Poonam S. Sharma1, Prof. Nitin R. Chopde2
-Student of Master of Engineering in (CSE), G.H. Raisoni college of Engineering and Technology,
-2Assistant professor Department of (CSE), G.H. Raisoni College of Engineering and Technology,
-Amravati, India
-Amravati, India"

 c43490eb0a3ce18fb2326ef1d0828664b60e73e2,Is This Car Looking at You? How Anthropomorphism Predicts Fusiform Face Area Activation when Seeing Cars,"RESEARCH ARTICLE
 Is This Car Looking at You? How
 Anthropomorphism Predicts Fusiform Face
@@ -40146,26 +34193,6 @@ Department of Communications and Information Engineering, University of Murcia,
 (J.C.-J.); (M.V.-V.); (A.F.S.)
 * Correspondence: Tel.: +34-868-884-644
 Received: 30 June 2017; Accepted: 21 August 2017; Published: 24 August 2017"

-c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,"New Fuzzy LBP Features for Face Recognition
-Abdullah Gubbia, Mohammed Fazle Azeemb Zahid Ansaric
-Department of Electronics and Communications, P.A. College of Engineering, Mangalore, India,
-Contact:
-Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India,
-Department of Computer Science, P.A. College of Engineering, Mangalore, India,
-zahid
-Contact:
-Contact:
-There are many Local texture features each very in way they implement and each of the Algorithm trying
-improve the performance. An attempt is made in this paper to represent a theoretically very simple and com-
-putationally effective approach for face recognition. In our implementation the face image is divided into 3x3
-sub-regions from which the features are extracted using the Local Binary Pattern (LBP) over a window, fuzzy
-membership function and at the central pixel. The LBP features possess the texture discriminative property
-nd their computational cost is very low. By utilising the information from LBP, membership function, and
-entral pixel, the limitations of traditional LBP is eliminated. The bench mark database like ORL and Shef‌f‌ield
-Databases are used for the evaluation of proposed features with SVM classifier. For the proposed approach K-fold
-nd ROC curves are obtained and results are compared.
-Keywords : Face Recognition, Fuzzy Logic, Information Set, Local Binary Pattern, SVM.
-. INTRODUCTION"

 c48c452f26e54f37faaf025ca3c76b33ce3e40f6,Incremental learning of latent structural SVM for weakly supervised image classification,"INCREMENTAL LEARNING OF LATENT STRUCTURAL SVM FOR WEAKLY SUPERVISED
 IMAGE CLASSIFICATION
 Thibaut Durand (1)
@@ -40278,19 +34305,10 @@ DEIR, University of Sassari, via Torre Tonda 34, 07100 Sassari, Italy
 Phone +39 079 2017321
 DAP, University of Sassari, piazza Duomo 6, 07041 Alghero (SS), Italy"

 8e112ad656ff90720ae609841bd0fcb2caa90d65,"""Show Me the Cup"": Reference with Continuous Representations",[cs.CL]  28 Jun 2016

-8edcd935362c899e630349784e4ff8adb3a69cdc,Person re-identification using deformable patch metric learning,"Person Re-identification using Deformable Patch Metric Learning
-Sławomir B ˛ak
-Peter Carr
-Disney Research
-Pittsburgh, PA, USA, 15213"

 8eabd39cf43596e56f377aa26f985ef20f0aeb4e,On the Recent Use of Local Binary Patterns for Face Authentication,"INTERNATIONAL JOURNAL OF IMAGE AND VIDEO PROCESSING, SPECIAL ISSUE ON FACIAL IMAGE PROCESSING
 On the Recent Use of Local Binary Patterns for
 Face Authentication
 S´ebastien Marcel, Yann Rodriguez and Guillaume Heusch"

-8ea56e4697430d1dbc728bad5a6e8ebafcced835,Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery,"Adaptive Stochastic Gradient Descent on the
-Grassmannian for Robust Low-Rank Subspace
-Recovery
-Jun He, Member, IEEE, Yue Zhang, Student Member, IEEE"

 8e33183a0ed7141aa4fa9d87ef3be334727c76c0,Robustness of Face Recognition to Image Manipulations,"– COS429 Written Report, Fall 2017 –
 Robustness of Face Recognition to Image Manipulations
 Cathy Chen (cc27), Zachary Liu (zsliu), and Lindy Zeng (lindy)
@@ -40363,13 +34381,6 @@ during learning process; (2) keeping learning new knowledge"
 Turkish Journal of Psychiatry
 Neuroimaging Findings in Auti sm: A Brief Review
 Halime Tuna ULAY1, Aygün ERTUĞRUL2"

-8e461978359b056d1b4770508e7a567dbed49776,LOMo: Latent Ordinal Model for Facial Analysis in Videos,"LOMo: Latent Ordinal Model for Facial Analysis in Videos
-Karan Sikka1,∗
-Gaurav Sharma2,3,†
-Marian Bartlett1,∗,‡
-UCSD, USA
-MPI for Informatics, Germany
-IIT Kanpur, India"

 8e9ff8224753b22e3b1f8bbe271382d6fdb8ddfa,Scale optimization for full-image-CNN vehicle detection,"Scale Optimization for Full-Image-CNN Vehicle Detection
 Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai and Gary Overetta"

 8e6526b46a52a18028336a8d026e9d466aa12edf,Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition,"Moving Poselets: A Discriminative and Interpretable Skeletal Motion
@@ -40568,13 +34579,6 @@ synchrony, alliance, fighting capacity
 Author for correspondence:
 Daniel M. T. Fessler
 e-mail:"

-8e64f7f38db57ddc197cc7a9c51b914920ee99cc,AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING,"The International Journal of Multimedia & Its Applications (IJMA) Vol.6, No.4, August 2014
-AN OPTIMIZED FRAMEWORK FOR DETECTION
-AND TRACKING OF VIDEO OBJECTS IN
-CHALLENGING BACKGROUNDS
-Sukanyathara J1 and Alphonsa Kuriakose2
-Department of Computer Science & Engineering,
-Viswajyothi College of Engineering & Technology, MG University, Kerala, India"

 8e6adaf03ac84acc16e428869b66a5a1e94ed753,Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data,"Privacy-preserving classifiers recognize shared
 mobility behaviours from WiFi network imperfect
 Orestes Manzanilla-Salazar∗ and Brunilde Sansò†
@@ -40799,22 +34803,9 @@ Institute of Psychology, Faculty of Social Sciences, Erasmus University Rotterda
 Netherlands
 School of Social and Behavioral Sciences, Tilburg University, The Netherlands
 Sensation, Perception and Behaviour, Unilever R&D Vlaardingen, The Netherlands"

-a1b1442198f29072e907ed8cb02a064493737158,Crowdsourcing Facial Responses to Online Videos,"Crowdsourcing Facial Responses
-to Online Videos
-Daniel McDuff, Student Member, IEEE, Rana El Kaliouby, Member, IEEE, and
-Rosalind W. Picard, Fellow, IEEE"

 a139c62c27a884cf447ad020cb7b154e63477681,A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments,"A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in
 Object Cluttered Environments
 Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan Nieto, Roland Siegwart, and Cesar Cadena"

-a1e97c4043d5cc9896dc60ae7ca135782d89e5fc,"Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints","IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Re-identification of Humans in Crowds using
-Personal, Social and Environmental Constraints
-Shayan Modiri Assari, Member, IEEE, Haroon Idrees, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

-a175f20189f028a1420b76ae42f6dfe99d8d6847,Where and Why Are They Looking ? Jointly Inferring Human Attention and Intentions in Complex Tasks,"Where and Why Are They Looking? Jointly Inferring Human Attention and
-Intentions in Complex Tasks
-Ping Wei1,2, Yang Liu2, Tianmin Shu2, Nanning Zheng1, and Song-Chun Zhu2
-School of Electronic and Information Engineering, Xi’an Jiaotong University, China
-Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles"

 a133374b9630bbe6eb2b7de8c3204aa57e75c582,A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping.,"A Deep Network Solution for Attention and
 Aesthetics Aware Photo Cropping
 Wenguan Wang, Jianbing Shen, Senior Member, IEEE, and Haibin Ling"

@@ -40938,9 +34929,6 @@ d1a0425f764ce8847d20d278e4a4267c8258c4dc,3D Human Pose Estimation with Siamese E
 Embedding
 M´arton V´egesa,∗, Viktor Vargaa, Andr´as L˝orincza
 E¨otv¨os Lor´and University, Budapest, Hungary"

-d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705,Local Color Contrastive Descriptor for Image Classification,"Local Color Contrastive Descriptor for Image
-Classification
-Sheng Guo, Student Member, IEEE, Weilin Huang, Member, IEEE, and Yu Qiao, Senior Member, IEEE"

 d170adb2c508edaedb731ada8cb995172a839a1f,Cascade of Boolean detector combinations,"Mahkonen et al. EURASIP Journal on Image and Video
 Processing  (2018) 2018:61
 https://doi.org/10.1186/s13640-018-0303-9
@@ -41006,12 +34994,6 @@ Thomas Kemp
 Sony Europe Ltd.†
 Akira Nakamura
 Sony Corporation‡"

-d12c343e60f9cc1a0c6c94c138f38e6bffe22001,Diverse Sampling for Self-Supervised Learning of Semantic Segmentation,"Diverse Sampling for Self-Supervised Learning of Semantic Segmentation
-Mohammadreza Mostajabi ∗
-Nicholas Kolkin ∗
-Toyota Technological Institute at Chicago
-{mostajabi, nick.kolkin,
-Gregory Shakhnarovich"

 d1c103c63d930d3ae7397618f486117a48e35f16,Does gaze direction modulate facial expression processing in children with autism spectrum disorder?,"BIROn - Birkbeck Institutional Research Online
 Enabling open access to Birkbeck’s published research output
 Does gaze direction modulate facial expression
@@ -41032,21 +35014,10 @@ Does gaze direction modulate facial expression processing in children
 with autism spectrum disorder?
 Deposit Guide
 Contact:"

-d1dd0c714950cbd89f76ec6b039201eadf74cade,Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections,"Person Re-identification Using Robust
-Brightness Transfer Functions Based
-on Multiple Detections
-Amran Bhuiyan(B), Behzad Mirmahboub, Alessandro Perina,
-nd Vittorio Murino
-Pattern Analysis and Computer Vision (PAVIS),
-Istituto Italiano di Tecnologia, Genova, Italy"

 d1e66107eb084ea0ef5a97f3363f8787b8df91ed,Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching,"Max-margin Regularization for Reducing
 Accidentalness in Chamfer Matching
 Angela Eigenstetter*, Pradeep Yarlagadda* and Bj¨orn Ommer
 Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany"

-d138270d3c06e85fa2c3da6f953818da4b72313a,An Analytical Framework for Estimating Scale-Out and Scale-Up Power Efficiency of Heterogeneous Manycores,"An Analytical Framework for Estimating
-Scale-Out and Scale-Up Power Efficiency
-of Heterogeneous Manycores
-Jun Ma, Guihai Yan, Member, IEEE, Yinhe Han, Member, IEEE, and Xiaowei Li, Senior Member, IEEE"

 d1295a93346411bb833305acc0e092c9e3b2eff1,The eMPaThy iMBalance hyPoThesis oF aUTisM : a TheoReTical aPPRoach To cogniTiVe and eMoTional eMPaThy in aUTisTic deVeloPMenT,"the Psychological record, 2009, 59, 489-510
 The eMPaThy iMBalance hyPoThesis oF aUTisM:
 TheoReTical aPPRoach To cogniTiVe and
@@ -41106,11 +35077,6 @@ Univ Lille Nord de France, 59000 Lille, France
 IFSTTAR, COSYS, LEOST, 59650 Villeneuve d’Ascq, France
 Normandie Univ., UNICAEN, ENSICAEN, GREYC UMR CNRS 6072,
 Caen, France"

-d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,"Efficient Semantic Segmentation using Gradual Grouping
-Nikitha Vallurupalli1, Sriharsha Annamaneni1, Girish Varma1,
-C V Jawahar1, Manu Mathew2, Soyeb Nagori2
-Center for Visual Information Technology, Kohli Center on Intelligent Systems, IIIT-Hyderabad, India
-Texas Instruments, Bangalore, India"

 d1dfdc107fa5f2c4820570e369cda10ab1661b87,Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation,"Super SloMo: High Quality Estimation of Multiple Intermediate Frames
 for Video Interpolation
 Huaizu Jiang1
@@ -41140,10 +35106,6 @@ Yu-Siang Wang1, Chenxi Liu2, Xiaohui Zeng3, Alan Yuille2
 : National Taiwan University
 : Johns Hopkins University
 : Hong Kong University of Science and Technology"

-d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,"Person Re-Identification by Iterative
-Re-Weighted Sparse Ranking
-Giuseppe Lisanti, Iacopo Masi, Andrew D. Bagdanov, Member, IEEE, and
-Alberto Del Bimbo, Member, IEEE"

 d1c0592f4f9f0ff2e14e0591d87539e5141b7361,Mobile Emotion Recognition Engine,"Mobile Emotion Recognition Engine
 Alberto Scicali1"

 d122d66c51606a8157a461b9d7eb8b6af3d819b0,AUTOMATED RECOGNITION OF FACIAL EXPRESSIONS,"Vol-3 Issue-4 2017
@@ -41179,17 +35141,6 @@ Audi Electronics Venture GmbH, Germany
 d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576,Neural Face Editing with Intrinsic Image Disentangling,"Neural Face Editing with Intrinsic Image Disentangling
 Zhixin Shu1 Ersin Yumer2 Sunil Hadap2 Kalyan Sunkavalli2 Eli Shechtman 2 Dimitris Samaras1,3
 Stony Brook University 2Adobe Research 3 CentraleSup´elec, Universit´e Paris-Saclay"

-6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,"AttentionNet: Aggregating Weak Directions for Accurate Object Detection
-Donggeun Yoo
-Sunggyun Park
-KAIST
-KAIST
-Joon-Young Lee∗
-KAIST
-Anthony S. Paek
-Lunit Inc.
-In So Kweon
-KAIST"

 6f3391fda6b25796b5e051f822f91243f69276cb,Performance Comparison of Various Face Detection Techniques,"International Journal of Scientific Research Engineering & Technology (IJSRET)
 Volume 2 Issue1   pp 019-0027 April 2013
 ISSN 2278 - 0882
@@ -41232,17 +35183,6 @@ is showed. The biometric pattern of the system is a set of feature points repres
 pattern extraction and matching is described. Also, a deep analysis of similarity metrics performance is presented for the biometric
 system. A database with samples of retina images from users on different moments of time is used, thus simulating a hard and real
 environment of verification. Even in this scenario, the system allows to establish a wide confidence band for the metric threshold"

-6fe149e588a5bf15bf89edfedb1a29cc31384ddc,Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI,"Fully Convolutional Networks for Automated Segmentation
-of Abdominal Adipose Tissue Depots in Multicenter
-Water-Fat MRI
-Taro Langner1*, Anders Hedstr¨om2, Katharina Paulmichl3,4, Daniel Weghuber3,4,
-Anders Forslund5, Peter Bergsten5,6, H˚akan Ahlstr¨om1,2, Joel Kullberg1,2
-Dept. of Radiology, Uppsala University, Uppsala, Sweden
-Antaros Medical, BioVenture Hub, M¨olndal, Sweden
-Dept. of Pediatrics, Paracelsus Medical University, 5020 Salzburg, Austria
-Obesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria
-5Dept. of Women’s and Children’s Health, Uppsala University, Uppsala, SE 751 05, Sweden
-6Dept. of Medical Cell Biology, Uppsala University, Uppsala, SE 751 23, Sweden"

 6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7,Improving GAN Training via Binarized Representation Entropy (BRE) Regularization,"Published as a conference paper at ICLR 2018
 IMPROVING GAN TRAINING VIA
 BINARIZED REPRESENTATION ENTROPY (BRE)
@@ -41259,36 +35199,11 @@ Facial Recognition Utilizing Patch Based Game Theory
 Foysal Ahmad, Kaushik Roy, Brian O‟Connor, Joseph Shelton, Pablo Arias, Albert Esterline, and Gerry
 Dozier
 theory.  Texture  based"

-6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de,Crowd Counting via Scale-Adaptive Convolutional Neural Network,"Crowd counting via scale-adaptive convolutional neural network
-Lu Zhang∗†
-Tencent Youtu
-Miaojing Shi∗
-Qiaobo Chen†
-Inria Rennes & Tencent Youtu
-Shanghai Jiaotong University"

-6f2bc1a4fbe3e00881b56c145a568264bd3c76f1,Spectral Regression dimension reduction for multiple features facial image retrieval,"Int. J. Biometrics, Vol. 4, No. 1, 2012
-Spectral Regression dimension reduction for
-multiple features facial image retrieval
-Bailing Zhang*
-Department of Computer Science
-nd Software Engineering,
-Xi’an Jiaotong-Liverpool University,
-Suzhou 215123, China
-E-mail:
-*Corresponding author
-Yongsheng Gao
-School of Engineering,
-Griffith University,
-QLD 4111, Australia
-E-mail:"

 6f1be86c77492af422e936028858c9180b52b698,Indoor Scene Understanding in 2.5/3D: A Survey,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JULY 2015
 Indoor Scene Understanding in 2.5/3D: A Survey
 Muzammal Naseer, Salman H Khan, Fatih Porikli"

 6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe,A novel rank order LoG filter for interest point detection,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
 ICASSP 2012"

-6f53466b17a2f9da4dbd1d870e822a1f8e837044,Image Aesthetic Assessment: An experimental survey,"Image Aesthetic Assessment:
-An Experimental Survey
-Yubin Deng, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

 6f5151c7446552fd6a611bf6263f14e729805ec7,Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers,".=?E= )?JE 7EJ 4A?CEJE KIEC
 ?= *E=HO 2=JJAH .A=JKHAI MEJD
 -++ +=IIE
AHI
@@ -41358,10 +35273,6 @@ Institut f¨ur Neuroinformatik, Ruhr-Universit¨at Bochum,44780 Bochum, Germany"
 An Experimental and Reproducible Research
 Survey
 Manuel G¨unther and Laurent El Shafey and S´ebastien Marcel"

-6f288a12033fa895fb0e9ec3219f3115904f24de,Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,"Learning Expressionlets via Universal Manifold
-Model for Dynamic Facial Expression Recognition
-Mengyi Liu, Student Member, IEEE, Shiguang Shan, Senior Member, IEEE, Ruiping Wang, Member, IEEE,
-Xilin Chen, Senior Member, IEEE"

 6f77ff9990973a6cdad6b5b6022323bff9d03965,Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions,"017 IEEE Winter Conference on Applications of Computer Vision Workshops
 Action Recognition in Still Images Using Word Embeddings from Natural
 Language Descriptions
@@ -41388,9 +35299,6 @@ University of Fribourg, Switzerland
 Two-Branch Deep Convolutional Neural Network
 Architecture
 Erfan Zangeneh, Mohammad Rahmati, and Yalda Mohsenzadeh"

-6f41b528abc34c249038f612a6c1033790ace628,Discriminant Subspace Analysis: An Adaptive Approach for Image Classification,"Discriminant Subspace Analysis: An Adaptive
-Approach for Image Classification
-Yijuan Lu, Member, IEEE, and Qi Tian, Senior Member, IEEE"

 6f1a784ebb8df0689361afe26a2e5f7a1f4c66ca,A unified probabilistic framework for measuring the intensity of spontaneous facial action units,"A Unified Probabilistic Framework For Measuring The Intensity of
 Spontaneous Facial Action Units
 Yongqiang Li1, S. Mohammad Mavadati2, Mohammad H. Mahoor and Qiang Ji
@@ -41406,14 +35314,6 @@ Sunnyvale, CA 94089, USA
 LUO ET AL.: ORINET: A FULLY CONVOLUTIONAL NETWORK FOR 3D HUMAN POSE
 OriNet: A Fully Convolutional Network for 3D
 Human Pose Estimation"

-6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,"International Journal of Advanced Science and Technology
-Vol.62, (2014), pp.65-96
-http://dx.doi.org/10.14257/ijast.2014.62.06
-Review on Histopathological Slide Analysis using Digital Microscopy
-Sangita Bhattacharjee1, Jashojit Mukherjee1, Sanjay Nag1, Indra Kanta Maitra2 and
-Samir K. Bandyopadhyay1
-Department of Computer Science and Engineering, University of Calcutta, India
-B. P. Poddar Institute of Management and Technology, Kolkata, India"

 6f08885b980049be95a991f6213ee49bbf05c48d,Author ' s personal copy Multi-Kernel Appearance Model ☆,"This article appeared in a journal published by Elsevier. The attached
 opy is furnished to the author for internal non-commercial research
 nd education use, including for instruction at the authors institution
@@ -41531,9 +35431,6 @@ uma complexidade computacional maior que os demais m´etodos,
 podemos utiliz´a-lo em aplicac¸ ˜oes off-line.
 Palavras-Chave— Reconhecimento de Padr˜oes, landmarks faci-
 is, M´aquina de Vetor Suporte."

-486a82f50835ea888fbc5c6babf3cf8e8b9807bc,Face Search at Scale: 80 Million Gallery,"MSU TECHNICAL REPORT MSU-CSE-15-11, JULY 24, 2015
-Face Search at Scale: 80 Million Gallery
-Dayong Wang, Member, IEEE, Charles Otto, Student Member, IEEE, Anil K. Jain, Fellow, IEEE"

 48ac5466c5d0c90fa2c6c38c51c22627f966d687,Real Time People Detection Combining Appearance and Depth Image Spaces Using Boosted Random Ferns,"Real Time People Detection Combining
 Appearance and Depth Image Spaces using
 Boosted Random Ferns
@@ -41568,36 +35465,6 @@ France"
 489decd84645b77d31001d17a66abb92bb96c731,Learning View-Specific Deep Networks for Person Re-Identification,"Learning View-Specific Deep Networks for Person
 Re-Identification
 Zhanxiang Feng, Jianhuang Lai, and Xiaohua Xie"

-48a442646483d9777a2c5864a8e5f6d1a4851396,Kickstarting the Commons: The YFCC100M and the YLI Corpora,"Kickstarting the Commons:
-The YFCC100M and the YLI Corpora
-Julia Bernd1, Damian Borth2, Carmen Carrano3, Jaeyoung Choi1, Benjamin Elizalde1,
-Gerald Friedland1, Luke Gottlieb1, Karl Ni3, Roger Pearce3, Doug Poland3, Khalid Ashraf4,
-David A. Shamma5, and Bart Thomee5
-International Computer Science Institute, Berkeley, CA, USA
-German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
-Lawrence Livermore National Laboratory, Livermore, CA, USA
-University of California–Berkeley, CA, USA
-5 Yahoo Labs, San Francisco, CA, USA"

-4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,"Finding Egocentric Image Topics through Convolutional Neural Network Based Representations
-Kai Zhen, David Crandall
-School of Informatics and Computing, Indiana University.
-Life-logging cameras create huge collections of photos, even for a single
-person on a single day [1, 6], which makes it difficult for users to browse
-or organize their photos effectively. Unlike text corpora in which words
-reate intermediate representations that carry semantic meaning for higher-
-level concepts such as topics, images have no such obvious intermediate
-representation to connect raw pixels and semantics. Egocentric photos are
-particularly challenging because they were taken opportunistically, so they
-re often blurry and poorly-composed compared to consumer-style images.
-This paper applies topic modeling on deep features to extract visual
-“concept clusters” from egocentric datasets. We discretize features to form
-better analogy to the word-document model, which we find yields faster
-onvergence during inference. We also find that removing frequent, less in-
-formative features helps to prevent outliers and improve the semantic mean-
-ing of extracted topics, analogous to removing stop words in the text mining
-domain. In a generative process similar to that proposed in LDA [2], we
-model an image as being generated by first choosing topics, and then sam-
-pling features (visual words) from selected topics,"

 48b38d157272f03f6b44c0df61130534d11d8569,Natural Language Guided Visual Relationship Detection,"oard)(person-behind-kid)(skate board-on-street)(person-sit on-street)...ImageVisual relationshipsFigure1:Visualrelationshipsrepresenttheinteractionsbe-tweenobservedobjects.Eachrelationshiphasthreeele-ments:subject,predicateandobject.HereisanexampleimagefromVisualGenome[17].Ourproposedmethodisabletoeffectivelydetectnumerouskindsofdifferentrela-tionshipsfromsuchimage.objectsinimages.Therelationshipscanberepresentedinatripletformofhsubject-predicate-objecti,e.g.,hkid-on-skateboardi,asshowninFig.1.Anaturalapproachforthistaskistotreatitasaclassificationproblem:eachkindofrelationships/phraseisarelationcategory[32],asshowninFig.2.Totrainsuchreliableandrobustmodel,suffi-cienttrainingsamplesforeachpossiblehsubject-predicate-objecticombinationareessential.ConsidertheVisualRe-lationshipDataset(VRD)[24],withN=100objectcate-goriesandK=70predicates,thenthereareN2K=700kcombinationsintotal.However,itcontainsonly38kre-lationships,whichmeansthateachcombinationhaslessthan1sampleonaverage.Thepreviousclassification-basedworkscanonlydetectthemostcommonrelationships,e.g.,[32]studiedonly13frequentrelationships.Anotherpopularstrategyistodetecttherelationshippredicatesandtheobjectcategoriesindependently.Al-thoughthenumberofcategoriesdecreasesdramatically,thesemanticrelationshipbetweentheobjectsandthepredi-catesareignored.Consequently,thephrasewhichhasthesamepredicatebutdifferentagentsisconsideredasthesametypeofrelationship.Forinstance,the”clock-on-1"

 483f85e1ebef9d10a951b3c01751892aca92a2c2,Adaptive Classification for Person Re-identification Driven by Change Detection,"Adaptive Classification for Person Re-Identification Driven by Change
 Detection
@@ -41644,12 +35511,6 @@ optimization problem to solve (i.e., the objective function f ). Here, we introd
 of “regularization,” with the goal of avoiding overfitting the function learned to the data set
 t hand, even for very high-dimensional data.
 Recap"

-488e475eeb3bb39a145f23ede197cd3620f1d98a,Pedestrian Attribute Classification in Surveillance: Database and Evaluation,"Pedestrian Attribute Classification in Surveillance: Database and Evaluation
-Jianqing Zhu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li∗
-Center for Biometrics and Security Research & National Laboratory of Pattern Recognition
-Institute of Automation, Chinese Academy of Sciences (CASIA)
-95 Zhongguancun East Road, 100190, Beijing, China
-{jqzhu, scliao, zlei, dyi,"

 48d299fe3303c80f840816fc76971a42b4a8b624,Predicting Important Objects for Egocentric Video Summarization,"http://dx.doi.org/10.1007/s11263-014-0794-5
 Predicting Important Objects for Egocentric Video Summarization
 Yong Jae Lee · Kristen Grauman
@@ -41666,26 +35527,10 @@ Xiao Lin
 Virginia Tech
 Devi Parikh
 Georgia Tech"

-482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,"International Journal of Computer Applications (0975 – 8887)
-Volume 46– No.6, May 2012
-Robust Face Detection using Fusion of Haar and
-Daubechies Orthogonal Wavelet Template
-Chirag I Patel
-Sanjay Garg
-Research scholar, Institute of Technology,
-Professor, Institute of Technology,
-Nirma University, Ahmedabad, Gujarat, India
-Nirma University, Ahmedabad, Gujarat, India"

 485e0d178bafa959ac956aa8de6556a2439c6663,Learning from Examples to Generalize over Pose and Illumination,"Learning from Examples to Generalize over Pose
 nd Illumination
 Marco K. M¨uller and Rolf P. W¨urtz
 Institute f¨ur Neural Computation, Ruhr-University, 44780 Bochum, Germany"

-48bf7357723abf7770400d68f914d6a7ca5a1a5f,Real-Time Head Pose Tracking with Online Face Template Reconstruction,"Real-Time Head Pose Tracking with Online
-Face Template Reconstruction
-Songnan Li, Member, IEEE,
-King Ngi Ngan, Fellow, IEEE,
-Raveendran Paramesran, Senior Member, IEEE,
-nd Lu Sheng"

 48499deeaa1e31ac22c901d115b8b9867f89f952,Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition,"Interim Report of Final Year Project
 HKU-Face: A Large Scale Dataset for
 Deep Face Recognition
@@ -41718,10 +35563,6 @@ Anonymous Author(s)
 Affiliation
 Address
 email"

-486e5c2996726ec0f7c37077a2752dc4bd8c1413,Linearized Smooth Additive Classifiers,"Linearized Smooth Additive Classifiers
-Subhransu Maji
-Toyota Technological Institute at Chicago,
-Chicago, IL 60637, USA"

 484c2617471fd742c4806f9281e5add45c6831a7,LSTM Self-Supervision for Detailed Behavior Analysis,"LSTM Self-Supervision for Detailed Behavior Analysis
 Biagio Brattoli1∗, Uta B¨uchler1∗, Anna-Sophia Wahl2, Martin E. Schwab2, Bj¨orn Ommer1
 HCI / IWR, Heidelberg University, Germany
@@ -41755,26 +35596,6 @@ Conversations in Typically Developed Adults
 Masashi Suda, Yuichi Takei, Yoshiyuki Aoyama, Kosuke Narita, Noriko Sakurai, Masato Fukuda*,
 Masahiko Mikuni
 Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan"

-48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,"Non Binary Local Gradient Contours for Face Recognition
-Abdullah Gubbia, Mohammad Fazle Azeemb, M Sharmila Kumaric
-Department of Electronics and Communication, P.A. College of Engnineering, Mangalore,
-Nadupadavu, Mangalore, India, Contact:
-Senior IEEE Member, Department of Electrical and Electronics Engineering, Aligarh Muslim
-University, India, Contact:
-Department of Computer Science and Engineering, P A College of Engineering, Nadupadavu,
-Mangalore, India. Contact:
-As the features from the traditional Local Binary patterns (LBP) and Local Directional Patterns (LDP) are
-found to be ineffective for face recognition, we have proposed a new approach derived on the basis of Information
-sets whereby the loss of information that occurs during the binarization is eliminated. The information sets
-s a product. Since face is having smooth texture in a limited area, the extracted features must be highly
-discernible. To limit the number of features, we consider only the non overlapping windows. By the application
-of the information set theory we can reduce the number of feature of an image. The derived features are shown
-to work fairly well over eigenface, fisherface and LBP methods.
-Keywords: Local Binary Pattern, Local Directional Pattern, Information Sets, Gradient Contour, Support
-Vector Machine, KNN, Face Recognition.
-. INTRODUCTION
-In face recognition, the major issue to be ad-
-dressed is the extraction of features which are"

 48bc87ccc6b6e2d318f91d5f1886432806fec553,Multiaccuracy: Black-Box Post-Processing for Fairness in Classification,"Multiaccuracy: Black-Box Post-Processing for Fairness in
 Michael P. Kim∗†
 Classification
@@ -41840,18 +35661,6 @@ l’Exposici(cid:19)o, 59-69, 08800 Vilanova i la Geltru, Spain
 Dept. Mathematics, Universitat de Barcelona, Gran Via de les Corts Catalanes
 Computer Vision Center, Campus UAB, Edi(cid:12)ci 0, 08193, Bellaterra, Spain
 585, 08007, Barcelona, Spain"

-f496235629c02c98ad83b37d3d054ccfd0de0131,Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch,"Learning Cross-Modal Deep Embeddings for
-Multi-Object Image Retrieval using Text and Sketch
-Sounak Dey, Anjan Dutta, Suman K. Ghosh, Ernest Valveny, Josep Llad´os
-Computer Vision Center, Computer Science Department
-Autonomous University of Barcelona
-Email: {sdey, adutta, sghosh, ernest,
-Barcelona, Spain
-Umapada Pal
-CVPR Unit
-Indian Statistical Institute
-Kolkata, India
-Email:"

 f4ce7c36586c27783a1b0e737c2834f39f9d029d,Advanced non linear dimensionality reduction methods for multidimensional time series : applications to human motion analysis,"Advanced Nonlinear
 Dimensionality Reduction
 Methods for Multidimensional
@@ -41898,17 +35707,6 @@ Optical-Flow Estimation in the Wild
 Nima Sedaghat
 University of Freiburg
 Germany"

-f4afc9ebafce950b81081e25efc2d8f5fb1f17e7,Tag-aware image classification via Nested Deep Belief nets,"TAG-AWARE IMAGE CLASSIFICATION VIA NESTED DEEP BELIEF NETS
-Zhaoquan Yuan1,2,  Jitao
-Sang1,2, Changsheng Xu1,2
-National Lab of Pattern Recognition,
-China-Singapore
-Institute
-of Automation,
-CAS, Beijing 100190, China
-Institute
-of Digital Media, Singapore
-{zqyuan, jtsang,"

 f43b60a33c585827bfa354d3d49fb148a1c26c3f,Identifying Well-formed Natural Language Questions,"Identifying Well-formed Natural Language Questions
 Manaal Faruqui Dipanjan Das
 Google AI Language"

@@ -41925,43 +35723,6 @@ Ludwig Schmidt
 Vaishaal Shankar
 UC Berkeley
 June 4, 2018"

-f44f13a8245bed66fff16a50d6ecc6d56151029d,Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion,"Sensors 2014, 14, 6666-6676; doi:10.3390/s140406666
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Article
-Thermal-Infrared Pedestrian ROI Extraction through Thermal
-nd Motion Information Fusion
-Antonio Fernández-Caballero 1,2,*, María T. López 1,2 and Juan Serrano-Cuerda 2
-Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071-Albacete,
-Spain; E-Mail:
-Instituto de Investigación en Informática de Albacete, 02071-Albacete, Spain;
-E-Mail:
-*  Author to whom correspondence should be addressed; E-Mail:
-Tel.: +34-967-599-200; Fax: +34-967-599-224.
-Received: 14 March 2014; in revised form: 2 April 2014 / Accepted: 4 April 2014 /
-Published: 10 April 2014"

-f4b729d218139f1e93cc9d4df05fbf699d2e9d07,Introduction to the Special Issue on Recent Advances in Biometric Systems,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 37, NO. 5, OCTOBER 2007
-Guest Editorial
-Introduction to the Special Issue on Recent
-Advances in Biometric Systems
-W E ARE pleased to present 14 papers in this special
-issue devoted to recent advances in biometric systems.
-A total of 78 papers were submitted for consideration for the
-special issue. Those that appear in this special issue result from
-careful review process and consideration of timing for the
-special issue. Other papers, which were originally submitted for
-onsideration for the special issue, may be undergoing major
-revisions and resubmission and appear at a later time in a
-regular issue of this journal or possibly in some other journal.
-In particular, several submissions in the area of iris biometrics
-ould not be considered for this special issue due to their
-experimental results being based primarily on the CASIA 1
-iris image dataset [1].
-Papers on a broad variety of topics were submitted to the
-special issue. The large active areas of biometrics such as face,
-fingerprint, voice, signature, and iris were naturally well repre-"

 f4808e78bc648f9e1829c83a68a3e8ed4e7cf325,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
 {tag}                                                 {/tag}
 International Journal of Computer Applications
@@ -41977,9 +35738,6 @@ f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d,A Dual-Source Approach for 3D Human Pos
 A Dual-Source Approach for 3D Human Pose
 Estimation from a Single Image
 Umar Iqbal*, Andreas Doering*, Hashim Yasin, Björn Krüger, Andreas Weber, and Juergen Gall"

-f43463770d361e55fb6f6eb801a6e8530ab668cd,Corpus Construction and Semantic Analysis of Indonesian Image Description,"The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages
-9-31 August 2018, Gurugram, India
-0.21437/SLTU.2018-9"

 f44af3b10a67fe62fd26eb82dd228a3cdeb980e1,"Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures","Understand, Compose and Respond
 Understand, Compose and Respond - Answering Visual"

 f49f1028052baa1588376a78a9dc64812748555e,Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot,"JOURNAL OF LATEX CLASS FILES
@@ -42018,26 +35776,6 @@ Guest Editors: Christophe Garcia, Jörn Ostermann, and Tim Cootes"
 Classification for Face Recognition with Insufficient
 Labeled Samples
 Yuan Gao, Jiayi Ma, and Alan L. Yuille Fellow, IEEE"

-0a6c36de8726b6feaab586046ddc1d1a008f44f9,Filtered channel features for pedestrian detection,"Filtered Channel Features for Pedestrian Detection
-Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
-MPI Informatics, Saarbrücken, Germany
-Figure 1: Integral channel feature detectors pool features via sums over rect-
-ngular regions. We can equivalently re-write this operation as convolution
-with a filter bank followed by single pixel reads. We aim to answer: What
-is the effect of selecting different filter banks?
-Pedestrian detection is an active research area, with 1000+ papers pub-
-lished in the last decade, and well established benchmark datasets. It is con-
-sidered a canonical case of object detection, and has served as playground
-to explore ideas that might be effective for generic object detection. Al-
-though many different ideas have been explored, and detection quality has
-een steadily improving [2], arguably it is still unclear how effective parts,
-omponents, and features learning are for this task.
-Current top performing pedestrian detection methods all point to an in-
-termediate layer (such as max-pooling or filtering) between the low-level
-feature maps and the classification layer [5, 6, 7]. In this paper we explore
-the simplest of such intermediary: a linear transformation implemented as
-onvolution with a filter bank. We propose a framework for filtered chan-
-nel features (see figure 1) that unifies multiple top performing methods"

 0a60e76e6983e1647469172a50907023913b0c9f,Longitudinal study of amygdala volume and joint attention in 2- to 4-year-old children with autism.,"ORIGINAL ARTICLE
 Longitudinal Study of Amygdala Volume and Joint
 Attention in 2- to 4-Year-Old Children With Autism
@@ -42058,31 +35796,7 @@ Participants: Fifty autistic and 33 control (11 devel-
 opmentally delayed, 22 typically developing) children be-
 tween 18 and 35 months (2 years) of age followed up at
 2 to 59 months (4 years) of age."

-0a60d9d62620e4f9bb3596ab7bb37afef0a90a4f,Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates,"Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR 2016
-(cid:13) Copyright by Springer. The final publication will be available at link.springer.com
-A. Freytag, E. Rodner, M. Simon, A. Loos, H. K¨uhl and J. Denzler
-Chimpanzee Faces in the Wild:
-Log-Euclidean CNNs for Predicting Identities
-nd Attributes of Primates
-Alexander Freytag1,2, Erik Rodner1,2, Marcel Simon1, Alexander Loos3,
-Hjalmar S. K¨uhl4,5, and Joachim Denzler1,2,5
-Computer Vision Group, Friedrich Schiller University Jena, Germany
-Michael Stifel Center Jena, Germany
-Fraunhofer Institute for Digital Media Technology, Germany
-Max Planck Institute for Evolutionary Anthropology, Germany
-5German Centre for Integrative Biodiversity Research (iDiv), Germany"

 0a3051c8dde80975640d42dca21fac17ed60f987,A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring,

-0a4ba4d5bd6e07a31fa4586322fd5e07d9f9975e,Online Bayesian Nonparametrics for Group Detection,"ZANOTTO, BAZZANI, CRISTANI, MURINO: ONLINE BNP FOR GROUP DETECTION
-Online Bayesian Nonparametrics for Group
-Detection
-Matteo Zanotto
-Loris Bazzani
-Marco Cristani
-Vittorio Murino
-Pattern Analysis & Computer Vision
-Istituto Italiano di Tecnologia
-Via Morego 30 - 16163
-Genova, Italy"

 0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a,Neural Networks Regularization Through Representation Learning,"THÈSEPour obtenir le diplôme de doctorat Spécialité Informatique Préparée au sein de « l'INSA Rouen Normandie » Présentée et soutenue parSoufiane BELHARBIThèse dirigée par Sébastien ADAM, laboratoire LITIS Neural Networks Regularization Through Representation LearningThèse soutenue publiquement le 06 Juillet 2018 devant le jury composé deSébastien ADAMProfesseur à l'Université de Rouen NormandieDirecteur de thèseClément CHATELAINMaître de conférence à l'INSA  Rouen NormandieEncadrant de thèseRomain HÉRAULTMaître de conférence à l'INSA  Rouen NormandieEncadrant de thèseElisa FROMONTProfesseur à l'Université de Rennes 1Rapporteur de thèseThierry ARTIÈRESProfesseur à l'École Centrale MarseilleRapporteur de thèseJohn LEEProfesseur à l'Université Catholique de LouvainExaminateur de thèseDavid PICARDMaître de conférences à l'École Nationale Supérieure de l'Électronique et de ses ApplicationsExaminateur de thèseFrédéric JURIEProfesseur à l' Université de Caen NormandieInvité"

 0a1e3d271fefd506b3a601bd1c812a9842385829,Face Recognition Using 3D Directional Corner Points,"Face Recognition using 3D Directional Corner Points
 Author
@@ -42174,19 +35888,6 @@ A Review Paper on Face Recognition Techniques
 Sujata G. Bhele1 and V. H. Mankar2
 in  real
 interesting  area"

-0a391c4d7aafa73324549f212cf28640ed471a81,From Caregivers to Peers: Puberty Shapes Human Face Perception.,"663142 PSSXXX10.1177/0956797616663142Picci, ScherfPuberty Shapes Human Face Perception
-research-article2016
-Research Article
-From Caregivers to Peers: Puberty
-Shapes Human Face Perception
-Giorgia Picci and K. Suzanne Scherf
-Department of Psychology, Pennsylvania State University
-1 –13
-© The Author(s) 2016
-Reprints and permissions:
-sagepub.com/journalsPermissions.nav
-DOI: 10.1177/0956797616663142
-pss.sagepub.com"

 0a8ab703839ae585c2f27099616c40974cbeeda2,"Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs","Fast, Exact and Multi-Scale Inference for Semantic
 Image Segmentation with Deep Gaussian CRFs
 Siddhartha Chandra
@@ -42203,24 +35904,11 @@ Mauricio Villegas and Roberto Paredes
 Institut Tecnol`ogic d’Inform`atica
 Universitat Polit`ecnica de Val`encia
 Cam´ı de Vera s/n, 46022 Val`encia, Spain"

-0adb5923fb1955f7ca0a85454afe17e5d25425df,Crowd motion monitoring using tracklet-based commotion measure,"CROWD MOTION MONITORING USING TRACKLET-BASED COMMOTION MEASURE
-Hossein Mousavi*
-Moin Nabi* Hamed Kiani
-Alessandro Perina
-Vittorio Murino
-Pattern Analysis and Computer Vision Department (PAVIS)
-Istituto Italiano di Tecnologia
-Genova, Italy"

 0a40415bdfe4bc9ef7e019e4f1442a9fb61f58b2,Automatic Discovery and Geotagging of Objects from Street View Imagery,"Automatic Discovery and Geotagging of Objects from Street View Imagery
 Vladimir A. Krylov
 Eamonn Kenny
 Rozenn Dahyot
 ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland"

-0a2aca07c9e15de3d5924e156af9a8e1a67b4cab,Person Reidentification With Reference Descriptor,"Person Reidentification With Reference Descriptor
-Le An, Member, IEEE, Mehran Kafai, Member, IEEE, Songfan Yang, Member, IEEE,
-nd Bir Bhanu, Fellow, IEEE
-cross
-identification"

 0a6a173a1d1d36285bae97f98f4b901067d40097,Similarity learning on an explicit polynomial kernel feature map for person re-identification,"Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person
 Re-Identification
 Dapeng Chen y, Zejian Yuan y, Gang Huaz, Nanning Zhengy, Jingdong Wang x
@@ -42302,20 +35990,6 @@ for person re-identification in camera networks
 Zhong Zhang1,2* and Meiyan Huang1,2"

 0a8c6b40d6ca75bc1995083825e362137b130624,Nonparametric Method for Data-driven Image Captioning,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 592–598,
 Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics"

-0a1138276c52c734b67b30de0bf3f76b0351f097,Discriminant Incoherent Component Analysis,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.
-The final version of record is available at
-http://dx.doi.org/10.1109/TIP.2016.2539502
-Discriminant Incoherent Component Analysis
-Christos Georgakis, Student Member, IEEE, Yannis Panagakis, Member, IEEE, and Maja Pantic, Fellow, IEEE"

-0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,"Quality-based Multimodal Classification Using Tree-Structured Sparsity
-Soheil Bahrampour
-Asok Ray
-Pennsylvania State University
-Pennsylvania State University
-Nasser M. Nasrabadi
-Army Research Laboratory
-Kenneth W. Jenkins
-Pennsylvania State University"

 0a87d781fe2ae2e700237ddd00314dbc10b1429c,"Distribution Statement "" A "" ( Approved for public release , Distribution Unlimited ) Working Paper An Artificial Intelligence / Machine Learning Perspective on Social Simulation New Data and New Challenges","Distribution Statement A:  Approved for public release; distribution unlimited.
 Multi-scale HOG Prescreening Algorithm for Detection of Buried
 Explosive Hazards in FL-IR and FL-GPR Data
@@ -42341,16 +36015,6 @@ Department of Computer Science
 Federal university of Ouro Preto
 Ouro Preto, Brazil
 Email:"

-0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,"Toward Wide-Angle Microvision Sensors
-Sanjeev J. Koppal, Member, IEEE, Ioannis Gkioulekas, Student Member, IEEE,
-Travis Young, Member, IEEE, Hyunsung Park, Student Member, IEEE,
-Kenneth B. Crozier, Member, IEEE, Geoffrey L. Barrows, Member, IEEE, and
-Todd Zickler, Member, IEEE"

-0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e,A Unified Semantic Embedding: Relating Taxonomies and Attributes,"A Unified Semantic Embedding:
-Relating Taxonomies and Attributes
-Sung Ju Hwang∗
-Disney Research
-Pittsburgh, PA"

 0a7a7b3f05918fb4fc33f04cb7e31232fa197f76,Fitting a Morphable Model to 3D Scans of Faces,"Fitting a Morphable Model to 3D Scans of Faces
 Volker Blanz
 Universit¤at Siegen,
@@ -42374,13 +36038,6 @@ Alp Guler1, Nikolaos Kardaris2, Siddhartha Chandra1, Vassilis Pitsikalis2, Chris
 Werner3, Klaus Hauer3, Costas Tzafestas2, Petros Maragos2, Iasonas Kokkinos1
 (1) INRIA GALEN & Centrale Sup´elec Paris,
 (2) National Technical University of Athens, (3) University of Heidelberg"

-0a058caa89d195930224148d3d2897c0c08fc668,Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning,"Metric Embedding Autoencoders for
-Unsupervised Cross-Dataset Transfer Learning
-Alexey Potapov1,3, Sergey Rodionov1,2, Hugo Latapie4, and Enzo Fenoglio4
-SingularityNET Foundation
-Novamente LLC
-ITMO University, St. Petersburg, Russia
-Chief Technology & Architecture Of‌f‌ice, Cisco"

 0a9d38f74095c6840540dabb00c754f4b0c2d131,Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph,"Multimodal Language Analysis in the Wild:
 CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
 Amir Zadeh1, Paul Pu Liang2, Jonathan Vanbriesen1, Soujanya Poria3,
@@ -42570,18 +36227,6 @@ This is the author’s personal copy of the final, accepted version of the paper
 the version published in Computer Graphics Form.
 Copyright © 2012 The Eurographics Association and Blackwell Publishing Ltd.
 Preprint"

-2643a611f10ce8acfef41e1e49d1be04d5d34190,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,"International Journal of Computer Applications (0975 – 8887)
-Volume 179 – No.21, February 2018
-Comparative Study of Diverse Face Recognition
-Approaches along with Intrinsic Worth and Recognition
-Shivang Shukla
-Department of Computer Science
-Medi-Caps Institute of Science and Technology
-Indore, Madhya Pradesh, India
-Sourabh Dave
-Department of Information Technology
-Medi-Caps Inst. Of Science and Technology
-Indore, Madhya Pradesh, India"

 26a72e9dd444d2861298d9df9df9f7d147186bcd,Collecting and annotating the large continuous action dataset,"DOI 10.1007/s00138-016-0768-4
 ORIGINAL PAPER
 Collecting and annotating the large continuous action dataset
@@ -42681,26 +36326,6 @@ Keywords: Artificial intelligence; Machine learning; Convolutional neural networ
 264a84f4d27cd4bca94270620907cffcb889075c,Deep motion features for visual tracking,"Deep Motion Features for Visual Tracking
 Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
 Computer Vision Laboratory, Department of Electrical Engineering, Link¨oping University, Sweden"

-26c884829897b3035702800937d4d15fef7010e4,Facial Expression Recognition by Supervised Independent Component Analysis Using MAP Estimation,"IEICE TRANS. INF. & SYST., VOL.Exx–??, NO.xx XXXX 200x
-PAPER
-Facial Expression Recognition by Supervised Independent
-Component Analysis using MAP Estimation
-Fan CHEN
-, Nonmember and Kazunori KOTANI
-, Member
-SUMMARY Permutation ambiguity of the classical Inde-
-pendent Component Analysis (ICA) may cause problems in fea-
-ture extraction for pattern classification. Especially when only a
-small subset of components is derived from data, these compo-
-nents may not be most distinctive for classification, because ICA
-is an unsupervised method. We include a selective prior for de-
-mixing coef‌f‌icients into the classical ICA to alleviate the problem.
-Since the prior is constructed upon the classification information
-from the training data, we refer to the proposed ICA model with
-selective prior as a supervised ICA (sICA). We formulated the
-learning rule for sICA by taking a Maximum a Posteriori (MAP)
-scheme and further derived a fixed point algorithm for learning
-the de-mixing matrix. We investigate the performance of sICA"

 26d52680d610a2a19483e5fe9bb1421cc26207e6,An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition,"An Asynchronous  Hidden  Markov  Model
 for  Audio-Visual  Speech Recognition
 Samy Bengio
@@ -42712,10 +36337,6 @@ Douwe Kiela
 Facebook AI Research
 Allan Jabri1
 UC Berkeley"

-26c89f890da91119ffa16d5a23fba963257ef3fc,Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning,"Tattoo Image Search at Scale: Joint Detection
-nd Compact Representation Learning
-Hu Han, Member, IEEE, Jie Li, Anil K. Jain, Fellow, IEEE,
-Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE"

 26c7eda262dfda1c3a3597a3bf1f2f1cc4013425,Some Like It Hot — Visual Guidance for Preference Prediction,"Some like it hot - visual guidance for preference prediction
 Rasmus Rothe
 CVL, ETH Zurich
@@ -42723,10 +36344,6 @@ Radu Timofte
 CVL, ETH Zurich
 Luc Van Gool
 KU Leuven, ETH Zurich"

-267bb08aa4eeefa1ef653716ca0ab572748a3a4e,Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System,"Vision-based Real-Time Aerial Object Localization
-nd Tracking for UAV Sensing System
-Yuanwei Wu, Student Member,
-IEEE, Yao Sui, Member, IEEE, and Guanghui Wang, Member, IEEE"

 26e570049aaedcfa420fc8c7b761bc70a195657c,Hybrid Facial Regions Extraction for Micro-expression Recognition System,"J Sign Process Syst
 DOI 10.1007/s11265-017-1276-0
 Hybrid Facial Regions Extraction for Micro-expression
@@ -42793,26 +36410,6 @@ Richard Moore
 Mat Cook
 Alex Kipman
 Microsoft Research Cambridge & Xbox Incubation"

-15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,"010 Sixth International
-Conference
-on Information
-Assurance
-nd Security
-Automatic
-semantic annotation
-of images based on Web data
-Guiguang Ding
-School of Software
-University
-of Tsinghua
-Beijing,
-China
-edu.cn
-School of Software
-University
-Beijing,
-China
-of Tsinghua"

 15f57134b42638cbd57d0d8c4437e8b6b6a8bac4,Learning Visual Reasoning Without Strong Priors,"Learning Visual Reasoning Without Strong Priors
 Ethan Perez12, Harm de Vries1, Florian Strub3,
 Vincent Dumoulin1, Aaron Courville14
@@ -42841,18 +36438,6 @@ Jose Oramas M., Tinne Tuytelaars
 KU Leuven, ESAT-PSI, iMinds"

 15e6e1551ce9a4094c57db70985e420e57c6997a,Asymmetric cross-view dictionary learning for person re-identification,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"

-1548cea1fa9be7a23d4d1e38086336913d501e44,Semantic 3 D Reconstruction of Heads Supplementary Material,"Semantic 3D Reconstruction of Heads
-Supplementary Material
-Fabio Maninchedda1, Christian H¨ane2,(cid:63), Bastien Jacquet3,(cid:63),
-Ama¨el Delaunoy(cid:63), Marc Pollefeys1,4
-ETH Zurich
-UC Berkeley
-Kitware SAS
-Microsoft
-Fig. 1: From left to right: Input image; Input labels and depth; Depth map fusion
-(TV-Flux fusion from [9]); Statistical model of [7] fitted into our raw input data;
-Our semantic reconstruction; Our result skin class only; Our model textured.
-(cid:63) Work done while authors were at the Department of Computer Science, ETH Z¨urich"

 155033f2f096934042d659d10912ef29aa1cdbd1,Visual classification of coarse vehicle orientation using Histogram of Oriented Gradients features,"Visual Classification of Coarse Vehicle Orientation
 using Histogram of Oriented Gradients Features
 Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman"

@@ -42894,11 +36479,6 @@ of the requirements for the degree of
 Doctor of Philosophy
 BOSTON
 UNIVERSITY"

-15df73918e084a146cd215b839a3eec1cc813a78,Projection Peak Analysis for Rapid Eye Localization,"PROJECTION PEAK ANALYSIS FOR RAPID EYE LOCALIZATION
-Research Center of Intelligent Robotics, Shanghai Jiaotong University, Shanghai, 200240, China
-Jingwen Dai, Dan Liu and Jianbo Su
-Keywords:
-Eye localization, Threshold, Segmentation, Projection peak."

 15292f380f5996f539f4d5e93dba3082d53338fb,Feature Space Optimization for Semantic Video Segmentation,"Feature Space Optimization for Semantic Video Segmentation
 Abhijit Kundu∗
 Georgia Tech
@@ -42908,16 +36488,6 @@ Intel Labs
 Intel Labs
 Figure 1. Semantic video segmentation on the Cityscapes dataset [6]. Input frame on the left, semantic segmentation computed by our
 pproach on the right."

-156b194d0cee545337524bd993ae640ed227b79e,RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT ANALYSIS BASED 3 D FACE RECOGNITION USING KNN AND SVM,"ISSN   2320 - 2602
-Volume 2, No.12, December 2013
-P. S. Hiremath et al., International Journal of  Advances in Computer Science and Technology, 2(12), December 2013, 267-274
-International Journal of  Advances in Computer Science and Technology
-Available Online at http://warse.org/pdfs/2013/ijacst022122013.pdf
-RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT
-ANALYSIS BASED 3D FACE RECOGNITION USING KNN AND SVM
-P. S. Hiremath, Manjunatha Hiremath1
-Department of Computer Science,
-Gulbarga University, Gulbarga, Karnataka, India"

 159b52158512481df7684c341401efbdbc5d8f02,Object Detection with Active Sample Harvesting,"Object Detection
 with Active Sample Harvesting
 Thèse no 7312
@@ -42984,10 +36554,6 @@ data points; b) Apply spectral clustering on the affinity matrix to recover
 the data segmentation. Dividing the problem in two steps is, on the one
 hand, appealing because the first step can be solved using convex optimiza-"

 15728d6fd5c9fc20b40364b733228caf63558c31,EXPANDING THE BREADTH AND DETAIL OF OBJECT RECOGNITION,(cid:13) 2013 Ian N. Endres

-15f70a0ad8903017250927595ae2096d8b263090,Learning Robust Deep Face Representation,"Learning Robust Deep Face Representation
-University of Science and Technology Beijing
-Xiang Wu
-Beijing, China"

 15383ae2d86eb8c5e172168f94ef915a7a238b72,Learning Semantic Prediction using Pretrained Deep Feedforward Networks,"Learning Semantic Prediction using
 Pretrained Deep Feedforward Networks
 J¨org Wagner1,2, Volker Fischer1, Michael Herman1 and Sven Behnke2
@@ -43038,46 +36604,6 @@ The OU-ISIR Gait Database comprising the
 Large Population Dataset with Age and
 performance evaluation of age estimation
 Chi Xu1,2, Yasushi Makihara2*, Gakuto Ogi2, Xiang Li1,2, Yasushi Yagi2 and Jianfeng Lu1"

-1542b8a1805d73a755d4b2eb402c5c861e6acd02,PMCTrack: Delivering Performance Monitoring Counter Support to the OS Scheduler,"PMCTrack: Delivering performance
-monitoring counter support to the OS
-scheduler
-J. C. Saez1, A. Pousa2, R. Rodr´ıguez-Rodr´ıguez1, F. Castro1,
-M. Prieto-Matias1
-ArTeCS Group, Facultad de Inform´atica, Complutense University of Madrid
-III-LIDI, Facultad de Inform´atica, National University of La Plata
-Email:
-Hardware performance monitoring counters (PMCs) have proven effective in
-haracterizing application performance. Because PMCs can only be accessed
-directly at the OS privilege level, kernel-level tools must be developed to enable
-the end user and userspace programs to access PMCs. A large body of work
-has demonstrated that the OS can perform effective runtime optimizations in
-multicore systems by leveraging performance-counter data. Special attention has
-een paid to optimizations in the OS scheduler. While existing performance
-monitoring tools greatly simplify the collection of PMC application data from
-userspace, they do not provide an architecture-agnostic kernel-level mechanism
-that is capable of exposing high-level PMC metrics to OS components, such as
-the scheduler. As a result, the implementation of PMC-based OS scheduling
-schemes is typically tied to specific processor models."

-15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,"International Journal of Computer Applications (0975 – 8887)
-Volume 77 – No.5, September 2013
-Facial Expression Recognition using Neural Network with
-Regularized Back-propagation Algorithm
-Ashish Kumar Dogra
-Research Scholar
-Department of ECE,
-Lovely Professional University,
-Phagwara, India
-Nikesh Bajaj
-Assistant Professor
-Department of ECE,
-Lovely Professional University,
-Phagwara, India
-Harish Kumar Dogra
-Research Scholar
-Department of ECE,
-Gyan Ganga Institute of
-Technology & Sciences,
-Jabalpur, India"

 159b87e6e68b18f4daa3505bfc415be9b21a7db6,Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding,

 150326137da214210b46e0b7f22e30f7e6529006,Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second,"Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second
 Floris De Smedt∗, Kristof Van Beeck∗, Tinne Tuytelaars and Toon Goedem´e
@@ -43120,19 +36646,8 @@ Zürich, Switzerland"
 15cf11ddfc046b2ed2766c375e8ad067baaf8347,Active Pedestrian Safety by Automatic Braking and Evasive Steering,"Active Pedestrian Safety
 y Automatic Braking and Evasive Steering
 C. Keller, T. Dang, H. Fritz, A. Joos, C. Rabe and D. M. Gavrila"

-157d2c6dd8c9999b251099ef4211cff8030ae486,Invariance properties of Gabor filter-based features-overview and applications,"Invariance Properties of Gabor Filter Based
-Features – Overview and Applications
-Joni-Kristian Kamarainen∗, Ville Kyrki, Member, IEEE, Heikki K¨alvi¨ainen, Member, IEEE"

 15696370ff33b6e5a81bf5131d80065d6e59804f,Semantically guided location recognition for outdoors scenes,"Semantically Guided Location Recognition for Outdoors Scenes
 Arsalan Mousavian and Jana Koˇseck´a and Jyh-Ming Lien"

-1536579229a334640735725e0b886f8d03aca1e8,Rank of Experts: Detection Network Ensemble,"Rank of Experts: Detection Network Ensemble
-Seung-Hwan Bae1, Youngwan Lee2, Youngjoo Jo2, Yuseok Bae2, Joong-won Hwang2
-Computer Vision Laboratory, Incheon National University, South Korea
-Electronics and Telecommunications Research Institute, Daejeon, South Korea"

-1553084dcbf2235428e7dbf57b57e567c5ea4d1f,AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale,"AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale
-Jiayu Du1, Xingyu Na1, Xuechen Liu1, Hui Bu2
-AISHELL foundation∗
-Beijing Shell Shell Technology Co. Ltd., Beijing, China"

 157eb982da8fe1da4c9e07b4d89f2e806ae4ceb6,Connecting the dots in multi-class classification: From nearest subspace to collaborative representation,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES
 http://www.merl.com
 Connecting the Dots in Multi-Class Classification: From
@@ -43310,23 +36825,6 @@ Non-Overlapping Cameras using Constrained
 Dominant Sets
 Yonatan Tariku Tesfaye*, Student Member, IEEE, Eyasu Zemene*, Student Member, IEEE,
 Andrea Prati, Senior member, IEEE, Marcello Pelillo, Fellow, IEEE, and Mubarak Shah, Fellow, IEEE"

-beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2,Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization,"RESEARCH PAPER
-International Journal of Recent Trends in Engineering Vol 1, No. 1, May 2009,
-Adaptive Histogram Equalization and Logarithm
-Transform with Rescaled Low Frequency DCT
-Coefficients for Illumination Normalization
-Virendra P. Vishwakarma, Sujata Pandey and M. N. Gupta
-Department of Computer Science and Engineering
-Amity School of Engineering Technology, 580, Bijwasan, New Delhi-110061, India
-(Affiliated to Guru Gobind Singh Indraprastha University, Delhi, India)
-Email:
-illumination  normalization.  The
-lighting  conditions.  Most  of  the"

-be993d793e393127e3fb34d27fda255894edaedc,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,"UnFlow: Unsupervised Learning of Optical Flow
-with a Bidirectional Census Loss
-Simon Meister, Junhwa Hur, Stefan Roth
-Department of Computer Science
-TU Darmstadt, Germany"

 be6f29e129a99529f7ed854384d1f4da04c4ca1f,Spatially Consistent Nearest Neighbor Representations for Fine-Grained Classification. (Représentations d'images basées sur un principe de voisins partagés pour la classification fine),"Spatially Consistent Nearest Neighbor Representations
 for Fine-Grained Classification
 Valentin Leveau
@@ -43369,11 +36867,6 @@ ment les uns des autres, alors qu’ils sont souvent liés.
 Ces relations sont parfois prises en compte, au moyen
 d’un schéma ascendant dépendant fortement de descrip-
 teurs bas-niveaux, induisant des relations non-pertinentes"

-be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,"FOR PERSONAL USE ONLY
-Constrained Low-rank Learning Using Least
-Squares Based Regularization
-Ping Li, Member, IEEE, Jun Yu, Member, IEEE, Meng Wang, Member, IEEE,
-Luming Zhang, Member, IEEE, Deng Cai, Member, IEEE, and Xuelong Li, Fellow, IEEE,"

 bebea83479a8e1988a7da32584e37bfc463d32d4,Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning,"Discovery of Latent 3D Keypoints via
 End-to-end Geometric Reasoning
 Supasorn Suwajanakorn∗ Noah Snavely
@@ -43449,10 +36942,6 @@ stefanos.kaxiras
 Alexandra Jimborean
 lexandra.jimborean
 Uppsala University"

-bea2c35ef78eb40df52e27cf4098f28a79bcbad5,TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,"TabletGaze: Unconstrained Appearance-based Gaze
-Estimation in Mobile Tablets
-Qiong Huang, Student Member, IEEE,, Ashok Veeraraghavan, Member, IEEE,,
-nd Ashutosh Sabharwal, Fellow, IEEE"

 be9dde86ebd10ecb05808e034e3cadd210fe0bfb,SLAMIT : A Sub-map based SLAM system On-line creation of multi-leveled map,"Master of Science Thesis in Electrical Engineering
 Department of Electrical Engineering, Linköping University, 2016
 SLAMIT: A Sub-map based
@@ -43539,14 +37028,6 @@ Michal Sindlar
 Cognitive Artificial Intelligence, Utrecht University, Heidelberglaan 6, 3584 CD, Utrecht
 Marco Wiering
 Intelligent Systems Group, Utrecht University, Padualaan 14, 3508 TB, Utrecht"

-be72b20247fb4dc4072d962ced77ed89aa40372f,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender
-nd Identity Recognition in Organizing Photo
-Albums using Multi-output CNN
-Andrey V. Savchenko
-Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of
-Mathematics
-National Research University Higher School of Economics
-Nizhny Novgorod, Russia"

 be437b53a376085b01ebd0f4c7c6c9e40a4b1a75,Face Recognition and Retrieval Using Cross Age Reference Coding,"ISSN (Online) 2321 – 2004
 ISSN (Print) 2321 – 5526
 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN ELECTRICAL, ELECTRONICS, INSTRUMENTATION AND CONTROL ENGINEERING
@@ -43568,16 +37049,6 @@ Detection with Loopy Graph Models
 Paper by
 T.-P. Tian and S. Sclaroff
 Slides by A. Vedaldi"

-1910f5f7ac81d4fcc30284e88dee3537887acdf3,Semantic Based Hypergraph Reranking Model for Web Image Search,"Volume 6, Issue 5, May 2016                                   ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-Semantic Based Hypergraph Reranking Model for Web
-Image Search
-Amol Darkunde, 2Manoj Jalan, 3Yelmar Mahesh, 4Shivadatta Shinde, 5Dnyanda Patil
-, 2, 3, 4 B. E.  Dept of CSE, 5 Asst. Prof. Dept of CSE
-, 2, 3, 4, 5 Dr.D.Y.Patil College of Engineering, Pune, Maharashtra, India"

 19359fb238888c0eb012a4ab5c6f0fa0e9be493b,Enhanced Facial Expression Recognition using 2DPCA Principal component Analysis and Gabor Wavelets,"Enhanced Facial Expression Recognition
 using 2DPCA Principal component Analysis
 nd Gabor Wavelets.
@@ -43606,10 +37077,6 @@ Andreas Ess1, Konrad Schindler1, Bastian Leibe1,2 and Luc van Gool1,3
 ETH Z¨urich
 KU Leuven, IBBT
 RWTH Aachen"

-199fdc3c0b73d9469d2e732c97e889bfc8bf8bff,"Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation","Multi-Class Constrained Normalized Cut With
-Hard, Soft, Unary and Pairwise Priors and Its
-Applications to Object Segmentation
-Han Hu, Jianjiang Feng, Member, IEEE, Chuan Yu, and Jie Zhou, Senior Member, IEEE"

 195d331c958f2da3431f37a344559f9bce09c0f7,Parsing occluded people by flexible compositions,"Parsing Occluded People by Flexible Compositions
 Xianjie Chen, Alan Yuille
 University of California, Los Angeles.
@@ -43682,10 +37149,6 @@ Tim K. Marks
 Mitsubishi Electric Research Labs
 Michael Jones
 Mitsubishi Electric Research Labs"

-1957956856dc04ebee5815bd62874687e2af7260,Joint Optical Flow and Temporally Consistent Semantic Segmentation,"Joint Optical Flow and Temporally Consistent
-Semantic Segmentation
-Junhwa Hur and Stefan Roth
-Department of Computer Science, TU Darmstadt"

 19296e129c70b332a8c0a67af8990f2f4d4f44d1,Is that you? Metric learning approaches for face identification,"Metric Learning Approaches for Face Identification
 Is that you?
 M. Guillaumin, J. Verbeek and C. Schmid
@@ -43761,10 +37224,6 @@ Downloaded from SPIE Digital Library on 22 Dec 2009 to 140.116.214.41. Terms of
 Bruno Ordozgoiti*a, Alberto Mozoa, Jes´us Garc´ıa L´opez de Lacalleb
 Department of Computer Systems, Universidad Polit´ecnica de Madrid
 Department of Applied Mathematics, Universidad Polit´ecnica de Madrid"

-197f945b66995e4d006497808586f828f8a88a86,Part Discovery from Partial Correspondence,"Part Discovery from Partial Correspondence
-Subhransu Maji
-Gregory Shakhnarovich
-Toyota Technological Institute at Chicago, IL, USA"

 19c53302bda8a82ec40d314a85b1713f43058a1a,Deep learning models of biological visual information processing,"Turcsány, Diána (2016) Deep learning models of
 iological visual information processing. PhD thesis,
 University of Nottingham.
@@ -43839,11 +37298,6 @@ Wonsik Kim, Bhavya Goyal, Kunal Chawla, Jungmin Lee, Keunjoo Kwon
 Samsung Research,
 Samsung Electronics
 {wonsik16.kim, bhavya.goyal, kunal.chawla, jm411.lee,"

-192723085945c1d44bdd47e516c716169c06b7c0,Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation
-Vision and Attention Theory Based Sampling
-for Continuous Facial Emotion Recognition
-Albert C. Cruz, Student Member, IEEE, Bir Bhanu, Fellow, IEEE, and
-Ninad S. Thakoor, Member, IEEE"

 197eafb6abb6b7d2813eec0891b143e27fc57386,Smile! Studying expressivity of happiness as a synergic factor in collaborative information seeking,"Smile! Studying expressivity of happiness as a synergic factor in collaborative
 information seeking.
 Rutgers University has made this article freely available.  Please share how this access benefits you.
@@ -43871,24 +37325,6 @@ Computer Engineering Department
 Istanbul 34230, Turkey
 Technical report TR-ITS.2007.01
 January 26, 2007"

-19bc52323383732c3c7d73e11726f6232515d2f9,KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-KAIST Multi-Spectral Day/Night Data Set for
-Autonomous and Assisted Driving
-Yukyung Choi
-, Namil Kim, Soonmin Hwang, Kibaek Park, Jae Shin Yoon,
-Kyounghwan An, Member, IEEE, and In So Kweon, Member, IEEE
-i.e., a thermal"

-191753aa338f24bb41f7bacb4326e0c0a1b90459,"Visual People Detection – Different Models , Comparison and Discussion","Visual People Detection – Different Models, Comparison and Discussion
-Bernt Schiele, Mykhaylo Andriluka, Nikodem Majer, Stefan Roth and Christian Wojek
-Department of Computer Science, TU Darmstadt"

-19441b8be551e8134dd9eb33238309bc2de0a42f,Playing for Benchmarks,"Playing for Benchmarks
-Stephan R. Richter
-TU Darmstadt
-Zeeshan Hayder
-Vladlen Koltun
-Intel Labs
-Figure 1. Data for several tasks in our benchmark suite. Clockwise from top left: input video frame, semantic segmentation, semantic
-instance segmentation, 3D scene layout, visual odometry, optical flow. Each task is presented on a different image."

 19d4855f064f0d53cb851e9342025bd8503922e2,Learning SURF Cascade for Fast and Accurate Object Detection,"Learning SURF Cascade for Fast and Accurate Object Detection
 Jianguo Li, Yimin Zhang
 Intel Labs China"

@@ -43982,13 +37418,6 @@ e151c99b5e55bfc03047a2c6c2118cd9e4ad829b,Perspectives on Deep Multimodel Robot L
 Robot Learning
 Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang,
 Johan Vertens, Oier Mees, Andreas Eitel and Gabriel Oliveira"

-e1e60501677ae67c6a682bac2c17e4fc904ee380,Performance Analysis of Local Binary Pattern Variants in Texture Classification,"Performance Analysis of Local Binary Pattern
-International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
-Volume 06, Issue 05, May 2017, ISSN: 2278 – 1323
-Variants in Texture Classification
-Ch. Sudha Sree1, M. V. P Chandra Sekhara Rao2
-,2Department of CA, Department of CSE, R.V.R &J.C College of Engineering
-Guntur, India"

 e19ebad4739d59f999d192bac7d596b20b887f78,Learning Gating ConvNet for Two-Stream based Methods in Action Recognition,"Learning Gating ConvNet for Two-Stream based Methods in Action
 Recognition
 Jiagang Zhu1,2, Wei Zou1, Zheng Zhu1,2"

@@ -44005,24 +37434,6 @@ Dr.A.V.Senthil Kumar.,
 Director, Hindustan College of Arts and Science,
 Coimbatore, Tamil Nadu, India."

 e1cb110c45c4416f7aff490db2674abe1460259e,Hard-Aware Point-to-Set Deep Metric for Person Re-identification,"Hard-AwarePoint-to-SetDeepMetricforPersonRe-identificationRuiYu1,ZhiyongDou1,SongBai1,ZhaoxiangZhang2,YongchaoXu1(),andXiangBai1("

-e1140b86c64549cbcd138f868c82ee8aad77d103,Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality,"Occlusion Handling using Semantic Segmentation and
-Visibility-Based Rendering for Mixed Reality
-Menandro Roxas
-Tomoki Hori
-Taiki Fukiage
-Tokyo, Japan
-Yasuhide Okamoto
-Takeshi Oishi
-(cid:140)e University of Tokyo"

-e1f815c50a6c0c6d790c60a1348393264f829e60,PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG,"PEDESTRIAN DETECTION AND TRACKING IN
-SURVEILLANCE VIDEO
-PENNY CHONG
-A project report submitted in partial fulfilment of the
-requirements for the award of Bachelor of Science (Hons.)
-Applied Mathematics with Computing
-Lee Kong Chian Faculty of Engineering and Science
-Universiti Tunku Abdul Rahman
-April 2016"

 e10662a59b5f8e1f5684409023f11ca727647320,Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images,"Performance Evaluation of Deep Learning Networks for
 Semantic Segmentation of Traffic Stereo-Pair Images
 Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri Gordienko, Alexandr Rokovyi, Oleg
@@ -44087,10 +37498,6 @@ Centre, University of Central Lancashire, Preston PR1 2HE, U.K.
 Keywords:
 Face  Recognition,  Shape  Matching  and  Modelling,  Isometric  Embedding  Representation,  Non-Rigid
 Deformation Registration."

-e1725b71f3f127d6a49d24f14bee05aada1e2f96,Part-Based Deep Hashing for Large-Scale Person Re-Identification,"Part-based Deep Hashing for Large-scale
-Person Re-identification∗
-Fuqing Zhu, Xiangwei Kong, Member, IEEE, Liang Zheng, Member, IEEE, Haiyan Fu, Member, IEEE,
-Qi Tian, Fellow, IEEE,"

 e1e2b6a8944a4e6f195b6f7371ee9e6b0684ae6b,Generating Personalized Virtual Agent in Speech Dialogue System for People with Dementia,"Generating Personalized Virtual Agent
 in Speech Dialogue System for People
 with Dementia
@@ -44118,22 +37525,6 @@ CNN Inference Engine for mW IoT End-Nodes
 Renzo Andri∗, Lukas Cavigelli∗, Davide Rossi†, Luca Benini∗†
 Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland
 DEI, University of Bologna, Bologna, Italy"

-e1660c10ae661cf951602232b36047b19198f599,Web Image Search Using Attribute Assisted Re-Ranking Model,"Vol-2 Issue-1 2016
-IJARIIE-ISSN(O)-2395-4396
-Web Image  Search Using  Attribute Assisted  Re-
-Ranking  Model
-Ganesh  R Nagare1, Ashok  V Markad 2
-Information Technology, Amrutvahini College of Engineering, Maharashtra, India"

-e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,"International Journal of Innovative Research in Science,
-Engineering and Technology
-(An ISO 3297: 2007 Certified Organization)
-Vol. 3, Issue 5, May 2014
-Sparse Code Words
-ISSN: 2319-8753
-Image Retrieval Using Attribute Enhanced
-M.Balaganesh1, N.Arthi2
-Associate Professor, Department of Computer Science and Engineering, SRV Engineering College, sembodai, india1
-P.G. Student, Department of Computer Science and Engineering, SRV Engineering College, sembodai, India 2"

 e18cc09c3d3d79df6cd40ea5cf13ad40eacb8a73,Visual Transfer Learning: Informal Introduction and Literature Overview,"Visual Transfer Learning: Informal Introduction
 nd Literature Overview
 Erik Rodner
@@ -44225,10 +37616,6 @@ Lunit Inc., Seoul, South Korea
 b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2,Face recognition by applying wavelet subband representation and kernel associative memory,"Face Recognition by Applying Wavelet Subband
 Representation and Kernel Associative Memory
 Bai-Ling Zhang, Haihong Zhang, and Shuzhi Sam Ge, Senior Member, IEEE"

-b9b7b37d7edf4482a6f440e282c3418ab1913afa,ThiNet: Pruning CNN Filters for a Thinner Net.,"ACCEPTED BY IEEE TRANS. PAMI
-ThiNet: Pruning CNN Filters for a Thinner Net
-Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Member, IEEE,
-nd Weiyao Lin, Senior Member, IEEE"

 b9f8c8db31ab3882f513246b8d39386cea8cf764,Near Real-Time Object Recognition for Pepper based on Deep Neural Networks Running on a Backpack,"Near Real-Time Object Recognition for Pepper
 ased on Deep Neural Networks Running on a
 Backpack
@@ -44280,10 +37667,6 @@ imec-DistriNet, KU Leuven
 imec-DistriNet, KU Leuven"

 b908edadad58c604a1e4b431f69ac8ded350589a,Deep Face Feature for Face Alignment,"Deep Face Feature for Face Alignment
 Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo and Ligang Liu"

-b9305c065b3c95fd0844d16a09fb9cc7c321cf58,Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning,"Detecting Humans in Dense Crowds Using
-Locally-Consistent Scale Prior and Global
-Occlusion Reasoning
-Haroon Idrees, Member, IEEE, Khurram Soomro, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

 40377a1bc15a9ec28ea54cc53d5cf0699365634f,Строительство автомобильных дорог на основе 3D-моделей,"НЕКООПЕРАТИВНАЯ БИОМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ ПО 3D-
 МОДЕЛЯМ ЛИЦА С ИСПОЛЬЗОВАНИЕМ ВИДЕОКАМЕР ВЫСОКОГО
 РАЗРЕШЕНИЯ
@@ -44346,11 +37729,6 @@ ALGORITHM FOR FACE RECOGNITION
 Saurabh Asija1, Rakesh Singh2
 Research Scholar (Computer Engineering Department), Punjabi University, Patiala.
 Asst. Professor (Computer Engineering Department), Punjabi University, Patiala."

-40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80,Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move,"Toward Unconstrained Fingerprint Recognition:
-Fully Touchless 3-D System
-Based on Two Views on the Move
-Ruggero Donida Labati, Member, IEEE, Angelo Genovese, Member, IEEE,
-Vincenzo Piuri, Fellow, IEEE, and Fabio Scotti, Senior Member, IEEE"

 400aa5cb2fec558f7827c3638993bae34752ff31,Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme,"(cid:13)2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
 reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,
 or reuse of any copyrighted component of this work in other works.
@@ -44401,19 +37779,6 @@ L. D. College of Engineering
 L. D. College of Engineering
 L. D. College of Engineering
 L. D. College of Engineering"

-40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,"Face Detection Algorithms: A Comparative Study
-Kapil Kumar Gupta1, M. Rizwan Beg 2 , Jitendra Kumar Niranjan3
-1 Department of Computer Science & Engg., Integral University,
-Lucknow, Uttar Pradesh, 226001, India
-Department of Computer Science & Engg., Integral University,
-Lucknow, Uttar Pradesh, 226001, India
-Department of Computer Science & Engg, IMS Engineering College
-Ghaziabad, Uttar Pradesh 201009, India"

-405a70c184e00eefcf797a0e842578ea0b51f6cd,Learning a Family of Detectors via Multiplicative Kernels,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-Learning a Family of Detectors
-via Multiplicative Kernels
-Quan Yuan, Member, IEEE, Ashwin Thangali, Student Member, IEEE,
-Vitaly Ablavsky, Student Member, IEEE, and Stan Sclaroff, Senior Member, IEEE"

 40fb4e8932fb6a8fef0dddfdda57a3e142c3e823,A mixed generative-discriminative framework for pedestrian classification,"A Mixed Generative-Discriminative Framework for Pedestrian Classification
 Markus Enzweiler1
 Dariu M. Gavrila2,3
@@ -44483,10 +37848,6 @@ Ouriel Grynszpan, Institut des"
 404c7839afe2fec48a06f83d2a532c05ad8ba0d3,Vehicle Classification using Transferable Deep Neural Network Features,"Vehicle Classification using Transferable Deep
 Neural Network Features
 Yiren Zhou, Ngai-Man Cheung"

-40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,"Optimizing Apparent Display Resolution
-Enhancement for Arbitrary Videos
-Michael Stengel*, Member, IEEE, Martin Eisemann, Stephan Wenger,
-Benjamin Hell, Marcus Magnor, Member, IEEE"

 405b43f4a52f70336ac1db36d5fa654600e9e643,What can we learn about CNNs from a large scale controlled object dataset?,"What can we learn about CNNs from a large scale controlled object dataset?
 Ali Borji
 Saeed Izadi
@@ -44532,16 +37893,6 @@ BioID AG, Berlin, Germany
 WWW home page: http://www.bioid.com"

 40205181ed1406a6f101c5e38c5b4b9b583d06bc,Using Context to Recognize People in Consumer Images,"Using Context to Recognize People in Consumer Images
 Andrew C. Gallagher and Tsuhan Chen"

-40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,"Vol-2 Issue-5 2017
-IJARIIE-ISSN(O)-2395-4396
-IMPROVED SECURITY ASPECTS ON
-MICROSOFTS
-TWO -LAYER CAPTCHA
-Rachana.B.S, Dhruthi.S, Swarna.R, Chandan.A
-Rachana.B.S, Asst.Prof, ISE, APSCE, B’lore, Karnataka, INDIA
-Dhruthi S, Student, ISE,, APSCE, Karnataka, India
-Swarna R, Student, ISE, APSCE, Karnataka, India
-Chandana A, Student, ISE, APSCE, Karnataka, India"

 40a34d4eea5e32dfbcef420ffe2ce7c1ee0f23cd,Bridging Heterogeneous Domains With Parallel Transport For Vision and Multimedia Applications,"Bridging Heterogeneous Domains With Parallel Transport For Vision and
 Multimedia Applications
 Raghuraman Gopalan
@@ -44578,13 +37929,6 @@ Ning Zhang"
 Dong Huk Park1, Lisa Anne Hendricks1, Zeynep Akata2,3, Anna Rohrbach1,3,
 Bernt Schiele3, Trevor Darrell1, and Marcus Rohrbach4
 EECS, UC Berkeley, 2University of Amsterdam, 3MPI for Informatics, 4Facebook AI Research"

-40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression,"International Journal of Information Science and Intelligent System,      3(2): 1-12,          2014
-Optical Flow Based Face Recognition under
-Expression Variations
-Vimala K1,∗, Dr.V.Kalaivani2, V.Anusuya Devi3
-1Assistant Professor, Department of CSE(PG),National Engineering College , Kovilpatti, India
-2  Associate Professor(SG) and Head, Department of CSE(PG),National Engineering College India ,
-Assistant Professor, Department of CSE(PG),National Engineering College, Kovilpatti, India"

 401e6b9ada571603b67377b336786801f5b54eee,Active image clustering: Seeking constraints from humans to complement algorithms,"Active Image Clustering: Seeking Constraints from
 Humans to Complement Algorithms
 November 22, 2011"

@@ -44634,11 +37978,6 @@ Samuel Schulter1,† Menghua Zhai2,†
 Nathan Jacobs2
 Manmohan Chandraker1,3
 NEC-Labs1, Computer Science University of Kentucky2, UC San Diego3"

-40b5d6a6a38b4f222437d49fcbf8986abbf7b060,Frontal face authentication using morphological elastic graph matching,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 4, APRIL 2000
-Frontal Face Authentication Using Morphological
-Elastic Graph Matching
-Constatine Kotropoulos, Member, IEEE, Anastasios Tefas, Student Member, IEEE, and
-Ioannis Pitas, Senior Member, IEEE"

 40c6a2b1cb312f11f8225a733545fdabd436e347,Deep Co-Training for Semi-Supervised Image Recognition,"Deep Co-Training for Semi-Supervised
 Image Recognition
 Siyuan Qiao1 Wei Shen1,2 Zhishuai Zhang1 Bo Wang3 Alan Yuille1
@@ -44656,11 +37995,6 @@ The content must not be changed in any way or sold commercially in any format or
 medium without the formal permission of the author.
 When referring to this work, full bibliographic details including the author, title,
 warding institution and date of the thesis must be given."

-40c3b350008ada8f3f53a758e69992b6db8a8f95,Discriminative decorrelation for clustering and classification,"Discriminative Decorrelation for Clustering and
-Classification￿
-Bharath Hariharan1, Jitendra Malik1, and Deva Ramanan2
-Univerisity of California at Berkeley, Berkeley, CA, USA
-University of California at Irvine, Irvine, CA, USA"

 40dab43abef32deaf875c2652133ea1e2c089223,Facial Communicative Signals: valence recognition in task-oriented human-robot Interaction,"Noname manuscript No.
 (will be inserted by the editor)
 Facial Communicative Signals
@@ -44687,11 +38021,6 @@ Pediatric Care"
 for Subspace Clustering
 from Corrupted and Incomplete Data
 Alexander Petukhov, Inna Kozlov"

-40c1aec7e0830bf9dd8a689d671024567311ae72,Interact as You Intend: Intention-Driven Human-Object Interaction Detection,"A SUBMISSION TO IEEE TRANSACTIONS ON MULTIMEDIA
-Interact as You Intend: Intention-Driven
-Human-Object Interaction Detection
-Bingjie Xu, Junnan Li, Yongkang Wong, Member, IEEE, Qi Zhao, Member, IEEE, and
-Mohan S. Kankanhalli, Fellow, IEEE"

 402f6db00251a15d1d92507887b17e1c50feebca,3D Facial Action Units Recognition for Emotional Expression,"D Facial Action Units Recognition for Emotional
 Expression
 Norhaida Hussain1, Hamimah Ujir, Irwandi Hipiny and Jacey-Lynn Minoi2
@@ -44733,26 +38062,6 @@ Ark Verma
 Promotor: Prof. Dr. Marc Brysbaert
 Proefschrift ingediend tot het behalen van de academische graad
 van Doctor in de Psychologie"

-3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,"ORIGINAL RESEARCH ARTICLE
-published: 08 May 2014
-doi: 10.3389/fpsyg.2014.00397
-Seeing to hear? Patterns of gaze to speaking faces in
-hildren with autism spectrum disorders
-Julia R. Irwin1,2* and Lawrence Brancazio1,2
-Haskins Laboratories, New Haven, CT, USA
-Department of Psychology, Southern Connecticut State University, New Haven, CT, USA
-Edited by:
-Jean-Luc Schwartz, National Centre
-for Scientific Research, France
-Reviewed by:
-Satu Saalasti, Brain and Mind
-Laboratory, Aalto University School of
-Science, Finland
-David House, Royal Institute of
-Technology, Sweden
-*Correspondence:
-Julia R. Irwin, Haskins Laboratories,
-00 George Street, New Haven,"

 3c374cb8e730b64dacb9fbf6eb67f5987c7de3c8,Measuring Gaze Orientation for Human-Robot Interaction,"Measuring Gaze Orientation for Human-Robot
 Interaction
 R. Brochard∗, B. Burger∗, A. Herbulot∗†, F. Lerasle∗†
@@ -44839,9 +38148,6 @@ Privacy-Preserving Mobile Analytics
 Seyed Ali Ossia(cid:63), Ali Shahin Shamsabadi(cid:63), Ali Taheri(cid:63), Hamid R. Rabiee(cid:63),
 Nic Lane‡, Hamed Haddadi†
 (cid:63)Sharif University of Technology, ‡University College London, †Queen Mary University of London"

-3c56acaa819f4e2263638b67cea1ec37a226691d,Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition,"Body Joint guided 3D Deep Convolutional
-Descriptors for Action Recognition
-Congqi Cao, Yifan Zhang, Member, IEEE, Chunjie Zhang, Member, IEEE, and Hanqing Lu, Senior Member, IEEE"

 3c8da376576938160cbed956ece838682fa50e9f,Aiding face recognition with social context association rule based re-ranking,"Chapter 4
 Aiding Face Recognition with
 Social Context Association Rule
@@ -44891,8 +38197,6 @@ September 2008"
 3ca194773fe583661b988fbdf33f7680764438b3,Exploring Nearest Neighbor Approaches for Image Captioning,"Exploring Nearest Neighbor Approaches for
 Image Captioning
 Jacob Devlin, Saurabh Gupta, Ross Girshick, Margaret Mitchell, C. Lawrence Zitnick"

-3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a,Recognition of Genuine Smiles,"Recognition of Genuine Smiles
-Hamdi Dibeklioğlu, Member, IEEE, Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE"

 3cd10f6f24c49ce677a18f0984ff4466333d8d13,Correcting rolling-shutter distortion of CMOS sensors using facial feature detection,"© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE
 must  be  obtained  for  all  other  uses,  in  any  current  or  future  media,  including
 reprinting/republishing  this  material  for  advertising  or  promotional  purposes,
@@ -45027,13 +38331,6 @@ NYU
 Cordelia Schmida"

 3cc0d9c1f690addd2c82e60f2a460e3c557ff242,Sort Story: Sorting Jumbled Images and Captions into Stories,"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 925–931,
 Austin, Texas, November 1-5, 2016. c(cid:13)2016 Association for Computational Linguistics"

-3ce0f48106fd872e2c2327596c2677c4680444a2,Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.,"Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person
-Authentication
-Vinod Pathangay and B. Yegnanarayana
-Department of Computer Science and Engineering
-Indian Institute of Technology Madras
-Chennai- 600 036, India
-(cid:1)vinod,"

 3c49dafc82ee24e70e338b896868cd9f82f0edd7,BIOLOGICALLY MOTIVATED 3 D FACE RECOGNITION by,"BIOLOGICALLY MOTIVATED 3D FACE RECOGNITION
 Albert Ali Salah
 B.S, in Computer Engineering, Bo˘gazi¸ci University, 1998
@@ -45044,12 +38341,6 @@ the requirements for the degree of
 Doctor of Philosophy
 Graduate Program in
 Bo˘gazi¸ci University"

-e644867bc141453d1f0387c76ff5e7f7863c5f4f,Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation,"Learning Pixel-level Semantic Affinity with Image-level Supervision
-for Weakly Supervised Semantic Segmentation
-Jiwoon Ahn
-DGIST, Korea
-Suha Kwak
-POSTECH, Korea"

 e6e5a6090016810fb902b51d5baa2469ae28b8a1,Title Energy-Efficient Deep In-memory Architecture for NAND Flash Memories,"Title
 Energy-Efficient Deep In-memory Architecture for NAND
 Flash Memories
@@ -45107,11 +38398,6 @@ Tae-Kyun Kim9, Jiˇr´ı Matas1, Carsten Rother3
 CTU in Prague, 2TU Dresden, 3Heidelberg University, 4Toyota Research Institute
 5University of Southern Denmark, 6MVTec Software, 7Taiwan Tech
 8FORTH Heraklion, 9Imperial College London, 10TU Munich"

-e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd,Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction,"Flexible Manifold Embedding: A Framework
-for Semi-Supervised and Unsupervised
-Dimension Reduction
-Feiping Nie, Dong Xu, Member, IEEE, Ivor Wai-Hung Tsang, and Changshui Zhang, Member, IEEE
-, the linear regression function ("

 e605242319ba495bc5f47abe9f1c08d508d83627,Importance-Aware Semantic Segmentation for Autonomous Driving System,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

 e63a0ea338dfc7293ddd68074baf250e99d0c6d5,Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings,"Nonlinear Supervised Dimensionality Reduction via
 Smooth Regular Embeddings
@@ -45175,9 +38461,6 @@ PES Institute of Technology; Rajajinagar, Bangalore, Karnataka, India.
 PES University; Banashankari, Bangalore, Karnataka, India.
 * Corresponding author. Tel.: +91-9731054855; email:
 Manuscript submitted May 15, 2018; accepted July 8, 2018."

-e68083909381a8fbd0e4468aa06204ac00a0e6fc,Visual Identification by Signature Tracking,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 2, FEBRUARY 2003
-Visual Identification by Signature Tracking
-Mario E. Munich, Member, IEEE, and Pietro Perona, Member, IEEE"

 e624c73e3057a1de75e9d6d7e813771154ff1375,Incorporating Scalability in Unsupervised Spatio- Temporal Feature Learning,"INCORPORATING SCALABILITY IN UNSUPERVISED SPATIO-TEMPORAL FEATURE
 LEARNING
 Sujoy Paul, Sourya Roy and Amit K. Roy-Chowdhury
@@ -45196,10 +38479,6 @@ Univ. Lille, CNRS, Centrale Lille, Inria,
 UMR 9189 - CRIStAL, F-59000 Lille, France
 Bilal Piot
 DeepMind"

-e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5,Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, MONTH YEAR
-Multi-person Tracking by Online Learned Grouping
-Model with Non-linear Motion Context
-Xiaojing Chen, Zhen Qin, Le An, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

 e63f4867c73eff9ff7cdf31246585a6915acef57,Digging Into Self-Supervised Monocular Depth Estimation,"Digging Into Self-Supervised
 Monocular Depth Estimation
 Cl´ement Godard
@@ -45220,12 +38499,6 @@ Xuelin Qian1, Yanwei Fu1, Tao Xiang2, Wenxuan Wang1
 Jie Qiu3, Yang Wu3, Yu-Gang Jiang1, Xiangyang Xue1
 Fudan University; 2Queen Mary University of London;
 Nara Institute of Science and Technology;"

-e68ef9597613cd2b6cf76e81c13eb061ee468485,Latent Convolutional Models,"Published as a conference paper at ICLR 2019
-LATENT CONVOLUTIONAL MODELS
-ShahRukh Athar
-Skolkovo Institute of Science and Technology (Skoltech), Russia
-Evgeny Burnaev
-Victor Lempitsky∗"

 e6d8ebfd88ee333deccce32b09ee41d271af6dc4,Grasp2Vec: Learning Object Representations from Self-Supervised Grasping,"Grasp2Vec: Learning Object Representations
 from Self-Supervised Grasping
 Eric Jang *,1, Coline Devin *,2,†, Vincent Vanhoucke1, and Sergey Levine1,2
@@ -45407,27 +38680,13 @@ Christian Th´eriault(1), Nicolas Thome(1), Matthieu Cord(1), Patrick P´erez(2)
 (1)UPMC-Sorbonne Universities, Paris, France (2)Technicolor, France"

 10be82098017fc2d60b0572cea8032afabad5d1a,A Dataset for Multimodal Question Answering in the Cultural Heritage Domain,"Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH),
 pages 10–17, Osaka, Japan, December 11-17 2016."

-10d334a98c1e2a9e96c6c3713aadd42a557abb8b,Scene Text Recognition Using Part-Based Tree-Structured Character Detection,"Scene Text Recognition using Part-based Tree-structured Character Detection
-Cunzhao Shi, Chunheng Wang, Baihua Xiao, Yang Zhang, Song Gao and Zhong Zhang
-State Key Laboratory of Management and Control for Complex Systems, CASIA, Beijing, China"

-106732a010b1baf13c61d0994552aee8336f8c85,Expanded Parts Model for Semantic Description of Humans in Still Images,"Expanded Parts Model for Semantic Description
-of Humans in Still Images
-Gaurav Sharma, Member, IEEE, Fr´ed´eric Jurie, and Cordelia Schmid, Fellow, IEEE"

 10d710c01acb10c4aea702926d21697935656c3d,Infrared Colorization Using Deep Convolutional Neural Networks,"Infrared Colorization Using Deep Convolutional
 Neural Networks
 Matthias Limmer∗, Hendrik P.A. Lensch†
 Daimler AG, Ulm, Germany
 Department of Computer Graphics, Eberhard Karls Universität, Tübingen, Germany"

-106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9,Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2015
-Block-Diagonal Sparse Representation by Learning
-Linear Combination Dictionary for Recognition
-Xinglin Piao, Yongli Hu, Member, IEEE, Yanfeng Sun, Member, IEEE, Junbin Gao, Baocai Yin, Member, IEEE"

 100641ed8a5472536dde53c1f50fa2dd2d4e9be9,Visual attributes for enhanced human-machine communication,"Visual Attributes for Enhanced Human-Machine Communication*
 Devi Parikh1"

-102a2096ba2e2947dc252445f764e7583b557680,Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks,"Precomputed Real-Time Texture Synthesis with
-Markovian Generative Adversarial Networks
-Chuan Li and Michael Wand
-Institut for Informatik, University of Mainz, Germany"

 10114df7ddbb221337cc1e99e1de0eab8e47c95d,Evaluating Feature Importance for Re-identification,"Chapter 9
 Evaluating Feature Importance for
 Re-Identification
@@ -45475,11 +38734,6 @@ Research Supervisor: William T. Freeman"
 1059729bcca57731c81d8a9c866ceb8ed3547d8d,Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles,"Coupled Object Detection and Tracking from
 Static Cameras and Moving Vehicles
 Bastian Leibe, Konrad Schindler, Nico Cornelis, and Luc Van Gool"

-101c5b39f4fc4dda1f39bf0c00e196f0a4720af2,Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features,"Viewpoint Invariant Human Re-identification in
-Camera Networks Using Pose Priors and
-Subject-Discriminative Features
-Ziyan Wu, Student Member, IEEE, Yang Li, Student Member, IEEE, and Richard J. Radke, Senior
-Member, IEEE"

 106150b707a31f0825bdae44eca4139b715547d6,Robust Semantic Segmentation with Ladder-DenseNet Models,"Robust Semantic Segmentation with Ladder-DenseNet Models
 Ivan Kreˇso
 Marin Orˇsi´c
@@ -45495,11 +38749,6 @@ Takaaki Hori†, Anoop Cherian†, Tim K. Marks†,
 Irfan Essa∗, Dhruv Batra∗ Devi Parikh∗,
 Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA
 School of Interactive Computing, Georgia Tech"

-108b2581e07c6b7ca235717c749d45a1fa15bb24,Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose,"Using Stereo Matching with General Epipolar
-Geometry for 2D Face Recognition
-cross Pose
-Carlos D. Castillo, Student Member, IEEE, and
-David W. Jacobs, Member, IEEE"

 10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29,A Question-Answering framework for plots using Deep learning,"A Question-Answering framework for plots using Deep learning
 Revanth Reddy1, Rahul Ramesh1, Ameet Deshpande1 and Mitesh M. Khapra1
 Indian Institute of Technology Madras"

@@ -45587,10 +38836,6 @@ occlusion of targets and observations
 nonymous submission
 Keywords:
 Tracking, graphical models, MAP inference, particle tracking, live cell tracking, intelligent headlights."

-10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,"Cross Euclidean-to-Riemannian Metric Learning
-with Application to Face Recognition from Video
-Zhiwu Huang, Member, IEEE, Ruiping Wang, Member, IEEE, Shiguang Shan, Senior Member, IEEE,
-Luc Van Gool, Member, IEEE and Xilin Chen, Fellow, IEEE"

 10e3b9fe646c6e81ec824cdc2391cc412a1b2730,Solving Three Czech NLP Tasks End-to-End with Neural Models,"S. Krajˇci (ed.): ITAT 2018 Proceedings, pp. 138–143
 CEUR Workshop Proceedings Vol. 2203, ISSN 1613-0073, c(cid:13) 2018 Jindˇrich Libovický, Rudolf Rosa, Jindˇrich Helcl, and Martin Popel"

 1038aa6c1f63c1de9045f10e47ed573810cb4a52,A Video-Based Method for Objectively Rating Ataxia,"A Video-Based Method for Objectively Rating Ataxia
@@ -45628,26 +38873,6 @@ schangpi,
 Fei Sha
 U. of California
 Los Angeles, CA"

-107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-adversarial training of neural networks,"Journal of Machine Learning Research 17 (2016) 1-35
-Submitted 5/15; Published 4/16
-Domain-Adversarial Training of Neural Networks
-Yaroslav Ganin
-Evgeniya Ustinova
-Skolkovo Institute of Science and Technology (Skoltech)
-Skolkovo, Moscow Region, Russia
-Hana Ajakan
-Pascal Germain
-D´epartement d’informatique et de g´enie logiciel, Universit´e Laval
-Qu´ebec, Canada, G1V 0A6
-Hugo Larochelle
-D´epartement d’informatique, Universit´e de Sherbrooke
-Qu´ebec, Canada, J1K 2R1
-Fran¸cois Laviolette
-Mario Marchand
-D´epartement d’informatique et de g´enie logiciel, Universit´e Laval
-Qu´ebec, Canada, G1V 0A6
-Victor Lempitsky
-Skolkovo Institute of Science and Technology (Skoltech)"

 4c1ef2a628627798939dccc072d33f9e12b48640,Advanced Hybrid Color Space Normalization for Human Face Extraction and Detection,"IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613
 Advanced Hybrid Color Space Normalization for Human Face
 Extraction and Detection
@@ -45671,26 +38896,6 @@ its Application to Sepsis Classification
 Yoshihide Sawada1 and Yoshikuni Sato2 and Toru Nakada2 and Kei Ujimoto2 and Nobuhiro Hayashi3"

 4c39000bbd6761dd9e5609fe310af51facb835a9,Kinects and human kinetics : A new approach for studying pedestrian behavior,"This paper might be a pre-copy-editing or a post-print author-produced .pdf of an article accepted for publication. For the
 definitive publisher-authenticated version, please refer directly to publishing house’s archive system."

-4cf17bca0e19070fbe9bb25644787f65fa6ebe1a,Human Pose Estimation.,"Human pose estimation
-Leonid Sigal, Disney Research, Pittsburgh
-Synonyms
-– Articulated pose estimation
-– Body configuration recovery
-Related Concepts
-– Human pose tracking
-– People tracking
-– Articulated pose tracking
-– Body parsing
-– People parsing
-Definition
-Human pose estimation is the process of estimating the configuration of the
-ody (pose) from a single, typically monocular, image.
-Background
-Human pose estimation is one of the key problems in computer vision that
-has been studied for well over 15 years. The reason for its importance is the
-bundance of applications that can benefit from such a technology. For example,
-human pose estimation allows for higher level reasoning in the context of human-
-omputer interaction and activity recognition; it is also one of the basic building"

 4c81789b13b016afc5ef47591268533674c2a3f6,Mapless Online Detection of Dynamic Objects in 3D Lidar,"Mapless Online Detection of Dynamic Objects in 3D Lidar
 David J. Yoon, Tim Y. Tang, and Timothy D. Barfoot
 model-free,"

@@ -45751,20 +38956,6 @@ Yang Wang‡
 University of Illinois at Urbana Champaign†
 David Forsyth†
 University of Manitoba‡"

-4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,"Gaze Direction Estimation by Component Separation for
-Recognition of Eye Accessing Cues
-Ruxandra Vrˆanceanu
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
-Corneliu Florea
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
-Laura Florea
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313
-Constantin Vertan
-Image Processing and Analysis Laboratory
-University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313"

 4c4454aa7a2a244c678f507a982fe8827ba419bb,Adversarial Examples for Semantic Image Segmentation,"Workshop track - ICLR 2017
 ADVERSARIAL EXAMPLES FOR
 SEMANTIC IMAGE SEGMENTATION
@@ -45784,33 +38975,11 @@ Jianqing Zhu, Huanqiang Zeng, Jingchang Huang, Shengcai Liao, Zhen Lei, Canhui C
 4cbb370f0bb6af0052bad6855cf1d9776376ceb3,Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection,"Towards Safe Autonomous Driving: Capture Uncertainty in the Deep
 Neural Network For Lidar 3D Vehicle Detection
 Di Feng1, Lars Rosenbaum1, Klaus Dietmayer2"

-4cbb4801667e2bee41e849b7d226cfcd1c501139,Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding,"Stixmantics: A Medium-Level Model
-for Real-Time Semantic Scene Understanding
-Timo Scharw¨achter1,2, Markus Enzweiler1, Uwe Franke1, and Stefan Roth2
-Environment Perception, Daimler R&D, Sindelfingen, Germany
-Department of Computer Science, TU Darmstadt, Germany"

 4cfdd0c8313ac4f92845dcd658115beb115b97ce,Multi-Task Learning as Multi-Objective Optimization,"Multi-Task Learning as Multi-Objective Optimization
 Ozan Sener
 Intel Labs
 Vladlen Koltun
 Intel Labs"

-4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,"International Journal of Signal Processing, Image Processing and Pattern Recognition
-Vol. 6, No. 3, June, 2013
-Face Recognition Based on Image Latent Semantic Analysis Model
-nd SVM
-Jucheng Yang 1, 2, Min Luo3 and Yanbin Jiao4
-Ahead Software Company Limited, Nanchang, 330041, China
-College of Computer Science and Information Engineering, Tianjin University of
-Science and Technology, Tianjin, China
-Jiangxi Institute of Computing Technology, Nanchang, China
-School of Information Technology, Jiangxi University of Finance and Economics,
-Nanchang, China"

-4cff5b5099b0227730efa9e9fd724a63dc0c0c2f,Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval,"Learning Efficient Binary Codes From
-High-Level Feature Representations
-for Multilabel Image Retrieval
-Lei Ma
-, Hongliang Li, Senior Member, IEEE, Fanman Meng, Member, IEEE, Qingbo Wu, Member, IEEE,
-nd King Ngi Ngan, Fellow, IEEE"

 4c0d7c0c4b0a1dd2fd11853ab98ea1fa79e0716b,Feature Extraction for Human Detection using HOG and CS-LBP methods,"International Journal of Computer Applications (0975 – 8887)
 National Conference “Electronics, Signals, Communication and Optimization"" (NCESCO 2015)
 Feature Extraction for Human Detection using HOG and
@@ -45859,11 +39028,6 @@ Christophe Garcia
 France Telecom R&D – TECH/IRIS
 , rue du Clos Courtel – BP 91226
 5512 Cesson Sévigné Cedex, France"

-4cc675422395ed7dc7e4772280f7c57cac6fbaee,Efficient person re-identification by hybrid spatiogram and covariance descriptor,"Efficient Person Re-identification by Hybrid Spatiogram and Covariance
-Descriptor
-Mingyong Zeng, Zemin Wu, Chang Tian, Lei Zhang, and Lei Hu
-College of Communications Engineering, PLA University
-of Science and Technology, Nanjing 210007, China"

 4c0ce0ed9cc92115874be4397f6240769d3ed84f,The effect of familiarity on face adaptation.,"doi:10.1068/p6774
 The effect of familiarity on face adaptation
 Sarah Laurence, Graham Hole
@@ -45939,17 +39103,6 @@ Dan Mikami, Kazuhiro Otsuka, Shiro Kumano and Junji Yamato
 NTT Communication Science Laboratories, NTT, 3-1 Morinosato-Wakamiya, Atsugi, Kanagawa, 243-0198, Japan
 Keywords:
 Pose Tracking, Face Pose, Memory-based Prediction, Memory Acquisition."

-4c22a9f6f3f2a6071327a1fa1f6fdc7ffd06987c,Face Recognition System with various Expression and Occlusion based on a Novel Block Matching Algorithm and PCA,"International Journal of Computer Applications (0975 – 8887)
-Volume 38– No.11, January 2012
-Face Recognition System with various Expression
-nd Occlusion based on a Novel Block Matching
-Algorithm and PCA
-Shermina.J
-V.Vasudevan
-Department of Information Technology
-HoD, Department of Information Technology
-Kalasalingam University
-India"

 4c88e41424022c7c5f111d34d931fae15f52a551,"CUR Decompositions, Similarity Matrices, and Subspace Clustering","CUR Decompositions, Similarity Matrices, and
 Subspace Clustering
 Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, and Ali Sekmen"

@@ -45986,17 +39139,6 @@ Adam Z. Stieg2,3*, James K. Gimzewski1,2,3
 Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California, United States of America, 2 California NanoSystems Institute,
 University of California Los Angeles, Los Angeles, California, United States of America, 3 World Premier International Center for Materials Nanoarchitectonics, National
 Institute for Materials Science, Tsukuba, Ibaraki, Japan"

-4c41b774a6bdf43d980f640880cc49b82ae19b34,3D Facial Landmark Detection under Large Yaw and Expression Variations,"D Facial Landmark Detection under
-Large Yaw and Expression Variations
-Panagiotis Perakis, Member, IEEE Computer Society, Georgios Passalis,
-Theoharis Theoharis, and Ioannis A. Kakadiaris, Senior Member, IEEE"

-4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,"Short Papers___________________________________________________________________________________________________
-Robust FFT-Based Scale-Invariant Image
-Registration with Image Gradients
-Georgios Tzimiropoulos, Member, IEEE,
-Vasileios Argyriou, Member, IEEE,
-Stefanos Zafeiriou, Member, IEEE, and
-Tania Stathaki"

 4c55ea9c04d46d60ec5789f4e4c3224c41360768,Dimensionality Reduction Using Similarity-Induced Embeddings,"IEEE Copyright Notice
 Copyright c(cid:13)2017 IEEE
 Personal use of this material is permitted. Permission from
@@ -46050,37 +39192,6 @@ Jia Jie Zhu"
 8646f22a46b65c2018bc39ad3cbdb939e788a1fc,Learning a Confidence Measure for Optical Flow,"Learning a Confidence Measure
 for Optical Flow
 Oisin Mac Aodha, Ahmad Humayun, Marc Pollefeys and Gabriel J. Brostow"

-861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA Miss .,"International Journal on Recent and Innovation Trends in Computing and Communication                                                     ISSN: 2321-8169
-Volume: 3 Issue: 5
-3337 - 3342
-_______________________________________________________________________________________________
-An Effective Technique for Removal of Facial Dupilcation by SBFA
-Miss. Deepika B. Patil
-Computer Department,
-GHRCEM,
-Pune, India
-Dr. Ayesha Butalia
-Computer Department,
-GHRCEM,
-Pune, India"

-86be567bab1293ed847979d2c56a662fcbcbc1d5,Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach,"Exploiting View-Specific Appearance Similarities Across Classes for
-Zero-shot Pose Prediction: A Metric Learning Approach
-Alina Kuznetsova
-Leibniz University Hannover
-Appelstr 9A, 30169
-Hannover, Germany
-Sung Ju Hwang
-UNIST
-50 UNIST-gil, 689798
-Ulsan, Korea
-Bodo Rosenhahn
-Leibniz University Hannover
-Appelstr 9A, 30169
-Hannover, Germany
-Leonid Sigal
-Disney Research
-720 Forbes Avenue, 15213
-Pittsburgh, PA, US"

 8629c779581a0f46452bc4ca45b571bfbd3cd063,Defoiling Foiled Image Captions,"Defoiling Foiled Image Captions
 Pranava Madhyastha, Josiah Wang and Lucia Specia
 Department of Computer Science
@@ -46115,26 +39226,6 @@ Peer reviewed
 eScholarship.org
 Powered by the California Digital Library
 University of California"

-86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,"Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion
-Giovanni De Magistris1, Asim Munawar1, Tu-Hoa Pham1, Tadanobu Inoue1,
-Phongtharin Vinayavekhin1, Ryuki Tachibana1
-IBM Research - Tokyo, Japan
-The accurate modeling of real-world systems and
-physical interactions is a common challenge towards the
-resolution of robotics tasks. Machine learning approaches
-have demonstrated significant results in the modeling of
-omplex systems (e.g., articulated robot structures, ca-
-le stretch, fluid dynamics), or to learn robotics tasks
-(e.g., grasping, reaching) from raw sensor measurements
-without explicit programming, using reinforcement learn-
-ing. However, a common bottleneck in machine learn-
-ing techniques resides in the availability of suitable data.
-While many vision-based datasets have been released in
-the recent years, ones involving physical interactions, of
-particular interest for the robotic community, have been
-scarcer. In this paper, we present a public dataset on peg-
-in-hole insertion tasks containing force-torque and pose
-information for multiple variations of convex-shaped pegs."

 867fd4914a265b5dd4494f14273b8d28257c7b5b,A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters,"Article
 A Comparison of FPGA and GPGPU Designs for
 Bayesian Occupancy Filters
@@ -46242,19 +39333,6 @@ Person Re-identification
 Jiayun Wanga, Sanping Zhoua, Jinjun Wanga,∗, Qiqi Houa
 The institute of artificial intelligence and robotic, Xi’an Jiaotong University, Xianning West Road
 No.28, Shaanxi, 710049, P.R. China"

-86f72a4391c3b90a03f8fbbd28d4846947f028d6,Principal Manifolds and Probabilistic Subspaces for Visual Recognition,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 6,
-JUNE 2002
-Principal Manifolds and Probabilistic
-Subspaces for Visual Recognition
-Baback Moghaddam, Member, IEEE"

-867e709a298024a3c9777145e037e239385c0129,ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE RECOGNITION APPROACH BASED ON DICTIONARY LEARNING AND SPARSE REPRESENTATION,"INTERNATIONAL JOURNAL
-OF PROFESSIONAL ENGINEERING STUDIES                                                                                                            Volume VIII /Issue 2 / FEB 2017
-ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE
-RECOGNITION APPROACH BASED ON DICTIONARY LEARNING
-AND  SPARSE REPRESENTATION
-Murala Sandeep1 A.Mallikarjuna Reddy2 P.Rajashaker Reddy3 Dr. G. Vishnu murthy4
-(M.Tech)1, Assistant Professor2, Assistant Professor3, HOD of CSE Department4
-Anurag group of institutions Ghatkesar, Ranga Reddy, Hyderabad, India"

 86614c2d2f6ebcb9c600d4aef85fd6bf6eab6663,Benchmarks for Cloud Robotics,"Benchmarks for Cloud Robotics
 Arjun Singh
 Electrical Engineering and Computer Sciences
@@ -46262,34 +39340,6 @@ University of California at Berkeley
 Technical Report No. UCB/EECS-2016-142
 http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-142.html
 August 12, 2016"

-86163c4270fa1173640e7b1f526ffdb482f45f17,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video
-Prediction
-Wonmin Byeon1,2,3,4, Qin Wang2,
-Rupesh Kumar Srivastava4, and Petros Koumoutsakos2
-NVIDIA, Santa Clara, CA, USA
-ETH Zurich, Zurich, Switzerland
-The Swiss AI Lab IDSIA, Manno, Switzerland
-NNAISENSE, Lugano, Switzerland"

-86e5f81bde496549e9df2b1abdef0879a3135adb,The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR,"The Visual QA Devil in the Details: The Impact
-of Early Fusion and Batch Norm on CLEVR
-Mateusz Malinowski and Carl Doersch
-DeepMind, London, United Kingdom
-Introduction
-Visual QA is a pivotal challenge for higher-level reasoning [1,2,3,4], requiring
-understanding language, vision, and relationships between many objects in a
-scene. Although datasets like CLEVR [5] are designed to be unsolvable with-
-out such complex relational reasoning, some surprisingly simple feed-forward,
-“holistic” models have recently shown strong performance on this dataset [6,7].
-These models lack any kind of explicit iterative, symbolic reasoning procedure,
-which are hypothesized to be necessary for counting objects, narrowing down
-the set of relevant objects based on several attributes, etc. The reason for this
-strong performance is poorly understood. Hence, our work analyzes such mod-
-els, and finds that minor architectural elements are crucial to performance. In
-particular, we find that early fusion of language and vision provides large per-
-formance improvements. This contrasts with the late fusion approaches popular
-t the dawn of Visual QA [5,8,9,10]. We propose a simple module we call Mul-
-timodal Core (MC), which we hypothesize performs the fundamental operations
-for multimodal tasks. We believe that understanding why these elements are so"

 861802ac19653a7831b314cd751fd8e89494ab12,"Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications","Marcin Grzegorzek, Christian Theobalt, Reinhard Koch,
 Andreas Kolb
 Time-of-Flight and Depth Imaging. Sensors, Algorithms
@@ -46312,26 +39362,6 @@ last few years. The present
 techniques..."

 86c053c162c08bc3fe093cc10398b9e64367a100,Cascade of forests for face alignment,"Cascade of Forests for Face Alignment
 Heng Yang, Changqing Zou, Ioannis Patras"

-86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,"(IJACSA) International Journal of Advanced Computer Science and Applications,
-Vol. 7, No. 3, 2016
-Competitive Representation Based Classification
-Using Facial Noise Detection
-Tao Liu
-Ying Liu
-Chongqing Key Laboratory of Computational Intelligence
-College of Computer Science and Technology, Chongqing
-Chongqing Key Laboratory of Computational Intelligence
-College of Computer Science and Technology, Chongqing
-University of Posts and Telecommunications
-University of Posts and Telecommunications
-Chongqing, China
-Chongqing, China
-Cong Li
-Chao Li
-Chongqing Key Laboratory of Computational Intelligence
-College of Computer Science and Technology, Chongqing
-Chongqing Key Laboratory of Computational Intelligence
-College of Computer Science and Technology, Chongqing"

 86b1751b265b289b09de79956e77a01d82e12086,Face recognition in multi-camera surveillance videos,"1st International Conference on Pattern Recognition (ICPR 2012)
 November 11-15, 2012. Tsukuba, Japan
 978-4-9906441-1-6 ©2012 IAPR"

@@ -46400,14 +39430,6 @@ destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de
 recherche français ou étrangers, des laboratoires"

-da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,"Multi-task CNN Model for Attribute Prediction
-Abrar H. Abdulnabi, Student Member, IEEE, Gang Wang, Member, IEEE, , Jiwen Lu, Member, IEEE
-nd Kui Jia, Member, IEEE"

-da24f3e196c5345ce08dfcc835574035da197f48,A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017
-A Global Alignment Kernel based Approach for
-Group-level Happiness Intensity Estimation
-Xiaohua Huang, Abhinav Dhall, Roland Goecke, Member, IEEE, Matti Pietik¨ainen, Fellow, IEEE, and
-Guoying Zhao, Senior Member, IEEE"

 daef6fa60c7d79930ad0a341aab69f1f4fa80442,Supplement for BIER,"Supplement for BIER
 . Introduction
 In this document we provide further insights into Boost-
@@ -46589,9 +39611,6 @@ University Malaysia Perlis (UniMAP)
 School of Mechatronics Engineering
 02600 Jejawi - Perlis
 MALAYSIA"

-bf9f26780d7207c8845d7787b6003a8df161afb8,Counting People With Low-Level Features and Bayesian Regression,"Counting People With Low-Level Features
-nd Bayesian Regression
-Antoni B. Chan, Member, IEEE, and Nuno Vasconcelos, Senior Member, IEEE"

 bff354d05823c83215183c8824faefbc093de011,A new efficient SVM and its application to real-time accurate eye localization,"Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011
 A New Efficient SVM and Its Application to
 Real-time Accurate Eye Localization
@@ -46610,10 +39629,6 @@ Dissertation Committee:
 Professor Amit K. Roy-Chowdhury, Chairperson
 Professor Anastasios Mourikis
 Professor Walid Najjar"

-bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53,Evaluation of PCA and LDA techniques for Face recognition using ORL face database,"Evaluation of PCA and LDA techniques for Face
-recognition using ORL face database
-CSE Dept. Faculty of Engineering, Avinashilingam University, Coimbatore, India
-M.Saraswathi, Dr. S. Sivakumari"

 bf1e0279a13903e1d43f8562aaf41444afca4fdc,Different Viewpoints of Recognizing Fleeting Facial Expressions with DWT,"International Research Journal of Engineering and Technology (IRJET)       e-ISSN: 2395-0056
 Volume: 04 Issue: 10 | Oct -2017                     www.irjet.net                                                                 p-ISSN: 2395-0072
 Different Viewpoints of Recognizing Fleeting Facial Expressions with
@@ -46632,9 +39647,6 @@ bf9d47987943e8c763ea42fbfd4b71c08ffda266,LECTURE ATTENDANCE SYSTEM WITH FACE REC
 IJARSE, Vol. No.2, Issue No.3, March, 2013                                                       ISSN-2319-8354(E)
 LECTURE ATTENDANCE SYSTEM WITH FACE RECOGNITION
 AND IMAGE PROCESSING"

-bf5940d57f97ed20c50278a81e901ae4656f0f2c,Query-Free Clothing Retrieval via Implicit Relevance Feedback,"Query-free Clothing Retrieval via Implicit
-Relevance Feedback
-Zhuoxiang Chen, Zhe Xu, Ya Zhang, Member, IEEE, and Xiao Gu"

 bf4f76c3da8a46783dfd2b72651e2300901ced25,Robust aggregation of GWAP tracks for local image annotation,"Robust aggregation of GWAP tracks
 for local image annotation
 C. Bernaschina, P. Fraternali, L. Galli, D. Martinenghi, M. Tagliasacchi
@@ -46645,38 +39657,10 @@ Richard Chen1, Faisal Mahmood2, Alan Yuille1 and Nicholas J. Durr2
 Department of Computer Science 2Department of Biomedical Engineering
 Johns Hopkins University, Baltimore, MD
 {rchen40, faisalm, ayuille,"

-bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,"End-to-End Pedestrian Collision Warning System
-ased on a Convolutional Neural Network
-with Semantic Segmentation
-Heechul Jung
-DGIST
-Daegu, Republic of Korea
-Min-Kook Choi
-DGIST
-Daegu, Republic of Korea
-Kwon Soon
-DGIST
-Daegu, Republic of Korea
-Woo Young Jung
-DGIST
-Daegu, Republic of Korea"

 bfa763e7cec812f855c712895fa48eae89a34a00,Face Retrieval using Frequency Decoded Local Descriptor,"PREPRINT: ACCEPTED IN MULTIMEDIA TOOLS AND APPLICATIONS, SPRINGER
 Face Retrieval using Frequency Decoded Local
 Descriptor
 Shiv Ram Dubey"

-bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e,Discriminative Face Alignment,"Discriminative Face Alignment
-Xiaoming Liu, Member, IEEE"

-bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,"Facial Expression Recognition Based on Local Binary Patterns and
-Local Fisher Discriminant Analysis
-SHIQING ZHANG 1, XIAOMING ZHAO 2, BICHENG LEI 1
-School of Physics and Electronic Engineering
-Taizhou University
-Taizhou 318000
-CHINA
-2Department of Computer Science
-Taizhou University
-Taizhou 318000
-CHINA"

 bf86c65a4a3d81ca422600fdbc5d31eb56e098b9,Fusion Algorithms for Face Localization,"Algorithms Fusion for Face
 Localization
 R. BELAROUSSI
@@ -46721,26 +39705,6 @@ Federica Battisti, Marco Carli, Giovanna Farinella, Alessandro Neri
 Applied Electronics Department
 Universit(cid:19)a degli Studi Roma TRE
 Rome, Italy"

-bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,"Neural Importance Sampling
-THOMAS MÜLLER, Disney Research & ETH Zürich
-BRIAN MCWILLIAMS, Disney Research
-FABRICE ROUSSELLE, Disney Research
-MARKUS GROSS, Disney Research & ETH Zürich
-JAN NOVÁK, Disney Research
-We propose to use deep neural networks for generating samples in Monte
-Carlo integration. Our work is based on non-linear independent compo-
-nents estimation (NICE), which we extend in numerous ways to improve
-performance and enable its application to integration problems. First, we
-introduce piecewise-polynomial coupling transforms that greatly increase
-the modeling power of individual coupling layers. Second, we propose to
-preprocess the inputs of neural networks using one-blob encoding, which
-stimulates localization of computation and improves inference. Third, we de-
-rive a gradient-descent-based optimization for the KL and the χ 2 divergence
-for the specific application of Monte Carlo integration with unnormalized
-stochastic estimates of the target distribution. Our approach enables fast and
-ccurate inference and efficient sample generation independently of the di-
-mensionality of the integration domain. We show its benefits on generating
-natural images and in two applications to light-transport simulation: first,"

 bf8bcda2e4d04b6bd6f5e70622e972baf525a1c7,Three decades of Cognition & Emotion: A brief review of past highlights and future prospects.,"COGNITION AND EMOTION, 2018
 VOL. 32, NO. 1, 1–12
 https://doi.org/10.1080/02699931.2018.1418197
@@ -46751,9 +39715,6 @@ Amsterdam, the Netherlands"
 bfa6ad4d71008505729274d008a9b4a7d92b2985,Semantic Understanding of Scenes Through the ADE20K Dataset,"Semantic Understanding of Scenes through the ADE20K Dataset
 Bolei Zhou · Hang Zhao · Xavier Puig · Tete Xiao · Sanja Fidler · Adela
 Barriuso · Antonio Torralba"

-bff9d100e99dd6a99ec26ca867694075b1dcac92,Passive Multimodal 2-D+3-D Face Recognition Using Gabor Features and Landmark Distances,"Passive Multimodal 2-D+3-D Face Recognition
-Using Gabor Features and Landmark Distances
-Sina Jahanbin, Member, IEEE, Hyohoon Choi, Member, IEEE, and Alan C. Bovik, Fellow, IEEE"

 bf39babab5648ff64cc4b79bfec96e8c6c93b812,The Impact of Disappointment in Decision Making: Inter-Individual Differences and Electrical Neuroimaging,"(cid:65)(cid:114)(cid:116)(cid:105)(cid:99)(cid:108)(cid:101)
 (cid:84)(cid:104)(cid:101)(cid:32)(cid:73)(cid:109)(cid:112)(cid:97)(cid:99)(cid:116)(cid:32)(cid:111)(cid:102)(cid:32)(cid:68)(cid:105)(cid:115)(cid:97)(cid:112)(cid:112)(cid:111)(cid:105)(cid:110)(cid:116)(cid:109)(cid:101)(cid:110)(cid:116)(cid:32)(cid:105)(cid:110)(cid:32)(cid:68)(cid:101)(cid:99)(cid:105)(cid:115)(cid:105)(cid:111)(cid:110)(cid:32)(cid:77)(cid:97)(cid:107)(cid:105)(cid:110)(cid:103)(cid:58)(cid:32)(cid:73)(cid:110)(cid:116)(cid:101)(cid:114)(cid:45)(cid:73)(cid:110)(cid:100)(cid:105)(cid:118)(cid:105)(cid:100)(cid:117)(cid:97)(cid:108)
 (cid:68)(cid:105)(cid:102)(cid:102)(cid:101)(cid:114)(cid:101)(cid:110)(cid:99)(cid:101)(cid:115)(cid:32)(cid:97)(cid:110)(cid:100)(cid:32)(cid:69)(cid:108)(cid:101)(cid:99)(cid:116)(cid:114)(cid:105)(cid:99)(cid:97)(cid:108)(cid:32)(cid:78)(cid:101)(cid:117)(cid:114)(cid:111)(cid:105)(cid:109)(cid:97)(cid:103)(cid:105)(cid:110)(cid:103)
@@ -46761,24 +39722,6 @@ bf39babab5648ff64cc4b79bfec96e8c6c93b812,The Impact of Disappointment in Decisio
 bf05e710dae791f82cc639a09dbe5ec66fed2008,Generating Video Description using Sequence-to-sequence Model with Temporal Attention,"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers,
 pages 44–52, Osaka, Japan, December 11-17 2016."

 bf4ec5068e6ff0b008a09f0c94bfaac290ae7d3b,Co-attention CNNs for Unsupervised Object Co-segmentation,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

-bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,"International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT2012)
-Proceedings published in International Journal of Computer Applications® (IJCA)
-Fusion of Zernike Moments and SIFT Features for
-Improved Face Recognition
-Chandan Singh
-Professor
-Department of Computer
-Science, Punjabi University
-Patiala, India
-Ekta Walia
-Asst. Prof., Department of
-Computer Science, South
-Asian University, New Delhi,
-Neerja Mittal
-Asst. Prof., Department of
-CSE&IT, RBIEBT, Kharar,
-Distt. Mohali, India
-India"

 bf96a0f037e7472e4b6cb1dae192a5fedbbbd88a,Visual Listening In: Extracting Brand Image Portrayed on Social Media,"Visual Listening In: Extracting Brand Image
 Portrayed on Social Media
 Liu Liu
@@ -46891,26 +39834,6 @@ observation[2].
 The biometrics systems provide a more accurate and
 reliable user authentication method.
 Existing user authentication techniques include:"

-44442a26062c20dab7db4a9862349b598efca119,Modelling errors in a biometric re-identification system,"Modeling Errors in a Biometric Re-Identification System
-B. DeCann and A. Ross
-We consider the problem of “re-identification” where a biometric system answers the question “Has this person been encountered before?” without actually
-deducing the person’s identity. Such a system is vital in biometric surveillance applications and applicable to biometric de-duplication. In such a system, identifiers
-re created dynamically as and when the system encounters an input probe. Consequently, multiple probes of the same identity may be mistakenly assigned different
-identifiers, while probes from different identities may be mistakenly assigned the same identifier. In this work, we describe a re-identification system and develop
-terminology as well as mathematical expressions for prediction of matching errors. Further, we demonstrate that the sequential order in which the probes are
-encountered by the system has a great impact on its matching performance. Experimental analysis based on unimodal and multimodal face and fingerprint scores
-onfirms the validity of the designed error prediction model, as well as demonstrates that traditional metrics for biometric recognition fail to accurately characterize
-the error dynamics of a re-identification system.
-Introduction: In a classical biometric system [1], the input probe (query) biometric data is compared against the reference samples (templates) residing
-in the reference database (gallery). Each sample in the reference database is assigned a label, which acts as an identifier (e.g., user-id, name, etc.) that
-relates the reference sample to a specific individual and therefore, the comparison process enables the system to either determine the individual associated
-with the input data (referred to as identification or 1:N matching) or verify whether the input biometric data corresponds to a specific person (referred
-to as verification or 1:1 matching). Labels are assigned to a reference sample during an enrollment phase, when the biometric data of an individual is
-cquired and stored in the reference database. The identifier may be further associated with additional biographic data (e.g., legal name, ID number) to
-link the identifier to an identity.1 Thus, the identification and verification problems address the question: “Who is this person?” or “Is this person who
-they claim to be?”, respectively.
-In this work, we examine a variant of the classical biometric identification system, wherein probe data is input into the system from sensors at
-multiple locations. The objective of the system is to deduce: “Has this person been encountered before?”. A biometric system performing such duties"

 44e3d382ce8d765f705706d40716cb81575281e8,Automatic Parameter Adaptation for Multi-object Tracking,"Automatic Parameter Adaptation for
 Multi-Object Tracking
 Duc Phu CHAU, Monique THONNAT, and Fran¸cois BREMOND
@@ -46960,10 +39883,6 @@ Pedestrian Detectors
 Artur Jord˜ao, Jessica Sena de Souza, William Robson Schwartz
 Smart Surveillance Interest Group, Computer Science Department
 Universidade Federal de Minas Gerais, Minas Gerais, Brazil"

-44dd150b9020b2253107b4a4af3644f0a51718a3,An Analysis of the Sensitivity of Active Shape Models to Initialization When Applied to Automatic Facial Landmarking,"An Analysis of the Sensitivity of Active Shape
-Models to Initialization when Applied to Automatic
-Facial Landmarking
-Keshav Seshadri, Student Member, IEEE and Marios Savvides, Member, IEEE"

 44703dea094eb9558965db9439a07b9a74fd36b5,"Multiculturalism, Colorblindness, and Prejudice: Examining How Diversity Ideologies Impact Intergroup Attitudes","University of Arkansas, Fayetteville
 Theses and Dissertations
 8-2018
@@ -47023,11 +39942,6 @@ Received: 17 November 2008 / Revised: 20 February 2009 / Accepted: 7 July 2009
 © Springer-Verlag London Limited 2009"

 446dc1413e1cfaee0030dc74a3cee49a47386355,Recent Advances in Zero-shot Recognition,"Recent Advances in Zero-shot Recognition
 Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong"

-4421790b8f6b7d44915e030dfec6ececc0f03c2e,Pedestrian Detection in Infrared Video Images,"Pedestrian Detection in Infrared Video Images
-Di Wu 1,2, a *, Wei Liu1,b
-Xi’an Institute of Optics and Precision Mechanics of CAS,Xi ’an 710119,China
-The University of Chinese Academy of Sciences, Beijing 100049, China
-Keywords: pedestrian detection;infrared video images;background subtraction;simple features."

 4461a1b70e461ec298d7066ba103deda48d4ba22,Classification via Minimum Incremental Coding Length,"Vol. 2, No. 2, pp. 367–395
 (cid:2) 2009 Society for Industrial and Applied Mathematics
 Classification via Minimum Incremental Coding Length
@@ -47141,11 +40055,6 @@ resale or redistribution to servers or lists, or to reuse any
 opyrighted component of this work in other works must be
 obtained from the IEEE."

 38d56ddcea01ce99902dd75ad162213cbe4eaab7,Sense Beauty by Label Distribution Learning,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

-38b3cae6ba1b98d6bc6f88d903916dac888cb951,Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification,"Improving Semantic Embedding Consistency by
-Metric Learning for Zero-Shot Classification
-Maxime Bucher1,2, St´ephane Herbin1, Fr´ed´eric Jurie2
-ONERA - The French Aerospace Lab, Palaiseau, France
-Normandie Univ, UNICAEN, ENSICAEN, CNRS"

 38a3611138388490c2cd60dfbf795932d5e55a79,2 D pose estimation in the Restaurant of the Future,"D pose estimation in the Restaurant
 of the Future
 Frederik (Frank) Evers
@@ -47170,32 +40079,6 @@ Supervisor: Mgr. Jan Šochman, Ph.D.
 Field of study: Open Informatics
 Subfield: Computer Vision and Image Processing
 May 2017"

-3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd,ISIA at the ImageCLEF 2017 Image Caption Task,"ISIA at the ImageCLEF 2017 Image Caption Task
-Sisi Liang, Xiangyang Li, Yongqing Zhu, Xue Li, and Shuqiang Jiang
-Key Laboratory of Intelligent Information Processing,
-Institute of Computing Technology Chinese Academy of Sciences,
-No.6 Kexueyuan South Road Zhongguancun, Haidian District, 100190 Beijing, China
-{sisi.liang, xiangyang.li, yongqing.zhu, xue.li,"

-3885cfd634c025c6e27c4db8211d72f54f864f90,Implications of holistic face processing in autism and schizophrenia,"Implications of holistic face processing in autism and
-schizophrenia
-Tamara L. Watson*
-School of Social Science and Psychology, University of Western Sydney, Sydney, NSW, Australia
-REVIEW ARTICLE
-published: 05 July 2013
-doi: 10.3389/fpsyg.2013.00414
-People with autism and schizophrenia have been shown to have a local bias in sensory
-processing and face recognition difficulties. A global or holistic processing strategy is
-known to be important when recognizing faces. Studies investigating face recognition in
-these populations are reviewed and show that holistic processing is employed despite
-lower overall performance in the tasks used. This implies that holistic processing is
-necessary but not sufficient for optimal face recognition and new avenues for research
-into face recognition based on network models of autism and schizophrenia are proposed.
-Keywords: vision, face recognition, autism, schizophrenia, holistic coding, configurational coding
-Edited by:
-Rachel A. Robbins, Univeristy of
-Western Sydney, Australia
-Reviewed by:
-Olivia Carter, University of"

 382f1ebe6009e580949d5513bc298cb253a1eeda,Interpreting Complex Regression Models,"Interpreting Complex Regression Models
 Noa Avigdor-Elgrabli∗, Alex Libov†, Michael Viderman∗, Ran Wolff∗
 Yahoo Research, Haifa, Israel,
@@ -47215,22 +40098,6 @@ Chen Huang, Yining Li, Chen Change Loy, Senior Member, IEEE and Xiaoou Tang, Fel
 386a5c06d334d20227e8b2daf5433a2bef385648,Cross and Learn: Cross-Modal Self-Supervision,"Cross and Learn: Cross-Modal Self-Supervision
 Nawid Sayed1, Biagio Brattoli2, and Bj¨orn Ommer2
 Heidelberg University, HCI / IWR, Germany"

-38ddeb190590b5758eb03924917a5874dbbd3731,A New Multimodal Database for Performance Evaluation in System Level,"A New Multimodal Database for Performance Evaluation in
-System Level
-Mi-young Cho1∗, Young-Sook Jeong1, Hyun-suh Kim2, and Howard Kim2
-Electronics and Telecommunications Research Institute, Daejeon, Korea
-{mycho,
-Color Technology Laboratory, Suwon, Korea
-{hyun,"

-384908bfad5b9e81d605344abcb9e99d8b0f4027,Improving Deep Models of Person Re-identification for Cross-Dataset Usage,"Improving Deep Models of Person Re-identification for
-Cross-Dataset Usage
-Sergey Rodionov1,2, Alexey Potapov1,3, Hugo Latapie4, Enzo Fenoglio4,
-Maxim Peterson2,3
-SingularityNET LLC
-Novamente LLC, USA
-ITMO University, Kronverkskiy pr. 49, 197101 St. Petersburg, Russia
-Chief Technology & Architecture Office, Cisco
-{pas.aicv, astroseger, {hlatapie,"

 3805d47da61527137b6f44b92af3017a2dfe7bd5,Greedy column subset selection for large-scale data sets,"(will be inserted by the editor)
 Greedy Column Subset Selection for Large-scale
 Data Sets
@@ -47240,10 +40107,6 @@ Received: date / Accepted: date"
 380b8df0f340e5bbc3a953c62f9bc573ce073b92,Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph,"Joint Image-Text News Topic Detection and
 Tracking by Multimodal Topic And-Or Graph
 Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu"

-3859dd21b6373bb4b237ddcebf4dc8acacb587e0,Multimodal Face Recognition using Hybrid Correlation Filters,"Multimodal Face Recognition using Hybrid Correlation Filters
-Electrical Engineering Department, Indian Institute of Technology Roorkee, India
-Anamika Dubey, Abhishek Sharma
-{ana.iitr,"

 38a169b6e67ef7768f91fa208c9b5544f6f57f16,Object Bank: An Object-Level Image Representation for High-Level Visual Recognition,"Int J Comput Vis
 DOI 10.1007/s11263-013-0660-x
 Object Bank: An Object-Level Image Representation
@@ -47251,26 +40114,6 @@ for High-Level Visual Recognition
 Li-Jia Li · Hao Su · Yongwhan Lim · Li Fei-Fei
 Received: 2 January 2012 / Accepted: 11 September 2013
 © Springer Science+Business Media New York 2013"

-38f7f3c72e582e116f6f079ec9ae738894785b96,A New Technique for Face Matching after Plastic Surgery in Forensics,"IJARCCE
-ISSN (Online) 2278-1021
-ISSN (Print) 2319 5940
-International Journal of Advanced Research in Computer and Communication Engineering
-Vol. 4, Issue 11, November 2015
-A New Technique for Face Matching after
-Plastic Surgery in Forensics
-Anju Joseph1, Nilu Tressa Thomas2, Neethu C. Sekhar3
-Student, Dept. of CSE, Amal Jyothi College of Engineering, Kanjirappally, India 1,2
-Asst. Professor, Dept. of CSE, Amal Jyothi College of Engineering, Kanjirappally, India 3
-I.  INTRODUCTION
-Facial  recognition  is  one  of  the  most  important    task  that
-forensic  examiners  execute
-their
-investigation. This work focuses on analysing the effect of
-plastic  surgery  in  face  recognition  algorithms.  It  is
-imperative for the subsequent facial recognition systems to
-e  capable  of  addressing  this  significant  issue  and
-ccordingly  there  is  a  need  for  more  research  in  this
-important area."

 38b18585e4bdb78347d44caa561e69a0045ade8d,Differential Attention for Visual Question Answering,"Differential Attention for Visual Question Answering
 Badri Patro, Vinay P. Namboodiri
 IIT Kanpur
@@ -47335,15 +40178,6 @@ Department of Computer Science, University of California, Irvine"
 38f56240c642677f2245aebe94fb846988487570,Mining patterns of orientations and magnitudes for face recognition,"Mining patterns of orientations and magnitudes for face recognition
 Ngoc-Son Vu, Alice Caplier
 Gipsa-lab, Grenoble Institute of Technology"

-38682c7b19831e5d4f58e9bce9716f9c2c29c4e7,Movie Character Identification Using Graph Matching Algorithm,"International Journal of Computer Trends and Technology (IJCTT) – Volume 18 Number 5 – Dec 2014
-Movie Character Identification Using Graph Matching
-Algorithm
-Shaik. Kartheek.*1, A.Srinivasa Reddy*2
-M.Tech Scholar, Dept of CSE, QISCET, ONGOLE, Dist: Prakasam, AP, India.
-Associate Professor, Department of CSE, QISCET, ONGOLE, Dist: Prakasam, AP, India"

-383a58de852715c8544abe60fa64d29fb7ea5688,Inductive Hashing on Manifolds,"Inductive Hashing on Manifolds
-Fumin Shen‡(cid:5)∗ Chunhua Shen(cid:5)† Qinfeng Shi(cid:5) Anton van den Hengel(cid:5) Zhenmin Tang‡
-(cid:5) The University of Adelaide, Australia ‡ Nanjing University of Science and Technology, China"

 3810b6299140bf2c7d6d0cced765c0777d603923,Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?,"Do Deep Features Generalize from Everyday Objects
 to Remote Sensing and Aerial Scenes Domains?
 Ot´avio A. B. Penatti
@@ -47419,18 +40253,6 @@ d0e20aa3d61b77d17f005a1d24d7cf47600836ef,Rethinking Atrous Convolution for Seman
 Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam
 {lcchen, gpapan, fschroff,
 Google Inc."

-d04631e40b237ae29cb8d2bd187b04033580e63b,Multi-cue Based Multi-target Tracking with Boosted MHT,"Multi-cue Based Multi-target Tracking
-with Boosted MHT
-Long Ying1,2, Tianzhu Zhang1,2, Shengsheng Qian1,2, and Changsheng Xu1,2
-Institute of Automation, Chinese Academy of Science, Beijing, China
-China-Singapore Institute of Digital Media, Singapore"

-d014011b24c62d5b689c782c09b89c52970f46e7,"SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation","SRDA: Generating Instance Segmentation
-Annotation Via Scanning, Reasoning And
-Domain Adaptation
-Wenqiang Xu(cid:63), Yonglu Li(cid:63), Cewu Lu
-Department of Computer Science and Engineering,
-Shanghai Jiaotong University
-{vinjohn,yonglu"

 d0a9bbd3bd9dcb62f9874fc1378a7f1a17f44563,Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier,"Hindawi
 Computational Intelligence and Neuroscience
 Volume 2017, Article ID 4263064, 15 pages
@@ -47451,22 +40273,6 @@ original work is properly cited.
 The 𝑘 nearest neighbor is one of the most important and simple procedures for data classification task. The 𝑘NN, as it is called,
 requires only two parameters: the number of𝑘 and a similarity measure. However, the algorithm has some weaknesses that make it
 nalysis and all training dataset is necessary. Another weakness is the optimal choice of 𝑘 parameter when the object analyzed"

-d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,"ZHOU, JIANG, WEI, DONG, WANG: ONLINE MULTI-OBJECT TRACKING WITH SIC
-Online Multi-Object Tracking
-with Structural Invariance Constraint
-Xiao Zhou
-Peilin Jiang
-Zhao Wei
-Hang Dong
-Fei Wang
-National Engineering
-Laboratory for Visual Information
-Processing and Application,
-XJTU, 99 Yanxiang Road,
-Xi’an, Shaanxi 710054, China
-School of Software Engineering,
-XJTU, 28 West Xianning Road,
-Xi’an, Shaanxi 710049, China"

 d01e65591745fc46a3f69a6c9387be17caf55c16,State-Driven Particle Filter for Multi-person Tracking,"State-Driven Particle Filter
 for Multi-Person Tracking
 David Gerónimo1, Frédéric Lerasle2,3, and Antonio M. López1
@@ -47493,13 +40299,6 @@ http://dx.doi.org/10.14257/ijsh.2015.9.1.11
 D Reconstruction
 Xu Yongzhe1 and Byungsoo Lee1
 Department of Computer Engineering, University of Incheon, Korea"

-d0441970a9f19751e6c047b364f580c30bf9754a,Pose-Aware Person Recognition,"Pose-Aware Person Recognition
-Vijay Kumar (cid:63)
-Anoop Namboodiri (cid:63)
-(cid:63) CVIT, IIIT Hyderabad, India
-Manohar Paluri †
-Facebook AI Research
-C. V. Jawahar (cid:63)"

 d00787e215bd74d32d80a6c115c4789214da5edb,Faster and Lighter Online Sparse Dictionary Learning Project report,"Faster and Lighter Online
 Sparse Dictionary Learning
 Project report
@@ -47518,10 +40317,6 @@ Received: 5 January 2018; Accepted: 1 February 2018; Published: 3 February 2018"
 d0a21f94de312a0ff31657fd103d6b29db823caa,Facial Expression Analysis,"Facial Expression Analysis
 Fernando De la Torre and Jeffrey F. Cohn"

 d0de92865a53576af3dd118f4d1fa73be12aee9b,PCANet-II: When PCANet Meets the Second Order Pooling,"PCANet-II:WhenPCANetMeetstheSecondOrderPoolingLeiTian,XiaopengHong"

-d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,"A 3-D Audio-Visual Corpus
-of Affective Communication
-Gabriele Fanelli, Juergen Gall, Harald Romsdorfer, Member, IEEE, Thibaut Weise, and
-Luc Van Gool, Member, IEEE"

 d07e9b04c1480d65e37e44bec3be95fc3206c17b,Combining classifiers for face recognition,- 130-7803-7965-9/03/$17.00 ©2003 IEEEICME 2003(cid:224)

 d02f45670fa6eb1fbac7ed7ed3eaa442579c73b2,Covariance Pooling for Facial Expression Recognition,"Covariance Pooling for Facial Expression Recognition
 Computer Vision Lab, ETH Zurich, Switzerland
@@ -47541,14 +40336,6 @@ Damien Muselet1 & Alain Tr´emeau 1 & Christian Wolf2
 Univ Lyon, UJM, CNRS, Lab Hubert Curien UMR5516, F-42000
 Universite de Lyon, CNRS, France, INSA-Lyon, LIRIS, UMR5205, F-69621"

 d05825a394f11a391c8815f6b0d394cdb4cfaa95,I2T2I: Learning text to image synthesis with textual data augmentation,

-d0b083befa0034bcd4a1349336fb30158157e6d8,A Semantic Distance Based Nearest Neighbor Method for Image Annotation,"A Semantic Distance Based Nearest Neighbor
-Method for Image Annotation
-Wei Wu and Guanglai Gao
-Computer Science Department, Inner Mongolia University, Hohhot, China
-Email: {cswuwei,
-Jianyun Nie
-Department IRO, University of Montreal, Canada
-Email:"

 d02c54192dbd0798b43231efe1159d6b4375ad36,3 D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks,"D Reconstruction and Face Recognition Using Kernel-Based
 ICA and Neural Networks
 Cheng-Jian Lin                  Ya-Tzu Huang
@@ -47650,9 +40437,6 @@ A Novel Characterization of the Alternative Hypothesis
 Using Kernel Discriminant Analysis for
 LLR-Based Speaker Verification
 Yi-Hsiang Chao∗+ , Hsin-Min Wang∗ and Ruei-Chuan Chang∗+"

-5f19b98e5cd22198d25660d609cbd3f4a69c94e7,Combining Head Pose and Eye Location Information for Gaze Estimation,"Combining Head Pose and Eye Location Information
-for Gaze Estimation
-Roberto Valenti, Member, IEEE, Nicu Sebe, Member, IEEE, and Theo Gevers, Member, IEEE"

 5fac23560b5ba4d45045f1edd837ed4bb6c1f5ca,Optimization of a Face Verification System using Bayesian Screening Techniques.,"OPTIMIZATION OF A FACE VERIFICATION SYSTEM
 USING BAYESIAN SCREENING TECHNIQUES
 Raquel Montes Diez, Cristina Conde, Ángel Serrano, Licesio J. Rodríguez-Aragón, Enrique Cabello
@@ -47663,21 +40447,6 @@ C/ Tulipán, s/n. Móstoles E-29833, Madrid, Spain
 {r.montes, cristina.conde, aserranos, ljrodriguez,
 http://frav.escet.urjc.es/
 the  150  most"

-5f871838710a6b408cf647aacb3b198983719c31,Locally Linear Regression for Pose-Invariant Face Recognition,"Locally Linear Regression for Pose-Invariant
-Face Recognition
-Xiujuan Chai, Shiguang Shan, Member, IEEE, Xilin Chen, Member, IEEE, and Wen Gao, Senior Member, IEEE"

-5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively","International Journal of Computer Trends and Technology (IJCTT) – Volume 42 Number 1 – December 2016
-Performance study of Face Recognition
-systems using LBP and ICA descriptors
-with sparse representation - MRLSR and
-KNN Classifiers, respectively
-K Sarath1 and G. Sreenivasulu2
-PG scholar, Department of Electronics and Communication Engineering, SVU College of Engineering,
-Professor, Department of Electronics and Communication Engineering, SVU College of Engineering,
-Tirupathi, India
-Tirupathi, India
-sparse
-representation"

 5f3a513351a75f4eb86dd57e1651e33691c62417,Gender Recognition via Face Area Analysis,

 5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985,Structured Inhomogeneous Density Map Learning for Crowd Counting,"Structured Inhomogeneous Density Map Learning
 for Crowd Counting
@@ -47693,12 +40462,6 @@ FASTTEXT.ZIP:
 COMPRESSING TEXT CLASSIFICATION MODELS
 Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herv´e J´egou & Tomas Mikolov
 Facebook AI Research"

-5f32ba9d85234f20203c31d2dca0793908f825a9,NEURAL NETWORK BASED SUPERVISED SELF,"International Journal on Soft Computing (IJSC) Vol.3, No.3, August 2012
-NEURAL NETWORK BASED SUPERVISED SELF
-ORGANIZING MAPS FOR FACE RECOGNITION
-A.S.Raja1 and V. JosephRaj2
-Research Scholar, Sathyabama University, Jeppiar Nagar, Chennai,Tamil Nadu, India
-Professor, Kamaraj College, Thoothukudi, Tamil Nadu, India"

 5f5906168235613c81ad2129e2431a0e5ef2b6e4,A Unified Framework for Compositional Fitting of Active Appearance Models,"Noname manuscript No.
 (will be inserted by the editor)
 A Unified Framework for Compositional Fitting of
@@ -47748,31 +40511,6 @@ Issue
 Pages"

 5fc621cdef59c38ef898a2adc2b4472a8396119a,Elephant Panda Lion Dolphin Dog Monkey ... ... Classes Elephant Dolphin Lion Classifier Training Data Synthesizing,"Synthesizing Samples for Zero-shot Learning
 IJCAI Anonymous Submission 2625"

-5fc371760fd4c8abe94b91ae2ca03d428ac05faa,Fear-Speci fi c Amygdala Function in Children and Adolescents on the Fragile X Spectrum : A Dosage Response of the FMR 1 Gene,"Cerebral Cortex Advance Access published November 11, 2012
-Cerebral Cortex
-doi:10.1093/cercor/bhs341
-Fear-Specific Amygdala Function in Children and Adolescents on the Fragile X Spectrum:
-A Dosage Response of the FMR1 Gene
-So-Yeon Kim1, Jessica Burris1, Frederick Bassal1, Kami Koldewyn5, Sumantra Chattarji6, Flora Tassone2, David Hessl2,3 and
-Susan M. Rivera1,2,4
-Center for Mind and Brain, University of California, Davis, CA 95618, USA, 2MIND Institute, University of California, Davis, CA
-95817, USA, 3Department of Psychiatry and Behavioral Sciences, University of California, Davis, CA 95817, USA, 4Department of
-Psychology, University of California, Davis, CA 95616, USA, 5McGovern Institute for Brain Research, MIT, MA 02139, USA and
-6National Center for Biological Sciences, Bangalore 560065, India
-Address correspondence to Susan M. Rivera, Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA 95618,
-USA. Email:
-Mutations of the fragile X mental retardation 1 (FMR1) gene are the
-genetic cause of fragile X syndrome (FXS). The presence of signifi-
-ant socioemotional problems has been well documented in FXS
-lthough the brain basis of those deficits remains unspecified. Here,
-we investigated amygdala dysfunction and its relation to socioemo-
-tional deficits and FMR1 gene expression in children and adoles-
-ents on the FX spectrum (i.e., individuals whose trinucleotide CGG"

-5f7a5ba79ad2c4aa7762470a3c7b59001e2f0de0,Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,"Part-Level Convolutional Neural Networks for
-Pedestrian Detection Using Saliency and Boundary
-Box Alignment
-Inyong Yun, Cheolkon Jung, Member, IEEE, Xinran Wang, Alfred O Hero, Fellow, IEEE, and Joongkyu
-Kim, Member, IEEE"

 5f96af88dfef2bff4ed8a49ceca909efb701d1d5,Addressing the Dark Side of Vision Research: Storage,"Addressing the Dark Side of Vision Research: Storage
 Vishakha Gupta-Cledat
 Intel Labs
@@ -47780,16 +40518,6 @@ Luis Remis
 Intel Labs
 Christina R. Strong
 Intel Labs"

-5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c,Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,"Multiple Facial Attributes Estimation based on
-Weighted Heterogeneous Learning
-H.Fukui* T.Yamashita* Y.Kato* R.Matsui*
-T. Ogata** Y.Yamauchi* H.Fujiyoshi*
-*Chubu University
-**Abeja Inc.
-200, Matuoto-cho, Kasugai,
--1-20, Toranomon, Minato-ku,
-Aichi, Japan
-Tokyo, Japan"

 5fc664202208aaf01c9b62da5dfdcd71fdadab29,Automatic Face Recognition from Video,rXiv:1504.05308v1  [cs.CV]  21 Apr 2015

 5f58bf2c25826cb6ee927a1461aa72bd623157ff,Tasting Families of Features for Image Classification,"ICCV 2011 Submission #549. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 Tasting Families of Features for Image Classification
@@ -47817,9 +40545,6 @@ UESTC
 Jian Cheng
 UESTC
 haijun"

-5f107c92dd1c3f294b53627a5de1c7c46d996994,Complex Eye Movement Pattern Biometrics: The Effects of Environment and Stimulus,"Complex Eye Movement Pattern Biometrics:
-The Effects of Environment and Stimulus
-Corey D. Holland, Student Member, IEEE and Oleg V. Komogortsev, Member, IEEE"

 5fa1724a79a9f7090c54925f6ac52f1697d6b570,The Development of Multimodal Lexical Resources,"Proceedings of the Workshop on Grammar and Lexicon: Interactions and Interfaces,
 pages 41–47, Osaka, Japan, December 11 2016."

 5fa587381a9e4308163b3a5395985f0375c3cf7d,Deep Extreme Cut: From Extreme Points to Object Segmentation,"Deep Extreme Cut: From Extreme Points to Object Segmentation
@@ -47830,61 +40555,14 @@ L. Van Gool
 Figure 1. Example results of DEXTR: The user provides the extreme clicks for an object, and the CNN produces the segmented masks."

 5f534bacc658f620a15b5647adecb0ea813286c8,Reliable object detection and segmentation using inpainting,"Reliable Object Detection and Segmentation using Inpainting
 Ji Hoon Joung, M. S. Ryoo, Sunglok Choi, and Sung-Rak Kim"

-5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,"International Journal of Computer Applications (0975 – 8887)
-Volume 21– No.3, May 2011
-Morphological Primitive Patterns with Grain Components
-on LDP for Child and Adult Age Classification
-B.Sujatha
-Dr.V.Vijaya Kumar
-Associate Professor
-G.I.E.T, Rajahmundry
-Dean, Dept. of Comp. Sciences
-Head, SRRF-G.I.E.T
-JNTUK,Kakinada
-Andhra Pradesh, India
-Rajahmundry
-Andhra Pradesh, India
-M.Rama Bai
-Associate Professor
-M.G.I.T, JNTUH
-Hyderabad
-Andhra Pradesh, India"

-5fc15baee1383d502775fab8ee91d56f4875429c,Factorial Discriminant Analysis for 3 D Face Recognition System using SVM Classifier,"International Journal of Computer Applications (0975 – 8887)
-International Conference on Information and Communication Technologies (ICICT-2014)
-Factorial Discriminant Analysis for
-D Face Recognition System using SVM Classifier
-P. S. Hiremath
-Department of P. G. Studies and Research in
-Computer Science,
-Gulbarga University, Gulbarga-585106
-Karnataka, India
-turned"

 5fcde9236d654a0f92a76c1a3f07c0cad954985c,Personality-Dependent Referring Expression Generation,"Personality-dependent Referring Expression Generation
 Ivandr´e Paraboni, Danielle Sampaio Monteiro, and Alex Gwo Jen Lan
 University of S˜ao Paulo, School of Arts, Sciences and Humanities, S˜ao Paulo, Brazil"

-5ff64afd70434b12e043ff39a91271eab6391124,Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters,"Article
-Building Extraction in Very High Resolution
-nd Guided Filters
-Yongyang Xu 1 ID , Liang Wu 1,2, Zhong Xie 1,2,* and Zhanlong Chen 1
-Department of Information Engineering, China University of Geosciences, Wuhan 430074, China;
-(Y.X.); (L.W.); (Z.C.)
-National Engineering Research Center of Geographic Information System, Wuhan 430074, China
-* Correspondence:
-Received: 19 December 2017; Accepted: 16 January 2018; Published: 19 January 2018"

 5f5164cf998a10d2bef37741adb562ab07fac413,A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2545669, IEEE
 Transactions on Pattern Analysis and Machine Intelligence
 A Comprehensive Study on Cross-View Gait Based
 Human Identification with Deep CNNs
 Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, and Tieniu Tan"

-5f7ae1e13c00bb58856374b9888f1ddf73c6865e,Gender classification using face image and voice,"IOSR Journal of Computer Engineering (IOSR-JCE)
-e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 5, Ver. V (Sep. – Oct. 2015), PP 20-25
-www.iosrjournals.org
-Gender classification using face image and voice
-Dharamraj yadav1 Shashwat Shukla2 & Bramah Hazela2
-Dept.of Computer Science & Engineering  Amity School of Engineering & Technology Amity University,
-Lucknow campus, India
-Dept.of Computer Science & Engineering  Amity School of Engineering & Technology Amity University,
-Lucknow campus, India"

 d904f945c1506e7b51b19c99c632ef13f340ef4c,0 ° 15 ° 30 ° 45 ° 60 ° 75 ° 90 °,"A scalable 3D HOG model for fast object detection and viewpoint estimation
 Marco Pedersoli
 Tinne Tuytelaars
@@ -48010,16 +40688,6 @@ Department of Electronics & Communication Engineering, MNNIT, Allahabad"
 d929534024614e3153c986e55d758ea7471d3fff,How Not to Evaluate a Developmental System,"How Not to Evaluate a Developmental System
 Frederick Shic and Brian Scassellati"

 d9bc16dcbc13502389704e4a0bdd8ee7af618069,Learning pullback HMM distances for action recognition,Learning pullback HMM distances for action recognition

-d950af49c44bc5d9f4a5cc1634e606004790b1e5,Divide and Fuse: A Re-ranking Approach for Person Re-identification,"YU ET AL.: DIVIDE AND FUSE: A RE-RANKING APPROACH FOR PERSON RE-ID
-Divide and Fuse: A Re-ranking Approach for
-Person Re-identification
-Huazhong University of Science and
-Technology
-Wuhan, China
-Rui Yu
-Zhichao Zhou
-Song Bai
-Xiang Bai ∗"

 d94b37958657aa703d8a3d02a66ee251b4c3f597,Learning deep features from body and parts for person re-identification in camera networks,"Zhang and Si EURASIP Journal on Wireless Communications and
 Networking  (2018) 2018:52
 https://doi.org/10.1186/s13638-018-1060-2
@@ -48071,17 +40739,6 @@ Carlos Herranz-Perdiguero1 and Roberto J. L´opez-Sastre1"
 d97e7799142e2c66b63fe63bc52632fdf305f313,Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction,"Lanczos Vectors versus Singular Vectors for
 Effective Dimension Reduction
 Jie Chen and Yousef Saad"

-d9327b9621a97244d351b5b93e057f159f24a21e,Laplacian smoothing transform for face recognition,"SCIENCE CHINA
-Information Sciences
-. RESEARCH PAPERS .
-December 2010 Vol. 53 No. 12: 2415–2428
-doi: 10.1007/s11432-010-4099-1
-Laplacian smoothing transform for face recognition
-GU SuiCheng, TAN Ying
-& HE XinGui
-Key Laboratory of Machine Perception (MOE); Department of Machine Intelligence,
-School of Electronics Engineering and Computer Science; Peking University, Beijing 100871, China
-Received March 16, 2009; accepted April 1, 2010"

 d914c53cdf26acc64259d381fbd45c4e150633ee,Pedestrian Tracking in the Compressed Domain Using Thermal Images,"Pedestrian Tracking in the Compressed Domain
 Using Thermal Images
 Ichraf Lahouli1,2,3, Robby Haelterman1, Zied Chtourou2, Geert De Cubber1,
@@ -48117,34 +40774,6 @@ Kariapatti.
 Kariapatti.
 Mr.D.Prince Winston
 Aruppukottai."

-d9bfc8095bfa604d90e1cb8c878ab844c2f89464,Kinship through Imaging,"International Journal of Application or Innovation in Engineering & Management (IJAIEM)
-Web Site: www.ijaiem.org Email:
-ISSN 2319 - 4847
-Volume 03, Issue 09, September 2014
-Kinship through Imaging
-Chaitali Deshmukh1, Prof. S.D.Jondhale2
-¹Department of Computer Engineering, PG Student, SVIT, Chincholi, Nashik, University of Pune, India
-²Department of Computer Engineering, Professor, SVIT, Chincholi, Nashik , University of Pune, India"

-d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,"Australian Journal of Basic and Applied Sciences, 9(21) Special 2015, Pages: 1-6
-ISSN:1991-8178
-Australian Journal of Basic and Applied Sciences
-Journal home page: www.ajbasweb.com
-A Novel Approach for Facial Expression Analysis in real time applications using SIFT
-flow and SVM
-K. Suganya Devi and 2P. Srinivasan
-Department of Computer Science and Engineering, University college of Engg Panruti, Panruti 607106, Tamilnadu, India
-Department of Physics, University college of Engg Panruti, Panruti 607106, Tamilnadu, India
-A R T I C L E   I N F O
-Article history:
-Article Received : 12 January 2015
-Revised: 1 May 2015
-Accepted:  8 May 2015
-Keywords:
-Expression  recognition,  Facial  region
-selection,  Facial  expression,  Sparse
-learning  technique,  Scale  Invariant
-Feature Transform flow, SVM
-A B S T R A C T"

 d930ec59b87004fd172721f6684963e00137745f,Face Pose Estimation using a Tree of Boosted Classifiers,"Face Pose Estimation using a
 Tree of Boosted Classifiers
 Javier Cruz Mota
@@ -48160,17 +40789,6 @@ Fraunhofer IOSB, Karlsruhe, Germany
 Karlsruhe Institute of Technology KIT, Vision and Fusion Lab, Karlsruhe, Germany
 Keywords:
 Instance Segmentation, Multi-Scale Analysis, Foveated Imaging, Cityscapes."

-d9318c7259e394b3060b424eb6feca0f71219179,Face Matching and Retrieval Using Soft Biometrics,"Face Matching and Retrieval Using Soft Biometrics
-Unsang Park, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

-d9ef1a80738bbdd35655c320761f95ee609b8f49,A Research-Face Recognition by Using Near Set Theory,"Volume 5, Issue 4, 2015                                     ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-A Research - Face Recognition by Using Near Set Theory
-Manisha V. Borkar, Bhakti Kurhade
-Department of Computer Science and  Engineering
-Abha Gaikwad -Patil College of  Engineering, Nagpur, Maharashtra, India"

 9679d15c6699b521740408b2e899c03af89390ac,ARTICULATED BODY TRACKING AND HUMAN ACTION ANALYSIS,"DIMENSIONALITY REDUCTION FOR 3D
 ARTICULATED BODY TRACKING AND HUMAN
 ACTION ANALYSIS
@@ -48191,10 +40809,6 @@ eISSN 2092-805X
 Region-Based Facial Expression Recognition in
 Still Images
 Gawed M. Nagi*, Rahmita Rahmat*, Fatimah Khalid* and Muhamad Taufik*"

-96fc93175169b788acd98f0a676dffab00651cbc,On Matching Faces with Alterations due to Plastic Surgery and Disguise,"On Matching Faces with Alterations due to Plastic Surgery and Disguise
-Saksham Suri1, Anush Sankaran2, Mayank Vatsa1, Richa Singh1
-IIIT - Delhi, India 2IBM Research, Bengaluru, India
-{saksham15082, mayank,"

 96dfa2a7630fc6800ba8a546df526b8174f54b5c,Appearance-Based Facial Recognition Using Visible and Thermal Imagery : A Comparative Study ∗,"Appearance-Based Facial Recognition Using Visible and Thermal
 Imagery: A Comparative Study ∗
 Andrea Selinger†
@@ -48219,15 +40833,6 @@ Received: 11 November 2011 / Accepted: 11 May 2013 / Published online: 19 June 2
 Nisarg Raval, Ashwin Machanavajjhala, and Jerry Pan
 Olympus: Sensor Privacy through Utility Aware
 Obfuscation"

-9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc,Emotion Based Music Player,"International Journal of Engineering Research and General Science Volume 3, Issue 1,  January-February, 2015
-ISSN 2091-2730
-Emotion Based Music Player
-Hafeez Kabani1, Sharik Khan2, Omar Khan3, Shabana Tadvi4
-Department of Computer Science and Engineering
-Department of Computer Science and Engineering
-Department of Computer Science and Engineering
-Asst. Professor, Department of Computer Science and Engineering
-M.H Saboo Siddik College of Engineering, University of Mumbai, India"

 964e43f4983a42ef3790c265bdce42c1fce56d79,A virtual environment tool for benchmarking face analysis systems,"A Virtual Environment Tool for Benchmarking Face
 Analysis Systems
 Mauricio Correa+,*, Javier Ruiz-del-Solar+,*, Rodrigo Verschae*
@@ -48291,23 +40896,6 @@ CCS Concepts: •Computing methodologies →Scene understanding; Natural languag
 Additional Key Words and Phrases: saliency, visual saliency prediction, image captioning, deep learning."

 96f0da034d090a3ecadd0fb92333bb681f23ab14,Temporal-Spatial Mapping for Action Recognition,"Temporal-Spatial Mapping for Action Recognition
 Xiaolin Song, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jingyu Yang, and Xiaoyan Sun"

-9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,"International Journal of Computer Applications (0975 – 8887)
-Volume 61– No.10, January 2013
-Techniques of Facial Synthesis: A
-Comprehensive Literature Review
-Deepti Chandra
-Shri Shankaracharya College
-of Engg. & Technology,  Bhilai,
-Chhattisgarh, India
-Sanjeev  Karmakar
-Bhilai Institute of Technology (BIT)
-Chhattisgarh, Durg 491001, India
-Rajendra  Hegadi
-Pragati College of Engg. &
-Management
-Raipur,Chhattisgarh, India
-realism
--the  synthesized"

 96788880589a514c3ae9de29695c0127d6e76b8f,Attention-Based Multimodal Fusion for Video Description,"Attention-Based Multimodal Fusion for Video Description
 Chiori Hori
 Takaaki Hori
@@ -48337,29 +40925,6 @@ detection algorithm identifies potential scenes containing
 visitors. Using a neural-network-based face detector,1
 Argus extracts faces from these images. A memory-based
 face recognition system2 examines these faces and at-"

-96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,"U.P.B. Sci. Bull., Series C, Vol. 75, Iss. 4, 2013                                                   ISSN 2286 – 3540
-A COMPUTER VISION APPROACH FOR THE EYE
-ACCESSING CUE MODEL USED IN NEURO-LINGUISTIC
-PROGRAMMING
-Ruxandra VRÂNCEANU1, Laura FLOREA2, Corneliu FLOREA3
-This paper investigates the Eye Accessing Cue (EAC) model used in Neuro-
-Linguistic Programming (NLP) and shows how image processing techniques can be
-used to improve the interpretation of this model. An experiment was carried out to
-validate the model by inducing certain eye cues using a set of questions. A simple
-nd  efficient  method  is  proposed  for  automatically  locating  the  eyes  and  the
-orrespondent  EAC.  The  relative  position  between  the  iris  and  the  sclera  is
-determined  using  a  fast  mechanism,  based  on  the  analysis  of  integral  projections
-inside the bounding box of the eye.
-Keywords: Neuro-Linguistic Programming, Eye Detection, Eye Gaze
-. Introduction
-The progress made in image processing and the increase of computational
-apabilities  of  machines  over  the  past  decades  has  led  to  new  opportunities  for
-human-computer  interactions  and  to  the  development  of  systems  capable  of
-utomatically  interpreting  the  facial  attributes  of  a  person.  Such  algorithms  are
-used  in  the  field  of  people  identification  and  description,  in  applications  that"

-96d6e0bf752c42ede0170e9b332ca390ac75cd1f,Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition,"018 24th International Conference on Pattern Recognition (ICPR)
-Beijing, China, August 20-24, 2018
-978-1-5386-3787-6/18/$31.00 ©2018 European Union"

 9606b1c88b891d433927b1f841dce44b8d3af066,Principal Component Analysis with Tensor Train Subspace,"Principal Component Analysis with Tensor Train
 Subspace
 Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron"

@@ -48389,10 +40954,6 @@ Misalignment
 Liansheng Zhuang · Tsung-Han Chan ·
 Allen Y. Yang · S. Shankar Sastry · Yi Ma
 Received: date / Accepted: date"

-9603b3a4649fd217752972909d627bde8e0a5023,Spectral Hashing With Semantically Consistent Graph for Image Indexing,"Spectral Hashing With Semantically
-Consistent Graph for Image Indexing
-Peng Li, Meng Wang, Member, IEEE, Jian Cheng, Member, IEEE, Changsheng Xu, Senior Member, IEEE, and
-Hanqing Lu, Senior Member, IEEE"

 a726858df7c9503116504206577a938df1a67815,Unsupervised Vehicle Re-Identification using Triplet Networks,"Unsupervised Vehicle Re-Identification using Triplet Networks
 Pedro Antonio Mar´ın-Reyes
 Andrea Palazzi
@@ -48408,33 +40969,6 @@ University of Las Palmas de Gran Canaria
 University of Modena and Reggio Emilia"

 a7eee3222623778294461102d0dc770d4e09a7c5,A novel fusion-based method for expression-invariant gender classification,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE
 ICASSP 2009"

-a758b744a6d6962f1ddce6f0d04292a0b5cf8e07,"Study on Human Face Recognition under Invariant Pose , Illumination and Expression using LBP , LoG and SVM","ISSN XXXX XXXX © 2017 IJESC
-Research Article                                                                                                                              Volume 7 Issue No.4
-Study on Human Face Recognition under Invariant Pose, Illumination
-nd Expression using LBP, LoG and SVM
-Amrutha
-Depart ment of Co mputer Science & Engineering
-Mangalore Institute of Technology & Engineering , Moodabidri, Mangalore, India
-INTRODUCTION
-RELATED WORK
-Abstrac t:
-Face  recognition  system  uses  human  face  for  the  identification  of  the   user.  Face  recognition  is  a  difficu lt  task  there  is  no  unique
-method  that  provide  accurate  an  accurate  and  effic ient  solution  in  all  the  situations  like  the  face  image  with  differen t  pose ,
-illu mination  and  exp ression.  Local  Binary  Pattern  (LBP)  and  Laplac ian  of  Gaussian  (Lo G)  operators.  Support  Vector  Machine
-lassifier  is  used  to  recognize  the  human  face.  The  Lo G  algorith m  is  used  to preprocess the  image  to  detect  the  edges of  the  face
-image to get the image information. The  LBP operator divides the face  image into several blocks to generate the features informat ion
-on  pixe l  level  by  creating  LBP  labels  for  all  the  blocks  of  image  is  obtained  by  concatenating  all  the  individual  local  histo grams.
-Support Vector Machine classifier  (SVM )  is used to classify t he image. The a lgorith m performances is verified under the constraints
-like illu mination, e xp ression and pose variation
-Ke ywor ds:  Face  Recognition,  Local  Binary  Pattern,  Laplac ian  of  Gaussian,  histogram,  illu mination,  pose  angle,  exp ression
-variations, SVM ."

-a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,"International Journal of Scientific Research Engineering & Technology (IJSRET)
-Volume 2 Issue 10   pp 659-664 January 2014
-www.ijsret.org            ISSN 2278 – 0882
-Literature Survey for Face Detection under Illumination Variation
-J.SHYNU, P.KANNAN
-PG Scholar Department of ECE, PET Engineering College, India
-Professor Department of ECE, PET Engineering College, India"

 a71106ef95103276fac010c10291f6dd6fd9d9f5,Social status level and dimension interactively influence person evaluations indexed by P300s.,"ISSN: 1747-0919 (Print) 1747-0927 (Online) Journal homepage: http://www.tandfonline.com/loi/psns20
 Social status level and dimension interactively
 influence person evaluations indexed by P300s
@@ -48471,15 +41005,6 @@ Sandra Ebert
 Dipl.-Inform.
 orn in Leipzig, Germany
 Saarbrücken, 2012"

-a775da3e6e6ea64bffab7f9baf665528644c7ed3,Human Face Pose Estimation based on Feature Extraction Points,"International Journal of Computer Applications (0975 – 8887)
-Volume 142 – No.9, May 2016
-Human Face Pose Estimation based on Feature
-Extraction Points
-Guneet Bhullar
-Research scholar,
-Department of ECE
-SBSSTC, Moga Road,
-Ferozepur, Punjab, India"

 a7e8ce268c16ea8c10e4c5ccd8d6e53702423faa,The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment,"The Ciona17 Dataset for Semantic Segmentation
 of Invasive Species in a Marine Aquaculture Environment
 Angus Galloway∗, Graham W. Taylor∗, Aaron Ramsay†, Medhat Moussa∗
@@ -48493,15 +41018,6 @@ Montague, PEI, Canada"
 a7066c13ba21817abcf8ff955740493adf95b02c,Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks,"Points2Pix: 3D Point-Cloud to Image Translation
 using conditional Generative Adversarial Networks
 Stefan Milz 1 * Martin Simon 1 * Kai Fischer 1 * Maximillian Poepperl 1"

-a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,"Fuzzy Neural Networks(FNN)-based Approach for
-Personalized Facial Expression Recognition with
-Novel Feature Selection Method
-Dae-Jin Kim and Zeungnam Bien
-Div. of EE, Dept. of EECS, KAIST
-73-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea
-Kwang-Hyun Park
-Human-friendly Welfare Robotic System Engineering Research Center, KAIST
-73-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea"

 a7e78f80e0e37d0c17bc09058c27996e32e4454e,UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones,"Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 977–984
 New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics"

 a76d471a409904c084746a56334453450f1c6c1a,Study of the Changing Trends in Facial Expression Recognition,"Study of the Changing Trends in Facial Expression Recognition
@@ -48514,12 +41030,6 @@ Authors:
 Dr. S. Ravi
 Mahima S
 10.5120/2509-3397"

-a77e9f0bd205a7733431a6d1028f09f57f9f73b0,Multimodal feature fusion for CNN-based gait recognition: an empirical comparison,"Multimodal feature fusion for CNN-based gait recognition: an
-empirical comparison
-F.M. Castroa,, M.J. Mar´ın-Jim´enezb, N. Guila, N. P´erez de la Blancac
-Department of Computer Architecture, University of Malaga, Spain, 29071
-Department of Computing and Numerical Analysis, University of Cordoba, Spain, 14071
-Department of Computer Science and Artificial Intelligence, University of Granada, Spain, 18071"

 a73a16203b644353a287a4759bc951450e67d700,BodyNet: Volumetric Inference of 3D Human Body Shapes,"BodyNet: Volumetric Inference of
 D Human Body Shapes
 G¨ul Varol1,*
@@ -48557,9 +41067,6 @@ ontribution has been peer-reviewed. The double-blind peer-review was conducted o
 a7bfb6426359140a0bc0c84741ad9a3ac83eff04,Object-Level Context Modeling For Scene Classification with Context-CNN,"Object-Level Context Modeling For Scene Classification with Context-CNN
 Syed Ashar Javed1 and Anil Kumar Nelakanti2
 IIIT Hyderabad, 2Amazon"

-a7fe834a0af614ce6b50dc093132b031dd9a856b,Orientation Driven Bag of Appearances for Person Re-identification,"Orientation Driven Bag of Appearances for Person
-Re-identification
-Liqian Ma, Hong Liu†, Member, IEEE, Liang Hu, Can Wang, Qianru Sun"

 a75db530b5a905c87aba6b65676809b35f9614f5,Dynamic Eye Gaze Tracking for Foveated Rendering and Retinal Blur,"Dynamic Eye Gaze Tracking for Foveated Rendering and Retinal Blur
 Kushagr Gupta, Suleman Kazi, Terry Kong"

 a73bc57fb0aa429ba5f7f12b6d02e2c6274cabdd,A Superior Tracking Approach: Building a Strong Tracker through Fusion,"A Superior Tracking Approach:
@@ -48583,10 +41090,6 @@ PortSaid University
 Mansoura University
 Zagazig University"

 a7664247a37a89c74d0e1a1606a99119cffc41d4,Modal Consistency based Pre-Trained Multi-Model Reuse,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

-a77e0db38ed7ad95a3bca95fea72048985c54508,DART: Distribution Aware Retinal Transform for Event-based Cameras,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-DART: Distribution Aware Retinal Transform for
-Event-based Cameras
-Bharath Ramesh*, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, and Cheng Xiang, Member, IEEE"

 a70fa8af52e4cc32dae09e6e753f1dd3ec198327,Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer,"Neural Task Representations as Weak Supervision for Model Agnostic
 Cross-Lingual Transfer
 Sujay Kumar Jauhar
@@ -48809,13 +41312,6 @@ output after calibration using our network. As shown, using the mis-calibrated p
 of the world results in an incoherent reconstruction. Notice how the 3D structures highlighted in (c) using red rectangles
 fail to project to their 2D counterparts. However, using the extrinsic calibration parameters predicted by CalibNet produces
 more consistent and accurate reconstructions (d), even for large initial mis-calibrations."

-5af5802cc6128bafbde1ae12e0ab41612aee9e3b,An object tracking method using extreme learning machine with online learning,"An Object Tracking Method Using Extreme
-Learning Machine with Online Learning
-Yuanlong Yu, Liyan Xie, and Zhiyong Huang
-College of Mathematics and Computer Science
-Fuzhou University
-Fuzhou, Fujian, 350116, China
-Emails: hzy"

 5a93f9084e59cb9730a498ff602a8c8703e5d8a5,Face Recognition using Local Quantized Patterns,"HUSSAIN ET. AL: FACE RECOGNITION USING LOCAL QUANTIZED PATTERNS
 Face Recognition using Local Quantized
 Patterns
@@ -48885,10 +41381,6 @@ Wenguan Wang, and Jianbing Shen, Senior Member, IEEE, and Ling Shao, Senior Memb
 5acfacbe8bf93ab1ee17bd6f65667abe0d6e1b5e,Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach,"Where Should We Place LiDARs on the Autonomous Vehicle?
 - An Optimal Design Approach
 Zuxin Liu1 , Mansur Arief2 and Ding Zhao2,∗"

-5a7520380d9960ff3b4f5f0fe526a00f63791e99,The Indian Spontaneous Expression Database for Emotion Recognition,"The Indian Spontaneous Expression
-Database for Emotion Recognition
-S L Happy, Student Member, IEEE, Priyadarshi Patnaik, Aurobinda Routray, Member, IEEE,
-nd Rajlakshmi Guha"

 5ab9f00a707a55f4955b378981ad425aa1cb8ea3,Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XX, NO. YY, NOVEMBER 2018
 Forecasting People Trajectories and Head Poses
 y Jointly Reasoning on Tracklets and Vislets
@@ -48923,9 +41415,6 @@ Parisutham Institute of Technology & Science
 Thanjavur.
 Affiliated to Anna university, Chennai
 recognition  can  be  used"

-5a34a9bb264a2594c02b5f46b038aa1ec3389072,Label-Embedding for Image Classification,"Label-Embedding for Image Classification
-Zeynep Akata, Member, IEEE, Florent Perronnin, Member, IEEE, Zaid Harchaoui, Member, IEEE,
-nd Cordelia Schmid, Fellow, IEEE"

 185360fe1d024a3313042805ee201a75eac50131,Person De-Identification in Videos,"Person De-Identification in Videos
 Prachi Agrawal and P. J. Narayanan"

 182df40034d937c74df0edb0acb295088e63f1ed,University of Michigan North Campus long-term vision and lidar dataset,"University of Michigan North Campus
@@ -49042,9 +41531,6 @@ left or right, i.e., I(cid:48)
 l and
 r are multiples of I(cid:48)
 I(cid:48)"

-1886b6d9c303135c5fbdc33e5f401e7fc4da6da4,Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs,"Knowledge Guided Disambiguation for Large-Scale
-Scene Classification with Multi-Resolution CNNs
-Limin Wang, Sheng Guo, Weilin Huang, Member, IEEE, Yuanjun Xiong, and Yu Qiao, Senior Member, IEEE"

 1819d9a9099dafc987dd236c2174945e7922be13,Eigenfeature Regularization and Extraction in Face Recognition,"Eigenfeature Regularization and Extraction
 in Face Recognition
 Xudong Jiang, Senior Member, IEEE, Bappaditya Mandal, and Alex Kot, Fellow, IEEE"

@@ -49097,10 +41583,6 @@ MIT Media Lab 75 Amherst St. Cambridge, MA 02139
 Timnit Gebru
 Microsoft Research 641 Avenue of the Americas, New York, NY 10011
 Editors: Sorelle A. Friedler and Christo Wilson"

-18c4a0e82fdddda2530b7281ad567abc0373a89f,Principal Coefficients Embedding: Theory and Algorithm,"IEEE TRANSACTIONS ON CYBERNETICS
-Automatic Subspace Learning via Principal
-Coefficients Embedding
-Xi Peng, Jiwen Lu, Senior Member, IEEE, Zhang Yi, Fellow, IEEE and Rui Yan, Member, IEEE,"

 18d7684c6b96caf51adb519738720eceb1b13050,Hidden Relationships: Bayesian Estimation With Partial Knowledge,"Hidden Relationships:
 Bayesian Estimation with Partial Knowledge
 Tomer Michaeli and Yonina C. Eldar, Senior Member, IEEE
@@ -49132,9 +41614,6 @@ Dept. of Computer Science
 Autonomous University of Barcelona
 08193 Bellaterra, Barcelona, Spain
 {dvazquez, jiaolong, sramosp, antonio,"

-18727c3f4ada0cec9e5914340cc672d0554d7784,"3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model","D face detection, landmark localization and
-registration using a Point Distribution Model
-Prathap Nair*, Student Member, IEEE, and Andrea Cavallaro, Member, IEEE"

 1806665f9571bbdcf654f3bdf5e009bcb8eac799,Markov random field terrain classification for autonomous robots in unstructured terrain,"Fachbereich 4: Informatik
 Arbeitsgruppe
 Aktives Sehen
@@ -49185,12 +41664,6 @@ Croatian Telecom, Savska 32, Zagreb, Croatia, e-mail:
 University of Zagreb, FER, Unska 3/XII, Zagreb, Croatia
 implementations
 in  all  possible  algorithm"

-18233c55982050292ba7f6a5462c0e7576c3398d,Face Recognition using Eye Distance and PCA Approaches,"Face Recognition using Eye Distance and PCA
-Approaches
-Ripal Patel , Nidhi Rathod , Ami Shah , Mayur Sevak
-Electronics & Telecommunication Department,
-BVM Engineering College.
-Vallabh Vidyanagar-388120, Gujarat, India"

 1885acea0d24e7b953485f78ec57b2f04e946eaf,Combining Local and Global Features for 3D Face Tracking,"Combining Local and Global Features for 3D Face Tracking
 Pengfei Xiong, Guoqing Li, Yuhang Sun
 Megvii (face++) Research
@@ -49207,19 +41680,6 @@ ISPGroup, ELEN Department, ICTEAM Institute
 Universit´e catholique de Louvain
 Louvain-la-Neuve, B-1348, Belgium
 {amit.kc,"

-18a4399b8afb460cbd4de2225f39ed23a95336d6,HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-HMS-Net: Hierarchical Multi-scale
-Sparsity-invariant Network for Sparse Depth
-Completion
-Zixuan Huang, Junming Fan, Shuai Yi, Xiaogang Wang, Senior Member, IEEE,
-Hongsheng Li, Member, IEEE"

-18cd79f3c93b74d856bff6da92bfc87be1109f80,An Application to Human Face Photo-sketch Synthesis and Recognition,"International Journal of Advances in Engineering & Technology, May 2012.
-©IJAET                                                                                                          ISSN: 2231-1963
-AN APPLICATION TO HUMAN FACE PHOTO-SKETCH
-SYNTHESIS AND RECOGNITION
-Amit R. Sharma and 2Prakash. R. Devale
-Student and 2Professor & Head,
-Department of Information Tech., Bharti Vidyapeeth Deemed University, Pune, India"

 189fa973bc09cf3f3416e875fc853c3c489edeb0,Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks,"Multimodal Trajectory Predictions for Autonomous
 Driving using Deep Convolutional Networks
 Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin,
@@ -49240,21 +41700,6 @@ Eva Cerezo • Isabelle Hupont • Sandra Baldassarri •
 Sergio Ballano
 Received: 3 February 2011 / Accepted: 24 September 2011 / Published online: 30 October 2011
 Ó Springer-Verlag 2011"

-18c72175ddbb7d5956d180b65a96005c100f6014,From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 23, NO. 6,
-JUNE 2001
-From Few to Many: Illumination Cone
-Models for Face Recognition under
-Variable Lighting and Pose
-Athinodoros S. Georghiades, Student Member, IEEE, Peter N. Belhumeur, Member, IEEE, and
-David J. Kriegman, Senior Member, IEEE"

-18aae0f20fdc6aab093c72c81005247d2cbc8512,Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination,"Bayesian CP Factorization of Incomplete
-Tensors with Automatic Rank Determination
-Qibin Zhao, Member, IEEE, Liqing Zhang, Member, IEEE, and Andrzej Cichocki Fellow, IEEE"

-18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,"Sentic Blending:
-Scalable Multimodal Fusion for the Continuous
-Interpretation of Semantics and Sentics
-Erik Cambria, Member, IEEE, Newton Howard, Member, IEEE,
-Jane Hsu, Member, IEEE, and Amir Hussain, Senior Member, IEEE"

 18a849b1f336e3c3b7c0ee311c9ccde582d7214f,"Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling","Int J Comput Vis
 DOI 10.1007/s11263-012-0564-1
 Efficiently Scaling up Crowdsourced Video Annotation
@@ -49268,20 +41713,6 @@ Edouard Oyallon,1,4,5 Eugene Belilovsky,2 Sergey Zagoruyko,3 Michal Valko4
 CentraleSupelec, Universit´e Paris-Saclay
 MILA, University of Montreal
 WILLOW – Inria Paris, 4SequeL – Inria Lille, 5GALEN – Inria Saclay"

-189355bff03076cc5bddaa11239626051931144d,Learning Representations for Automatic Colorization,"Learning Representations for Automatic Colorization
-Gustav Larsson1, Michael Maire2, and Gregory Shakhnarovich2
-University of Chicago
-Toyota Technological Institute at Chicago"

-18d4210a5bb56e92045ef0637208685abaaca6a5,GIANT: geo-informative attributes for location recognition and exploration,"GIANT: Geo-Informative Attributes for
-locatioN recogniTion and exploration
-National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China
-China-Singapore Institute of Digital Media, Singapore, 139951, Singapore
-Quan Fang1,2, Jitao Sang1,2, Changsheng Xu1,2
-{qfang, jtsang,"

-183ad3409a53914247affc599b33af38d94937be,A Latent-Variable Lattice Model,"An Inertial Latent-Variable Sequence Model
-Rajasekaran Masatran
-Indian Institute of Technology Madras, Chennai, TN, India
-MASATRAN AT FREESHELL.ORG"

 85188c77f3b2de3a45f7d4f709b6ea79e36bd0d9,"Combined model for detecting , localizing , interpreting and recognizing faces","Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille :
 France (2008)"""

 85387549277d6131dc8596ffacc7a21aeee0c6d1,Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks,"Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial
@@ -49330,14 +41761,6 @@ Robots
 F. Gaisser
 BioMechanical Enginering"

 856b8576999517c0cb7d95aef0159432604a8447,The 19 th Meeting on Image Recognition and Understanding Weighted Heterogeneous Learning for Deep Convolutional Neural Network Based Facial Image Analysis,The 19th Meeting on Image Recognition and Understanding

-8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using BOV Approach,"Signal & Image Processing : An International Journal (SIPIJ) Vol.4, No.6, December 2013
-VOCABULARY LENGTH EXPERIMENTS FOR BINARY
-IMAGE CLASSIFICATION USING BOV APPROACH
-S.P.Vimal1, Eshaan Puri2 and P.K.Thiruvikiraman3
-,2Department of Computer Science and Information Systems
-Birla Institute of Technology and Science, Pilani, Rajasthan, India
-Department of Physics,  Birla Institute of Technology and Science,
-Hyderabad Campus, Andra Pradesh, India"

 8558ea46c8f7e56c57073b27408c6638e81293f0,Morphable crowds,

 85955fe6cdf4f9f35fc9eab6cc4fccbb819e68a1,3D Face Reconstruction by Learning from Synthetic Data,"D Face Reconstruction by Learning from Synthetic Data
 Elad Richardson*
@@ -49348,14 +41771,6 @@ Department of Computer Science, Technion - Israel Institute of Technology"
 Autonomous Vehicles that Interact with Pedestrians:
 A Survey of Theory and Practice
 Amir Rasouli and John K. Tsotsos"

-8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition Systema Comprehensive Review,"IOSR Journal of Computer Engineering (IOSR-JCE)
-e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 15, Issue 5 (Nov. - Dec. 2013), PP 01-12
-www.iosrjournals.org
-Techniques for Face Detection & Recognition System-
-Comprehensive Review
-Vandana S.Bhat1, Dr. J. D. Pujari2
-Department of Information Science & Engineering, SDMCET, Dharwad, INDIA
-Department of Information Science & Engineering, SDMCET, Dharwad, INDIA"

 85fd2bda5eb3afe68a5a78c30297064aec1361f6,"Are You Smiling, or Have I Seen You Before? Familiarity Makes Faces Look Happier.","702003 PSSXXX10.1177/0956797617702003Carr et al.Are You Smiling, or Have I Seen You Before?
 research-article2017
 Research Article
@@ -49386,30 +41801,9 @@ CNRS, UMR5516, Laboratoire Hubert
 Curien, F-42000, Saint-Etienne, France,
 Université de Saint-Etienne, Jean Mon-
 net, F-42000, Saint-Etienne, France."

-851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,"Volume 3, Issue 10, October 2013                                    ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-Multiview Graphical Models for Tracking Occluded Objects
-Bharath
-Student,
-Dept.of CSE,
-Jntuk, Kakinada, India
-Smt. D.Neelima
-Asst.Professor,
-Dept.of CSE,
-Jntuk, Kakinada, India"

 858901405086056361f8f1839c2f3d65fc86a748,ON TENSOR TUCKER DECOMPOSITION : THE CASE FOR AN ADJUSTABLE CORE SIZE,"ON TENSOR TUCKER DECOMPOSITION: THE CASE FOR AN
 ADJUSTABLE CORE SIZE
 BILIAN CHEN ∗, ZHENING LI † , AND SHUZHONG ZHANG ‡"

-85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,"Big Data Processing With Application to Image Super-Resolution
-Xiangjun Meng & Baiqing Diao
-State Grid Shandong Electric Power Company, Jinan, China
-Lipeng Zhu
-China Electric Power Research Institute, Nanjing, China
-Guangwei Gao & Song Deng
-Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"

 858ddff549ae0a3094c747fb1f26aa72821374ec,"Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications","Survey on RGB, 3D, Thermal, and Multimodal
 Approaches for Facial Expression Recognition:
 History, Trends, and Affect-related Applications
@@ -49445,12 +41839,6 @@ Kamel Saidi
 Will Shackleford
 This publication is available free of charge from:
 http://dx.doi.org/10.6028/NIST.IR.8045"

-8569fc88a3d1ac8b873872becb2ee8bc01dc73bc,Deep-Person: Learning Discriminative Deep Features for Person Re-Identification,"Deep-Person: Learning Discriminative Deep Features
-for Person Re-Identification
-Xiang Bai, Mingkun Yang, Tengteng Huang,
-Zhiyong Dou, Rui Yu, Yongchao Xu∗
-School of Electronic Information and Communications, Huazhong University of Science and
-Technology (HUST), Wuhan, 430074, China"

 8566231abd7e5bc71ee0bc0da84b8d76ce07a501,On The Stability of Video Detection and Tracking,"On The Stability of Video Detection and Tracking
 Hong Zhang
 Chinese University of Hong Kong
@@ -49460,26 +41848,6 @@ TuSimple LLC"
 George D. C. Cavalcanti1s2 and Edson C. B. Cawalho Filho’
 ’ UFPE-Universidade  Federal de Pemambuco, 50732-970, Recife, PE, Brad
 FIR-Faculdade  Integrada do Recife 50720-635 Recife, PE, Brad"

-858555b6f4663fe083d6c81a2671c9cd8130bbf3,Object Discovery via Cohesion Measurement,"Object Discovery via Cohesion Measurement
-Guanjun Guo, Hanzi Wang*, Senior Member, IEEE, Wan-Lei Zhao,
-Yan Yan, Member, IEEE, Xuelong Li, Fellow, IEEE"

-853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,"International Journal of Computer Applications (0975 – 8887)
-Volume 96– No.4, June 20143
-Comparison of Multi-View Face Recognition using DCT
-nd Hybrid DWT of Score Fusion under Uncontrolled
-Illumination Variation
-Manisha J Kasar
-M.Tech Student (CE)
-Computer Department, MPSTME
-NMIMS, Shirpur, Dist :Dhule, Maharashtra,
-India
-Nitin S.Choubey
-P.hd (Computer)
-Computer Department, MPSTME
-NMIMS, Shirpur, Dist :Dhule, Maharashtra,
-India
-is  one  of
-for  matching.  First,"

 8575adafc04a7915bd71c3733e379577da0c4406,Sistema tutor afectivo para la enseñanza de lógica algorítmica y programación,"Sistema tutor afectivo para la enseñanza de lógica
 lgorítmica y programación
 Ramón Zatarain-Cabada1, María Lucia Barrón-Estrada1,
@@ -49505,10 +41873,6 @@ PA-GAN: IMPROVING GAN TRAINING BY
 PROGRESSIVE AUGMENTATION
 Anonymous authors
 Paper under double-blind review"

-854dbb4a0048007a49df84e3f56124d387588d99,Spatial-Temporal Recurrent Neural Network for Emotion Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
-Spatial-Temporal Recurrent Neural Network for
-Emotion Recognition
-Tong Zhang, Wenming Zheng*, Member, IEEE, Zhen Cui*, Yuan Zong and Yang Li"

 85401b669a989da15bb3d2b37d4598c21d9d061b,"The effect of intranasal oxytocin versus placebo treatment on the autonomic responses to human sounds in autism: a single-blind, randomized, placebo-controlled, crossover design study","Lin et al. Molecular Autism 2014, 5:20
 http://www.molecularautism.com/content/5/1/20
 Open Access
@@ -49642,21 +42006,12 @@ Google Brain Toronto"
 35308a3fd49d4f33bdbd35fefee39e39fe6b30b7,Efficient and effective human action recognition in video through motion boundary description with a compact set of trajectories,"biblio.ugent.be   The UGent Institutional Repository is the electronic archiving and dissemination platform for allUGent research publications. Ghent University has implemented a mandate stipulating that allacademic publications of UGent researchers should be deposited and archived in this repository.Except for items where current copyright restrictions apply, these papers are available in OpenAccess.   This item is the archived peer-reviewed author-version of:   Efficient and effective human action recognition in video through motion boundary description witha compact set of trajectories   Jeong-Jik Seo, Jisoo Son, Hyung-Il Kim, Wesley De Neve, and Yong Man Ro   In: 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition,1, 1-6, 2015.     To refer to or to cite this work, please use the citation to the published version:   Seo, J., Son, J., Kim, H., De Neve, W., and Ro, Y. M. (2015). Efficient and effective human actionrecognition in video through motion boundary description with a compact set of trajectories. 11thIEEE International Conference and Workshops on Automatic Face and Gesture Recognition 1 1-6.http://dx.doi.org/10.1109/FG.2015.7163123"

 35800a537017803dd08274710388734db66b54f0,Sliced Wasserstein Generative Models,"Sliced Wasserstein Generative Models
 Jiqing Wu * 1 Zhiwu Huang * 1 Wen Li 1 Janine Thoma 1 Luc Van Gool 1 2"

-3514140d9c2e692abed0aebe0531f78c250f5806,Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering,"Discriminative Transformation Learning for Fuzzy
-Sparse Subspace Clustering
-Zaidao Wen, Biao Hou, Member, IEEE, Qian Wu and Licheng Jiao, Senior Member, IEEE"

 3596c23a0f13c36d2c71c4cba4351363954dd02a,PathFinder : An autonomous mobile robot guided by Computer Vision,"PathFinder: An autonomous mobile robot guided by Computer
 Vision
 Andre R. de Geus1,2, Marcelo H. Stoppa1, Sergio F. da Silva1,2
 Modeling and Optimization Program, Federal University of Goias, Catalao, Goias, Brazil
 Biotechnology Institute, Federal University of Goias, Catalao, Goias, Brazil
 Email:"

-3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,"International Journal of Advanced Computer Technology (IJACT)
-ISSN:2319-7900
-Feature Extraction and Face Recognition through Neural
-Network
-Sanjay Kumar Dekate,Research scholar, Dr. C. V. Raman University, Bilaspur, India
-Dr. Anupam Shukla,Professor, ABV-IIITM, Gwalior, India"

 357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd,O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S,"Under review as a conference paper at ICLR 2015
 OBJECT DETECTORS EMERGE IN DEEP SCENE CNNS
 Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba
@@ -49691,10 +42046,6 @@ Zoe Bichler3
 Bioinformatics Institute, A*STAR, Singapore
 Institute of Molecular and Cell Biology, A*STAR, Singapore
 National Neuroscience Institute, Singapore"

-35c0220ab8a8281129a00ac32ef2f488fb562eb7,Part Annotations via Pairwise Correspondence,"Part Annotations via Pairwise Correspondence
-Subhransu Maji Gregory Shakhnarovich
-{smaji,
-Toyota Technological Institute at Chicago, Chicago, IL"

 35035f79256a3f19a111fff34df6d14876d83fab,Satyam: Democratizing Groundtruth for Machine Vision,"SATYAM: DEMOCRATIZING GROUNDTRUTH FOR MACHINE VISION
 Hang Qiu?, Krishna Chintalapudi†, Ramesh Govindan?"

 35794480e556b946c82d498ce868fa62235befa7,Real-Time Detection and Tracking of Multiple Humans from High Bird's-Eye Views in the Visual and Infrared Spectrum,"Real-Time Detection and Tracking of Multiple
@@ -49703,11 +42054,6 @@ Visual and Infrared Spectrum
 Julius K¨ummerle, Timo Hinzmann,
 Anurag Sai Vempati and Roland Siegwart
 Autonomous Systems Lab, ETH Zurich"

-35e0256b33212ddad2db548484c595334f15b4da,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,"Attentive Fashion Grammar Network for
-Fashion Landmark Detection and Clothing Category Classification
-Wenguan Wang∗1,2, Yuanlu Xu∗2, Jianbing Shen†1, and Song-Chun Zhu2
-Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China
-Department of Computer Science and Statistics, University of California, Los Angeles, USA"

 35fd6c9f2e651259ee565475f88faeb523511d4e,On the Performance of Kernel Methods for Skin Color Segmentation,"Hindawi Publishing Corporation
 EURASIP Journal on Advances in Signal Processing
 Volume 2009, Article ID 856039, 13 pages
@@ -49728,9 +42074,6 @@ Specifically, binary Support Vector Classifier (two-class SVM) and one-class N
 in some example images or in limited databases. We hypothesize that comparative performance evaluation on a representative
 pplication-oriented database will allow us to determine whether proposed kernel methods exhibit significant better performance
 than conventional skin segmentation methods. Two image databases were acquired for a webcam-based face recognition"

-35184b2891ca17a8b1e5fe45b319336d00a2a4c9,Video Person Re-Identification by Temporal Residual Learning,"Video Person Re-identification by Temporal
-Residual Learning
-Ju Dai∗, Pingping Zhang∗, Huchuan Lu, Senior Member, IEEE, and Hongyu Wang, Member, IEEE"

 35e855b0c1af4cc7bf62a8eb459c949776fbe7ee,Local Features and Kernels for Classification of Texture and Object Categories : An In-Depth Study,"INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
 Local Features and Kernels for Classi(cid:2)cation of
 Texture and Object Categories: An In-Depth Study
@@ -49749,10 +42092,6 @@ Singh, Matteo Cella, Michel Valstar, Hongying Meng, Andrew Kemp, Moshen Shafizad
 C. Elkins, Natalie Kanakam, Amschel de Rothschild, Nick Tyler, Paul J. Watson, Amanda C. de C.
 Williams, Maja Pantic, and Nadia Bianchi-Berthouze*
 face  videos,  head  mounted  and  room  audio  signals,"

-354ddc8976a762ee03fb78b73adc3b5312e5f2a5,Accurate Eye Center Location through Invariant Isocentric Patterns,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
-Accurate Eye Center Location through Invariant
-Isocentric Patterns
-Roberto Valenti, Student Member, IEEE, and Theo Gevers, Member, IEEE,"

 35197862aed9a73415bdaea2fb8ad29d66675604,Mixture of SVMs for Face Class Modeling,"Mixture of SVMs for Face Class Modeling
 Julien Meynet1, Vlad Popovici, and Jean-Philippe Thiran
 Signal Processing Institute, Swiss Federal Institute of Technology Lausanne,
@@ -49803,40 +42142,10 @@ Georgia Inst. Of Technology
 Atlanta, CA"

 351de1f7862bd13a82fcfcaa698b4efd53bc2c35,Automatic 3D face verification from range data,- 1930-7803-7663-3/03/$17.00 ©2003 IEEEICASSP 2003(cid:224)

 35fe83665c61adb513781c7208b92706ae2a1578,Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions,

-357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,"October 5th 2016: This version corrects some of the results for the ISAAC-PE and ISAAC-SE configurations.
-ISAAC: A Convolutional Neural Network
-Accelerator with In-Situ Analog Arithmetic in
-Crossbars
-Ali Shafiee∗, Anirban Nag∗, Naveen Muralimanohar†, Rajeev Balasubramonian∗,
-John Paul Strachan†, Miao Hu†, R. Stanley Williams†, Vivek Srikumar∗
-School of Computing, University of Utah, Salt Lake City, Utah, USA
-Email: {shafiee, anirban, rajeev,
-Hewlett Packard Labs, Palo Alto, California, USA
-Email: {naveen.muralimanohar, john-paul.strachan, miao.hu,"

 3506ef7168e07840187ec978b47f3a05a753101d,Robust 3D Face Landmark Localization Based on Local Coordinate Coding,"Robust 3D Face Landmark Localization based on
 Local Coordinate Coding
 Mingli Song, Senior Member, IEEE, Dacheng Tao, Senior Member, IEEE, Shengpeng Sun, Chun Chen, and
 Stephen J. Maybank Fellow, IEEE,"

-3535ba0cba9bf03443d52cbfc9a87090ca2e5d49,Supplementary Material : Synthesized Classifiers for Zero-Shot Learning,"Supplementary Material:
-Synthesized Classifiers for Zero-Shot Learning
-Soravit Changpinyo∗, Wei-Lun Chao∗
-U. of Southern California
-Los Angeles, CA
-Boqing Gong
-U. of Central Florida
-Orlando, FL
-schangpi,
-Fei Sha
-U. of California
-Los Angeles, CA
-In this Supplementary Material, we provide details
-omitted in the main text.
-• Section 1: cross-validation strategies (Section 3.2
-of the main paper).
-• Section 2: learning metrics for semantic similarity
-(Section 3.1 of the main paper).
-• Section 3: details on experimental setup (Sec-
-tion 4.1 of the main paper)."

 35e87e06cf19908855a16ede8c79a0d3d7687b5c,Strategies for MultiView Face Recognition for Identification of Human Faces : A Review,"Strategies for Multi-View Face Recognition for
 Identification of Human Faces: A Review
 Pritesh G. Shah
@@ -49903,10 +42212,6 @@ Full Terms & Conditions of access and use can be found at
 http://www.tandfonline.com/action/journalInformation?journalCode=pqje20
 Download by: [Rachel Bennetts]
 Date: 22 March 2016, At: 07:06"

-351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd,ActionSnapping: Motion-Based Video Synchronization,"ActionSnapping: Motion-based Video
-Synchronization
-Jean-Charles Bazin and Alexander Sorkine-Hornung
-Disney Research"

 353480b21d5745590db5f70b016a27e25f5b9aec,Cross-Modal and Hierarchical Modeling of Video and Text,"Cross-Modal and Hierarchical Modeling of Video
 nd Text
 Bowen Zhang(cid:63)1, Hexiang Hu(cid:63)1, and Fei Sha2
@@ -49919,9 +42224,6 @@ Mouna Kacimi
 Gerhard Weikum
 MPI–I–2011–5–002
 May 2011"

-35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,"A Study on Gait-Based Gender Classification
-Shiqi Yu, Member, IEEE, Tieniu Tan, Fellow, IEEE,
-Kaiqi Huang, Member, IEEE, Kui Jia, and Xinyu Wu"

 3504907a2e3c81d78e9dfe71c93ac145b1318f9c,An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks,"Noname manuscript No.
 (will be inserted by the editor)
 Unconstrained Still/Video-Based Face Verification with Deep
@@ -49951,10 +42253,6 @@ Plzeˇn, Czech Republic
 Faculty of Applied Sciences
 University of West Bohemia
 Plzeˇn, Czech Republic"

-35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,"Multi-Target Tracking by
-Discrete-Continuous Energy Minimization
-Anton Milan, Member, IEEE, Konrad Schindler, Senior Member, IEEE and
-Stefan Roth, Member, IEEE,"

 53078a5692d493685fd2d63abf297a39b2edb36d,Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking,"Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
 Filip Radenovi´c1 Ahmet Iscen1 Giorgos Tolias1 Yannis Avrithis2 Ondˇrej Chum1
 VRG, FEE, CTU in Prague
@@ -49988,11 +42286,6 @@ Kumar Krishna Agrawal∗
 Pabitra Mitra
 {arnavkj95, abhinavagarawalla, kumarkrishna,
 Indian Institute of Technology Kharagpur"

-533bfb82c54f261e6a2b7ed7d31a2fd679c56d18,Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection,"Technical Report MSU-CSE-14-1
-Unconstrained Face Recognition: Identifying a
-Person of Interest from a Media Collection
-Lacey Best-Rowden, Hu Han, Member, IEEE, Charles Otto, Brendan Klare, Member, IEEE, and
-Anil K. Jain, Fellow, IEEE"

 53bed2d3d75c4320ad5af4a85e31bf92e3c704ef,Reinforced Video Captioning with Entailment Rewards,"Reinforced Video Captioning with Entailment Rewards
 Ramakanth Pasunuru and Mohit Bansal
 UNC Chapel Hill
@@ -50032,18 +42325,6 @@ Ramin Irani, Kamal Nasrollahi, and Thomas B. Moeslund
 Visual Analysis of People (VAP) Laboratory
 Rendsburggade 14, 9000 Aalborg, Denmark
 {ri, kn,"

-538a9230ddc14b8a5d3f5f195aac4ec43e37d16f,Joint Holistic and Partial CNN for Pedestrian Detection,"YUN ZHAO et al.: JOINT HOLISTIC AND PARTIAL CNN FOR PEDESTRIAN DETECTION 1
-Joint Holistic and Partial CNN for Pedestrian
-Detection
-Yun Zhao1
-Zejian Yuan*1
-Hui Zhang2
-Institute of Artificial Intelligence and
-Robotics
-Xi’an Jiaotong University
-Xi’an, China
-Shenzhen Forward Innovation
-Digital Technology Co. Ltd. China"

 5345822a30293c9989fd1ec19b5a2da96956347b,Acoustic-labial Speaker Verication 1,"Acoustic(cid:0)Labial Speaker Veri(cid:1)cation 

 P(cid:0) Jourlin a
 (cid:0)
@@ -50064,9 +42345,6 @@ School of Engineering
 Department of Applied Signal Processing
 Supervisor:  Mr. Tommaso Gritti, PHILIPS RESEARCH, Eindhoven, Netherlands
 Examiner:    Mr. Mikael Nilsson"

-532c80d296a5852703a33c03824f4199e44f96a7,Fast Rigid 3D Registration Solution: A Simple Method Free of SVD and Eigen-Decomposition,"Fast Rigid 3D Registration Solution: A Simple
-Method Free of SVD and Eigen-Decomposition
-Jin Wu, Member, IEEE, Ming Liu, Member, IEEE, Zebo Zhou and Rui Li, Member, IEEE"

 5367610430dc0380dfbe8344e08537267875968c,Tracking 3 D Surfaces Using Multiple Cameras : A Probabilistic Approach,"Tracking 3D Surfaces Using
 Multiple Cameras: A
 Probabilistic Approach
@@ -50125,9 +42403,6 @@ Aditya Khosla
 Akhil S. Raju
 Antonio Torralba
 Aude Oliva"

-53facd4da5f1d1f98f876211421957f5fbe8a29a,The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds,"The Mesh-LBP: A Framework for Extracting Local
-Binary Patterns From Discrete Manifolds
-Naoufel Werghi, Member, IEEE, Stefano Berretti, Member, IEEE, and Alberto del Bimbo, Member, IEEE"

 535919a5ffa0f214df2ad39e80015ecba174a10d,k-fold Subsampling based Sequential Backward Feature Elimination,

 5366573e96a1dadfcd4fd592f83017e378a0e185,"Server, server in the cloud. Who is the fairest in the crowd?","Böhlen, Chandola and Salunkhe
 Server, server in the cloud.
@@ -50152,26 +42427,6 @@ Zagreb, HR-10000, Croatia
 Email:
 Email:
 Email:"

-53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,"Word Channel Based Multiscale Pedestrian Detection
-Without Image Resizing and Using Only One Classifier
-Arthur Daniel Costea       and       Sergiu Nedevschi
-Image Processing and Pattern Recognition Group  (http://cv.utcluj.ro)
-Computer Science Department, Technical University of Cluj-Napoca, Romania
-{arthur.costea,
-pedestrian or non-pedestrian based on image features. The
-image features should capture the required information for
-lassification, while allowing fast computation.
-Previous  object  detection  approaches  use  a  fixed  size
-sliding window and resize the image [8] or use a fixed size
-image  and  resize  the  sliding  window  [29].  When  using
-multiple  sliding  window  scales,  individual  classifiers  are
-trained  for  different  scales.  In  this  paper  we  propose  a
-solution to pedestrian detection that does not require image
-resizing and uses only one classifier for all sliding window
-scales. The proposed approach introduces the use of word
-hannels,  inspired  from  codebook  based  semantic  image
-nnotation techniques for extracting classification features.
-. Related work"

 539b66c91f41719ef94f50e6d42ab470f2a2702c,Agreeing to cross: How drivers and pedestrians communicate,"Agreeing To Cross: How Drivers and Pedestrians Communicate*
 Amir Rasouli, Iuliia Kotseruba and John K. Tsotsos1"

 53822d61e829ef02a95a6c89fea082114fd3e16b,A General Framework for Tracking Multiple People from a Moving Camera,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
@@ -50179,13 +42434,6 @@ IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 A General Framework for Tracking Multiple
 People from a Moving Camera
 Wongun Choi, Caroline Pantofaru, Silvio Savarese"

-536d1f74c6543afcf2bc711befd82ac7886d1c33,Fusing Shearlets and LBP Feature Sets for Face Recognition,"ISSN 1746-7659, England, UK
-Journal of Information and Computing Science
-Vol. 10, No. 1, 2015, pp. 029-039
-Fusing Shearlets and LBP Feature Sets for Face Recognition
-Zhiyong Zeng 1
-Faculty of Software, Fujian Normal University, Fuzhou, 350108, China
-(Received October  07, 2014, accepted December 24, 2014)"

 53819049f41998a5a1587dfccccc2db8612b45af,Deep Semantic Lane Segmentation for Mapless Driving,"018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
 Madrid, Spain, October 1-5, 2018
 978-1-5386-8093-3/18/$31.00 ©2018 IEEE"

@@ -50213,11 +42461,6 @@ Published online: 8 October 2015
 53f981cb6f1cf19b08255c571d62cc1073fd792b,Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios,"Deconvolutional Networks for Point-Cloud Vehicle Detection
 nd Tracking in Driving Scenarios
 V´ıctor Vaquero∗, Ivan del Pino∗, Francesc Moreno-Noguer, Joan Sol`a, Alberto Sanfeliu and Juan Andrade-Cetto"

-896e2776174dcb86d311789ab83a266151d0595b,A Novel Performance Evaluation Methodology for Single-Target Trackers,"A Novel Performance Evaluation Methodology
-for Single-Target Trackers
-Matej Kristan, Member, IEEE, Jiri Matas, Aleˇs Leonardis, Member, IEEE, Tom´aˇs Voj´ıˇr,
-Roman Pflugfelder, Gustavo Fern´andez, Georg Nebehay, Fatih Porikli and
-Luka ˇCehovin Member, IEEE,"

 89742f28108330f97df94df98f73b459b02ca33d,Query Specific Semantic Signature for Improved Web Image Re-Ranking Joshith,"International Journal of Engineering and Technical Research (IJETR)
 ISSN: 2321-0869, Volume-3, Issue-3, March 2015
 Query Specific Semantic Signature for Improved
@@ -50311,26 +42554,6 @@ No Author Given
 No Institute Given"

 8961677300a9ee30ca51e1a3cf9815b4a162265b,Deep Representation Learning with Part Loss for Person Re-Identification,"Deep Representation Learning with Part Loss for Person Re-Identification
 Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian"

-89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,"Volume 5, Issue 10, October-2015                                       ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-Robust Multimodal Biometrics Recognition: A Review
-Sangramsing Kayte
-Jaypalsing N. Kayte
-Dr. Charansing Kayte
-Suvarnsing G. Bhable
-Department of Computer
-Science & IT
-Science & IT
-Computer Science & IT
-Department of Computer
-Department of
-Assistant Professor
-Department of Digital
-nd Cyber Forensic,
-Aurangabad,"

 890103cb8d3d869298421da817d0a181487ec79a,Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization,"Learning the Hierarchical Parts of Objects by Deep
 Non-Smooth Nonnegative Matrix Factorization
 Jinshi Yu, Guoxu Zhou, Andrzej Cichocki
@@ -50365,10 +42588,6 @@ Powered by the California Digital Library
 University of California"

 894f1e924dfb8dfb843c42835fa79e386ac07383,Dimensional emotion recognition using visual and textual cues,"Dimensional emotion recognition using visual and textual cues
 Pedro M. Ferreira1, Diogo Pernes2, Kelwin Fernandes1, Ana Rebelo3 and Jaime S. Cardoso1"

-89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,"Automatic Analysis of Facial Expressions Based on
-Deep Covariance Trajectories
-Naima Otberdout, Member, IEEE, Anis Kacem, Member, IEEE, Mohamed Daoudi, Senior, IEEE,
-Lahoucine Ballihi, Member, IEEE, and Stefano Berretti, Senior, IEEE"

 89ef75b43bc329f21fd3e81d36235d4824478831,A real-time Deep Learning pedestrian detector for robot navigation,"A Real-Time Deep Learning Pedestrian Detector for Robot Navigation
 David Ribeiro, Andr´e Mateus, Pedro Miraldo, and Jacinto C. Nascimento
 Instituto de Sistemas e Rob´otica, Instituto Superior T´ecnico, Universidade de Lisboa, Lisboa, Portugal"

@@ -50385,26 +42604,6 @@ A. Elhayek C. Stoll K. I. Kim and C. Theobalt
 Max-Planck-Institute for Informatics, Saarbrücken, Germany
 Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and two moving and 3 static
 ameras (Soccer1). (Right two images) One actor, and three moving and two static cameras (Walk2)."

-894fa98257c0b9a1cb0388ecf56f3bcaa85dd3ff,Cognitive Effects of Mindfulness Training: Results of a Pilot Study Based on a Theory Driven Approach,"ORIGINAL RESEARCH
-published: 12 July 2016
-doi: 10.3389/fpsyg.2016.01037
-Cognitive Effects of Mindfulness
-Training: Results of a Pilot Study
-Based on a Theory Driven Approach
-Lena Wimmer *, Silja Bellingrath and Lisa von Stockhausen
-Department of Psychology, University of Duisburg-Essen, Essen, Germany
-The present paper reports a pilot study which tested cognitive effects of mindfulness
-practice in a theory-driven approach. Thirty-four fifth graders received either a
-mindfulness training which was based on the mindfulness-based stress reduction
-pproach (experimental group), a concentration training (active control group), or no
-treatment (passive control group). Based on the operational definition of mindfulness by
-Bishop et al. (2004), effects on sustained attention, cognitive flexibility, cognitive inhibition,
-nd data-driven as opposed to schema-based information processing were predicted.
-These abilities were assessed in a pre-post design by means of a vigilance test, a
-reversible figures test, the Wisconsin Card Sorting Test, a Stroop test, a visual search
-task, and a recognition task of prototypical faces. Results suggest that the mindfulness
-training specifically improved cognitive inhibition and data-driven information processing.
-Keywords: mindfulness, attention, cognition, meditation, cognitive flexibility, cognitive inhibition, children, school"

 89ed007d1dc8cd26033e71dfad7698c835b7336f,"Statistical modeling, level-set and ensemble learning for automatic segmentation of 3D high-frequency ultrasound data : towards expedited quantitative ultrasound in lymph nodes from cancer patients. (Modélisation statistique, méthodes d'ensemble de niveaux et apprentissage automatique pour la segmen","Statistical modeling, level-set and ensemble learning for
 utomatic segmentation of 3D high-frequency
 ultrasound data : towards expedited quantitative
@@ -50506,14 +42705,6 @@ social network, account, Sensor Pattern Noise, identity, linking, digital image
 89e324b9c64a800e57ad82eddecc03f2cc0b7cc5,Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.,"Long-Term Identity-Aware Multi-Person Tracking
 for Surveillance Video Summarization
 Shoou-I Yu, Yi Yang, Xuanchong Li, and Alexander G. Hauptmann"

-d22785eae6b7503cb16402514fd5bd9571511654,Evaluating Facial Expressions with Different Occlusion around Image Sequence,"Evaluating Facial Expressions with Different
-Occlusion around Image Sequence
-Ankita Vyas, Ramchand Hablani
-Department of Computer Science
-Sanghvi Institute of Management & Science
-Indore (MP), India
-local
-INTRODUCTION"

 d2b86b6dc93631990e21a12278e77f002fb4b116,Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification,"Aalborg Universitet
 Attention in Multimodal Neural Networks for Person Re-identification
 Lejbølle, Aske Rasch; Krogh, Benjamin; Nasrollahi, Kamal; Moeslund, Thomas B.
@@ -50585,13 +42776,6 @@ Keywords:
 Convolution Neural Network
 Ear Recognition
 Uniform Illumination Invariant"

-d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291,Facial surface reconstruction in 3 D format,"Journal of Theoretical and Applied Computer Science
-ISSN 2299-2634
-Vol. 6, No. 4, 2012, pp. 37-50
-http://www.jtacs.org
-Facial surface reconstruction in 3D format
-Nadezhda Shchegoleva
-Department of Mathematical Computer Software, Saint Petersburg Electrotechnical University (LETI), Russia"

 d2518b01092160cecec2e986935b0129b0bbff45,Looking around the Backyard Helps to Recognize Handwritten Digits Anonymous CVPR submission Paper ID 2611,"#2611
 CVPR 2008 Submission #2611. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 #2611
@@ -50641,26 +42825,6 @@ d24a7a7ceb2ddce42ac64d1d07ccebc2a55ed053,A Bayesian Architecture for Combining S
 Dashan Gao and Nuno Vasconcelos
 SVCL-TR 2005/01
 June 2005"

-d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,"Learning From Less Data: Diversified Subset Selection and
-Active Learning in Image Classification Tasks
-Vishal Kaushal
-IIT Bombay
-Mumbai, Maharashtra, India
-Khoshrav Doctor
-AITOE Labs
-Mumbai, Maharashtra, India
-Suyash Shetty
-AITOE Labs
-Mumbai, Maharashtra, India
-Rishabh Iyer
-AITOE Labs
-Seattle, Washington, USA
-Anurag Sahoo
-AITOE Labs
-Seattle, Washington, USA
-Narsimha Raju
-IIT Bombay
-Mumbai, Maharashtra, India"

 d24a30ed78b749f3730e25dcef89472dd5fb439c,Improving Face Recognition Performance Using a Hierarchical Bayesian Model,"Improving Face Recognition
 Performance Using a Hierarchical
 Bayesian Model
@@ -50688,12 +42852,6 @@ d2f254780699bafff02eafc92e00822ee597c864,A comparative evaluation of global repr
 for Face Verification
 S. Cruz-Llanas, J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodriguez
 Biometrics Research Lab. – Universidad Politecnica de Madrid"

-d252e10024a22c8274ae67dbf37aa854d75a85f2,Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces,"Joint Gender Classification and Age Estimation
-y Nearly Orthogonalizing Their Semantic
-Spaces
-Qing Tiana, Songcan Chena,∗
-College of Computer Science and Technology, Nanjing University of Aeronautics and
-Astronautics, Nanjing 210016, China"

 d28c12e270a06e977b59194cc6564787c87caa7e,HUMAN ACTION POSELETS ESTIMATION VIA COLOR G-SURF IN STILL IMAGES,"HUMAN ACTION POSELETS ESTIMATION VIA COLOR G-SURF IN STILL IMAGES
 M. Favorskaya *, D. Novikov, Y. Savitskaya
 Institute of Informatics and Telecommunications, Siberian State Aerospace University, 31 Krasnoyarsky Rabochy av., Krasnoyarsk,
@@ -50710,16 +42868,6 @@ Objekterkennung
 Erik Rodner
 Lehrstuhl Digitale Bildverarbeitung
 Friedrich-Schiller Universit¨at Jena"

-d2b0e08637266f49e9764b65e5154363b063a00d,Employing Fuzzy-Histogram Equalization to Combat Illumination Invariance in Face Recognition Systems,"I.J. Intelligent Systems and Applications, 2012, 9, 54-60
-Published Online  August 2012 in MECS  (http://www.mecs -press.org/)
-DOI:  10.5815/ijisa.2012.09.07
-Employing  Fuzzy-Histogram  Equalization to
-Combat Illumination  Invariance  in Face
-Recognition  Systems
-Adebayo  Kolawole  John
-Department Of  Computer Science,  Oduduwa University, Ipetumodu, Ile-Ife,  Nigeria
-Onifade  Onifade  Williams
-Department Of  Computer Science,  University Of  Ibadan, Ibadan, Nigeria"

 d2ada7d9424c056cc555f331dbb23ddab84eeee7,Background Subtraction with Dirichlet Processes,"Background Subtraction with Dirichlet
 Processes
 Tom S. F. Haines and Tao Xiang
@@ -50739,12 +42887,6 @@ Doctoral Student, Jain University, Bangalore
 GM Institute of Technology, Davanagere
 D Face Detection and Recognition under Occlusion
 is  very  vital.  Three-dimensional"

-d2f1fa5f3cc425f7d5b9f6fe6123da8bdb0724b7,A New Image Retrieval System Based on CBIR,"International Journal of Emerging Technology and Advanced Engineering
-Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 2, February 2015)
-A New Image Retrieval System Based on CBIR
-Richa Jain1, Sitesh Kumar Sinha2, Mukesh Kumar3
-,2,3CSE Department, AISECT University, India
-image  retrieval"

 d2cda0dbb8b2e83ce3e70d818f78d2add803c661,Automatic Video Captioning via Multi-channel Sequential Encoding,"Automatic Video Captioning via Multi-channel
 Sequential Encoding
 Chenyang Zhang and Yingli Tian
@@ -50796,23 +42938,6 @@ Copyright © Institute of Research Engineers and Doctors, USA .All rights reserv
 ISBN: 978-1-63248-060-6 doi: 10.15224/ 978-1-63248-060-6-07
 Bio-Inspired Pedestrian Detection and Tracking
 Miguel Farrajota, João M.F. Rodrigues and J.M.H. du Buf"

-cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,"I.J. Modern Education and Computer Science, 2016, 4, 18-24
-Published Online April 2016 in MECS (http://www.mecs-press.org/)
-DOI: 10.5815/ijmecs.2016.04.03
-GCSTLPP: Face Recognition using Gabor
-Center-Symmetric Tensor Locality Preservative
-Projection Approach in Video
-DayanandaSagar College of Engineering, Information Science and Engineering Department, Bangalore, India
-Rajeshwari.J
-Email:
-K. Karibasappa
-Oxford College of Engineering, Bangalore, India
-Email:
-Gopalkrishna M.T
-K.S. School of Engineering and Management, Computer Science and Engineering Department, Bangalore, India
-Email:
-three
-ombining"

 cd827a9dbf82240cb711f049989decada01c8ac7,"Object Localization , Segmentation , and Classification in 3 D Images by","City University of New York (CUNY)
 CUNY Academic Works
 Dissertations, Theses, and Capstone Projects
@@ -50858,13 +42983,6 @@ ARTIFICIAL REFERENCE PICTURES
 Felix Haub, Thorsten Laude and J¨orn Ostermann
 Leibniz University Hannover, Institut f¨ur Informationsverarbeitung,
 Appelstr. 9a, 30167 Hannover, Germany"

-cd490432e35ed5c5b7d80e1525e2780d7467ffb6,ESTIMATION OF LOST VALUES USING KINECT ’ S SENSOR IN AN INPAINTING TECHNIQUE,"International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882
-Vo lu me 3, Issue 8, Nove mber 2014
-BACKGROUND ESTIMATION OF LOST VALUES USING
-KINECT’S SENSOR IN AN INPAINTING TECHNIQUE
-* PG Schola r, Dept of EEE [Embedded systems technologies], #Assistant Professsor,
-Dept of EEE, Kongunadu College Of Engineering & Technology,Trichy, Ta mil Nadu, India
-*S.Kavitha, #Ms.S.Hemalatha"

 cd0a04c0af9b6c523884415ba54bff370fd02fab,Generalized Sparselet Models for Real-Time Multiclass Object Recognition,"Generalized Sparselet Models for Real-Time
 Multiclass Object Recognition
 Hyun Oh Song, Ross Girshick, Stefan Zickler, Christopher Geyer, Pedro Felzenszwalb, and Trevor Darrell"

@@ -50965,32 +43083,6 @@ Charlie Frowd*, Anna Petkovic, Kamran Nawaz and Yasmeen Bashir
 School of Psychology, University of Central Lancashire, Preston, UK
 *Corresponding author: Dr Charlie Frowd, School of Psychology, University of Central Lancashire,
 Preston PR1 2HE. Email: Phone: (01772) 893439."

-b2b535118c5c4dfcc96f547274cdc05dde629976,Automatic Recognition of Facial Displays of Unfelt Emotions,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 2017
-Automatic Recognition of Facial Displays of
-Unfelt Emotions
-Kaustubh Kulkarni*, Ciprian Adrian Corneanu*, Ikechukwu Ofodile*, Student Member, IEEE, Sergio
-Escalera, Xavier Bar´o, Sylwia Hyniewska, Member, IEEE, J¨uri Allik,
-nd Gholamreza Anbarjafari, Senior Member, IEEE"

-b216040f110d2549f61e3f5a7261cab128cab361,Weighted Voting of Discriminative Regions for Face Recognition,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.11 NOVEMBER 2017
-LETTER
-Weighted Voting of Discriminative Regions for Face Recognition∗
-Wenming YANG†, Member, Riqiang GAO†a), and Qingmin LIAO†, Nonmembers
-SUMMARY
-This paper presents a strategy, Weighted Voting of Dis-
-riminative Regions (WVDR), to improve the face recognition perfor-
-mance, especially in Small Sample Size (SSS) and occlusion situations.
-In WVDR, we extract the discriminative regions according to facial key
-points and abandon the rest parts. Considering different regions of face
-make different contributions to recognition, we assign weights to regions
-for weighted voting. We construct a decision dictionary according to the
-recognition results of selected regions in the training phase, and this dic-
-tionary is used in a self-defined loss function to obtain weights. The final
-identity of test sample is the weighted voting of selected regions. In this
-paper, we combine the WVDR strategy with CRC and SRC separately, and
-extensive experiments show that our method outperforms the baseline and
-some representative algorithms.
-key words: discriminative regions, small sample size, occlusion, weighted
-strategy, face recognition"

 b2624c3cb508bf053e620a090332abce904099a1,Dynamic Memory Networks for Visual and Textual Question Answering,"Dynamic Memory Networks for Visual and Textual Question Answering
 Caiming Xiong*, Stephen Merity*, Richard Socher
 MetaMind, Palo Alto, CA USA
@@ -51003,11 +43095,6 @@ MTech Student 1 , Assistant Professor 2  , Department of Computer Science and En
 Management and Technology, Raipur Chhattisgarh, India1, 2
 Vinita Phatnani1, Akash Wanjari2,
 its  significant  contribution"

-b29e60ddcabff5002c3ddec135ec94dd991d8d5a,Compressing deep convolutional neural networks in visual emotion recognition,"Compressing deep convolutional neural networks in visual emotion
-recognition
-A.G. Rassadin1, A.V. Savchenko1
-National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, 25/12 Bolshaya Pecherskaya
-Street, 603155, Nizhny Novgorod, Russia"

 b277bde51641d6b08693c171aea761beb14af800,FACE KERNEL EXTRACTION FROM LOCAL FEATURES,"FACE KERNEL EXTRACTION FROM
 LOCAL FEATURES
 A thesis submitted to the University of Manchester
@@ -51091,13 +43178,6 @@ France"
 b266be4d9fab8bf307ee2e6fdd6180ac7f6ef893,Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark,"Look into Person: Joint Body Parsing & Pose
 Estimation Network and A New Benchmark
 Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin"

-b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
-IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Variational Infinite
-Hidden Conditional Random Fields
-Konstantinos Bousmalis, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE,
-Louis-Philippe Morency, Member, IEEE, Maja Pantic, Fellow, IEEE,
-nd Zoubin Ghahramani, Member, IEEE"

 b2891e43c7b5dcd889f1a270721209a9cb9cfb49,Human Emotion Detection and Recognition from Still Images,"Human Emotion Detection and Recognition from Still Images
 Zareena
 Student, VTU RC, Mysore
@@ -51154,16 +43234,6 @@ In Proceedings of the 12th International Joint Conference on Computer Vision, Im
 89-397
 ISBN: 978-989-758-225-7
 Copyright c(cid:13) 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved"

-0e815b773e480ef20a680dd35cd72ab26a141d2f,Person re-identification via efficient inference in fully connected CRF,"Person re-identification via efficient inference in fully
-onnected CRF
-Wan Jiuqing
-Department of Automation
-Xing Menglin
-Department of Automation
-Beijing University of Aeronautics and Astronautics
-Beijing University of Aeronautics and Astronautics
-Beijing, China
-Beijing, China"

 0e78af9bd0f9a0ce4ceb5f09f24bc4e4823bd698,Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions,"Spontaneous Subtle Expression Recognition:
 Imbalanced Databases & Solutions (cid:63)
 Anh Cat Le Ngo1, Raphael Chung-Wei Phan1, John See2
@@ -51190,9 +43260,6 @@ July 2003"
 0efdd82a4753a8309ff0a3c22106c570d8a84c20,LDA WITH SUBGROUP PCA METHOD FOR FACIAL IMAGE RETRIEVAL,"LDA WITH SUBGROUP PCA METHOD FOR FACIAL IMAGE RETRIEVAL
 Wonjun Hwang, Tae-Kyun Kim, Seokcheol Kee
 Human Computer Interaction Lab., Samsung Advanced Institute of Technology, Korea."

-0e36bf238d2db6c970ade0b5f68811ed6debc4e8,Recognizing Partial Biometric Patterns,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 4, AUGUST 2018
-Recognizing Partial Biometric Patterns
-Lingxiao He, Student Member, IEEE, Zhenan Sun, Member, IEEE, Yuhao Zhu and Yunbo Wang"

 0ef99317c2ab67923c1657c05f2eba5a280a54eb,Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification,"Proceedings of the 2009 IEEE Symposium on Computational Intelligence
 in Security and Defense Applications (CISDA 2009)
 Incremental Adaptation of Fuzzy ARTMAP Neural Networks for
@@ -51210,30 +43277,6 @@ for Face Alignment under Significant Head Rotation
 Brandon M. Smith
 Charles R. Dyer
 University of Wisconsin–Madison"

-0ebd83e838dcd5827329c65d1ccc260e7aa7b5fe,Sufficient Dimensionality Reduction with Irrelevant Statistics,"UAI2003
-GLOBERSON ET AL.
-Sufficient Dimensionality
-Reduction  with
-Irrelevance
-Statistics
-Amir Globerson* Gal Chechik •  Naftali Tishby
-of Computer
-School
-Interdisciplinary
-The Hebrew University,
-Science
-Center for Neural Computation
-Jerusalem
-91904,
-Israel
-nd Engineering
-Unfortunately
-, natural
-datasets"

-0ee737085af468f264f57f052ea9b9b1f58d7222,SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination,"SiGAN: Siamese Generative Adversarial Network
-for Identity-Preserving Face Hallucination
-Chih-Chung Hsu, Member, IEEE, Chia-Wen Lin, Fellow, IEEE, Weng-Tai Su, Student Member, IEEE,
-nd Gene Cheung, Senior Member, IEEE,"

 0e13f7fc698cbe78ddbf3412b13ca27a4d878fa8,Greater need to belong predicts a stronger preference for extraverted faces ☆,"See	discussions,	stats,	and	author	profiles	for	this	publication	at:	https://www.researchgate.net/publication/306357929
 Greater	need	to	belong	predicts	a	stronger
 preference	for	extraverted	faces	☆
@@ -51312,28 +43355,9 @@ Unsupervised Detection of Outlier Images Using Multi-Order
 Image Transforms
 Lior Shamira,∗
 Lawrence Technological University, 21000 W Ten Mile Rd., Southfield, MI 48075, United States."

-0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7,Dual CNN Models for Unsupervised Monocular Depth Estimation,"Dual CNN Models for Unsupervised Monocular Depth Estimation
-Computer Vision Group,
-Indian Institute of Information Technology, Sri City,
-Vamshi Krishna Repala
-Shiv Ram Dubey
-Andhra Pradesh-517646, India
-vamshi.r14,"

-0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,"An Evaluation of Video-to-Video Face Verification
-Norman Poh, Member, IEEE, Chi Ho Chan, Josef Kittler, Sébastien Marcel, Christopher Mc Cool,
-Enrique Argones Rúa, José Luis Alba Castro, Mauricio Villegas, Student Member, IEEE, Roberto Paredes,
-Vitomir ˇStruc, Member, IEEE, Nikola Paveˇsic´, Albert Ali Salah, Hui Fang, and Nicholas Costen
-features,"

 0e767d8a88cdeea1a4338817c0e6ea3640ba4232,Deep Learning Architectures for Face Recognition in Video Surveillance,"Deep Learning Architectures for Face
 Recognition in Video Surveillance
 Saman Bashbaghi, Eric Granger, Robert Sabourin and Mostafa Parchami"

-0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b,Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern Matching Algorithm for Face Recognition,"ISSN : 0976-8491 (Online)  |  ISSN : 2229-4333 (Print)
-IJCST  Vol. 6, ISSue 1, Jan - MarCh 2015
-Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern
-Matching Algorithm for Face Recognition
-Dept. of Software Engineering, RKDF Institute of Science Technology, Bhopal, India
-Dept. of Computer Science, RKDF Institute of Science Technology, Bhopal, India
-Ajit Kumar Tiwari, 2Shrikant Lade"

 0ecaabbf846bbc78c91bf7ff71b998b61c0082d8,Automated Visual Fin Identification of Individual Great White Sharks,"Noname manuscript No.
 (will be inserted by the editor)
 Automated Visual Fin Identification
@@ -51343,13 +43367,6 @@ Received: date / Accepted: date"
 0eff410cd6a93d0e37048e236f62e209bc4383d1,Learning discriminative MspLBP features based on Ada-LDA for multi-class pattern classification,"Anchorage Convention District
 May 3-8, 2010, Anchorage, Alaska, USA
 978-1-4244-5040-4/10/$26.00 ©2010 IEEE"

-0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,"Survey of Recent Advances in Visual Question Answering
-Supriya Pandhre∗
-Indian Institute of Technology Hyderabad
-Hyderabad, India
-Shagun Sodhani
-Adobe Systems
-Noida, India"

 0e7862580028aa80c409b52ef1fa683444afcbcd,Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation,"(cid:3)
 Reducing the Dimensionality of Face Space in a Sparse Distributed
 Local-Features Representation
@@ -51357,8 +43374,6 @@ Laboratory of Computational Neuroscience
 230 York Avenue, New York, NY 10021
 The Rockefeller University
 Penio S. Penev"

-0ec0b35b95f1770887844687f0718924066b1f85,Adaptive Image Denoising by Targeted Databases,"Adaptive Image Denoising by Targeted Databases
-Enming Luo, Student Member, IEEE, Stanley H. Chan, Member, IEEE, and Truong Q. Nguyen, Fellow, IEEE"

 0e9f7d8554e065a586163845dd2bfba26e55cefb,Registration of 3 D Face Scans with Average Face Models ∗,"Registration of 3D Face Scans with Average Face Models
 Albert Ali Salah1,2, Ne¸se Aly¨uz1, Lale Akarun1
 {salah, nese.alyuz,
@@ -51386,24 +43401,6 @@ Electronics Engineering Department
 SVNIT, Surat"

 0e031312cb6e1634e3115e428505e2be9ef46b75,Explicit Knowledge-based Reasoning for Visual Question Answering,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
 giraffe people people Attributes: glass house room standing walking wall zoo  Scenes: museum indoor  Visual Question: How many giraffes are there in the image? Answer: Two.  Common-Sense Question: Is this image related to zoology? Answer: Yes. Reason: Object/Giraffe  -->  Herbivorous animals    --> Animal --> Zoology; Attribute/Zoo --> Zoology. KB-Knowledge Question: What are the common properties between the animal in this image and zebra? Answer: Herbivorous animals; Animals; Megafauna of Africa. Figure1:ArealexampleoftheproposedKB-VQAdatasetandtheresultsgivenbyAhab,theproposedVQAapproach.Ourapproachanswersquestionsbyextractingseveraltypesofvisualconceptsfromanimageandaligningthemtolarge-scalestructuredknowl-edgebases.Apartfromanswers,ourapproachcanalsoproviderea-sonsandexplanationsforcertaintypesofquestions.itisansweringthequestionbasedonimageinformation,orjusttheprevalenceofaparticularanswerinthetrainingset.Thesecondproblemisthatbecausethemodelistrainedonindividualquestion/answerpairs,therangeofquestionsthatcanbeaccuratelyansweredislimited.Answeringgeneralquestionsposedbyhumansaboutimagesinevitablyrequiresreferencetoadiversevarietyofinformationnotcontainedintheimageitself.CapturingsuchlargeamountofinformationwouldrequireanimplausiblylargeLSTM,andacompletelyimpracticalamountoftrainingdata.Thethird,andmajor,problemwiththeLSTMapproachisthatitisincapableofex-plicitreasoningexceptinverylimitedsituations[Rockt¨ascheletal.,2016].OurmaincontributionisamethodwecallAhab1foran-sweringawidevarietyofquestionsaboutimagesthatrequire1Ahab,thecaptaininthenovelMobyDick,iseitherabrilliantvisionary,oradeludedfanatic,dependingonyourperspective."

-0e95f68171b27621a39e393afb7c74ef1506fe85,CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS,"CONTENT BASED IMAGE RETRIEVAL USING
-ENHANCED LOCAL TETRA PATTERNS
-Divya Gupta1, Anjali Jindal2
-Assistant Professor, Computer Science Department
-SRM University, Delhi NCR Campus, India
-M.Tech Student (Computer Science and Engineering)
-SRM University, Delhi NCR Campus, India"

-0ee661a1b6bbfadb5a482ec643573de53a9adf5e,On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, MONTH YEAR
-On the Use of Discriminative Cohort Score
-Normalization for Unconstrained Face Recognition
-Massimo Tistarelli, Senior Member, IEEE, Yunlian Sun, and Norman Poh, Member, IEEE"

-e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66,Cognitive Learning for Social Robot through Facial Expression from Video Input,"International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463
-Vol. 3 Issue 1, January-2014, pp: (362-365), Impact Factor: 1.252, Available online at: www.erpublications.com
-Cognitive Learning for Social Robot through
-Facial Expression from Video Input
-Neeraj Rai1, Deepak Rai2
-Department of Automation & Robotics, 2Department of Computer Science & Engg.
-,2Ajay Kumar Garg Engineering College, Ghaziabad, UP, India"

 e9c8594ce3b8c555df59ff32b1a71eb62722b38c,On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach,"On the Importance of Stereo for Accurate Depth Estimation:
 An Efficient Semi-Supervised Deep Neural Network Approach
 Nikolai Smolyanskiy
@@ -51411,27 +43408,10 @@ Nikolai Smolyanskiy
 Alexey Kamenev
 NVIDIA
 Stan Birchfield"

-e9ae8bbfec913300eedede3ec48acb56c15ebdea,DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild,"DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
-Skand Vishwanath Peri
-Abhinav Dhall
-Learning Affect and Semantic Image AnalysIs (LASII) Group,
-Indian Institute of Technology Ropar, India"

 e9af96d478b487fec9a06dde9e43b2ed3355ea7b,Automatic thresholding of SIFT descriptors,"AUTOMATIC THRESHOLDING OF SIFT DESCRIPTORS
 Matthew R. Kirchner
 Image and Signal Processing Branch, Research Office, Code 4F0000D
 Naval Air Warfare Center Weapons Division, China Lake, CA 93555 USA"

-e96a3d4df7f6956ba185107747c3d7c16d1ed845,Unite the People: Closing the Loop Between 3D and 2D Human Representations,"Unite the People: Closing the Loop Between 3D and 2D Human Representations
-Christoph Lassner1,2
-Javier Romero3,*
-Martin Kiefel2
-Federica Bogo4,*
-Michael J. Black2
-Peter V. Gehler5,*
-Bernstein Center for Computational Neuroscience, T¨ubingen, Germany
-MPI for Intelligent Systems, T¨ubingen, Germany
-Body Labs Inc., New York, United States
-Microsoft, Cambridge, UK
-5University of W¨urzburg, Germany"

 e941ee2d584938e6509c0676466023f8b43b9486,Appearance based tracking with background subtraction,"The 8th International
 Computer Science
 April 26-28,  2013. Colombo,
@@ -51452,12 +43432,6 @@ Engineering
 Telecommunication
 Telecommunication
 Electronic"

-e94804b7f2515740671a678239eccdb79a050272,Generating a Fusion Image: One's Identity and Another's Shape,"Generating a Fusion Image: One’s Identity and Another’s Shape
-Donggyu Joo∗
-School of Electrical Engineering, KAIST, South Korea
-Doyeon Kim∗
-{jdg105, doyeon kim,
-Junmo Kim"

 e917bb1f7efdfc448b8b63c52e8f643e68630a11,3 D information is valuable for the detection of humans in video streams,"D information is valuable for the detection of humans
 in video streams
 Sébastien Piérard
@@ -51521,13 +43495,6 @@ Xi Yin and Xiaoming Liu Member, IEEE,"
 e9ac109c395ededb23dfc78fe85d76eeb772ee7e,A Multilevel Mixture-of-Experts Framework for Pedestrian Classification,"A Multilevel Mixture-of-Experts Framework for
 Pedestrian Classification
 Markus Enzweiler and Dariu M. Gavrila"

-e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Face Sketch to Photo Matching Using LFDA
-Pushpa Gopal Ambhore1, Lokesh Bijole2
-Research Scholor of Amravati University,
-Computer Engineering Department Padm. Dr. V. B. Kolte Coe Malkapur Maharashtra, India
-Assistant Professor, Computer Engineering Department Padm. Dr.V.B. Kolte coe Malkapur Maharashtra, India"

 e991ff3b28c46279a3bee2446d989326a682bd33,Robust non-negative matrix factorization,"Front. Electr. Electron. Eng. China 2011, 6(2): 192–200
 DOI 10.1007/s11460-011-0128-0
 Lijun ZHANG, Zhengguang CHEN, Miao ZHENG, Xiaofei HE
@@ -51660,15 +43627,6 @@ nd Media Informatics, Budapest University of Technology and Economics, Budapest,
 A special area of human-machine interaction,
 the expression of emotions gains
 importance with the continuous development of artificial agents such as social robots or"

-54801c260df5221a9de533d371d3edcc358b4050,On Combining Classifiers,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,  VOL.  20,  NO.  3,  MARCH  1998
-On Combining Classifiers
-Josef Kittler, Member, IEEE Computer Society, Mohamad Hatef, Robert P.W. Duin, and Jiri Matas"

-54dae5187de3898d8034719bcaa3e0100ae72d76,Probabilistic Attributed Hashing,"Probabilistic Attributed Hashing
-Mingdong Ou1, Peng Cui1, Jun Wang2, Fei Wang3, Wenwu Zhu1
-Tsinghua National Laboratory for Information Science and Technology
-Department of Computer Science and Technology, Tsinghua University. Beijing, China
-Department of Computer Science and Engineering, University of Connecticut. Storrs, CT. USA.
-Data Science, Alibaba Group, Seattle, WA, USA."

 5458ccf22bdea7197e28b433ef06d5225fb030a7,Video Description using Bidirectional Recurrent Neural Networks,"Video Description using Bidirectional Recurrent
 Neural Networks
 ´Alvaro Peris1, Marc Bola˜nos2,3, Petia Radeva2,3, and Francisco Casacuberta1
@@ -51725,11 +43683,6 @@ Paola CAMPADELLI, Raffaella LANZAROTTI, Giuseppe LIPORI 1
 Dipartimento di Scienze dell’Informazione.
 Università degli Studi di Milano.
 Via Comelico, 39/41 - 20135 Milano (Italy)"

-54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3,A joint learning framework for attribute models and object descriptions,"A Joint Learning Framework for Attribute Models and Object Descriptions
-Dhruv Mahajan
-Yahoo! Labs, Bangalore, India
-Sundararajan Sellamanickam
-Vinod Nair"

 5479da1038a530beb760a38dbb5b08947dfaefbd,Fusing continuous spectral images for face recognition under indoor and outdoor illuminants,"DOI 10.1007/s00138-008-0151-1
 ORIGINAL PAPER
 Fusing continuous spectral images for face recognition
@@ -51835,72 +43788,11 @@ results of PK were compared to results of control subjects. Patient PK showed at
 typical patterns of brain activations in the FG and OFA. However, a significant difference between PK and control subjects was found in
 the left anterior superior temporal sulcus/middle temporal gyrus (aSTS/MTG). In PK the left aSTS/MTG was hypo‑activated in comparison"

 541bccf19086755f8b5f57fd15177dc49e77d675,A few days of a robot's life in the human's world: toward incremental individual recognition,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2007-022April 3, 2007A Few Days of A Robot’s Life in the Human’s World: Toward Incremental Individual RecognitionLijin Aryananda"

-8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,"ADITYA, JAWAHAR, PAWAN: LEARNING HUMAN POSES FROM ACTIONS
-Learning Human Poses from Actions -
-Supplementary Material
-Aditya Arun1
-C.V. Jawahar1
-M. Pawan Kumar2
-IIIT Hyderabad
-University of Oxford &
-The Alan Turing Institute
-In this supplementary material, we provide additional details on optimization of our
-learning objective, implementation details, and visualization of the learning process. We
-lso provide additional results of training a different architecture for human pose estimation
-on two data sets.
-Optimization
-In this section, we provide details of optimization presented in section 3.5 of the paper.
-.1 Learning Objective
-We represent the prediction distribution using a DISCO Net, which we denote by Prw, w
-eing the parameter of the network. Similarly, we represent the conditional distribution using
-set of DISCO Nets, which we denote by Prθθθ . The set of parameters for the conditional
-networks is denoted by θθθ. We compute samples from the prediction network as {hw"

-8bf57dc0dd45ed969ad9690033d44af24fd18e05,Subject-Independent Emotion Recognition from Facial Expressions using a Gabor Feature RBF Neural Classifier Trained with Virtual Samples Generated by Concurrent Self-Organizing Maps,"Subject-Independent Emotion Recognition from Facial Expressions
-using a Gabor Feature RBF Neural Classifier Trained with Virtual
-Samples Generated by Concurrent Self-Organizing Maps
-VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC
-Depart. Electronics, Telecommunications & Information Technology
-Polytechnic University of Bucharest
-Splaiul Independentei No. 313, Sector 6, Bucharest,
-ROMANIA"

 8b21c89b436e0aa540f7b9648e4344eb30a6e372,Robust coding schemes for indexing and retrieval from large face databases,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 1, JANUARY 2000
 Correspondence________________________________________________________________________
 Robust Coding Schemes for Indexing and Retrieval from
 Large Face Databases
 Chengjun Liu and Harry Wechsler"

-8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications","Hindawi Publishing Corporation
-Mathematical Problems in Engineering
-Volume 2011, Article ID 176058, 15 pages
-doi:10.1155/2011/176058
-Research Article
-An Efficient Feature Extraction Method,
-Global Between Maximum and Local Within
-Minimum, and Its Applications
-Lei Wang,1, 2 Jiangshe Zhang,1, 2 and Fei Zang1, 2
-School of Science, Xi’an Jiaotong University, Xi’an 710049, China
-State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University,
-Xi’an 710049, China
-Correspondence should be addressed to Lei Wang,
-Received 28 March 2011; Revised 16 April 2011; Accepted 18 April 2011
-Academic Editor: Jyh Horng Chou
-Copyright q 2011 Lei Wang et al. This is an open access article distributed under the Creative
-Commons Attribution License, which permits unrestricted use, distribution, and reproduction in
-ny medium, provided the original work is properly cited.
-Feature extraction plays an important role in preprocessing procedure in dealing with small
-sample size problems. Considering the fact that LDA, LPP, and many other existing methods are"

-8b26744e11e5f226f187bf903b88933c5b0fcdc0,Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images,"Article
-Cost-Effective Class-Imbalance Aware CNN for
-Vehicle Localization and Categorization in High
-Resolution Aerial Images
-Feimo Li 1,2,*, Shuxiao Li 1,2,*, Chengfei Zhu 1,2, Xiaosong Lan 1,2 and Hongxing Chang 1,2
-Institute of Automation Chinese Academy of Sciences, Beijing 100190, China;
-(C.Z.); (X.L.); (H.C.)
-University of Chinese Academy of Science, Beijing 100049, China
-* Correspondence: (F.L.); (S.L.);
-Tel.: +86-188-0012-4228 (F.L.); +86-138-1077-1030 (S.L.)
-Academic Editors: Qi Wang, Nicolas H. Younan, Carlos López-Martínez, Gonzalo Pajares Martinsanz,
-Xiaofeng Li and Prasad S. Thenkabail
-Received: 26 February 2017; Accepted: 15 May 2017; Published: 18 May 2017"

 8bb4d90d5b97e8d08d2aaa99e9c075a506b3108a,Generating Diverse Clusterings,"Generating Diverse Clusterings
 Anonymous Author(s)"

 8b36c4675732249963b3e9294a0f52f26c6dd931,A Survey on Local Invariant Features,"FnT Computer Graphics and Vision 2:4
@@ -51976,13 +43868,6 @@ Informatics,
 in partial
 Dipl.-Inform. Stefan Heinrich
 Hamburg, 2016"

-8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,"Score Normalization in Multimodal
-Systems using Generalized Extreme Value
-Distribution
-Renu Sharma1, 2                  1Centre for Development of Advanced Computing,
-Mumbai, India
-Sukhendu Das2                   2Indian Institute of Technology, Madras, India
-Padmaja Joshi1"

 8b632db02220806cd62e35fdebb3ede58243dee0,Recognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching,"Recognizing Partially Occluded Faces from a
 Single Sample Per Class Using String-Based
 Matching
@@ -52102,15 +43987,6 @@ vorgelegt von
 Tom´as Lay Herrera
 Havanna
 Bonn, November 2012"

-8bf647fed40bdc9e35560021636dfb892a46720e,Learning to hash-tag videos with Tag2Vec,"Learning to Hash-tag Videos with Tag2Vec
-Aditya Singh
-Saurabh Saini
-Rajvi Shah
-CVIT, KCIS, IIIT Hyderabad, India
-P J Narayanan
-http://cvit.iiit.ac.in/research/projects/tag2vec
-Figure 1. Learning a direct mapping from videos to hash-tags : sample frames from short video clips with user-given hash-tags
-(left); a sample frame from a query video and hash-tags suggested by our system for this query (right)."

 8b607928c7af70259a9f8af9e08e28e6037411c8,Bayesian teaching of image categories,"Bayesian teaching of image categories
 Wai Keen Vong∗
 Ravi B. Sojitra*
@@ -52167,16 +44043,6 @@ Daniel Rosser
 Yusuf Pisan
 Games Studio, Faculty of Engineering and IT, University of Technology, Sydney"

 8b9c53e7d65ba7a7be3d588d00481f2ff49b5ef4,Orienting in response to gaze and the social use of gaze among children with autism spectrum disorder.,23Journal of Autism andDevelopmental Disorders ISSN 0162-3257Volume 43Number 7 J Autism Dev Disord (2013)43:1584-1596DOI 10.1007/s10803-012-1704-8Orienting in Response to Gaze and theSocial Use of Gaze among Children withAutism Spectrum DisorderAdrienne Rombough & Grace Iarocci

-b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image 1,"Volume 7, Issue 5, May 2017                                  ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-Arumugam P, 2Muthukumar S, 3Selva Kumar S, 4Gayathri
-Department of Statistics,   2, 4 Department of CSE, 3Research Scholar
-, 3 Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
-, 4 Varuvan Vadivelan Institute of Technology, Dharmapuri, Tamilnadu, India
-DOI: 10.23956/ijarcsse/SV7I5/0103"

 b774d7c951b9c444572085e15f6a81a063abf123,Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification,"FeaturesSpatial  AttentionTemporal  Attention1                      2                      3                              N‘face’‘torso’‘bag’Figure1.SpatiotemporalAttention.Inchallengingvideore-identificationscenarios,apersonisrarelyfullyvisibleinallframes.However,framesinwhichonlypartofthepersonisvis-ibleoftencontainusefulinformation.Forexample,thefaceisclearlyvisibleintheframes1and2,thetorsoinframe2,andthehandbaginframes2,3andN.Insteadofaveragingfullframefeaturesacrosstime,weproposeanewspatiotemporalapproachwhichlearnstodetectasetofKdiversesalientimageregionswithineachframe(superimposedheatmaps).Anaggregaterep-resentationofeachbodypartisthenproducedbycombiningtheextractedper-frameregionsacrosstime(weightsshownaswhitetext).Ourspatiotemporalapproachcreatesacompactencodingofthevideothatexploitsusefulpartialinformationineachframebyleveragingmultiplespatialattentionmodels,andcombiningtheiroutputsusingmultipletemporalattentionmodels.personre-identification,whichisageneralizationofthestandardimage-basedre-identificationtask.InsteadofarXiv:1803.09882v1  [cs.CV]  27 Mar 2018"

 b704f8360c369e65f0826ca23dac2d4e221d8997,A Knowledge Base for Automatic Feature Recognition from Point Clouds in an Urban Scene,"Article
 A Knowledge Base for Automatic Feature Recognition
@@ -52280,14 +44146,6 @@ Department of Applied Mathematics and Informatics,
 Ryukoku University, Ootsu, Shiga 520–2194, JAPAN
 National Institute of Advanced Industrial Science and Technology(AIST),
 Tsukuba, Ibaraki 305–8568, JAPAN"

-b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,"Biomedical Research 2017; Special Issue: S610-S618
-ISSN 0970-938X
-www.biomedres.info
-A comprehensive age estimation on face images using hybrid filter based
-feature extraction.
-Karthikeyan D1*, Balakrishnan G2
-Department of ECE, Srinivasan Engineering College, Perambalur, India
-Department of Computer Science and Engineering, Indra Ganesan College of Engineering, Trichy, India"

 b7a0e7dab11781c252e1145f3526aee388b4136d,Facing humanness: Facial width-to-height ratio predicts ascriptions of humanity.,"Journal of Personality and Social
 Psychology
 Facing Humanness: Facial Width-to-Height Ratio
@@ -52373,10 +44231,6 @@ Centre for Research in Computer Vision, University of Central Florida (UCF)2"
 b79f3d9f8de4d1cc6679676146a40d2a8596f32d,Composing Simple Image Descriptions using Web-scale N-grams,"Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 220–228,
 Portland, Oregon, USA, 23–24 June 2011. c(cid:13)2011 Association for Computational Linguistics"

 b73fdae232270404f96754329a1a18768974d3f6,International Journal of Advanced Robotic Systems Local Relation Map : A Novel Illumination Invariant Face Recognition Approach Regular Paper,

-b730908bc1f80b711c031f3ea459e4de09a3d324,Active Orientation Models for Face Alignment In-the-Wild,"Active Orientation Models for Face
-Alignment In-the-Wild
-Georgios Tzimiropoulos, Joan Alabort-i-Medina, Student Member, IEEE,
-Stefanos P. Zafeiriou, Member, IEEE, and Maja Pantic, Fellow, IEEE"

 b74c410ea8db3babb9a307d1fb8f08b90ce8b490,Automatic Visual Speech Recognition,"6 Automatic Visual Speech Recognition Alin Chiţu¹ and Léon J.M. Rothkrantz¹,² ¹Delft University of Technology ²Netherlands Defence Academy The Netherlands 1. Introduction Lip reading was thought for many years to be specific to hearing impaired persons. Therefore, it was considered that lip reading is one possible solution to an abnormal situation. Even the name of the domain suggests that lip reading was considered to be a rather artificial way of communication because it associates lip reading with the written language which is a relatively new cultural phenomenon and is not an evolutionary inherent ability. Extensive lip reading research was primarily done in order to improve the teaching methodology for hearing impaired persons to increase their chances for integration in the society. Later on, the research done in human perception and more exactly in speech perception proved that lip reading is actively employed in different degrees by all humans irrespective to their hearing capacity. The most well know study in this respect was performed by Harry McGurk and John MacDonald in 1976. In their experiment the two researchers were trying to understand the perception of speech by children. Their finding, now called the McGurk effect, published in Nature (Mcgurk & Macdonald, 1976), was that if a person is presented a video sequence with a certain utterance (i.e. in their experiments utterance 'ga'), but in the same time the acoustics present a different utterance (i.e. in their experiments the sound 'ba'), in a large majority of cases the person will perceive a third utterance (i.e. in this case 'da'). Subsequent experiments showed that this is true as well for longer utterances and that is not a particularity of the visual and aural senses but also true for other perception functions. Therefore, lip reading is part of our multi-sensory speech perception process and could be better named visual speech recognition. Being an evolutionary acquired capacity, same as speech perception, some scientists consider the lip reading's neural mechanism the one that enables humans to achieve high literacy skills with relative easiness (van Atteveldt, 2006). Another source of confusion is the “lip” word, because it implies that the lips are the only part of the speaker face that transmit information about what is being said. The teeth, the tongue and the cavity were shown to be of great importance for lip reading by humans (Williams et al., 1998). Also other face elements were shown to be important during face to face communication; however, their exact influence is not completely elucidated. During experiments in which a gaze tracker was used to track the speaker's areas of attention during communication it was found that the human lip readers focus on four major areas: the mouth, the eyes and the centre of the face depending on the task and the noise level (Buchan et al., 2007). In normal situations the listener scans the mouth and the other areas www.intechopen.com"

 b768cb6fc2616f3dbe9ef4e25dedd7d95781ba66,Distribution Matching in Variational Inference,"Distribution Matching in Variational Inference
 Mihaela Rosca Balaji Lakshminarayanan
@@ -52405,19 +44259,7 @@ of the scene in addition to its color video. Nevertheless,
 effective people counting in real-world conditions using depth
 information still remains a largely unsolved problem due to
 noise and occlusion [6]."

-b7d540cd0de72e984cdec44afa4a4d039cfd5eea,Object Tracking Benchmark,"Object Tracking Benchmark
-Yi Wu, Member, IEEE, Jongwoo Lim, Member, IEEE, and Ming-Hsuan Yang, Senior Member, IEEE"

 b732393cd3877f7e6d3cf3ca033a42415bd6db56,Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding,

-2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,"This is a preprint of a paper which appeared in the Proceedings of
-RoboCup 2010: Robot Soccer World Cup XIV
-A Semantic World Model for Urban Search and
-Rescue Based on Heterogeneous Sensors
-Johannes Meyer2, Paul Schnitzspan1, Stefan Kohlbrecher1, Karen Petersen1,
-Mykhaylo Andriluka1, Oliver Schwahn1, Uwe Klingauf2, Stefan Roth1,
-Bernt Schiele1,3, and Oskar von Stryk1
-Department of Computer Science, TU Darmstadt, Germany
-Department of Mechanical Engineering, TU Darmstadt, Germany
-MPI Informatics, Saarbr¨ucken, Germany"

 2f23f7d08c7b8670289cfedd1e571f44a3bace8b,Contextual Information and Covariance Descriptors for People Surveillance: An Application for Safety of Construction Workers,"Hindawi Publishing Corporation
 EURASIP Journal on Image and Video Processing
 Volume 2011, Article ID 684819, 16 pages
@@ -52581,19 +44423,6 @@ AudioPairBank: Towards A Large-Scale
 Tag-Pair-Based Audio Content Analysis
 Sebastian S¨ager, and Benjamin Elizalde, and Damian Borth IEEE Member, and Christian Schulze,
 nd Bhiksha Raj IEEE Fellow, and Ian Lane IEEE Member"

-2f349ec19443523bc6c1e4b15fb677b1c188e253,Finding Time Series Motifs in Disk-Resident Data,"Finding Time Series Motifs in Disk-Resident Data
-Abdullah Mueen, Eamonn Keogh
-Nima Bigdely-Shamlo
-Department of Computer Science and Engineering
-University of California, Riverside, USA
-{mueen,"

-2ffcd35d9b8867a42be23978079f5f24be8d3e35,Satellite based Image Processing using Data mining,"ISSN XXXX XXXX © 2018 IJESC
-Research Article                                                                                                                            Volume 8 Issue No.6
-Satellite based Image Processing using Data mining
-E.Malleshwari1, S.Nirmal Kumar2, J.Dhinesh3
-Professor1, Assistant Professor2, PG Scholar3
-Department of Information Technology1, 2, Master of Computer Applications3
-Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College, Avadi, Chennai, India"

 2f7e9b45255c9029d2ae97bbb004d6072e70fa79,cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey,"Noname manuscript No.
 (will be inserted by the editor)
 vpaper.challenge in 2015
@@ -52685,26 +44514,6 @@ Fernando Azpiroz3, Petia Radeva1,2 and Jordi Vitri`a1,2
 Computer Vision Center (CVC), Universitat Aut`onoma de Barcelona, Barcelona, Spain
 Dept. Matem`atica Aplicada i An`alisis, Universitat de Barcelona, Barcelona, Spain
 Digestive System Research Unit, Hospital Vall dHebron, Barcelona, Spain"

-2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,"ISSN XXXX XXXX © 2016 IJESC
-Research Article                                                                                                             Volume 6 Issue No. 11
-IoT Based Embedded Smart Lock Control System
-Rohith R1, J. Nageswara Reddy2, K. Ravi Kiran3
-M.Tech, Embedded Systems, CM RCET, Hyderabad, India 1
-Assistant Professor, Depart ment of ECE, CM RCET, Hyderabad, India2
-Assistant Professor, Depart ment, of ECE, CM RCET, Hyderabad, India3
-INTRODUCTION
-Abstrac t:
-Smart ho me security and re mote monitoring have become vita l and indispensable in recent times, and with the advent of new con cepts
-like  Internet of Things and development of advanced authentication and security technologies, the need for smarter security s ystems
-has  only  been  growing.  The  design  and  development  of  an  intelligent  web -based  door  lock  control  system  using  face  recognition
-technology, for authentication, re mote  monitoring of visitors and re mote control of s mart door loc k has been reported in th is paper.
-This system uses Haar-like  features for face detection and Local Binary Pattern Histogram (LBPH) fo r face recognition. The  system
-lso includes a web-based remote monitoring, an authentication module, and a bare-bones embedded IoT server, which transmits the
-live pictures of the visitors via email a long with an SMS notification,  and the owner can then remotely control the lock by responding
-to  the  email  with  predefined  security  codes  to  unlock  the door.  This  system  finds  a wide application  in  sma rt  homes  where  the
-physical presence of the owner at all times is not possible, and where a remote authentication and control  is desired. The system has
-een  imple mented  and  tested  using  the  Raspberry  Pi  2  board,  Python  along  with  OpenCV  are   used  to  program  the  various  face
-recognition and control modules."

 2f59f28a1ca3130d413e8e8b59fb30d50ac020e2,Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information,"Children Gender Recognition Under Unconstrained
 Conditions Based on Contextual Information
 Riccardo Satta, Javier Galbally and Laurent Beslay
@@ -52728,24 +44537,6 @@ Coupled Generative Adversarial Nets
 Liu, M.-Y.; Tuzel, O.
 TR2016-070
 June 2016"

-2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd,Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion,"Article
-Robust Face Recognition Using the Deep C2D-CNN
-Model Based on Decision-Level Fusion
-Jing Li 1,2,†, Tao Qiu 3,†, Chang Wen 3,*, Kai Xie 1,2 and Fang-Qing Wen 1,2
-School of Electronic and Information, Yangtze University, Jingzhou 434023, China;
-(J.L.); (K.X.); (F-Q.W.)
-National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University,
-Jingzhou 434023, China
-School of Computer Science, Yangtze University, Jingzhou 434023, China;
-* Correspondence: Tel.: +86-136-9731-5482
-These authors contributed equally to this work.
-Received: 20 May 2018; Accepted: 25 June 2018; Published: 28 June 2018"

-2fa16dc0ee50550c1bf58c410912d48cddbc3554,Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2016.2555718, IEEE
-Transactions on Circuits and Systems for Video Technology
-Search Tracker: Human-derived object tracking
-in-the-wild through large-scale search and retrieval
-Archith John Bency, Student Member, IEEE S. Karthikeyan,, Carter De Leo, Santhoshkumar Sunderrajan,
-Member, IEEE and B. S. Manjunath, Fellow, IEEE"

 2fa1629d75a03b950c56bf9b3430b2983abd7881,Learning geometrical transforms between multi camera views using Canonical Correlation Analysis,"CONRAD, MESTER: LEARNING GEOMETRICAL TRANSFORMS USING CCA
 Learning geometrical transforms between
 multi camera views using Canonical
@@ -52907,30 +44698,9 @@ September 2010
 Department of Computer Science"

 aa23d33983b1abd2d8a677040eb875e93c478a7f,Measuring the Objectness of Image Windows,"Measuring the objectness of image windows
 Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari"

-aaa6fe8045e1a071e1762cffe4f59e0bd508daf9,Single-Pedestrian Detection Aided by Two-Pedestrian Detection,"IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Single-Pedestrian Detection Aided by
--Pedestrian Detection
-Wanli Ouyang, Member, IEEE, Xingyu Zeng and Xiaogang Wang, Member, IEEE,"

-aa07203067566f251041f73ee087aa7dfb847509,Biometric System Using Cryptography : A Survey,"Anupam Baruah et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.9, September- 2015, pg. 101-104
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 4, Issue. 9, September 2015, pg.101 – 104
-SURVEY ARTICLE
-Biometric System Using
-Cryptography: A Survey
-Anupam Baruah1, Prof. (Dr.) Lakshmi Prasad Saikia2
-¹Research Scholar, Dept. Of Computer Sc. & Engg, Assam downtown University, India
-²Professor, Dept. Of Computer Sc. & Engg, Assam downtown University, India"

 aad7f9eeb10d4f655c3e3d18d3542603ad3071b4,Deep Unsupervised Learning of Visual Similarities,"Deep Unsupervised Learning of Visual Similarities
 Artsiom Sanakoyeu∗, Miguel A. Bautista, Björn Ommer
 Heidelberg Collaboratory for Image Processing and Interdisciplinary Center for Scientific Computing, Heidelberg University, Germany"

-aae742779e8b754da7973949992d258d6ca26216,Robust facial expression classification using shape and appearance features,"Robust Facial Expression Classification Using Shape
-nd Appearance Features
-S L Happy and Aurobinda Routray
-Department of Electrical Engineering,
-Indian Institute of Technology Kharagpur, India"

 aad03480c30c0a3d917d171d8d6b914026fe5105,Affordances Provide a Fundamental Categorization Principle for Visual Scenes,"Affordances
 Provide
 Fundamental
@@ -52958,59 +44728,16 @@ Rhonda P. Patrick1 and Bruce N. Ames1
 Nutrition and Metabolism Center, Children’s Hospital Oakland Research Institute, Oakland,
 California, USA
 Serotonin and vitamin D have been pro-"

-aa11aa50c5a3cee44d7fb39b1e2732c5699f565f,A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models,"IEICE TRANS. INF. & SYST., VOL.E99–D, NO.12 DECEMBER 2016
-PAPER
-A Bayesian Approach to Image Recognition Based on Separable
-Lattice Hidden Markov Models
-Kei SAWADA†a), Student Member, Akira TAMAMORI†b), Member, Kei HASHIMOTO†c), Nonmember,
-Yoshihiko NANKAKU†d), and Keiichi TOKUDA†e), Members
-SUMMARY
-This paper proposes a Bayesian approach to image recog-
-nition based on separable lattice hidden Markov models (SL-HMMs). The
-geometric variations of the object to be recognized, e.g., size, location,
-nd rotation, are an essential problem in image recognition. SL-HMMs,
-which have been proposed to reduce the effect of geometric variations, can
-perform elastic matching both horizontally and vertically. This makes it
-possible to model not only invariances to the size and location of the object
-ut also nonlinear warping in both dimensions. The maximum likelihood
-(ML) method has been used in training SL-HMMs. However, in some im-
-ge recognition tasks, it is dif‌f‌icult to acquire suf‌f‌icient training data, and
-the ML method suffers from the over-fitting problem when there is insuf‌f‌i-
-ient training data. This study aims to accurately estimate SL-HMMs using
-the maximum a posteriori (MAP) and variational Bayesian (VB) methods."

 aa9b924c88b75909871585cbadbed2d76df7dbdf,The effects of item familiarity on the neural correlates of successful associative memory encoding.,"Cogn Affect Behav Neurosci
 DOI 10.3758/s13415-015-0359-2
 The effects of item familiarity on the neural correlates
 of successful associative memory encoding
 Nancy A. Dennis 1 & Indira C. Turney 1 & Christina E. Webb 1 & Amy A. Overman 2
 # Psychonomic Society, Inc. 2015"

-aaba2a04c025f12f839ac71fb248da0dd6985d58,A COMBINED FACE RECOGNITION APPROACH BASED ON LPD AND,"VOL. 10, NO. 6, APRIL 2015                                                                                                                      ISSN 1819-6608
-ARPN Journal of Engineering and Applied Sciences
-©2006-2015 Asian Research Publishing Network (ARPN). All rights reserved.
-www.arpnjournals.com
-A COMBINED FACE RECOGNITION APPROACH BASED ON LPD
-AND LVP
-Kabilan R.1, Ravi R.2, Rajakumar G.1, Esther Leethiya Rani S.1 and Mini Minar V. C.1
-Department of ECE, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
-Department of IT, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India
-E-Mail:"

 aa5efcc4331da6b1902f2c900b79120226fdcf20,A ROBUST CLASS-BASED REFLECTANCE RENDERING FOR FACE IMAGES,A ROBUST CLASS-BASED REFLECTANCE RENDERING FOR FACE IMAGES

 aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb,REACH - Realtime crowd tracking using a hybrid motion model,"REACH - Realtime Crowd tracking using a Hybrid motion model
 Aniket Bera1 and Dinesh Manocha1
 http://gamma.cs.unc.edu/REACH"

-aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,"Deep Attribute Networks
-Junyoung Chung
-Department of EE, KAIST
-Daejeon, South Korea
-Donghoon Lee
-Department of EE, KAIST
-Daejeon, South Korea
-Youngjoo Seo
-Department of EE, KAIST
-Daejeon, South Korea
-Chang D. Yoo
-Department of EE, KAIST
-Daejeon, South Korea"

 aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2,PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues,"F. FLOHR, D. M. GAVRILA: PEDCUT
 PedCut: an iterative framework for
 pedestrian segmentation combining
@@ -53066,11 +44793,6 @@ The Johns Hopkins Univerisity
 #D17PC00345 and ONR grant N00014-15-1-2356.
 Qi Chen, Weichao Qiu, Yi Zhang
 Lingxi Xie(
-aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,"Action-Driven Object Detection
-with Top-Down Visual Attentions
-Donggeun Yoo, Student Member, IEEE, Sunggyun Park, Student Member, IEEE,
-Kyunghyun Paeng, Student Member, IEEE, Joon-Young Lee, Member, IEEE,
-nd In So Kweon, Member, IEEE"

 aafb8dc8fda3b13a64ec3f1ca7911df01707c453,Excitation Backprop for RNNs,"Excitation Backprop for RNNs
 Sarah Adel Bargal∗1, Andrea Zunino∗ 2, Donghyun Kim1, Jianming Zhang3,
 Vittorio Murino2,4, Stan Sclaroff1
@@ -53118,8 +44840,6 @@ Mohammad Mahdi Dehshibi1, Azam Bastanfard2, and Alireza Abdi3
 Young Researchers Club, Islamic Azad University South Tehran Branch, Tehran, Iran
 IT Research Laboratory, Faculty of Engineering, Islamic Azad University Karaj Branch, Karaj, Iran
 Faculty of Electrical, Computer and IT, Islamic Azad University Qazvin Branch, Qazvin, Iran"

-aae0e417bbfba701a1183d3d92cc7ad550ee59c3,A Statistical Method for 2-D Facial Landmarking,"A Statistical Method for 2-D Facial Landmarking
-Hamdi Dibeklio˘glu, Student Member, IEEE, Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE"

 aa94f214bb3e14842e4056fdef834a51aecef39c,Reconhecimento de padrões faciais : Um estudo,"Reconhecimento de padrões faciais: Um estudo
 Alex Lima Silva, Marcos Evandro Cintra
 Universidade Federal
@@ -53146,18 +44866,10 @@ Haoqi Fan
 Jitendra Malik
 Kaiming He
 Facebook AI Research (FAIR)"

-aaaefba1bd0a9a9ec6c66a822d11fb907a05625c,"On Detection, Data Association and Segmentation for Multi-target Tracking.","This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2018.2849374, IEEE
-Transactions on Pattern Analysis and Machine Intelligence
-On Detection, Data Association and
-Segmentation for Multi-target Tracking
-Yicong Tian, Member, IEEE, Afshin Dehghan, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

 aa74e63360c341f47a921e0043c5d58d55807fe4,Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks,"SUBMITTED FOR PUBLICATION, 2016
 Multi-Residual Networks: Improving the Speed and
 Accuracy of Residual Networks
 Masoud Abdi, and Saeid Nahavandi, Senior Member, IEEE"

-aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6,Object Detection in Multi-view X-Ray Images,"Object Detection in Multi-View X-Ray Images
-Thorsten Franzel, Uwe Schmidt, and Stefan Roth
-Department of Computer Science, TU Darmstadt"

 74d4224989b5937ee6c97eec1955e64ab0699f57,Facial Emotional Classifier For Natural Interaction,"Electronic Letters on Computer Vision and Image Analysis 7(4):1-12, 2008
 Facial Emotional Classifier For Natural Interaction
 Isabelle Hupont, Eva Cerezo, Sandra Baldassarri
@@ -53165,19 +44877,6 @@ Departamento de Informática e Ingeniería de Sistemas,
 Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza (Spain)
 Received 29th  November 2007,  Revised 26th February 2008,  Accepted 3rd June 2008
 {478953, ecerezo,"

-741b0ce40cc18449f350792af777cc54c390eda1,Comparative Study of Principal Component Analysis and Independent Component Analysis,"International Journal of Computer Applications (0975 – 8887)
-Volume 92 – No.15, April 2014
-Comparative Study of Principal Component Analysis
-nd Independent Component Analysis
-Sushma Niket Borade
-Research Scholar
-Ratnadeep R. Deshmukh, Ph. D
-Professor
-Dept. of Computer Science and I.T.
-Dept. of Computer Science and I.T.
-Dr. Babasaheb Ambedkar Marathwada University,
-Dr. Babasaheb Ambedkar Marathwada University,
-Aurangabad – 431004, India"

 74408cfd748ad5553cba8ab64e5f83da14875ae8,Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation and Evaluation,"Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation
 nd Evaluation"

 74f21f2edfa985280be63f8a01aa00541f3a5625,People Groping by Spatio-Temporal Features of Trajectories,"4-13
@@ -53217,13 +44916,6 @@ Niigata, Japan
 Systems Science
 603-1 Kamitomioka, Nagaoka
 Niigata, Japan"

-74325f3d9aea3a810fe4eab8863d1a48c099de11,Regression-Based Image Alignment for General Object Categories,"Regression-Based Image Alignment
-for General Object Categories
-Hilton Bristow1 and Simon Lucey2
-Queensland University of Technology (QUT)
-Brisbane QLD 4000, Australia
-Carnegie Mellon University (CMU)
-Pittsburgh PA 15289, USA"

 74b0095944c6e29837c208307a67116ebe1231c8,Manifold learning using Euclidean k-nearest neighbor graphs [image processing examples],"be
independentandidenticallydis-tributed(i.i.d.)randomvectorswithvaluesinacompactsubsetof.The(-)nearestneighborofinisgivenby!""$%&(*,.%13575where575istheusualEuclidean(<=)distanceinbe-tweenvectorand.Forgeneralinteger?,the-nearestneighborofapointisdefinedinasimilarway.The-NNgraphputsanedgebetweeneachpointinandits-nearestneighbors.LetBCDBCDFHbethesetof-nearestneighborsofin.Thetotaledgelengthofthe-NNgraphisdefinedas:<JDCFHMN
 M%&QRS1575J(1)whereVWXisapowerweightingconstant.2.1.ConvergencetoExtrinsicZ-EntropyThe-NNedgelengthliesinthelargeclassoffunctionalscalledcontinuousquasi-additiveEuclideanfunctionals[7].Othergraphsinthisclassincludetheminimalspanningtree,theminimalmatch-inggraphorthetravelingsalesmantouramongothers.Thesefunc-tionalshaveremarkableasymptoticbehavioras
increases:Theorem1([7,Theorem8.3])Let
 bei.i.d.randomvectorswithvaluesinacompactsubsetofandLebesgueden-sity\.Let]?_,aVb]anddefineZF]7VHf].Then,withprobability(w.p.)gh""jk<JDCFH
moDJDCp\mFrHtr(2)whereoDJDCisaconstantindependentof\.Furthermore,themeanlengthuv<JDCFHwf
mconvergestothesamelimit.Thequantitythatdeterminesthelimit(2)inTheorem1istheex-trinsicR´enyiZ-entropyofthemultivariateLebesguedensity\:yz{mF\H7Zg!pz{\mFrHtr(3)III - 9880-7803-8484-9/04/$20.00 ©2004 IEEEICASSP 2004(cid:224)"

@@ -53239,14 +44931,6 @@ Chemnitz University of Technology, Professorship on Communications Engineering,
 09126 Chemnitz, Germany
 Chemnitz University of Technology, Chair Media Informatics, Straße der Nationen 62, 09111 Chemnitz, Germany
 Correspondence to: H. Lietz"

-74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,"International Journal of Bio-Science and Bio-Technology
-Vol. 5, No. 2, April, 2013
-Feature Extraction based on Local Directional Pattern with SVM
-Decision-level Fusion for Facial Expression Recognition
-Juxiang Zhou1, Tianwei Xu1,2 and Jianhou Gan1
-Key Laboratory of Education Informalization for Nationalities, Ministry of
-Education, Yunnan Normal University, Kunming, China
-College of Information, Yunnan Normal University, Kunming, China"

 74a1336f1fbc8b7bb3b6e159711af1a91336ce22,An overview of traffic sign detection methods,"An overview of traffic sign detection methods
 Department of Electronics, Microelectronics, Computer and Intelligent Systems
 Faculty of Electrical Engineering and Computing
@@ -53319,10 +45003,6 @@ Timo Aila
 NVIDIA
 Jaakko Lehtinen
 NVIDIA and Aalto University"

-7405ed035d1a4b9787b78e5566340a98fe4b63a0,Self-Expressive Decompositions for Matrix Approximation and Clustering,"Self-Expressive Decompositions for
-Matrix Approximation and Clustering
-Eva L. Dyer, Member, IEEE, Tom A. Goldstein, Member, IEEE, Raajen Patel, Student Member, IEEE,
-Konrad P. K¨ording, and Richard G. Baraniuk, Fellow, IEEE"

 743bbf46557ec767f389c1ec5ac901ef64ffab37,DeepV2D: Video to Depth with Differentiable Structure from Motion,"DeepV2D: Video to Depth with Differentiable Structure from Motion
 Zachary Teed1
 Jia Deng1,2
@@ -53383,11 +45063,6 @@ Processing and Telecommunications,
 Computer Science Department,
 Computer Science Department,
 Faculty of Science and Technology,"

-74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0,Egocentric Video Description based on Temporally-Linked Sequences,"Egocentric Video Description based on Temporally-Linked Sequences
-Marc Bola˜nosa,b, ´Alvaro Perisc, Francisco Casacubertac, Sergi Solera, Petia Radevaa,b
-Universitat de Barcelona, Barcelona, Spain
-Computer Vision Center, Bellaterra, Spain
-PRHLT Research Center, Universitat Polit`ecnica de Val`encia, Val`encia, Spain"

 74032e526edb45bc6c79cb5576e69486e72a316d,Animated 3D Human Models for Use in Person Recognition Experiments,"Animated 3D Human Models for Use in Person Recognition Experiments
 Jean M. Vettel1,2,3, Justin Kantner1,2, Matthew Jaswa4, Michael Miller2
 U.S. Army Research Laboratory, 2University of California, Santa Barbara, 3University of
@@ -53445,16 +45120,6 @@ COULOMB GANS: PROVABLY OPTIMAL NASH EQUI-
 LIBRIA VIA POTENTIAL FIELDS
 Anonymous authors
 Paper under double-blind review"

-744108530678ee667b9c1220933bed074794d9e2,A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading,"Article
-A Scene Recognition and Semantic Analysis
-Approach to Unhealthy Sitting Posture Detection
-during Screen-Reading
-Weidong Min 1,2,* ID , Hao Cui 1 ID , Qing Han 1 and Fangyuan Zou 1
-School of Information Engineering, Nanchang University, Nanchang 330031, China;
-(H.C.); (Q.H.); (F.Z.)
-School of Software Engineering, Nanchang University, Nanchang 330029, China
-* Correspondence: Tel.: +86-791-8396-9277
-Received: 18 July 2018; Accepted: 29 August 2018; Published: 16 September 2018"

 744d23991a2c48d146781405e299e9b3cc14b731,Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TIP.2016.2535284, IEEE
 Transactions on Image Processing
 Aging Face Recognition: A Hierarchical Learning
@@ -53574,10 +45239,6 @@ recherche français ou étrangers, des laboratoires"
 02ccd5f0eb9a48a6af088197b950fb30a8e3abcc,Scaling for Multimodal 3D Object Detection,"Scaling for Multimodal 3D Object Detection
 Andrej Karpathy
 Stanford"

-02567fd428a675ca91a0c6786f47f3e35881bcbd,Deep Label Distribution Learning With Label Ambiguity,"ACCEPTED BY IEEE TIP
-Deep Label Distribution Learning
-With Label Ambiguity
-Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Member, IEEE, and Xin Geng, Member, IEEE"

 02f038ed453de0551813159284746126168f5e15,Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,"This is a pre-print version, the final version of the manuscript with more experiments can be found at:
 https://doi.org/10.1145/3038916
 Analysis for Cross-View Person Re-Identification
@@ -53604,26 +45265,6 @@ Selection of our books indexed in the Book Citation Index
 in Web of Science™ Core Collection (BKCI)
 Interested in publishing with us?
 Contact"

-0291b43490e02303c9414f03980e606950ec7261,Pose-conditioned joint angle limits for 3D human pose reconstruction,"Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction
-Ijaz Akhter, Michael J. Black
-Max Planck Institute for Intelligent Systems, Tübingen, Germany
-Figure 1: Joint-limit dataset. We captured a new dataset for learning pose-
-dependent joint angle limits. This includes an extensive variety of stretching
-poses. A few sample images are shown here. We use this dataset to learn
-pose-conditioned joint-angle limits. The dataset and the learned joint-angle
-model will be made publicly available.
-Figure 2: We use our joint-angle-limit prior for 3D pose estimation given
-D joint locations in an image. The proposed prior helps in reducing the
-space of possible solutions to only valid 3D human poses. Our prior can
-e also used for many other problems where estimating 3D human pose is
-mbiguous.
-Accurate modeling of priors over 3D human pose is fundamental to many
-problems in computer vision. Most previous priors are either not general
-enough for the diverse nature of human poses or not restrictive enough to
-void invalid 3D poses. We propose a physically-motivated prior that only
-llows anthropometrically valid poses and restricts the ones that are invalid.
-One can use joint-angle limits to evaluate whether two connected bones
-re valid or not. However, it is established in biomechanics that there are"

 0273414ba7d56ab9ff894959b9d46e4b2fef7fd0,Photographic home styles in Congress: a computer vision approach,"Photographic home styles in Congress: a
 omputer vision approach∗
 L. Jason Anastasopoulos†.
@@ -53635,10 +45276,6 @@ December 1, 2016"
 02fbf86b975c3f45b04de8288d1565cce8b53f62,A real-time pedestrian detection system based on structure and appearance classification,"Anchorage Convention District
 May 3-8, 2010, Anchorage, Alaska, USA
 978-1-4244-5040-4/10/$26.00 ©2010 IEEE"

-029317f260b3303c20dd58e8404a665c7c5e7339,Character Identification in Feature-Length Films Using Global Face-Name Matching,"Character Identification in Feature-Length Films
-Using Global Face-Name Matching
-Yi-Fan Zhang, Student Member, IEEE, Changsheng Xu, Senior Member, IEEE, Hanqing Lu, Senior Member, IEEE,
-nd Yeh-Min Huang, Member, IEEE"

 02cce8b08e4839d16f2142c5723fc009ccb4e3e1,Improving spatial codification in semantic segmentation,"IMPROVING SPATIAL CODIFICATION IN SEMANTIC SEGMENTATION
 Carles Ventura(cid:63)
 Kevin McGuinness†
@@ -53711,16 +45348,9 @@ Campus E1 4
 66123 Saarbrücken
 Germany
 m 4. February 2013 in Saarbrücken"

-02e17f547dd75eee7282af1b5ad2626829615ac9,"Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, MM YY
-Beyond Counting: Comparisons of Density Maps for Crowd
-Analysis Tasks - Counting, Detection, and Tracking
-Di Kang, Zheng Ma, Member, IEEE, Antoni B. Chan Senior Member, IEEE,"

 02a2c5b332d883d726929474060a7e62411c010a,Totally Corrective Multiclass Boosting with Binary Weak Learners,"SEPTEMBER 2010
 with Binary Weak Learners
 Zhihui Hao, Chunhua Shen, Nick Barnes, and Bo Wang"

-02601d184d79742c7cd0c0ed80e846d95def052e,Graphical Representation for Heterogeneous Face Recognition,"Graphical Representation for Heterogeneous
-Face Recognition
-Chunlei Peng, Xinbo Gao, Senior Member, IEEE, Nannan Wang, Member, IEEE, and Jie Li"

 0252256fa23eceb54d9eea50c9fb5c775338d9ea,Application-driven Advances in Multi-biometric Fusion,"Application-driven Advances
 in Multi-biometric Fusion
 dem Fachbereich Informatik
@@ -53851,12 +45481,6 @@ Reeach Sciei"
 022d74ae2f8680e780b18e0cbb041d5c5a57c7a5,Video Salient Object Detection via Fully Convolutional Networks,"Video Salient Object Detection via
 Fully Convolutional Networks
 Wenguan Wang, Jianbing Shen, Senior Member, IEEE, and Ling Shao, Senior Member, IEEE"

-02d7f9715cdce854d727ba763c81aae5b04d3a3b,Semantic Channels for Fast Pedestrian Detection,"Semantic Channels for Fast Pedestrian Detection
-Arthur Daniel Costea
-Sergiu Nedevschi
-Image Processing and Pattern Recognition Research Center
-Technical University of Cluj-Napoca, Romania
-{arthur.costea,"

 027beed800f7d5e20194caf6d689345045e8d0d4,Smoothed Dilated Convolutions for Improved Dense Prediction,"Smoothed Dilated Convolutions for Improved Dense Prediction
 Zhengyang Wang
 Washington State University
@@ -53915,10 +45539,6 @@ Tours, France
 Computer Science Department
 INSA Centre Val de Loire,
 Blois, France"

-0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad,Subspace Learning from Image Gradient Orientations,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
-Subspace Learning from Image Gradient
-Orientations
-Georgios Tzimiropoulos, Member, IEEE, Stefanos Zafeiriou Member, IEEE, and Maja Pantic Fellow, IEEE"

 02af5e40653b5a545b62aa6aebfaca6557f4173d,Sensor fusion for human safety in industrial workcells,"Sensor Fusion for Human Safety in Industrial Workcells*
 Paul Rybski1, Peter Anderson-Sprecher1, Daniel Huber1, Chris Niessl1, Reid Simmons1
 Figure 1: An example of our approach. (a) The workcell as seen
@@ -53937,20 +45557,6 @@ Scrambled Support Vector Vaulted Verification (S2V 3)
 Michael J. Wilber and Terrance E. Boult
 Vision and Security Technology Lab, UCCS
 Colorado Springs, CO, 80918, USA"

-02bee6bf61566cfc3963fe42b320a740a9458920,Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-Efficient Pedestrian Detection via Rectangular
-Features Based on a Statistical Shape Model
-Shanshan Zhang, Student Member, IEEE, Christian Bauckhage, Member, IEEE, and Armin B. Cremers"

-02b6acd8d1f2a5833a29b52766776fd70b3dbb56,Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels,"Memory-Efficient Deep Salient Object
-Segmentation Networks on Gridized Superpixels
-Caglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu
-Nokia Technologies, Tampere, Finland
-Corresponding Author’s Email:"

-0289786e0d5edf663c586c8552ec3708eff62331,Detecting Faces in Images: A Survey,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 1,
-JANUARY 2002
-Detecting Faces in Images: A Survey
-Ming-Hsuan Yang, Member, IEEE, David J. Kriegman, Senior Member, IEEE, and
-Narendra Ahuja, Fellow, IEEE"

 02e133aacde6d0977bca01ffe971c79097097b7f,Convolutional Neural Fabrics,

 023da8828f9c039c20ac9267a6b37813b74d4824,Free supervision from video games,"Free supervision from video games
 Philipp Kr¨ahenb¨uhl
@@ -54132,12 +45738,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de"

-ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3,Face Recognition Techniques : A Review,"International Journal of Engineering Research and Development
-e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com
-Volume 4, Issue 7 (November 2012), PP. 70-78
-Face Recognition Techniques: A Review
-Rajeshwar Dass, 2Ritu Rani, 3Dharmender Kumar
-,2,3 Deen Bandhu Chotu Ram University of Science & Technology Murthal, Haryana, India"

 bac748bf117cb5b06037413de92378b76ff358d0,Entropy-based sim(3) calibration of 2D lidars to egomotion sensors,"Entropy-Based Sim(3) Calibration of 2D Lidars to Egomotion Sensors
 Jacob Lambert1, Lee Clement1, Matthew Giamou2, and Jonathan Kelly1"

 ba816806adad2030e1939450226c8647105e101c,MindLAB at the THUMOS Challenge,"MindLAB at the THUMOS Challenge
@@ -54311,33 +45911,11 @@ BP 94, F-91191 Gif-sur-Yvette, France
 CNRS ; LAAS ;
 Université de Toulouse ; UPS, LAAS ;
 F-31077 Toulouse Cedex 4, France"

-656b6133fd671f129fce0091a8dab39c97e604f2,Multiview Discriminative Geometry Preserving Projection for Image Classification,"Hindawi Publishing Corporation
-e Scientific World Journal
-Volume 2014, Article ID 924090, 11 pages
-http://dx.doi.org/10.1155/2014/924090
-Research Article
-Multiview Discriminative Geometry Preserving
-Projection for Image Classification
-Ziqiang Wang, Xia Sun, Lijun Sun, and Yuchun Huang
-School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
-Correspondence should be addressed to Ziqiang Wang;
-Received 19 December 2013; Accepted 22 January 2014; Published 9 March 2014
-Academic Editors: X. Meng, Z. Zhou, and X. Zhu
-Copyright © 2014 Ziqiang Wang et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-In many image classification applications, it is common to extract multiple visual features from different views to describe an image.
-Since different visual features have their own specific statistical properties and discriminative powers for image classification, the
-onventional solution for multiple view data is to concatenate these feature vectors as a new feature vector. However, this simple
-oncatenation strategy not only ignores the complementary nature of different views, but also ends up with “curse of dimensionality.”
-To address this problem, we propose a novel multiview subspace learning algorithm in this paper, named multiview discriminative
-geometry preserving projection (MDGPP) for feature extraction and classification. MDGPP can not only preserve the intraclass"

 656a59954de3c9fcf82ffcef926af6ade2f3fdb5,Convolutional Network Representation for Visual Recognition,"Convolutional Network Representation
 for Visual Recognition
 ALI SHARIF RAZAVIAN
 Doctoral Thesis
 Stockholm, Sweden, 2017"

-65babb10e727382b31ca5479b452ee725917c739,Label Distribution Learning,"Label Distribution Learning
-Xin Geng*, Member, IEEE"

 65817963194702f059bae07eadbf6486f18f4a0a,WhittleSearch: Interactive Image Search with Relative Attribute Feedback,"http://dx.doi.org/10.1007/s11263-015-0814-0
 WhittleSearch: Interactive Image Search with Relative Attribute
 Feedback
@@ -54347,50 +45925,12 @@ Received: date / Accepted: date"
 for Large-Scale Image Classification
 Florent Perronnin, Jorge S´anchez, and Thomas Mensink
 Xerox Research Centre Europe (XRCE)"

-65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,"Multi-view Discriminative Manifold Embedding for Pattern Classification
-X. Wang
-Departmen of Information
-Zhenghzou 450053, China
-Y. Guo
-Department of Digestive
-Zhengzhou 450053, China
-Z. Wang
-Henan University of Technology
-Zhengzhou 450001, China"

 65d588e2ff7b4f2903efbeded978885f7da5d0e0,UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction,"UMPM benchmark: a multi-person dataset with synchronized video and motion
 apture data for evaluation of articulated human motion and interaction
 N.P. van der Aa1,2, X. Luo1, G.J. Giezeman1, R.T. Tan1, R.C. Veltkamp1
 {x.luo, g.j.giezeman, r.t.tan,
 Utrecht University
 Noldus Information Technology"

-65874dd7220664762b5b25f47460b623a7eb0175,Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis,"Sensors 2014, 14, 22643-22669; doi:10.3390/s141222643
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Article
-Tree Crown Mapping in Managed Woodlands (Parklands) of
-Semi-Arid West Africa Using WorldView-2 Imagery and
-Geographic Object Based Image Analysis
-Martin Karlson 1,*, Heather Reese 2,† and Madelene Ostwald 1,3,†
-Centre for Climate Science and Policy Research, Department of Thematic Studies/Environmental
-Change, Linköping University, Linköping 58183, Sweden; E-Mail:
-Section of Forest Remote Sensing, Department of Forest Resource Management,
-Swedish University of Agricultural Sciences, Umeå 901 83, Sweden; E-Mail:
-Centre for Environment and Sustainability, GMV, University of Gothenburg and
-Chalmers University of Technology, Göteborg 405 30, Sweden
-These authors contributed equally to this work.
-*  Author to whom correspondence should be addressed; E-Mail:
-Tel.: +46-1328-2977; Fax: +46-1313-3630.
-External Editor: Assefa M. Melesse"

-65cea66a59a4e75c8403daf3589f81627d5afd12,Social Behavior Prediction from First Person Videos,"Social Behavior Prediction from First Person Videos
-Shan Su
-UPenn
-Jung Pyo Hong
-KAIST
-Jianbo Shi
-UPenn
-Hyun Soo Park"

 653942873bc7ea6f1056739dc5015ec3631d9bbe,Face Detection Techniques-A Review,"International Journal of Current Engineering and Technology
 ISSN 2277 - 4106
 © 2013 INPRESSCO. All Rights Reserved.
@@ -54410,9 +45950,6 @@ Deb Roy
 MIT Media Lab
 0 Ames Street, E15-488
 Cambridge, Massachusetts 02139"

-65539436abf0eedabeb915a52f787b962722c99a,Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation,"Satellite Image Classification via Two-Layer Sparse
-Coding With Biased Image Representation
-Dengxin Dai and Wen Yang, Member, IEEE"

 65edab091e437d3b9d093dcb8be7c5dc4ce0fe0f,DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation,"DeepOrgan: Multi-level Deep Convolutional
 Networks for Automated Pancreas Segmentation
 Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu,
@@ -54476,10 +46013,6 @@ Duration: 48 months
 Organisation name of lead contractor for this deliverable: UJI
 Revision: Revised version, June 2007
 Dissemination level: PU"

-653d19e64bd75648cdb149f755d59e583b8367e3,"Decoupling ""when to update"" from ""how to update""","Decoupling “when to update” from “how to
-update”
-Eran Malach and Shai Shalev-Shwartz
-School of Computer Science, The Hebrew University, Israel"

 652d3f33fd0a99808dd646aed228b45eacdaf34f,A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters,"A Framework for Binding and Retrieving
 Class-Specific Information to and from Image
 Patterns using Correlation Filters
@@ -54538,8 +46071,6 @@ ImageNet offers disambiguated la-
 els (LabelDisam), clean annotations (Clean), a dense hierarchy
 (DenseHie), full resolution images (FullRes) and is publicly avail-"

 a67e7ca0c7e1e3020169b5c59dc492e9f62f0022,FACE RECOGNITION PERFORMANCE UNDER ADVERSARIAL CONDITIONS,

-a65c76169bdb8479353806556f61bf94fdec7e10,Online Object Tracking With Sparse Prototypes,"Online Object Tracking With Sparse Prototypes
-Dong Wang, Huchuan Lu, Member, IEEE, and Ming-Hsuan Yang, Senior Member, IEEE"

 a6ebe013b639f0f79def4c219f585b8a012be04f,Facial Expression Recognition Based on Hybrid Approach,"Facial Expression Recognition Based on Hybrid
 Approach
 Md. Abdul Mannan, Antony Lam, Yoshinori Kobayashi, and Yoshinori Kuno
@@ -54648,9 +46179,6 @@ Yuan, Yu-Bo; East China University of Science and Technology, Department
 of Computer Science and Engineering
 Keyword:  IMAGE PROCESSING, IMAGE RECOGNITION, IMAGE RETRIEVAL
 IET Review Copy Only"

-a608c5f8fd42af6e9bd332ab516c8c2af7063c61,Age Estimation via Grouping and Decision Fusion,"Age Estimation via Grouping and Decision Fusion
-Kuan-Hsien Liu, Member, IEEE, Shuicheng Yan, Senior Member, IEEE,
-nd C.-C. Jay Kuo, Fellow, IEEE"

 a66373beaad40fb5a8e2e1b42c5a2213b166a55c,Childhood abuse is related to working memory impairment for positive emotion in female university students.,"Childhood abuse is related to working memory impairment for positive
 emotion in female university students
 Cromheeke S, Herpoel LA, Mueller SC.
@@ -54668,10 +46196,6 @@ CONS ID: sn 94001296
 US National Library of Medicine ID: 9602869
 This article was identified from a query of the SafetyLit database.
 Powered by TCPDF (www.tcpdf.org)"

-a6574d111bfb12d6a9988bdbbf24639d3c4534ec,Image denoising: Can plain neural networks compete with BM3D?,"Image denoising: Can plain Neural Networks compete with BM3D?
-Harold C. Burger, Christian J. Schuler, and Stefan Harmeling
-Max Planck Institute for Intelligent Systems, T¨ubingen, Germany
-http://people.tuebingen.mpg.de/burger/neural_denoising/"

 a66d89357ada66d98d242c124e1e8d96ac9b37a0,Failure Detection for Facial Landmark Detectors,"Failure Detection for Facial Landmark Detectors
 Andreas Steger, Radu Timofte, and Luc Van Gool
 Computer Vision Lab, D-ITET, ETH Zurich, Switzerland
@@ -54684,22 +46208,6 @@ D Interpreter Networks for Viewer-Centered Wireframe Modeling
 Jiajun Wu1 · Tianfan Xue2 · Joseph J. Lim3 · Yuandong Tian4 ·
 Joshua B. Tenenbaum1 · Antonio Torralba1 · William T. Freeman1,5
 Received: date / Accepted: date"

-db67edbaeb78e1dd734784cfaaa720ba86ceb6d2,SPECFACE — A dataset of human faces wearing spectacles,"SPECFACE - A Dataset of Human Faces Wearing Spectacles
-Anirban Dasgupta, Shubhobrata Bhattacharya and Aurobinda Routray
-Indian Institute of Technology Kharagpur
-India"

-dbe101c7c4b5ea5986be38e4d6de70bfc4324683,1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4,"Preprints (www.preprints.org)  |  NOT PEER-REVIEWED  |  Posted: 29 October 2018                   doi:10.20944/preprints201809.0361.v3
-Article
-Deep convolutional neural networks capabilities for
-inary classification of polar mesocyclones in
-satellite mosaics
-Mikhail Krinitskiy 1,*, Polina Verezemskaya 1,2, Kirill Grashchenkov1,3, Natalia Tilinina1,
-Sergey Gulev1 and Matthew Lazzara 4
-Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia;
-Research Computing Center of Lomonosov Moscow State University, Moscow, Russia
-Moscow Institute of Physics and Technology, Moscow, Russia
-University of Wisconsin-Madison and Madison Area Technical College, Madison, Wisconsin, USA
-*  Correspondence: Tel.: +7-926-141-6200"

 dbf360fa9997b2918a8076f1d0df9a1fffa94ed7,Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists,"Recommending and Planning Trip Itineraries for Individual Travellers and
 Groups of Tourists
 *Department of Computing and Information Systems, The University of Melbourne, Australia
@@ -54749,12 +46257,6 @@ Department of Electrical and Information Engineering,
 Covenant University,
 Ota, Ogun state, Nigeria
 Corresponding Author:"

-db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly","Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
-All-in Text: Learning Document, Label, and Word Representations Jointly
-Jinseok Nam, Eneldo Loza Menc´ıa, Johannes F¨urnkranz
-Knowledge Discovery in Scientific Literature, TU Darmstadt
-Knowledge Engineering Group, TU Darmstadt
-Research Training Group AIPHES, TU Darmstadt"

 db480f100004e3ef075f9404041fe4f89fcf4e0c,Human Pose Estimation for RGBD Imagery with Multi-Channel Mixture of Parts and Kinematic Constraints,"Human Pose Estimation for RGBD Imagery with Multi-Channel
 Mixture of Parts and Kinematic Constraints
 ENRIQUE MARTINEZ-BERTI
@@ -54795,13 +46297,6 @@ CenterforAutomationResearch
 UniversityofMaryland
 Princeton,NJ
 CollegePark,MD
-dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,"Original Loop-closure Detection Algorithm for
-Monocular vSLAM
-Andrey Bokovoy1,3 and Konstantin Yakovlev2,3
-Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia
-Higher School of Economics, Moscow, Russia
-Institute for Systems Analysis of Federal Research Centre ""Computer Science and
-Control"" of Russian Academy of Sciences, Moscow, Russia"

 db68105a787d7ef60ebb5bb4cfce151d47748123,Improved RGB-D-T based face recognition,"Aalborg Universitet
 Improved RGB-D-T based Face Recognition
 Oliu Simon, Marc;   Corneanu, Ciprian; Nasrollahi, Kamal; Nikisins, Olegs; Guerrero, Sergio
@@ -54822,18 +46317,6 @@ nd it is a condition of accessing publications that users recognise and abide by
 ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
 ? You may not further distribute the material or use it for any profit-making activity or commercial gain
 ? You may freely distribute the URL identifying the publication in the public portal ?"

-dbe255d3d2a5d960daaaba71cb0da292e0af36a7,Evolutionary Cost-Sensitive Extreme Learning Machine,"Evolutionary Cost-sensitive Extreme Learning
-Machine
-Lei Zhang, Member, IEEE, and David Zhang, Fellow, IEEE"

-dbcb6b4c0d73159ad4bc833fa4209b9600025fa5,Eleventh International Multi-Conference on Information Processing-2015 ( IMCIP-2015 ) Analysis of Attention Identification and Recognition of Faces through Segmentation and Relative Visual Saliency ( SRVS ),"Available online at www.sciencedirect.com
-ScienceDirect
-Procedia Computer Science   54  ( 2015 )  756 – 763
-Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015)
-Analysis of Attention Identification and Recognition of Faces
-through Segmentation and Relative Visual Saliency (SRVS)
-, Jogendra Garain, Goutam Sanyal and Dakshina Ranjan Kisku
-Ravi Kant Kumar
-Computer Science and Engineering Department, National Institute of Technology, Durgapur, India"

 dbaf89ca98dda2c99157c46abd136ace5bdc33b3,Nonlinear Cross-View Sample Enrichment for Action Recognition,"Nonlinear Cross-View Sample Enrichment for
 Action Recognition
 Ling Wang, Hichem Sahbi
@@ -54849,10 +46332,6 @@ dbb0a527612c828d43bcb9a9c41f1bf7110b1dc8,Machine Learning Techniques for Face An
 Machine Learning Techniques
 for Face Analysis
 Roberto Valenti, Nicu Sebe, Theo Gevers, and Ira Cohen"

-dbb7b563e84903dad4953a8e9f23e3c54c6d7e78,Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras,"Joint Person Re-identification and Camera Network
-Topology Inference in Multiple Cameras
-Yeong-Jun Cho, Su-A Kim*, Jae-Han Park*, Kyuewang Lee, Student Member, IEEE
-nd Kuk-Jin Yoon, Member, IEEE"

 db227f72bb13a5acca549fab0dc76bce1fb3b948,Characteristic Based Image Search Using Re-Ranking Method,"International Refereed Journal of Engineering and Science (IRJES)
 ISSN (Online) 2319-183X, (Print) 2319-1821
 Volume 4, Issue 6 (June 2015), PP.169-169-174
@@ -54918,20 +46397,6 @@ Multiple Instance Support Vector Machines
 Nuno Barroso Monteiro1,2, Jo˜ao Pedro Barreto2, and Jos´e Gaspar1
 Institute for Systems and Robotics (ISR/IST), LARSyS, Univ. of Lisbon, Portugal
 Institute for Systems and Robotics, Univ. of Coimbra, Portugal"

-31f1c4cf34ce0bb35382c35b2f468cf72bffae0b,Are spatial and global constraints really necessary for segmentation?,"Are Spatial and Global Constraints Really Necessary for Segmentation?
-Aur´elien Lucchi1
-Yunpeng Li1
-Computer Vision Laboratory, EPFL, Lausanne
-Xavier Boix2
-Kevin Smith1
-Pascal Fua1
-BIWI, ETH Zurich"

-31d007eda3aca9c5114559ddd1f80c5275f3a84f,A Suitable Adaptive Illumination Compensation Method for Face Detection,"Proceedings of the 2nd International Conference on Industrial Application Engineering 2014
-A Suitable Adaptive Illumination Compensation Method for Face
-Detection
-Liu Yong-Jun*,    Xie Cong-Hua
-Department of Computer Science and Engineering,Changshu Institute of Technology, Changshu 215500,China
-* Corresponding Author:"

 318ee553c61888f2418280cb1d342c698d3444c9,Towards face unlock: on the difficulty of reliably detecting faces on mobile phones,"Towards Face Unlock: On the Difficulty of Reliably
 Detecting Faces on Mobile Phones
 Rainhard D. Findling
@@ -54944,10 +46409,6 @@ Department for Mobile Computing
 Upper Austria University of Applied Sciences
 Department for Mobile Computing
 Upper Austria University of Applied Sciences"

-31a2fb63a3fc67da9932474cda078c9ac43f85c5,Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels,"Kernel Methods on Riemannian Manifolds with
-Gaussian RBF Kernels
-Sadeep Jayasumana, Student Member, IEEE, Richard Hartley, Fellow, IEEE,
-Mathieu Salzmann, Member, IEEE, Hongdong Li, Member, IEEE, and Mehrtash Harandi, Member, IEEE"

 3130eb9bfab5e5a095ab989ba3cc6a2ec62c156d,Generating Facial Ground Truth with Synthetic Faces,"Generating Facial Ground Truth with Synthetic Faces
 Rossana Queiroz, Marcelo Cohen, Juliano L. Moreira, Adriana Braun, J´ulio C. Jacques J´unior, Soraia Raupp Musse
 Pontif´ıcia Universidade Cat´olica do Rio Grande do Sul - PUCRS
@@ -55008,11 +46469,6 @@ Ibrahim E. Ziedan
 Dept of Computer and Systems Engineering,
 Professor
 Zagazig University, Sharkia, Egypt"

-312b5c73d79ae80f9f8e4573118d372cf29a80e8,Multiple object video tracking using GRASP-MHT,"Multiple object video tracking using GRASP-MHT
-Xiaoyi Ren
-, Zhipei Huang, Dongyan Liu and Jiankang Wu
-Graduate University of Chinese Academy of Sciences, Beijing, China
-Email: Tel: +86 10 88256015"

 316e67550fbf0ba54f103b5924e6537712f06bee,Multimodal semi-supervised learning for image classification,"Multimodal semi-supervised learning
 for image classification
 Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
@@ -55063,9 +46519,6 @@ Ali Elqursh
 Google Research
 600 Amphitheater Parkway
 {vahid,"

-318e7e6daa0a799c83a9fdf7dd6bc0b3e89ab24a,Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application,"Sparsity in Dynamics of Spontaneous
-Subtle Emotions: Analysis & Application
-Anh Cat Le Ngo, Member, IEEE, John See, Member, IEEE, Raphael C.-W. Phan, Member, IEEE"

 3107486fe666a3004b720125bd2b05ff9382fdb8,Generalized two-dimensional linear discriminant analysis with regularization,"JOURNAL OF LATEX CLASS FILES, VOL.
 , NO.
 Generalized two-dimensional linear discriminant
@@ -55076,9 +46529,6 @@ Mengyue Geng
 Yaowei Wang
 Tao Xiang
 Yonghong Tian"

-31ea778b6f5c9c2653eb2bed307ac7b02bcc6894,Dense error correction via l1-minimization,"IEEE TRANS. ON INFORMATION THEORY, 2009.
-Dense Error Correction via (cid:96)1-Minimization
-John Wright, Member, and Yi Ma, Senior Member."

 3174fceef3cf09ac35e8d1eb4e1b8b73a3b2c713,Unsupervised learning from videos using temporal coherency deep networks,"Computer Vision and Image Understanding
 journal homepage: www.elsevier.com
 Unsupervised learning from videos using temporal coherency deep networks
@@ -55212,10 +46662,6 @@ in Web of Science™ Core Collection (BKCI)
 Interested in publishing with us?
 Contact
 Numbers displayed above are based on latest data collected."

-c7c21e78bdadd1d2d98c43f0be3230e59f008b27,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,"Heterogeneous Face Attribute Estimation:
-A Deep Multi-Task Learning Approach
-Hu Han, Member, IEEE, Anil K. Jain, Fellow, IEEE, Fang Wang,
-Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE"

 c72914e2e999c99753d1d0058c459af69af6662a,CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation,"MACKOWIAK ET AL.: CEREALS
 CEREALS – Cost-Effective REgion-based
 Active Learning for Semantic Segmentation
@@ -55245,15 +46691,6 @@ Shreyas Saxena
 Jakob Verbeek
 INRIA Grenoble, Laboratoire Jean Kuntzmann"

 c71f71200fc85d9fdbd5b3d8b4b6a9daf5a2b424,Machine Learning for Image Based Motion Capture,"INSTITUTNATIONALPOLYTECHNIQUEDEGRENOBLENum´eroattribu´eparlabiblioth`equeTH`ESEpourobtenirlegradedeDOCTEURDEL’INSTITUTNATIONALPOLYTECHNIQUEDEGRENOBLESp´ecialit´e:Imagerie,VisionetRobotiqueEcoleDoctorale:Math´ematiques,SciencesetTechnologiedel’Informationpr´esent´eeetsoutenuepubliquementparAnkurAgarwalle26Avril2006MachineLearningforImageBasedMotionCaptureDirecteurdeth`ese:M.WilliamTriggsJURYM.RogerMohrPr´esidentM.AndrewZissermanRapporteurM.PascalFuaRapporteurM.WilliamTriggsDirecteurdeth`eseM.PhilipTorrExaminateurTh`esepr´epar´eedanslelaboratoireGRAVIR–IMAGauseinduprojetLEARINRIARhˆone-Alpes,655avenuedel’Europe,38334SaintIsmier,France."

-c78fdd080df01fff400a32fb4cc932621926021f,Robust Automatic Facial Expression Detection Method,"Robust Automatic Facial Expression Detection
-Method
-Institute for Pattern Recognition and Artificial Intelligence/ Huazhong University of Science and Technology, Wuhan,
-Institute for Pattern Recognition and Artificial Intelligence/ Huazhong University of Science and Technology, Wuhan,
-Yan Ouyang
-China
-Nong Sang
-China
-Email:"

 c7f80cd585117ae7028148c38ddce8e63b311ba5,Real-Time Face Detection and Recognition via Local Binary Pattern Plus Sample Selective Biomimetic Pattern Recognition,"IEICE TRANS. INF. & SYST., VOL.E96–D, NO.3 MARCH 2013
 PAPER SpecialSectiononFacePerceptionandRecognition
 Real-Time Face Detection and Recognition via Local Binary
@@ -55511,12 +46948,6 @@ Master Programme in Geomatics
 Supervisor: Dr. Julia Åhlén
 Examiner: Prof. Dr. Bin Jiang
 Assistant examiner: Ding Ma"

-944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Crystal Loss and Quality Pooling for
-Unconstrained Face Verification and Recognition
-Rajeev Ranjan, Member, IEEE, Ankan Bansal, Hongyu Xu, Member, IEEE,
-Swami Sankaranarayanan, Member, IEEE, Jun-Cheng Chen, Member, IEEE,
-Carlos D Castillo, Member, IEEE, and Rama Chellappa, Fellow, IEEE"

 940ab36a8b2cdf6cb6a08093bd382ad375717942,Human violence recognition and detection in surveillance videos,"Human Violence Recognition and Detection in Surveillance Videos
 Piotr Bilinski
 nd Francois Bremond
@@ -55562,22 +46993,7 @@ Faculty of Engineering, International Islamic University, Jalan Gombak, 53100 Ku
 USING GAN-BASED CLASSIFICATION
 Komei Sugiura and Hisashi Kawai
 National Institute of Information and Communications Technology, Japan"

-9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73,A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database,"A Benchmark and Comparative Study of
-Video-Based Face Recognition
-on COX Face Database
-Zhiwu Huang, Student Member, IEEE, Shiguang Shan, Senior Member, IEEE,
-Ruiping Wang, Member, IEEE, Haihong Zhang, Member, IEEE,
-Shihong Lao, Member, IEEE, Alifu Kuerban,
-nd Xilin Chen, Senior Member, IEEE"

 94a11b601af77f0ad46338afd0fa4ccbab909e82,"Title of dissertation : EFFICIENT SENSING , SUMMARIZATION AND CLASSIFICATION OF VIDEOS",

-94b9c0a6515913bad345f0940ee233cdf82fffe1,Face Recognition using Local Ternary Pattern for Low Resolution Image,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Face Recognition using Local Ternary Pattern for
-Low Resolution Image
-Vikas1, Amanpreet Kaur2
-Research Scholar, CGC Group of Colleges, Gharuan, Punjab, India
-Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Gharuan, Punjab, India"

 94eeae23786e128c0635f305ba7eebbb89af0023,On the Emergence of Invariance and Disentangling in Deep Representations,"Journal of Machine Learning Research 18 (2018) 1-34
 Submitted 01/17; Revised 4/18; Published 6/18
 Emergence of Invariance and Disentanglement
@@ -55674,19 +47090,6 @@ Chen Du1,2, Chunheng Wang1, Cunzhao Shi1, Baihua Xiao1
 Institute of Automation, Chinese Academy of Sciences(CASIA)
 University of Chinese Academy of Sciences(UCAS)
 {duchen2016, chunheng.wang, cunzhao.shi,"

-94826cb68980e3b89118569c93cfd36f3945fa99,Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability,"Dudding-Byth et al. BMC Biotechnology  (2017) 17:90
-DOI 10.1186/s12896-017-0410-1
-Open Access
-R ES EAR CH A R T I C LE
-Computer face-matching technology using
-two-dimensional photographs accurately
-matches the facial gestalt of unrelated
-individuals with the same syndromic form
-of intellectual disability
-Tracy Dudding-Byth1,2,3,11*†
-Susan M. White5,6, John Attia3,4, Han Brunner7, Bert de Vries7, David Koolen7, Tjitske Kleefstra7, Seshika Ratwatte4,8,
-Carlos Riveros3, Steve Brain9 and Brian C. Lovell9,10
-, Anne Baxter1†, Elizabeth G. Holliday3,4, Anna Hackett1,4,11, Sheridan O’Donnell1,"

 940a675de8a48b54bac6b420f551529d2bc53b99,"Advances , Challenges , and Opportunities in Automatic Facial Expression Recognition","Advances, Challenges, and Opportunities in
 Automatic Facial Expression Recognition
 Brais Martinez and Michel F. Valstar"

@@ -55774,26 +47177,6 @@ Queen Mary College, London
 England, UK
 England, UK
 England, UK"

-b37f57edab685dba5c23de00e4fa032a3a6e8841,Towards social interaction detection in egocentric photo-streams,"Towards Social Interaction Detection in Egocentric Photo-streams
-Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva
-University of Barcelona and Computer Vision Centre, Barcelona, Spain
-Recent advances in wearable camera technology have
-led to novel applications in the field of Preventive Medicine.
-For some of them, such as cognitive training of elderly peo-
-ple by digital memories and detection of unhealthy social
-trends associated to neuropsychological disorders, social in-
-teraction are of special interest. Our purpose is to address
-this problem in the domain of egocentric photo-streams cap-
-tured by a low temporal resolution wearable camera (2fpm).
-These cameras are suited for collecting visual information
-for long period of time, as required by the aforementioned
-pplications. The major difficulties to be handled in this
-ontext are the sparsity of observations as well as the unpre-
-dictability of camera motion and attention orientation due
-to the fact that the camera is worn as part of clothing (see
-Fig. 1). Inspired by the theory of F-formation which is a
-pattern that people tend to follow when interacting [5], our
-proposed approach consists of three steps: multi-faces as-"

 b3d8705d46a1d63b40a76bbcf8822b2e90b3b9ad,Efficient Labelling of Pedestrian Supervisions,"Electronic Letters on Computer Vision and Image Analysis 15(1):77-99, 2016
 Efficient Labelling of Pedestrian Supervisions
 Kyaw Kyaw Htike
@@ -55858,12 +47241,6 @@ Quality Embedding
 Jiangchao Yao, Jiajie Wang,
 Ivor Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang"

 b32631f456397462b3530757f3a73a2ccc362342,Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

-b3c398da38d529b907b0bac7ec586c81b851708f,Removing Shadows from Face Images Using ICA,"Face Recognition under Varying Lighting Conditions Using Self Quotient
-Haitao Wang, 2Stan Z Li, 1Yangsheng Wang
-Image
-Institute of Automation, Chinese Academy of
-Sciences, Beijing, 100080, China,
-Email:"

 b32cf547a764a4efa475e9c99a72a5db36eeced6,Mimicry of ingroup and outgroup emotional expressions,"UvA-DARE (Digital Academic Repository)
 Mimicry of ingroup and outgroup emotional expressions
 Sachisthal, M.S.M.; Sauter, D.A.; Fischer, A.H.
@@ -55962,18 +47339,6 @@ Associate Professor,
 School of Computer Engineering
 E-mail:
 August 2010"

-b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,"GUNE ET AL: STRUCTURE ALIGNING DISCRIMINATIVE LATENT EMBEDDING FOR ZSL 1
-Structure Aligning Discriminative Latent
-Embedding for Zero-Shot Learning
-Omkar Gune
-Biplab Banerjee
-Subhasis Chaudhuri
-Indian Institute of Technology Bombay,
-Mumbai, India
-Indian Institute of Technology Bombay,
-Mumbai, India
-Indian Institute of Technology Bombay,
-Mumbai, India"

 b30bdbad88c72938c476f1ea6827d8b10c300da4,Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos,"Supervised Mixed Norm Autoencoder for Kinship
 Verification in Unconstrained Videos
 Naman Kohli, Student Member, IEEE, Daksha Yadav, Student Member, IEEE, Mayank Vatsa,
@@ -56045,13 +47410,6 @@ A Label Propagation Approach for
 Predicting Missing Biographic Labels
 in Face-Based Biometric Records
 Thomas Swearingen and Arun Ross"

-3d7a5d1fbec861542631fcb10f58e38f4f51a04c,Face Recognition Application of Blur-Robust Pitta,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Face Recognition Application of Blur-Robust
-Pitta Santhosh Kumar1, Ankush Jain2
-M.Tech student, Department of CSE, Anurag Group of Institutions, Hyderabad, India
-Assistant professor, Department of CSE, Anurag Group of Institutions, Hyderabad, India"

 3d8c8acb8c59e9f23f048f44a23f36ffd791cdf5,Visual tracking over multiple temporal scales,"Khan, Muhammad Haris (2015) Visual tracking over
 multiple temporal scales. PhD thesis, University of
 Nottingham.
@@ -56123,12 +47481,6 @@ Knexus Research Corporation;
 74 Waterfront Street Suite 310; National Harbor, MD 20745
 Navy Center for Applied Research in Artificial Intelligence;
 Naval Research Laboratory (Code 5514); Washington, DC 20375"

-3d6229044f6605604818f39f08c5270a5a132a03,Projective Nonnegative Matrix Factorization based on α-Divergence,"Projective Nonnegative Matrix Factorization based on
--Divergence
-Zhirong Yang and Erkki Oja
-Department of Information and Computer Science∗
-Aalto University School of Science and Technology
-P.O.Box 15400, FI-00076, Aalto, Finland"

 3ddb88f9294e962dfd9c99c5864b2b8690b56d90,Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing,"Multimodal image alignment
 through a multiscale chain of neural networks
 with application to remote sensing
@@ -56140,18 +47492,11 @@ TAU team, INRIA, LRI, Universit´e Paris-Sud, France"
 Confidential Draft: DO NOT DISTRIBUTE
 Composite-ISA Cores: Enabling Multi-ISA Heterogeneity
 Using a Single ISA"

-3db123d094c7ba33bbd3c4ccbea77e2093ad6174,Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, X XXXX
-A Labeled Random Finite Set Online
-Multi-Object Tracker for Video Data
-Du Yong Kim, Ba-Ngu Vo, Member, IEEE, and Ba-Tuong Vo, Member, IEEE"

 3df7401906ae315e6aef3b4f13126de64b894a54,Robust learning of discriminative projection for multicategory classification on the Stiefel manifold,"Robust Learning of Discriminative Projection for Multicategory Classification on
 the Stiefel Manifold
 Duc-Son Pham and Svetha Venkatesh
 Dept. of Computing, Curtin University of Technology
 GPO Box U1987, Perth, WA 6845, Australia"

-3da12b99cd8040bb374eed160f8016b3fe492967,Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context,"Multi-person Tracking by Online Learned Grouping
-Model with Non-linear Motion Context
-Xiaojing Chen, Zhen Qin, Le An, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

 3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8,Recognizing Human Actions by Using Effective Codebooks and Tracking,"Recognizing Human Actions by using Effective
 Codebooks and Tracking
 Lamberto Ballan, Lorenzo Seidenari, Giuseppe Serra, Marco Bertini and Alberto
@@ -56183,16 +47528,6 @@ in our experiments (aPY-25). In each figure, attribute groups are enclosed in s
 font labeling the boxes indicate the rationale for the grouping.
 .2 Features
 (see also Sec 3.2 and para on Features in Sec 4 in the paper)"

-3da97d97b12fcf22208c36f471119f33a08d9b6f,Multi-modal Biometric system using ear and face ( 2 D + 3 D ) Modalities,"Multi-modal Biometric system using ear and
-face(2D+3D) Modalities
-M.Pujitha Raj
-Computer Science and engineering
-Amrita University
-Coimbatore, India
-B.Achyut Sarma
-Computer Science and engineering
-Amrita University
-Coimbatore, India"

 3da9a9091cfa8f4bf625829faf7a4c35a8fe91e0,Working memory network alterations in high-functioning adolescents with an autism spectrum disorder.,"PDF hosted at the Radboud Repository of the Radboud University
 Nijmegen
 The following full text is a publisher's version.
@@ -56280,14 +47615,6 @@ Mount Sinai School of Medicine
 (cid:13) IEEE2000
 230 York Avenue, New York, NY 10021
 One Gustave L. Levy Place, New York, NY 10029"

-3d1b0c7e9ef0e31dd635041539e795dc07ebee86,Tracking people in 3D using a bottom-up top-down detector,"Tracking People in 3D Using a Bottom-Up Top-Down Detector
-Luciano Spinello, Matthias Luber and Kai O. Arras
-Social Robotics Lab, University of Freiburg, Germany
-{spinello, luber,"

-3dd1338a5d0aa47fa2aef31654ee1392b8089991,Crowdsourcing the construction of a 3D object recognition database for robotic grasping,"014 IEEE International Conference on Robotics & Automation (ICRA)
-Hong Kong Convention and Exhibition Center
-May 31 - June 7, 2014. Hong Kong, China
-978-1-4799-3685-4/14/$31.00 ©2014 IEEE"

 3d7fce66c1880f4b29171e415cfad57d8b96ced2,Exploiting Ambiguities in the Analysis of Cumulative Matching Curves for Person Re-identification,

 3dad8d0b5185503b3281bdeda10b9904ea19da50,Using probabilistic graphical models to detect dynamic objects for mobile robots by Daniek Brink,"Using probabilistic graphical models to detect
 dynamic objects for mobile robots
@@ -56299,10 +47626,6 @@ Co-promoter:
 Dr C.E. van Daalen
 Prof. B.M. Herbst
 December 2016"

-3d62b2f9cef997fc37099305dabff356d39ed477,Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition,"Joint Face Alignment and 3D Face
-Reconstruction with Application to Face
-Recognition
-Feng Liu, Qijun Zhao, Member, IEEE, Xiaoming Liu, Member, IEEE and Dan Zeng"

 3d5a1be4c1595b4805a35414dfb55716e3bf80d8,Hidden Two-Stream Convolutional Networks for Action Recognition,"Hidden Two-Stream Convolutional Networks for
 Action Recognition
 Yi Zhu, Zhenzhong Lan, Shawn Newsam, Alexander G. Hauptmann"

@@ -56310,26 +47633,6 @@ Yi Zhu, Zhenzhong Lan, Shawn Newsam, Alexander G. Hauptmann"
 Discovering Attribute Shades of Meaning with the Crowd
 Adriana Kovashka · Kristen Grauman
 Received: date / Accepted: date"

-3d67e97227846f579d1825e00d395d30e17f5d0e,Face and ECG Based Multi-Modal Biometric Authentication,"Face and ECG Based Multi-Modal
-Biometric Authentication
-Ognian Boumbarov1, Yuliyan Velchev1, Krasimir Tonchev1
-nd Igor Paliy2
-Technical University of Sofia
-Ternopil National Economic University
-Bulgaria
-Ukraine
-. Introduction
-A biometric system is essentially a pattern recognition system. This system measures
-nd analyses human body physiological characteristics, such as face and facial features,
-fingerprints, eye, retinas, irises, voice patterns or behavioral characteristic for enrollment,
-verification or identification (Bolle & Pankanti, 1998). Uni-modal biometric systems have
-poor performance and accuracy, and over last few decades the multi-modal biometric systems
-have become very popular. The main objective of multi biometrics is to reduce one or more
-false accept rate, false reject rate and failure to enroll rate. Face Recognition (FR) is still
-onsidered as one of the most challenging problems in pattern recognition. The FR systems
-try to recognize the human face in video sequences as 3D object (Chang et al., 2003; 2005), in
-unconstrained conditions, in comparison to the early attempts of 2D frontal faces in controlled
-onditions. Despite the effort spent on research today there is not a single, clearly defined,"

 3d5b8127ce57279f9fd77d3a24d8034b485163a4,System ( tm ) for Image and Vision Computing Manuscript Draft Manuscript Number : IMAVIS-D16-00270 R 2 Title : Extended three-dimensional rotation invariant local binary patterns,"Elsevier Editorial System(tm) for Image and
 Vision Computing
 Manuscript Draft
@@ -56368,12 +47671,6 @@ Hatfield AL10 9AB, UK
 Margaret Hartnett
 GBG plc
 London E14 9QD, UK"

-3da4fa2365c01f53180050c7d332107089d913c0,Face Recognition Using Parzenfaces,"Face Recognition Using Parzenfaces
-Zhirong Yang and Jorma Laaksonen
-Laboratory of Computer and Information Science ⋆
-Helsinki University of Technology
-P.O. Box 5400, FI-02015 TKK, Espoo, Finland
-{zhirong.yang,"

 3dbb2ca6942eb49538d92823fe22c7475e866ca1,Institutionen för systemteknik Department of Electrical Engineering Examensarbete Autonomous Morphometrics using Depth Cameras for Object Classification and Identification,"Institutionen för systemteknik
 Department of Electrical Engineering
 Examensarbete
@@ -56401,26 +47698,6 @@ Julia Lasserre1, Katharina Rasch1 and Roland Vollgraf
 Zalando Research, Muehlenstr. 25, 10243 Berlin, Germany
 Keywords:
 omputer vision, deep learning, fashion, item recognition, street-to-shop"

-ef3697668eb643de27995827c630cfd029b10c37,Online self-supervised multi-instance segmentation of dynamic objects,"014 IEEE International Conference on Robotics & Automation (ICRA)
-Hong Kong Convention and Exhibition Center
-May 31 - June 7, 2014. Hong Kong, China
-978-1-4799-3685-4/14/$31.00 ©2014 IEEE"

-ef9081d153f96b96183666a5086c63cecf2f33e6,D Face Recognition Using Radon Transform and Symbolic PCA,"International Journal of Electronics and Computer Science Engineering           2342
-Available Online at www.ijecse.org                                                       ISSN- 2277-1956
-D Face Recognition Using Radon Transform and
-Symbolic PCA
-P. S. Hiremath  1, Manjunath Hiremath  2
-2Departmentof Computer Science
-Gulbarga University, Gulbarga-585106
-Karnataka, India"

-efb56e7488148d52d3b8a2dae9f8880b273f4226,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender
-nd Identity Recognition in Organizing Photo
-Albums using Multi-output CNN
-Andrey V. Savchenko
-Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of
-Mathematics
-National Research University Higher School of Economics
-Nizhny Novgorod, Russia"

 ef73e91b47c0043febed130896f610982fb89976,Layer-Structured 3D Scene Inference via View Synthesis,"Layer-structured 3D Scene Inference
 via View Synthesis
 Shubham Tulsiani1∗, Richard Tucker2, Noah Snavely2
@@ -56446,15 +47723,6 @@ neural networks.
 0.2.1 Neocognitron
 The Neocognitron, developed by Fukushima in the 80 [8], consisted on a multilayered network with"

 ef52f1e2b52fd84a7e22226ed67132c6ce47b829,Online Eye Status Detection in the Wild with Convolutional Neural Networks,

-ef5f604fef0a8bbc7c6f8732db17fb611a39adda,Principle Component Analysis of Low Level Feature Based Face Recognition System,"SHORT PAPER
-Int. J. of Recent Trends in Engineering and Technology, Vol. 2, No. 3, Nov 2009
-Principle Component Analysis of Low Level
-Feature Based Face Recognition System.
-First A. Prof. Deshmukh Sudarshan S.1, Second B. Mrs. Deshmukh Pooja S.2
-Army Institute of Technology, Pune, India
-Email:
-Cognizant Technology Solutions, Pune, India
-Email:"

 ef2084979a3191403c1b8b48f503d06f346afb8f,Une méthode de reconnaissance des expressions du visage basée sur la perception,"Une m´ethode de reconnaissance des expressions du
 visage bas´ee sur la perception
 Rizwan Khan, Alexandre Meyer, Hubert Konik, Saida Bouakaz
@@ -56487,13 +47755,6 @@ S. Nissi Paul and Y. Jayanta Singh
 Dept. Computer Science Engineering and information Technology
 Don Boco College of Engineering and Technology, Assam Don Bosco University
 Guwahati, Assam - India"

-efcedd5750f57f4c7f748783e91918e0f42da61f,Global Haar-Like Features: A New Extension of Classic Haar Features for Efficient Face Detection in Noisy Images,"Global Haar-like Features:
-A New Extension of Classic Haar Features for
-Ef‌f‌icient Face Detection in Noisy Images
-Mahdi Rezaei(cid:63), Hossein Ziaei Nafchi‡, and Sandino Morales†
-(cid:63)The University of Auckland, New Zealand
-Synchromedia Laboratory, ´Ecole de Technologie Sup´erieure, Canada
-The University of Auckland, New Zealand"

 ef42f6584d696513605b424752bd9fed6ed98fa0,Facial Motion Analysis using Clustered Shortest Path Tree Registration,"Author manuscript, published in ""The 1st International Workshop on Machine Learning for Vision-based Motion Analysis - MLVMA’08,
 Marseille : France (2008)"""

 ef4b5bcaad4c36d7baa7bc166bd1712634c7ad71,Towards Spatio-temporal Face Alignment in Unconstrained Conditions,

@@ -56525,49 +47786,9 @@ Dept. of ECE
 Karthikeyan.V
 Assistant Professor,
 Dept. of ECE"

-ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),"International Journal of Computer Applications (0975 – 8887)
-Volume 66– No.9, March 2013
-Face Verification System based on Integral Normalized
-Gradient Image (INGI)
-V. Karthikeyan
-Assistant Professor,
-Department of ECE,
-SVS College of
-Engg,
-M. Divya
-U.G Student,
-Department of ECE,
-SVS College of
-Engg,
-C.K. Chithra
-U.G Student,
-Department of ECE,
-SVS College of
-Engg,
-K. Manju Priya"

 efa65394d0ec5a16ecd57075951016502c541c0d,The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers,"The Gap of Semantic Parsing: A Survey on Automatic
 Math Word Problem Solvers
 Dongxiang Zhang, Lei Wang, Nuo Xu, Bing Tian Dai and Heng Tao Shen"

-ef940b76e40e18f329c43a3f545dc41080f68748,A Face Recognition and Spoofing Detection Adapted to Visually-Impaired People,"Research Article                                                                                                                              Volume 7 Issue No.3
-ISSN XXXX XXXX © 2017 IJESC
-A Face Recognition and Spoofing Detection Adapted to Visually-
-Impaired People
-Rutuja R. Dengale1, Bhagyashri S. Deshmukh 2, Anuja R. Mahangade3, Shivani V. Ujja inkar4
-K.K Wagh Institute of Engineering and Education Research, Nashik, India
-Depart ment of Co mputer Engineering
-Abstrac t:
-According to estimates by the world Health organization, about 285 million people suffer fro m so me kind of v isual disabilit ies of
-which 39 million are  blind, resulting in  0.7 of the word population. As many v isual impaired peoples in  the word they are  unable
-to recognize the people who is standing in front of them and some peoples who have problem to re me mbe r na me of the person.
-They  can  easily  recognize   the  person  using  this  system.  A   co mputer  vision  technique  and  image  ana lysis  can  help  v isually
-the home using face identification and spoofing detection system. This system also provide feature to add newly  known people
-nd keep records of all peoples visiting their ho me.
-Ke ywor ds: face-recognition, spoofing detection, visually-impaired, system architecture.
-INTRODUCTION
-The  facia l  ana lysis  can  be  used  to  e xtract  very  useful  and
-relevant  information  in   order  to  help  people  with  visual
-impairment in several of  its tasks daily providing them with a
-greater  degree  of  autonomy  and  security.  Facia l  recognition"

 efd308393b573e5410455960fe551160e1525f49,Tracking Persons-of-Interest via Unsupervised Representation Adaptation,"Tracking Persons-of-Interest via
 Unsupervised Representation Adaptation
 Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang,
@@ -56581,21 +47802,6 @@ Emotion recognition from geometric facial patterns
 Krupali Joshi, Pradeep Narwade
 Electronics and Telecommunication, Ksiet, Hingoli, (M S) India
 Email- Email–"

-efa2b259407b5b9171dd085061d05b72b6309eb0,"Egocentric Activity Recognition Using HOG , HOF , MBH and Combined features","International Journal on Future Revolution in Computer Science & Communication Engineering
-Volume: 3 Issue: 8
-_______________________________________________________________________________________________
-74 – 79
-ISSN: 2454-4248
-Egocentric Activity Recognition Using HOG, HOF, MBH and
-Combined features
-K. P. Sanal Kumar
-Research Scholar
-Dept. of CSE
-Annamalai University
-R. Bhavani
-Professor
-Dept. of CSE
-Annamalai University"

 efe208a03e2f75ddcebf8bb0f10b1c0bea4824be,A data set for evaluating the performance of multi-class multi-object video tracking,"A data set for evaluating the performance of multi-class multi-object
 video tracking
 Avishek Chakrabortya, Victor Stamatescua, Sebastien C. Wongb, Grant Wigleya, David Kearneya
@@ -56611,40 +47817,6 @@ Faculty of Information Technology, University of Science – Vietnam National Un
 Van Cu street, HCMc, Vietnam"

 efa08283656714911acff2d5022f26904e451113,Active Object Localization in Visual Situations,"Active Object Localization in Visual Situations
 Max H. Quinn, Anthony D. Rhodes, and Melanie Mitchell"

-ef559d5f02e43534168fbec86707915a70cd73a0,DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis,"DING, HUO, HU, LU: DEEPINSIGHT
-DeepInsight: Multi-Task Multi-Scale Deep
-Learning for Mental Disorder Diagnosis
-Mingyu Ding1
-Yuqi Huo2
-Jun Hu2
-Zhiwu Lu1
-School of Information
-Renmin University of China
-Beijing, 100872, China
-Beijing Key Laboratory
-of Big Data Management
-nd Analysis Methods
-Beijing, 100872, China"

-ef88a02f9b624fe34f4b20ac7beb9ca4f44afe83,Scale robust IMU-assisted KLT for stereo visual odometry solution,"doi:10.1017/S0263574716000552
-Scale robust IMU-assisted KLT for stereo visual
-odometry solution
-L. Chermak
-, N. Aouf and M. A. Richardson
-Centre of Electronic Warfare, Cranfield University, Shrivenham, SN6 8LA, UK
-E-mails:
-(Accepted July 23, 2016)
-SUMMARY
-We propose a novel stereo visual IMU-assisted (Inertial Measurement Unit) technique that extends
-to large inter-frame motion the use of KLT tracker (Kanade–Lucas–Tomasi). The constrained
-nd coherent inter-frame motion acquired from the IMU is applied to detected features through
-homogenous transform using 3D geometry and stereoscopy properties. This predicts efficiently
-the projection of the optical flow in subsequent images. Accurate adaptive tracking windows
-limit tracking areas resulting in a minimum of lost features and also prevent tracking of dynamic
-objects. This new feature tracking approach is adopted as part of a fast and robust visual odometry
-lgorithm based on double dogleg trust region method. Comparisons with gyro-aided KLT and
-variants approaches show that our technique is able to maintain minimum loss of features and low
-omputational cost even on image sequences presenting important scale change. Visual odometry
-solution based on this IMU-assisted KLT gives more accurate result than INS/GPS solution for"

 efef00465e1b2f4003e838e50f9c8fa1c8ffaf3e,SceneNet: A Perceptual Ontology for Scene Understanding,"SceneNet: A Perceptual Ontology for Scene
 Understanding
 Ilan Kadar and Ohad Ben-Shahar
@@ -56665,15 +47837,6 @@ ef4ecb76413a05c96eac4c743d2c2a3886f2ae07,Modeling the importance of faces in nat
 Jin B.a, Yildirim G.a, Lau C.a, Shaji A.a, Ortiz Segovia M.b and S¨usstrunk S.a
 EPFL, Lausanne, Switzerland;
 Oc´e, Paris, France"

-ef2c56cc84f4392d537af740abbfc371d015ef03,3D Pose from Detections,"D Pose from Detections
-Cosimo Rubino
-Marco Crocco
-Alessio Del Bue
-Alessandro Perina
-Vittorio Murino
-Pattern Analysis and Computer Vision Department (PAVIS)
-Istituto Italiano di Tecnologia
-Via Morego 30, 16163 Genova, Italy"

 ef032afa4bdb18b328ffcc60e2dc5229cc1939bc,Attribute-enhanced metric learning for face retrieval,"Fang and Yuan EURASIP Journal on Image and Video
 Processing  (2018) 2018:44
 https://doi.org/10.1186/s13640-018-0282-x
@@ -56717,10 +47880,6 @@ nd Search in Urban Surveillance Videos
 Rogerio Schmidt Feris, Associate Member, IEEE, Behjat Siddiquie, James Petterson,
 Yun Zhai, Associate Member, IEEE, Ankur Datta, Lisa M. Brown, Senior Member, IEEE, and
 Sharath Pankanti, Fellow, IEEE"

-97d1d561362a8b6beb0fdbee28f3862fb48f1380,Age Synthesis and Estimation via Faces: A Survey,"Age Synthesis and Estimation via Faces:
-A Survey
-Yun Fu, Member, IEEE, Guodong Guo, Senior Member, IEEE, and
-Thomas S. Huang, Fellow, IEEE"

 978c6e9c01dd6fa64dd0e357bc750345b06ff6bb,Query-Driven Approach to Face Clustering and Tagging,"Query-Driven Approach to Face
 Clustering and Tagging
 Liyan Zhang, Xikui Wang, Dmitri V. Kalashnikov, Sharad Mehrotra, and Deva Ramanan"

@@ -56754,15 +47913,6 @@ Department of Electrical Engineering
 Link¨oping University
 Link¨oping, Sweden
 e-mail: {tohid, larsson, fredrik, schon,"

-978d9a5251028da5a23fd0aed8234ed22b4918c5,Reduced Eigen Space Dimensionality for Fast Face Recognition,"www.ijemr.net
-ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962
-Volume-5, Issue-2, April-2015
-International Journal of Engineering and Management Research
-Page Number: 33-39
-Reduced Eigen Space Dimensionality for Fast Face Recognition
-Research Scholar, Department of Computer Science and Applications, Panjab University, Chandigarh, INDIA
-Professor, Department of Computer Science and Applications, Panjab University, Chandigarh, INDIA
-Davoud Aflakian1, M. Syamala Devi2"

 9755554b13103df634f9b1ef50a147dd02eab02f,How Transferable Are CNN-Based Features for Age and Gender Classification?,"How Transferable are CNN-based Features for
 Age and Gender Classification?
 Gökhan Özbulak1, Yusuf Aytar2 and Hazım Kemal Ekenel1"

@@ -56788,19 +47938,6 @@ O.B.  Efremides
 School  of  Web  Media
 Bahrain  Polytechnic
 Isa  Town,  Kingdom  of  Bahrain"

-97ee35db6b389a7bcc4b7975d12dbcd165226aad,Structured Learning of Human Interactions in TV Shows,"Structured Learning
-of Human Interactions in TV Shows
-Alonso Patron-Perez, Member, IEEE, Marcin Marszalek,
-Ian Reid, Member, IEEE, and Andrew Zisserman"

-972ef9ddd9059079bdec17abc8b33039ed25c99c,Novel on understanding How IRIS Recognition works,"International Journal of Innovations in Engineering and Technology (IJIET)
-A Novel on understanding How IRIS
-Recognition works
-Vijay Shinde
-Dept. of Comp. Science
-M.P.M. College, Bhopal, India
-Prof. Prakash Tanwar
-Asst. Professor CSE
-M.P.M. College, Bhopal, India"

 97865d31b5e771cf4162bc9eae7de6991ceb8bbf,Face and Gender Classification in Crowd Video,"Face and Gender Classification in Crowd Video
 Priyanka Verma
 IIIT-D-MTech-CS-GEN-13-100
@@ -56868,11 +48005,6 @@ Junming Zhang1, Katherine A. Skinner2, Ram Vasudevan3 and Matthew Johnson-Robers
 High-Order Information
 Puneet K. Dokania1, Aseem Behl2, C. V. Jawahar2, and M. Pawan Kumar1
 Ecole Centrale de Paris1, INRIA Saclay1, IIIT Hyderabad - India2"

-97d811ae99bcbcf9f63c2f447041ab6d74a20b1e,Face recognition using truncated transform domain feature extraction,"The International Arab Journal of Information Technology, Vol. 12, No. 3, May 2015                                                              211
-Face Recognition using Truncated Transform
-Domain Feature Extraction
-Rangan Kodandaram, Shashank Mallikarjun, Manikantan Krishnamuthan, and Ramachandran Sivan
-Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, India"

 97cf04eaf1fc0ac4de0f5ad4a510d57ce12544f5,"Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond","manuscript No.
 (will be inserted by the editor)
 Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge,
@@ -56884,9 +48016,6 @@ Zafeiriou4"
 Holistic Multi-modal Memory Network
 for Movie Question Answering
 Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar"

-97b54703c267deef8c86ab6240c24d76a59864e7,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,"Pixel Objectness: Learning to Segment Generic
-Objects Automatically in Images and Videos
-Bo Xiong∗, Suyog Dutt Jain∗, and Kristen Grauman, Member, IEEE"

 970e723404885e94e77780766b39ee951dd7abb3,Multimodal Learning of Geometry-Preserving Binary Codes for Semantic Image Retrieval,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.4 APRIL 2017
 INVITED PAPER SpecialSectiononAward-winningPapers
 Multimodal Learning of Geometry-Preserving Binary Codes for
@@ -56982,19 +48111,6 @@ Marker Placement to Virtualized Real-Time
 Facial Emotions
 Vasanthan Maruthapillai, Murugappan Murugappan*
 School of Mechatronic Engineering, Universiti Malaysia Perlis, 02600, Ulu Pauh, Arau, Perlis, West Malaysia"

-5db075a308350c083c3fa6722af4c9765c4b8fef,The Novel Method of Moving Target Tracking Eyes Location based on SIFT Feature Matching and Gabor Wavelet Algorithm,"The Novel Method of Moving Target Tracking Eyes
-Location based on SIFT Feature Matching and Gabor
-Wavelet Algorithm
-* Jing Zhang, Caixia Yang, Kecheng Liu
-College of Computer and Information Engineering, Nanyang Institute of Technology,
-Henan Nanyang, 473004, China
-* Tel.: 0086+13838972861
-* E-mail:
-Sensors & Transducers, Vol. 154, Issue 7, July 2013, pp. 129-137
-SSSeeennnsssooorrrsss   &&&   TTTrrraaannnsssddduuuccceeerrrsss
-© 2013 by IFSA
-http://www.sensorsportal.com
-Received: 28 April 2013   /Accepted: 19 July 2013   /Published: 31 July 2013"

 5d09d5257139b563bd3149cfd5e6f9eae3c34776,Pattern recognition with composite correlation fi lters designed with multi-objective combinatorial optimization,"Optics Communications 338 (2015) 77–89
 Contents lists available at ScienceDirect
 Optics Communications
@@ -57151,11 +48267,6 @@ Universidad Politécnica de Baja California, Mexicali, Baja California, Mexico"
 5d14cc415a93e6f3a625ed7794e1fdcf99ea5713,Predicting Face Recognition Performance Using Image Quality,"Predicting Face Recognition Performance Using
 Image Quality
 Abhishek Dutta, Raymond Veldhuis, Senior Member, IEEE and Luuk Spreeuwers,"

-5d7395085f2636dd2b6262bc7f3fef14058f4765,Regularizing Deep Networks by Modeling and Predicting Label Structure,"Regularizing Deep Networks by Modeling and Predicting Label Structure
-Mohammadreza Mostajabi
-Michael Maire
-Gregory Shakhnarovich
-Toyota Technological Institute at Chicago"

 5db4fe0ce9e9227042144758cf6c4c2de2042435,Recognition of Facial Expression Using Haar Wavelet Transform,"INTERNATIONAL JOURNAL OF ELECTRICAL AND ELECTRONIC SYSTEMS RESEARCH, VOL.3, JUNE 2010
 Recognition of Facial Expression Using Haar
 Wavelet Transform
@@ -57163,10 +48274,6 @@ M. Satiyan,  M.Hariharan,  R.Nagarajan
 paper
 features
 investigates"

-5da53a17165fcc64e8fb6e9ca532bfb6d95ff622,RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition,"RSCM: Region Selection and Concurrency Model
-for Multi-Class Weather Recognition
-Di Lin, Cewu Lu, Member, IEEE, Hui Huang, Member, IEEE, and Jiaya Jia, Senior Member, IEEE
-ondition"

 5da2ae30e5ee22d00f87ebba8cd44a6d55c6855e,"When facial expressions do and do not signal minds: The role of face inversion, expression dynamism, and emotion type.","This is an Open Access document downloaded from ORCA, Cardiff University's institutional
 repository: http://orca.cf.ac.uk/111659/
 This is the author’s version of a work that was submitted to / accepted for publication.
@@ -57212,28 +48319,6 @@ Computer Science Department – Federal University of Minas Gerais
 Av. Antˆonio Carlos, 6627, Pampulha, CEP 31270–901, Belo Horizonte, MG, Brazil
 Exact and Technological Sciences Department – State University of Santa Cruz
 Rodovia Ilh´eus-Itabuna, km 16 – Pavilh˜ao Jorge Amado, CEP 45600-000, Ilh´eus, BA, Brazil"

-7a2d1ab82eacbc92ec4cedbf2d7432bf0194c6df,Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique : A Review,"International Journals of Advanced Research in
-Computer Science and Software Engineering
-ISSN: 2277-128X (Volume-8, Issue-6)
-Research  Article
-Face Spoof Detection System Based on Genetic Algorithm
-nd Artificial Intelligence Technique: A Review
-Diksha Anand, Kamal Gupta(Assistant Professor)
-GNIT Mullana, Ambala, Haryana, India"

-7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,"A transfer learning based approach for automated
-grading of Gliomas using deep Residual Networks
-Varghese Alex Kollerathu
-Department of Engineering Design
-Indian Institute of Technology Madras
-Chennai, India
-Chandrasekharan Kesavadas
-Imaging Sciences and Intervention Radiology Department
-Sree Chitra Tirunal Institute for Medical Sciences and Technology
-Trivandrum, India
-Ganapathy Krishnamurthi
-Department of Engineering Design
-Indian Institute of Technology Madras
-Chennai, India"

 7a0fb972e524cb9115cae655e24f2ae0cfe448e0,Facial Expression Classification Using RBF AND Back-Propagation Neural Networks,"Facial Expression Classification Using RBF AND Back-Propagation Neural Networks
 R.Q.Feitosa1,2,
 M.M.B.Vellasco1,2,
@@ -57343,35 +48428,11 @@ Orlando, FL 32
 ker.com
 http://www.enriqueg
 http://www.briancbec"

-7a8ba1a6c90b56ae0a98fe43d015ab0f2a73912e,A Vision-Based Hybrid Method for Eye Detection and Tracking,"A Vision-Based Hybrid Method for Eye Detection and Tracking
-International Journal of Security and Its Applications
-Vol. 7, No. 4, July, 2013
-Kun Mu
-Department of Computer Science and Engineering, Henan Institute of Engineering,
-Zhengzhou 451191, China"

 7af6d86139aa86cb5897904563a9f67c016a176d,Performance of Correlation Filters in Facial Recognition,"Performance of Correlation Filters in Facial
 Recognition
 Everardo Santiago-Ramirez, J.A. Gonzalez-Fraga, and J.I. Ascencio-Lopez
 Facultad de Ciencias, Universidad Autónoma de Baja California, Km. 103, Carretera Tijuana-
 Ensenada, Ensenada, Baja California C. P. 22860"

-7a3676dcf55e22c7249eac7615174309617c8246,Joint Feature Learning With Robust Local Ternary Pattern for Face Recognition,"International Journal of Application or Innovation in Engineering & Management (IJAIEM)
-Web Site: www.ijaiem.org Email:
-ISSN 2319 - 4847
-Volume 5, Issue 6, June  2016
-Joint Feature Learning With Robust Local
-Ternary Pattern for Face Recognition
-Yuvaraju.M1, Shalini.S2
-Nadu, India
-Assistant Professor, Department of Electrical and Electronics Engineering, Anna University Regional Campus, Coimbatore, Tamil
-Pg Scholar, Department of Electrical and Electronics Engineering, Anna University Regional Campus, Coimbatore, Tamil Nadu,
-India"

-7a7db5a1325844b62d2ecf8489872c8f515f1c37,Nuclear Norm-Based 2-DPCA for Extracting Features From Images,"Nuclear Norm-Based 2-DPCA for Extracting
-Features From Images
-Fanlong Zhang, Jian Yang, Member, IEEE, Jianjun Qian, and Yong Xu, Member, IEEE"

-7ac25c5391251611696d16e677bd71040d80d583,Person Re-Identification by Saliency Learning,"MANUSCRIPT DRAFT
-Person Re-identification by saliency Learning
-Rui Zhao, Student Member, IEEE, Wanli Oyang, Member, IEEE, and
-Xiaogang Wang, Member, IEEE"

 7a81967598c2c0b3b3771c1af943efb1defd4482,Do We Need More Training Data?,"Do We Need More Training Data?
 Xiangxin Zhu · Carl Vondrick · Charless C. Fowlkes · Deva Ramanan"

 7a7a53b05e22305b2963c05ac89830e099146767,Assessing fish abundance from underwater video using deep neural networks,"Assessing fish abundance from underwater video
@@ -57429,11 +48490,6 @@ ISSN: 2321-0869, Volume-2, Issue-8, August 2014
 Fusion of Silhouette Based Gait Features for Gait
 Recognition
 Mohan Kumar H P,  Nagendraswamy H S"

-7ad204758df6c921010d9967a5b7449dd406ea56,Deep Face Quality Assessment,"Deep Face Quality Assessment
-Vishal Agarwal
-Department of Electronics and Electrical Engineering
-Indian Institute of Technology Guwahati
-India"

 7acc05ae92823c12b28d6ad73cb2a7707ccb6c7b,Single view-based 3D face reconstruction robust to self-occlusion,"Lee et al. EURASIP Journal on Advances in Signal Processing 2012, 2012:176
 http://asp.eurasipjournals.com/content/2012/1/176
 R ES EAR CH
@@ -57457,12 +48513,6 @@ Centre d’Excellence en Troubles Envahissants du De´veloppement de l’Univers
 Neural Systems Group, Massachusetts General Hospital, Boston, Massachusetts
 (CETEDUM), Montre´al, QC, Canada"

 a92b5234b8b73e06709dd48ec5f0ec357c1aabed,Disjoint Multi-task Learning Between Heterogeneous Human-Centric Tasks,

-a996492cad4ee17945f6b8ba06ae87cf38223242,Memetic Approach for Matching Sketches with Digital Face Images,"SUBMITTED TO IEEE TRANSACTIONS ON PAMI
-Memetic Approach for Matching Sketches with
-Digital Face Images
-Himanshu S. Bhatt, Student Member, IEEE, Samarth Bharadwaj, Student Member, IEEE, Richa
-Singh, Member, IEEE, Mayank Vatsa, Member, IEEE.
-face images. Structural"

 a93781e6db8c03668f277676d901905ef44ae49f,Recent Data Sets on Object Manipulation: A Survey.,"Recent Datasets on Object Manipulation: A Survey
 Yongqiang Huang, Matteo Bianchi, Minas Liarokapis and Yu Sun"

 a91d0ebc1255d6de1c4588767b3b5e1fc630e56f,FBI-HH-M-345 / 10 eTRIMS Scene Interpretation Datasets,"Universit¨at Hamburg
@@ -57476,9 +48526,6 @@ Kasim Terzi´c
 {hartz | koopmann |
 informatik.uni-hamburg.de
 November 15, 2010"

-a9ebeca46445b8af728118b05e56d95d4985000c,Restricted Isometry Property of Subspace Projection Matrix Under Random Compression,"Restricted Isometry Property of Subspace Projection
-Matrix Under Random Compression
-Xinyue Shen, Student Member, IEEE, and Yuantao Gu, Member, IEEE"

 a9978df0b4df4d7b04bc4e9464c67f9ff7c31d3d,FROM TRADITIONAL TO INTERACTIVE PLAYSPACES FROM TRADITIONAL TO INTERACTIVE PLAYSPACES FROM TRADITIONAL TO INTERACTIVE PLAYSPACES Automatic Analysis of Player Behavior in the Interactive Tag Playground,"FROM TRADITIONAL TO
 FROM TRADITIONAL TO
 INTERACTIVE PLAYSPACES
@@ -57502,11 +48549,6 @@ Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot,
 Matthew Botvinick, Shakir Mohamed, Alexander Lerchner
 Google DeepMind
 {irinah,lmatthey,arkap,cpburgess,glorotx,"

-a969efee78149357ec109c1de2238a0cc670858a,Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance,"Automatic 2.5-D Facial Landmarking and Emotion
-Annotation for Social Interaction Assistance
-Xi Zhao, Member, IEEE, Jianhua Zou, Member, IEEE, Huibin Li, Student Member, IEEE,
-Emmanuel Dellandréa, Member, IEEE, Ioannis A. Kakadiaris, Senior Member, IEEE,
-nd Liming Chen, Senior Member, IEEE"

 a975f1aea5dbb748955da0e17eef8d2270a49f25,Object Recognition Sensory Data Acquisition Light Intensity Images,"OBJECT RECOGNITION
 Object recognition is a subproblem of the more general
 problem of perception, and can be defined as follows. Given
@@ -57527,17 +48569,6 @@ for bin picking, inspection, and mobile robotics.
 Various types of object recognition problems can be
 stated based on the dimensionality of their spatial descrip-
 tion: (1) recognition of a 2-D object from a single 2-D im-"

-a955033ca6716bf9957b362b77092592461664b4,Video Based Face Recognition Using Artificial Neural Network,"ISSN(Online): 2320-9801
-ISSN (Print):  2320-9798
-International Journal of Innovative Research in Computer
-nd Communication Engineering
-(An ISO 3297: 2007 Certified Organization)
-Video Based Face Recognition Using Artificial
-Vol. 3, Issue 6, June 2015
-Neural Network
-Santhy Mol T, Neethu Susan Jacob
-Pursuing M.Tech, Dept. of CSE, Caarmel Engineering College, MG University, Kerala, India
-Assistant Professor, Dept of CSE, Caarmel Engineering College, MG University, Kerala, India"

 a9f03e4bb90addab234423994bfd8c25854484ea,OBJECT BASED IMAGE RETRIEVAL USING LBP AND FUZZY CLUSTERING METHOD,"Volume1, Issue 3, 15 May- 15 August 2015
 International Journal In Applied Studies And
 Production Management
@@ -57548,13 +48579,6 @@ Jiwanjot kaur Bhinder
 Department of Computer Science & Engg, RIMT(IET) Mandigobindgarh
 Kirti joshi
 Department of Computer Science & Engg, RIMT(IET) Mandigobindgarh"

-a99cf14afb556187233f772fa9bf561d7cf0c088,A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES,"INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMPUTER SCIENCE AND APPLICATIONS
-ISSN 2321-872X ONLINE ISSN 2321-8932 PRINT
-VOLUME  2, ISSUE 12, DECEMBER 2014.
-A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES
-Dr.S.BABU 1        S.SUBA 2
-Associate Professor / CSE, IFET College of Engineering, Viluppuram, Tamilnadu, India
-PG Scholar, IFET College of Engineering, Viluppuram, Tamilnadu, India"

 a9453721f35f364e176a5aaa7bdb622f72fbcaec,Learning Articulated Motion Models from Visual and Lingual Signals,"Learning Articulated Motion Models from Visual and Lingual Signals
 Zhengyang Wu
 Georgia Tech
@@ -57568,20 +48592,6 @@ Chicago, IL 60637"
 a9286519e12675302b1d7d2fe0ca3cc4dc7d17f6,Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems,"Learning to Succeed while Teaching to Fail:
 Privacy in Closed Machine Learning Systems
 Jure Sokoli´c, Qiang Qiu, Miguel R. D. Rodrigues, and Guillermo Sapiro"

-a93ecf7b9780989c709714dde0f93f4d81eea640,Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose,"International Journal of Innovative Research in Computer and Communication Engineering
-(An ISO 3297: 2007 Certified Organization)
-Vol.2, Special Issue 1, March 2014
-Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
-Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
-Organized by
-Unconstrained Face Recognition Using SVM
-Across Blurred And Illuminated Images With Pose
-Variation
-Nadeena M1, S.Sangeetha, M.E, 2
-ISSN(Online): 2320-9801
-ISSN (Print):  2320-9798
-II M.E CSE, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India1
-Assistant Professor, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India 2"

 a9eb6e436cfcbded5a9f4b82f6b914c7f390adbd,A Model for Facial Emotion Inference Based on Planar Dynamic Emotional Surfaces,"(IJARAI) International Journal of Advanced Research in Artificial Intelligence,
 Vol. 5, No.6, 2016
 A Model for Facial Emotion Inference Based on
@@ -57782,29 +48792,6 @@ A Recursive Framework for Expression Recognition: From
 Web Images to Deep Models to Game Dataset
 Wei Li · Christina Tsangouri · Farnaz Abtahi · Zhigang Zhu
 Received: date / Accepted: date"

-df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,"RESEARCH ARTICLE
-Supervised Filter Learning for Representation
-Based Face Recognition
-Chao Bi1, Lei Zhang2, Miao Qi1, Caixia Zheng1, Yugen Yi3, Jianzhong Wang1*,
-Baoxue Zhang4*
-College of Computer Science and Information Technology, Northeast Normal University, Changchun,
-China, 2 Changchun Institute of Optics, Fine Mechanics and Physics, CAS, Changchun, China, 3 School of
-Software, Jiangxi Normal University, Nanchang, China, 4 School of Statistics, Capital University of
-Economics and Business, Beijing, China
-11111
-* (JW); (BZ)"

-df8da144a695269e159fb0120bf5355a558f4b02,Face Recognition using PCA and Eigen Face Approach,"International Journal of Computer Applications (0975 – 8887)
-International Conference on Recent Trends in engineering & Technology - 2013(ICRTET'2013)
-Face Recognition using PCA and Eigen Face
-Approach
-Anagha A. Shinde
-ME EXTC [VLSI & Embedded System]
-Sinhgad Academy of Engineering
-EXTC Department
-Pune, India"

-df80fed59ffdf751a20af317f265848fe6bfb9c9,Learning Deep Sharable and Structural Detectors for Face Alignment,"Learning Deep Sharable and Structural
-Detectors for Face Alignment
-Hao Liu, Jiwen Lu, Senior Member, IEEE, Jianjiang Feng, Member, IEEE, and Jie Zhou, Senior Member, IEEE"

 df310591dfba9672252d693bc87da73c246749c9,Fusion of Holistic and Part Based Features for Gender Classification in the Wild,"Fusion of Holistic and Part Based Features
 for Gender Classification in the Wild
 Modesto Castrill´on-Santana(B), Javier Lorenzo-Navarro,
@@ -57846,20 +48833,6 @@ Beijing  ·  Cambridge  ·  Farnham  ·  Köln  ·  Sebastopol  ·  Taipei  ·
 dfe7700ed053d4788ecea4a18431806581e03291,Grammatical facial expression recognition using customized deep neural network architecture,"Grammatical facial expression recognition using customized
 deep neural network architecture
 Devesh Walawalkar"

-dfd2a3cfb8250ff39de498105d3f31122f314811,Content Based Image Retrieval of Corel Images Along With Face Recognition,"Deepa Joseph et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.11, November- 2015, pg. 136-142
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IJCSMC, Vol. 4, Issue. 11, November 2015, pg.136 – 142
-RESEARCH ARTICLE
-Content Based Image Retrieval of Corel
-Images Along With Face Recognition
-Deepa Joseph1, Ajai Mathew2
-¹Student, Department of Electronics and Communication Engineering
-Amal Jyothi College of Engineering, Kanjirappally, India
-²Assistant Professor, Department of Electronics and Communication Engineering
-Amal Jyothi College of Engineering, Kanjirappally, India"

 df8aee8aef6f0c71f968979318dafcd53da04bdc,Bending the Curve: Improving the ROC Curve Through Error Redistribution,"Bending the Curve: Improving the ROC Curve Through Error
 Redistribution
 Oran Richman
@@ -57934,17 +48907,6 @@ of autistic language include echolalia (echoing the utterances of others),
 pronoun reversal, idiosyncratic language use and neologisms (the creation
 of new words), difficulty with pragmatics (problems interpreting the use
 of language in context and the non-literal use of language), and abnormal"

-df51dfe55912d30fc2f792561e9e0c2b43179089,Face Hallucination Using Linear Models of Coupled Sparse Support,"Face Hallucination using Linear Models of Coupled
-Sparse Support
-Reuben A. Farrugia, Member, IEEE, and Christine Guillemot, Fellow, IEEE
-grid and fuse them to suppress the aliasing caused by under-
-sampling [5], [6]. On the other hand, learning based meth-
-ods use coupled dictionaries to learn the mapping relations
-etween low- and high- resolution image pairs to synthesize
-high-resolution images from low-resolution images [4], [7].
-The research community has lately focused on the latter
-ategory of super-resolution methods, since they can provide
-higher quality images and larger magnification factors."

 dfbf49ed66a9e48671964872c84f75d7f916c131,Supplementary Material for Sparsity Invariant CNNs,"Supplementary Material for
 Sparsity Invariant CNNs
 Jonas Uhrig(cid:63),1,2 Nick Schneider(cid:63),1,3
@@ -57993,22 +48955,12 @@ Tengda Han
 Jue Wang
 Anoop Cherian
 Stephen Gould"

-dfee9e83ccf015a3835c399beda5d57d49d25d04,Road side video surveillance in traffic scenes using mapreduce framework for accident analysis,"Biomedical Research 2016; Special Issue: : S257-S266
-ISSN 0970-938X
-www.biomedres.info
-Road side video surveillance in traffic scenes using map-reduce framework
-for accident analysis.
-Maha Vishnu VC*, Rajalakshmi M
-Department of Computer Science and Engineering and Information Technology, Coimbatore Institute of Technology,
-Coimbatore, India"

 dfcb4773543ee6fbc7d5319b646e0d6168ffa116,Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks,"Unifying Variational Autoencoders and Generative Adversarial Networks
 Adversarial Variational Bayes:
 Lars Mescheder 1
 Sebastian Nowozin 2
 Andreas Geiger 1 3"

 df353e3a46cca8c1ef274994f5a6dcb580231726,Data-driven fundamental models for pedestrian movements THÈSE,"POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCESacceptée sur proposition du jury:Prof. P. Frossard, président du juryProf. M. Bierlaire, directeur de thèseProf. H. Mahmassani, rapporteurProf. S. Hoogendoorn, rapporteurProf. N. Geroliminis, rapporteurData-driven fundamental models for pedestrian movementsTHÈSE NO 7613 (2017)ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNEPRÉSENTÉE LE 5 MAI 2017À LA FACULTÉ DE L'ENVIRONNEMENT NATUREL, ARCHITECTURAL ET CONSTRUITLABORATOIRE TRANSPORT ET MOBILITÉPROGRAMME DOCTORAL EN GÉNIE ÉLECTRIQUE Suisse2017PARMarija NIKOLIĆ"

-dfaa547451aae219cd2ca7a761e6c16c1e1d0add,Representation Learning by Rotating Your Faces,"Representation Learning by Rotating Your Faces
-Luan Tran, Xi Yin, and Xiaoming Liu, Member, IEEE"

 df577a89830be69c1bfb196e925df3055cafc0ed,"Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions","Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
 Bichen Wu, Alvin Wan∗, Xiangyu Yue∗, Peter Jin, Sicheng Zhao,
 Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
@@ -58033,10 +48985,6 @@ Recognition by Probabalistic Hypothesis Construction
 P. Moreels and M. Maire and P. Perona [13]
 • Extension of Perona’s work, simplifying model.
 Human Detection Based on a Probabalistic Assembly of Robust Part Detectors"

-dfb342327c5e883d21a1f91cd283b36dbc2a3661,Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing,"Deep Recurrent Models of Pictionary-style Word
-Guessing
-Ravi Kiran Sarvadevabhatla, Member, IEEE, Shiv Surya, Trisha Mittal and R. Venkatesh Babu Senior
-Member, IEEE"

 dfd18b71f5c53ec2a95fcbe327cf7710da3b4851,Robust Submodular Maximization: A Non-Uniform Partitioning Approach,"Robust Submodular Maximization:
 A Non-Uniform Partitioning Approach
 Ilija Bogunovic 1 Slobodan Mitrovi´c 2 Jonathan Scarlett 1 Volkan Cevher 1"

@@ -58092,11 +49040,6 @@ Universit´e de Lyon, CNRS, ´Ecole Centrale de Lyon
 LIRIS UMR5205, F-69134 Lyon, France
 Univ. Grenoble Alpes, Inria, CNRS
 Grenoble INP, LIG, F-38000 Grenoble, France"

-ca8b529e389381c8b51ddf83788b7a3eafb8f859,Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems,"Efficient CNN Implementation for Eye-Gaze
-Estimation on Low-Power/Low-Quality Consumer
-Imaging Systems
-Joseph Lemley, Student Member, IEEE, Anuradha Kar, Student Member, IEEE, Alexandru
-Drimbarean, Member, IEEE, and Peter Corcoran, Fellow, IEEE"

 ca400e0c7a739ce5555b2e3eccccbcea65e71b11,Neural Mechanisms of Emotion Regulation in Autism Spectrum Disorder.,"J Autism Dev Disord
 DOI 10.1007/s10803-015-2359-z
 S I : E M O T I O N R E G U L A T I O N A N D P S Y C H I A T R I C C O M O R B I D I T Y I N A S D
@@ -58137,10 +49080,6 @@ Review
 Advanced Communication & Signal Processing Laboratory, Department of Electronics & Communication
 engineering, Government College of Engineering Kannur, Kerala, India.
 Rishin C. K, Aswani Pookkudi, A. Ranjith Ram"

-ca1db9dc493a045e3fadf8d8209eaa4311bbdc70,Effective Image Retrieval via Multilinear Multi-index Fusion,"JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, JUNE 2017
-Effective Image Retrieval via Multilinear
-Multi-index Fusion
-Zhizhong Zhang, Yuan Xie, Member, IEEE, Wensheng Zhang, Qi Tian, Fellow, IEEE,"

 cae87d5a724507e06f6d8178cfbec043db854fe3,Bayesian Nonparametric Latent Feature Models,"Bayesian Nonparametric Latent Feature Models
 Kurt Miller
 Electrical Engineering and Computer Sciences
@@ -58180,23 +49119,6 @@ Department of Informatics
 Box 451
 54124 Thessaloniki, Greece
 email:"

-ca05fadeb6e0d3414fd21870320545be4582e408,Deep Part-Based Generative Shape Model with Latent Variables,"KIRILLOV ET AL.: DEEP PART-BASED GENERATIVE SHAPE MODEL
-Deep Part-Based Generative Shape Model
-with Latent Variables
-Alexander Kirillov1
-Mikhail Gavrikov2
-Ekaterina Lobacheva4
-Anton Osokin3
-Dmitry Vetrov4
-TU Dresden,
-Dresden, Germany
-Rubbles,
-Moscow, Russia
-INRIA – École Normale Supérieure,
-Paris, France
-National Research University
-Higher School of Economics (HSE),
-Moscow, Russia"

 cad52d74c1a21043f851ae14c924ac689e197d1f,From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views,"From Ego to Nos-vision:
 Detecting Social Relationships in First-Person Views
 Stefano Alletto, Giuseppe Serra, Simone Calderara, Francesco Solera and Rita Cucchiara
@@ -58216,34 +49138,6 @@ Author: Juli´an Fi´errez Aguilar
 A Thesis submitted for the degree of:
 Doctor of Philosophy
 Madrid, May 2006"

-ca50d76d065b22bf40d8144729f89e36e732e046,Robust Face Recognition and Impostors Detection with Partial Occlusion and Small Number of Training Samples ⋆,"Journal of Information & Computational Science 9: 1 (2012) 1–14
-Available at http://www.joics.com
-Robust Face Recognition and Impostors Detection with
-Partial Occlusion and Small Number of Training
-Samples ⋆
-Yujie Hao a, Jie Lin a;b;∗
-, Jianping Li a, Ji Ming b
-School of Computer Science and Engineering, University of Electronic Science and Technology of
-China, Chengdu 610054, China
-School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast
-Belfast BT7 1NN, UK"

-cac24ea3b301c4aba0f84470b175198c10d03199,Study of the Changing Trends in Facial Expression Recognition,"International Journal of Computer Applications (0975 – 8887)
-Volume 21– No.5, May 2011
-Study of the Changing Trends in Facial
-Expression Recognition
-Dr. S. Ravi
-Department of Computer Science,
-School of Engineering and Technology
-Pondicherry University
-Pudhucherry, India
-Mahima S
-Centre for Information Technology and
-Engineering
-Manonmaniam Sundarnar University
-Tirunelveli, India"

-ca5e9973a4494c608548f639eb9a391f6235d4f0,Robust RGB-D Face Recognition Using Attribute-Aware Loss,"Robust RGB-D Face Recognition Using
-Attribute-Aware Loss
-Luo Jiang, Juyong Zhang†, Member, IEEE, and Bailin Deng, Member, IEEE"

 ca228b42de0f0311f4826292a2996d3348ca43fe,Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction,"FOR REVIEW: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 Modeling and Inferring Human Intents and Latent
 Functional Objects for Trajectory Prediction
@@ -58297,10 +49191,6 @@ Dipl.-math. Christian Joachim Herdtweck
 vorgelegt von
 us Stuttgart
 Tübingen"

-cadb9a014a4c5bbec57aaf30391f472fa4b69b4d,PCA versus LDA,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 23, NO. 2, FEBRUARY 2001
-PCA versus LDA
-Aleix M. Martı´nez, Member, IEEE, and
-Avinash C. Kak"

 ca1accedbc1c698c03e9835d9f960c40e9d3ef51,Implementing a Cloud Platform for Autonomous Driving,"Implementing a Cloud Platform for Autonomous Driving
 Shaoshan Liu, Jie Tang, Chao Wang, Quan Wang, and Jean-Luc Gaudiot, Fellow, IEEE
 unified
@@ -58311,11 +49201,6 @@ infrastructure"
 ca494a2f20c267210a677ed9c509c4570f420fdf,Learning to Globally Edit Images with Textual Description,"Learning to Globally Edit Images
 with Textual Description
 Hai Wang † Jason D. Williams ‡ Sing Bing Kang §"

-cab372bc3824780cce20d9dd1c22d4df39ed081a,"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","DeepLab: Semantic Image Segmentation with
-Deep Convolutional Nets, Atrous Convolution,
-nd Fully Connected CRFs
-Liang-Chieh Chen, George Papandreou, Senior Member, IEEE, Iasonas Kokkinos, Member, IEEE,
-Kevin Murphy, and Alan L. Yuille, Fellow, IEEE"

 ca8dc160836a87055579ea9bc4fc379a95f3156a,Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV,"IEICE TRANS. INF. & SYST., VOL.E92–D, NO.12 DECEMBER 2009
 LETTER
 Face Recognition Based on Nonlinear DCT Discriminant Feature
@@ -58363,12 +49248,6 @@ information. However, it is registered with the shape channel, and intensity
 an now be associated with shape attributes such as the surface normal.
 The shape channel does not suffer from certain problems that the texture"

 21b0b2f5df87318912d58d3b843da363a4fb91c3,"Distributed and Higher-Order Graphical Models: towards Segmentation, Tracking, Matching and 3D Model Inference Defended by","ECOLECENTRALEPARISPHDTHESIStoobtainthetitleofDoctorofEcoleCentraleParisSpecialty:APPLIEDMATHEMATICSDistributedandHigher-OrderGraphicalModels:towardsSegmentation,Tracking,Matchingand3DModelInferenceDefendedbyChaohuiWANGpreparedatEcoleCentraleParis,MASlaboratorydefendedonSeptember29,2011JURYChairman:Prof.HenriMAITRE-TélécomParisTechReviewers:Prof.MichaelJ.BLACK-MaxPlanckInstituteforIntelligentSystemsProf.PhilipH.S.TORR-OxfordBrookesUniversityAdvisor:Prof.NikosPARAGIOS-EcoleCentraleParisExaminers:Prof.PatrickBOUTHEMY-INRIA-RennesProf.VladimirKOLMOGOROV-InstituteofScienceandTechnologyAustriaProf.DimitrisSAMARAS-StonyBrookUniversity"

-21e82350472bf6a12af0f761b8dea91cb16bf42f,Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification,"Cost-Sensitive Convolution based Neural
-Networks for Imbalanced Time-Series
-Classification
-Yue Geng* and Xinyu Luo
-Mechanical and Electrical Engineering Institute of CUMTB, Beijing, 100083, China
-E-mail:"

 21ac5d1c34675bf6056d2670f9fa3dde530b1716,ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes,"Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 963–967
 New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics"

 218595e1979007ccd6b1bc5a30a3484841c0eafa,Discovering Beautiful Attributes for Aesthetic Image Analysis,"Noname manuscript No.
@@ -58376,10 +49255,6 @@ New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational L
 Discovering beautiful attributes for aesthetic image analysis
 Luca Marchesotti · Naila Murray · Florent Perronnin
 Received: date / Accepted: date"

-218603147709344d4ff66625d83603deee2854bf,Learning Deep Embeddings with Histogram Loss,"Learning Deep Embeddings with Histogram Loss
-Evgeniya Ustinova and Victor Lempitsky
-Skolkovo Institute of Science and Technology (Skoltech)
-Moscow, Russia"

 21262e01039e5994114b4c102fc80e9afa3f1bde,Pedestrian Detection and Tracking in Thermal Images from Aerial MPEG Videos,

 2118b1ce0c2551e75d30fb6ba24482e50b319a90,Ensemble Projection for Semi-supervised Image Classification,"Ensemble Projection for Semi-supervised Image Classification
 Dengxin Dai
@@ -58412,26 +49287,6 @@ Triplet Loss Function
 De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng
 Institute of Artificial Intelligence and Robotics
 Xi’an Jiaotong University,Xi’an, Shaanxi, P.R. China"

-219b7b157f2a559ecdffe21c2a0edf5285931298,Deep hashing for compact binary codes learning,"Deep Hashing for Compact Binary Codes Learning
-Venice Erin Liong1, Jiwen Lu1, Gang Wang1,2, Pierre Moulin1,3, and Jie Zhou4
-ADSC, Singapore, 2NTU, Singapore, 3UIUC, USA, 4Tsinghua University, China
-Large scale visual search has attracted great attention in computer vision
-due to its wide potential applications [1]. Hashing is a powerful technique
-for large-scale visual search and a variety of hashing-based methods have
-een proposed in the literature [3, 4, 7]. The basic idea of hashing-based
-pproach is to construct a series of hash functions to map each visual object
-into a binary feature vector so that visually similar samples are mapped into
-similar binary codes.
-In this paper, we propose a new deep hashing (DH) method to learn
-ompact binary codes for large scale visual search. Figure 1 illustrates the
-asic idea of the proposed approach. Different from most existing binary
-odes learning methods which usually seek a single linear projection to map
-each sample into a binary vector [2, 5, 6], we develop a deep neural network
-to seek multiple hierarchical non-linear transformations to learn these bina-
-ry codes. For a given sample xn, we obtain a binary vector bn by passing
-it to a network which contains multiple stacked layers of nonlinear trans-
-formations. Assume we have M + 1 layers, the output for the mth layer is:
-n = s(Wmhm−1"

 2198a3d3342442d6ed6608f2e2b0687f644b67d6,Dynamic High Resolution Deformable Articulated Tracking,"Dynamic High Resolution
 Deformable Articulated Tracking
 Aaron Walsman
@@ -58451,14 +49306,6 @@ Simulation, Faculty of Medicine, University of Porto, Porto, Portugal, 4 Departm
 Diabetes and Metabolism, Centro Hospitalar Sāo Joāo, Faculty of Medicine, University of Porto, Porto,
 Portugal, 5 Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
 11111"

-21f59ece2dfe0181a3c4763318fcae254e80b7db,Human Object Tracking in Video Sequences,"S. SARAVANAKUMAR et.al. : HUMAN OBJECT TRACKING IN VIDEO SEQUENCES
-DOI: 10.21917/ijivp.2011.0039
-HUMAN OBJECT TRACKING IN VIDEO SEQUENCES
-S. Saravanakumar1, A. Vadivel2 and C.G. Saneem Ahmed3
-, 2Department of Computer Applications, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India
-E-mail:
-Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India
-E-mail:"

 21241d07840e3cc30feda59642571a9b459c817b,Biometrics via Oculomotor Plant Characteristics: Impact of Parameters in Oculomotor Plant Model,"This is a pre-print. Final version of the paper will be available at ACM digital library.
 Biometrics via Oculomotor Plant Characteristics:
 Impact of Parameters in Oculomotor Plant Model
@@ -58526,11 +49373,6 @@ to  demonstrate
 lustering,  but
 locality-sensitive  hashing
 the  proposed  method  can"

-214ac8196d8061981bef271b37a279526aab5024,Face Recognition Using Smoothed High-Dimensional Representation,"Face Recognition Using Smoothed High-Dimensional
-Representation
-Juha Ylioinas, Juho Kannala, Abdenour Hadid, and Matti Pietik¨ainen
-Center for Machine Vision Research, PO Box 4500,
-FI-90014 University of Oulu, Finland"

 21b16df93f0fab4864816f35ccb3207778a51952,Recognition of Static Gestures Applied to Brazilian Sign Language (Libras),"Recognition of Static Gestures applied to Brazilian Sign Language (Libras)
 Igor L. O. Bastos
 Math Institute
@@ -58666,17 +49508,6 @@ Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horiz
 Email:"

 72ecaff8b57023f9fbf8b5b2588f3c7019010ca7,Facial Keypoints Detection,"Facial Keypoints Detection
 Shenghao Shi"

-72a55554b816b66a865a1ec1b4a5b17b5d3ba784,Real-Time Face Identification via CNN and Boosted Hashing Forest,"Real-Time Face Identification
-via CNN
-nd Boosted Hashing Forest
-Yury Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov and Nikita Kostromov
-State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
-IEEE Computer Society Workshop on Biometrics
-In conjunction with CVPR 2016, June 26, 2016"

-726f76f11e904d7fcb12736c276a0b00eb5cde49,A Performance Comparison of Loss Functions for Deep Face Recognition,"A Performance Comparison of Loss Functions for
-Deep Face Recognition
-Computer Vision Group, Indian Institute of Information Technology, Sri City, India
-Yash Srivastava∗, Vaishnav Murali† and Shiv Ram Dubey‡"

 72944b4266523effe97708bff89e1d57d6aebf50,Multisensory Versus Unisensory Integration : Contrasting Modes in the Superior Colliculus,"A Multi-Sensory, Automated and Accelerated
 Sensory Integration Program
 The Research
@@ -58885,18 +49716,9 @@ Xuelin Qian1 Yanwei Fu2,5,* Yu-Gang Jiang1,3 Tao Xiang4 Xiangyang Xue1,2
 Shanghai Key Lab of Intelligent Info. Processing, School of Computer Science, Fudan University;
 School of Data Science, Fudan University; 3Tencent AI Lab;
 Queen Mary University of London; 5University of Technology Sydney;"

-72fb849144aea8e01f141419914cde87bb7972f3,Fuzzy Bidirectional Weighted Sum for Face Recognition,"The Open Automation and Control Systems Journal, 2014, 6, 447-452
-Send Orders for Reprints to
-Fuzzy Bidirectional Weighted Sum for Face Recognition
-Open Access
-Pengli Lu and Xingbin Jiang*
-School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China"

 72591a75469321074b072daff80477d8911c3af3,Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction,"Group Component Analysis for Multi-block Data:
 Common and Individual Feature Extraction
 Guoxu Zhou, Andrzej Cichocki Fellow, IEEE, Yu Zhang, and Danilo Mandic Fellow, IEEE"

-725b4d2ae7de22856200d1e4511e1d697d42b37b,The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research,"The ParallelEye Dataset: Constructing Large-Scale
-Artificial Scenes for Traffic Vision Research
-Xuan Li, Kunfeng Wang, Member, IEEE, Yonglin Tian, Lan Yan, and Fei-Yue Wang, Fellow, IEEE"

 72a6044a0108e0f8f1e68cd70ada46c81a416324,Improved Training of Generative Adversarial Networks Using Representative Features,"Improved Training of Generative Adversarial Networks
 using Representative Features
 Duhyeon Bang 1 Hyunjung Shim 1"

@@ -59057,20 +49879,6 @@ Accepted: August 2, 2017"
 0322e69172f54b95ae6a90eb3af91d3daa5e36ea,Face Classification using Adjusted Histogram in Grayscale,"Face Classification using Adjusted Histogram in
 Grayscale
 Weenakorn Ieosanurak, and Watcharin Klongdee"

-0394acc70f58fbb6326d1fbf44e0a6da5a0345d1,Automated Recognition of Text in Images : A Survey,"International Journal of Computer Applications (0975 – 8887)
-Volume 127 – No.15, October 2015
-Automated Recognition of Text in Images: A Survey
-Kanika Wadhawan
-M.Tech Scholar
-E. Gajendran, PhD
-Research Guide
-Christ University, Faculty of Engineering
-Christ University, Faculty of Engineering
-Bengaluru, India"

-031532cc5c4e64e02e796360a16f89580a0ba552,Nonnegative Decompositions for Dynamic Visual Data Analysis,"Nonnegative Decompositions for
-Dynamic Visual Data Analysis
-Lazaros Zafeiriou, Member, IEEE, Yannis Panagakis, Member, IEEE,
-Maja Pantic, Fellow, IEEE, and Stefanos Zafeiriou, Member, IEEE"

 036a8cb922a30d766b0fc0ba5954098a1d2a09f5,Learning Similarities for Rigid and Non-rigid Object Detection,"Learning Similarities for Rigid and Non-Rigid Object Detection
 Asako Kanezaki
 The Univ. of Tokyo
@@ -59125,21 +49933,11 @@ Tete Xiao Gang Yu Xiangyu Zhang
 Jian Sun
 {shaoshuai, zhaozijian, liboxun, xtt, yugang, zhangxiangyu,
 Megvii Inc. (Face++)"

-03ed6f09a29fe5d0dbf6d59798f88a5311c966d3,Re-identification with RGB-D Sensors,"Re-identi(cid:12)cation with RGB-D sensors
-Igor Barros Barbosa1;3, Marco Cristani1;2, Alessio Del Bue1,
-Loris Bazzani1, and Vittorio Murino1
-Pattern Analysis and Computer Vision (PAVIS) - Istituto Italiano di Tecnologia
-(IIT), Via Morego 30, 16163 Genova, Italy
-Dipartimento di Informatica, University of Verona,
-Strada Le Grazie 15, 37134 Verona, Italy
-Universit(cid:19)e de Bourgogne, 720 Avenue de lEurope, 71200 Le Creusot, France"

 035ef7b25991b0f7ea841a2270ed053198aab09e,"Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration","Retrieval of images with objects of specific size, location and spatial configuration
 Niloufar Pourian
 B.S. Manjunath
 Department of Electrical and Computer Engineering
 University of California, Santa Barbara, United States"

-03f7041515d8a6dcb9170763d4f6debd50202c2b,Clustering Millions of Faces by Identity,"Clustering Millions of Faces by Identity
-Charles Otto, Student Member, IEEE, Dayong Wang, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

 0332ae32aeaf8fdd8cae59a608dc8ea14c6e3136,Large Scale 3D Morphable Models,"Int J Comput Vis
 DOI 10.1007/s11263-017-1009-7
 Large Scale 3D Morphable Models
@@ -59212,22 +50010,6 @@ C ONVOLUTIONAL NETWORKS (ConvNets) trace back
 to the early works on digit and character recognition
 [11], [23]. Prior to 2012, though, in computer vision field,
 neural networks were more renowned for their propensity to"

-0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,"International Journal of Computer Applications (0975 – 8887)
-Volume 40– No.9, February 2012
-Collarette Region Recognition based on Wavelets and
-Direct Linear Discriminant Analysis
-Akanksha Joshi
-Abhishek Gangwar
-Zia Saquib
-Center for Development of
-Advanced Computing
-Mumbai, India
-Center for Development of
-Advanced Computing
-Mumbai, India
-Center for Development of
-Advanced Computing
-Mumbai, India"

 03a8f53058127798bc2bc0245d21e78354f6c93b,Max-margin additive classifiers for detection,"Max-Margin Additive Classifiers for Detection
 Subhransu Maji and Alexander C. Berg
 Sam Hare
@@ -59282,10 +50064,6 @@ Expression and Gesture Data"
 Ramazan Gokberk Cinbis
 Jakob Verbeek Cordelia Schmid
 Inria∗"

-031d22b08d9e8235f46679b89e273ab8723d3e67,Zero-Aliasing Correlation Filters for Object Recognition,"Zero-Aliasing Correlation Filters for Object
-Recognition
-Joseph A. Fernandez, Student Member, IEEE, Vishnu Naresh Boddeti, Member, IEEE, Andres Rodriguez,
-Member, IEEE, B. V. K. Vijaya Kumar, Fellow, IEEE"

 03c56c176ec6377dddb6a96c7b2e95408db65a7a,A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding,"A Novel Geometric Framework on Gram Matrix
 Trajectories for Human Behavior Understanding
 Anis Kacem, Mohamed Daoudi, Boulbaba Ben Amor, Stefano Berretti, and Juan Carlos Alvarez-Paiva"

@@ -59365,11 +50143,6 @@ Michael Klostermann
 Dietrich Paulus
 Active Vision Group, University of Koblenz-Landau, 56070 Koblenz, Germany
 {mhaeselich, michaelk,"

-03c53fb96a9acd2ec6ba52a2497410f980793bfa,Trainable Convolution Filters and Their Application to Face Recognition,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.
-Trainable Convolution Filters and their
-Application to Face Recognition
-Ritwik Kumar, Member, IEEE, Arunava Banerjee, Member, IEEE,
-Baba C. Vemuri, Fellow, IEEE, and Hanspeter Pfister, Senior Member, IEEE"

 0315c68902edca77d2c15cfc1f1335d55343c715,Towards optimal distortion-based visual privacy filters,"TOWARDS OPTIMAL DISTORTION-BASED VISUAL PRIVACY FILTERS
 Pavel Korshunov and Touradj Ebrahimi
 Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland"

@@ -59401,14 +50174,6 @@ Institute International, Kyoto 619-0288, Japan; E-Mails: (F.Z.); (T.I.);
 Tel.: +81-774-95-1405.
 Received: 14 December 2012; in revised form: 20 December 2012 / Accepted: 4 January 2013 /
 Published: 14 January 2013"

-034516f37171e7e6cffb8afa84c1f5d6d12d887f,Comparative Analysis of Content Based Image Retrieval using Texture Features for Plant Leaf Diseases,"International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 9 (2016) pp6244-6249
-© Research India Publications.  http://www.ripublication.com
-Comparative Analysis of Content Based Image Retrieval using Texture
-Features for Plant Leaf Diseases
-Ph.D. Scholar, Bharati Vidyapeeth Deemed University College of Engineering Pune, Maharashtra, India
-Jayamala K.Patil
-Professor, Defense Institute of Advanced Tech., Deemed University, Girinagar
-Raj Kumar"

 038b8b2b629a8ba1e2ad6f9319e16b68e83e518a,Assessing Water Stress of Desert Tamarugo Trees Using in situ Data and Very High Spatial Resolution Remote Sensing,"Remote Sens. 2013, 5, 5064-5088; doi:10.3390/rs5105064
 OPEN ACCESS
 ISSN 2072-4292
@@ -59428,26 +50193,6 @@ Av. Salamanca s/n, Rengo, Chile
 Tel.: +31-317-481-552; Fax: +31-317-419-000.
 Received: 24 July 2013; in revised form: 12 September 2013 / Accepted: 9 October 2013 /
 Published: 15 October 2013"

-0394e684bd0a94fc2ff09d2baef8059c2652ffb0,Median Robust Extended Local Binary Pattern for Texture Classification,"Median Robust Extended Local Binary Pattern
-for Texture Classification
-Li Liu, Songyang Lao, Paul W. Fieguth, Member, IEEE, Yulan Guo,
-Xiaogang Wang, and Matti Pietikäinen, Fellow, IEEE
-Index Terms— Texture descriptors, rotation invariance, local
-inary pattern (LBP), feature extraction, texture analysis.
-how the texture recognition process works in humans as
-well as in the important role it plays in the wide variety of
-pplications of computer vision and image analysis [1], [2].
-The many applications of texture classification include medical
-image analysis and understanding, object recognition, biomet-
-rics, content-based image retrieval, remote sensing, industrial
-inspection, and document classification.
-As a classical pattern recognition problem, texture classifi-
-ation primarily consists of two critical subproblems: feature
-extraction and classifier designation [1], [2]. It is generally
-greed that the extraction of powerful texture features plays a
-relatively more important role, since if poor features are used
-even the best classifier will fail to achieve good recognition
-results. Consequently, most research in texture classification"

 03ae36b2ed0215b15c5bc7d42fbe20b1491e551a,Learning scene-specific pedestrian detectors without real data,"Learning Scene-Specific Pedestrian Detectors without Real Data
 Hironori Hattori1, Vishnu Naresh Boddeti2, Kris Kitani2, Takeo Kanade2
 Sony Corporation. 2Carnegie Mellon University.
@@ -59492,26 +50237,6 @@ DEEP MODELS CALIBRATION WITH BAYESIAN NEURAL
 NETWORKS
 Anonymous authors
 Paper under double-blind review"

-cb310356d1c5f567b2a8796b708f6e1e10fa1917,Serotonin and the neural processing of facial emotions in adults with autism: an fMRI study using acute tryptophan depletion.,"ORIGINAL ARTICLE
-Serotonin and the Neural Processing
-of Facial Emotions in Adults With Autism
-An fMRI Study Using Acute Tryptophan Depletion
-Eileen M. Daly, BA; Quinton Deeley, PhD; Christine Ecker, MSc, PhD; Michael Craig, PhD; Brian Hallahan, MRCPsych;
-Clodagh Murphy, MRCPsych; Patrick Johnston, PhD; Debbie Spain, MSc; Nicola Gillan, MSc; Michael Brammer, PhD;
-Vincent Giampietro, PhD; Melissa Lamar, PhD; Lisa Page, MRCPsych; Fiona Toal, MRCPsych; Anthony Cleare, PhD;
-Simon Surguladze, MD, PhD; Declan G. M. Murphy, FRCPsych
-Context: People with autism spectrum disorders (ASDs)
-have lifelong deficits in social behavior and differences
-in behavioral as well as neural responses to facial expres-
-sions of emotion. The biological basis to this is incom-
-pletely understood, but it may include differences in the
-role of neurotransmitters such as serotonin, which modu-
-late facial emotion processing in health. While some in-
-dividuals with ASD have significant differences in the sero-
-tonin system, to our knowledge, no one has investigated
-its role during facial emotion processing in adults with
-ASD and control subjects using acute tryptophan deple-
-tion (ATD) and functional magnetic resonance imaging."

 cbca355c5467f501d37b919d8b2a17dcb39d3ef9,Super-resolution of Very Low Resolution Faces from Videos,"CANSIZOGLU, JONES: SUPER-RESOLUTION OF VERY LR FACES FROM VIDEOS
 Super-resolution of Very Low-Resolution
 Faces from Videos
@@ -59549,35 +50274,11 @@ Sanping Zhou, Jinjun Wang, Rui Shi, Qiqi Hou, Yihong Gong, Nanning Zheng"
 cbdca5e0f1fd3fd745430497d372a2a30b7bb0c5,Towards Distributed Coevolutionary GANs,"Towards Distributed Coevolutionary GANs
 Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg and Una-May O’Reilly
 CSAIL, MIT, USA"

-cb004e9706f12d1de83b88c209ac948b137caae0,Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,"Face Aging Effect Simulation using Hidden Factor
-Analysis Joint Sparse Representation
-Hongyu Yang, Student Member, IEEE, Di Huang, Member, IEEE, Yunhong Wang, Member, IEEE, Heng Wang,
-nd Yuanyan Tang, Fellow, IEEE"

 cb7bbede1c2eae831dd73440f439955c4310837f,Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
 Cross-Cultural and Cultural-Specific Production
 nd Perception of Facial Expressions of Emotion
 in the Wild
 Ramprakash Srinivasan, Aleix M. Martinez"

-cb2e10d1a6792354bc0ce24ee99ecf2142d16f9b,Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients,"Enhancing Real-time Human Detection based
-on Histograms of Oriented Gradients
-Marco Pedersoli1, Jordi Gonz`alez2, Bhaskar Chakraborty1, and Juan J.
-Villanueva1
-Computer Vision Center and Departament d’Inform`atica. Universitat Aut`onoma
-de Barcelona, 08193 Bellaterra, Spain
-Institut de Rob`otica i Inform`atica Industrial(UPC-CSIC), Edifici U Parc
-Tecnol`ogic de Barcelona. 08028, Spain.
-Summary. In this paper we propose a human detection framework based on an
-enhanced version of Histogram of Oriented Gradients (HOG) features. These feature
-descriptors are computed with the help of a precalculated histogram of square-blocks.
-This novel method outperforms the integral of oriented histograms allowing the
-alculation of a single feature four times faster. Using Adaboost for HOG feature
-selection and Support Vector Machine as weak classifier, we build up a real-time
-human classifier with an excellent detection rate.
-Introduction
-Human detection is the task of finding presence and position of human beings
-in images. Many applications take advantage of it, mainly in the videosurvel-
-liance and human-computer iteration domains. Thus, human detection is the
-first step of the full process of Human Sequence Evaluation [5]."

 cb6be69c67b0b15ebbda89a126f4dd62a4d32958,Igure Qa : a N a Nnotated F Igure D Ataset for V Isual R Easoning,"Workshop track - ICLR 2018
 FIGUREQA: AN ANNOTATED FIGURE DATASET FOR
 VISUAL REASONING
@@ -59625,26 +50326,6 @@ Evangello Flouty1, Odysseas Zisimopoulos1, and Danail Stoyanov1,2
 Wellcome / ESPRC Centre for Interventional and Surgical Sciences, London,
 Digital Surgery, London, United Kingdom
 United Kingdom"

-cb3ba84146d1324e1cdbde3764ca3b354ee09a2a,"On the Interplay Between Throughput, Fairness and Energy Efficiency on Asymmetric Multicore Processors","On the interplay between throughput,
-fairness and energy ef‌f‌iciency on
-symmetric multicore processors
-J. C. Saez1, A. Pousa2, A. E. de Giusti2, M. Prieto-Matias1
-ArTeCS Group, Facultad de Inform´atica, Complutense University of Madrid
-III-LIDI, Facultad de Inform´atica, National University of La Plata
-Email:
-Asymmetric single-ISA multicore processors (AMPs), which integrate high-
-performance big cores and low-power small cores, were shown to deliver
-higher performance per watt than symmetric multicores. Previous work has
-highlighted that this potential of AMP systems can be realizable by scheduling
-the various applications in a workload on the most appropriate core type. A
-number of scheduling schemes have been proposed to accomplish different goals,
-such as system throughput optimization, enforcing fairness or reducing energy
-onsumption. While the interrelationship between throughput and fairness on
-AMPs has been comprehensively studied, the impact that optimizing energy
-ef‌f‌iciency has on the other two aspects is still unclear. To fill this gap, we carry out
-comprehensive analytical and experimental study that illustrates the interplay
-etween throughput, fairness and energy ef‌f‌iciency on AMPs. Our analytical
-study allowed us to define the energy-ef‌f‌iciency factor (EEF) metric, which aids"

 cb658e9e0823dc7afe66b593307b230cc2747790,Nouveau modèle pour la datation automatique de photographies à partir de caractéristiques visuelles,"Nouveau modèle pour la datation
 utomatique de photographies
 à partir de caractéristiques visuelles1
@@ -59663,10 +50344,6 @@ relle. Dans leur approche soit une prédiction est bonne (période valide) soit
 plusieurs. Nos travaux, s’appuient sur des avancées récentes en classification ordinale. Nous
 onsidérons les dates comme des attributs à la fois ordonnés et relatifs et nous proposons un
 adre spécifique pour les manipuler."

-cb08f679f2cb29c7aa972d66fe9e9996c8dfae00,Action Understanding with Multiple Classes of Actors,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
-Action Understanding
-with Multiple Classes of Actors
-Chenliang Xu, Member, IEEE, Caiming Xiong, and Jason J. Corso, Senior Member, IEEE"

 cb76c7002b9a813405359b2bc2a29756bf426bb4,Combination of In Vogue Algorithms for Human Detection and Tracking,"International Journal of Computer Applications (0975 – 8887)
 National Conference “Electronics, Signals, Communication and Optimization"" (NCESCO 2015)
 Combination of In Vogue Algorithms for Human
@@ -59702,17 +50379,6 @@ Hang Chu1,2 Wei-Chiu Ma3 Kaustav Kundu1,2 Raquel Urtasun1,2,3 Sanja Fidler1,2
 University of Toronto 2Vector Institute 3Uber ATG
 {chuhang1122, kkundu,
 {weichiu,"

-cb53c8a85d58ccb2635be5b7ff978ea6e8b78cde,Face Recognition Based on Wavelet Transform and Regional Directional Weighted Local Binary Pattern,"Face Recognition Based on Wavelet Transform
-nd Regional Directional Weighted Local Binary
-Pattern
-Wu Fengxiang
-North China Career Academy of Water Resources, Henan Zhengzhou, China
-Email:
-independent  application  technology  area"

-cbd20c2199062724eee841016f1575cb7d5309b4,Dropout training for SVMs with data augmentation,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, MAY 2015
-Dropout Training for SVMs with
-Data Augmentation
-Ning Chen and Jun Zhu, Member, IEEE, Jianfei Chen and Ting Chen"

 cb3d38cd18c99aca9c2a228aeb4998f394c7b1b3,Impairments in facial affect recognition associated with autism spectrum disorders: a meta-analysis.,"# Cambridge University Press 2014
 doi:10.1017/S0954579414000479
 Impairments in facial affect recognition associated with autism
@@ -59798,13 +50464,6 @@ If you consider content in White Rose Research Online to be in breach of UK law,
 emailing including the URL of the record and the reason for the withdrawal request.
 https://eprints.whiterose.ac.uk/"

 a85007fe09e96e13cc30992ba19d71cae75634c6,BlazeIt : An OptimizingQuery Engine for Video at Scale Extended Abstract,BlazeIt: An Optimizing Query Engine for Video at Scale

-a84032e66db042a57722b4a3bc7301ebe567fb8b,A Face Recognition Technique using Principal Component Analysis,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 01, 2015 | ISSN (online): 2321-0613
-Review of Energy Enhancements of Modified LEACH
-Kirti Sharma1
-Department of Electronics & Communication Engineering
-Maharishi Ved Vyas Engineering College, Jagadhri, India
-using
-minimized"

 a83fc450c124b7e640adc762e95e3bb6b423b310,Deep Face Feature for Face Alignment and Reconstruction,"Deep Face Feature for Face Alignment
 Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo and Ligang Liu"

 a887937b813f267507203d4faef1013043cf09d0,Automatic Process to Build a Contextualized Detector,"AUTOMATIC PROCESS TO BUILD A CONTEXTUALIZED
@@ -59835,42 +50494,11 @@ ackground  modeling,  pedestrian  detection,  real-time
 pplications, video surveillance applications.
 Manuscript received May 22, 2014; revised Jan. 1, 2015; accepted Jan. 17, 2015.
 This work was partly supported by the ICT R&D program of the MSIP, Rep. of Korea (No."

-a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,"Intelligent Video Object Classification Scheme using Offline Feature Extraction and
-Machine Learning based Approach
-Chandra Mani Sharma1, Alok Kumar Singh Kushwaha2 ,Rakesh Roshan3 , Rabins Porwal4 and Ashish Khare5
-,3,4Department of Information Technology, Institute of Technology and Science
-Ghaziabad, U.P., India
-Department of Computer Engg. and Application, G.L.A. University,
-Mathura, U.P., India
-5 Department of Electronics and Communication, University of Allahabad,
-U.P., India"

-a8117a4733cce9148c35fb6888962f665ae65b1e,A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion,"IEEE TRANSACTIONS ON XXXX, VOL. XX, NO. XX, XX 201X
-A Good Practice Towards Top Performance of Face
-Recognition: Transferred Deep Feature Fusion
-Lin Xiong1∗†, Jayashree Karlekar1∗, Jian Zhao2∗†, Jiashi Feng2, Member, IEEE, Sugiri Pranata1, and
-Shengmei Shen1"

 a8bf49021017e19df051a3efb7337d93ea263e37,Deep Multiple Instance Hashing for Object-based Image Retrieval,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
 queryRetrieval ResultFigure1:Queryingaboutmultipleobjects.toryresults.Inparticular,theerrorsinthesegmentationstepwillbepropagatedtotheindex,anditisdifficulttofindop-timalhand-craftedfeaturesforindexcreation.Ontheotherhand,mostexistingobject-basedimageretrievalapproachesconcentrateonqueryingbyasingleobject.However,usersmayalsowanttoqueryaboutmultipleobjects,asillustratedinFig.1:intheupperexampletheuserisinterestedinpho-toscontainingbothhumanandhorses,asinthequery;inthelowercasetheusermaywanttowriteapoliticalcommentaryaboutObamaandPutinbutthereisnogroupphotoofthemathand.Duetothelackofabilitytodetectvariousobjects,previousapproacheswillincurpoorperformancewhentheyaredirectlyusedtocopewithmulti-objectqueries.Recentadvancesindeeplearninghaveprovedthatconvo-lutionalneuralnetworks(CNNs)trainedend-to-endcanlearnpowerfulfeaturerepresentations.Intermsofobjectdetec-tion,anumberoftechniquesbasedondeepCNNshavebeenproposed[Renetal.,2015;Liuetal.,2016]andachievedgoodresultsonsomehigh-qualitypublicimagedatasetslikeImageNet,PASCALVOCandMSCOCO.However,theseapproachesnecessitatelarge-scaletrainingdatawithlabelsofobjectlocationstolearnmodelstoharvest“objectness”,whereasthelabelingworkisverytediousandexpensive.Itisoftenthecasethatweonlyhaveimage-levelobjectlabelswithoutobjectlocations,i.e.weaklabelsforobjectdetection"

 a81d396c9210282d461f9f08b7b9794b096ecdfe,FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising,"FFDNet: Toward a Fast and Flexible Solution for
 CNN based Image Denoising
 Kai Zhang, Wangmeng Zuo, Senior Member, IEEE, and Lei Zhang, Fellow, IEEE"

-a843bc90343ceeb25b59f6e54de3663e363f5fd3,Learning to predict where to look in interactive environments using deep recurrent q-learning,"LEARNING TO PREDICT WHERE TO LOOK IN INTER-
-ACTIVE ENVIRONMENTS USING DEEP RECURRENT Q-
-LEARNING
-Sajad Mousavi, Michael Schukat, Enda Howley
-The College of Engineering and Informatics
-National University of Ireland, Galway
-Ali Borji
-Department of Computer Science
-University of Central Florida (UCF)
-Orlando, Florida 32816-2365, USA
-Nasser Mozayani
-School of Computer Engineering
-Iran university of Science and Technology (IUST)
-Tehran, Iran"

-a8e75978a5335fd3deb04572bb6ca43dbfad4738,Sparse graphical representation based discriminant analysis for heterogeneous face recognition,"Sparse Graphical Representation based Discriminant
-Analysis for Heterogeneous Face Recognition
-Chunlei Peng, Xinbo Gao, Senior Member, IEEE, Nannan Wang, Member, IEEE, and Jie Li"

 a8a45d083e5535812f991afb686b4e36ea9f0717,Face Recognition Using Gradient Derivative Local Binary Patterns,"International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 7 (2017) pp. 1316-1323
 © Research India Publications.  http://www.ripublication.com
 Face Recognition Using Gradient Derivative Local Binary Patterns"

@@ -59879,17 +50507,6 @@ Alexandros Stergiou
 Department of Information and Computing Sciences, Utrecht University,Buys Ballotgebouw, Princetonplein 5, Utrecht, 3584CC, Netherlands
 Department of Information and Computing Sciences, Utrecht University,Buys Ballotgebouw, Princetonplein 5, Utrecht, 3584CC, Netherlands
 Ronald Poppe1"

-a85e9e11db5665c89b057a124547377d3e1c27ef,Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction,"Dynamics of Driver’s Gaze: Explorations in
-Behavior Modeling & Maneuver Prediction
-Sujitha Martin, Member, IEEE, Sourabh Vora, Kevan Yuen, and Mohan M. Trivedi, Fellow, IEEE"

-a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,"Improved Minimum Squared Error Algorithm with
-Applications to Face Recognition
-Qi Zhu1,2,3, Zhengming Li1,3,4, Jinxing Liu5, Zizhu Fan1,6, Lei Yu7, Yan Chen8*
-Bio-Computing Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China, 2 School of Optical-Electrical and Computer Engineering, University
-of Shanghai for Science and Technology, Shanghai, China, 3 Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China, 4 Guangdong Industrial
-Training Center, Guangdong Polytechnic Normal University, Guangzhou, China, 5 College of Information and Communication Technology, Qufu Normal University, Rizhao,
-China, 6 School of Basic Science, East China Jiaotong University, Nanchang, China, 7 School of Urban Planning and Management, Harbin Institute of Technology Shenzhen
-Graduate School, Shenzhen, China, 8 Shenzhen Sunwin Intelligent Co., Ltd., Shenzhen, China"

 a825364ada04007221577d305cbc42d413239f03,LaFiDa - A Laserscanner Multi-Fisheye Camera Dataset,"Article
 LaFiDa—A Laserscanner Multi-Fisheye Camera Dataset
 Steffen Urban * and Boris Jutzi *
@@ -59958,31 +50575,9 @@ KNOWLEDGE ENGINEERING AND
 MANAGEMENT + KNOWLEDGE ACQUISITION
 Chair(s)
 Int'l Conf. Information and Knowledge Engineering | IKE'13 |1"

-8c661e613d96210a02e5c7faad6d000b7d683e26,Support Vector Machines for Face Recognition,"International Research Journal of Engineering and Technology (IRJET)               e-ISSN: 2395-0056
-Volume: 02 Issue: 08 | Nov-2015           www.irjet.net                                                      p-ISSN: 2395-0072
-Support Vector Machines for Face Recognition
-Navin Prakash1, Dr.Yashpal Singh2
-1Research Scholar, IFTM University, Moradabad, UP, INDIA
-Associate Professor, Deptt. Of CS&E, B.I.E.T.-Jhansi, UP, INDIA
-……………………………………………………………………………****……………………………………………………………………………
-to  achieve
-orrect  and"

-8c6427cc1f4e1bbe5d6da34a4511842361f4fbb6,Hypothesis Only Baselines in Natural Language Inference,"Hypothesis Only Baselines in Natural Language Inference
-Adam Poliak1 Jason Naradowsky1 Aparajita Haldar1,2
-Rachel Rudinger1 Benjamin Van Durme1
-Johns Hopkins University 2BITS Pilani, Goa Campus, India"

 8c6db488bebf3fb2c50d951c4a9f002a531f9b61,Modeling Multimodal Dynamic Spatiotemporal Graphs,"Modeling Multimodal Dynamic Spatiotemporal Graphs
 Boris Ivanovic
 Marco Pavone"

-8cf679ef0ea28557acb86546e4b1b1a617d1c698,Long Term Multi-Target Tracking based on Detection and Data Association,"International Journal of Electronics and Electrical Engineering Vol. 1, No. 3, September, 2013
-Long Term Multi-Target Tracking based on
-Detection and Data Association
-Ai Min Li
-Shandong Polytechnic University, Jinan, China
-Email:
-Pil Seong Park
-University of Suwon, Suwon, Korea
-Email:"

 8c7f4c11b0c9e8edf62a0f5e6cf0dd9d2da431fa,Dataset Augmentation for Pose and Lighting Invariant Face Recognition,"Dataset Augmentation for Pose and Lighting
 Invariant Face Recognition
 Daniel Crispell∗, Octavian Biris∗, Nate Crosswhite†, Jeffrey Byrne†, Joseph L. Mundy∗
@@ -60123,10 +50718,6 @@ Chun-Guang Li, Chong You, and Ren´e Vidal"
 8ce4a669358dadbfac69ff0d313af042aeb94de1,Pedestrian intention recognition using Latent-dynamic Conditional Random Fields,"Pedestrian Intention Recognition using Latent-dynamic Conditional
 Random Fields
 Andreas Th. Schulz1 and Rainer Stiefelhagen2"

-8cd61bb3469aa253d4411ef2295b50683a031d17,Random Occlusion-recovery for Person Re-identification,"Random Occlusion-recovery for Person Re-identification
-Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji
-Di Wu1, Kun Zhang1 and De-Shuang Huang1
-University, Caoan Road 4800, Shanghai 201804, China"

 8cf3b70f9247be23de9cc42272464e0363acb426,Multi-label classification of a real-world image dataset,"Multi-label classification of a real-world
 image dataset
 Nikita Uvarov
@@ -60258,24 +50849,11 @@ L’archive ouverte pluridisciplinaire HAL, est
 destin´ee au d´epˆot et `a la diffusion de documents
 scientifiques de niveau recherche, publi´es ou non,
 ´emanant des ´etablissements d’enseignement et de"

-b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1,Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval,"LOCAL DIRECTIONAL RELATION PATTERN
-Local Directional Relation Pattern for
-Unconstrained and Robust Face Retrieval
-Shiv Ram Dubey, Member, IEEE"

 b19f24ec92388513d1516d71292559417c776006,CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-,"Under review as a conference paper at ICLR 2018
 CAUSALGAN: LEARNING CAUSAL IMPLICIT GENER-
 ATIVE MODELS WITH ADVERSARIAL TRAINING
 Anonymous authors
 Paper under double-blind review"

-b14fb84db85ab4bbbcc8c92200e9c69b00737f91,A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION,"A REVIEW ON CLASSIFIERS USED IN FACE
-RECOGNITION METHODS UNDER POSE AND
-ILLUMINATION VARIATION
-R.Rajalakshmi1,   Dr.M.K.Jeyakumar2
-Research Scholar, Department of Computer Application Noorul Islam University, Kumaracoil, TamilNadu, India
-Professor, Department of Computer Application, Noorul IslamUniversity, Kumracoil, Tamil Nadu, India"

-b137480d2ccf3b53433de208815ce891d95af912,Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections,"Visual Sentences for Pose Retrieval over
-Low-resolution Cross-media Dance Collections
-Reede Ren, Member, IEEE, John Collomosse, Member, IEEE"

 b1451721864e836069fa299a64595d1655793757,Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking,"Criteria Sliders: Learning Continuous
 Database Criteria via Interactive Ranking
 James Tompkin,1∗ Kwang In Kim,2∗ Hanspeter Pfister,3 and Christian Theobalt4
@@ -60299,12 +50877,6 @@ François Brémond
 004, route des Lucioles, BP93
 06902 Sophia Antipolis Cedex - France
 Javier Ortiz"

-b1a3b19700b8738b4510eecf78a35ff38406df22,Automatic Analysis of Facial Actions : A Survey,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TAFFC.2017.2731763, IEEE
-Transactions on Affective Computing
-JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
-Automatic Analysis of Facial Actions: A Survey
-Brais Martinez, Member, IEEE, Michel F. Valstar, Senior Member, IEEE, Bihan Jiang,
-nd Maja Pantic, Fellow, IEEE"

 b16ff1331f961b2067c9464c491b7cbe90694758,Automatic plankton image classification combining multiple view features via multiple kernel learning,"Zheng et al. BMC Bioinformatics 2017, 18(Suppl 16):570
 DOI 10.1186/s12859-017-1954-8
 RESEARCH
@@ -60378,15 +50950,6 @@ Rishabh Iyer
 Microsoft Corporation
 Ganesh Ramakrishnan
 IIT Bombay"

-b1bd58bb76ae9e4504622a941e1da21a24b5cfdd,"International conference on Advanced Computing , Communication and Networks ’ 11 1087 Face Recognition Using Incremental Principal Component Analysis","International conference on Advanced Computing, Communication and Networks’11
-Face Recognition Using Incremental Principal Component Analysis
-Satish S. Banait1, Vivek Kshirsagar2, Meghana Nagori3, Archana R. Ugale4
-Dept. of Computer Engg. KK Wagh Institute of Engg. Education & Research Centre, Nashik
-, 3 Dept. of Computer Science & Engineering, Govt. College Of Engineering, Aurangabad, India
-Dept. of Computer Engg. MET’s BKC College of Engg., Nashik
-space
--  IN
-feature"

 b1fe9715f3f49980785db00066cb9062990a58ac,Study of the Changing Trends in Facial Expression Recognition,"Study of the Changing Trends in Facial Expression Recognition
 {tag}                                                                   {/tag}
 International Journal of Computer Applications
@@ -60444,12 +51007,6 @@ Mauricio Correa · Gabriel Hermosilla ·
 Rodrigo Verschae · Javier Ruiz-del-Solar
 Received: 11 December 2010 / Accepted: 30 May 2011 / Published online: 12 July 2011
 © Springer Science+Business Media B.V. 2011"

-6ed559a0d04e7d4185eeea43f77e372483982e4b,Paper on Player Tracking and Automated Analysis in Sports Videos,"International Journal of Emerging Technology and Advanced Engineering
-Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 6, June 2015)
-A Review Paper on Player Tracking and Automated Analysis in
-Sports Videos
-Nikhil M.1, Sreejith S.2
-,2Department of ECE, Government College of Engineering Kannur, kerala, India"

 6e99832e265999194aa88958d892db62afbd7ac9,Is Combinational Strategy Better For Image Memorability Prediction,"Is Combinational Strategy Better For Image
 Memorability Prediction
 Wenting Zhu"

@@ -60460,22 +51017,9 @@ Xiang Yu†
 NEC Laboratories America
 Jianchao Yang‡ Wilmot Li§
 Snapchat"

-6ee5205408fc6db03460c05765ae0f21a6eb9552,A literature review on recent multi-object tracking methods based on HMM and particle filter,"IOSR Journal of Computer Engineering (IOSR-JCE)
-e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. VII (Mar-Apr. 2014), PP 05-07
-www.iosrjournals.org
-A literature review on recent multi-object tracking methods
-ased on HMM and particle filter
-Kalyani Ahire1, Prof.P.S Mohod2
-Department of Computer Science & Engineering,, G.H.R.I.E.T.W.,RashtrasantTukdojiMaharaj Nagpur
-University Nagpur, India"

 6ebc601bba067af64b57d59039319650168df4c9,CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.,"CNN-based Real-time Dense Face Reconstruction
 with Inverse-rendered Photo-realistic Face Images
 Yudong Guo, Juyong Zhang†, Jianfei Cai, Boyi Jiang and Jianmin Zheng"

-6e885d831568520aa95f523f625623e46578efd0,Camera Selection for Adaptive Human-Computer Interface,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
-Camera Selection for Adaptive
-Human-Computer Interface
-Niki Martinel Student Member, IEEE, Christian Micheloni, Member, IEEE,
-Claudio Piciarelli, Member, IEEE and Gian Luca Foresti, Senior Member, IEEE"

 6e1802874ead801a7e1072aa870681aa2f555f35,Exploring Feature Descritors for Face Recognition,"­4244­0728­1/07/$20.00 ©2007 IEEE
 I ­ 629
 ICASSP 2007
@@ -60528,8 +51072,6 @@ New Delhi"
 6e6f516ed1ce0089d4f6d113797d711d5997802b,Face Analysis and Recognition in Mobile Devices,"Face Analysis and Recognition in Mobile Devices Valencia, November 2008 Departamento de Sistemas Informáticos y ComputaciónUniversidad Politécnica de ValenciaMauricio Villegas Santamaría"

 6ee2173c06c84cae6aae2912a4439ec956ecc3bb,Zero-shot Sim-to-Real Transfer with Modular Priors,"Zero-shot Sim-to-Real Transfer with Modular Priors
 Robert Lee1,2, Serena Mou1,2, Vibhavari Dasagi2, Jake Bruce2, J¨urgen Leitner1,2, Niko S¨underhauf1,2"

-6e297f10a02580dfc74595ff8d7db34020002ec4,Correlation Net : spatio temporal multimodal deep learning,"learning
-Novanto Yudistira, Takio Kurita, Member, IEEE,"

 6eabb24b358dea9c66ad28d2efc2c9c469e115c4,On the use of dynamic features in face biometrics: recent advances and challenges,"(will be inserted by the editor)
 On the Use of Dynamic Features in Face Biometrics: Recent Advances
 nd Challenges
@@ -60668,15 +51210,6 @@ Email: {eez138300, brejesh, eet152695"
 6ef0b43cf897f527540c29cae0618aabb7329072,Parallel Algorithms for Nearest Neighbor Search Problems in High Dimensions,"PARALLEL ALGORITHMS FOR NEAREST NEIGHBOR SEARCH
 PROBLEMS IN HIGH DIMENSIONS.
 BO XIAO∗ AND GEORGE BIROS†"

-6e32c368a6157fb911c9363dc3e967a7fb2ad9f7,Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians,"Hybrid Stochastic / Deterministic Optimization
-for Tracking Sports Players and Pedestrians(cid:2)
-Robert T. Collins1 and Peter Carr2
-The Pennsylvania State University, USA
-Disney Research Pittsburgh, USA"

-6ef6e6e8b295c90ab9390f07d91c9ef8304a409d,Preserving privacy by de-identifying face images,"Preserving Privacy
-y De-Identifying Face Images
-Elaine M. Newton, Student Member, IEEE, Latanya Sweeney, Member, IEEE Computer Society, and
-Bradley Malin, Student Member, IEEE"

 6e82ce9897093ce4f5fa795887273992489c380d,Face recognition using Eigensurface on Kinect depth-maps,"Int'l Conf. IP, Comp. Vision, and Pattern Recognition |  IPCV'16  |
 Face recognition using Eigensurface on Kinect depth-maps
 Marcelo Romero1, Cesar Flores1, Vianney Muñoz1 and Luis Carlos Altamirano2
@@ -60694,15 +51227,6 @@ The content must not be changed in any way or sold commercially in any format or
 medium without the formal permission of the author.
 When referring to this work, full bibliographic details including the author, title,
 warding institution and date of the thesis must be given."

-6e8c7e0f6a83fd02f0cc6872ca16d755406723e5,Spatio-Temporal Closed-Loop Object Detection,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TIP.2017.2651367, IEEE
-Transactions on Image Processing
-Spatio-Temporal Closed-Loop Object Detection
-Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, and Alberto Del Bimbo, Member, IEEE"

-6eb2972abed9507e21b959ba7754b599a7af41fb,Face Recognition and Verification : A Literature Review,"International Journal of Emerging Technology and Advanced Engineering
-Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 7, Issue 8, August 2017)
-Face Recognition and Verification: A Literature Review
-1,2Jaipur National University, Department of Electronics & Communication Engineering, Jaipur, Rajasthan, India
-Aditi Upadhyay1, Sudhir Kumar Sharma2"

 6e198f6cc4199e1c4173944e3df6f39a302cf787,MORPH-II : Inconsistencies and Cleaning Whitepaper,"MORPH-II: Inconsistencies and Cleaning Whitepaper
 Participants: G. Bingham, B. Yip, M. Ferguson, and C. Nansalo
 Mentors: C. Chen, Y. Wang, and T. Kling
@@ -60720,13 +51244,6 @@ Professor Alfred O. Hero III, Chair
 Professor Jefirey A. Fessler
 Professor Susan A. Murphy
 Professor David L. Neuhofi"

-6e396401b3950eccdaf8265aeae8a4f0da8965a0,Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis,"Obstacle Detection Quality as a Problem-Oriented
-Approach to Stereo Vision Algorithms Estimation
-in Road Situation Analysis
-A.A. Smagina, D.A. Shepelev, E.I. Ershov, A.S. Grigoryev
-Institute for Information Transmission Problems (Kharkevich Institute) –IITP RAS,
-Bolshoy Karetny per. 19, build.1, Moscow, Russia, 127051
-E-mail:"

 6e604946a0a51911db0e887378ba1ae103dcfb9e,Detection and Classification of a Moving Object in a Video Stream,"Proc. of the Intl. Conf. on Advances in Computing and Information Technology-- ACIT 2014
 Copyright © Institute of Research Engineers and Doctors. All rights reserved.
 ISBN: 978-981-07-8859-9 doi: 10.3850/ 978-981-07-8859-9_23
@@ -60777,19 +51294,6 @@ nd it is a condition of accessing publications that users recognise and abide by
 ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
 ? You may not further distribute the material or use it for any profit-making activity or commercial gain
 ? You may freely distribute the URL identifying the publication in the public portal ?"

-6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,"International Journal on Recent and Innovation Trends in Computing and Communication
-ISSN: 2321-8169
-Volume: 2 Issue: 5
-1275– 1281
-_______________________________________________________________________________________________
-Automatic Naming of Character using Video Streaming for Face
-Recognition with Graph Matching
-Nivedita.R.Pandey
-Ranjan.P.Dahake
-PG Student at MET’s IOE Bhujbal Knowledge City,
-PG Student at MET’s IOE Bhujbal Knowledge City,
-Nasik, Maharashtra, India,
-Nasik, Maharashtra, India,"

 6ee8a94ccba10062172e5b31ee097c846821a822,How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis,"Submitted 3/13; Revised 10/13; Published 12/13
 How to Solve Classification and Regression Problems on
 High-Dimensional Data with a Supervised
@@ -60806,26 +51310,6 @@ Xingyu Chen, Junzhi Yu, Senior Member, IEEE, Shihan Kong, Zhengxing Wu, and Li W
 01a152e7ca6accce4fa52e29b27feb76418583fb,Tracking Multiple High-Density Homogeneous Targets,"IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. X, NO. X, XXXX
 Tracking multiple high-density homogeneous targets
 Fabio Poiesi and Andrea Cavallaro"

-01d94d568447075d9f32f6c1e7af9255188a6938,A biometric database with rotating head videos and hand-drawn face sketches,"A Biometric Database with Rotating Head Videos and
-Hand-drawn Face Sketches
-Hanan A. Al Nizami, Jeremy P. Adkins-Hill, Yong Zhang, John R. Sullins,
-Christine McCullough, Shaun Canavan, and Lijun Yin
-infrared cameras, or 3D laser scanners), a particular biometric
-feature (fingerprint, face, ear, iris, or gait), or an application
-domain (data security, access control, health care registration,
-or forensic investigation).
-The database presented here includes two unique types of
-data:  (i)  Rotating  head  videos  with  strong  shadows;  (ii)
-Hand-drawn face sketches. In addition, video frames of ten
-face  pose  angles  were  determined  manually  using  the
-Reference  Images  and  empirical  rules.  Although  the  initial
-motivation of building such a database is to study multi-frame
-fusion  for  video-based  face  recognition  and  quantitative
-ssessment of sketch effectiveness in criminal investigations,
-the database is useful for a wide range of research topics.
-In video-based face recognition, experiments have shown
-that multi-frame fusion is an effective method to improve the
-recognition  rate  [13,  14,  15].  The  performance  gain  is"

 01bef320b83ac4405b3fc5b1cff788c124109fb9,Translating Head Motion into Attention - Towards Processing of Student's Body-Language.,"de Lausanne
 RLC D1 740, CH-1015
 Lausanne
@@ -60852,9 +51336,6 @@ Solving Uncalibrated Photometric Stereo using Total
 Variation
 Yvain Qu´eau · Fran¸cois Lauze · Jean-Denis Durou
 the date of receipt and acceptance should be inserted later"

-01e812ad00b7743e9b24aa070a24023f05710b8b,A Distributed Representation Based Query Expansion Approach for Image Captioning,"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics
-nd the 7th International Joint Conference on Natural Language Processing (Short Papers), pages 106–111,
-Beijing, China, July 26-31, 2015. c(cid:13)2015 Association for Computational Linguistics"

 014b4335d055679bc680a6ceb6f1a264d8ce8a4a,Are You Sure You Want To Do That? Classification with Verification,"Are You Sure You Want To Do That?
 Classification with Verification
 Harris Chan∗
@@ -60868,11 +51349,6 @@ Fernanda Viegas Rory Sayres"
 Model
 K. Jüngling1, S. Becker1, and M. Arens1
 Object Recognition, Fraunhofer IOSB, Ettlingen, Germany"

-01f21ad0eccdbb56dd60c397a27415b9f33d5ec3,Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks,"Learning Contextual Dependencies with
-Convolutional Hierarchical Recurrent
-Neural Networks
-Zhen Zuo, Student Member, IEEE, Bing Shuai, Student Member, IEEE, Gang Wang, Member, IEEE,
-Xiao Liu, Xingxing Wang, and Bing Wang, Student Member, IEEE"

 01591390da1356b871aefe11d4bb92c1df5ba082,Online Appendix to : Content-based Image Retrieval,"Content-based Image Retrieval
 Haoran Wang,
 Yuanbin Wang,
@@ -60924,12 +51400,6 @@ Murilo Varges da Silva1,2 and Aparecido Nilceu Marana3
 UFSCar - Federal University of Sao Carlos, Sao Carlos, SP, Brazil
 IFSP - Federal Institute of Education of Sao Paulo, Birigui, SP, Brazil
 UNESP - Sao Paulo State University, Bauru, SP, Brazil"

-01f5689a4010ae14ca444c36bec81f12ce528912,"EXTENDED FAST SEARCH CLUSTERING ALGORITHM: WIDELY DENSITY CLUSTERS, NO DENSITY PEAKS","EXTENDED FAST SEARCH CLUSTERING
-ALGORITHM: WIDELY DENSITY
-CLUSTERS, NO DENSITY PEAKS
-Zhang WenKai1 and Li Jing2
-,2School of Computer Science and Technology, University of Science and
-Technology of China, Hefei, 230026, China"

 0135747b4d3c9a2d983f7d0d9f4c39e094825149,Embedded wavelet-based face recognition under variable position,"Embedded wavelet-based face recognition under variable
 position
 Pascal Cotreta, Stéphane Chevobbea and Mehdi Darouicha
@@ -61082,12 +51552,6 @@ Computer Engineering
 Bo˜gazic.i University
 ˙Istanbul, Turkey
 Email:"

-013e9e0f712d8caa89dd0881ab8dcf90d687ba50,Face Recognition using LBP and LVQ Classifier,"Face Recognition using LBP and LVQ Classifier
-Abdul Quyoom
-Department of Computer Science Engineering
-Central University of Rajasthan
-Ajmer, Rajasthan, India
-each  human"

 01381e2faeb26489ae9c24c84c42df33901cfe61,Multi-scale Deep Learning Architectures for Person Re-identification,"Multi-scale Deep Learning Architectures for Person Re-identification
 Xuelin Qian1 Yanwei Fu2,5,* Yu-Gang Jiang1,3 Tao Xiang4 Xiangyang Xue1,2
 Shanghai Key Lab of Intelligent Info. Processing, School of Computer Science, Fudan University;
@@ -61113,33 +51577,8 @@ portant use for the elderly population.
 In particular, pupil
 size may be a valuable source of information, since, apart
 from pathological cases, it can reveal the emotional state, the"

-0163d847307fae508d8f40ad193ee542c1e051b4,Classemes and Other Classifier-Based Features for Efficient Object Categorization,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007
-Classemes and Other Classifier-based
-Features for Efficient Object Categorization
-- Supplementary material -
-Alessandro Bergamo, and Lorenzo Torresani, Member, IEEE
-LOW-LEVEL FEATURES
-We extract the SIFT [1] features for our descriptor
-ccording to the following pipeline. We first convert
-each image to gray-scale, then we normalize the con-
-trast by forcing the 0.01% of lightest and darkest pixels
-to be mapped to white and black respectively, and
-linearly rescaling the values in between. All images
-exceeding 786,432 pixels of resolution are downsized
-to this maximum value while keeping the aspect ratio.
-The 128-dimensional SIFT descriptors are computed
-from the interest points returned by a DoG detec-
-tor [2]. We finally compute a Bag-Of-Word histogram
-of these descriptors, using a K-means vocabulary of
-500 words.
-CLASSEMES"

 01915181692c821cc5a0a703047bd5b07c1f9af5,Cross-Caption Coreference Resolution for Automatic Image Understanding,"Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 162–171,
 Uppsala, Sweden, 15-16 July 2010. c(cid:13)2010 Association for Computational Linguistics"

-017ce398e1eb9f2eed82d0b22fb1c21d3bcf9637,FACE RECOGNITION WITH HARMONIC DELIGHTING,"FACE RECOGNITION WITH HARMONIC DE-LIGHTING
-Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2
-ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing, China, 100080
-Graduate School, CAS, Beijing, China, 100080
-Emails: {lyqing, sgshan, wgao}jdl.ac.cn"

 01ece1dd9a0a2a7289d791625c6c7446d38584e7,A Comparative Analysis of Classification Algorithms Applied to M 5 AIE-Extracted Human Poses,"A Comparative Analysis of Classification Algorithms
 Applied to M5AIE-Extracted Human Poses
 Andr´e Brand˜ao, Leandro A. F. Fernandes, and Esteban Clua
@@ -61153,14 +51592,6 @@ phone: + (34)934011066, fax: + (34)934016447, email:
 Jordi Girona, 1-3, 08034 Barcelona, SPAIN
 Image Processing Group, Universitat Polit`ecnica de Catalunya
 web: gps-tsc.upc.es/imatge"

-01c8d7a3460422412fba04e7ee14c4f6cdff9ad7,Rule Based System for Recognizing Emotions Using Multimodal Approach,"(IJACSA) International Journal of Advanced Computer Science and Applications,
-Vol. 4, No. 7, 2013
-Rule Based System for Recognizing Emotions Using
-Multimodal Approach
-Preeti Khanna
-Information System
-SBM, SVKM’s NMIMS
-Mumbai, India"

 01f42436042ddaa48998c87109cbe46cad6e7e52,Schedtask: a hardware-assisted task scheduler,"SchedTask: A Hardware-Assisted Task Scheduler
 Prathmesh Kallurkar∗
 Microarchitecture Research Lab
@@ -61183,17 +51614,6 @@ of Gray Matter
 Moo K. Chung*, Kim M. Dalton, Li Shen, Alan C. Evans, and Richard J. Davidson"

 0113b302a49de15a1d41ca4750191979ad756d2f,Matching Faces with Textual Cues in Soccer Videos,"­4244­0367­7/06/$20.00 ©2006 IEEE
 ICME 2006"

-01350214f850f43d72268df4f98b05901fbbe06c,1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3,"Preprints (www.preprints.org)  |  NOT PEER-REVIEWED  |  Posted: 19 September 2018                   doi:10.20944/preprints201809.0361.v1
-Article
-Deep convolutional neural networks for detection of
-polar mesocyclones from satellite mosaics
-Mikhail Krinitskiy 1,*, Polina Verezemskaya 1,2, Kirill Grashchenkov1,3, Natalia Tilinina1,
-Sergey Gulev1 and Matthew Lazzara 4
-Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia;
-Research Computing Center of Lomonosov Moscow State University, Moscow, Russia
-Moscow Institute of Physics and Technology, Moscow, Russia
-University of Wisconsin-Madison and Madison Area Technical College, Madison, Wisconsin, USA
-*  Correspondence: Tel.: +7-926-141-6200"

 015d25f66514ce0a966300944201d45968a104ba,SIMPLE IMAGE DESCRIPTION GENERATOR VIA A LINEAR PHRASE-BASED MODEL Rémi Lebret,"SIMPLE IMAGE DESCRIPTION GENERATOR
 VIA A LINEAR PHRASE-BASED MODEL
 Rémi Lebret        Pedro H. O. Pinheiro
@@ -61380,20 +51800,6 @@ Portland State University and Los Alamos National Laboratory
 Nicolas W. Hengartner, Kevin R. Vixie, and Brendt E. Wohlberg
 Los Alamos National Laboratory
 Los Alamos, NM 87545"

-c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2,Towards a Development of Augmented Reality for Jewellery App,"Revati Mukesh Raspayle et al, International Journal of Computer Science and Mobile Computing, Vol.5 Issue.6, June- 2016, pg. 129-137
-Available Online at www.ijcsmc.com
-International Journal of Computer Science and Mobile Computing
-A Monthly Journal of Computer Science and Information Technology
-ISSN 2320–088X
-IMPACT FACTOR: 5.258
-IJCSMC, Vol. 5, Issue. 6, June 2016, pg.129 – 137
-Towards a Development of Augmented
-Reality for Jewellery App
-Er. Revati Mukesh Raspayle1, Prof. Kavita Kelkar2
-¹Student (M.Tech) CSE, Mumbai University, Computer Engineering, K.J SOMAIYA COE Vidyavihar,
-²Assistant Professor, Mumbai University, Computer Engineering, K.J SOMAIYA COE Vidyavihar,
-Mumbai 400077, India
-Mumbai 400077, India"

 c6eb026d3a0081f4cb5cde16d3170f8ecf8ce706,Face Recognition: From Traditional to Deep Learning Methods,"Face Recognition: From Traditional to Deep
 Learning Methods
 Daniel S´aez Trigueros, Li Meng
@@ -61609,12 +52015,6 @@ Department of Information Technology
 Cummins College of Engineering for Women
 Karve Nagar, Pune - 411052
 for  more  effective"

-f65896855e5df3db5422b57ab360287efa213066,DETECTION OF UNCONTROLLED MOTION BEHAVIOR IN HUMAN,"IJRET: International Journal of Research in Engineering and Technology        eISSN: 2319-1163 | pISSN: 2321-7308
-DETECTION OF UNCONTROLLED MOTION BEHAVIOR IN HUMAN
-CROWDS
-Vijitha V. A1
-Student of M. Tech., Computer Science & Engineering, Sahyadri College of Engineering & Management, Karnataka,
-India"

 f6684367e7925cd90fb8974640d41823191c7cff,CNN-based Pore Detection and Description for High-Resolution Fingerprint Recognition,"Automatic Dataset Annotation to Learn CNN Pore
 Description for Fingerprint Recognition
 Gabriel Dahia
@@ -61650,16 +52050,6 @@ f6ce34d6e4e445cc2c8a9b8ba624e971dd4144ca,Cross-Label Suppression: A Discriminati
 Dictionary Learning with Group Regularization
 Xiudong Wang and Yuantao Gu∗
 April 24, 2017"

-f67a73c9dd1e05bfc51219e70536dbb49158f7bc,A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map,"Journal of Computer Science 10 (11): 2292-2298, 2014
-ISSN: 1549-3636
-© 2014 Nithyashri and Kulanthaivel, This open access article is distributed under a Creative Commons Attribution
-(CC-BY) 3.0 license
-A GAUSSIAN MIXTURE MODEL FOR CLASSIFYING THE
-HUMAN AGE USING DWT AND SAMMON MAP
-J. Nithyashri and 2G. Kulanthaivel
-Department of Computer Science and Engineering, Sathyabama University, Chennai, India
-Department of Electronics Engineering, NITTTR, Chennai, India
-Received 2014-05-08; Revised 2014-05-23; Accepted 2014-11-28"

 f621f4cdb4158f72f12fdd55564bcdce322dce7c,Recursive Coarse-to-Fine Localization for Fast Object Detection,"International Journal of Control and Automation
 Vol.7, No.1 (2014), pp.235-242
 http://dx.doi.org/10.14257/ijca.2014.7.1.20
@@ -61706,42 +52096,15 @@ f6ce7e947f1cfe75abda61f018c3ca7e38fceb20,NLE@MediaEval'17: Combining Cross-Media
 Embeddings for Retrieving Diverse Social Images
 Jean-Michel Renders and Gabriela Csurka
 Naver Labs Europe, Meylan, France"

-f672bf42dbefb6b40921c00a05f60284934e9948,LDS-Inspired Residual Networks,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2018.2869680, IEEE
-Transactions on Circuits and Systems for Video Technology
-LDS-Inspired Residual Networks
-Anastasios Dimou, Dimitrios Ataloglou, Kosmas Dimitropoulos, Member, IEEE,
-Federico Alvarez, Member, IEEE, and Petros Daras, Senior Member, IEEE"

 f676cdb17ccd5b65f44ce67677d8646b48d8939e,Occupancy Networks: Learning 3D Reconstruction in Function Space,"Occupancy Networks: Learning 3D Reconstruction in Function Space
 Lars Mescheder1 Michael Oechsle1,2 Michael Niemeyer1
 Sebastian Nowozin3† Andreas Geiger1
 Autonomous Vision Group, MPI for Intelligent Systems and University of T¨ubingen
 ETAS GmbH, Stuttgart
 Google AI Berlin"

-f6551620737ea608da36842929681fee811239db,Object Tracking via Partial Least Squares Analysis,"Object Tracking via Partial Least
-Squares Analysis
-Qing Wang, Student Member, IEEE, Feng Chen, Member, IEEE,
-Wenli Xu, and Ming-Hsuan Yang, Senior Member, IEEE"

 f60070d3a4d333aa1436e4c372b1feb5b316a7ba,Face Recognition via Centralized Coordinate Learning,"Face Recognition via Centralized Coordinate
 Learning
 Xianbiao Qi, Lei Zhang"

-f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,"An Approach to Illumination and Expression Invariant
-International Journal of Computer Applications (0975 – 8887)
-Volume 91 – No.15, April 2014
-Multiple Classifier Face Recognition
-Dalton Meitei Thounaojam
-National Institute of Technology
-Silchar
-Assam: 788010
-India
-Hidangmayum Saxena Devi
-National Institute of Technology
-Silchar
-Assam: 788010
-India
-Romesh Laishram
-Manipur Institute of Technology
-Imphal West: 795001
-India"

 7dba0e39bb059103e10fb81bce2fe831f520fb38,Articulated human pose estimation in natural images,"Articulated Human Pose Estimation
 in Natural Images
 Samuel Alan Johnson
@@ -61806,15 +52169,6 @@ Johann Schleier-Smith
 San Francisco, CA 94111
 if(we) Inc.
 848 Battery St."

-7d9fe410f24142d2057695ee1d6015fb1d347d4a,Facial Expression Feature Extraction Based on FastLBP,"Facial Expression Feature Extraction Based on
-FastLBP
-Computer and Information Engineering Department of Beijing Technology and Business University, Beijing, China
-Ya Zheng
-Email:
-Computer and Information Engineering Department of Beijing Technology and Business University, Beijing, China
-Email:
-Xiuxin Chen, Chongchong Yu and Cheng Gao
-facial  expression"

 7d96ecb24b3d8595267365cfc9878d46280f1e8c,End-to-end steering angle prediction and object detection using convolutional neural networks,"End-to-end steering angle prediction and
 object detection using convolutional
 neural networks
@@ -61936,10 +52290,6 @@ Chen Change Loy, Ke Chen, Shaogang Gong, and Tao Xiang"
 7dd654ac5e775fa1fa585e257565455ae8832caf,Deep Pictorial Gaze Estimation,"Deep Pictorial Gaze Estimation
 Seonwook Park, Adrian Spurr, and Otmar Hilliges
 AIT Lab, Department of Computer Science, ETH Zurich"

-7d6539d637f919fa20a9261e03aedcf59f92598e,Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning,"Improving Cross-resolution Face Matching using
-Ensemble based Co-Transfer Learning
-Himanshu S. Bhatt, Student Member, IEEE, Richa Singh, Senior Member, IEEE, Mayank Vatsa, Senior
-Member, IEEE, and Nalini K. Ratha, Fellow, IEEE"

 7d841607ce29ff4a75734ffbf569431425d8342f,Bimodal 2D-3D face recognition using a two-stage fusion strategy,"Bimodal 2D-3D face recognition using a two-stage fusion
 strategy
 Amel AISSAOUI1 and Jean MARTINET2
@@ -61951,10 +52301,6 @@ CRIStAL
 Lille 1 University
 Villeneuve d’Ascq, France
 Email:"

-7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,"Hierarchical Gaussian Descriptors with
-Application to Person Re-Identification
-Tetsu Matsukawa, Member, IEEE, Takahiro Okabe, Member, IEEE,
-Einoshin Suzuki, Non Member, IEEE and Yoichi Sato, Member, IEEE"

 7dcd927b3651d9230f074d19a9b65d1c96fc4604,How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change,"How to Train a CAT: Learning Canonical
 Appearance Transformations for Direct Visual
 Localization Under Illumination Change
@@ -62051,9 +52397,6 @@ Dimitris Metaxas*, Mark Dilsizian*, Carol Neidle**
 *Rutgers University, **Boston University
 *Rutgers University, CBIM, Department of Computer Science, 617 Bowser Road, Piscataway, NJ  08854
 **Boston University Linguistics, 621 Commonwealth Ave., Boston, MA  02215"

-2d294c58b2afb529b26c49d3c92293431f5f98d0,Maximum Margin Projection Subspace Learning for Visual Data Analysis,"Maximum Margin Projection Subspace Learning
-for Visual Data Analysis
-Symeon Nikitidis, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE"

 2d1b8f60f2724efd6c9344870fb60e8525157d70,Parallel Multiscale Autoregressive Density Estimation,"Parallel Multiscale Autoregressive Density Estimation
 Scott Reed 1 A¨aron van den Oord 1 Nal Kalchbrenner 1 Sergio G´omez Colmenarejo 1 Ziyu Wang 1
 Yutian Chen 1 Dan Belov 1 Nando de Freitas 1"

@@ -62062,15 +52405,6 @@ using Means of Covariance Descriptors
 Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB
 J¨urgen Metzler
 76131 Karlsruhe, Germany"

-2d8f08dbb012621504753a4df493b785ad22ef0f,Face Recognition Techniques for Authentication in Smart Devices-Comparative Study,"International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868
-Foundation of Computer Science FCS, New York, USA
-Volume 12 – No. 1, April 2017 – www.ijais.org
-Face Recognition Techniques for Authentication in
-Smart Devices - Comparative Study
-Jerin George
-Post Graduate Student, MCA
-Department of Computer Science, Christ University
-Bengaluru, India"

 2df4d05119fe3fbf1f8112b3ad901c33728b498a,A regularization scheme for structured output problems : an application to facial landmark detection,"Facial landmark detection using structured output deep
 neural networks
 Soufiane Belharbi ∗1, Cl´ement Chatelain∗1, Romain H´erault∗1, and S´ebastien
@@ -62098,10 +52432,6 @@ x − c1n2
 The forward process is described by equations (3),(4),
 nd (5) in the main paper. We now provide the backward
 process, i.e., the partial derivatives ∂Si"

-2d4d463b1bf1c26afafea7b98ad8f7f06b5b1a4c,Improving Image Captioning with Conditional Generative Adversarial Nets,"Improving Image Captioning with Conditional Generative Adversarial Nets
-Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju
-{beckhamchen, harrymou, wanpengxiao, joeyye, henrylwu,
-Tencent AI Lab, Shenzhen, China 518000"

 2d950a3e8c74efb08197bfcb9c64a6b111f6bcd9,DENSE MATCHING COMPARISON BETWEEN CENSUS AND A CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR PLANT RECONSTRUCTION,"DENSE MATCHING COMPARISON BETWEEN CENSUS AND A CONVOLUTIONAL
 NEURAL NETWORK ALGORITHM FOR PLANT RECONSTRUCTION
 Y. Xia, J. Tian, P. d’Angelo, P. Reinartz
@@ -62131,12 +52461,6 @@ CITATION
 Gündemir, S., Carton, A. M., & Homan, A. C. (2018, September 24). The Impact of Organizational
 Performance on the Emergence of Asian American Leaders. Journal of Applied Psychology.
 Advance online publication. http://dx.doi.org/10.1037/apl0000347"

-2dd853b617c176810e3dda008f7cacea6473f0ae,Image captioning using deep neural architectures,"Image Captioning using Deep Neural
-Architectures
-Parth Shah (orcid.org/0000-0002-7880-2228), Vishvajit Bakarola
-(orcid.org/0000-0002-6602-9194), and Supriya Pati
-(orcid.org/0000-0001-5528-6104)
-Chhotubhai Gopalbhai Patel Institute of Technology, Bardoli, India"

 2d9e30680a17bbdf83ce27287bc1901da7198f74,"Symmetry, probability, and recognition in face space.","Symmetry, probability, and recognition in face space
 Lawrence Sirovich1 and Marsha Meytlis
 Laboratory of Applied Mathematics, Mount Sinai School of Medicine, 1 Gustave L. Levy Place, New York, NY 10029
@@ -62162,12 +52486,6 @@ Multiple-View Face Hallucination by a Novel
 Regression Analysis in Tensor Space
 Faculty of Engineering and Technology, Panyapiwat Institute of Management, Thailand
 Parinya Sanguansat"

-2dbb4b45b6a392268ce45d16fb944a652d434bd2,Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning,"Maximal Cliques that Satisfy Hard Constraints with
-Application to Deformable Object Model Learning
-Xinggang Wang1∗ Xiang Bai1 Xingwei Yang2† Wenyu Liu1 Longin Jan Latecki3
-Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China
-Image Analytics Lab, GE Research, One Research Circle, Niskayuna, NY 12309, USA
-Dept. of Computer and Information Sciences, Temple Univ., USA"

 2d84c0d96332bb4fbd8acced98e726aabbf15591,Investigating the Role of Saliency for Face Recognition,"UNIVERSITY OF CALIFORNIA
 RIVERSIDE
 Investigating the Role of Saliency for Face Recognition
@@ -62333,12 +52651,6 @@ Xi Zhao, Emmanuel Dellandr´ea, Liming Chen and Dimitris Samaras"
 2d15a7546c16d5821ffa8f769eb7ec18e435e64d,Recognition in Terra Incognita,"Recognition in Terra Incognita
 Sara Beery, Grant Van Horn, and Pietro Perona
 Caltech"

-2d8ffa4a27b3e3b792b2d2516bbcb1a47c114846,Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition,"JOURNAL OF LATEX CLASS FILES
-Multi-view Laplacian Eigenmaps
-Based on Bag-of-Neighbors
-For RGBD Human Emotion Recognition
-Shenglan Liu, Member, IEEE, Shuai Guo, Hong Qiao, Senior Member, IEEE, Yang Wang, Bin Wang,
-Wenbo Luo, Mingming Zhang, Keye Zhang, and Bixuan Du"

 2d22a60e69ebdb3fde056adcf4f6a08ccdb6106f,Robust Facial Expression Recognition Mr,"IJREAT International Journal of Research in Engineering & Advanced Technology, Volume 2, Issue 2, Apr-May, 2014
 ISSN: 2320 – 8791 (Impact Factor: 1.479)
 www.ijreat.org
@@ -62394,11 +52706,6 @@ Department of Social Psychology, Friedrich Schiller University of Jena, Humboldt
 Michael Stifel Center, Ernst-Abbe-Platz 2, 07743 Jena, Germany
 Keywords:
 Nonverbal emotional communication, Granger causality, maximally coherent intervals"

-2dc62458979dfc00ec195258ea8809077c5de442,Robust Painting Recognition and Registration for Mobile Augmented Reality,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2007
-Robust Painting Recognition and Registration
-for Mobile Augmented Reality
-Niki Martinel*, Student Member, IEEE, Christian Micheloni, Member, IEEE,
-nd Gian Luca Foresti, Senior Member, IEEE"

 ecdf8e5393eead0b63c5bc4fbe426db5a70574eb,Linear Subspace Learning for Facial Expression Analysis,"Linear Subspace Learning for
 Facial Expression Analysis
 Caifeng Shan
@@ -62461,16 +52768,8 @@ tioning may be informative because, although these processes overlap anatomicall
 re compromised in each network are different in ADHD and BD. Adults, aged 18 – 62, with ADHD (n ⫽
 2), BD (n ⫽ 20), and healthy controls (n ⫽ 21) performed an interleaved pro- and antisaccade task"

 ecbb05ad1d5ffc9bad3c33a8cb800d3a6d034159,Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition,

-eca9b9dd665556423278b85f79e1d589009a7ea7,Person Re-Identi fi cation by Robust Canonical Correlation Analysis,"IEEE SIGNAL PROCESSING LETTERS, VOL. 22, NO. 8, AUGUST 2015
-Person Re-Identification by Robust
-Canonical Correlation Analysis
-Le An, Songfan Yang, Member, IEEE, and Bir Bhanu, Fellow, IEEE"

 ec196dbede1772541bb9df2efeda655d377b291e,Fast Disparity Estimation Using Dense Networks,"Fast Disparity Estimation using Dense Networks*
 Rowel Atienza1"

-ec443db55db1a6721387b2054b94f6df020994ae,Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes,"Weakly Supervised Visual Dictionary Learning
-y Harnessing Image Attributes
-Yue Gao, Senior Member, IEEE, Rongrong Ji, Senior Member, IEEE, Wei Liu, Member, IEEE,
-Qionghai Dai, Senior Member, IEEE, and Gang Hua, Senior Member, IEEE"

 ec89c5f2f5acce23b0d05736cd9f32d4ca6dc382,Body Actions Change the Appearance of Facial Expressions,"Body Actions Change the Appearance of Facial
 Expressions
 Carlo Fantoni1,2*, Walter Gerbino1
@@ -62509,9 +52808,6 @@ Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil.
 Department of Computing, S˜ao Paulo State University (Unesp), Bauru, Brazil.
 E-mails: {jow,
 Equal contributors."

-ec8eed7fd8549abb269d95a12d1ac1f2898ea2fb,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,"Deep Class-Wise Hashing:
-Semantics-Preserving Hashing via Class-wise Loss
-Xuefei Zhe, Shifeng Chen, Member, IEEE, and Hong Yan, Fellow, IEEE"

 ece31d41b4da5457d570c04d22f19fcd026776b6,Learning Deep Disentangled Embeddings with the F-Statistic Loss,"Learning Deep Disentangled Embeddings
 With the F-Statistic Loss
 Karl Ridgeway
@@ -62538,10 +52834,6 @@ Fabio Remondino, Trento
 Markus Gerke, Twente"

 ec7d418ddf95d231b2afc70ed8c94d0764abec61,Knowledge Transfer Using Latent Variable Models,"Copyright
 Ayan Acharya"

-ec2a887e02237e0b221b721eedac14254ec681cf,Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval,"JOURNAL OF LATEX CLASS FILES, VOL. **, NO. **, AUGUST 2018
-Deep Feature Aggregation and Image Re-ranking
-with Heat Diffusion for Image Retrieval
-Shanmin Pang, Jin Ma, Jianru Xue, Member, IEEE, Jihua Zhu, Member, IEEE, Vicente Ordonez"

 ec0104286c96707f57df26b4f0a4f49b774c486b,An Ensemble CNN2ELM for Age Estimation,"An Ensemble CNN2ELM for Age Estimation
 Mingxing Duan , Kenli Li, Senior Member, IEEE, and Keqin Li, Fellow, IEEE"

 ecd0a2e55f456b69243d1278fee15d8dbfc98c28,Heterogeneous Multicores : When Slower is Faster,"Heterogeneous Multicores: When Slower is Faster
@@ -62549,13 +52841,6 @@ Tomas Hruby
 Herbert Bos
 The Network Institute, VU University Amsterdam
 Andrew S. Tanenbaum"

-ec3621e900cc50afd067584bb1246a8b4e338fa8,Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering,"Structured Triplet Learning with POS-tag Guided Attention
-for Visual Question Answering
-Zhe Wang1 Xiaoyi Liu2 Liangjian Chen1 Limin Wang3 Yu Qiao4 Xiaohui Xie1 Charless Fowlkes1
-Dept. of CS, UC Irvine
-Microsoft
-CVL, ETH Zurich
-SIAT, CAS"

 ecf4690ddd3ad26f9cd1749d16ef1aa06d391f92,Does Exposure to Hostile Environments Predict Enhanced Emotion Detection?,"PDF hosted at the Radboud Repository of the Radboud University
 Nijmegen
 The following full text is a publisher's version.
@@ -62587,9 +52872,6 @@ Title
 Bilingualism and Children's Attention to Facial Expressions that Conflict with Lexical
 Content
 Amani Asad"

-37b6d6577541ed991435eaf899a2f82fdd72c790,Vision-based Human Gender Recognition: A Survey,"Vision-based Human Gender Recognition: A Survey
-Choon Boon Ng, Yong Haur Tay, Bok Min Goi
-Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia."

 375993fd5f94c7b02169ff0d71a74d1b84262dfc,Parallel Application Library for Object Recognition,"Parallel Application Library for Object Recognition
 Bor-Yiing Su
 Electrical Engineering and Computer Sciences
@@ -62650,26 +52932,6 @@ Senstar Corporation
 Waterloo, Canada
 {Paul.Marchwica, Mike.Jamieson,
 the art"

-37a23e76674e606ce779131d2c93496e8a53bb2f,The discrete cosine transform ( DCT ) plus local normalization : a novel two-stage method for de-illumination in face recognition,"Optica Applicata, Vol. XLI, No. 4, 2011
-The discrete cosine transform (DCT)
-plus local normalization:
-novel two-stage method
-for de-illumination in face recognition
-MINGHUA ZHAO*, YINGHUI WANG, ZHENGHAO SHI, JIULONG ZHANG
-School of Computer Science and Engineering, Xi’an University of Technology, Xi’an710048, China
-*Corresponding author:
-To  deal  with  illumination  variations  in  face  recognition,  a  novel  two-stage  illumination
-normalization method is proposed in this paper. Firstly, a discrete cosine transform (DCT) is used
-on the original images in logarithm domain. DC coefficient is set based on the average pixel value
-of all the within-class training samples and some low frequency AC coefficients are set to zero to
-eliminate illumination variations in large areas. Secondly, local normalization method, which can
-minimize illumination variations in small areas, is used on the inverse DCT images. This makes
-the pixel values on the processed images be close to or equal to that of the normal illumination
-ondition. Experimental results, both on Yale B database and Extended Yale B database, show
-that the proposed method can eliminate effect of illumination variations effectively and improve
-performance  of  face  recognition  methods  significantly.  The  present  method  does  not  demand
-modeling step and can eliminate the effect of illumination variations before face recognition. In
-this way, it can be used as a preprocessing step for any existing face recognition method."

 37c014854655980870122143d16ecf585c7b8980,Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning,"Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
 Crowd-Robot Interaction:
 Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi"

@@ -62696,10 +52958,6 @@ This paper shows how the results returned by an image search engine
 an be used to construct models from Internet images and
 use them for object recognition.
 By Rob Fergus, Li Fei-Fei, Pietro Perona, Member IEEE, and Andrew Zisserman"

-37eb666b7eb225ffdafc6f318639bea7f0ba9a24,"Age , Gender and Race Estimation from Unconstrained Face Images","MSU Technical Report (2014): MSU-CSE-14-5
-Age, Gender and Race Estimation from
-Unconstrained Face Images
-Hu Han, Member, IEEE and Anil K. Jain, Fellow, IEEE"

 377a1be5113f38297716c4bb951ebef7a93f949a,Facial emotion recognition with anisotropic inhibited Gabor energy histograms,"Dear Faculty, IGERT Fellows, IGERT Associates and Students,
 You are cordially invited to attend a Seminar presented by Albert Cruz. Please
 plan to attend.
@@ -62746,9 +53004,6 @@ Faculty of Information Technology,
 IT4Innovations Centre of Excellence
 Bozetechova 1/2, Brno 61266, Czech Republic
 Bozetechova 1/2, Brno 61266, Czech Republic"

-3748a828dabc6b5292b53cec6080cef33d78d3e3,On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach,"On Clustering and Embedding Manifolds using a
-Low Rank Neighborhood Approach
-Arun M. Saranathan, Student Member, IEEE, and Mario Parente, Member, IEEE"

 372a8bf0ef757c08551d41e40cb7a485527b6cd7,Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature,"Unsupervised Video Hashing by Exploiting
 Spatio-Temporal Feature
 Chao Ma, Yun Gu, Wei Liu, and Jie Yang(cid:63)
@@ -62811,23 +53066,6 @@ Baltimore, Maryland
 January, 2009
 (cid:176) Gagan Bansal 2009
 All rights reserved"

-375e478acf62eede1cc69693c54d81aa718df9e7,DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition,"Journal of Advanced Computer Science and Technology, 1 (3) (2012) 134-166
-(cid:13)Science Publishing Corporation
-www.sciencepubco.com/index.php/JACST
-DFT domain Feature Extraction using
-Edge-based Scale Normalization for
-Enhanced Face Recognition
-K Manikantan1,∗, S Ramachandran2,†
-Department of Electronics and Communication Engineering,
-M S Ramaiah Institute of Technology, Bangalore, Karnataka, India 560054
-Department of Electronics and Communication Engineering,
-S J B Institute of Technology, Bangalore, Karnataka, India 560060"

-370e0d9b89518a6b317a9f54f18d5398895a7046,Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models,"IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. X, NO. X, XXXXXXX 20XX
-Cross-pollination of normalisation techniques
-from speaker to face authentication
-using Gaussian mixture models
-Roy Wallace, Member, IEEE, Mitchell McLaren, Member, IEEE, Christopher McCool, Member, IEEE,
-nd S´ebastien Marcel, Member, IEEE"

 3726b82007512a15a530fd1adad57af58a9abb62,Teaching Compositionality to CNNs,"Teaching Compositionality to CNNs∗
 Austin Stone
 Yi Liu
@@ -62869,26 +53107,6 @@ context-based approach for pedestrian detection
 Cristiano Premebida and Urbano Nunes
 The final version is available at: http://ijr.sagepub.com/content/32/3.toc
 This is a pre-print version."

-3762bde6d3f21e8abc549d70709984c36b6bf3b6,Domain Adaptation for Pedestrian Detection Based on Prediction Consistency,"Hindawi Publishing Corporation
-e Scientific World Journal
-Volume 2014, Article ID 280382, 7 pages
-http://dx.doi.org/10.1155/2014/280382
-Research Article
-Domain Adaptation for Pedestrian Detection Based on
-Prediction Consistency
-Yu Li-ping,1,2 Tang Huan-ling,2 and An Zhi-yong1
-Key Laboratory of Intelligent Information Processing, Universities of Shandong (Shandong Institute of Business and Technology),
-Yantai 264005, China
-School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai 264005, China
-Correspondence should be addressed to An Zhi-yong;
-Received 25 March 2014; Revised 20 May 2014; Accepted 21 May 2014; Published 10 June 2014
-Academic Editor: Liang Lin
-Copyright © 2014 Yu Li-ping et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-Pedestrian detection is an active area of research in computer vision. It remains a quite challenging problem in many applications
-where many factors cause a mismatch between source dataset used to train the pedestrian detector and samples in the target
-scene. In this paper, we propose a novel domain adaptation model for merging plentiful source domain samples with scared target
-domain samples to create a scene-specific pedestrian detector that performs as well as rich target domain simples are present."

 37992120053b50b2f92eaa1949273bf828a54b50,Face Recognition Techniques-An evaluation Study,"Int. J. Advanced Networking and Applications
 Volume: 6 Issue: 4 Pages: 2393-2397       (2015) ISSN: 0975-0290
 Face Recognition Techniques - An evaluation
@@ -62909,17 +53127,6 @@ Stephens, R. G., Semmler, C., & Sauer, J. D. (2017, August 14). The Effect of th
 Mismatching Trials and Task Orientation on the Confidence–Accuracy Relationship in Unfamiliar
 Face Matching. Journal of Experimental Psychology: Applied. Advance online publication.
 http://dx.doi.org/10.1037/xap0000130"

-37b0357d2db89bc4560d4201c3c2478988c87640,Face Recognition Based on Curvelet Transform and LS-SVM,"ISBN 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)
-Proceedings  of  the  2009  International  Symposium  on  Information  Processing  (ISIP’09)
-Huangshan, P. R. China, August 21-23, 2009, pp. 140-143
-Face Recognition Based on Curvelet Transform
-nd LS-SVM
-School of Electronics, Jiangxi University of Finance and Economics, Nanchang, China
-Jianhong Xie
-long
-reduce
-singularities
-urves.  To"

 f9f08511f77c29ff948e146434dfb23608d3deb5,Question Answering Using Match-LSTM and Answer Pointer,"Question Answering Using Match-LSTM and Answer Pointer
 Annie Hu, Cindy Wang, and Brandon Yang
 {anniehu, ciwang,
@@ -62940,26 +53147,6 @@ encoding and decoding layers, and calculating attention as our interaction layer
 Dataset
 The dataset used is the recently released Stanford Question Answering Dataset (SQuAD)[1].
 The context paragraphs are extracted from Wikipedia, while questions and answers are human-"

-f93606d362fcbe62550d0bf1b3edeb7be684b000,Nearest Neighbor Classifier Based on Nearest Feature Decisions,"The Computer Journal Advance Access published February 1, 2012
-© The Author 2012. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
-For Permissions, please email:
-doi:10.1093/comjnl/bxs001
-Nearest Neighbor Classifier Based
-on Nearest Feature Decisions
-Alex Pappachen James1,∗ and Sima Dimitrijev2
-Machine Intelligence Group, School of Computer Science, Indian Institute of Information Technology and
-Queensland Micro- and Nanotechnology Centre and Griffith School of Engineering, Griffith University,
-Management, Kerala, India
-Nathan, Australia
-Corresponding author:
-High feature dimensionality of realistic datasets adversely affects the recognition accuracy of nearest
-neighbor (NN) classifiers. To address this issue, we introduce a nearest feature classifier that shifts
-the NN concept from the global-decision level to the level of individual features. Performance
-omparisons with 12 instance-based classifiers on 13 benchmark University of California Irvine
-lassification datasets show average improvements of 6 and 3.5% in recognition accuracy and
-rea under curve performance measures, respectively. The statistical significance of the observed
-performance improvements is verified by the Friedman test and by the post hoc Bonferroni–Dunn
-test. In addition, the application of the classifier is demonstrated on face recognition databases, a"

 f9028b47a4755a7349108b1dc281f13add5c6c12,Atypical gaze patterns in children and adults with autism spectrum disorders dissociated from developmental changes in gaze behaviour,"Downloaded from
 http://rspb.royalsocietypublishing.org/
 on June 9, 2017
@@ -63032,11 +53219,6 @@ Marian Moise, Xue Dong Yang and Richard Dosselmann
 Department of Computer Science, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan, Canada
 Keywords:
 Face Recognition, Generalized Hough Transform, Image Descriptors."

-f921e6f5085f1ebbd8289081e499240a89bf6c43,Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach,"Three-Dimensional Face Recognition
-in the Presence of Facial Expressions:
-An Annotated Deformable Model Approach
-Ioannis A. Kakadiaris, Member, IEEE, Georgios Passalis, George Toderici,
-Mohammed N. Murtuza, Yunliang Lu, Nikos Karampatziakis, and Theoharis Theoharis"

 f9784db8ff805439f0a6b6e15aeaf892dba47ca0,"Comparing the performance of Emotion-Recognition Implementations in OpenCV , Cognitive Services , and Google Vision APIs","Comparing the performance of Emotion-Recognition Implementations
 in OpenCV, Cognitive Services, and Google Vision APIs
 LUIS ANTONIO BELTRÁN PRIETO, ZUZANA KOMÍNKOVÁ OPLATKOVÁ
@@ -63051,9 +53233,6 @@ Bhargava Urala Kota
 Venu Govindaraju
 University at Buffalo, SUNY
 {rpandey, yingbozh, buralako,"

-f9129b3858c14b5f6cca1fcbf31c4816d94a5038,A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation,"A Robust 3D-2D Interactive Tool for Scene
-Segmentation and Annotation
-Duc Thanh Nguyen, Binh-Son Hua∗, Lap-Fai Yu, Member, IEEE, and Sai-Kit Yeung, Member, IEEE"

 f98a975642972ce24e42e6957f63be556c11dd31,Dynamic Obstacle Detection of Road Scenes using Equi-Height Mosaicking Image,"Electronic Letters on Computer Vision and Image Analysis 13(2):13-14, 2014
 Dynamic Obstacle Detection of Road Scenes
 using Equi-Height Mosaicking Image
@@ -63102,10 +53281,6 @@ Silvia Santano Guill´en, Luigi Lo Iacono, Christian Meder"
 f98cbf32989387733529fa4fc943f0a7e97b5c07,To Know and To Learn - About the Integration of Knowledge Representation and Deep Learning for Fine-Grained Visual Categorization,

 f92ceb6875f614bbccb25e4b11ca55353773890f,Saliency Detection via Boundary Prior and Center Prior,"International Robotics & Automation Journal
 Saliency Detection via Boundary Prior and Center Prior"

-f8a2a6b821a092ac43acd4e7366fe7c1e9285317,Attribute-controlled face photo synthesis from simple line drawing,"ATTRIBUTE-CONTROLLED FACE PHOTO SYNTHESIS FROM SIMPLE LINE DRAWING
-Qi Guo Ce Zhu Zhiqiang Xia Zhengtao Wang Yipeng Liu
-School of Electronic Engineering / Center for Robotics
-University of Electronic Science and Technology of China (UESTC), Chengdu, China"

 f8796b8e8246ce41efb2904c053fe0ea2868e373,A Variational U-Net for Conditional Appearance and Shape Generation,"A Variational U-Net for Conditional Appearance and Shape Generation
 Patrick Esser∗, Ekaterina Sutter∗, Bj¨orn Ommer
 Heidelberg Collaboratory for Image Processing
@@ -63151,18 +53326,6 @@ f89e5a8800b318fa03289b5cc67df54b956875b4,Do GANs actually learn the distribution
 Sanjeev Arora
 Yi Zhang
 July 4, 2017"

-f8c94afd478821681a1565d463fc305337b02779,Design and Implementation of Robust Face Recognition System for Uncontrolled Pose and Illumination Changes,"www.semargroup.org,
-www.ijsetr.com
-ISSN 2319-8885
-Vol.03,Issue.25
-September-2014,
-Pages:5079-5085
-Design and Implementation of Robust Face Recognition System for
-Uncontrolled Pose and Illumination Changes
-VIJAYA BHASKAR TALARI
-, VENKATESWARLU PRATTI
-PG Scholar, Dept of ECE, LITAM, JNTUK, Andhrapradesh, India, Email:
-Assistant Professor, Dept of ECE, LITAM, JNTUK, Andhrapradesh, India, Email:"

 f881d2a04de838c8950a279e1ed8c0f9886452af,Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation,"Multi-Stage Variational Auto-Encoders for
 Coarse-to-Fine Image Generation
 Lei Cai
@@ -63201,12 +53364,6 @@ ISSN 2229-5518
 Artificial Neural Network Design and Parameter
 Optimization for Facial Expressions Recognition
 Ammar A. Alzaydi"

-f8b37756c5d8b3af3bf78a2f3dae293725074965,CBVR for Face Based Digital Signatures,"IJCST Vol. 3, ISSue 3, July - SepT 2012
-ISSN : 0976-8491 (Online)  |  ISSN : 2229-4333 (Print)
-CBVR for Face Based Digital Signatures
-M. Nagaraju, 2M. Thanoj, 3K. Lakshmi Tejaswini, 4A. Koteswaramma
-,3,4Dept. of IT, Gudlavalleru Engineering College, AP, India
-Dept. of CSE, Andhra Loyola Institute of Engineering and Technology, Vijayawada, AP, India"

 f8e0910d50d7dffe7097b6263c6bb3952b1de336,50 Years of Test (Un)fairness: Lessons for Machine Learning,"50 Years of Test (Un)fairness: Lessons for Machine Learning
 Ben Hutchinson and Margaret Mitchell"

 f8ec92f6d009b588ddfbb47a518dd5e73855547d,Extreme Learning Machine Ensemble Using Bagging for Facial Expression Recognition,"J Inf Process Syst, Vol.10, No.3, pp.443~458, September 2014
@@ -63215,12 +53372,6 @@ ISSN 2092-805X (Electronic)
 Extreme Learning Machine Ensemble Using
 Bagging for Facial Expression Recognition
 Deepak Ghimire* and Joonwhoan Lee*"

-f8cfabecbe587c611de2696a37f96e3f77ac8555,NEMGAN: Noise Engineered Mode-matching GAN,"NEMGAN: Noise Engineered Mode-matching GAN
-Deepak Mishra∗, Prathosh AP∗, Aravind J, Prashant Pandey
-& Santanu Chaudhury
-Department of Electrical Engineering
-Indian Institute of Technology Delhi
-New Delhi, India"

 f8facd9691b9b41392aef606aea5e6bc2e7d489c,Recognition of Facial Expressions by Cortical Multi-scale Line and Edge Coding,"Recognition of facial expressions by cortical
 multi-scale line and edge coding
 R.J.R. de Sousa, J.M.F. Rodrigues and J.M.H. du Buf
@@ -63266,15 +53417,6 @@ Namita Rathore1 Rohit Miri2
 defense
 systems,
 surveillance"

-f842b13bd494be1bbc1161dc6df244340b28a47f,An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach,"An Improved Face Recognition Technique Based
-on Modular Multi-directional Two-dimensional
-Principle Component Analysis Approach
-Department of    Physics and Electronic Engineering, Hanshan Normal University, Chaozhou, 521041, China
-Xiaoqing Dong
-Department of    Physics and Electronic Engineering, Hanshan Normal University, Chaozhou, 521041, China
-Email:
-Hongcai Chen
-Email:"

 f8a5bc2bd26790d474a1f6cc246b2ba0bcde9464,"KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces","ORIGINAL RESEARCH
 published: 19 December 2017
 doi: 10.3389/fpsyg.2017.02181
@@ -63330,23 +53472,6 @@ Stefan Becker, Wolfgang H¨ubner, and Michael Arens
 Fraunhofer IOSB
 Fraunhofer Institute for Optronics, System Technologies, and Image Exploitation
 Gutleuthausstr. 1, 76275 Ettlingen, Germany"

-f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,"International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM)
-ISSN: 2150-7988 Vol.2 (2010), pp.029-038
-http://www.mirlabs.org/ijcisim
-Illumination and Pose Invariant Face Recognition: A Technical Review
-Kavita. R. Singh
-Department of Computer
-Technology, YCCE, Nagpur(M.S),
-41 110, India
-Mukesh. A. Zaveri
-Computer Engineering
-Department, S.V.National Institute
-of Technology, Surat(Gujarat),
-29507, India
-Mukesh. M. Raghuwanshi
-NYSS College of Engineering and
-Research, Nagpur(M.S), 441 110,
-India"

 e3e66ee37d08752dc19c3e3b212f869c8ff19f71,Effective Interaction-aware Trajectory Prediction using Temporal Convolutional Neural Networks,"Effective Interaction-aware Trajectory Prediction using
 Temporal Convolutional Neural Networks
 Noha Radwan
@@ -63355,12 +53480,6 @@ e39f9565903a9701657ce3ade94c37d8a12f702e,Audio-Visual Scene Analysis with Self-S
 Self-Supervised Multisensory Features
 Andrew Owens Alexei A. Efros
 UC Berkeley"

-e3582dffe5f3466cc5bc9d736934306c551ab33c,AttGAN: Facial Attribute Editing by Only Changing What You Want,"SUBMITTED MANUSCRIPT TO IEEE TRANSACTIONS ON IMAGE PROCESSING
-AttGAN: Facial Attribute Editing by
-Only Changing What You Want
-Zhenliang He, Wangmeng Zuo, Senior Member, IEEE, Meina Kan, Member, IEEE,
-Shiguang Shan, Senior Member, IEEE, and Xilin Chen, Fellow, IEEE
-i.e.,"

 e3bbdd6efc906f6ae17e5b1d62497420991b977d,Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects,"Visual Explanation by High-Level Abduction
 On Answer-Set Programming Driven Reasoning about Moving Objects
 Jakob Suchan1, Mehul Bhatt1,2, Przemysław Wał˛ega3, and Carl Schultz4
@@ -63451,19 +53570,6 @@ Germany"
 e3c420b29b8590442decd330ef70494c2209f149,Learning a Part-Based Pedestrian Detector in a Virtual World,"Learning a Part-based Pedestrian Detector in Virtual
 World
 Jiaolong Xu, David V´azquez, Antonio M. L´opez Member, IEEE, Javier Mar´ın and Daniel Ponsa"

-e3f0c5a51d6c5085fbcb64d872d7db438da27474,Ubiquitously Supervised Subspace Learning,"Ubiquitously Supervised Subspace Learning
-Jianchao Yang, Student Member, IEEE, Shuicheng Yan, Member, IEEE, and Thomas S. Huang, Life Fellow, IEEE"

-e3b40ffd57a676aef377ef463849fd6b9a3d3b5d,Morphable hundred-core heterogeneous architecture for energy-aware computation,"Received on 16th April 2014
-Revised on 23rd June 2014
-Accepted on 7th August 2014
-doi: 10.1049/iet-cdt.2014.0078
-www.ietdl.org
-ISSN 1751-8601
-Morphable hundred-core heterogeneous architecture
-for energy-aware computation
-Nuno Neves, Henrique Mendes, Ricardo Jorge Chaves, Pedro Tomás, Nuno Roma
-INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Rua Alves Redol, 9, 1000-029 Lisboa, Portugal
-E-mail:"

 e33b1833b2d0cd7b0450b22b96a567a59c9e4685,Attribute Discovery via Predictable Discriminative Binary Codes,"Attribute Discovery via
 Predictable Discriminative Binary Codes
 Mohammad Rastegari†
@@ -63484,15 +53590,6 @@ Engineering Sciences
 on 3rd Sept 2014"

 e3e44385a71a52fd483c58eb3cdf8d03960c0b70,A Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video,"Copyright
 Sangho Park"

-e31f24b92a19aeb9a7611a9ca09223c8f5238ae1,Expression Empowered ResiDen Network for Facial Action Unit Detection,"RESIDEN: RESIDUE FLOW IN DENSENET
-Expression Empowered ResiDen Network
-for Facial Action Unit Detection
-Shreyank Jyoti
-Abhinav Dhall
-Learning Affect and Semantic Image
-nalysIs (LASII) Group,
-Indian Institute of Technology Ropar
-Punjab, India"

 e3c5c5623af4b1a1f719cac24850dcaa6a304bd5,Training Effective Node Classifiers for Cascade Classification,"ppearing in Int. J. Comput. Vis.; content may change prior to final publication.
 Training Effective Node Classifiers for Cascade
 Classification
@@ -63512,10 +53609,6 @@ Bo Sun, Siming Cao, Jun He, Lejun Yu, Liandong Li, “Automatic temporal segment
 detection via bilateral long short-term memory recurrent neural networks,” J.
 Electron. Imaging 26(2), 020501 (2017), doi: 10.1117/1.JEI.26.2.020501.
 Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 03/03/2017 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx"

-e3f6108163b64ca4aa94d9be77c753b377fcda87,USING COMPETITIVE PROTOTYPES FOR THE VERIFICATION ON UNSPECIFIC PERSON,"State Key Lab of Intelligent Technology and Systems, Tsinghua Univ., Beijing, China
-ON UNSPECIFIC PERSON
-Qiong Yang,   Xiaoqing Ding
-USING COMPETITIVE PROTOTYPES FOR THE VERIFICATION"

 e3b0caa1ff9067665e349a2480b057e2afdbc41f,Interactive Effects of Obvious and Ambiguous Social Categories on Perceptions of Leadership: When Double-Minority Status May Be Beneficial.,"702373 PSPXXX10.1177/0146167217702373Personality and Social Psychology BulletinWilson et al.
 research-article2017
 Article
@@ -63565,19 +53658,6 @@ Toshiba RDC, Kawasaki, Japan,
 http://clementcreusot.com/pedestrian"

 e3f2e337d4470545398cc6753a54c21debf9c37b,Potential Contrast – A New Image Quality Measure,"Potential Contrast – A New Image Quality Measure
 Arie Shaus, Shira Faigenbaum-Golovin, Barak Sober, Eli Turkel, Eli Piasetzky; Tel Aviv University; Tel Aviv, Israel"

-e30b14ad7341a596768bd67f854d1ed4ede2abc8,A Principal Component Analysis Method for Recognition of Human Faces : Eigenfaces Approach,"International Journal of Electronics Communication and Computer Technology (IJECCT)
-Volume 2 Issue 3 (May 2012)
-A Principal Component Analysis Method for
-Recognition of Human Faces: Eigenfaces Approach
-Shemi P M
-Department of Electronics,
-M E S College, Marampally, Aluva,
-Ernakulam, India
-Ali M A
-Department of MCA,
-Government Engineering College,
-Thrissur, India
-is  very  much"

 32103c021e4d52f9915c3236669de5da973fb13f,Affective Image Content Analysis: A Comprehensive Survey,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

 323cd51bc18c700fa88044dd24ae663a7eabaa68,Utilizing student activity patterns to predict performance,"Casey and Azcona International Journal of Educational Technology
 in Higher Education  (2017) 14:4
@@ -63612,11 +53692,6 @@ Full Terms & Conditions of access and use can be found at
 http://www.tandfonline.com/action/journalInformation?journalCode=tgis20
 Download by: [UC Santa Barbara Library]
 Date: 09 January 2017, At: 09:44"

-320e2c950d5b31cb371208a6b752a94585ac6665,Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning,"Context-Patch Face Hallucination Based on
-Thresholding Locality-constrained Representation
-nd Reproducing Learning
-Junjun Jiang, Member, IEEE, Yi Yu, Suhua Tang, Member, IEEE, Jiayi Ma, Member, IEEE, Akiko Aizawa, and
-Kiyoharu Aizawa, Fellow, IEEE"

 324cf94743359df3ada2f86ee8cd3bb6dccae695,FERA 2015-Second Facial Expression Recognition and Analysis Challenge,"FG 2015
 FG 2015 Submission. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 FG 2015
@@ -63717,11 +53792,6 @@ CVPR 2008 Submission #2670. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE.
 Multi-Image Graph Cut Clothing Segmentation for Recognizing People
 Anonymous CVPR submission
 Paper ID 2670"

-32420c65f8ef0c5bd83b14c8ae662cbce73e6781,Face Recognition with Local Binary Patterns,"Face Recognition with Local Binary Patterns
-Timo Ahonen, Abdenour Hadid, and Matti Pietik¨ainen
-Machine Vision Group, Infotech Oulu
-PO Box 4500, FIN-90014 University of Oulu, Finland,
-http://www.ee.oulu.fi/mvg/"

 32b9be86de4f82c5a43da2a1a0a892515da8910d,Robust False Positive Detection for Real-Time Multi-target Tracking,"Robust False Positive Detection for Real-Time
 Multi-Target Tracking
 Henrik Brauer, Christos Grecos, and Kai von Luck
@@ -63738,35 +53808,6 @@ ETH Zurich"
 322ff387087134ac776a4270cd55e7f3334edeb2,"Image Features Detection , Description and Matching","Image Features Detection, Description
 nd Matching
 M. Hassaballah, Aly Amin Abdelmgeid and Hammam A. Alshazly"

-32732095eae3a33614cd6cef2a82e6189f5a28a9,Locally linear representation for subspace learning and clustering,"Locally linear representation for subspace
-learning and clustering
-Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng
-It is a key to construct a similarity graph in graph-oriented subspace
-learning and clustering. In a similarity graph, each vertex denotes
-data point and the edge weight represents the similarity between
-two points. There are two popular schemes to construct a similarity
-graph, i.e., pairwise distance based scheme and linear representation
-ased scheme. Most existing works have only involved one of the
-bove schemes and suffered from some limitations. Specifically, pairwise
-distance based methods are sensitive to the noises and outliers compared
-with linear representation based methods. On the other hand,
-there
-is the possibility that linear representation based algorithms wrongly
-select inter-subspaces points to represent a point, which will degrade
-the performance. In this paper, we propose an algorithm, called Locally
-Linear Representation (LLR), which integrates pairwise distance with
-linear representation together to address the problems. The proposed
-lgorithm can automatically encode each data point over a set of points
-that not only could denote the objective point with less residual error, but"

-3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d,Deep Semantic Pyramids for Human Attributes and Action Recognition,"Deep Semantic Pyramids for Human Attributes
-nd Action Recognition
-Fahad Shahbaz Khan1(B), Rao Muhammad Anwer2, Joost van de Weijer3,
-Michael Felsberg1, and Jorma Laaksonen2
-Computer Vision Laboratory, Link¨oping University, Link¨oping, Sweden
-Department of Information and Computer Science,
-Aalto University School of Science, Aalto, Finland
-Computer Vision Center, CS Department, Universitat Autonoma de Barcelona,
-Barcelona, Spain"

 325c9f6f848407a22b86e3253cb7f29fac19e40c,Change Detection in Crowded Underwater Scenes - Via an Extended Gaussian Switch Model Combined with a Flux Tensor Pre-segmentation,"Change Detection in Crowded Underwater Scenes
 via an Extended Gaussian Switch Model combined with a Flux Tensor
 Pre-Segmentation
@@ -63809,46 +53850,6 @@ EMOTION RECOGNITION
 Xiang Xiang, Minh Dao, Gregory D. Hager, Trac D. Tran
 Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA
 {xxiang, minh.dao, ghager1,"

-3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,"[Kaphungkui, 2(3): March, 2013
-013]
-ISSN: 2277
-ISSN: 2277-9655
-IJESRT
-INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH
-INTERNATIONAL JOURNA
-ENCES & RESEARCH
-TECHNOLOGY
-Robust and Efficient Approach Based Face Recognition System Using Log Likely
-Robust and Efficient Approach Based Face Recognition System Using Log Likely
-Robust and Efficient Approach Based Face Recognition System Using Log Likely
-Hood Ratio
-V. Karthikeyan*1, V.J.Vijayalakshmi2
-V. Karthikeyan
-*1Department of ECE, SVSCE, J.P. Nagar, Arasampalayam,Coimbatore, Tamilnadu,
-Department of ECE, SVSCE, J.P. Nagar, Arasampalayam,Coimbatore, Tamilnadu,
-Department of ECE, SVSCE, J.P. Nagar, Arasampalayam,Coimbatore, Tamilnadu, India
-Department of EEE, SKCET, B.K Pudur Kovaipudur, Coimbatore, Tamilnadu, India
-Department of EEE, SKCET, B.K Pudur Kovaipudur, Coimbatore, Tamilnadu, India"

-324f39fb5673ec2296d90142cf9a909e595d82cf,Relationship Matrix Nonnegative Decomposition for Clustering,"Hindawi Publishing Corporation
-Mathematical Problems in Engineering
-Volume 2011, Article ID 864540, 15 pages
-doi:10.1155/2011/864540
-Research Article
-Relationship Matrix Nonnegative
-Decomposition for Clustering
-Ji-Yuan Pan and Jiang-She Zhang
-Faculty of Science and State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong
-University, Xi’an Shaanxi Province, Xi’an 710049, China
-Correspondence should be addressed to Ji-Yuan Pan,
-Received 18 January 2011; Revised 28 February 2011; Accepted 9 March 2011
-Academic Editor: Angelo Luongo
-Copyright q 2011 J.-Y. Pan and J.-S. Zhang. This is an open access article distributed under
-the Creative Commons Attribution License, which permits unrestricted use, distribution, and
-reproduction in any medium, provided the original work is properly cited.
-Nonnegative matrix factorization (cid:2)NMF(cid:3) is a popular tool for analyzing the latent structure of non-
-negative data. For a positive pairwise similarity matrix, symmetric NMF (cid:2)SNMF(cid:3) and weighted
-NMF (cid:2)WNMF(cid:3) can be used to cluster the data. However, both of them are not very ef‌f‌icient
-for the ill-structured pairwise similarity matrix. In this paper, a novel model, called relationship"

 326df1b94624b7958cff0f7e3d16e612ea9d7e4d,Similarity rank correlation for face recognition under unenrolled pose,"Similarity Rank Correlation for Face
 Recognition Under Unenrolled Pose
 Marco K. M¨uller, Alexander Heinrichs, Andreas H.J. Tewes,
@@ -63907,13 +53908,6 @@ School of Information and Communication Engineering, Inha University, Incheon, K
 localization at intersections
 supplemental material for “Vision-Based Localization at Intersections using Digital Maps”
 Augusto L. Ballardini, Daniele Cattaneo, and Domenico G. Sorrenti"

-329c06c00c627c0b041d330f3c0142a88b7cb1e5,Bayesian Sparsification of Gated Recurrent Neural Networks,"Bayesian Sparsification of Gated Recurrent Neural
-Networks
-Ekaterina Lobacheva1∗, Nadezhda Chirkova1∗, Dmitry Vetrov1,2
-Samsung-HSE Laboratory, National Research University Higher School of Economics
-Samsung AI Center
-Moscow, Russia
-{elobacheva, nchirkova,"

 322c063e97cd26f75191ae908f09a41c534eba90,Improving Image Classification Using Semantic Attributes,"Noname manuscript No.
 (will be inserted by the editor)
 Improving Image Classification using Semantic Attributes
@@ -63931,11 +53925,6 @@ Udo Frese, Tim Laue, Oliver Birbach, and Thomas R¨ofer
 Guest Editors: Till Mossakowski, Markus Roggenbach, Lutz Schr¨oder
 Managing Editors: Tiziana Margaria, Julia Padberg, Gabriele Taentzer
 ISSN 1863-2122"

-32c6086b1605698c8b775b6920741981e85b217d,Wearable Computing Designing and Sharing Activity-Recognition Systems Across Platforms,"IEEE RAM - SPECIAL ISSUE TOWARDS A WWW FOR ROBOTS
-Designing and sharing activity recognition systems
-cross platforms: methods from wearable computing
-Daniel Roggen, Member, IEEE, and St´ephane Magnenat, Member, IEEE, and Markus Waibel, Member, IEEE,
-nd Gerhard Tr¨oster, Senior Member, IEEE"

 32a6f6aa50ce2a631bf4de7432f830b29b6b05f2,Through the eyes of a child: preschoolers' identification of emotional expressions from the child affective facial expression (CAFE) set.,"Cognition and Emotion
 ISSN: 0269-9931 (Print) 1464-0600 (Online) Journal homepage: http://www.tandfonline.com/loi/pcem20
 Through the eyes of a child: preschoolers’
@@ -64034,10 +54023,6 @@ K´evin Huguenin
 UNIL–HEC Lausanne
 Italo Dacosta
 Jean-Pierre Hubaux"

-fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59,Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition,"Reading Hidden Emotions: Spontaneous
-Micro-expression Spotting and Recognition
-Xiaobai Li, Student Member, IEEE, Xiaopeng Hong, Member, IEEE, Antti Moilanen, Xiaohua Huang, Student
-Member, IEEE, Tomas Pfister, Guoying Zhao, Senior Member, IEEE, and Matti Pietik¨ainen, Fellow, IEEE"

 fbbccf0454c84bea1fd5c5a1dcd9fd7bba301a44,Face detection using gradient vector flow,"Proceedings of  the Second International Conference on Machine Learning and Cybernetics, Wan, 2-5 November 2003
 FACE DETECTION USING GRADIENT VECTOR FLOW
 MAYANK VATSA,  RICHA SINCH, P. GUPTA
@@ -64115,16 +54100,6 @@ teaching and research institutions in France or
 broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents"

-fbace36d9161fbd062eefa0c005362bb210c7097,VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition,"VPGNet: Vanishing Point Guided Network for Lane and Road Marking
-Detection and Recognition
-Junsik Kim†
-Jae Shin Yoon†
-Seokju Lee†
-Namil Kim† Tae-Hee Lee‡ Hyun Seok Hong‡ Seung-Hoon Han‡
-Robotics and Computer Vision Lab., KAIST
-Seunghak Shin† Oleksandr Bailo†
-In So Kweon†
-Samsung Electronics DMC R&D Center"

 fb82681ac5d3487bd8e52dbb3d1fa220eeac855e,"Summary of Research on Informant Accuracy in Network Data, 11 and on the Reverse Small World Problem","CONNECTIONS
 VOLUME IV, NUMBER 2
 Summer 1981
@@ -64160,9 +54135,6 @@ Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildo
 (R.A.N.); (N.Q.T.)
 * Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
 Received: 3 May 2018; Accepted: 22 May 2018; Published: 24 May 2018"

-fb732b15fd5235893228ad3249cf04e1809034c9,CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint,"Content-Based Video–Music Retrieval
-Using Soft Intra-Modal Structure Constraint
-Sungeun Hong, Student Member, IEEE, Woobin Im, and Hyun S. Yang, Member, IEEE"

 fbd169c0f700fcca26a74c79bb46c5ca2d37648a,FACIAL FEATURE BASED HEAD TRACKING AND POSE ESTIMATION,"FACIAL FEATURE BASED HEAD
 TRACKING AND POSE ESTIMATION
 Jari Hannuksela"

@@ -64453,10 +54425,6 @@ Esam A. S. Alzqhoul 1, 2, Balamurali B. T. Nair 1, 2, Bernard J. Guillemin 1, 2
 Mobile Phone Speech
 Forensic and Biometrics Research Group (FaB), The University of Auckland, New Zealand
 Department of Electrical and Computer Engineering, The University of Auckland, New Zealand"

-9fd5ecc538a9344814dc00b92beb45c54d5dff3e,NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes,"NIC: A Robust Background Extraction Algorithm
-for Foreground Detection in Dynamic Scenes
-Thien Huynh-The, Student Member, IEEE, Oresti Banos, Member, IEEE, Sungyoung Lee, Member, IEEE,
-Byeong Ho Kang, Eun-Soo Kim, and Thuong Le-Tien, Member, IEEE"

 4f051022de100241e5a4ba8a7514db9167eabf6e,Face Parsing via a Fully-Convolutional Continuous CRF Neural Network,"Face Parsing via a Fully-Convolutional Continuous
 CRF Neural Network
 Lei Zhou, Zhi Liu, Senior Member, IEEE, Xiangjian He, Senior Member, IEEE"

@@ -64608,19 +54576,6 @@ Gwalior"
 4f0aedbd0b5cb5939449da41579c93b98048fcdc,Robust classification using structured sparse representation,"Robust Classification using Structured Sparse Representation
 Center for Imaging Science, Johns Hopkins University, Baltimore MD 21218, USA
 Ehsan Elhamifar Ren´e Vidal"

-4fdbe95edb967bfc0b44f0fa291cd86b178fca2e,"Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation","Competitive Collaboration: Joint Unsupervised
-Learning of Depth, Camera Motion, Optical
-Flow and Motion Segmentation
-Anurag Ranjan1
-Varun Jampani2
-Kihwan Kim 2
-Deqing Sun 2
-Jonas Wulff 1
-Michael J. Black1
-Max Planck Institute for Intelligent Systems
-NVIDIA Research
-{aranjan, jwulff,
-{vjampani, kihwank,"

 4f10b81f822091ce2142e33f0578940da1e25ad3,"Indoor Mobile Robotics at Grima, PUC","Noname manuscript No.
 (will be inserted by the editor)
 Indoor Mobile Robotics at Grima, PUC
@@ -64794,10 +54749,6 @@ nd speechreading systems in natural conditions
 Philippe Daubias, Paul Del´eglise
 Laboratoire d’Informatique de l’Universit´e du Maine
 Le Mans, France"

-9ef73533507b46278d0d27c41e16af2b8ecf23ef,A comparative assessment of appearance based feature extraction techniques and their susceptibility to image degradations in face recognition systems,"A comparative assessment of appearance based
-feature extraction techniques and their susceptibility
-to image degradations in face recognition systems
-Vitomir ˇStruc and Nikola Paveˇsi´c, Member, IEEE"

 9ed3e04586f311b1e2b5ded9c9c4bfeeecf27f0c,Understanding rapid category detection via multiply degraded images.,"http://journalofvision.org/9/6/19/
 Understanding rapid category detection via multiply
 degraded images
@@ -64899,12 +54850,6 @@ Waghmare Supriya, Wavhal Archana, Patil Nital, Tapkir Yogita, Prof. Yogesh Thora
 9e0285debd4b0ba7769b389181bd3e0fd7a02af6,From Face Images and Attributes to Attributes,"From face images and attributes to attributes
 Robert Torfason, Eirikur Agustsson, Rasmus Rothe, Radu Timofte
 Computer Vision Laboratory, ETH Zurich, Switzerland"

-9e6ecc12794f1d3215f93376a32b350a0492ceb0,Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores,"Modeling and Predicting Face
-Recognition System Performance
-Based on Analysis of Similarity Scores
-Peng Wang, Member, IEEE,
-Qiang Ji, Sr. Member, IEEE, and
-James L. Wayman, Sr. Member, IEEE"

 9e4b052844d154c3431120ec27e78813b637b4fc,Local gradient pattern-A novel feature representation for facial expression recognition,"Journal of AI and Data Mining
 Vol. 2, No .1, 2014, 33-38.
 Local gradient pattern - A novel feature representation for facial
@@ -65014,36 +54959,6 @@ https://doi.org/10.1109/JSSC.2017.2648820"
 7608953ef5c7a882bd2e7e7053a600e543748233,Robust 3D Face Recognition by Local Shape Difference Boosting,"Robust 3D Face Recognition
 y Local Shape Difference Boosting
 Yueming Wang, Jianzhuang Liu, Senior Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

-766728bac030b169fcbc2fbafe24c6e22a58ef3c,A survey of deep facial landmark detection,"A survey of deep facial landmark detection
-Yongzhe Yan1,2
-Xavier Naturel2
-Christophe Garcia3
-Thierry Chateau1
-Christophe Blanc1
-Stefan Duffner3
-Université Clermont Auvergne, France
-Wisimage, France
-Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France
-Résumé
-La détection de landmarks joue un rôle crucial dans de
-nombreuses applications d’analyse du visage comme la
-reconnaissance de l’identité, des expressions, l’animation
-d’avatar, la reconstruction 3D du visage, ainsi que pour
-les applications de réalité augmentée comme la pose de
-masque ou de maquillage virtuel. L’avènement de l’ap-
-prentissage profond a permis des progrès très importants
-dans ce domaine, y compris sur les corpus non contraints
-(in-the-wild). Nous présentons ici un état de l’art cen-"

-765f01e10ef2df381ad8173d90763d218f4da9e1,A Novel Mechanism of Face Recognition Using Stepwise Linear Discriminant Analysis and Linear Vector Quantization Classifiers,"International Journals of Advanced Research in
-Computer Science and Software Engineering
-ISSN: 2277-128X (Volume-7, Issue-7)
-Research  Article
-A Novel Mechanism of Face Recognition Using Stepwise Linear
-Discriminant Analysis and Linear Vector Quantization Classifiers
-Department of computer Engineering, Yogananda College of Engineering and Technology,
-Abdul Quyoom
-Patoli, Jammu, India
-DOI: 10.23956/ijarcsse/V7I6/0302"

 76bfa74a6311db5d84bad2a7a941f30dd750d01c,Evidence That Emotion Mediates Social Attention in Rhesus Macaques,"Evidence That Emotion Mediates Social Attention in
 Rhesus Macaques
 Emily J. Bethell1*, Amanda Holmes2, Ann MacLarnon1, Stuart Semple1
@@ -65076,11 +54991,6 @@ geboren op 3 september 1978 te Stafsinge, Zweden"
 76cb2ecc96f02b1d8a7a0d1681fbb55367a4b765,Learning Object States from Videos,"Learning Object States from Videos
 Liang-Kang Huang
 Katerina Fragkiadaki"

-765b2cb322646c52e20417c3b44b81f89860ff71,PoseShop: Human Image Database Construction and Personalized Content Synthesis,"PoseShop: Human Image Database
-Construction and Personalized
-Content Synthesis
-Tao Chen, Ping Tan, Member, IEEE, Li-Qian Ma, Ming-Ming Cheng, Member, IEEE,
-Ariel Shamir, and Shi-Min Hu, Member, IEEE"

 768cb0e32de3f1b5aebe04448aaec4c25586680c,Boosting Image Captioning with Attributes,"Under review as a conference paper at ICLR 2017
 BOOSTING IMAGE CAPTIONING WITH ATTRIBUTES
 Ting Yao, Yingwei Pan, Yehao Li, Zhaofan Qiu, Tao Mei
@@ -65191,10 +55101,6 @@ ESTIMATION
 AISHWARYA.S1 , RATHNAPRIYA.K1, SUKANYA SARGUNAR.V2
 U. G STUDENTS, DEPT OF CSE, ALPHA COLLEGE OF ENGINEERING, CHENNAI,
 ASST PROF.DEPARTMENT OF CSE, ALPHA COLLEGE OF ENGINEERING, CHENNAI"

-76673de6d81bedd6b6be68953858c5f1aa467e61,Discovering a Lexicon of Parts and Attributes,"Discovering a Lexicon of Parts and Attributes
-Subhransu Maji
-Toyota Technological Institute at Chicago,
-Chicago, IL 60637, USA"

 76f3450e50c20fca00dd6319df38503c5d7ebad0,Sujet de la thèse : Alignement élastique d ’ images pour la reconnaissance d ’ objet — Non-rigid image alignment for object recognition,"THÈSEDEDOCTORATprésentéeparOLIVIERDUCHENNEpourobtenirlegradedeDOCTEURDEL’ÉCOLENORMALESUPÉRIEUREDomaine:MATHÉMATIQUESAPPLIQUÉESSujetdelathèse:Alignementélastiqued’imagespourlareconnaissanced’objet—Non-rigidimagealignmentforobjectrecognitionThèseprésentéeetsoutenueàl’ENSUlmle29Novembre2012devantlejurycomposéde:JeanPonceProfesseur,DirecteurduDI,ENSUlmDirecteurdethèsePedroFelzenszwalbProfesseur,BrownUniversityRapporteurMartialHebertProfesseur,CarnegieMellonUniversityRapporteurFrancisBachDirecteurderecherche,ENSUlmÉxaminateurJitendraMalikProfesseur,UniversityofBerkeleyÉxaminateurCordeliaSchmidProfesseur,INPGrenobleÉxaminateurAndrewZissermanProfesseur,UniversityofOxfordÉxaminateurThèsepréparéeauseindel’équipeWILLOWdudépartementd’informatiquedel’ÉcoleNormaleSupérieure,Ulm.(INRIA/ENS/CNRSUMR8548)."

 7638cb16631fbcdf621aaf392fec5108e6fa9f47,On Nonrigid Shape Similarity and Correspondence,"Alon Shtern and Ron Kimmel
 November 25, 2013
@@ -65338,14 +55244,6 @@ Kevin H. Wilson
 Government of the
 District of Columbia
 Washington, D.C. 20004"

-06c333fc146d0a87f591c82a1f22925ccef378b1,Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights,"Emotional Cues during Simultaneous Face and Voice
-Processing: Electrophysiological Insights
-Taosheng Liu1,2, Ana Pinheiro2,3, Zhongxin Zhao4*, Paul G. Nestor2,5, Robert W. McCarley2, Margaret A.
-Niznikiewicz2*
-Department of Psychology, Second Military Medical University, Shanghai, China, 2 Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry,
-Boston VA Healthcare System, Brockton Division and Harvard Medical School, Brockton, Massachusetts, United States of America, 3 Neuropsychophysiology Laboratory,
-CiPsi, School of Psychology, University of Minho, Braga, Portugal, 4 Department of Neurology, Neuroscience Research Center of Changzheng Hospital, Second Military
-Medical University, Shanghai, China, 5 University of Massachusetts, Boston, Massachusetts, United States of America"

 06cfc431b70ec6a6783284953a668984600e77e2,A Framework for Human Pose Estimation in Videos,"A Framework for Human Pose Estimation in
 Videos
 Dong Zhang and Mubarak Shah"

@@ -65361,15 +55259,6 @@ saliency from pairwise image comparisons
 Michael Burke1"

 069ebb57ccca31ab68983e07044e65ce1a04174f,4D facial expression recognition,"011 IEEE International Conference on Computer Vision Workshops
 978-1-4673-0063-6/11/$26.00 c(cid:13)2011 IEEE"

-064aaad2a9ac5044b333714e61955631faee87fd,Face Recognition using Radial Curves and Back Propagation Neural Network for frontal faces under various challenges,"International Journal of Computer Applications (0975 – 8887)
-International Conference on Advances in Science and Technology 2015 (ICAST 2015)
-Face Recognition using Radial Curves and Back
-Propagation Neural Network for frontal faces under
-various challenges
-Latasha Keshwani
-Electronics and Telecommunication Department
-Datta Meghe College of Engineering, Airoli, Mumbai
-University, (MS), India"

 06da0e4ae21835f0d33cfbf66c8b73b58625c57b,Facial Keypoints Detection,"Facial Keypoints Detection
 Shenghao Shi"

 06cb0939ed5fb2b3398d54a7fcdb865fe53f414a,Bag-of-Words Image Representation: Key Ideas and Further Insight,"Chapter 2
@@ -65379,15 +55268,6 @@ Marc T. Law, Nicolas Thome and Matthieu Cord"
 06262d6beeccf2784e4e36a995d5ee2ff73c8d11,Recognize Actions by Disentangling Components of Dynamics,"Recognize Actions by Disentangling Components of Dynamics
 Yue Zhao1, Yuanjun Xiong1,2, and Dahua Lin1
 CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong 2Amazon Rekognition"

-06560d5721ecc487a4d70905a485e22c9542a522,Deep Facial Attribute Detection in the Wild: From General to Specific,"SUN, YU: DEEP FACIAL ATTRIBUTE DETECTION IN THE WILD
-Deep Facial Attribute Detection in the Wild:
-From General to Specific
-Yuechuan Sun
-Jun Yu
-Department of Automation
-University of Science and Technology
-of China
-Hefei, China"

 0602e312a532f9af85cfd0190a2f69f07f44b4fe,The influence of self and similarity on immediate affective impressions of people Ruys,"UvA-DARE (Digital Academic Repository)
 The influence of self and similarity on immediate affective impressions of people
 Ruys, K.I.
@@ -65414,13 +55294,6 @@ Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen
 Google Inc."

 061acf48912fe058ba7084dbbdbddc407f01263b,Detection and Orientation Estimation for Cyclists by Max Pooled Features,"Detection and Orientation Estimation for Cyclists
 y Max Pooled Features"

-067e2b673e75a25c47cb0a5528dad41c02402251,Interactive Retrieval in Facial Image Database Using Self-Organizing Maps,"Interactive Retrieval in Facial Image Database
-Using Self-Organizing Maps
-Zhirong Yang and Jorma Laaksonen
-Laboratory of Computer and Information Science
-Helsinki University of Technology
-P.O. Box 5400, FI-02015 HUT, Espoo, Finland
-{zhirong.yang,"

 068a7c7849cb6480def2e124ac5a45564e094b2a,Multi-Scale Learning for Low-Resolution Person Re-Identification,"Multi-scale learning for low-resolution person re-identification
 Li, X; Zheng, WS; Wang, X; Xiang, T; Gong, S
 © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be
@@ -65442,13 +55315,6 @@ on Asymmetric Multi-Cores
 Anuj Pathania, Santiago Pagani, Muhammad Shafique, J¨org Henkel
 Chair for Embedded Systems (CES), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
 Corresponding Author:"

-06aab105d55c88bd2baa058dc51fa54580746424,Image Set-Based Collaborative Representation for Face Recognition,"Image Set based Collaborative Representation for
-Face Recognition
-Pengfei Zhu, Student Member, IEEE, Wangmeng Zuo, Member, IEEE, Lei Zhang, Member, IEEE, Simon C.K. Shiu,
-Member, IEEE, David Zhang, Fellow, IEEE"

-06a23ffbd9752ce204197df59812b2ebd1a097ff,Feedforward semantic segmentation with zoom-out features,"Feedforward semantic segmentation with zoom-out features
-Mohammadreza Mostajabi, Payman Yadollahpour and Gregory Shakhnarovich
-Toyota Technological Institute at Chicago"

 066000d44d6691d27202896691f08b27117918b9,Vision-Based Analysis of Small Groups in Pedestrian Crowds,"Vision-based Analysis of Small Groups in
 Pedestrian Crowds
 Weina Ge, Robert T. Collins, Senior Member, IEEE, and R. Barry Ruback
@@ -65479,9 +55345,6 @@ Grégoire Mesnil · Antoine Bordes · Jason Weston ·
 Gal Chechik · Yoshua Bengio
 Received: 24 May 2012 / Accepted: 26 February 2013
 © The Author(s) 2013"

-06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f,Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition,"Fusing Local Patterns of Gabor Magnitude
-nd Phase for Face Recognition
-Shufu Xie, Shiguang Shan, Member, IEEE, Xilin Chen, Senior Member, IEEE, and Jie Chen, Member, IEEE"

 060820f110a72cbf02c14a6d1085bd6e1d994f6a,Fine-grained classification of pedestrians in video: Benchmark and state of the art,"Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art
 David Hall and Pietro Perona
 California Institute of Technology.
@@ -65547,13 +55410,6 @@ Faculty of Computing and
 Information Technology King
 Abdulaziz University
 Lamiaa F. Ibrahim"

-06e9149b7ef8bff3a4b5a18fe01da9a522f91891,SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TMM.2016.2601020, IEEE
-Transactions on Multimedia
-SRLSP: A Face Image Super-Resolution Algorithm
-Using Smooth Regression with Local Structure Prior
-Junjun Jiang, Member, IEEE, Chen Chen, Jiayi Ma, Member, IEEE, Zheng Wang, Zhongyuan
-Wang, Member, IEEE, and Ruimin Hu, Senior Member, IEEE
-traditional"

 06e15d0d6f92a11bb5b46b5a3e0250cccc452c92,Diagnostic Features of Emotional Expressions Are Processed Preferentially,"Diagnostic Features of Emotional Expressions Are
 Processed Preferentially
 Elisa Scheller1, Christian Bu¨ chel2, Matthias Gamer2*
@@ -65646,13 +55502,6 @@ Computer Vision Center, Universitat Autonoma de Barcelona. Edifici O, Campus UA
 Barcelona, Spain. E-mail:"

 06f251cceff93dac123e8568773295f2d0d702da,Player Tracking and Analysis of Basketball Plays,"Player Tracking and Analysis of Basketball Plays
 Evan Cheshire, Cibele Halasz, and Jose Krause Perin"

-06d4379308d2716a866fc2ca583e4f2a33fa9f4c,WBMMSC: Supervised Classification Procedure of Textures Image Extraction,"International Journal of Computer Trends and Technology (IJCTT) – Volume 47 Number 2 - May 2017
-WBMMSC: Supervised Classification
-Procedure of Textures Image Extraction
-Dr. Pratik Gite1, Udit Gupta2, Aditya Acharya3
-Assistant Professor (IES IPS, Indore)1
-Student (IES IPS, Indore), 5/1 Holani Sadan, Mahesh Nagar, Indore, (MP), India2
-Student (IES IPS, Indore), 191 MIG, Meghdoot Nagar, Mandsaur, (MP), India3"

 06928aef986877d04e9ce642a3ac71b6f061c638,Monocular Simultaneous Localisation and Mapping for Road Vehicles,"Monocular Simultaneous Localisation
 nd Mapping for Road Vehicles
 Master’s thesis in Systems, Control and Mechatronics
@@ -65823,10 +55672,6 @@ Erjin Zhou
 Megvii Inc.
 Zhimin Cao
 Megvii Inc."

-4b0111182ace7443f060a64754ca23b2fc7e1d77,Face Recognition by Super-Resolved 3D Models From Consumer Depth Cameras,"Face Recognition by Super-Resolved 3D Models
-From Consumer Depth Cameras
-Stefano Berretti, Pietro Pala, Senior Member, IEEE, and Alberto del Bimbo, Member, IEEE
-the impact of"

 4b9b39bbdac95e24773789f1bb543149116cdc37,Region-Of-Interest Retrieval in Brain MR Images,"Technical Note PR-TN 2008/00905
 Issued: 12/2008
 Region-Of-Interest Retrieval in Brain MR
@@ -65844,11 +55689,6 @@ Plzeˇn, Czech Republic
 NTIS - New Technologies for the Information Society
 University of West Bohemia
 Plzeˇn, Czech Republic"

-4b8762d7637868b6ba0c97c95b2d4949d103ecdc,The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition,"The OU-ISIR Gait Database Comprising the Large
-Population Dataset and Performance Evaluation of
-Gait Recognition
-Haruyuki Iwama, Mayu Okumura, Yasushi Makihara, and Yasushi Yagi, Member, IEEE
-the world’s"

 4be03fd3a76b07125cd39777a6875ee59d9889bd,Content-based analysis for accessing audiovisual archives: Alternatives for concept-based indexing and search,"CONTENT-BASED ANALYSIS FOR ACCESSING AUDIOVISUAL ARCHIVES:
 ALTERNATIVES FOR CONCEPT-BASED INDEXING AND SEARCH
 Tinne Tuytelaars
@@ -65895,23 +55735,6 @@ Cristianne R. S. Dutra, Matheus Castro Rocha, and William Robson Schwartz
 Department of Computer Science, Universidade Federal de Minas Gerais
 Belo Horizonte, Minas Gerais, Brazil, 31270-901
 rocha"

-4b48e912a17c79ac95d6a60afed8238c9ab9e553,Minimum Margin Loss for Deep Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Minimum Margin Loss for Deep Face Recognition
-Xin Wei, Student Member, IEEE, Hui Wang, Member, IEEE, Bryan Scotney, and Huan Wan"

-4bfe7037b2d92215aeb5e116988ade7e6733a6b9,Frontal contributions to face processing differences in autism: evidence from fMRI of inverted face processing.,"Journal of the International Neuropsychological Society (2008), 14, 922–932.
-Copyright © 2008 INS. Published by Cambridge University Press. Printed in the USA.
-doi:10.10170S135561770808140X
-SYMPOSIUM
-Frontal contributions to face processing differences
-in autism: Evidence from fMRI of inverted
-face processing
-SUSAN Y. BOOKHEIMER,1,2 A. TING WANG,3 ASHLEY SCOTT,1 MARIAN SIGMAN,1,2
-nd MIRELLA DAPRETTO 1
-Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles,
-Los Angeles, California
-Department of Psychology, University of California Los Angeles, Los Angeles, California
-Department of Psychiatry, Mount Sinai School of Medicine, New York, New York
-(Received January 8, 2008; Final Revision August 9, 2008; Accepted August 11, 2008)"

 4b04247c7f22410681b6aab053d9655cf7f3f888,Robust Face Recognition by Constrained Part-based Alignment,"Robust Face Recognition by Constrained Part-based
 Alignment
 Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma"

@@ -65939,14 +55762,6 @@ Institution1 address"
 Learning in Remote Sensing Imagery
 Gencer Sumbul, Ramazan Gokberk Cinbis, and Selim Aksoy, Senior Member, IEEE
 learning (ZSL)"

-4b1fc77a54e9daece9f11ec881a2ec40919337b7,Fusion of LBP and HOG using multiple kernel learning for infrared face recognition,"Fusion of LBP and HOG Using Multiple Kernel
-Learning for Infrared Face Recognition
-Zhihua Xie, Peng Jiang, Shuai Zhang
-Key Lab of Optic-Electronic and Communication
-Jiangxi Sciences and Technology Normal University
-Nanchang, Jiangxi Province, China
-limitation
-(LBP)  has"

 4b4a174f46ce03caf1ffa4addd074aaa70539f35,BlazeIt: Fast Exploratory Video Queries using Neural Networks.,"Fast Exploratory Video Queries using Neural Networks
 BlazeIt:
 Daniel Kang, Peter Bailis, Matei Zaharia
@@ -66007,13 +55822,6 @@ Martin Antenreiter, Ronald Ortner, and Peter Auer
 University of Leoben, A-8700 Leoben, Austria"

 4b0893bf71e4e13529cefb286c78b166a9491552,Estimating orientation in tracking individuals of flying swarms,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE
 ICASSP 2016"

-4b0081d655e1a4df8988908045780938f1c18630,Human Identification Using Gait,"Turk J Elec Engin, VOL.14, NO.2 2006, c(cid:13) T ¨UB_ITAK
-Human Identi(cid:12)cation Using Gait
-Dept. of Computer Engineering
-Karadeniz Technical University, Trabzon, TURKEY
-Murat EK_INC_I
-Computer Vision Lab.
-e-mail:"

 4b1cdb96a39cf23139a21915ba9e3e0692de8563,Bridging the Gap Between Computational Photography and Visual Recognition,"Bridging the Gap Between Computational
 Photography and Visual Recognition
 Rosaura G. VidalMata*, Sreya Banerjee*, Brandon RichardWebster, Michael Albright, Pedro Davalos,
@@ -66035,15 +55843,6 @@ Xuhong LI 1 Yves GRANDVALET 1 Franck DAVOINE 1"
 Junting Pan and Xavier Gir´o-i-Nieto
 Universitat Politecnica de Catalunya (UPC)
 Barcelona, Catalonia/Spain"

-4b5158bdc12b3704fdd5d199f83ace8505be2945,Histograms of Gabor Ordinal Measures for face representation and recognition,"Histograms of Gabor Ordinal Measures for
-Face Representation and Recognition
-National Laboratory of Pattern Recognition, Institute of Automation,
-Chinese Academy of Science, P.O. Box 2728, Beijing, 100080, P.R. China
-Zhenhua Chai, Ran He, Zhenan Sun, Tieniu Tan
-Center for Biometrics and Security Research
-Heydi M´endez-V´azquez
-Advanced Technologies Application Center, CENATAV.
-7a # 21812 b/ 218 and 222, Playa, P.C. 12200, Havana, Cuba"

 4ba503d8f173880d8e8402808f54b78b653e5d20,Accelerating Stochastic Gradient Descent via Online Learning to Sample,"Accelerating Stochastic Gradient Descent via Online
 Learning to Sample
 Guillaume Bouchard
@@ -66150,10 +55949,6 @@ The content must not be changed in any way or sold commercially in any format or
 medium without the formal permission of the author.
 When referring to this work, full bibliographic details including the author, title,
 warding institution and date of the thesis must be given."

-8160b3b5f07deaa104769a2abb7017e9c031f1c1,Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification,"Exploiting Discriminant Information in Nonnegative
-Matrix Factorization With Application
-to Frontal Face Verification
-Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, Ioan Buciu, and Ioannis Pitas, Senior Member, IEEE"

 810eafc9e854ea9b1d7a9e9f755f8102310d5db6,Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries,"Dynamic Multimodal Instance Segmentation
 Guided by Natural Language Queries
 Edgar Margffoy-Tuay, Juan C. P´erez, Emilio Botero, and Pablo Arbel´aez
@@ -66170,26 +55965,8 @@ Neural Networks
 Bachelor's thesis (6 ECST)
 Supervisor: Tambet Matiisen
 Tartu 2016"

-81ede08b36f3abd423424804da8ff240606b3a5d,Top-Down Deep Appearance Attention for Action Recognition,"Top-Down Deep Appearance Attention for
-Action Recognition
-Rao Muhammad Anwer1, Fahad Shahbaz Khan2, Joost van de Weijer3, Jorma
-Laaksonen1
-Department of Computer Science, Aalto University School of Science, Finland
-Computer Vision Laboratory, Link¨oping University, Sweden
-Computer Vision Center, CS Dept. Universitat Autonoma de Barcelona, Spain"

-81eecb00eeadb5fe36cd840b687439bfdca7ff30,Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
-Kernelized Saliency-based Person Re-Identification
-through Multiple Metric Learning
-Niki Martinel* Student Member, IEEE, Christian Micheloni, Member, IEEE, and Gian Luca Foresti, Senior
-Member, IEEE"

 81a142c751bf0b23315fb6717bc467aa4fdfbc92,Pairwise Trajectory Representation for Action Recognition,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"

-813e9f76fb9e3f007f0bc819eab66b0b5fbd8204,Towards Building Large Scale Multimodal Domain-Aware Conversation Systems,"Towards Building Large Scale Multimodal Domain-Aware Conversation Systems
-Amrita Saha1,2
-Mitesh M. Khapra2
-Karthik Sankaranarayanan1
-IBM Research AI
-I.I.T. Madras, India"

 81b337f2006cd6c8d5fd148a56cab3e5a662d40d,Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings,"Improving Data Association by Joint Modeling
 of Pedestrian Trajectories and Groupings
 Stefano Pellegrini 1, Andreas Ess 1, and Luc Van Gool 1,2
@@ -66226,12 +56003,6 @@ College of Computers and Information Systems, Umm Al-Qura University, Makkah, KS
 Visual Affordance and Function Understanding:
 A Survey
 Mohammed Hassanin, Salman Khan, Murat Tahtali"

-819a321975c736e006870e76446d581e195cad2e,Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Deep Canonical Time Warping
-for simultaneous alignment and representation
-learning of sequences
-George Trigeorgis, Mihalis A. Nicolaou, Member, IEEE, Bj¨orn W. Schuller, Senior member, IEEE
-Stefanos Zafeiriou, Member, IEEE"

 81cb69e401b3b51e49ec378dba4bc0c8e33448e1,Applying Domain Randomization to Synthetic Data for Object Category Detection,"Applying Domain Randomization to Synthetic
 Data for Object Category Detection
 Jo˜ao Borrego(cid:63), Atabak Dehban(cid:63), Rui Figueiredo, Plinio Moreno, Alexandre
@@ -66286,9 +56057,6 @@ MultiQ: single sensor-based multi-quality
 multi-modal large-scale biometric score
 database and its performance evaluation
 Md. Zasim Uddin*, Daigo Muramatsu, Takuhiro Kimura, Yasushi Makihara and Yasushi Yagi"

-8147ee02ec5ff3a585dddcd000974896cb2edc53,Angular Embedding: A Robust Quadratic Criterion,"Angular Embedding:
-A Robust Quadratic Criterion
-Stella X. Yu, Member,"

 812d3f6975f4cb87e9905ef18696c5c779227634,A novel comparative deep learning framework for facial age estimation,"Abousaleh et al. EURASIP Journal on Image and Video
 Processing  (2016) 2016:47
 DOI 10.1186/s13640-016-0151-4
@@ -66324,16 +56092,6 @@ Dushyant Mehta*, Helge Rhodin*, Dan Casass, Oleksandr Sotnychenko*, Weipeng Xu*,
 Theobalt*
 *Max Planck Institute For Informatics, Saarland Informatics Campus, Germany
 sUniversidad Rey Juan Carlos, Spain"

-8120a64a73b89294990b3c1e4567b503869b8979,Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation,"Under review as a conference paper at ICLR 2016
-STORIES IN THE EYE: CONTEXTUAL VISUAL IN-
-TERACTIONS FOR EFFICIENT VIDEO TO LANGUAGE
-TRANSLATION
-Anirudh Goyal
-Center for Visual Information Technology
-International Institute of Information and Technolgy, Hyderabad
-Marius Leordeanu
-Institute of Mathematics of the Romanian Academy
-1 Calea Grivitei, Bucharest, Romania"

 815069f591122aa7b388615f944c17c7fa1eff14,Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling,"Constrained Overcomplete Analysis Operator
 Learning for Cosparse Signal Modelling
 Mehrdad Yaghoobi, Sangnam Nam, R´emi Gribonval and Mike E. Davies"

@@ -66443,27 +56201,8 @@ vorgelegt von
 Mohamed Farouk Abdel Hady
 us Kairo, ¨Agypten
 Ulm, Deutschland"

-818dcb3bac6342c02eebd896cd0a46bcf2192b64,Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification,"Unified Structured Learning for Simultaneous
-Human Pose Estimation and Garment Attribute
-Classification
-Jie Shen, Guangcan Liu, Member, IEEE, Jia Chen, Yuqiang Fang, Jianbin Xie, Member, IEEE, Yong Yu,
-nd Shuicheng Yan, Senior Member, IEEE"

 81006fe4c4947d225b9fa17e6b98b8acb36a7692,A Dataset for Grasping and Manipulation using ROS,"A Dataset for Grasping and Manipulation using ROS
 Matei Ciocarlie†, Gary Bradski†, Kaijen Hsiao† and Peter Brook†∗"

-81706277ed180a92d2eeb94ac0560f7dc591ee13,Emotion based Contextual Semantic Relevance Feedback in Multimedia Information Retrieval,"International Journal of Computer Applications (0975 – 8887)
-Volume 55– No.15, October 2012
-Emotion based Contextual Semantic Relevance
-Feedback in Multimedia Information Retrieval
-Karm Veer Singh
-Department of Computer Engineering, Indian
-Institute of Technology, Banaras Hindu
-University,Varanasi, 221005, India
-Anil K. Tripathi
-Department of Computer Engineering, Indian
-Institute of Technology, Banaras Hindu
-University,Varanasi, 221005, India
-find  some
-issued  by  a  user"

 8134b052a9aedd573dd16649a611f68b48e30cb2,InverseFaceNet: Deep Monocular Inverse Face Rendering,"InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image
 Hyeongwoo Kim1
 Justus Thies2
@@ -66487,13 +56226,6 @@ Introduction
 Empirical Comparison of MLDA variants on Face Recognition
 Appendix: Multilinear decompositions
 References"

-81d91eb9fa3fec5d198b4522d5c373e55c0ddffb,Face Recognition using DCT based Energy Discriminant Mask,"International Journal of Computer Applications (0975 – 8887)
-Volume 170 – No.5, July 2017
-Face Recognition using DCT based Energy
-Discriminant Mask
-Vikas Maheshkar
-Division of Information technology
-New Delhi, India"

 c03c16668426d8b069e75cb440686e12a9adbcd7,Deep Unsupervised Similarity Learning Using Partially Ordered Sets,"Deep Unsupervised Similarity Learning using Partially Ordered Sets
 Miguel A. Bautista∗ , Artsiom Sanakoyeu∗ , Bj¨orn Ommer
 Heidelberg Collaboratory for Image Processing
@@ -66512,12 +56244,6 @@ Azad Mashari University of Toronto, Toronto,
 nd Jie Zhou The Johns Hopkins University, Baltimore
 Workshop 
 October 
, 
-c03f48e211ac81c3867c0e787bea3192fcfe323e,Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System,"INTERSPEECH 2016
-September 8–12, 2016, San Francisco, USA
-Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in
-I-vector Speaker Recognition System
-Zhenchun Lei1, Yanhong Wan1, Jian Luo1, Yingen Yang1
-School of Computer Information Engineering, Jiangxi Normal University, Nanchang, China"

 c0014e048a5d15ddfeffa075a1b819bcb93dd351,Simple and Efficient Visual Gaze Estimation,"Simple and Efficient Visual Gaze Estimation
 Roberto Valenti
 Nicu Sebe
@@ -66543,10 +56269,6 @@ extract highly discriminative, informative, and
 privacy-protective binary representation
 Meng-Hui Lim and Andrew Beng Jin Teoh*"

 c0e9d06383442d89426808d723ca04586db91747,Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)

-c0e5a471179d2d8c7025febe77a90c3a99c7c9fa,Learning With ℓ1-Graph for Image Analysis,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 4, APRIL 2010
-Learning With `1-Graph for Image Analysis
-Bin Cheng, Jianchao Yang, Student Member, IEEE, Shuicheng Yan, Senior Member, IEEE, Yun Fu, Member, IEEE,
-nd Thomas S. Huang, Life Fellow, IEEE"

 c05a7c72e679745deab9c9d7d481f7b5b9b36bdd,"Naval Postgraduate School Monterey, California Approved for Public Release; Distribution Is Unlimited Biometric Challenges for Future Deployments: a Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics","NPS-CS-11-005
 NAVAL
 POSTGRADUATE
@@ -66671,26 +56393,6 @@ Viale del Risorgimento 2, Bologna
 c0f17f99c44807762f2a386ac6579c364330e082,A Review on Deep Learning Techniques Applied to Semantic Segmentation,"A Review on Deep Learning Techniques
 Applied to Semantic Segmentation
 A. Garcia-Garcia, S. Orts-Escolano, S.O. Oprea, V. Villena-Martinez, and J. Garcia-Rodriguez"

-c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,"ClothCap: Seamless 4D Clothing Capture and Retargeting
-GERARD PONS-MOLL∗, Max Planck Institute for Intelligent Systems, Tübingen, Germany
-SERGI PUJADES∗, Max Planck Institute for Intelligent Systems, Tübingen, Germany
-SONNY HU, Body Labs, New York, NY, USA
-MICHAEL J. BLACK, Max Planck Institute for Intelligent Systems, Tübingen, Germany
-Fig. 1. ClothCap. From left to right: (1) An example 3D textured scan that is part of a 4D sequence. (2) Our multi-part aligned mesh model, layered over the
-ody. (3) The estimated minimally clothed shape (MCS) under the clothing. (4) The body made fatter and dressed in the same clothing. Note that the clothing
-dapts in a natural way to the new body shape. (5) This new body shape posed in a new, never seen, pose. This illustrates how ClothCap supports a range of
-pplications related to clothing capture, modeling, retargeting, reposing, and try-on.
-Dressing virtual avatars and animating them with high quality, visu-
-lly plausible, results is a challenging task. Highly realistic physical
-simulation of clothing on human bodies in motion is complex: cloth-
-ing models are laborious to construct, patterns must be graded so
-that they can be sized to different characters, and the physical param-
-eters of the cloth must be known. Instead, we propose a data-driven
-lothing capture (ClothCap) approach; we capture dynamic clothing
-on humans from 4D scans and transform it to more easily dress
-virtual avatars.
-INTRODUCTION
-Designing and simulating realistic clothing is challenging. Previous methods"

 c038beaa228aeec174e5bd52460f0de75e9cccbe,Temporal Segment Networks for Action Recognition in Videos,"Temporal Segment Networks for Action
 Recognition in Videos
 Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool"

@@ -66702,12 +56404,6 @@ Peng Wang†
 Sergio Guadarrama∗
 Kevin P. Murphy∗
 Hyun Oh Song∗"

-c082afd5928165ccaf6d419aff5d0456d8ef78f3,Face recognition by fusing binary edge feature and second-order mutual information,"Face Recognition by Fusing Binary Edge Feature and
-Second-order Mutual Information
-Jiatao Song, Beijing Chen, Wei Wang, Xiaobo Ren
-School of Electronic and Information Engineering,
-Ningbo University of Technology
-Ningbo, China"

 c038186138b76a625500ff84c9dadb18aae29f1c,Learning Implicit Transfer for Person Re-identification,"Learning Implicit Transfer
 for Person Re-identi(cid:12)cation
 Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, and Shaul Markovitch
@@ -66746,16 +56442,6 @@ Dataset
 Jingchun Cheng2(cid:63) Han-Kai Hsu1∗ Fang Chen3 Hailin Jin3 Shengjin Wang2‡
 Ming-Hsuan Yang1
 University of California, Merced 2Tsinghua University 3Adobe Research"

-ac968bf321f1dfa2d216dccc22fa5315de63d7bd,Face Template Protection using Deep Convolutional Neural Network,"Face Template Protection using Deep Convolutional Neural Network
-Arun Kumar Jindal, Srinivas Chalamala, Santosh Kumar Jami
-TCS Research, Tata Consultancy Services, India
-{jindal.arun, chalamala.srao,"

-ac4c19e52a58aea27593b99f0ebe5316339b9646,A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries,"A Probabilistic Approach for Image Retrieval Using
-Descriptive Textual Queries
-Yashaswi Verma
-CVIT, IIIT Hyderabad, India
-C. V. Jawahar
-CVIT, IIIT Hyderabad, India"

 ac7f898ff5789914d423526c392ee61b979fdd8e,"Target Tracking with Kalman Filtering , KNN and LSTMs Dan Iter","Target Tracking with Kalman Filtering, KNN and LSTMs
 Dan Iter
 Jonathan Kuck
@@ -66791,8 +56477,6 @@ Certified by:
 Accepted by:
 William T. Freeman
 Professor of Electrical Engineering and Computer Science"

-ac88405d34b7b6fa701e25d9fbdb56126cc9a8c3,On the Diversity of Realistic Image Synthesis,"On the Diversity of Realistic Image Synthesis
-Zichen Yang, Haifeng Liu, Member, IEEE and Deng Cai, Member, IEEE"

 ac83b9ad20ecf63c7818ff1e43a99b4c626fac12,Accuracy and Security Evaluation of Multi-Factor Biometric Authentication,"Accuracy and Security Evaluation of Multi-Factor Biometric Authentication
 Hisham Al-Assam, Harin Sellahewa, Sabah Jassim
 Department of Applied Computing
@@ -66923,26 +56607,6 @@ Graduate School of Engineering, Tokyo University of Agriculture and Technology,
 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan
 *Corresponding author:
 Received January 09, 2015; Revised January 19, 2015; Accepted January 22, 2015"

-accbd6cd5dd649137a7c57ad6ef99232759f7544,Facial Expression Recognition with Local Binary Patterns and Linear Programming,"FACIAL EXPRESSION RECOGNITION WITH LOCAL BINARY PATTERNS
-AND LINEAR PROGRAMMING
-Xiaoyi Feng1, 2, Matti Pietikäinen1, Abdenour Hadid1
-Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information Engineering
-P. O. Box 4500 Fin-90014 University of Oulu, Finland
-2 College of Electronics and Information, Northwestern Polytechnic University
-710072 Xi’an, China
-In  this  work,  we  propose  a  novel  approach  to  recognize  facial  expressions  from  static
-images. First, the Local Binary Patterns (LBP) are used to efficiently represent the facial
-images and then the Linear Programming (LP) technique is adopted to classify the seven
-facial  expressions  anger,  disgust,  fear,  happiness,  sadness,  surprise  and  neutral.
-Experimental results demonstrate an average recognition accuracy of 93.8% on the JAFFE
-database, which outperforms the rates of all other reported methods on the same database.
-Introduction
-Facial  expression  recognition  from  static
-images  is  a  more  challenging  problem
-than  from  image  sequences  because  less
-information  for  expression  actions
-vailable.  However,  information  in  a
-single  image  is  sometimes  enough  for"

 ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627,Age detection from a single image using multitask neural networks : An overview and design proposal,"Research School of Engineering
 ANU College of Engineering and Computer Science
 ASSIGNMENT COVER SHEET
@@ -66966,11 +56630,6 @@ ac6a9f80d850b544a2cbfdde7002ad5e25c05ac6,Privacy-Protected Facial Biometric Veri
 Using Fuzzy Forest Learning
 Richard Jiang, Ahmed Bouridane, Senior Member, IEEE, Danny Crookes, Senior Member, IEEE,
 M. Emre Celebi, Senior Member, IEEE, and Hua-Liang Wei"

-acc5318592303852feba755a1202fb3c683b3b53,Correction of AI systems by linear discriminants: Probabilistic foundations,"Correction of AI systems by linear discriminants: Probabilistic foundations
-A.N. Gorbana,b,∗, A. Golubkovc, B. Grechuka, E.M. Mirkesa,b, I.Y. Tyukina,b
-Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK
-Lobachevsky University, Nizhni Novgorod, Russia
-Saint-Petersburg State Electrotechnical University, Saint-Petersburg, Russia"

 ac12ba5bf81de83991210b4cd95b4ad048317681,Combining Deep Facial and Ambient Features for First Impression Estimation,"Combining Deep Facial and Ambient Features
 for First Impression Estimation
 Furkan G¨urpınar1, Heysem Kaya2, Albert Ali Salah3
@@ -67016,15 +56675,6 @@ Based Semantic Segmentation
 Max-Heinrich Laves · Jens Bicker · Lüder
 A. Kahrs · Tobias Ortmaier
 Received: date / Accepted: date"

-6a1da83440c7685f5a03e7bda17be9025e0892e3,Semantic Match Consistency for Long-Term Visual Localization,"Semantic Match Consistency for Long-Term
-Visual Localization
-Carl Toft1, Erik Stenborg1, Lars Hammarstrand1, Lucas Brynte1, Marc
-Pollefeys2,3, Torsten Sattler2, Fredrik Kahl1
-Department of Electrical Engineering, Chalmers University of Technology, Sweden
-Department of Computer Science, ETH Z¨urich, Switzerland
-Microsoft, Switzerland"

-6ac1dc59e823d924e797afaf5c4a960ed7106f2a,Deep Facial Expression Recognition: A Survey,"Deep Facial Expression Recognition: A Survey
-Shan Li and Weihong Deng∗, Member, IEEE"

 6aa21d78af359853ee07288cfc8d047e914ce458,Facial Expression Recognition using Log-Euclidean Statistical Shape Models,"FACIAL EXPRESSION RECOGNITION USING
 LOG-EUCLIDEAN STATISTICAL SHAPE MODELS
 Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark and Wei Quan
@@ -67039,16 +56689,6 @@ Facebook Research
 Facebook Research
 Hacker Way
 Hacker Way"

-6a7e464464f70afea78552c8386f4d2763ea1d9c,Facial Landmark Localization – A Literature Survey,"Review Article
-International Journal of Current Engineering and Technology
-E-ISSN 2277 – 4106, P-ISSN 2347 - 5161
-©2014 INPRESSCO
-, All Rights Reserved
-Available at http://inpressco.com/category/ijcet
-Facial Landmark Localization – A Literature Survey
-Dhananjay RathodȦ*, Vinay A, Shylaja SSȦ and S NatarajanȦ
-ȦDepartment of Information Science and Engineering, PES Institute of Technology, Bangalore, Karnataka, India
-Accepted 25 May 2014, Available online 01 June2014, Vol.4, No.3 (June 2014)"

 6a7ec333ccabd41b9d20f05c145b3377f6045f43,"C 2010 Zihan Zhou Face Recognition under Varying Illumination, Pose and Contiguous Occlusion",(cid:13) 2010 Zihan Zhou

 6a41ba9db0affa701ea125e09a2fe7eb583e3ac9,Frontal imgelerden otomatik yüz tan ı ma Automatic face recognition from frontal images,"Frontal imgelerden otomatik yüz tanıma
 Automatic face recognition from frontal images
@@ -67140,15 +56780,6 @@ Beijing Etrol Technologies Co., Ltd.
 Centre for OPTical Imagery Analysis and Learning, Northwestern Polytechnical University.
 School of Automation, Northwestern Polytechnical University.
 5School of Electrical and Data Engineering, University of Technology Sydney."

-6a1fd51107770edbdd832a1934ff5461e891f2e1,A Robust and Dominant Local Binary Pattern and Its Application,"IJSRD - International Journal for Scientific Research & Development| Vol. 2, Issue 10, 2014 | ISSN (online): 2321-0613
-A Robust and Dominant Local Binary Pattern and Its Application
-Keerthana A.V1 Ashwin M2
-Student of M.E 2Associate Professor
-,2Department of Computer Science & Engineering
-,2Adhiyamaan College of Engineering, Krishnagiri, Tamilnadu, India
-Local
-ternary
-Pattern,  modified"

 6af98f9843ba629ae1b0347e8b8d81a263f8d7f2,Does this recession make me look black? The effect of resource scarcity on the categorization of biracial faces.,"Short Report
 Does This Recession Make Me Look Black?
 The Effect of Resource Scarcity on the
@@ -67173,14 +56804,6 @@ ompetition between groups (e.g., Kurzban & Neuberg, 2005;"
 Relative Pairwise Relationship Constrained
 Non-negative Matrix Factorisation
 Shuai Jiang, Kan Li, and Richard Yida Xu"

-6ade1e0d4744d2eb5bf7bab97289ffd7eeb5a661,SIMULATED+UNSUPERVISED LEARNING WITH ADAPTIVE DATA GENERATION AND BIDIRECTIONAL MAPPINGS,"Published as a conference paper at ICLR 2018
-SIMULATED+UNSUPERVISED LEARNING WITH
-ADAPTIVE DATA GENERATION AND
-BIDIRECTIONAL MAPPINGS
-Kangwook Lee∗, Hoon Kim∗& Changho Suh
-School of Electrical Engineering
-KAIST
-Daejeon, South Korea"

 6a3cbe2bb27b2a7d32c358e0be4ed268f7d4455c,"Modeling Shape, Appearance and Self-Occlusions for Articulated Object Tracking","Modeling Shape, Appearance and Self-Occlusions
 for Articulated Object Tracking
 Yanchao Yang and Ganesh Sundaramoorthi"

@@ -67235,26 +56858,6 @@ purposes or for creating new collective works for resale or
 redistribution to servers or lists, or to reuse any copyrighted
 omponent of this work in other works must be obtained from
 the IEEE.; This work is licensed under a Creative Commons"

-6ad5a38df8dd4cdddd74f31996ce096d41219f72,Multi-cue onboard pedestrian detection,"Objectives
-Implementation details
-Experiments on TUD-Brussels
-Conclusion
-{wojek, walk,
-Multi-Cue Onboard Pedestrian Detection
-Christian Wojek, Stefan Walk, Bernt Schiele
-Computer Science Department, TU Darmstadt, Germany
-Detect pedestrians from a moving platform
-• Exploit motion information
-• Leverage complementarity of features
-• Evaluate different classifiers
-• New datasets with image pairs
-Features
-• HOG [1]
-8× 8 pixel cells, 2× 2 blocks
-9-bin histograms, unsigned gradients
-• Haar wavelets [2]
-2 and 16 pixel masks
-horizontal, vertical and diagonal re-"

 6a8a3b27a78c78bc80984fca29554de3269d34d3,Speeding-Up Object Detection Training for Robotics with FALKON,"Speeding-up Object Detection Training for Robotics with FALKON
 Elisa Maiettini1,2,3, Giulia Pasquale1,2, Lorenzo Rosasco2,3 and Lorenzo Natale1"

 6a27ffd788a0db64fef74e673786763c82902a26,Discriminative deep transfer metric learning for cross-scenario person re-identification,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/13/2018
@@ -67435,11 +57038,6 @@ Smartphones
 Affiliation
 City, Country
 e-mail address"

-63c71e317168d5b55dccaf5515ad96c9e87f7d9e,"Part-Based RDF for Direction Classification of Pedestrians, and a Benchmark","Part-based RDF for Direction Classification
-of Pedestrians, and a Benchmark
-Junli Tao and Reinhard Klette
-The .enpeda.. Project, Tamaki Campus
-The University of Auckland, Auckland, New Zealand"

 637648198f9e91654ce27eaaa40512f2dc870fc1,Survey of Visual Question Answering: Datasets and Techniques,"Survey of Visual Question Answering: Datasets and Techniques
 Akshay Kumar Gupta
 Indian Institute of Technology Delhi"

@@ -67492,15 +57090,6 @@ P. Quelhasy, F. Monayy, J.-M. Odobezy, D. Gatica-Perezy, T. Tuytelaarsz, and L.
 yIDIAP Research Institute, Martigny, Switzerland
 zKatholieke Universiteit, Leuven, Belgium
 fquelhas, monay, odobez, ftinne.tuytelaars,"

-638b98ce5fddd0bd6d9ca22fb4c48220e6f3109c,Facial Feature Extraction in Colour Images Based on Local Binary Pattern,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Facial Feature Extraction in Colour Images Based
-on Local Binary Pattern
-Lakshmy. R1, Asha A. S2
-PG Scholar, Department of Electronics and Communication Engineering
-TKM Institute of Technology, Kollam, Kerala, India
-Assistant Professor, Department of Electronics and Communication Engineering
-TKM Institute of Technology, Kollam, Kerala, India"

 63c109946ffd401ee1195ed28f2fb87c2159e63d,Robust Facial Feature Localization Using Improved Active Shape Model and Gabor Filter,"MVA2011 IAPR Conference on Machine Vision Applications, June 13-15, 2011, Nara, JAPAN
 Robust Facial Feature Localization using Improved Active Shape
 Model and Gabor Filter
@@ -67541,17 +57130,6 @@ DAVIDE MALTONI
 Relatore
 MASSIMO TISTARELLI
 Esame finale anno 2014"

-63db312ec494988e1af0c1db5f9d9ca40ef89237,Vision Based Gesture Recognition : a Comprehensive Study,"REGULAR ISSUE
-ARTICLE
-VISION BASED GESTURE RECOGNITION: A COMPREHENSIVE
-STUDY
-A Balasundaram1*, C Chellappan 2
-Research Scholar, Department of CSE, G.K.M. College of Engineering and Technology, Chennai, INDIA
-Principal, G.K.M. College of Engineering and Technology, Chennai, INDIA"

-63cdf4aa1492c5c8fb109a1bf03af4844982e265,Reconstructing High-Resolution Face Models From Kinect Depth Sequences,"Reconstructing High-Resolution Face Models
-From Kinect Depth Sequences
-Enrico Bondi, Pietro Pala, Senior Member, IEEE, Stefano Berretti, Member, IEEE,
-nd Alberto Del Bimbo, Senior Member, IEEE"

 6358b95b1c97df4f10f57a90913f672e44d2094b,Opponent colors for human detection,"Opponent Colors for Human Detection
 Rao Muhammad Anwer, David V´azquez, and Antonio M. L´opez
 Computer Vision Center and Computer Science Dpt.,
@@ -67683,9 +57261,6 @@ the requirements for the degree of
 Master of Science
 Graduate Program in Computer Engineering
 Bo˘gazi¸ci University"

-628b7dbf216aba008b9ef74a411b87a99e7a3106,A review of speech-based bimodal recognition,"IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 4, NO. 1, MARCH 2002
-A Review of Speech-Based Bimodal Recognition
-Claude C. Chibelushi, Farzin Deravi, Member, IEEE, and John S. D. Mason"

 62b90583723174220b26c92bd67f6c422ad75570,DNA-GAN: LEARNING DISENTANGLED REPRESEN-,"Under review as a conference paper at ICLR 2018
 DNA-GAN: LEARNING DISENTANGLED REPRESEN-
 TATIONS FROM MULTI-ATTRIBUTE IMAGES
@@ -67780,9 +57355,6 @@ genehmigte
 Dissertation
 Gerard Pons Moll
 geboren am 25. Oktober 1984 in Barcelona."

-6268ad4bc516a41a30db566e2207079fc483212e,LBP-Based Edge-Texture Features for Object Recognition,"LBP-Based Edge-Texture Features for
-Object Recognition
-Amit Satpathy, Member, IEEE, Xudong Jiang, Senior Member, IEEE, and How-Lung Eng, Member, IEEE"

 621ea1f1e364262348135c803557e7b3454a804e,Generative spatiotemporal modeling of neutrophil behavior,"Accepted to 2018 IEEE International Symposium on Biomedical Imaging
 Copyright ©2018 IEEE
 Generative Spatiotemporal Modeling Of Neutrophil Behavior
@@ -67795,26 +57367,6 @@ University of Georgia"
 6236962ce0d627fc23774f0680e77069b9667803,Fitting a Morphable Model to Pose and Shape of a Point Cloud,"Fitting a Morphable Model to Pose and Shape of a Point Cloud
 David C. Schneider, Peter Eisert
 Fraunhofer Heinrich Hertz Institute, Einsteinufer 37, 10587 Berlin, Germany"

-62c425be3e07e076d1339d1f2fe2ed319a859f02,Face Recognition & Gender Determination Using LIPS .,"International Journal of Advance Foundation and Research in Computer (IJAFRC)
-Volume 2, Special Issue (NCRTIT 2015), January 2015. ISSN 2348 - 4853
-Face Recognition & Gender Determination Using LIPS.
-Rutuja G. Shelke*,Prof. S. A. Annadate.
-JNEC, Aurangabad, Maharashtra, India
-A B S T R A C T
-This  paper  presents  a  novel  face  detection  and  gender  determination  strategy  in  color  images
-under non uniform background. This is done by detecting the human skin regions in image given
-nd  detecting  facial  features  based  on  the  measurements  in  pixels.  The  proposed  converts  the
-RGB image into the YCbCr color space to detect the skin regions in the facial image. But in order to
-detect facial features the color image is converted in to gray scale image. This method locates the
-lip  region  and  the  mouth  region.  Here  feature  extraction  is  carried  out  by  using  Principal
-omponent analysis (PCA) and Gabor wavelet. The gender classification method classifies almost
-ll  the  images  with  different  image  sizes.  The  best  classification  rate  is  achieved  by  using  the
-method  given  in  this  work  i.e.  Minimum  distance  classifier method.  The  whole  idea  is  offering  a
-simple, reliable and robust method for extracting features of lips for face recognition and gender
-identification. For recognition experiments we used face images of persons from different sets of
-the  FERET  and  AR  databases.  The  results  using  a  training  database  of  15  male  and  15  female
-images show an average performance of 88.6% correct gender determination on images from test
-Index  Terms  :  Face  recognition,  Gender  determination,  YCbCr,  Principal  Component  Analysis,"

 626c12d6ccb1405c97beca496a3456edbf351643,Conditional Variance Penalties and Domain Shift Robustness,"Conditional Variance Penalties and Domain Shift Robustness
 Christina Heinze-Deml & Nicolai Meinshausen
 Seminar for Statistics
@@ -67839,14 +57391,6 @@ School of Electrical Engineering
 Korea Advanced Institute of Science
 nd Technology (KAIST),
 South Korea"

-62e2c431d375bbafd988d53c4d39f240c8b7977b,A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups,"A Game-Theoretic Probabilistic Approach
-for Detecting Conversational Groups
-Sebastiano Vascon1, Eyasu Zemene Mequanint2, Marco Cristani1,3, Hayley Hung4 (cid:63),
-Marcello Pelillo2, and Vittorio Murino1,3
-Dept. of Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy
-Dept. of Environmental Sciences, Informatics and Statistics, University Ca’ Foscari of Venice, Italy
-Dept. of Computer Science, University of Verona, Italy
-Faculty of Electrical Engineering, Mathematics and Computer Science, Technical University of Delft, Netherlands"

 623da0faea1f98f238936e34f361518829edfdf4,Digital geometry image analysis for medical diagnosis,"Digital Geometry Image Analysis for Medical Diagnosis
 Jiandong Fang    Shiaofen Fang     Jeffrey Huang     Mihran Tuceryan
 Department of Computer and Information Science
@@ -67874,9 +57418,6 @@ presented.
 Correspondingauthor:I.Pitas
 DRAFT
 September
-62da5876fbc5b6abe467891fc71b68173e6ad061,Heterogeneous Face Recognition Using Kernel Prototype Similarities,"Heterogeneous Face Recognition Using
-Kernel Prototype Similarities
-Brendan F. Klare, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

 62c435bc714f13a373926e3b1914786592ed1fef,Classification Signboard Detection Face Detection Animal Detection Texture Detection GPS + IMU Depth Localization Module Central Control Speech,"MAVI: An Embedded Device to Assist Mobility of
 Visually Impaired
 Rajesh Kedia∗, Yoosuf K K∗, Pappireddy Dedeepya∗, Munib Fazal∗, Chetan Arora†, and M. Balakrishnan∗
@@ -67937,18 +57478,6 @@ Magnitude-Orientation Stream Network
 Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos, William Robson Schwartz
 Smart Surveillance Interest Group, Department of Computer Science
 Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"

-62d5c16760018b08e301a940434c3fc2e862c385,Approach For Palm Vein Blood Vessel Detection Based On Fuzzy Logic,"International Journal of Electronics Engineering Research.
-ISSN 0975-6450 Volume 9, Number 4 (2017) pp. 613-619
-© Research India Publications
-http://www.ripublication.com
-Approach For Palm Vein Blood Vessel Detection
-Based On Fuzzy Logic
-Praveen Kaundal
-Department of E.C.E, PEC, University of Technology
-Chandigarh-160012, India
-Dr. Sukhwinder Singh
-Department of E.C.E, PEC, University of Technology
-Chandigarh-160012, India"

 62007c30f148334fb4d8975f80afe76e5aef8c7f,Eye In-Painting with Exemplar Generative Adversarial Networks,"Eye In-Painting with Exemplar Generative Adversarial Networks
 Brian Dolhansky, Cristian Canton Ferrer
 Facebook Inc.
@@ -67974,26 +57503,6 @@ Tabasco, Mexico // // // //
 for Mathematics
 Huerta-Pacheco1
 *Corresponding author"

-629722342f719ee413e9bb07072a2fc2b4f09a26,Gender Classification by Information Fusion of Hair and Face,"Gender Classification by Information Fusion
-of Hair and Face
-Zheng Ji, Xiao-Chen Lian and Bao-Liang Lu
-Department of Computer Science and Engineering, Shanghai
-Jiao Tong University 800 Dong Chuan Road,
-Shanghai 200240, China
-. Introduction
-Various gender classification methods have been reported in the literature. These existing
-methods fall into two categories. The first kind of method is the appearance-based approach.
-Golomb et al. [1] used a two-layer neural network with 30 × 30 inputs and directly fed the
-scaled  image  pixels  to  the  network  without  dimensionality  reduction.  Their  database
-ontains only 90 images with half male and half female facial images. Gutta et al. [2] used the
-mixture of experts combining the ensembles of radial basis functions (RBF) networks and a
-decision tree. Xu et al. [3] applied Adaboost to gender classification problem with the feature
-pools  composed  of  a  set  of  linear  projections  utilizing  statistical  moments  up  to  second
-order. Wu et al. [4] also adopted Adaboost. Instead of using threshold weak classifiers, they
-used  looking-up  table  weak  classifiers,  which  are  more  general  and  better  than  simple
-threshold  ones  due  to  stronger  ability  to  model  complex  distribution  of  training  samples.
-Moghaddam and Yang [5] demonstrated that support vector machines (SVMs) work better
-than other classifiers such as ensemble of radial basis function (RBF) networks, classical RBF"

 62306db738cfddd39e1f12e22bce0f7615ce58b8,Face detection with colour segmentation and fuzzy template matching,"Proceedings of the 17th World Congress
 The International Federation of Automatic Control
 Seoul, Korea, July 6-11, 2008
@@ -68018,38 +57527,12 @@ Guilhem Ch´eron · Anton Osokin · Ivan Laptev · Cordelia Schmid"
 14761b89152aa1fc280a33ea4d77b723df4e3864,Zero-Shot Learning via Visual Abstraction,

 14a5feadd4209d21fa308e7a942967ea7c13b7b6,Content-based vehicle retrieval using 3D model and part information,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE
 ICASSP 2012"

-14f964d152337e963e4a4fd3619f6030aa75deb1,Person Re-identification by Discriminatively Selecting Parts and Features,"Person re-identification by discriminatively
-selecting parts and features
-Amran Bhuiyan, Alessandro Perina and Vittorio Murino
-Pattern Analysis and Computer Vision (PAVIS)
-Istituto Italiano di Tecnologia
-Genova, Italy"

 1414d4880e368414cbbbbd215e8b0471f185aa03,Face Detection in Low-Resolution Color Images,"Face Detection in Low-resolution Color Images
 Jun Zheng, Geovany A. Ramirez, and Olac Fuentes,
 Computer Science Department,
 University of Texas at El Paso,
 El Paso, Texas, 79968, U.S.A.
 No Institute Given"

-14f0283c703e450e5f17cbe94878896de865ce30,Robust Visual Tracking for Multiple Targets with Data Association and Track Management,"Volume 3, Issue 2 (2015) 383-385
-ISSN 2347 - 3258
-International Journal of Advance Research and Innovation
-Robust Visual Tracking for Multiple Targets with Data Association and
-Track Management
-N. Mahalakshmi, S. R. Saranya
-Department of Computer Science Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil
-Nadu, India
-Article Info
-Article history:
-Received 5 April 2015
-Received in revised form
-0 April 2015
-Accepted 20 May 2015
-Available online 15 June 2015
-Keywords
-Online Multi-Object Tracking,
-Tracking-By Detection,
-Data Association,
-Track Management,"

 14c988aa9086207b337dcc5611aad08422129b42,Human Relative Position Detection Based on Mutual Occlusion,"Human Relative Position Detection
 Based on Mutual Occlusion
 V´ıctor Borjas, Michal Drozdzal, Petia Radeva, and Jordi Vitri`a
@@ -68086,14 +57569,6 @@ DETECTOR:
 FEWER CLICKS – LESS FRUSTRATION1
 Peter M. Roth2, Helmut Grabner2, Christian Leistner2,
 Martin Winter2, and Horst Bischof2"

-14902cf0b07eae6561184b12aef07e945936ed26,Road side video surveillance in traffic scenes using mapreduce framework for accident analysis,"Biomedical Research 2016; Special Issue: : S257-S266
-ISSN 0970-938X
-www.biomedres.info
-Road side video surveillance in traffic scenes using map-reduce framework
-for accident analysis.
-Maha Vishnu VC*, Rajalakshmi M
-Department of Computer Science and Engineering and Information Technology, Coimbatore Institute of Technology,
-Coimbatore, India"

 14bf85bacf15241c500db72c145b0490a14addaa,Generalization in Holistic versus Analytic Processing of Faces,"Generalization in Holistic versus Analytic Processing of Faces
 M. Bicego∗
 A.A. Salah
@@ -68239,13 +57714,6 @@ SeMarket, S.A. Barcelona, Spain"
 1450296fb936d666f2f11454cc8f0108e2306741,Learning to Discover Cross-Domain Relations with Generative Adversarial Networks,"Learning to Discover Cross-Domain Relations
 with Generative Adversarial Networks
 Taeksoo Kim 1 Moonsu Cha 1 Hyunsoo Kim 1 Jung Kwon Lee 1 Jiwon Kim 1"

-14a022a3eb8cc9681b1ab075650d462788de1fa0,GANs for Biological Image Synthesis,"GANs for Biological Image Synthesis
-INRIA/ENS∗, France
-Anton Osokin
-HSE†, Russia
-Anatole Chessel
-´Ecole Polytechnique‡,
-France"

 142dcfc3c62b1f30a13f1f49c608be3e62033042,Adaptive region pooling for object detection,"Adaptive Region Pooling for Object Detection
 Yi-Hsuan Tsai
 UC Merced
@@ -68348,9 +57816,6 @@ Ruslan Salakhutdinov
 Richard S. Zemel
 Yoshua Bengio"

 14e9eaa6ac23996e9a62060c8da90bdb7116ee37,Localization Recall Precision (LRP): A New Performance Metric for Object Detection,[cs.CV]  5 Jul 2018

-1471c0b72e4a88b39e59362bf169bb35915966a9,Extended Coding and Pooling in the HMAX Model,"Extended coding and pooling in the HMAX model
-Christian Th´eriault, Nicolas Thome, Member, IEEE, and Matthieu Cord, Member, IEEE
-Universit´e Pierre et Marie Curie, UPMC-Sorbonne Universities, LIP6, 4 place Jussieu, 75005, Paris, France"

 14373c9fd08dee8f7195a88430121c69bbebbe1b,Head Pose Estimation Using Covariance of Oriented Gradients,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE
 ICASSP 2010"

 1456f147381bf7c385225d854c2fb48c19eca285,LCAV-31: a dataset for light field object recognition,"Computational Imaging XII, edited by Charles A. Bouman, Ken D. Sauer, Proc. of SPIE-IS&T Electronic Imaging,
@@ -68359,16 +57824,6 @@ Proc. of SPIE-IS&T/ Vol. 9020  902014-1"
 1459d4d16088379c3748322ab0835f50300d9a38,Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning,"Cross-Domain Visual Matching via Generalized
 Similarity Measure and Feature Learning
 Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang"

-c5c379a807e02cab2e57de45699ababe8d13fb6d,Facial Expression Recognition Using Sparse Representation,"Facial Expression Recognition Using Sparse Representation
-SHIQING ZHANG 1, XIAOMING ZHAO 2, BICHENG LEI 1
-School of Physics and Electronic Engineering
-Taizhou University
-Taizhou 318000
-CHINA
-2Department of Computer Science
-Taizhou University
-Taizhou 318000
-CHINA"

 c5844de3fdf5e0069d08e235514863c8ef900eb7,A Study on Similarity Computations in Template Matching Technique for Identity Verification,"Lam S K et al. / (IJCSE) International Journal on Computer Science and Engineering
 Vol. 02, No. 08, 2010, 2659-2665
 A Study on Similarity Computations in Template
@@ -68400,25 +57855,6 @@ for the degree of Doctor of Philosophy
 The University of Leeds
 School of Computing
 September 2016"

-c5697c28272dc7e81c451a63495f229c740d597b,Intra-class retrieval of non-rigid 3 D objects : Application to Face Recognition,"Intra-class retrieval of non-rigid 3D objects:
-Application to Face Recognition
-Georgios Passalis†‡, Ioannis A. Kakadiaris†, Member, IEEE, and Theoharis Theoharis†‡"

-c55dcc587a53ff82cf3f79d84e7df67f4c8f77ed,TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,"TabletGaze: A Dataset and Baseline Algorithms
-for Unconstrained Appearance-based Gaze
-Estimation in Mobile Tablets
-Qiong Huang, Student Member, IEEE, Ashok Veeraraghavan, Member, IEEE,
-nd Ashutosh Sabharwal, Fellow, IEEE"

-c51e244be1728fd1abbd4b4bc58d2e555643ea50,Towards Autonomous Vehicles with Advanced Sensor Solutions,"World Journal of Engineering and Technology, 2015, 3, 6-17
-Published Online October 2015 in SciRes. http://www.scirp.org/journal/wjet
-http://dx.doi.org/10.4236/wjet.2015.33C002
-Towards Autonomous Vehicles with
-Advanced Sensor Solutions
-Matti Kutila1, Pasi Pyykönen1, Aarno Lybeck2, Pirita Niemi2, Erik Nordin3
-VTT Technical Research Centre Ltd., P.O. Box 1300, FI-33101 Tampere, Finland
-TTS, P.O. Box 5, FI-05200 Rajamäki, FINLAND
-Volvo Group Trucks Technology (GTT), BF40562 M1.6, SE-405 08 Göteborg, Sweden
-Email:
-Received 29 May 2015; accepted 15 October 2015; published 22 October 2015"

 c50e498ede6f5216cffd0645e747ce67fae2096a,Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation,"Low-resolution Face Recognition in the Wild
 via Selective Knowledge Distillation
 Shiming Ge, Senior Member, IEEE, Shengwei Zhao, Chenyu Li and Jia Li, Senior Member, IEEE"

@@ -68487,19 +57923,6 @@ for advertising or promotional purposes, creating new collective works, for resa
 servers or lists, or reuse of any copyrighted component of this work in other works.
 Downloaded from
 http://hdl.handle.net/10072/54416"

-c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae,"Content-Based Video Indexing and Retrieval using Key frames Texture , Edge and Motion Features","International Journal of Current Engineering and Technology
-©2016 INPRESSCO®, All Rights Reserved
-Research Article
-Content-Based Video Indexing and Retrieval using Key frames Texture,
-Edge and Motion Features
-M.Ravinder†* and T.Venugopal‡
-E-ISSN 2277 – 4106, P-ISSN 2347 – 5161
-Available at http://inpressco.com/category/ijcet
-(R.Hamid et al., 2007; G. Lavee et al., 2009; J. Tang et al.,
-009; X. Chen et al., 2009).
-JNTUK, Kakinada, Andhra Pradesh, India
-Department of CSE, JNTUHCES, Sultanpur, Medak, Telangana, India
-Accepted 25 April 2016, Available online 30 April 2016, Vol.6, No.2 (April 2016)"

 c5318c79bc1b880e8356211b837b684f1ee6e5c4,Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates,"Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates
 Department of Computer Science
 Computer Vision Laboratory
@@ -68510,13 +57933,6 @@ ETH Zurich
 Marie-Francine Moens
 Department of Computer Science
 KU Leuven"

-c5decf0a3906c85b6540e96c9c7003957c6d395b,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,"Optimizing the Trade-off between
-Single-Stage and Two-Stage Deep Object Detectors
-using Image Difficulty Prediction
-Petru Soviany, Radu Tudor Ionescu
-Department of Computer Science
-University of Bucharest, Romania
-E-mails:"

 c52aa6b9c7b89782f2316ce8ef2156fa06a3696d,Learning Semantic Part-Based Models from Google Images,"Learning Semantic Part-Based Models
 from Google Images
 Davide Modolo and Vittorio Ferrari"

@@ -68528,13 +57944,6 @@ Online First Publication, May 11, 2017. http://dx.doi.org/10.1037/emo0000328
 CITATION
 Deska, J. C., Lloyd, E. P., & Hugenberg, K. (2017, May 11). The Face of Fear and Anger: Facial
 online publication. http://dx.doi.org/10.1037/emo0000328"

-c5c0cda46a77a7ea8c1f6d4d762b189ef424ffa4,Semantic 3 D Reconstruction of Heads,"Semantic 3D Reconstruction of Heads
-Fabio Maninchedda1, Christian H¨ane2,(cid:63), Bastien Jacquet3,(cid:63),
-Ama¨el Delaunoy(cid:63), Marc Pollefeys1,4
-ETH Zurich
-UC Berkeley
-Kitware SAS
-Microsoft"

 c588c89a72f89eed29d42f34bfa5d4cffa530732,Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning,"Attributes2Classname: A discriminative model for attribute-based
 unsupervised zero-shot learning
 Berkan Demirel1,3, Ramazan Gokberk Cinbis2, Nazli Ikizler-Cinbis3
@@ -68560,10 +57969,6 @@ Brandon Amos 1 Lei Xu 2 * J. Zico Kolter 1"
 c5b05718963f4edff80456c441796e4199ad8d41,Sampling and Ontologically Pooling Web Images for Visual Concept Learning,"Sampling and Ontologically Pooling Web Images for
 Visual Concept Learning
 Shiai Zhu, Chong-Wah Ngo, and Yu-Gang Jiang"

-c5a561c662fc2b195ff80d2655cc5a13a44ffd2d,Using Language to Learn Structured Appearance Models for Image Annotation,"Using Language to Learn Structured Appearance
-Models for Image Annotation
-Michael Jamieson, Student Member, IEEE, Afsaneh Fazly, Suzanne Stevenson, Sven Dickinson, Member, IEEE,
-Sven Wachsmuth, Member, IEEE"

 c590c6c171392e9f66aab1bce337470c43b48f39,Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals,"Emotion Recognition by Machine Learning Algorithms using
 Psychophysiological Signals
 Eun-Hye Jang, 2Byoung-Jun Park, 3Sang-Hyeob Kim, 4Jin-Hun Sohn
@@ -68577,17 +57982,6 @@ c54e8c7a4f9c2ebd8787aecafa4cfdb35bfd49e0,Effective Use of Bidirectional Language
 Medical Named Entity Recognition
 Devendra Singh Sachan1,*, Pengtao Xie1, and Eric P Xing1
 Petuum Inc, Pittsburgh, 15222, USA"

-c5637543e80f97c9ddab8b54a635cf71941e2786,Self-Calibrating View-Invariant Gait Biometrics,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS
-Self-Calibrating View-Invariant Gait Biometrics
-Michela Goffredo, Member, IEEE, Imed Bouchrika, Member, IEEE, John N. Carter, Member, IEEE, and
-Mark S. Nixon, Associate Member, IEEE"

-c5c6ec48ae98d86171360b19e3ec03738c712f53,Infinite Hidden Conditional Random Fields for Human Behavior Analysis,"Infinite Hidden Conditional Random Fields for
-Human Behavior Analysis
-Konstantinos Bousmalis, Student Member, IEEE,
-Stefanos Zafeiriou, Member, IEEE,
-Louis-Philippe Morency, Member, IEEE,
-nd Maja Pantic, Fellow, IEEE"

 1fd54172f7388cd83ed78ff9165519296de5cf20,Changing the Image Memorability: From Basic Photo Editing to GANs,"Changing the Image Memorability: From Basic Photo Editing to GANs
 Oleksii Sidorov
 The Norwegian Colour and Visual Computing Laboratory, NTNU
@@ -68601,9 +57995,6 @@ Pravakar Roy
 Volkan Isler∗"

 1ff057f2fb8258bd5359cded950a3627bd8ee1f4,Low-rank embedding for semisupervised face classification,"Low-Rank Embedding for Semisupervised Face Classification
 Gaurav Srivastava, Ming Shao and Yun Fu∗"

-1fbde67e87890e5d45864e66edb86136fbdbe20e,The Action Similarity Labeling Challenge,"The Action Similarity Labeling Challenge
-Orit Kliper-Gross, Tal Hassner, and
-Lior Wolf, Member, IEEE"

 1f7cd3343f4b6b0f936c94e3a45c477c014e2b5c,3D Human Pose Estimation on a Configurable Bed from a Pressure Image,"D Human Pose Estimation on a Configurable Bed from a Pressure Image
 Henry M. Clever*, Ariel Kapusta, Daehyung Park, Zackory Erickson, Yash Chitalia, Charles C. Kemp"

 1f8d539885f78e1a9d1314e952f3099e71676a5b,Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion,"Audio-Visual Speaker Diarization Based on
@@ -68640,10 +58031,6 @@ DEEP NEURAL NETWORKS
 Jesse M. Johns, Jeremiah Rounds & Michael J. Henry
 Pacific Northwest National Laboratory
 Richland, WA 99352, USA"

-1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6,Demographic Estimation from Face Images: Human vs. Machine Performance,"Demographic Estimation from Face Images:
-Human vs. Machine Performance
-Hu Han, Member, IEEE, Charles Otto, Student Member, IEEE, Xiaoming Liu, Member, IEEE
-nd Anil K. Jain, Fellow, IEEE"

 1f06651fc5ce2c10cb1f4ad53dd9c931ceb66448,Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^\circ ∘ Panoramic Imagery,"Eliminating the Blind Spot: Adapting 3D Object
 Detection and Monocular Depth Estimation to
 60◦ Panoramic Imagery
@@ -68684,9 +58071,6 @@ Image Classification
 Joshi, A.J.; Porikli, F.; Papanikolopoulos, N.
 TR2012-026
 January 2012"

-1ffe20eb32dbc4fa85ac7844178937bba97f4bf0,Face Clustering: Representation and Pairwise Constraints,"Face Clustering: Representation and Pairwise
-Constraints
-Yichun Shi, Student Member, IEEE, Charles Otto, Member, IEEE, and Anil K. Jain, Fellow, IEEE"

 1fcd7978c6956fd9a0d752ecc9f5ac1a1b2896e9,Impact of Face Registration Errors on Recognition,"Impact of Face Registration Errors on Recognition
 E. Rentzeperis, A. Stergiou, A. Pnevmatikakis and L. Polymenakos
 Athens Information Technology, Autonomic and Grid Computing,
@@ -68720,21 +58104,6 @@ Chen Change Loy (Eds.)
 PERSON RE-IDENTIFICATION
 October 10, 2013
 Springer"

-1fc952fef09d63c61b9b8828f872b7a018eefac1,QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition,"ACCEPTED IN SMC IEEE CONFERENCE 2018 (PAPER ID: 13628)
-QUEST:Quadriletral Senary bit Pattern for Facial
-Expression Recognition
-Monu Verma1
-Prafulla Saxena2
-S. K. Vipparthi3
-Gridhari Singh4
-Dept. of Computer Science and Engineering, Malaviya national Institute of Technology, Jaipur, India
-improves"

-1f69fa423b076e19dc2ccf6bc9013f09ae39133c,Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations,"Towards Building Large Scale Multimodal Domain-Aware Conversation Systems
-Amrita Saha1,2
-Mitesh M. Khapra2
-Karthik Sankaranarayanan1
-IBM Research AI
-I.I.T. Madras, India"

 1fff309330f85146134e49e0022ac61ac60506a9,Data-Driven Sparse Sensor Placement for Reconstruction,"Data-Driven Sparse Sensor Placement for Reconstruction
 Krithika Manohar∗, Bingni W. Brunton, J. Nathan Kutz, and Steven L. Brunton
 Corresponding author:"

@@ -68776,11 +58145,6 @@ Xiang Xu, Ha A. Le, Pengfei Dou, Yuhang Wu, Ioannis A. Kakadiaris
 {xxu18, hale4, pdou, ywu35,
 Computational Biomedicine Lab
 800 Calhoun Rd. Houston, TX, USA"

-1f35f0400d6d112e3b27231d0d9241258efd782d,Learning to Rank Using High-Order Information,"Learning to Rank Using High-Order Information
-Puneet Kumar Dokania1, Aseem Behl2, C.V. Jawahar2, and M. Pawan Kumar1
-Ecole Centrale de Paris
-INRIA Saclay, France
-IIIT Hyderabad, India"

 1fa9c5af78b3ca04476f4ee6910684dc19008f5e,Supplementary Material : Cross-Dataset Adaptation for Visual Question Answering,"Supplementary Material:
 Cross-Dataset Adaptation for Visual Question Answering
 Wei-Lun Chao∗
@@ -68815,10 +58179,6 @@ www.iosrjournals.org
 Face Recognition using Feed Forward Neural Network
 Pooja Rani
 (Department of computer science/ Punjabi university, India)"

-1fe74d637bc5e7d95abcd18b6967e51461fd8cdd,On the Dynamic Selection of Biometric Fusion Algorithms,"On the Dynamic Selection of Biometric Fusion
-Algorithms
-Mayank Vatsa, Member, IEEE, Richa Singh, Member, IEEE, Afzel Noore, Member, IEEE, and
-Arun Ross, Member, IEEE"

 1f0c7b93636f879bd5ef3dd915a02dcd813a053d,Interpreting Deep Visual Representations via Network Dissection,"Interpreting Deep Visual Representations via
 Network Dissection
 Bolei Zhou∗, David Bau∗, Aude Oliva, and Antonio Torralba"

@@ -68872,11 +58232,6 @@ Computer Vision Lab, ETH Zurich, Switzerland"
 1f47a13548317602ec76eafbea44d7b39926c4cd,Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification,"Stacking-Based Deep Neural Network: Deep
 Analytic Network for Pattern Classification
 Cheng-Yaw Low, Jaewoo Park, and, Andrew Beng-Jin Teoh, Senior Member, IEEE"

-1f614a97e16671c091b1bcd1a33e1280822b53db,Tracking People's Hands and Feet Using Mixed Network AND/OR Search,"DRAFT FOR TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Tracking people’s hands and feet using mixed
-network AND/OR search
-Vlad I. Morariu, Member, IEEE, David Harwood, Member, IEEE,
-nd Larry S. Davis, Fellow, IEEE"

 1fbb66a9407470e1da332c4ef69cdc34e169a3d7,A Baseline for General Music Object Detection with Deep Learning,"Article
 A Baseline for General Music Object Detection with
 Deep Learning
@@ -68900,16 +58255,6 @@ Cupertino, CA 95014
 Shaoting Zhang
 UNC Charlotte
 Charlotte, NC 28223"

-1f3370e2e6381408efe11e69ab12586bd6f74dc8,Report: Feature Selection Techniques for Classification,"Feature Selection Techniques for Classification:
-A widely applicable code library
-Giorgio Roffo
-University of Verona,
-Department of Computer Science"

-1fef45786e707e6b9b8517b0403e596ecbdea6a5,Sketch-based manga retrieval using manga109 dataset,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012
-Sketch-based Manga Retrieval
-using Manga109 Dataset
-Yusuke Matsui, Member, IEEE, Kota Ito, Yuji Aramaki, Toshihiko Yamasaki, Member, IEEE,
-nd Kiyoharu Aizawa, Senior Member, IEEE,"

 1f8304f4b51033d2671147b33bb4e51b9a1e16fe,Beyond Trees : MAP Inference in MRFs via OuterPlanar Decomposition,"Noname manuscript No.
 (will be inserted by the editor)
 Beyond Trees:
@@ -68993,11 +58338,6 @@ with Sequential Trajectory Prior
 Min Yang(B), Mingtao Pei, Jiajun Shen, and Yunde Jia
 Beijing Laboratory of Intelligent Information Technology, School of Computer
 Science, Beijing Institute of Technology, Beijing 100081, People’s Republic of China"

-1f53ca209f982500069fed73efe2345358eff79e,Pedestrian Detection with Deep Convolutional Neural Network,"Pedestrian Detection with Deep Convolutional
-Neural Network
-Xiaogang Chen, Pengxu Wei, Wei Ke, Qixiang Ye, Jianbin Jiao
-School of Electronic,Electrical and Communication Engineering, University of
-Chinese Academy of Science, Beijing, China"

 1fd8c71a8859da611a8fde1cbb2bba1c7cf00b4c,EYEDIAP: a database for the development and evaluation of gaze estimation algorithms from RGB and RGB-D cameras,"This paper was presented at the 2014 Symposium on Eye Tracking Research & Applications 2014
 EYEDIAP: A Database for the Development and Evaluation of Gaze Estimation
 Algorithms from RGB and RGB-D Cameras
@@ -69055,9 +58395,6 @@ Universidad de Las Palmas de Gran Canaria, Spain"
 Facial Expression Classification Method Based on Pseudo
 Zernike Moment and Radial Basis Function Network
 Tran Binh Long, Le Hoang Thai, and Tran Hanh"

-4dd72cdafead8a98dbc77a1a74bd66ffb90d3e01,Virtual and Real World Adaptation for Pedestrian Detection,"Virtual and Real World Adaptation for
-Pedestrian Detection
-David V ´azquez, Antonio M. L ´opez, Member, IEEE, Javier Mar´ın, Daniel Ponsa, David Ger ´onimo"

 4dff517b1578dec9155936f29aa9e8ca174e0804,Integrated Object Segmentation and Tracking for 3D LIDAR Data,

 4d5a12fe88e35bb5c4a556a6b2598f7dd5284f46,Sentence transition matrix: An efficient approach that preserves sentence semantics,"Sentence transition matrix: An efficient approach that preserves
 sentence semantics
@@ -69107,23 +58444,11 @@ School of Science, Maefahluang University
 Department of Computer Engineering, Rajabhat Chiangmai University
 02 ChangPuek, Muang Chiangmai 50300, Thailand
 E-mail:"

-4d510bca00b625f86606cb0096299b993090534a,Small Sample Learning in Big Data Era,"Small Sample Learning in Big Data Era
-Jun Shu
-Zongben Xu
-Deyu Meng
-School of Mathematics and Statistics
-Ministry of Education Key Lab of Intelligent Networks and Network Security
-Xi’an Jiaotong University, Xian, China"

 4d2975445007405f8cdcd74b7fd1dd547066f9b8,Image and Video Processing for Affective Applications,"Image and Video Processing
 for Affective Applications
 Maja Pantic and George Caridakis"

 4d7e1eb5d1afecb4e238ba05d4f7f487dff96c11,Largest center-specific margin for dimension reduction,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"

-4d9d25e67ebabbfc0acd63798f1a260cb2c8a9bd,Playing for Data: Ground Truth from Computer Games,"Playing for Data: Ground Truth from Computer Games
-Stephan R. Richter∗1 Vibhav Vineet∗2
-Stefan Roth1 Vladlen Koltun2
-TU Darmstadt
-Intel Labs"

 4dd2744a37bd1e666346a41dcd2a271945c74e2f,Human-Robot Teaming : Approaches from Joint Action and Dynamical Systems,"Human Robot Teaming: Approaches from Joint
 Action and Dynamical Systems
 Tariq Iqbal and Laurel D. Riek"

@@ -69257,10 +58582,6 @@ Mideplan, Chile (second and third author). A preliminary partial version of this
 Conference on Artificial Intelligence (MICAI 2005), pp. 405–414, LNAI Series vol. 3789.
 September 3, 2007
 DRAFT"

-4df34e0194faa27078832cb5078a2af6c9d0ea9b,Saliency Prediction in the Deep Learning Era: An Empirical Investigation,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Saliency Prediction in the Deep Learning Era:
-An Empirical Investigation
-Ali Borji, Member, IEEE"

 4d334cfafd11a93394917adcffef6c1d27aa178b,Refined Clustering technique based on boosting and outlier detection,"International Journal of Scientific & Engineering Research, Volume 6, Issue 11, November-2015                                                                                                 472
 ISSN 2229-5518
 Refined Clustering technique based on boosting
@@ -69280,26 +58601,6 @@ Huanhuan Yu, Menglei Hu and Songcan Chen"
 4d47261b2f52c361c09f7ab96fcb3f5c22cafb9f,Deep multi-frame face super-resolution,"Deep multi-frame face super-resolution
 Evgeniya Ustinova, Victor Lempitsky
 October 17, 2017"

-4d4b1aa87af8bfd65ac7bc250bba5951aed40986,A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery,"Sensors 2014, 14, 4189-4210; doi:10.3390/s140304189
-OPEN ACCESS
-sensors
-ISSN 1424-8220
-www.mdpi.com/journal/sensors
-Review
-A Survey on Model Based Approaches for 2D and 3D Visual
-Human Pose Recovery
-Xavier Perez-Sala 1
-,*, Sergio Escalera 2, Cecilio Angulo 3 and Jordi Gonz`alez 4
-Fundaci´o Privada Sant Antoni Abat, Vilanova i la Geltr´u, Universitat Polit`ecnica de Catalunya,
-Vilanova i la Geltr´u 08800, Catalonia, Spain
-Department Mathematics (MAIA), Universitat de Barcelona and Computer Vision Center (CVC),
-Barcelona 08007, Catalonia, Spain; E-Mail:
-Automatic Control Department (ESAII), Universitat Polit`ecnica de Catalunya,
-Vilanova i la Geltr´u 08800, Catalonia, Spain; E-Mail:
-Department Computer Science, Universitat Aut`onoma de Barcelona and Computer Vision Center
-(CVC), Bellaterra 08193, Catalonia, Spain; E-Mail:
-* Author to whom correspondence should be addressed; E-Mail:
-Received: 29 November 2013; in revised form: 30 January 2014 / Accepted: 9 February 2014 /"

 4df3143922bcdf7db78eb91e6b5359d6ada004d2,The Chicago face database: A free stimulus set of faces and norming data.,"Behav Res (2015) 47:1122–1135
 DOI 10.3758/s13428-014-0532-5
 The Chicago face database: A free stimulus set of faces
@@ -69372,10 +58673,6 @@ University of Udine, 33100 Udine, Italy
 University of Massatchussets Lowell, 01852 Lowell, MA, USA
 University of California Riverside, 92507 Riverside, CA, USA"

 1222705b626a33974e85985ddabfcea135e9ddce,k-fold Subsampling based Sequential Backward Feature Elimination,

-129a6daa54a7334930b6413875b6154acef3922a,Data-Driven Synthesis of Cartoon Faces Using Different Styles,"Data-Driven Synthesis of Cartoon
-Faces Using Different Styles
-Yong Zhang, Weiming Dong, Member, IEEE, Chongyang Ma, Xing Mei, Member, IEEE, Ke Li,
-Feiyue Huang, Bao-Gang Hu, Senior Member, IEEE, and Oliver Deussen"

 1267eae42798940c105355a9590363fb6560595b,From Coarse to Fine: Robust Hierarchical Localization at Large Scale,"From Coarse to Fine: Robust Hierarchical Localization at Large Scale
 Paul-Edouard Sarlin1 Cesar Cadena1 Roland Siegwart1 Marcin Dymczyk1,2
 Autonomous Systems Lab, ETH Z¨urich
@@ -69385,9 +58682,6 @@ Utsav Garg 1 Viraj Prabhu 2 Deshraj Yadav 2 Ram Ramrakhya 3 Harsh Agrawal 2 Dhru
 fabrik.cloudcv.org"

 12cd96a419b1bd14cc40942b94d9c4dffe5094d2,Leveraging Captions in the Wild to Improve Object Detection,"Proceedings of the 5th Workshop on Vision and Language, pages 29–38,
 Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics"

-123bc74a006a75fefcdd9995cbdc1c6c64c8bed6,Socially Constrained Structural Learning for Groups Detection in Crowd,"Socially Constrained Structural Learning for
-Groups Detection in Crowd
-Francesco Solera, Simone Calderara, Member, IEEE, and Rita Cucchiara, Fellow, IEEE"

 12b58a712396bc2fd74cd19a4d758d7b9c104c3f,Cross-Domain Recommendation in the Hotel Sector,"Cross-Domain Recommendation in the Hotel Sector
 Marie Al-Ghossein
 LTCI, T´el´ecom ParisTech
@@ -69410,16 +58704,6 @@ Joint Samsung-HSE lab
 12e80b3a89bc021a6352840fb4552df842a6fe7d,Fast sparse representation with prototypes,"Fast Sparse Representation with Prototypes
 Jia-Bin Huang and Ming-Hsuan Yang
 University of California at Merced"

-120e7a0e9e7bd0eaa248f04cf393a735832a5044,The Analysis of Local Motion and Deformation in Image Sequences Inspired by Physical Electromagnetic Interaction,"XIAODONG ZHUANG1,2 and N. E. MASTORAKIS1,3,4
-. WSEAS Research Department, Agiou Ioannou Theologou 17-23, 15773, Zografou,
-Athens, GREECE
-. Automation Engineering College, Qingdao University, Qingdao, 266071, CHINA
-. Department of Computer Science, Military Institutions of University Education,
-Hellenic Naval Academy, Terma Hatzikyriakou, 18539, Piraeus, GREECE
-http://www.wseas.org/mastorakis
-. Technical University of Sofia, BULGARIA
-The Analysis of Local Motion and Deformation in Image Sequences
-Inspired by Physical Electromagnetic Interaction"

 12ebb51d50f704b5d0a8d821e90dd336175ec8aa,TUHOI: Trento Universal Human Object Interaction Dataset,"Proceedings of the 25th International Conference on Computational Linguistics, pages 17–24,
 Dublin, Ireland, August 23-29 2014."

 1295cbaf3b03de2eb8c79530289f5939d7819e5c,DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations,"DeepFix: A Fully Convolutional Neural Network
@@ -69455,26 +58739,6 @@ temps réel, au moyen d’une simple webcam. A partir de
 vidéos du challenge AVEC’2014, nous avons entraîné un
 lassifieur neuronal à extraire des prototypes de visages
 selon différentes valeurs du score de dépression de Beck"

-12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,"016 International Conference on Computer Communication and Informatics (ICCCI -2016), Jan. 07 – 09, 2016, Coimbatore, INDIA
-Performance analysis of different Matrix
-decomposition methods on Face Recognition
-Dept. of Electronics and Communication Engineering
-Dept. of Electronics and Communication Engineering
-Suresh Babu K and K B Raja
-UVCE, Bengaluru, India
-the  recognition  accuracy
-image  and  known  stored  images  in  terms  of  dimension
-reduced  images  is  made  to  declare  identity  of  a  person.  It  is
-proved
-improved  by
-onverting the images  with variation in expression to neutral
-images [5] and using image fusion with light field camera for
-image  capturing  [6].  Maintaining  robustness  in  recognition
-ccuracy is elusive for key factors such as pose [7], back view
-illumination  variation  [9]  and  others.  Developing
-illumination invariant image  representation  with textures is a
-difficult  task  and  pre-processing  methods  for  mitigating  the
-illumination  effect  are  discussed  in  future  sections  of  this"

 12ff1c48f5776fda9d156c7b324af3f2674420a9,Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?,

 129ac698f62ca7f9024423671f4128d83a0c3c66,Image Matching Scheme by using Bhattacharyya Coefficient Algorithm,"ISSN(Online): 2320-9801
 ISSN (Print):  2320-9798
@@ -69515,11 +58779,6 @@ April 5, 2007"
 12149fc431d2b3ec4d1f194e92e74c765e51ee67,Concentration in unbounded metric spaces and algorithmic stability,"Concentration in unbounded metric spaces and algorithmic stability
 Aryeh Kontorovich
 Department of Computer Science, Ben-Gurion University, Beer Sheva 84105, ISRAEL"

-12055b8f82d5411f9ad196b60698d76fbd07ac1e,Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns,"Multiview Facial Landmark Localization in RGB-D
-Images via Hierarchical Regression
-With Binary Patterns
-Zhanpeng Zhang, Student Member, IEEE, Wei Zhang, Member, IEEE, Jianzhuang Liu, Senior Member, IEEE,
-nd Xiaoou Tang, Fellow, IEEE"

 12ebeb2176a5043ad57bc5f3218e48a96254e3e9,Traffic Road Sign Detection and Recognition for Automotive Vehicles,"International Journal of Computer Applications (0975 – 8887)
 Volume 120 – No.24, June 2015
 Traffic Road Sign Detection and Recognition for
@@ -69572,17 +58831,6 @@ Feature Affinity based Pseudo Labeling for
 Semi-supervised Person Re-identification
 Guodong Ding, Shanshan Zhang, Salman Khan, Zhenmin Tang, Jian Zhang, Senior Member, IEEE and Fatih
 Porikli, Fellow, IEEE"

-12d0c11d546d91e776a170898ebf3a38c010695c,Semi-Supervised Hashing for Large-Scale Search,"Semi-Supervised Hashing for Large Scale
-Search
-Jun Wang, Member, IEEE, Sanjiv Kumar, Member, IEEE, and Shih-Fu Chang, Fellow, IEEE"

-12727bb8a4a1462553a13a253a97c2569cbcba0a,Study on Different Representation Methods for Subspace Segmentation,"International Journal of Grid Distribution Computing
-Vol.8, No.1 (2015), pp.259-268
-http://dx.doi.org/10.14257/ijgdc.2015.8.1.24
-Study on Different Representation Methods for Subspace
-Segmentation
-Jiangshu Wei, Mantao Wang and Qianqian Wu
-College of Information and Engineering, Sichuan Agricultural University, Ya’an,
-625014, China"

 12fd613bc68101176d8fdf1b28d4d6fb3e3fec6f,Training a Scene-Specific Pedestrian Detector Using Tracklets,"Training a Scene-Specific Pedestrian Detector Using Tracklets
 Yunxiang Mao
 Zhaozheng Yin
@@ -69595,26 +58843,6 @@ University of California, Berkeley - Berkeley, CA 94720"
 Arvind Agarwal
 Jeff M. Phillips†
 Suresh Venkatasubramanian‡"

-124476c2815bbfb523c77943c74356f94f79b580,Recognition of Faces in Unconstrained Environments: A Comparative Study,"Hindawi Publishing Corporation
-EURASIP Journal on Advances in Signal Processing
-Volume 2009, Article ID 184617, 19 pages
-doi:10.1155/2009/184617
-Research Article
-Recognition of Faces in Unconstrained Environments:
-A Comparative Study
-Javier Ruiz-del-Solar, Rodrigo Verschae, and Mauricio Correa
-Department of Electrical Engineering, Universidad de Chile, Avenida Tupper 2007, 837-0451 Santiago, Chile
-Correspondence should be addressed to Javier Ruiz-del-Solar,
-Received 10 October 2008; Revised 31 January 2009; Accepted 13 March 2009
-Recommended by Kevin Bowyer
-The aim of this work is to carry out a comparative study of face recognition methods that are suitable to work in unconstrained
-environments. The analyzed methods are selected by considering their performance in former comparative studies, in addition to
-e real-time, to require just one image per person, and to be fully online. In the study two local-matching methods, histograms
-of LBP features and Gabor Jet descriptors, one holistic method, generalized PCA, and two image-matching methods, SIFT-
-ased and ERCF-based, are analyzed. The methods are compared using the FERET, LFW, UCHFaceHRI, and FRGC databases,
-which allows evaluating them in real-world conditions that include variations in scale, pose, lighting, focus, resolution, facial
-expression, accessories, makeup, occlusions, background and photographic quality. Main conclusions of this study are: there is
-large dependence of the methods on the amount of face and background information that is included in the face’s images,"

 126be977c03d732fbef2381565a41b957d41a2cc,Discourse-Level Language Understanding with Deep Learning,

 12c262912f4c09e6f34d40de77f68b465d80ac8d,Adaptive Graph Guided Embedding for Multi-label Annotation,"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)
 FurOutdoorMentalHumanmadeBrownFur(cid:1850)(cid:3039)(cid:1850)(cid:3048)WaterOutdoorWaterTreesFigure1:Frameworkofourmodel,whereanadaptiveaffinitygraphSconnectspair-wiserelationsacrosslabeledandunlabeledsamples.Apre-definedgraphfullyprovideslocalstructureinformationandacceleratesoptimizationprocess.AprojectionPprojectsdataintoacommonanddistinctivespacewhichalsoeliminatesinterruptionsfromnoiseandoutliers.P,S,andlabelmatrixFaresimultaneouslyupdatedtoachieveaccurateandrobustperformance.performance.Consequently,semi-supervisedlearning[Zhuetal.,2003]especiallygraph-basedapproach[Zhaetal.,2009]hasattractedgreatattention.However,theystillhavelimitationsthatthesemethodshighlydependonthepre-constructedgraphbutrarelyoptimizeitonline.Inaddi-tion,mostmethodsconstructgraphdirectlyonfeaturespace,whichissensitivetonoiseandoutliers.Severalworkuti-lizeadaptivegraphstohandletheproblem[Nieetal.,2012;2016].However,thesemethodsmainlyfocusonsingle-labelclassificationinsteadofmulti-labelscenario.Tothisend,weproposeanovelAdaptiveGraphGuidedEmbedding(AG2E)formulti-labellearninginsemi-supervisedfashion.Figure1showstheframeworkofAG2E,whosecoreideaislearningasemi-supervisedlabelpropaga-tionandaneffectiveembeddingsimultaneouslytoseekala-tentspace,andthusunlabeledimagescanbewellrecovered.Ourmaincontributionsaresummarizedasfollows:(cid:15)Weseekanadaptivegraphtoautomaticallycapturethelatentstructureofthedata.Moreover,apre-defined"

@@ -69674,26 +58902,6 @@ Dhruv Mahajan
 Yahoo! Labs Bangalore
 S. Sundararajan
 Yahoo! Labs Bangalore"

-120b22e7a47923e42a123b9b68a93ccac5aaea6d,Paper on Ear Biometric Authentication,"Research Article                                                                                                                           Volume 6 Issue No.10
-ISSN XXXX XXXX © 2016 IJESC
-Review Paper on Ear Biometric Authentication
-Shubham Mohurle 1, See ma Khutwad 2, Pratiksha Kunjir3, Anjali Bhosle4
-Assistant Professor4
-KJCOEM R, Pune, India
-Abstrac t:
-In this paper we have studied about ear bio metric  authentication. Powe rful bio metrics likes fingerprint, face  and iris are used while
-omparing  the  new  biometric  technology  that  is  human  ear  recognition.  We  are studied  different  methods  like  2D  ear  reco gnition,
-Pattern extract ion method, robust algorithm, Pixe l based feature extraction.  Genetic algorith m  is the solution to all proble ms faced  by
-these methods. Recognition Rate for t ime series  modeling is 99% obtained.AR  model is used for time series  modeling.  All  methods
-re discussed later.
-Ke ywor ds:  Ear, Recognition Rate, 2D image, AR model
-During crime  investigation, in the absence of (valid) fingerprints
-nd  footprints  ear  ma rks  are   used  for  identification.  Just  like
-fingerprints,  use  of  ear  shapes  recommends  its  use  for  human
-identification.  An  ear  recognition  system  is  simila r  to  face
-recognition  system  and  which  has  five  components:  image
-cquisition, preprocessing, feature extraction,  model training and
-template  matching. Du ring image  gaining, an image of the ear is"

 12c7ecbfd714c160d2a6bb9cf03fa8b88e8da62b,Impaired Recognition of Basic Emotions from Facial Expressions in Young People with Autism Spectrum Disorder: Assessing the Importance of Expression Intensity.,"Griffiths, S. L., Jarrold, C., Penton-Voak, I., Woods, A., Skinner, A., &
 Munafo, M. (2017). Impaired Recognition of Basic Emotions from Facial
 Expressions in Young People with Autism Spectrum Disorder: Assessing the
@@ -69714,17 +58922,6 @@ General rights
 This document is made available in accordance with publisher policies. Please cite only the published
 version using the reference above. Full terms of use are available:
 http://www.bristol.ac.uk/pure/about/ebr-terms.html"

-12d813f14166578dea8aa6aacc945102dddfd05d,Fog Computing in 5 G Networks : An Application Perspective,"“fog˙5g˙full”
-016/5/4
-page 1
-Chapter 1
-Fog Computing in 5G Networks: An Application
-Perspective
-Harshit Gupta1, Sandip Chakraborty1, Soumya K. Ghosh1,
-nd Rajkumar Buyya2
-Department of Computer Science and Engineering, IIT
-CLOUDS Laboratory, University of Melbourne, Australia
-Kharagpur, India"

 1287bfe73e381cc8042ac0cc27868ae086e1ce3b,Computational Mid-Level Vision: From Border Ownership to Categorical Object Recognition,

 12831caca9674e0ab3fe2fc02a447ddb5a372994,Deep Aesthetic Quality Assessment With Semantic Information,"Deep Aesthetic Quality Assessment with Semantic
 Information
@@ -69758,18 +58955,6 @@ Bruna Vieira Frade
 Erickson R. Nascimento
 Universidade Federal de Minas Gerais (UFMG), Brazil
 {brunafrade,"

-280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,"International Journal of Signal Processing, Image Processing and Pattern Recognition
-Vol.8, No.12 (2015), pp.107-120
-http://dx.doi.org/10.14257/ijsip.2015.8.12.12
-Visual Tracking with Online Incremental Deep Learning and
-Particle Filter
-Shuai Cheng 1, Yonggang Cao3,1, Junxi Sun2 and Guangwen Liu1*
-School of Electronic Information Engineering, Changchun University of Science
-School of Computer Science and information Technology, Northeast Normal
-nd Technology, Changchun, China
-Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of
-University, Changchun, China
-Sciences, Changchun, China"

 28103f6c09fd64c90a738076b0681400d4d31c9f,Color Invariants for Person Reidentification,"Color Invariants for Person
 Re-Identification
 Igor Kviatkovsky
@@ -69786,30 +58971,7 @@ Departamento de Tecnologia Fotonica
 Campus de Monteganedos/n
 8660 Boadilla del Monte (Spain)
 e-mail: {aruiz,"

-288bddfabe739b32721df62d821632e3dafed06a,Robust multi-image based blind face hallucination,"Robust Multi-Image Based Blind Face Hallucination
-Yonggang Jin, 2Christos-Savvas Bouganis
-University of Bristol. 2Imperial College London.
-1.56 0.73
-3.15 0.80
-3.61 0.82
-3.32 0.80
-3.98 0.83
-3.63 0.82
-PCA-Init
-PCA-Est
-PCA-GT
-MPPCA-Est MPPCA-GT
-Methods
-Blurring
-Trans.
-9.67
-Initial
-9.52
-[1, 5]"

 28d65e4d72638983fbc723b102d78b10587c06aa,Low Resolution Sparse Binary Face Patterns,

-28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b,A New Fuzzy Stacked Generalization Technique and Analysis of its Performance,"A New Fuzzy Stacked Generalization Technique
-nd Analysis of its Performance
-Mete Ozay, Student Member, IEEE, Fatos T. Yarman Vural, Member, IEEE"

 286c1e0b34ee6d40706ca6a02604420a192204e7,An overview of NuDetective Forensic Tool and its usage to combat child pornography in Brazil,"An overview of NuDetective Forensic Tool and its usage
 to combat child pornography in Brazil
 Pedro Monteiro da Silva Eleuterio and Mateus de Castro Polastro
@@ -69846,30 +59008,12 @@ Queensgate, Huddersfield, HD1 3DH, United Kingdom"
 Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
 Virginia Tech
 {jiasenlu, jw2yang, dbatra,"

-285faa4cc54ef9b1834128705e0f96ad17b61e0b,SIFT Flow: Dense Correspondence across Scenes and Its Applications,"SIFT Flow: Dense Correspondence across
-Scenes and its Applications
-Ce Liu, Member, IEEE, Jenny Yuen, Student Member, IEEE, and Antonio Torralba, Member, IEEE"

 28e77337bcb88e37d36f5660709a53e71377a2a8,5 Discriminative Cluster Analysis,",250+OPEN ACCESS BOOKS106,000+INTERNATIONALAUTHORS AND EDITORS112+ MILLIONDOWNLOADSBOOKSDELIVERED TO151 COUNTRIESAUTHORS AMONGTOP 1%MOST CITED SCIENTIST12.2%AUTHORS AND EDITORSFROM TOP 500 UNIVERSITIESSelection of our books indexed in theBook Citation Index in Web of Science™Core Collection (BKCI)Chapter from the book Theory and Novel Applications of Machine LearningDownloaded from:http://www.intechopen.com/books/theory_and_novel_applications_of_machine_learningPUBLISHED BYWorld's largest Science,Technology & Medicine Open Access book publisherInterested in publishing with InTechOpen?Contact us at"

 286ea63b1b5df1b8b67718f25b47357ec3168e97,Human parsing using stochastic and-or grammars and rich appearances,"Human Parsing using Stochastic And-Or
 Grammars and Rich Appearances
 Brandon Rothrock and Song-Chun Zhu
 UCLA Dept. of Computer Science
 Thursday, November 17, 11"

-28fe6e785b32afdcd2c366c9240a661091b850cf,Facial Expression Recognition using Patch based Gabor Features,"International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868
-Foundation of Computer Science FCS, New York, USA
-Volume 10 – No.7, March 2016 – www.ijais.org
-Facial Expression Recognition using Patch based Gabor
-Features
-Electronics & Telecommunication Engg
-Electronics & Telecommunication Engg
-St. Francis Institute of Technology
-St. Francis Institute of Technology
-Vaqar Ansari
-Department
-Mumbai, India
-Anju Chandran
-Department
-Mumbai, India"

 28f5f8dc2f2f9f2a4e49024fe6aa7e9a63b23ab0,Vision-based bicycle detection and tracking using a deformable part model and an EKF algorithm,"Vision-based Bicycle Detection and Tracking using a Deformable Part
 Model and an EKF Algorithm
 Hyunggi Cho, Paul E. Rybski and Wende Zhang"

@@ -69957,16 +59101,6 @@ Robert Bosch, Computer Vision Lab, Hildesheim, Germany,
 Institute of Photogrammetry and GeoInformation, Leibniz Universit¨at Hannover, Germany
 Commission II
 KEY WORDS: Person Re-Identification, PRID, Bifocal Stereo, Multipath Person Re-Identification"

-28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,"Imagination Based Sample Construction for Zero-Shot Learning
-Gang Yang
-Renmin University of China
-Beijing, China
-Jinlu Liu
-Renmin University of China
-Beijing, China
-Xirong Li∗
-Renmin University of China
-Beijing, China"

 2805daf3795e4e153d79dbecfe88b830ddc068d3,Articulated human motion tracking with foreground learning,"ARTICULATED HUMAN MOTION TRACKING WITH FOREGROUND LEARNING
 Aichun Zhu1, Hichem Snoussi1, Abel Cherouat2
 ICD - LM2S - Universit´e de Technologie de Troyes (UTT) - UMR STMR CNRS
@@ -70042,16 +59176,6 @@ Naomi Saphra2
 Sammy Mohamed9
 Iasonas Kokkinos3
 Karen Simonyan1"

-28a3673e57839ab75fe1c05ce2a4c1a00a7efe76,Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework,"Towards Automatic Report Generation in Spine
-Radiology using Weakly Supervised Framework
-Zhongyi Han1,2, Benzheng Wei1,2,∗, Stephanie Leung3,4, Jonathan Chung3,4,
-nd Shuo Li3,4,∗
-College of Science and Technology, Shandong University of Traditional Chinese
-Medicine, Jinan, Shandong, China
-Computational Medicine Lab (CML), Shandong University of Traditional Chinese
-Department of Medical Imaging, Western Univeristy, London, ON, Canada
-Medicine, Jinan, Shandong, China
-Digital Imaging Group (DIG), London, ON, Canada"

 28795f32b324eb3601e9a8c1ce93335691e120f3,CliqueCNN: Deep Unsupervised Exemplar Learning,"CliqueCNN: Deep Unsupervised Exemplar Learning
 Miguel A. Bautista∗, Artsiom Sanakoyeu∗, Ekaterina Sutter, Björn Ommer
 Heidelberg Collaboratory for Image Processing
@@ -70204,33 +59328,9 @@ Chebrolu(V&M),Guntur(Dt),
 Andhra Pradesh - India
 Chebrolu(V&M),Guntur(Dt),
 Andhra Pradesh - India"

-162403e189d1b8463952fa4f18a291241275c354,Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences,"Action Recognition with Spatio-Temporal
-Visual Attention on Skeleton Image Sequences
-Zhengyuan Yang, Student Member, IEEE, Yuncheng Li, Jianchao Yang, Member, IEEE,
-nd Jiebo Luo, Fellow, IEEE
-With a strong ability of modeling sequential data, Recur-
-rent Neural Networks (RNN) with Long Short-Term Memory
-(LSTM) neurons outperform the previous hand-crafted feature
-ased methods [9], [10]. Each skeleton frame is converted into
-feature vector and the whole sequence is fed into the RNN.
-Despite the strong ability in modeling temporal sequences,
-RNN structures lack the ability to efficiently learn the spatial
-relations between the joints. To better use spatial information,
-hierarchical structure is proposed in [11], [12] that feeds
-the joints into the network as several pre-defined body part
-groups. However,
-limit
-the effectiveness of representing spatial relations. A spatio-
-temporal 2D LSTM (ST-LSTM) network [13] is proposed
-to learn the spatial and temporal relations simultaneously.
-Furthermore, a two-stream RNN structure [14] is proposed to"

 161c9ef7114bda7c5a60a29ee4a3161b0a76e676,Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes,"Low rank approximation and decomposition of
 large matrices using error correcting codes
 Shashanka Ubaru, Arya Mazumdar Senior Member, IEEE, and Yousef Saad"

-16d1e29b588fd26f5f0ac8038110f7b8500a1ec9,$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis,"L0 Regularized Stationary-Time Estimation
-for Crowd Analysis
-Shuai Yi, Xiaogang Wang, Member, IEEE, Cewu Lu, Member, IEEE,
-Jiaya Jia, Senior Member, IEEE, and Hongsheng Li"

 166b5bdea1f4f850af5b045a953d6de74bc18d1e,Best of both worlds: Human-machine collaboration for object annotation,"Best of both worlds: human-machine collaboration for object annotation
 Olga Russakovsky1, Li-Jia Li2, Li Fei-Fei1
 Stanford University. 2Snapchat (this work was done while at Yahoo! Labs).
@@ -70258,14 +59358,6 @@ For additional information about this publication click this link.
 http://repository.ubn.ru.nl/handle/2066/126858
 Please be advised that this information was generated on 2018-10-16 and may be subject to
 hange."

-16bd796687ca17ac7ca28d28d856b324186628ba,Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation,"Face Recognition and Verification Using
-Photometric Stereo: The Photoface Database
-nd a Comprehensive Evaluation
-Stefanos Zafeiriou, Member, IEEE, Gary A. Atkinson, Mark F. Hansen, William A. P. Smith, Member, IEEE,
-Vasileios Argyriou, Member, IEEE, Maria Petrou, Senior Member, IEEE, Melvyn L. Smith, and Lyndon N. Smith"

-166f42f66c5e6dd959548acfb97dc77a36013639,Bilevel Model-Based Discriminative Dictionary Learning for Recognition,"Bilevel Model-Based Discriminative Dictionary
-Learning for Recognition
-Pan Zhou, Chao Zhang, Member, IEEE, and Zhouchen Lin, Senior Member, IEEE"

 1670729d1edc9bc6103ee823f1137d302be41397,Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures,"Patch-based Object Recognition Using
 Discriminatively Trained Gaussian Mixtures
 Andre Hegerath, Thomas Deselaers, and Hermann Ney
@@ -70273,18 +59365,6 @@ Human Language Technology and Pattern Recognition Group,
 RWTH Aachen University – D-52056 Aachen, Germany
 {hegerath, deselaers,"

 16597862a1df1a983c439e82e0462424f538bb48,Personalized Saliency and its Prediction,

-16fdc3829dc8322a26eac46e93703000005f3d6d,An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,"An Occlusion Reasoning Scheme for Monocular
-Pedestrian Tracking in Dynamic Scenes
-Sourav Garg and Swagat Kumar
-Innovation Lab
-Tata Consultancy Services
-New Delhi, India 201301
-Email:
-Rajesh Ratnakaram and Prithwijit Guha
-Department of Electronics and Electrical Engineering
-Indian Institute of Technology Guwahati
-Guwahati, Assam, India 781039
-Email:"

 16d9b983796ffcd151bdb8e75fc7eb2e31230809,GazeDirector : Fully Articulated Eye Gaze Redirection in Video,"EUROGRAPHICS 2018 / D. Gutierrez and A. Sheffer
 (Guest Editors)
 Volume 37 (2018), Number 2
@@ -70294,21 +59374,7 @@ ID: paper1004"
 Ankesh Anand1 Eugene Belilovsky1 Kyle Kastner1 Hugo Larochelle2,1 Aaron Courville1,3
 Mila
 Google Brain 3CIFAR Fellow"

-169927e68301d881da6585dd09e1bc9a88adf147,AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition,"A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic
-Audio-Visual Speech Recognition
-Alfonso Ortega1, Federico Sukno2, Eduardo Lleida1,
-Alejandro Frangi2, Antonio Miguel1, Luis Buera1, Ernesto Zacur2
-Communication Technologies Group and 2Computer Vision Group
-Aragon Institute of Engineering Research (I3A)
-University of Zaragoza, Spain"

 16e8d439fbcf8311efea7b0baeb1a5340272b396,Stereo and LIDAR Fusion based Detection of Humans and Other Obstacles in Farming Scenarios,

-160ab0e879f4451fa4df88cd567508150894ba9d,Cross Dataset Person Re-identification,"Cross Dataset Person Re-identification
-Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li(cid:63)
-Center for Biometrics and Security Research
-National Laboratory of Pattern Recognition
-Institute of Automation, Chinese Academy of Sciences (CASIA)
-95 Zhongguancun East Road, 100190, Beijing, China
-{yhu, dong.yi, scliao, zlei,"

 16c884be18016cc07aec0ef7e914622a1a9fb59d,Exploiting Multimodal Data for Image Understanding. (Données multimodales pour l'analyse d'image),"UNIVERSITÉ DE GRENOBLE
 No attribué par la bibliothèque
 THÈSE
@@ -70398,9 +59464,6 @@ The Institute for Information Transmission Problems RAS (Kharkevich Institute)
 National Research University Higher School of Economics (HSE)"

 16022f7f0cf6492fdc3cf768c9f474791ae3d0ca,Detecting Traffic Lights by Single Shot Detection,"Detecting Traffic Lights by Single Shot Detection
 Julian M¨uller1 and Klaus Dietmayer1"

-16bd481fb66259df9c4c22b54797d8e8adc910fc,Robustifying Descriptor Instability Using Fisher Vectors,"Robustifying Descriptor Instability
-using Fisher Vectors
-Ivo Everts, Jan C. van Gemert, Thomas Mensink, Theo Gevers, Member, IEEE"

 16aec3ee9a97162b85b1d51c3c5ce73a472e74b8,Application of Selective Search to Pose estimation,"Application of Selective Search to Pose estimation
 Ujwal Krothapalli
 Department of Electrical and
@@ -70509,30 +59572,12 @@ A dissertation submitted to the University of Bristol in accordance with the
 requirements for the degree of Doctor of Philosophy in the Faculty of Engineering,
 Department of Computer Science.
 July 2009"

-f79ab9baccd466d86460214c5cee9f3be0af4064,Image Segmentation of Medical Images using Automatic Fuzzy C-Mean Clustering,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 03, 2015 | ISSN (online): 2321-0613
-Image Segmentation of Medical Images using Automatic Fuzzy C-Mean
-Clustering
-Padmini Umorya1 Rajesh Singh2
-Research Scholar 2Assistant Professor
-,2Department of Computer Science and Engineering
-,2NITM College Gwalior, India"

 f79267b0f4c0110051c93f9faabe436215e4fc28,Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector,"Selective Feature Connection Mechanism:
 Concatenating Multi-layer CNN Features with a Feature Selector
 Chen Du1,2, Chunheng Wang1, Cunzhao Shi1, Baihua Xiao1
 Institute of Automation, Chinese Academy of Sciences(CASIA)
 University of Chinese Academy of Sciences(UCAS)
 {duchen2016, chunheng.wang, cunzhao.shi,"

-f73b15d33b9dcf329cf605815be7493b162b1fab,SLMotion - An extensible sign language oriented video analysis tool,"SLMotion – An extensible sign language oriented video analysis tool
-Matti Karppa∗, Ville Viitaniemi∗, Marcos Luzardo∗, Jorma Laaksonen∗, Tommi Jantunen†
-Department of Information and Computer Science,
-Aalto University School of Science, Espoo, Finland,
-Sign Language Centre, Department of Languages,
-University of Jyv¨askyl¨a, Finland,
-We present a software toolkit called SLMotion which provides a framework for automatic and semiautomatic analysis, feature extraction
-nd annotation of individual sign language videos, and which can easily be adapted to batch processing of entire sign language corpora.
-The program follows a modular design, and exposes a Numpy-compatible Python application programming interface that makes it easy
-nd convenient to extend its functionality through scripting. The program includes support for exporting the annotations in ELAN
-format. The program is released as free software, and is available for GNU/Linux and MacOS platforms."

 f7dcadc5288653ec6764600c7c1e2b49c305dfaa,Interactive Image Search with Attributes by,"Copyright
 Adriana Ivanova Kovashka"

 f724cbf5035e2df0dbe9a4992a0100465f5c6db5,Scalable Multicore k-NN Search via Subspace Clustering for Filtering,"Parallel Graph Partitioning for Complex Networks
@@ -70547,11 +59592,6 @@ Fatemeh Sadat Saleh1,2[0000−0002−3695−9876], Mohammad Sadegh
 Aliakbarian1,2,3[0000−0003−3948−6418], Mathieu Salzmann4[0000−0002−8347−8637],
 Lars Petersson2[0000−0002−0103−1904], and Jose M. Alvarez5[0000−0002−7535−6322]
 ANU, 2 Data61-CSIRO, 3 ACRV, 4 CVLab, EPFL, 5 NVIDIA"

-f755d9b2b7ef66ffdf7504b34167b95d0685c18d,Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition,"Efficient Online Subspace Learning With
-n Indefinite Kernel for Visual
-Tracking and Recognition
-Stephan Liwicki, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE,
-Georgios Tzimiropoulos, Member, IEEE, and Maja Pantic, Fellow, IEEE"

 f7ecc9df67e9d33543c68fb150270e9f7af8814a,Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences,"Simultaneous optimization of epipolar geometry and feature correspondences
 Joint Epipolar Tracking (JET):
 Henry Bradler1, Matthias Ochs1, Nolang Fanani1
@@ -70560,22 +59600,6 @@ Goethe University, Frankfurt, Germany
 Rudolf Mester1,2
 Computer Vision Laboratory, ISY
 Link¨oping University, Sweden"

-f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,"International Journal of Electronics Communication and Computer Technology (IJECCT)
-Volume 5 Issue 2 (March 2015)
-Emotion Detection Using EEG Signal Analysis
-‘Review’
-K.S. Bhagat
-Assistant Professor,
-Dr. P.M. Mahajan
-Assistant Professo,
-Gunjal P. Waghulade
-M.E. IVth Semester,
-J.T. Mahajan College of ngineering,
-J.T. Mahajan College of ngineering,
-J.T. Mahajan College of ngineering,
-Faizpur, India
-Faizpur, India
-Faizpur, India"

 f7186eb3d717694d4ab1730a8d0f662e90c44d6f,A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding,"Proceedings of the The 8th International Joint Conference on Natural Language Processing, pages 214–223,
 Taipei, Taiwan, November 27 – December 1, 2017 c(cid:13)2017 AFNLP"

 f795b4ff67d3ecce0b988ecfc0589cc7e54f5dfa,Grounded Human-Object Interaction Hotspots from Video,"Grounded Human-Object Interaction Hotspots from Video
@@ -70588,25 +59612,6 @@ Facebook AI Research"
 f77c9bf5beec7c975584e8087aae8d679664a1eb,Local Deep Neural Networks for Age and Gender Classification,"Local Deep Neural Networks for Age and Gender Classification
 Zukang Liao, Stavros Petridis, Maja Pantic
 March 27, 2017"

-f75852386e563ca580a48b18420e446be45fcf8d,ILLUMINATION INVARIANT FACE RECOGNITION,"ILLUMINATION INVARIANT FACE RECOGNITION
-Raghuraman Gopalan
-ENEE 631: Digital Image and Video Processing
-Instructor: Dr. K. J. Ray Liu
-Term Project - Spring 2006
-INTRODUCTION
-The  performance  of  the  Face  Recognition  algorithms  is  severely  affected  by  two
-important  factors:  the  change  in  Pose  and  Illumination  conditions  of  the  subjects.  The
-hanges in Illumination conditions of the subjects can be so drastic that, the variation in
-lighting will be of the similar order as that of the variation due to the change in subjects
-[1] and this can result in misclassification.
-For example, in the acquisition of the face of a person from a real time video, the
-mbient  conditions  will  cause  different  lighting  variations  on  the  tracked  face.  Some
-examples  of  images  with  different  illumination  conditions  are  shown  in  Fig.  1.  In  this
-project, we study some algorithms that are capable of performing Illumination Invariant
-Face Recognition. The performances of these algorithms were compared on the CMU-
-Illumination dataset [13], by using the entire face as the input to the algorithms. Then, a
-model  of  dividing  the  face  into  four  regions  is  proposed  and  the  performance  of  the
-lgorithms on these new features is analyzed."

 f774f80fa4b5a8760084921f093730da519c6681,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms
 {tag}                                                 {/tag}
 International Journal of Computer Applications
@@ -70716,11 +59721,6 @@ Bruce Hwy
 North Rockhampton
 QLD 4701
 Australia"

-f727837e03a039d9bcec6d02cd87256f5a5854a4,"Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning","Deep Convolutional Neural Networks for
-Computer-Aided Detection: CNN Architectures,
-Dataset Characteristics and Transfer Learning
-Hoo-Chang Shin, Member, IEEE, Holger R. Roth, Mingchen Gao, Le Lu, Senior Member, IEEE, Ziyue Xu,
-Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M. Summers*"

 64b78b6f13c321da77e3770a748772fa837aa8c8,Parallel Architecture for Face Recognition using MPI,"(IJACSA) International Journal of Advanced Computer Science and Applications,
 Vol. 8, No. 1, 2017
 Parallel Architecture for Face Recognition using MPI
@@ -70814,13 +59814,6 @@ Ramazan Gokberk Cinbis
 Jakob Verbeek Cordelia Schmid
 LEAR, INRIA Grenoble - Rhˆone-Alpes, France
 Laboratoire Jean Kuntzmann"

-6412d8bbcc01f595a2982d6141e4b93e7e982d0f,"Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition","Deep Convolutional Neural Network using Triplets of Faces, Deep Ensemble, and
-Score-level Fusion for Face Recognition
-Bong-Nam Kang, Student Member, IEEE1, Yonghyun Kim, Student Member, IEEE2, and
-Daijin Kim, Member, IEEE2
-Department of Creative IT Engineering, POSTECH, Korea
-Department of Computer Science and Engineering, POSTECH, Korea
-{bnkang, gkyh0805,"

 6475c1e95da0a3bd36786a32d00a893d85460e9e,Combined image- and world-space tracking in traffic scenes,"Combined Image- and World-Space Tracking in Traffic Scenes
 Aljoˇsa Oˇsep, Wolfgang Mehner, Markus Mathias, and Bastian Leibe"

 64d1fcc26c2af47c8ed7436fe91546ba5bfc7a1f,Disentangling Multiple Conditional Inputs in GANs,"Disentangling Multiple Conditional Inputs in GANs
@@ -70848,12 +59841,6 @@ Random Variables Observed on a Lattice Graph
 T. Tony Cai∗ and Ming Yuan†
 University of Pennsylvania and Georgia Institute of Technology
 November 3, 2012"

-6403117f9c005ae81f1e8e6d1302f4a045e3d99d,"A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.","A Systematic Evaluation and Benchmark for
-Person Re-Identification: Features, Metrics, and
-Datasets
-Srikrishna Karanam∗, Student Member, IEEE, Mengran Gou∗, Student Member, IEEE,
-Ziyan Wu, Member, IEEE, Angels Rates-Borras, Octavia Camps, Member, IEEE,
-nd Richard J. Radke, Senior Member, IEEE"

 641fd2edcf93fa29181952356e93a83a26012aa2,Following are some examples from CIFAR dataset : Goal : To alter the training criteria to obtain ‘ objectness ’ in the synthesis of images,"Published as a conference paper at ICLR 2017
 IMPROVING GENERATIVE ADVERSARIAL NETWORKS
 WITH DENOISING FEATURE MATCHING
@@ -70962,11 +59949,6 @@ EPFL, Switzerland
 Universidad Rey Juan Carlos, Spain"

 6497eb53fd7d3ff09190566be8099016fb49f801,Biometric Sensor Interoperability: A Case Study in 3D Face Recognition,

 64a336f952ec67f85fe00092847d50dd29e4cddc,Fast Screening Algorithm for Template Matching FAST SCREENING ALGORITHM FOR TEMPLATE MATCHING,Fast Screening Algorithm for Template Matching

-641f9c87356c0829e690272b010848242058b8bc,Object Co-Detection via Efficient Inference in a Fully-Connected CRF,"Object Co-detection via Ef‌f‌icient Inference
-in a Fully-Connected CRF(cid:2)
-Zeeshan Hayder, Mathieu Salzmann, and Xuming He
-Australian National University (ANU)
-NICTA, Canberra, Australia"

 64cac22210861d4e9afb00b781da90cf99f9d19c,Facial Landmark Detection for Manga Images,"Noname manuscript No.
 (will be inserted by the editor)
 Facial Landmark Detection for Manga Images
@@ -71052,10 +60034,6 @@ SyedA.Rizviy
 StateUniversityofNewYorkatBu(cid:11)alo,Amherst,NY

 DepartmentofAppliedSciences
 CollegeofStatenIslandofCityUniversityofNewYork,StatenIsland,NY

-0f112e49240f67a2bd5aaf46f74a924129f03912,Age-Invariant Face Recognition,"Age-Invariant Face Recognition
-Unsang Park, Member, IEEE,
-Yiying Tong, Member, IEEE, and
-Anil K. Jain, Fellow, IEEE"

 0fe5d8acc77f54d60edc56c012f35517d9c861da,Interactive Stereoscopic Video Conversion,"Interactive Stereoscopic Video Conversion
 Zhebin Zhang, Chen Zhou, Yizhou Wang, and Wen Gao, Fellow, IEEE
 erial perspective,"

@@ -71220,13 +60198,6 @@ Pietro Morerio, Lucio Marcenaro, Carlo S. Regazzoni
 Department of Biophysical and Electronic Engineering
 University of Genoa, Genoa, Italy"

 0f41f1a4bd5141184ee3ed3cf8874eeb396d7862,Deep Forest: Towards An Alternative to Deep Neural Networks,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)

-0fafbeedc41f5e31f81c91f56eca448cc29e1701,Real-Time Pedestrian Detection System,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
-Real-Time Pedestrian Detection System
-Tinto Raj R V1, Surya Priya .S2
-P.G scholar, Department of CSE, Sarabhai Institute of Science & technology, Kerala, India
-Assistant Professor, Department of CSE, Sarabhai Institute of Science & technology, Kerala, India"

 0f92e9121e9c0addc35eedbbd25d0a1faf3ab529,MORPH-II : A Proposed Subsetting Scheme,"MORPH-II: A Proposed Subsetting Scheme
 Participants: K. Kempfert, J. Fabish, K. Park, and R. Towner
 Mentors: Y. Wang, C. Chen, and T. Kling
@@ -71234,9 +60205,6 @@ NSF-REU Site at UNC Wilmington, Summer 2017"
 0fd1bffb171699a968c700f206665b2f8837d953,Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning,"Weakly Supervised Object Localization with
 Multi-fold Multiple Instance Learning
 Ramazan Gokberk Cinbis, Jakob Verbeek, and Cordelia Schmid, Fellow, IEEE"

-0fcda01765c5a0b4cff99b5ed5139a6e1eddb689,Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking,"Exploiting Long-Term Connectivity and Visual
-Motion in CRF-Based Multi-Person Tracking
-Alexandre Heili, Student Member, IEEE, Adolfo López-Méndez, and Jean-Marc Odobez, Member, IEEE"

 0ff23392e1cb62a600d10bb462d7a1f171f579d0,Toward Sparse Coding on Cosine Distance,"Toward	Sparse	Coding	on	Cosine
 Distance
 Jonghyun	Choi,	Hyunjong	Cho,	Jungsuk	Kwak#,
@@ -71275,26 +60243,6 @@ Tayyab Naseer
 Gabriel L. Oliveira
 Thomas Brox
 Wolfram Burgard"

-0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,"ORIGINAL RESEARCH
-published: 22 December 2015
-doi: 10.3389/fpsyg.2015.01937
-The Change of Expression
-Configuration Affects
-Identity-Dependent Expression
-Aftereffect but Not
-Identity-Independent Expression
-Aftereffect
-Miao Song 1, 2*, Keizo Shinomori 2, Qian Qian 3, Jun Yin 1 and Weiming Zeng 1
-College of Information Engineering, Shanghai Maritime University, Shanghai, China, 2 School of Information, Kochi University
-of Technology, Kochi, Japan, 3 Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science
-nd Technology, Kunming, China
-The present study examined the influence of expression configuration on cross-identity
-expression aftereffect. The expression configuration refers to the spatial arrangement
-of facial features in a face for conveying an emotion, e.g., an open-mouth smile vs.
-closed-mouth smile. In the first of two experiments, the expression aftereffect is
-measured using a cross-identity/cross-expression configuration factorial design. The
-facial
-identities of test faces were the same or different from the adaptor, while"

 0ff14ec76e5fe7f17dce102e781ffce2738c8d4b,Real-time pedestrian detection in urban scenarios,"Real-time Pedestrian Detection in Urban Scenarios
 VARGA Robert, VESA Andreea Valeria, JEONG Pangyu, NEDEVSCHI Sergiu
 {robert.varga, pangyu.jeong,
@@ -71374,12 +60322,6 @@ Alberto Sanfeliu, and Juan Andrade-Cetto
 Institut de Rob`otica i Inform`atica Industrial, CSIC-UPC
 Llorens Artigas 4-6, 08028 Barcelona, Spain.
 http://www.iri.upc.edu"

-0f07dcf92588945eb0d70893cdf0fe4a48552763,Detection- and Trajectory-Level Exclusion in Multiple Object Tracking,"Detection- and Trajectory-Level Exclusion in Multiple Object Tracking
-Anton Milan1
-Konrad Schindler2
-Stefan Roth1
-Department of Computer Science, TU Darmstadt
-Photogrammetry and Remote Sensing Group, ETH Z¨urich"

 0fb75f5cb12d1e1a909b9f698b7617bb9603002f,Design of Weight-Learning Efficient Convolutional Modules in Deep Convolutional Neural Networks and its Application to Large-Scale Visual Recognition Tasks,"Data Analysis Project
 Design of Weight-Learning Ef‌f‌icient Convolutional Modules in Deep
 Convolutional Neural Networks and its Application to
@@ -71398,14 +60340,6 @@ Krzysztof Czarnecki∗
 Vahdat Abdelzad∗
 Taylor Denouden†
 Sachin Vernekar†"

-2465fc22e03faf030e5a319479a95ef1dfc46e14,Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM,"______________________________________________________PROCEEDING OF THE 20TH CONFERENCE OF FRUCT ASSOCIATION
-Influence of Different Feature Selection Approaches
-on the Performance of Emotion Recognition
-Methods Based on SVM
-Daniil Belkov, Konstantin Purtov, Vladimir Kublanov
-Ural Federal University (UrFU)
-Yekaterinburg, Russia
-d.d.belkov,"

 24ff832171cb774087a614152c21f54589bf7523,Beat-Event Detection in Action Movie Franchises,"Beat-Event Detection in Action Movie Franchises
 Danila Potapov
 Matthijs Douze
@@ -71564,10 +60498,6 @@ nd Landmarking on 3D Meshes
 Clement Creusot · Nick Pears · Jim Austin
 Received: 14 October 2011 / Accepted: 17 December 2012
 © Springer Science+Business Media New York 2013"

-244377600b1474e1da3b86a08683e629990d1417,Embedded Vision System for Atmospheric Turbulence Mitigation,"Embedded Vision System for Atmospheric Turbulence Mitigation
-Ajinkya Deshmukh1, Gaurav Bhosale, Swarup Medasani2, Karthik Reddy,
-Hemanthakumar P, Chandrasekhar A, Kirankumar P, Vijayasagar K
-Uurmi Systems Pvt. Ltd., Hyderabad, India"

 2491203e3b268235ea0269f41dbebd113d2a1b0a,"Optimal multiplexed sensing: bounds, conditions and a graph theory link.","Optimal multiplexed sensing: bounds,
 onditions and a graph theory link
 Netanel Ratner,1 Yoav Y. Schechner,1,∗
@@ -71591,11 +60521,6 @@ Sydney Cash1,2       Brandon Westover1,3
 Massachusetts General Hospital, 2Harvard Medical School, 3Brigham and Women's Hospital
 University of California – Riverside
 {mueen, eamonn,"

-2485c98aa44131d1a2f7d1355b1e372f2bb148ad,The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 38, NO. 1, JANUARY 2008
-The CAS-PEAL Large-Scale Chinese Face
-Database and Baseline Evaluations
-Wen Gao, Senior Member, IEEE, Bo Cao, Shiguang Shan, Member, IEEE,
-Xilin Chen, Member, IEEE, Delong Zhou, Xiaohua Zhang, and Debin Zhao"

 24ff2797234e26bb2ffd4558eb4412df0625687e,Mind Your Language: Abuse and Offense Detection for Code-Switched Languages,"Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
 Raghav Kapoor
 MIDAS Lab, NSIT-Delhi
@@ -71609,13 +60534,6 @@ Ponnurangam Kumaraguru
 IIIT, Delhi
 Roger Zimmermann
 NUS, Singapore"

-2400543ba5a94e2723bc5296e9e5f2a280f0adbd,Face Recogition by Using Gabor Feature Extraction and Neural Networks,"IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
-e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 2, Ver. II (Mar - Apr.2015), PP 68-72
-www.iosrjournals.org
-Face Recogition by Using Gabor Feature Extraction and Neural
-Networks
-B.Gopika, K.Srilaxmi, D.Alekhya, B.Bhaskar Rao, B.Rama Mohan
-,2,3,4,5, (ECE, Lendi Institute of Engineering And Technology, India,"

 2475ad865b2102cef83a87adfe0d2e71d4791e53,A Supervised Clustering Algorithm for the Initialization of RBF Neural Network Classifiers,"A Supervised Clustering Algorithm for the Initialization
 of RBF Neural Network Classifiers
 Hakan Cevikalp, Diane Larlus, Frédéric Jurie
@@ -71649,25 +60567,6 @@ Face Recognition: Effects of Similarity Measure
 Arjun V Mane#1, Ramesh R Manza#2, Karbhari V Kale#3
 #Department of Computer Science & Information Technology,
 Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India"

-24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,"Volume 3, Issue 10, October 2015
-International Journal of Advance Research in
-Computer Science and Management Studies
-Research Article / Survey Paper / Case Study
-Available online at: www.ijarcsms.com
-ISSN: 2321-7782 (Online)
-Automatic Face Naming by Using Fused Affinity Matrix
-Kadam Vaibhav Bharat1
-B.E. Computer Science
-Deshpande Supriya Ajay2
-B.E. Computer Science
-Alarm College of Engineering, Pune, India
-Alarm College of Engineering, Pune, India
-Malpure Sagar3
-B.E. Computer Science
-Choudhary Jitendra4
-B.E. Computer Science
-Alarm College of Engineering, Pune, India
-Alarm College of Engineering, Pune, India"

 24e98b70dc6982af2dd3a5bb4e501cc1b61f7d2b,LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018
 LCR-Net++: Multi-person 2D and 3D Pose
 Detection in Natural Images
@@ -71678,25 +60577,6 @@ Mohammad Rastegari, Shobeir Fakhraei,
 Jonghyun Choi, David Jacobs, Larry S. Davis
 mrastega,shobeir
 jhchoi,djacobs,lsd"

-244a6d4f5f745f8c2a58a6a70d7ba2b91300c118,RADON Transform and PCA based 3 D Face Recognition using KNN and SVM,"International Journal of Computer Applications (0975 – 8887)
-Recent Advances in Information Technology, 2014
-RADON Transform and PCA based 3D Face Recognition
-using KNN and SVM
-P. S. Hiremath
-Department of Computer Science
-Gulbarga University
-Gulbarga, KA, India
-Manjunatha Hiremath
-Department of Computer Science
-Gulbarga University
-Gulbarga, KA, India
-integral
-researches
-society.Many"

-2475d216fd52994ac69ef922f4daf73e47f9535d,Joint Albedo Estimation and Pose Tracking from Video,"Joint Albedo Estimation and Pose Tracking
-from Video
-Sima Taheri, Student Member, IEEE, Aswin Sankaranarayanan, Member, IEEE,
-nd Rama Chellappa, Fellow, IEEE"

 242ae7b1b1c3e1aafcbe9cef3cb23918c6f94f2c,Performance Evaluation of Biometric Template Update,"Performance Evaluation
 of Biometric Template Update
 Romain Giot and Christophe Rosenberger
@@ -71796,11 +60676,6 @@ http://qmro.qmul.ac.uk/xmlui/handle/123456789/22467
 Information about this research object was correct at the time of download; we occasionally
 make corrections to records, please therefore check the published record when citing. For
 more information contact"

-2484a34597a40d846c084e827fda299fd0927008,Image Matching Algorithm based on Feature-point and DAISY Descriptor,"Image Matching Algorithm based on
-Feature-point and DAISY Descriptor
-School of Business, Sichuan Agricultural University, Sichuan Dujianyan 611830, China
-Li Li
-is  the  research"

 5ecf564bc9eab26c96c17304744ff1029215a109,Single-Sample Face Recognition Based on Intra-Class Differences in a Variation Model,"Sensors 2015, 15, 1071-1087; doi:10.3390/s150101071
 OPEN ACCESS
 sensors
@@ -71819,14 +60694,6 @@ Received: 17 September 2014 / Accepted: 10 December 2014 / Published: 8 January
 5e0832848fab012b7e59580264257e0a3d05c596,The University of Southampton Multi-Biometric Tunnel and introducing a novel 3 D gait dataset Richard,"The University of Southampton Multi-Biometric Tunnel and
 introducing a novel 3D gait dataset
 Richard D. Seely, Sina Samangooei, Lee Middleton, John N. Carter and Mark S. Nixon"

-5e0df06d92176f362d52962de866e2d825185afb,Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking,"Improving Multi-Frame Data Association with
-Sparse Representations for Robust Near-Online
-Multi-Object Tracking
-Lo¨ıc Fagot-Bouquet1, Romaric Audigier1, Yoann Dhome1, Fr´ed´eric Lerasle2,3
-CEA, LIST, Vision and Content Engineering Laboratory,
-Point Courrier 173, F-91191 Gif-sur-Yvette, France
-CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France
-Universit´e de Toulouse, UPS, LAAS, F-31400 Toulouse, France"

 5ee220b6fb70a3d4d99be9d81d2c0e5de06ab3b9,LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics,"Pre-print of article that will appear in Proceedings of Robotics: Science and Systems XIV, 2018.Please cite this paper as:Sourav Garg, Niko Sunderhauf, and Michael Milford. LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics. Proceedings of Robotics: Science and Systems XIV,  title={LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics},  author={Garg, Sourav and Suenderhauf, Niko and Milford, Michael},  journal={Proceedings of Robotics: Science and Systems XIV},  year={2018}}"

 5e9a6357fd7de7271dac77756c3992dce260eb49,ON THE CONVERGENCE OF AFFECTIVE AND PERSUASIVE TECHNOLOGIES IN COMPUTER-MEDIATED HEALTH-CARE SYSTEMS,"Rebeca I. García-Betances
 Life Supporting Technologies (LifeSTech)
@@ -71882,18 +60749,6 @@ Irene Kotsiay, Stefanos Zafeiriouy, Nikolaos Nikolaidisy and Ioannis Pitasy
 yAristotle University of Thessaloniki, Department of Informatics
 Thessaloniki, Greece
 email: fekotsia, dralbert, nikolaid,"

-5e5e11e143140cc376db466d5b096a54b900c2ba,Face Recognition in Uncontrolled Environment,"(IJACSA) International Journal of Advanced Computer Science and Applications,
-Vol. 7, No. 8, 2016
-Face Recognition in Uncontrolled Environment
-Radhey Shyam and Yogendra Narain Singh
-Department of Computer Science & Engineering
-Institute of Engineering and Technology
-Lucknow - 226 021, India"

-5ebd9457a3a09889fad8cc86a91b274da5986636,oASIS: Adaptive Column Sampling for Kernel Matrix Approximation,"PATEL et al.: OASIS: ADAPTIVE COLUMN SAMPLING FOR KERNEL MATRIX APPROXIMATION
-oASIS: Adaptive Column Sampling
-for Kernel Matrix Approximation
-Raajen Patel*, Student Member, IEEE, Thomas A. Goldstein, Member, IEEE, Eva L. Dyer, Member, IEEE,
-Azalia Mirhoseini, Student Member, IEEE, and Richard G. Baraniuk, Fellow, IEEE"

 5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd,Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!,"Supervised COSMOS Autoencoder: Learning Beyond the
 Euclidean Loss!
 Maneet Singh, Student Member, IEEE, Shruti Nagpal, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE,
@@ -71942,13 +60797,6 @@ Screening Guidelines
 Clinical & Research Criteria
 Increased Prevalence of Autism
 It’s not the vaccine"

-5e2b918f2dee17cb79d692e10aa2103ca9129e2c,Rotating your face using multi-task deep neural network,"Rotating Your Face Using Multi-task Deep Neural Network
-Junho Yim1 Heechul Jung1 ByungIn Yoo1;2 Changkyu Choi2 Dusik Park2
-Junmo Kim1
-School of Electrical Engineering, KAIST, South Korea
-Samsung Advanced Institute of Technology
-fjunho.yim, heechul,
-fbyungin.yoo, changkyu choi,"

 5eac16cf7551d2968bc2d73200883dca0b5f7f13,Combining complementary kernels in complex visual categorization,"Combining complementary kernels in complex visual categorization
 Nicolas Thome1, David Picard2 and Matthieu Cord1
 LIP6 UPMC Paris 6
@@ -72350,11 +61198,6 @@ Semantic-Aware Image Smoothing
 Weihao Li1,2, Omid Hosseini Jafari1,2, and Carsten Rother1,2
 Computer Vision Lab, TU Dresden, Germany
 Visual Learning Lab, Heidelberg University, Germany"

-6cacda04a541d251e8221d70ac61fda88fb61a70,One-shot Face Recognition by Promoting Underrepresented Classes,"One-shot Face Recognition by Promoting Underrepresented Classes
-Yandong Guo, Lei Zhang
-Microsoft
-One Microsoft Way, Redmond, Washington, United States
-{yandong.guo,"

 6cad008ad80081dc42752e813ee6924e3c174dc7,Does Facial Resemblance Enhance Cooperation?,"Does Facial Resemblance Enhance Cooperation?
 Trang Giang*, Raoul Bell*, Axel Buchner
 Department of Experimental Psychology, Heinrich Heine University Du¨ sseldorf, Du¨ sseldorf, Germany"

@@ -72379,17 +61222,6 @@ Erster Gutachter:
 Prof. Dr. A. Waibel
 Zweiter Gutachter:
 Prof. Dr. J. Kittler"

-6cd497a9a66daa2d0c867dc07412d958791f3499,Speeding Up Permutation Based Indexing with Indexing,"Speeding Up Permutation Based Indexing with Indexing
-Karina Figueroa
-Facultad de Ciencias F´ısico-Matem´aticas
-Universidad Michoacana
-Mexico
-Kimmo Fredriksson
-Department of Computer Science
-University of Kuopio
-Finland
-Email:
-Email:"

 6cd762e7cb1301abd0ddbb265dd9c7661ffc0458,On optimal low rank Tucker approximation for tensors: the case for an adjustable core size,"On Optimal Low Rank Tucker Approximation for Tensors:
 The Case for an Adjustable Core Size
 Bilian CHEN ∗
@@ -72434,10 +61266,6 @@ Universidad de Las Palmas de Gran Canaria
 Photo Filter Recommendation
 y Category-Aware Aesthetic Learning
 Wei-Tse Sun, Ting-Hsuan Chao, Yin-Hsi Kuo, Winston H. Hsu"

-6c62330cbd60f2cb6cb80b920104d0df3116cb3f,Robust People Tracking Using A Light Coding Depth Sensor,"Robust People Tracking Using A Light Coding Depth Sensor
-Xun Changqing1, Yang Shuqiang2, and Zhang Chunyuan1
-College of Computer, National University of Defence Technology, ChangSha, China
-College of Electronic Science and Engineering, National University of Defence Technology, ChangSha, China"

 6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365,Privacy-Preserving Deep Inference for Rich User Data on The Cloud,"Privacy-Preserving Deep Inference for Rich User
 Data on The Cloud
 Seyed Ali Osia ♯, Ali Shahin Shamsabadi ♯, Ali Taheri ♯, Kleomenis Katevas ⋆,
@@ -72654,12 +61482,6 @@ Jonathan Huang
 Google Inc.
 Kevin Murphy
 Google Inc."

-053ff27aba868c64823dbbe2167a762dd3f33b53,Probabilistic Slow Features for Behavior Analysis,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.
-Probabilistic Slow Features for Behavior Analysis
-Lazaros Zafeiriou, Student Member, IEEE, Mihalis A. Nicolaou, Member, IEEE,
-Stefanos Zafeiriou, Member, IEEE, Symeon Nikitidis,
-nd Maja Pantic, Fellow, IEEE
-feature"

 05ce73c39368aca1d10ab48dbe0dee80ee084bdb,M ULTI-LABEL L EARNING WITH THE RNN S FOR F ASHION S EARCH,"Under review as a conference paper at ICLR 2017
 MULTI-LABEL LEARNING WITH THE RNNS
 FOR FASHION SEARCH
@@ -72689,12 +61511,6 @@ Søren Hauberg, Aasa Feragen, Raffi Enficiaud, and Michael J. Black"
 05ad478ca69b935c1bba755ac1a2a90be6679129,Attribute Dominance: What Pops Out?,"Attribute Dominance: What Pops Out?
 Naman Turakhia
 Georgia Tech"

-05469df372a567dcef62b7ba447685fd5a5efb80,DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
-DeepSpace: An Online Deep Learning
-Framework for Mobile Big Data to Understand
-Human Mobility Patterns
-Xi Ouyang, Student Member, IEEE, Chaoyun Zhang†, Student Member, IEEE, Pan Zhou, Member, IEEE
-nd Hao Jiang, Member, IEEE"

 050a149051a5d268fcc5539e8b654c2240070c82,Magisterské a doktorské studijnı́ programy,MAGISTERSKÉ A DOKTORSKÉSTUDIJNÍ PROGRAMY31. 5. 2018SBORNÍKSTUDENTSKÁ VĚDECKÁ KONFERENCE

 052880031be0a760a5b606b2ad3d22f237e8af70,Datasets on object manipulation and interaction: a survey,"Datasets on object manipulation and interaction: a survey
 Yongqiang Huang and Yu Sun"

@@ -72779,42 +61595,6 @@ Numbers displayed above are based on latest data collected."
 Reinhard Heckel and Helmut B¨olcskei
 Dept. of IT & EE, ETH Zurich, Switzerland
 July 2013; last revised August 2015"

-0569d7d3d8f96140adc8ec5a6016fdc97e7ef8aa,Random tree walk toward instantaneous 3D human pose estimation,"Random Tree Walk toward Instantaneous 3D Human Pose Estimation
-Ho Yub Jung1, Soochahn Lee2, Yong Seok Heo3, Il Dong Yun1
-Div. of Comp. & Elect. Sys. Eng., Hankuk University of Foreign Studies. 2Dept. of Elect. Eng., Soonchunghyang University. 3Dept. of Elect. & Comp. Eng.,
-Ajou University.
-Figure 1: The red lines represents the random tree walks trained to find
-the head position. The random walk starts from the body center in (a). In
-(b), the head position is found with fewer steps by starting from the chest,
-which is much closer than the body center. (c) illustrates the kinematic tree
-implemented along with RTW. The adjacent joint positions can be used as
-the starting positions for new RTW. (d) shows the RTW path examples.
-Figure 2: Example results of the RTW from EVAL db [1]. Proposed ap-
-proach achieves the state-of-the-art accuracy without using the temporal
-prior. 64 RTW steps are taken for each joint to estimate human pose from
-single depth image. The RTW paths are drawn, and the expectations of
-RTW steps are used to find the joint positions. The pose estimation from a
-single frame takes less than 1 millisecond.
-The availability of accurate depth cameras have made real-time human
-pose estimation possible; however, there are still demands for faster algo-
-rithms on low power processors. This paper introduces 1000 frames per
-second pose estimation method on a single core 3.20 GHz CPU with no"

-05a6a40c840c069631a825509f3095697592e1c4,IAN: The Individual Aggregation Network for Person Search,"IAN: The Individual Aggregation Network for
-Person Search
-Jimin XIAO, Member, IEEE, Yanchun XIE, Tammam TILLO, Senior Member, IEEE, Kaizhu HUANG, Senior
-Member, IEEE, Yunchao WEI, Member, IEEE, Jiashi FENG"

-057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,"EgoSampling: Fast-Forward and Stereo for Egocentric Videos
-Yair Poleg
-Tavi Halperin
-The Hebrew University
-The Hebrew University
-Jerusalem, Israel
-Jerusalem, Israel
-Chetan Arora
-Delhi, India
-Shmuel Peleg
-The Hebrew University
-Jerusalem, Israel"

 050fdbd2e1aa8b1a09ed42b2e5cc24d4fe8c7371,Spatio-Temporal Scale Selection in Video Data,"Contents
 Scale Space and PDE Methods
 Spatio-Temporal Scale Selection in Video Data . . . . . . . . . . . . . . . . . . . . .
@@ -72836,15 +61616,6 @@ Combining Contrast Invariant L1 Data Fidelities with Nonlinear
 Spectral Image Decomposition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
 Leonie Zeune, Stephan A. van Gils, Leon W.M.M. Terstappen,"

 05e658fed4a1ce877199a4ce1a8f8cf6f449a890,Domain Transfer Learning for Object and Action Recognition,

-053c2f592a7f153e5f3746aa5ab58b62f2cf1d21,PERFORMANCE EVALUATION OF ILLUMINATION NORMALIZATION TECHNIQUES FOR FACE RECOGNITION,"International Journal of Research in
-Engineering & Technology (IJRET)
-ISSN 2321-8843
-Vol. 1, Issue 2, July 2013, 11-20
-© Impact Journals
-PERFORMANCE EVALUATION OF ILLUMINATION NORMALIZATION TECHNIQUES
-FOR FACE RECOGNITION
-A. P. C. SARATHA DEVI & V. MAHESH
-Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India"

 05ea7930ae26165e7e51ff11b91c7aa8d7722002,Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation,"Learning And-Or Model to Represent Context and
 Occlusion for Car Detection and Viewpoint Estimation
 Tianfu Wu∗, Bo Li∗ and Song-Chun Zhu"

@@ -73010,22 +61781,6 @@ Doctor of Philosophy
 Department of Computer Science
 University of Sheffield
 November 2013"

-edd28097745ade85c3acd1d8bcba0b17cccb682e,Title Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models Permalink,"UC Irvine
-UC Irvine Previously Published Works
-Title
-Multi-Object Classification and Unsupervised Scene Understanding Using
-Deep Learning Features and Latent Tree Probabilistic Models
-Permalink
-https://escholarship.org/uc/item/21x3r1x0
-Authors
-Nimmagadda, T
-Anandkumar, A
-Publication Date
-017-03-02
-Peer reviewed
-eScholarship.org
-Powered by the California Digital Library
-University of California"

 eda20a2f33d0f6db44a2e7d060efad3caa6621e0,"Classification with Global, Local and Shared Features","Classification with Global, Local and Shared
 Features
 Hakan Bilen1, Vinay P. Namboodiri2, Luc J. Van Gool1,3
@@ -73045,21 +61800,6 @@ Supervisor:
 Prof. Andrea Prati
 The Chair of the Doctoral Program:
 Prof. Fabio Peron"

-de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,"I.J. Information Technology and Computer Science, 2013, 06, 1-9
-Published Online May 2013 in MECS (http://www.mecs-press.org/)
-DOI: 10.5815/ijitcs.2013.06.01
-Ultrasound Image Despeckling using Local
-Binary Pattern Weighted Linear Filtering
-Digital Image Processing Lab, Dept. of Computer Applications, Cochin University of Science and Technology, Kerala,
-Simily Joseph, Kannan Balakrishnan
-E-mail: {simily.joseph,
-India
-M.R. Balachandran Nair
-Ernakulam Scan Center, Kerala, India
-E-mail:
-Reji Rajan Varghese
-Dept. of Biomedical Engineering, Co operative Medical College, Kerala, India
-E-mail:"

 de0eb358b890d92e8f67592c6e23f0e3b2ba3f66,Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification,"ACCEPTED BY IEEE TRANS. PATTERN ANAL. AND MACH. INTELL.
 Inference-Based Similarity Search in
 Randomized Montgomery Domains for
@@ -73081,9 +61821,6 @@ Inffeldgasse 16/II, 8010 Graz, Austria
 Trˇzaˇska 25, SI-1001 Slovenia
 e-mail: {pmroth,
 {danijel.skocaj,"

-de398bd8b7b57a3362c0c677ba8bf9f1d8ade583,Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition,"Hierarchical Bayesian Theme Models for
-Multi-pose Facial Expression Recognition
-Qirong Mao, Member, IEEE, Qiyu Rao, Yongbin Yu, and Ming Dong*, Member, IEEE"

 de287480b9ab8dfab1c49e24e5517b0a3c55203b,A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives,"A Tempt to Unify Heterogeneous Driving Databases
 using Traffic Primitives
 Jiacheng Zhu1,Wenshuo Wang1, Ding Zhao1,∗"

@@ -73096,26 +61833,6 @@ de55bfc96b027b3e2bd44baed656a3f563ff6e71,"Deep Feature Consistent Deep Image Tra
 Transformations: Downscaling, Decolorization and
 HDR Tone Mapping
 Xianxu Hou, Jiang Duan, and Guoping Qiu"

-de95fa1dd69a2d0d2b76539357062062f8b1e7b8,Face to Age,"Face to Age
-Project 1
-CS395T - Deep Learning Seminar
-Aishwarya Padmakumar, Ashish Bora, Amir Gholaminejad
-October 9, 2016
-A Century of Portraits is a dataset that contains frontal-facing American high school year-book photos
-with labels to indicate the years those photos were taken [2].
-In this project we train classifiers to
-predict the label, given the image. We used several Deep Neural Network architectures for this task,
-ll of which were finetuned with ImageNet pretraining. With VGGNet architecture, we demonstrate
-significant improvements in classification accuracy reporting test set accuracy of 67.59% and mean L1
-error, as compared to 11.31 % achieved by Ginosar et al. [2]. Further, we show some visualizations of
-the trained model to gain insights into the learned model. The code for this project can be found at
-https://github.com/AshishBora/face2year.
-Introduction
-Deep Neural networks have been central to large improvements in several visual learning tasks. Feature
-representations learned by deep convolutional neural networks for image classification on large datasets
-such as ImageNet [1] have been repeatedly demonstrated to be useful for other tasks [6]. Several down-
-stream applications have also greatly benefited from these representations, either when used directly
-[9, 10] or with appropriate finetuning [3, 5]."

 def3b2254caea169c5cbc4b771c44f1773c004fd,Matching Adversarial Networks,"Matching Adversarial Networks
 Gell´ert M´attyus and Raquel Urtasun
 Uber Advanced Technologies Group and University of Toronto"

@@ -73307,12 +62024,6 @@ vi	a
 66c792b7e9946f8cb92fac185267d03371437451,Adaptive Affinity Fields for Semantic Segmentation,"Adaptive Affinity Fields for Semantic Segmentation
 Tsung-Wei Ke*, Jyh-Jing Hwang*, Ziwei Liu, and Stella X. Yu
 UC Berkeley / ICSI"

-66810438bfb52367e3f6f62c24f5bc127cf92e56,Face Recognition of Illumination Tolerance in 2 D Subspace Based on the Optimum Correlation Filter,"Face Recognition of Illumination Tolerance in 2D
-Subspace Based on the Optimum Correlation
-Filter
-Xu Yi
-Department of Information Engineering, Hunan Industry Polytechnic, Changsha, China
-images  will  be  tested  to  project"

 66a9935e958a779a3a2267c85ecb69fbbb75b8dc,Fast and Robust Fixed-Rank Matrix Recovery,"FAST AND ROBUST FIXED-RANK MATRIX RECOVERY
 Fast and Robust Fixed-Rank Matrix
 Recovery
@@ -73418,10 +62129,6 @@ ISSN(Online)  2093-7423
 Nearest-Neighbors Based Weighted Method for the BOVW Applied to
 Image Classification
 Mengxi Xu*,**, Quansen Sun†, Yingshu Lu*** and Chenming Shen**"

-661c16658db873efeee3621603fe6bd53eaffac1,LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition,"LLE score: a new filter-based unsupervised feature
-selection method based on nonlinear manifold
-embedding and its application to image recognition
-Chao Yao, Ya-Feng Liu, Member, IEEE, Bo Jiang, Jungong Han, and Junwei Han, Senior Member, IEEE."

 660c8a9fa166c1d81e65192e011eacfec208ec00,Discrimination of visual pedestrians data by combining projection and prediction learning,"Discrimination of visual pedestrians data by combining
 projection and prediction learning
 Mathieu Lefort, Alexander Gepperth
@@ -73501,9 +62208,6 @@ Web: www.gkmm.tu-darmstadt.de/rescue"
 Reconfigurable Inference With
 Bundle Representations
 Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, Senior Member, IEEE"

-66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450,A Linear Approximation to the chi^2 Kernel with Geometric Convergence,"A Linear Approximation to the χ2 Kernel with
-Geometric Convergence
-Fuxin Li, Member, IEEE, Guy Lebanon, Member, IEEE, and Cristian Sminchisescu, Member, IEEE"

 664ccdcc614a8ecfbfedadc7b42b9537fe43d3f1,Probabilistic integration of sparse audio-visual cues for identity tracking,"Probabilistic Integration of Sparse Audio-Visual Cues for
 Identity Tracking
 Keni Bernardin
@@ -73518,26 +62222,6 @@ Alex Waibel
 Universität Karlsruhe, ITI
 Am Fasanengarten 5
 76131, Karlsruhe, Germany"

-661da40b838806a7effcb42d63a9624fcd684976,An Illumination Invariant Accurate Face Recognition with Down Scaling of DCT Coefficients,"An Illumination Invariant Accurate
-Face Recognition with Down Scaling
-of DCT Coefficients
-Virendra P. Vishwakarma, Sujata Pandey and M. N. Gupta
-Department of Computer Science and Engineering, Amity School of Engineering and Technology, New Delhi, India
-In this paper, a novel approach for illumination normal-
-ization under varying lighting conditions is presented.
-Our approach utilizes the fact that discrete cosine trans-
-form (DCT) low-frequency coefficients correspond to
-illumination variations in a digital image. Under varying
-illuminations, the images captured may have low con-
-trast; initially we apply histogram equalization on these
-for contrast stretching. Then the low-frequency DCT
-oefficients are scaled down to compensate the illumi-
-nation variations. The value of scaling down factor and
-the number of low-frequency DCT coefficients, which
-re to be rescaled, are obtained experimentally. The
-lassification is done using k−nearest neighbor classi-
-fication and nearest mean classification on the images
-obtained by inverse DCT on the processed coefficients."

 66837b29270f3e03df64941a081d70c687c7955c,ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition,"ActionXPose: A Novel 2D Multi-view Pose-based
 Algorithm for Real-time Human Action Recognition
 Federico Angelini, Student Member, IEEE, Zeyu Fu, Student Member, IEEE, Yang Long, Senior Member, IEEE,
@@ -73550,10 +62234,6 @@ Genevieve Patterson · Chen Xu · Hang Su ·
 James Hays
 Received: 27 February 2013 / Accepted: 28 December 2013 / Published online: 18 January 2014
 © Springer Science+Business Media New York 2014"

-66719918aa6562d14ea53286bf248d6f1a7d6b14,Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks,"Perceive Your Users in Depth: Learning Universal User
-Representations from Multiple E-commerce Tasks
-Yabo Ni∗, Dan Ou∗, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
-Search Algorithm Team, Alibaba Group, Seattle & Hangzhou, China"

 660c6a47ea29de2b4f40ac942ba682954118722f,SUPER-RESOLUTION : LIMITS AND BEYOND,"Chapter 1
 SUPER-RESOLUTION: LIMITS AND BEYOND
 Simon Baker
@@ -73852,16 +62532,6 @@ Andrew Rabinovich
 MagicLeap Inc.
 Alexander C. Berg
 UNC Chapel Hill"

-1ae19084d2cd53c70d7e44d419df32560e417fb9,The Canadian experience using the expanded criteria donor classification for allocating deceased donor kidneys for transplantation,"Young et al. Canadian Journal of Kidney Health and Disease  (2016) 3:15
-DOI 10.1186/s40697-016-0106-9
-Open Access
-O R I G I N AL R ES EA R C H AR TI C L E
-The Canadian experience using the
-expanded criteria donor classification for
-llocating deceased donor kidneys for
-transplantation
-Ann Young1, Stephanie N. Dixon2, Greg A. Knoll2,3, Amit X. Garg2,4, Charmaine E. Lok1,2,6, Ngan N. Lam5
-nd S. Joseph Kim1,2,6*"

 1a54a8b0c7b3fc5a21c6d33656690585c46ca08b,Fast Feature Pyramids for Object Detection,"Fast Feature Pyramids for Object Detection
 Piotr Doll´ar, Ron Appel, Serge Belongie, and Pietro Perona"

 1afbca9f7011ec659db9cb3692cbab5b5e38499b,"A mixed bag of emotions: Model, predict, and transfer emotion distributions","Motivation
@@ -73904,16 +62574,6 @@ The version in the Kent Academic Repository may differ from the final published
 Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the
 published version of record.
 Enquiries"

-1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2587642, IEEE
-Transactions on Pattern Analysis and Machine Intelligence
-IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-DeepID-Net: Object Detection with Deformable
-Part Based Convolutional Neural Networks
-Wanli Ouyang*, Member, IEEE, Xingyu Zeng*, Student Member, IEEE,
-Xiaogang Wang, Member, IEEE,Shi Qiu Member, IEEE, Ping Luo, Member, IEEE,
-Yonglong Tian Student Member, IEEE, Hongsheng Li, Member, IEEE, Shuo Yang Student Member, IEEE,
-Zhe Wang, Student Member, IEEE, Hongyang Li, Kun Wang, Junjie Yan,
-Chen-Change Loy, Member, IEEE, Xiaoou Tang, Fellow, IEEE"

 1a219e7bcd8f30f886a1f24a8c05bc26bef83ff9,Crowd Counting with Density Adaption Networks,"Crowd Counting with Density Adaption Networks
 Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng"

 1ad97cce5fa8e9c2e001f53f6f3202bddcefba22,Grassmann Averages for Scalable Robust PCA,"Grassmann Averages for Scalable Robust PCA
@@ -73945,16 +62605,6 @@ television services such as TV-Anytime andAlliance for Telecommunications Indust
 Interoperability Forum."

 1afe5d933b58b4dd982a559cc6ec1d17959239de,Enhanced canonical correlation analysis with local density for cross-domain visual classification,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"

-1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f,Implementation of Partial Face Recognition using Directional Binary Code,"International Journal of Linguistics and Computational Applications (IJLCA)                          ISSN 2394-6385 (Print)
-Volume 4, Issue 1, January – March 2017                                                                                   ISSN 2394-6393 (Online)
-Implementation of Partial Face Recognition
-using Directional Binary Code
-N.Pavithra #1, A.Sivapriya*2, K.Hemalatha*3 , D.Lakshmi*4
-,2,3Final Year, Department of Computer Science and Engineering, PanimalarInstitute of Technology,
-Assistant Professor, Department of Computer Science and Engineering, PanimalarInstitute of Technology, Tamilnadu, India,
-faith
-is  proposed.  It
-face  alignment  and"

 1a7e385d2aa041ca8931784fb7664e9905194565,Chapter 2 Sentiment Analysis Using Social Multimedia,"Chapter 2
 Sentiment Analysis Using Social
 Multimedia
@@ -73981,9 +62631,6 @@ Yonghyun Kim1[0000−0003−0038−7850], Bong-Nam Kang2[0000−0002−6818−75
 nd Daijin Kim1[0000−0002−8046−8521]
 Department of Computer Science and Engineering, POSTECH, Korea
 Department of Creative IT Engineering, POSTECH, Korea"

-1a45ddaf43bcd49d261abb4a27977a952b5fff12,LDOP: Local Directional Order Pattern for Robust Face Retrieval,"LDOP: Local Directional Order Pattern for Robust
-Face Retrieval
-Shiv Ram Dubey, Member, IEEE, and Snehasis Mukherjee, Member, IEEE"

 1a41831a3d7b0e0df688fb6d4f861176cef97136,A Biological Model of Object Recognition with Feature Learning,"massachusetts institute of technology — artificial intelligence laboratory
 A Biological Model of Object
 Recognition with Feature Learning
@@ -74066,13 +62713,6 @@ Matthieu Cord
 LIP6, UPMC - Sorbonne University, Paris, France
 {Marc.Law, Nicolas.Thome,"

 0033e0ce8720f913761f9edb9a6c378eed8366a8,Interactive Object Retrieval using Interpretable Visual Models,"UNIVERSIT´EPARIS-SUD11Facult´edessciencesd’OrsayN◦Ordre:2011PA112054PHDTHESISInteractiveObjectRetrievalusingInterpretableVisualModelsSubmittedforthedegreeof“docteurensciences”oftheUniversityParis-Sud11Speciality:ComputerScienceByAhmedRebaiMay2011INRIAParis-Rocquencourt,ImediaTeamThesiscommittee:Reviewers:FredStentiford-Prof.atUniversityCollegeLondon(UK)SylviePhilipp-Foliguet-Prof.atUniversit´eCergy/Pontoise(FR)Director:NozhaBoujemaa-DirectoroftheINRIA-SaclayCenter(FR)Advisor:AlexisJoly-ResearcheratINRIA-Rocquencourt(FR)Examinator:MichelCrucianu-Prof.atCNAM(FR)President:Fran¸coisYvon-Prof.atUniversit´eParis-Sud11(FR)Copyrightc(cid:13)2011AhmedRebaiAllrightsreserved."

-00f1cccba86736cb6b6f39759ca6749f819252f0,Transfer Metric Learning for Kinship Verification with Locality-Constrained Sparse Features,"Transfer Metric Learning for Kinship
-Verification with Locality-Constrained
-Sparse Features
-Yanli Zhang, Bo Ma(B), Lianghua Huang, and Hongwei Hu
-Beijing Laboratory of Intelligent Information Technology,
-School of Computer Science and Technology, Beijing Institute of Technology,
-Beijing, China"

 00d8f67ac0ea0bb2c9827b60e1f47c300346cd7a,Face recognition using color local binary pattern from mutually independent color channels,"Anbarjafari EURASIP Journal on Image and Video Processing 2013, 2013:6
 http://jivp.eurasipjournals.com/content/2013/1/6
 R ES EAR CH
@@ -74089,26 +62729,9 @@ Li-Jia Li2∗
 {zhou.ren, xiaoyu.wang, ning.zhang,
 Snap Inc.
 Google Inc."

-003afe78ec7989371f648fd8957a6ce79083cf11,SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos,"SeaCLEF 2016: Object proposal classification for
-fish detection in underwater videos
-Jonas J¨ager1,2, Erik Rodner2, Joachim Denzler2, Viviane Wolff1, and Klaus
-Fricke-Neuderth1
-Department of Electrical Engineering and Information Technology,
-Fulda University of Applied Sciences, Germany
-Computer Vision Group, Friedrich Schiller University Jena, Germany"

 00d9d88bb1bdca35663946a76d807fff3dc1c15f,Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance,"Subjects and Their Objects: Localizing Interactees for a
 Person-Centric View of Importance
 Chao-Yeh Chen · Kristen Grauman"

-00091891790ee77816ebd785d25900254e6986bd,Discriminative Robust Local Binary Pattern based Edge Texture Features for Object Recognition,"International Journal of Scientific Engineering and Research (IJSER)
-ISSN (Online): 2347-3878, Impact Factor (2014): 3.05
-www.ijser.in
-Discriminative Robust Local Binary Pattern based
-Edge Texture Features for Object Recognition
-Rasika Raikar1, Shivani Pandita2
-Dhole Patil College of Engineering, Wagholi, Pune, India
-Professor, Dhole Patil College of Engineering, Wagholi, Pune, India
-round
-each  point.  Various"

 0079d56c8e183ef36f876b84327b97ee9454825b,Scene Parsing by Weakly Supervised Learning with Image Descriptions,"Hierarchical Scene Parsing by Weakly
 Supervised Learning with Image Descriptions
 Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, and Wangmeng Zuo"

@@ -74121,13 +62744,6 @@ Xiaojun Chang, Feiping Nie, Zhigang Ma, and Yi Yang"
 0077cd8f97cafd2b389783858a6e4ab7887b0b6b,Face Image Reconstruction from Deep Templates,"MAI et al.: ON THE RECONSTRUCTION OF DEEP FACE TEMPLATES
 On the Reconstruction of Deep Face Templates
 Guangcan Mai, Kai Cao, Pong C. Yuen, Senior Member, IEEE, and Anil K. Jain, Life Fellow, IEEE"

-005c996a9059af96454c3d6f83338068d3608585,On Detection of Multiple Object Instances Using Hough Transforms,"On Detection of Multiple Object Instances using Hough Transforms
-Olga Barinova
-Moscow State University∗
-Victor Lempitsky
-University of Oxford∗
-Pushmeet Kohli
-Microsoft Research Cambridge"

 0089a590154694e0de340f357a022f6a38d60946,Speeding-up Object Detection Training for Robotics with FALKON,"Speeding-up Object Detection Training for Robotics with FALKON
 Elisa Maiettini1,2,3, Giulia Pasquale1,2, Lorenzo Rosasco2,3 and Lorenzo Natale1"

 0052de4885916cf6949a6904d02336e59d98544c,Generalized low rank approximations of matrices,"Machine Learning, 61, 167–191, 2005
@@ -74488,14 +63104,6 @@ o-state propagation,” in Proc. Int. Joint Conf. Neural Networks
 ility criteria for uncertain neutral systems with mixed delays,” Syst.
 Contr. Lett., vol. 51, no. 1, pp. 57–65, 2004.
 [29] ——, “Parameter-dependent Lyapunov functional for stability of time-"

-af9d41c598fc5ae57b20948cf664273da4664931,A comparison of crowd commotion measures from generative models,"A Comparison of Crowd Commotion Measures from Generative Models
-Sadegh Mohammadi
-Hamed Kiani
-Alessandro Perina
-Vittorio Murino
-Pattern Analysis and Computer Vision Department (PAVIS)
-Istituto Italiano di Tecnologia
-Genova, Italy"

 afb51f0e173cd9ab1d41075862945ae6bc593cde,Large databases of real and synthetic images for feature evaluation and prediction,"Large databases of real and synthetic images for
 feature evaluation and prediction
 Biliana K. Kaneva
@@ -74520,10 +63128,6 @@ afaa607aa9ad0e9dad0ce2fe5b031eb4e525cbd8,Towards an automatic face indexing syst
 Towards an Automatic Face Indexing System for Actor-based
 Video Services in an IPTV Environment
 Jae Young Choi, Wesley De Neve, and Yong Man Ro, Senior Member, IEEE"

-af95ba2c08cf3317291dad554488dd951cd6ff80,Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection,"Decoupled Classification Refinement: Hard
-False Positive Suppression for Object Detection
-Bowen Cheng, Yunchao Wei, Honghui Shi, Member, IEEE, Rogerio Schmidt Feris, Senior Member, IEEE,
-Jinjun Xiong, Member, IEEE, and Thomas Huang, Life Fellow, IEEE"

 af34388e69800a168876f7446a621f68ca2215c0,Low-cost scene modeling using a density function improves segmentation performance,"Low-Cost Scene Modeling using a Density Function Improves Segmentation
 Performance
 Vivek Sharma(cid:5)(cid:63), S¸ule Yildirim-Yayilgan(cid:63), and Luc Van Gool(cid:5)∓"

@@ -74601,25 +63205,6 @@ Lingxiao He1
 CRIPAC & NLPR, CASIA 2 University of Chinese Academy of Sciences, Beijing, P.R. China
 Center for Excellence in Brain Science and Intelligence Technology, CAS
 {lingxiao.he, hqli, qi.zhang,"

-af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,"How to Train Your Deep Neural Network with
-Dictionary Learning
-Vanika Singhal*, Shikha Singh+ and Angshul Majumdar#
-*IIIT Delhi
-Okhla Phase 3
-Delhi, 110020, India
-+IIIT Delhi
-Okhla Phase 3
-#IIIT Delhi
-Okhla Phase 3
-Delhi, 110020, India
-Delhi, 110020, India"

-af9a830f62478c3638880d9a870f0b10535b3f92,Hausdorff distance-based multiresolution maps applied to image similarity measure,"Hausdorff distance-based multiresolution maps
-pplied to image similarity measure
-E. Baudrier*a, G. Millonb, F. Nicolierb, R. Seulinc and S. Ruanb
-LMA – University of La Rochelle, Avenue Cre´peau, 17000 La Rochelle, France
-CReSTIC – URCA, IUT, 9, rue de Que´bec, 10026 Troyes Cedex, France
-Le2i – CNRS UMR 5158, University of Burgundy – IUT, 12, rue de la fonderie, 71200 Le Creusot,
-France"

 af97b793a61ba6e2b02d0d29503b73b5bdc2150d,Wavelet-Local binary pattern based face recognition Azad,"I S S N   2 2 7 7 - 3 0 6 1
 V o l u m e   1 6   N u m b e r   1
 I N T E R N A T I O N A L   J O U R N A L   O F   C O M P U T E R S   &   T E C H N O L O G Y
@@ -74669,11 +63254,6 @@ scientifiques de niveau recherche, publiés ou non,
 émanant des établissements d’enseignement et de
 recherche français ou étrangers, des laboratoires
 publics ou privés."

-af283064e5af079a4a49a8641a2e4cc08e583a59,Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Monocular Depth Estimation using Multi-Scale
-Continuous CRFs as Sequential Deep Networks
-Dan Xu, Student Member, IEEE, Elisa Ricci, Member, IEEE, Wanli Ouyang, Senior Member, IEEE,
-Xiaogang Wang, Senior Member, IEEE, Nicu Sebe, Senior Member, IEEE"

 39df6ca15f41e5a674ed8cd1654e699dbc8b8c11,Human tracking over camera networks: a review,"Hou et al. EURASIP Journal on Advances in Signal Processing  (2017) 2017:43
 DOI 10.1186/s13634-017-0482-z
 EURASIP Journal on Advances
@@ -74760,9 +63340,6 @@ Autonomous Vehicle
 Michael Teti1†, William Edward Hahn1, Shawn Martin2, Christopher Teti3, and Elan Barenholtz1
 such tasks, or an attempt
 largely due to recent developments"

-397400dd7c31e47f8dec20a742695abed297a150,An integrated vision-based architecture for home security system,"An Integrated Vision-based Architecture for Home
-Security System
-John See, Student Member, IEEE, and Sze-Wei Lee, Member, IEEE"

 397085122a5cade71ef6c19f657c609f0a4f7473,Using Segmentation to Predict the Absence of Occluded Parts,"GHIASI, FOWLKES: USING SEGMENTATION TO DETECT OCCLUSION
 Using Segmentation to Predict the Absence
 of Occluded Parts
@@ -74797,23 +63374,6 @@ April 23, 2007
 Tiny images
 Antonio Torralba, Rob Fergus, and William T. Freeman
 m a s s a c h u s e t t s   i n s t i t u t e   o f   t e c h n o l o g y,   c a m b r i d g e ,   m a   0 213 9   u s a   —   w w w. c s a i l . m i t . e d u"

-3958db5769c927cfc2a9e4d1ee33ecfba86fe054,Describable Visual Attributes for Face Verification and Image Search,"Describable Visual Attributes for
-Face Verification and Image Search
-Neeraj Kumar, Student Member, IEEE, Alexander C. Berg, Member, IEEE,
-Peter N. Belhumeur, and Shree K. Nayar, Member, IEEE"

-39675124e4fe1be08f42bdd2e1e237e5a87839ba,"Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation","Adversarial Collaboration: Joint Unsupervised
-Learning of Depth, Camera Motion, Optical
-Flow and Motion Segmentation
-Anurag Ranjan1
-Varun Jampani2
-Kihwan Kim 2
-Deqing Sun 2
-Jonas Wulff 1
-Michael J. Black1
-Max Planck Institute for Intelligent Systems
-NVIDIA Research
-{aranjan, jwulff,
-{vjampani, kihwank,"

 3918dcfddf2da218a615dd8f008f6fce436e06f7,Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning,"Int J Comput Vis manuscript No.
 (will be inserted by the editor)
 Learning Sight from Sound:
@@ -74860,17 +63420,6 @@ Activities
 •  Bangpeng Yao
 •  Li Fei-Fei
 Presented by Sahil Shah"

-399f973a59493280db9686ebd9e7e218ce74a5bd,Face Recognition System – A Survey,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
-Face Recognition System – A Survey
-Richa1, Jagroop Kaur Josan2
-M.Tech Scholar, Department of Computer Engineering, Punjabi University, Patiala, Punjab, India
-Assistant Professor, Department of Computer Engineering, Punjabi University, Patiala, Punjab, India"

-390f3d7cdf1ce127ecca65afa2e24c563e9db93b,Learning and Transferring Multi-task Deep Representation for Face Alignment,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
-Learning Deep Representation for Face
-Alignment with Auxiliary Attributes
-Zhanpeng Zhang, Ping Luo, Chen Change Loy, Member, IEEE and Xiaoou Tang, Fellow, IEEE"

 397c395aed9d96aef064b9ceb9f0eae9421eb00a,An Evaluation of the Pedestrian Classification in a Multi-Domain Multi-Modality Setup,"Sensors 2015, 15, 13851-13873; doi:10.3390/s150613851
 OPEN ACCESS
 sensors
@@ -75094,26 +63643,6 @@ der Ruhr-Universit¨at Bochum
 vorgelegt von
 Alexander Rainer Tassilo Gepperth
 m 19.April 2006"

-a2dd13729206a7434ef1f0cd016275c0d6f3bb6d,SFV: Reinforcement Learning of Physical Skills from Videos,"SFV: Reinforcement Learning of Physical Skills from Videos
-XUE BIN PENG, University of California, Berkeley
-ANGJOO KANAZAWA, University of California, Berkeley
-JITENDRA MALIK, University of California, Berkeley
-PIETER ABBEEL, University of California, Berkeley
-SERGEY LEVINE, University of California, Berkeley
-Fig. 1. Simulated characters performing highly dynamic skills learned by imitating video clips of human demonstrations. Left: Humanoid performing
-artwheel B on irregular terrain. Right: Backflip A retargeted to a simulated Atlas robot.
-Data-driven character animation based on motion capture can produce
-highly naturalistic behaviors and, when combined with physics simula-
-tion, can provide for natural procedural responses to physical perturbations,
-environmental changes, and morphological discrepancies. Motion capture
-remains the most popular source of motion data, but collecting mocap data
-typically requires heavily instrumented environments and actors. In this
-paper, we propose a method that enables physically simulated characters
-to learn skills from videos (SFV). Our approach, based on deep pose esti-
-mation and deep reinforcement learning, allows data-driven animation to
-leverage the abundance of publicly available video clips from the web, such
-s those from YouTube. This has the potential to enable fast and easy de-
-sign of character controllers simply by querying for video recordings of the"

 a237e3d89c460e1b2e3f12c5d4275bd0c6eb47a8,Domain Adaptation on Graphs by Learning Aligned Graph Bases,"Domain Adaptation on Graphs by Learning
 Aligned Graph Bases
 Mehmet Pilancı and Elif Vural"

@@ -75192,17 +63721,6 @@ September 2011
 Department of Information and Computing Sciences
 Utrecht University, Utrecht, The Netherlands
 www.cs.uu.nl"

-a2fbaa0b849ecc74f34ebb36d1442d63212b29d2,An Efficient Approach to Face Recognition of Surgically Altered Images,"Volume 5, Issue 6, June 2015                                           ISSN: 2277 128X
-International Journal of Advanced Research in
-Computer Science and Software Engineering
-Research Paper
-Available online at: www.ijarcsse.com
-An Efficient Approach to Face Recognition of Surgically
-Altered Images
-Er. Supriya, Er. Sukhpreet Kaur
-Department of computer science and engineering
-SUS college of Engineering and Technology,
-Tangori, District, Mohali, Punjab, India"

 a2fce1c551a3c3b1cac16a96f86a59cd7fbd4c80,Attachment and Children’s Biased Attentional Processing: Evidence for the Exclusion of Attachment-Related Information,"Attachment and Children’s Biased Attentional
 Processing: Evidence for the Exclusion of Attachment-
 Related Information
@@ -75336,14 +63854,6 @@ Bilderatlas
 Leonardo Impett, Sabine S¨usstrunk
 School of Computer and Communication Sciences,
 ´Ecole F´ed´erale Polytechnique de Lausanne, Switzerland"

-f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38,AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH,"Signal & Image Processing : An International Journal (SIPIJ) Vol.8, No.4, August 2017
-AUTOMATIC IMAGE ANNOTATION MODEL
-USING LSTM APPROACH
-Sonu Pratap Singh Gurjar1,  Shivam Gupta1 and Rajeev Srivastava2
-Student, Department of Computer Science and Engineering,
-IIT-BHU, Varanasi, Uttar Pradesh, India
-Professor, Department of Computer Science and Engineering,
-IIT-BHU, Varanasi, Uttar Pradesh, India"

 f3161b75de1e37b0591f250068b676ea72d1ba22,"Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning","Motion Planning Among Dynamic, Decision-Making Agents
 with Deep Reinforcement Learning
 Michael Everett‡, Yu Fan Chen†, and Jonathan P. How‡"

@@ -75366,24 +63876,8 @@ methodology for head pose estimation in the wild
 Fl´avio H. B. Zavan, Antonio C. P. Nascimento, Olga R. P. Bellon and Luciano Silva
 IMAGO Research Group - Universidade Federal do Paran´a"

 f33c427dc152c20537d2857bee1dda2287e85860,Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks,

-f34a6c1bc9a7872c8dc4c35b678f87bb966ab0ab,"PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects","PHOG-Derived Aesthetic Measures Applied
-to Color Photographs of Artworks,
-Natural Scenes and Objects
-Christoph Redies2, Seyed Ali Amirshahi1,2,
-Michael Koch1,2, and Joachim Denzler1
-Computer Vision Group, Friedrich Schiller University Jena, Germany
-http://www.inf-cv.uni-jena.de
-Institute of Anatomy I, Friedrich Schiller University,
-Jena University Hospital, Germany
-http://www.anatomie1.uniklinikum-jena.de"

 f3c60536cf7a397c9df6bca549824841a6d7598c,Automatic architecture selection for probability density function estimation in computer vision,"7308011
 UNIVERSITY  OF  SURREY  LIBRARY"

-f3f65a8113d6a2dcbc690fd47dfee2dff0f41097,Generating 3D Faces Using Convolutional Mesh Autoencoders,"Generating 3D faces using Convolutional Mesh
-Autoencoders
-Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, and Michael J. Black
-Max Planck Institute for Intelligent Systems
-{aranjan, tbolkart, ssanyal,
-T¨ubingen, Germany"

 f36c3ddd43ea7c2e803694aad89e5fd903715c81,"Biometric quality: a review of fingerprint, iris, and face","Bharadwaj et al. EURASIP Journal on Image and Video Processing 2014, 2014:34
 http://jivp.eurasipjournals.com/content/2014/1/34
 REVIEW
@@ -75396,26 +63890,6 @@ Two-Stream Multi-Rate Recurrent Neural
 Network for Video-Based Pedestrian
 Re-Identification
 Zhiqiang Zeng, Zhihui Li*, De Cheng, Huaxiang Zhang, Kun Zhan and Yi Yang"

-f36647e63a11486ef9cf7a5a1c86a40fda5d408a,CS 229 Final Report : Artistic Style Transfer for Face Portraits,"CS 229 Final Report: Artistic Style Transfer for Face Portraits
-Daniel Hsu, Marcus Pan, Chen Zhu
-{dwhsu, mpanj,
-Dec 16, 2016
-Introduction
-The goal of our project is to learn the content and style
-representations of face portraits, and then to combine
-them to produce new pictures. The content features of
-face are the features that identify a face, such as the
-outline shape. The stylistic features are the artistic char-
-cteristics of a certain portrait or painting, such as brush
-strokes, or background color. We forward-pass a content
-image, and several style images through a CNN to ex-
-tract the desired content and style features. Then we
-initialize a white noise image, and perform gradient de-
-scent on its pixels until it matches the desired style and
-ontent features.
-vNet. We hope our project can be a supplement to ex-
-isting implementations.
-Gradient Descent Loss Functions"

 f3002f126f7da75f838637cc314b5f8adc09da53,Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid,"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)
 CUHK(b) XM2VTS(c) AR(d) Lighting(e) Pose(f) CelebrityPhotoMWFcGANpGANFigure1:Examplesoffacesketchesgeneratedfromfacephotostakeninthewild,i.e.,underuncontrolledconditions.Weonlyse-lect88subjectsintheCUHKstudentdatasetfortraining.Thesketchesgeneratedbydata-drivenmethod(MWF),model-basedmethod(cGAN)andourmethod(pGAN)arelistedinthesecond,thirdandfourthrows,respectively.(a)-(f)aretheresultsofdifferenttestingphotosfrom(a)theCUHKstudentdataset,(b)theXM2VTSdataset,(c)theARdataset,(d)thelightingvariationset,(e)theposevariationsetand(f)celebrityphotosobtainedfromtheWeb.Ourmethodachievessatisfactoryresultsundersuchuncontrolledcondi-tions.stillfailtosynthesizefacesketchesinthewild.Insuchcir-cumstances,thetestingphotosaretakenunderdifferentcon-ditionsfromthetrainingphotos,containingvariationsofil-lumination,pose,backgroundandethnicorigin,asshowninFigure1.Althoughtherearesomeworks[Zhangetal.,2010;Zhangetal.,2015b;Pengetal.,2016;Zhangetal.,2017;Songetal.,2017;Zhuetal.,2017b]payingattentiontothischallengingproblem,thesemethodsonlydealwithcertainaspects,suchasthelightingandposevariations[Zhangetal.,2010],thebackgroundandnon-facialfactors[Zhangetal.,2015b]orthelightingvariationsandclutterbackground[Pengetal.,2016].Mostexistingmethodssimulatethepro-cessofsketchsynthesisbyusinglowlevelfeatures,whichishardlytobegeneralizedtouncontrolledconditions.Incon-"

 f3cf10c84c4665a0b28734f5233d423a65ef1f23,Title Temporal Exemplar-based Bayesian Networks for facialexpression recognition,"Title
@@ -75451,10 +63925,6 @@ Department of Computer Science, ETH Zurich, Switzerland
 Vizrt"

 f39b88ac61264e9a33dcdf47722f0d048a8e490f,Interactive Data Integration and Entity Resolution for Exploratory Visual Data Analytics,"(cid:13)Copyright 2015
 Kristi Morton"

-f3b7938de5f178e25a3cf477107c76286c0ad691,Object Detection with Deep Learning: A Review,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, MARCH 2017
-Object Detection with Deep Learning: A Review
-Zhong-Qiu Zhao, Member, IEEE, Peng Zheng,
-Shou-tao Xu, and Xindong Wu, Fellow, IEEE"

 f3ea181507db292b762aa798da30bc307be95344,Covariance Pooling For Facial Expression Recognition,"Covariance Pooling for Facial Expression Recognition
 Computer Vision Lab, ETH Zurich, Switzerland
 VISICS, KU Leuven, Belgium
@@ -75539,16 +64009,6 @@ nd Boosting
 Matthew Cooper
 FX Palo Alto Laboratory
 Palo Alto, CA 94304 USA"

-935ce31268232b25c9f685128ae0ae9e5c3a0e8e,Implementation of Human detection system using DM 3730,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Impact Factor (2012): 3.358
-Implementation of Human detection system using
-DM3730
-Amaraneni Srilaxmi1, Shaik Khaddar Sharif2
-VNR Vignana Jyothi Institute of Engineering & Technology, Bachupally, Hyderabad, India
-VNR Vignana Jyothi Institute of Engineering & Technology, Bachupally, Hyderabad, India
-digital
-ontent  management,"

 93e962f8886eae13b02ad2aa98bdedfbd7e68709,Dual Conditional GANs for Face Aging and Rejuvenation,"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)
 Source： datasets(b)Target: our outputs are a series of images belonging to the same person010Input FaceOutputs2  78x/Age groupy/Personality  2178Non-sequential facial imagesSequential facial imagesFigure1:Anillustrationofourfaceagingandrejuvenationpro-cess.As(a)shows,ourtrainingexamplesarenon-sequentialandun-paired,andweaimtosimultaneouslyrenderaseriesofage-changedfacialimagesofapersonandpreservepersonality,asshownin(b).specificallydescribethechangesoffacesindifferentages.Thesemethodsparametricallymodelshapeandtexturepa-rametersfordifferentfeaturesofeachagegroup,e.g.,mus-cles[Suoetal.,2012],wrinkles[RamanathanandChellappa,2008;Suoetal.,2010]andfacialstructure[RamanathanandChellappa,2006;Lanitisetal.,2002].Ontheotherhand,prototype-basedmethods[KemelmacherShlizermanetal.,2014;Tiddemanetal.,2001]dividefacesintogroupsbyage,andthenconstructanaveragefaceasitsprototypeforeachagegroup.Afterthat,thesemethodscantransferthetexturedifferencebetweentheprototypestotheinputfacialimage.Morerecently,thedeeplearning-basedmethod[Wangetal.,2016;Liuetal.,2017]achievedthestate-of-the-artper-formance.In[Wangetal.,2016],RNNisappliedonthecoefficientsofeigenfacesforagepatterntransition.Itper-formsthegroup-basedlearningwhichrequiresthetrueageoftestingfacestolocalizethetransitionstatewhichmightnotbeconvenient.Inaddition,theseapproachesonlypro-videageprogressionfromyoungerfacetoolderones.Toachieveflexiblebidirectionalagechanges,itmayneedtoretrainthemodelinversely.GenerativeAdversarialNet-"

 93a4c7ac0b09671db8cd3adbe62851d7befc4658,Machine Analysis of Facial Expressions,"We are IntechOpen,
@@ -75643,13 +64103,6 @@ Pascal Fua
 École Polytechnique Fédérale de Lausanne
 Visual Computing Group, University of Victoria
 Kwang Moo Yi"

-dcd88a249b480d2e25326cdd11c5879fa31865cc,A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth,"A Cross-Modal Distillation Network for Person
-Re-identification in RGB-Depth
-Frank Hafner
-, Amran Bhuiyan,
-, Julian F. P. Kooij
-, Eric Granger
-, Member, IEEE"

 dc452f3e531c4057c930f0538d5652ad9034d1aa,Quality metrics for practical face recognition,"1st International Conference on Pattern Recognition (ICPR 2012)
 November 11-15, 2012. Tsukuba, Japan
 978-4-9906441-0-9 ©2012 ICPR"

@@ -75766,26 +64219,6 @@ produced through a custom interface with Amazon Mechanical Turk. This dataset co
 location error of ∼ 7% of a typical body dimension, and orientation error of 12◦, approximating the
 variability of human raters. Our results provide an important step towards ef‌f‌icient image-based
 dense object tracking by allowing for the accurate determination of object location and orientation"

-dcba9cd587be2ed5437370e12e3591bdde86dc3c,TEMPLATE FOR REGULAR ENTRY,"TEMPLATE FOR REGULAR ENTRY
-(ENCYCLOPEDIA OF DATABASE SYSTEMS)
-TITLE OF ENTRY
-Automatic Image Annotation
-BYLINE
-Nicolas Hervé and Nozha Boujemaa, INRIA Paris-Rocquencourt, IMEDIA project, France.
-http://www-rocq.inria.fr/imedia/
-SYNONYMS
-Multimedia Content Enrichment, Image Classification, Object Detection and Recognition,
-Auto-annotation
-DEFINITION
-The widespread search engines, in the professional as well as the personal context, used to work
-on the basis of textual information associated or extracted from indexed documents. Nowadays,
-most of the exchanged or stored documents have multimedia content. To reduce the technological
-gap so that these engines still can work on multimedia content, it is very convenient developing
-methods capable to generate automatically textual annotations and metadata.  These methods will
-then allow to enrich the  upcoming new content or to post-annotate the existing  content with
-dditional information extracted automatically if ever this existing content is partly or not annotated.
-A broad diversity in the typology of manual annotation is usually found in image databases. Part of
-them   is   representing   contextual   information.   The   author,   date,   place   or   technical   shooting"

 dc9a6a821689de877bd07e970e52d4cdb1dd2714,Transfer of gender aftereffects in face silhouettes reveals face-specific mechanisms,"Transfer of gender aftereffects in face silhouettes reveals face-specific mechanisms
 Nicolas Davidenko
 Nathan Witthoft
@@ -75796,13 +64229,6 @@ dc9f29118e38602c03bb2866f8b12ce478aad52c,Large scale evolution of convolutional
 Networks Using Volunteer Computing
 Travis Desell∗
 March 17, 2017"

-dc550f361ae82ec6e1a0cf67edf6a0138163382e,Emotion Based Music Player,"ISSN XXXX XXXX © 2018 IJESC
-Research Article                                                                                                                           Volume 8 Issue No.3
-Vijay Chakole1, Aniket Choudhary2, Kalyani Trivedi3, Kshitija Bhoyar4, Ruchita Bodele5, Sayali Karmore6
-Emotion Based Music Player
-Professor1, UG Student2, 3, 4, 5, 6
-Department of Electronics Engineering
-K.D.K. College of Engineering Nagpur, India"

 dcce157aa2e5db081b36fd16544a038becb408ab,Fast and Accurate Pedestrian Detection in a Truck's Blind Spot Camera,"Fast and Accurate Pedestrian Detection
 in a Truck’s Blind Spot Camera
 Kristof Van Beeck1,2(B) and Toon Goedem´e1,2
@@ -75953,12 +64379,6 @@ Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang and Linda G. Shapiro"
 878301453e3d5cb1a1f7828002ea00f59cbeab06,Faceness-Net: Face Detection through Deep Facial Part Responses,"Faceness-Net: Face Detection through
 Deep Facial Part Responses
 Shuo Yang, Ping Luo, Chen Change Loy, Senior Member, IEEE and Xiaoou Tang, Fellow, IEEE"

-87cab840df202609bfcfb5a9ee3293e61c7c85db,Vision based victim detection from unmanned aerial vehicles,"Vision Based Victim Detection from Unmanned Aerial Vehicles
-Mykhaylo Andriluka1, Paul Schnitzspan1, Johannes Meyer2, Stefan Kohlbrecher1,
-Karen Petersen1, Oskar von Stryk1, Stefan Roth1, and Bernt Schiele1,3
-Department of Computer Science, TU Darmstadt
-Department of Mechanical Engineering, TU Darmstadt
-MPI Informatics, Saarbr¨ucken"

 87ba4cce558c2defde90f4b42853262fd572ca3e,Silhouette estimation.,"J. Opt. Soc. Am. A / Vol. 31, No. 7 / July 2014
 Paxman et al.
 Silhouette estimation
@@ -76066,11 +64486,6 @@ they feel under surveillance or as criminals. Others, in turn, are characterized
 y problems with the acquisition of biometric pattern and require closeness
 to the reader. Among the biometric methods popular technique is to identify
 people on the basis of the face image, the advantage is the ease of obtaining"

-87bba3f4292727091027b7888b5d8f364425344d,End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners,"End-to-End Learning of Driving Models with
-Surround-View Cameras and Route Planners
-Simon Hecker1, Dengxin Dai1, and Luc Van Gool1,2
-ETH Zurich, Zurich, Switzerland
-KU Leuven, Leuven, Belgium"

 87c6ba55b0f817de4504e39dbb201842ae102c9f,Three Dimensional Face Recognition Using Iso-Geodesic and Iso-Depth Curves,"Three Dimensional Face Recognition Using Iso-Geodesic and Iso-Depth
 Curves
 Sina Jahanbin, Hyohoon Choi, Yang Liu, Alan C. Bovik"

@@ -76113,10 +64528,6 @@ V´ıctor Campos∗†, Brendan Jou‡, Xavier Gir´o-i-Nieto§, Jordi Torres†
 Barcelona Supercomputing Center, ‡Google Inc,
 §Universitat Polit`ecnica de Catalunya, ΓColumbia University
 {victor.campos,"

-0b2277a0609565c30a8ee3e7e193ce7f79ab48b0,Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition,"Cost-Sensitive Semi-Supervised Discriminant
-Analysis for Face Recognition
-Jiwen Lu, Member, IEEE, Xiuzhuang Zhou, Member, IEEE, Yap-Peng Tan, Senior Member, IEEE,
-Yuanyuan Shang, Member, IEEE, and Jie Zhou, Senior Member, IEEE"

 0b0eb562d7341231c3f82a65cf51943194add0bb,Facial Image Analysis Based on Local Binary Patterns : A Survey,"> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) <
 Facial Image Analysis Based on Local Binary
 Patterns: A Survey
@@ -76126,10 +64537,6 @@ Detection through Onboard Monocular Vision
 Ruimin Ke1               Jerome Lutin2               Jerry Spears3               Yinhai Wang1,*
 University of Washingtion    2New Jersey Transit    3Washington State Transit Insurance Pool
 {ker27,"

-0b2d49cb2d2de06b022e2c636e337d294171dc22,New features and insights for pedestrian detection,"New Features and Insights for Pedestrian Detection
-Stefan Walk1 Nikodem Majer1 Konrad Schindler1 Bernt Schiele1,2
-Computer Science Department, TU Darmstadt
-MPI Informatics, Saarbr¨ucken"

 0b19177107a102ee81e5ef1bb9fb2f2881441503,Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition,"Hindawi Publishing Corporation
 EURASIP Journal on Advances in Signal Processing
 Volume 2008, Article ID 468693, 7 pages
@@ -76150,8 +64557,6 @@ pairwise recognition system is shown to outperform the multiclass-recognition sy
 test face images.
 Copyright © 2008 J. Uglov et al. This is an open access article distributed under the Creative Commons Attribution License, which
 permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited."

-0b20f75dbb0823766d8c7b04030670ef7147ccdd,Feature selection using nearest attributes,"Feature selection using nearest attributes
-Alex Pappachen James, Member, IEEE, and Sima Dimitrijev, Senior Member, IEEE"

 0b174d4a67805b8796bfe86cd69a967d357ba9b6,A Survey on Face Detection and Recognition Approaches,"Research Journal of Recent Sciences _________________________________________________ ISSN 2277-2502
 Vol. 3(4), 56-62, April (2014)
 Res.J.Recent Sci."

@@ -76164,26 +64569,6 @@ Chih-Yuan Yang Sifei Liu Ming-Hsuan Yang
 Electrical Engineering and Computer Science
 University of California at Merced
 {cyang35, sliu32,"

-0b6c10ea6bf8a6c254e00fcc2163c4b6fc0f1c3a,"Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database, Comparison of Countermeasures, and Human Performance","Anti-Spoofing for Text-Independent Speaker Verification: An
-Initial Database, Comparison of Countermeasures, and Human
-Performance
-Citation for published version:
-Wu, Z, De Leon, P, Demiroglu, C, Khodabakhsh, A, King, S, Ling, Z, Saito, D, Stewart, B, Toda, T, Wester,
-M & Yamagishi, J 2016, 'Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database,
-Comparison of Countermeasures, and Human Performance'  IEEE/ACM Transactions on Audio, Speech,
-nd Language Processing, vol. 24, no. 4, pp. 768 - 783. DOI: 10.1109/TASLP.2016.2526653
-Digital Object Identifier (DOI):
-0.1109/TASLP.2016.2526653
-Link:
-Link to publication record in Edinburgh Research Explorer
-Document Version:
-Peer reviewed version
-Published In:
-General rights
-Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)
-nd / or other copyright owners and it is a condition of accessing these publications that users recognise and
-bide by the legal requirements associated with these rights.
-Take down policy"

 0b70facac4d10c7c73e7fdf3a85848ce429d98ab,"Segmentation features, visibility modeling and shared parts for object detection","Segmentation Features, Visibility Modeling and
 Shared Parts for Object Detection
 Patrick Ott
@@ -76257,12 +64642,6 @@ Weipeng Xu[1,2], Srinath Sridhar[3], Gerard Pons-Moll[1,2], Christian Theobalt[1
 [1] MPI For Informatics
 [2] Saarland Informatics Campus
 [3] Stanford University"

-0bf2765d431c16de7b8f9c644684e69fa52598eb,Integrating Remote PPG in Facial Expression Analysis Framework,"Integrating Remote PPG in Facial Expression Analysis
-Framework
-H. Emrah Tasli
-Marten den Uyl
-Vicarious Perception Technologies, Amsterdam, The Netherlands
-Amogh Gudi"

 0b888196dda951287dddb60bd44798aab16d6fca,Learning Common Sense through Visual Abstraction,

 0b937abb3b356a2932d804f9fc4b463485f63d0e,Visual word disambiguation by semantic contexts,"Visual word disambiguation by semantic contexts
 Yu Su, Frédéric Jurie
@@ -76297,15 +64676,6 @@ Retrieval in Large Scale Databases
 Simone Ercoli, Marco Bertini and Alberto Del Bimbo
 Media Integration and Communication Center, Università degli Studi di Firenze
 Viale Morgagni 65 - 50134 Firenze, Italy"

-0b87d91fbda61cdea79a4b4dcdcb6d579f063884,Research on Theory and Method for Facial Expression Recognition System Based on Dynamic Image Sequence,"The Open Automation and Control Systems Journal, 2015, 7, 569-579
-Open Access
-Research  on  Theory  and  Method  for  Facial  Expression  Recognition  Sys-
-tem Based on Dynamic Image Sequence
-Send Orders for Reprints to
-Yang Xinfeng1,* and Jiang Shan2
-School  of  Computer  &  Information  Engineering,  Nanyang  Institute  of  Technology,  Henan,  Nanyang,  473000,  P.R.
-China
-Henan University of Traditional Chinese Medicine, Henan, Zhengzhou, 450000, P.R. China"

 0bbd0060e79c5370c6d07bef7b5830e8732e7c1b,Automatic tracker selection w.r.t object detection performance,"Automatic Tracker Selection w.r.t Object Detection Performance
 Duc Phu Chau
 Monique Thonnat
@@ -76405,26 +64775,6 @@ Algorithms⋆
 Nikolay Degtyarev and Oleg Seredin
 Tula State University
 http://lda.tsu.tula.ru"

-0b3a5267c6543a8b4ff3473199bbc648596f6776,Supplementary Material for Superpixel Convolutional Networks using Bilateral Inceptions,"Supplementary Material for
-Superpixel Convolutional Networks using
-Bilateral Inceptions
-Raghudeep Gadde1(cid:63), Varun Jampani2(cid:63), Martin Kiefel2,3, Daniel Kappler2, and
-Peter V. Gehler2,3
-Universit´e Paris-Est, LIGM (UMR 8049), CNRS, ENPC, ESIEE, UPEM, France
-Max Planck Institute for Intelligent Systems, T¨ubingen, Germany
-Bernstein Center for Computational Neuroscience, T¨ubingen, Germany
-In this supplementary, we first discuss the use of an approximate bilateral
-filtering in BI modules (Sec. 1). Later, we present some qualitative results using
-different models for the approach presented in the main paper (Sec. 2).
-Approximate Bilateral Filtering
-The bilateral inception module presented in the main paper computes a matrix-
-vector product between a Gaussian filter K and a vector of activations zc. Bi-
-lateral filtering is an important operation and many algorithmic techniques have
-een proposed to speed-up this operation [1,2,3]. In the main paper we opted
-to implement what can be considered the brute-force variant of explicitly con-
-structing K and then using BLAS to compute the matrix-vector product. This
-resulted in a few millisecond operation. The explicit way to compute is possi-
-le due to the reduction to super-pixels, e.g., it would not work for DenseCRF"

 0babc4af06d210cf38bdf8324c339b6cf3f424fa,A Predictive Model of Patient Readmission Using Combined ICD-9 Codes as Engineered Features,"A Predictive Model of Patient Readmission Using Combined ICD-9
 Codes as Engineered Features"

 0b4c4ea4a133b9eab46b217e22bda4d9d13559e6,MORF: Multi-Objective Random Forests for face characteristic estimation,"MORF: Multi-Objective Random Forests for Face Characteristic Estimation
@@ -76442,20 +64792,6 @@ Punarjay Chakravarty
 Tinne Tuytelaars
 KU Leuven, ESAT-PSI, iMinds, Belgium
 {rahaf.aljundi, Punarjay.Chakravarty,"

-0bfabcf5c74cc17fe8b5777093699789411868b9,Predictive Tagging of Social Media Images using Unsupervised Learning,"International Journal of Computer Applications (0975 – 8887)
-Volume 65– No.24, March 2013
-Predictive Tagging of Social Media Images using
-Unsupervised Learning
-Nishchol Mishra
-Asstt. Professor
-School of IT
-RGPV, Bhopal
-India
-Sanjay Silakari, PhD.
-Professor, Deptt. Of CSE
-UIT- RGPV
-Bhopal
-India"

 0b4453df81091bcdafedc07b64bea946bf3441b2,Fast and Accurate 3 D Face Recognition Using Registration to an Intrinsic Coordinate System and Fusion of Multiple Region Classifiers,"Int J Comput Vis
 DOI 10.1007/s11263-011-0426-2
 Fast and Accurate 3D Face Recognition
@@ -76485,22 +64821,6 @@ Graduate School."
 Francesco Solera Simone Calderara Rita Cucchiara
 Department of Engineering
 University of Modena and Reggio Emilia"

-0b572a2b7052b15c8599dbb17d59ff4f02838ff7,Automatic Subspace Learning via Principal Coefficients Embedding,"Automatic Subspace Learning via Principal
-Coefficients Embedding
-Xi Peng, Jiwen Lu, Senior Member, IEEE, Zhang Yi, Fellow, IEEE and Rui Yan, Member, IEEE,"

-0b43a712f055f788fd0502cac4455e254b1adbeb,Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning,"IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. XX, NO. XX, XX XX
-Multi-modal Face Pose Estimation with
-Multi-task Manifold Deep Learning
-Chaoqun Hong, Jun Yu, Member, IEEE, and Jian Zhang"

-0b278c9dc9b16b46ed602eab884ad7a37a988031,Robust Face-Name Graph Matching for Movie Character Identification,"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391
-Robust Face-Name Graph Matching for Movie
-Character Identification
-Jonnadula Narasimha1, S Nishanth Kumar2, Chiluka Shiva Kumar3, D Vamshi Krishna Rao4
-Associate Professor, Department of Computer Science and Engineering, CMR Technical Campus,
-Medchal, Hyderabad, Telangana, India
-, 3, 4Department of Computer Science and Engineering, CMR Technical Campus, Medchal, Hyderabad, Telangana, India"

 0b605b40d4fef23baa5d21ead11f522d7af1df06,Label-Embedding for Attribute-Based Classification,"Label-Embedding for Attribute-Based Classification
 Zeynep Akataa,b, Florent Perronnina, Zaid Harchaouib and Cordelia Schmidb
 Computer Vision Group∗, XRCE, France
@@ -76563,39 +64883,11 @@ Domingo Mery, Vladimir Riffo, Irene Zuccar, Christian Pieringer
 Department of Computer Science – Pontificia Universidad Cat´olica de Chile
 Av. Vicu˜na Mackenna 4860(143) – Santiago de Chile
 http://dmery.ing.puc.cl"

-0b0b0d9b15613a6e3c4f9a4dd1c17c0313ca4303,Evaluation of 3D Face Recognition in the presence of facial expressions: an Annotated Deformable Model approach,"D face recognition
-in the presence of facial expressions:
-An annotated deformable model approach
-I.A. Kakadiaris, Member, IEEE, G. Passalis, G. Toderici, N. Murtuza, Y. Lu,
-N. Karampatziakis, and T. Theoharis
-August 15, 2006
-DRAFT"

-0bddd3a4f45ef68faeb96cee89ff763e8e497af1,Regularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising Autoencoders,"Original Research Paper
-American Journal of Applied Sciences
-Regularization Method for Solving Denoising and Inpainting
-Task Using Stacked Sparse Denoising Autoencoders
-Pavel Vyacheslavovich Skribtsov and Sergey Olegovich Surikov
-PAWLIN Technologies Ltd, Dubna, Russia
-Article history
-Received: 06-10-2015
-Revised: 01-01-2016
-Accepted: 13-01-2016
-Corresponding Author:
-Pavel Vyacheslavovich Skribtsov,
-PAWLIN Technologies Ltd,
-Dubna, Russia
-Email:
-Introduction
-image  denoising  and"

 0b3a146c474166bba71e645452b3a8276ac05998,Who ’ s in the Picture ?,"Who’s in the Picture?
 Tamara L. Berg, Alexander C. Berg, Jaety Edwards and D.A. Forsyth
 Berkeley, CA 94720
 Computer Science Division
 U.C. Berkeley"

-0b6a5200c33434cbfa9bf24ba482f6e06bf5fff7,"The use of deep learning in image segmentation, classification and detection","The Use of Deep Learning in Image
-Segmentation, Classification and Detection
-Mihai-Sorin Badea, Iulian-Ionuț Felea, Laura Maria Florea, Constantin Vertan
-The Image Processing and Analysis Lab (LAPI), Politehnica University of Bucharest, Romania"

 b47ea4d5b0040d85181925bda74da4ab5303768f,LIFEisGAME: A Facial Character Animation System to Help Recognize Facial Expressions,"LIFEisGAME:A Facial Character Animation System to
 Help Recognize Facial Expressions
 Tiago Fernandes1,5, Samanta Alves2, José Miranda3,5, Cristina Queirós2,
@@ -76734,13 +65026,6 @@ Christian Eggert
 Multimedia Computing and Computer Vision Lab
 {anton.winschel, rainer.lienhart,
 University of Augsburg, Germany"

-b419e0e1192d307d536421d811d10657f65eb72b,Face Recognition using DCT based Energy Discriminant Mask,"International Journal of Computer Applications (0975 – 8887)
-Volume 170 – No.5, July 2017
-Face Recognition using DCT based Energy
-Discriminant Mask
-Vikas Maheshkar
-Division of Information technology
-New Delhi, India"

 b49aa569ff63d045b7c0ce66d77e1345d4f9745c,Convolutional Neural Networks for Crop Yield Prediction using Satellite Images,"Convolutional Neural Networks for Crop Yield Prediction using Satellite Images
 H. Russello"

 b4270de7380d305b4417f662686093c40d842da4,UNIVERSITY OF CALIFORNIA RIVERSIDE Graphical Models for Wide-Area Activity Analysis in Continuous Videos A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy,"UNIVERSITY OF CALIFORNIA
@@ -76780,9 +65065,6 @@ of image clusters
 Stephan Gammeter1, Till Quack1, David Tingdahl2, and Luc van Gool1,2
 BIWI, ETH Z¨urich1 http://www.vision.ee.ethz.ch
 VISICS, K.U. Leuven2 http://www.esat.kuleuven.be/psi/visics"

-b45a9f95980c434582c920bf15a8099ec267c1f7,Robust Kronecker Component Analysis,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015
-Robust Kronecker Component Analysis
-Mehdi Bahri, Student Member, IEEE, Yannis Panagakis, and Stefanos Zafeiriou, Member, IEEE"

 b4b1b39f8902208bbd37febfb68e08809098036d,TRECVid Semantic Indexing of Video : A 6-year Retrospective,"UvA-DARE (Digital Academic Repository)
 TRECVid Semantic Indexing of Video: A 6-year Retrospective
 Awad, G.; Snoek, C.G.M.; Smeaton, A.F.; Quénot, G.
@@ -76810,9 +65092,6 @@ Network
 Khan Farheen Wahab, 2Aniruddha Kailuke
 ,2Department of Electronics (Communication), Priyadarshini Institute of Engineering, The University of Nagpur
 (RTMNU) Nagpur"

-b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba,Recognizing Disguised Faces in the Wild,"Recognizing Disguised Faces in the Wild
-Maneet Singh, Student Member, IEEE, Richa Singh, Senior Member, IEEE, Mayank Vatsa, Senior
-Member, IEEE, Nalini Ratha, Fellow, IEEE, and Rama Chellappa, Fellow, IEEE"

 b4b6a0129bf6a716fca80a4cfc322687a72fa927,Automatic Generation of Planar Marionettes from Frontal Images,"Automatic Generation of Planar Marionettes from Frontal Images
 Elad Richardson and Gil Ben-Shachar
 Supervised by Anastasia Dubrovina and Aaron Weltzer"

@@ -76831,14 +65110,6 @@ Advisor: Xavier Giró i Nieto
 Barcelona, July 2015"

 b49affdff167f5d170da18de3efa6fd6a50262a2,Linking Names and Faces : Seeing the Problem in Different Ways,"Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France
 (2008)"""

-b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,"Autonomous Learning Framework Based on Online Hybrid
-Classifier for Multi-view Object Detection in Video
-Dapeng Luoa*Zhipeng Zenga Longsheng Weib Yongwen Liua Chen Luoc Jun Chenb Nong Sangd
-School of Electronic Information and Mechanics, China University of Geosciences, Wuhan, Hubei 430074, China
-School of Automation, China University of Geosciences, Wuhan, Hubei 430074, China
-Huizhou School Affiliated to Beijing Normal University, Huizhou 516002, China
-dNational Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong
-University of Science and Technology, Wuhan, 430074, China"

 b4ee64022cc3ccd14c7f9d4935c59b16456067d3,Unsupervised Cross-Domain Image Generation,"Unsupervised Cross-Domain Image Generation
 Xinru Hua, Davis Rempe, and Haotian Zhang"

 b40881a905cf6c4963658df4f64b860f9b1755fe,Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation,"Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
@@ -76881,9 +65152,6 @@ Palabras clave: Expresiones faciales, clasificaci´on, m´aquinas de soporte
 vectorial,modelos activos de apariencia.
 Facial Expressions Recognition Based on Facial
 Landmarks Dynamics"

-a0fd85b3400c7b3e11122f44dc5870ae2de9009a,Learning Deep Representation for Face Alignment with Auxiliary Attributes,"Learning Deep Representation for Face
-Alignment with Auxiliary Attributes
-Zhanpeng Zhang, Ping Luo, Chen Change Loy, Member, IEEE and Xiaoou Tang, Fellow, IEEE"

 a0541d4a28d90a17cd3eaa9d1797882eacc8ccf0,Improving Person Re-identification via Pose-Aware Multi-shot Matching,"Improving Person Re-identification via Pose-aware Multi-shot Matching
 Yeong-Jun Cho and Kuk-Jin Yoon
 Computer Vision Laboratory, GIST, South Korea
@@ -76952,25 +65220,11 @@ S. Muruganantham† and  Dr. T. Jebarajan††,
 Assistant Professor, S.T.Hindu College, Nagercoil.
 Principal, Kings College of Engineering, Chennai.
 that  compensates"

-a012b41fc54060e11744db20ef6d191b290f1879,Unconstrained Face Recognition From Blurred and Illumination with Pose Variant Face Image Using SVM,"ISSN(Online): 2320-9801
-ISSN (Print):  2320-9798
-International Journal of Innovative Research in Computer and Communication Engineering
-(An ISO 3297: 2007 Certified Organization)
-Vol.2, Special Issue 1, March 2014
-Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14)
-Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014
-Organized by
-Unconstrained Face Recognition From Blurred and
-Illumination with Pose Variant Face Image Using
-Dept. of CSE, PG Student (SE), Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India1
-C.Indhumathi1"

 a01f9461bc8cf8fe40c26d223ab1abea5d8e2812,Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors,"Facial Age Estimation Through the Fusion of Texture
 nd local appearance Descriptors
 Ivan Huerta1, Carles Fern´andez2, and Andrea Prati1
 DPDCE, University IUAV, Santa Croce 1957, 30135 Venice, Italy
 Herta Security, Pau Claris 165 4-B, 08037 Barcelona, Spain"

-a05a770bb2b7778e195a578006482926dfc1af82,Learning to Recognize Pedestrian Attribute,"Learning to Recognize Pedestrian Attribute
-Yubin Deng, Ping Luo, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE"

 a0e5afb1237d47f7a8ac66e7b5ada24cec5222cb,Semantic pooling for image categorization using multiple kernel learning,"SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL
 LEARNING
 Thibaut Durand(1,2), David Picard(1), Nicolas Thome(2), Matthieu Cord(2)
@@ -77005,13 +65259,6 @@ Using Arm 11
 K. Sri Krishna Aditya1, T. Surya Kavita2, U. Yedukondalu3
 Assistant Professor, 2Associate Professor, 3Head of the Department E.C.E.
 Aditya Engineering College, 2Aditya Engineering College, 3Aditya Engineering College"

-a0ae4ffe252f32514240cf6d82d52538de5fb78c,AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES,"AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE
-SEQUENCES
-V. V. Kniaza,b, V. V. Fedorenkoa (cid:3)
-State Res. Institute of Aviation Systems (GosNIIAS), Moscow, Russia - (vl.kniaz,
-Moscow Institute of Physics and Technology (MIPT), Russia
-KEY WORDS: pedestrian detection, optical flow, thermal vision, mobile robots
-Commission II, WG II/5"

 a079309d28b6f8753ca26a789bd0bc43de9bd9f8,Interpretable Counting for Visual Question Answering,"Published as a conference paper at ICLR 2018
 INTERPRETABLE COUNTING FOR VISUAL QUESTION
 ANSWERING
@@ -77029,10 +65276,6 @@ Institute of Computer Science, FORTH
 Computer Science Department, UOC
 Antonis Argyros1,2"

 a0c37f07710184597befaa7e6cf2f0893ff440e9,Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning,

-a0703bef11c978cc8faf05eb229e29a889f8a0b1,Superpixel Hierarchy,"Superpixel Hierarchy
-Xing Wei, Qingxiong Yang, Member, IEEE, Yihong Gong, Member, IEEE, Ming-Hsuan Yang, Senior
-Member, IEEE, Narendra Ahuja, Fellow, IEEE,
-http://www.cs.cityu.edu.hk/∼qiyang/publications/SH/"

 a098fab95db313d8bd2a5175b519d7de5a3a675a,Performance evaluation and comparison of PCA Based human face recognition methods for distorted images,"Int. J. Mach. Learn. & Cyber. (2011) 2:245–259
 DOI 10.1007/s13042-011-0023-2
 O R I G I N A L A R T I C L E
@@ -77137,26 +65380,6 @@ Universitat Pompeu Fabra (DTIC)
 Barcelona, Spain
 Centre de Visió per Computador
 Barcelona, Spain"

-434300db45ea1b0b36b0c606ca728aaaed235275,The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition,"IEICE TRANS. INF. & SYST., VOL.E96–D, NO.3 MARCH 2013
-PAPER SpecialSectiononFacePerceptionandRecognition
-The Effect of Distinctiveness in Recognizing Average Face: Human
-Recognition and Eigenface Based Machine Recognition
-Naiwala P. CHANDRASIRI†∗a), Ryuta SUZUKI†, Nobuyuki WATANABE†∗∗, Nonmembers,
-nd Hiroshi YAMADA†, Member
-SUMMARY
-Face perception and recognition have attracted more at-
-tention recently in multidisciplinary fields such as engineering, psychol-
-ogy, neuroscience, etc. with the advances in physical/physiological mea-
-surement and data analysis technologies.
-In this paper, our main inter-
-est is building computational models of human face recognition based on
-psychological experiments. We specially focus on modeling human face
-recognition characteristics of average face in the dimension of distinctive-
-ness. Psychological experiments were carried out to measure distinctive-
-ness of face images and their results are explained by computer analysis
-results of the images. Two psychological experiments, 1) Classical exper-
-iment of distinctiveness rating and, 2) Novel experiment of recognition of
-n average face were performed."

 43cb50f669a0d492256d11c6cc4128ba0ce79a3e,Per-Pixel Feedback for improving Semantic Segmentation,"Indian Institute of Technology Roorkee
 Department of Mathematics
 Per-Pixel Feedback for improving Semantic
@@ -77214,13 +65437,6 @@ for Facial Expression Recognition
 Caifeng Shan and Tommaso Gritti
 Philips Research, High Tech Campus 36, Eindhoven 5656 AE, The Netherlands
 {caifeng.shan,"

-433bb809862f472d6f7f82c5e1f677d194c3fbb3,An Experimental Investigation about the Integration of Facial Dynamics in Video-Based Face Recognition,"Electronic Letters on Computer Vision and Image Analysis 5(1):1-13, 2005
-An Experimental Investigation about the Integration of Facial
-Dynamics in Video-Based Face Recognition
-Abdenour Hadid and Matti Pietik¨ainen
-Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering
-P.O. Box 4500 FIN-90014 University of Oulu, Finland
-Received 14 December 2004; accepted 1 February 2005"

 4344413b7814b2ba99cc79ead2903f259e98ed4b,Modelling Uncertainty in Representation of Facial Features for Face Recognition,"We are IntechOpen,
 the world’s leading publisher of
 Open Access books
@@ -77274,10 +65490,6 @@ in rats exposed to valproic acid prenatally
 Catherine E. Barrett 1,2*, Thomas M. Hennessey1,2, Katelyn M. Gordon1,2, Steve J. Ryan1,2, Morgan L. McNair1,2,
 Kerry J. Ressler3 and Donald G. Rainnie1,2
 Open Access"

-43ae4867d058453e9abce760ff0f9427789bab3a,Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction,"Graph Embedded Nonparametric Mutual
-Information For Supervised
-Dimensionality Reduction
-Dimitrios Bouzas, Nikolaos Arvanitopoulos, Student Member, IEEE, and Anastasios Tefas, Member, IEEE"

 439da29cf857151f386e6af488b2d60c098c4fd8,Person Authentication Using Color Face Recognition,"Kiran Davakhar et al. Int. Journal of Engineering Research and Applications               www.ijera.com
 Vol. 3, Issue 5, Sep-Oct 2013, pp.178-182
 RESEARCH ARTICLE                                                                               OPEN ACCESS
@@ -77286,10 +65498,6 @@ Kiran Davakhar1, S. B. Mule2, Achala Deshmukh3
 (Department of E&TC, Sinhgad COE, Vadgaon, Pune, Pune University, India)
 (Department of E&TC, Sinhgad COE, Vadgaon, Pune, Pune University, India)
 (Department of E&TC, Sinhgad COE, Vadgaon, Pune, Pune University, India)"

-434a0aebf3522638d75614b0de1f0c2dcc1b19f1,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,"Visual Analytics in Deep Learning:
-An Interrogative Survey for the Next Frontiers
-Fred Hohman, Member, IEEE, Minsuk Kahng, Member, IEEE, Robert Pienta, Member, IEEE,
-nd Duen Horng Chau, Member, IEEE"

 43d4927f5113c5e376ab05d41e33063a6d06d727,Pedestrian Detection : Exploring Virtual Worlds,"Pedestrian Detection: Exploring Virtual Worlds
 Javier Mar´ın
 Computer Vision Center,
@@ -77341,30 +65549,6 @@ Faculty of Computer Science and Information Technology, University Putra Malaysi
 E-mail:
 systems
 surveillance"

-432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,"International Journal of Computer Applications (0975 – 8887)
-Recent Advances in Information Technology, 2014
-Classification of Diseased Arecanut based on Texture
-Suresha M
-Department of Computer
-Science
-Kuvempu University
-Karnataka, India
-Features
-Ajit Danti
-Department of MCA
-JNN College of Engineering
-Karnataka, India
-S. K Narasimhamurthy
-Department of Mathematics
-Kuvempu University
-Karnataka, India"

-43fb9efa79178cb6f481387b7c6e9b0ca3761da8,Mixture of parts revisited: Expressive part interactions for Pose Estimation,"Mixture of Parts Revisited: Expressive Part Interactions for Pose Estimation
-Anoop R Katti
-IIT Madras
-Chennai, India
-Anurag Mittal
-IIT Madras
-Chennai, India"

 43167658228d59b81d48fce14bba4ae616b866ec,Face Recognition Using Multi-Classifier,"Applied Mathematical Sciences, Vol. 6, 2012, no. 45, 2235 - 2244
 Face Recognition Using Multi-Classifier
 Mohammad Said El-Bashir
@@ -77428,10 +65612,6 @@ Pedestrian-Agents
 Bolei Zhou · Xiaoou Tang · Xiaogang Wang
 Received: 9 September 2013 / Accepted: 24 May 2014
 © Springer Science+Business Media New York 2014"

-4338b6137ee0d02f4bebd14e9a2430c837590209,Automatic eyeglasses removal from face images,"Automatic Eyeglasses Removal
-from Face Images
-Chenyu Wu, Ce Liu, Heung-Yueng Shum, Member, IEEE, Ying-Qing Xu, and
-Zhengyou Zhang, Senior Member, IEEE"

 434bf475addfb580707208618f99c8be0c55cf95,DeXpression: Deep Convolutional Neural Network for Expression Recognition,"UNDER CONSIDERATION FOR PUBLICATION IN PATTERN RECOGNITION LETTERS
 DeXpression: Deep Convolutional Neural
 Network for Expression Recognition
@@ -77439,15 +65619,6 @@ Peter Burkert∗‡, Felix Trier∗‡, Muhammad Zeshan Afzal†‡,
 Andreas Dengel†‡ and Marcus Liwicki‡
 German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
 University of Kaiserslautern, Gottlieb-Daimler-Str., Kaiserslautern 67663, Germany"

-43d073d3fdc22f0d74793fdac47ff56b66c95990,Online Localization and Prediction of Actions and Interactions,"Online Localization and Prediction of
-Actions and Interactions
-Khurram Soomro, Member, IEEE, Haroon Idrees, Member, IEEE, and Mubarak Shah, Fellow, IEEE"

-4335d53e763b2caf20f06928cd420ae09e5041ad,Discrete-continuous optimization for multi-target tracking,"Discrete-Continuous Optimization for Multi-Target Tracking
-Anton Andriyenko1
-Konrad Schindler2
-Stefan Roth1
-Department of Computer Science, TU Darmstadt
-Photogrammetry and Remote Sensing Group, ETH Z¨urich"

 439ac8edfa1e7cbc65474cab544a5b8c4c65d5db,Face authentication with undercontrolled pose and illumination,"SIViP (2011) 5:401–413
 DOI 10.1007/s11760-011-0244-6
 ORIGINAL PAPER
@@ -77460,20 +65631,6 @@ Online Multi-Target Tracking
 with Unified Handling of Complex Scenarios
 Huaizu Jiang, Jinjun Wang, Yihong Gong, Senior Member, IEEE
 Na Rong, Zhenhua Chai, and Nanning Zheng, Fellow, IEEE"

-43e77b5157b0fa0f365808e26af287c3164e002f,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,"UnFlow: Unsupervised Learning of Optical Flow
-with a Bidirectional Census Loss
-Simon Meister, Junhwa Hur, Stefan Roth
-Department of Computer Science
-TU Darmstadt, Germany"

-43bf6489abd63992b82f2008b4417a1638955f0c,Illumination Spaces in YDB and CMU-PIE,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 31, NO. 2, FEBRUARY 2009
-Short Papers___________________________________________________________________________________________________
-Principal Angles Separate Subject
-Illumination Spaces in YDB and CMU-PIE
-J. Ross Beveridge, Member, IEEE,
-Bruce A. Draper, Member, IEEE,
-Jen-Mei Chang, Michael Kirby,
-Holger Kley, and
-Chris Peterson"

 434c2c53af7b3cb3c0a47583a372fa3dc8143951,DeeSIL: Deep-Shallow Incremental Learning,"DeeSIL: Deep-Shallow Incremental Learning
 Eden Belouadah, Adrian Popescu
 CEA, LIST, Vision and Content Engineering Lab, F-91191 Gif-sur-Yvette, France"

@@ -77526,27 +65683,6 @@ b0554290e1c1d19ee5378485fadd1ff99c31bf2d,VANETs Meet Autonomous Vehicles: A Mult
 A Multimodal 3D Environment Learning Approach
 Yassine Maalej, Sameh Sorour, Ahmed Abdel-Rahim and Mohsen Guizani
 University of Idaho, Moscow, ID, USA"

-b0771b7ca52022b37a563464f823af67c0b36c03,Image Retrieval Technique Using Local Binary Pattern ( LBP ),"International Journal of Science and Research (IJSR)
-ISSN (Online): 2319-7064
-Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438
-Image Retrieval Technique Using Local Binary
-Pattern (LBP)
-Miss. Priyanka Pawar1, P.P.Belagali2
-P.G Student, Department of Electronics Engineering, Shivaji University, Dr.J.J.M.C.O.E Jaysingpur, Kolhapur, India
-Associate Professor, Department of Electronics Engineering, Shivaji University, Dr.J.J.M.C.O.E Jaysingpur, Kolhapur, India"

-b0b628bda8a6c4267eeaf91420b8610400ff398f,Intact emotion facilitation for nonsocial stimuli in autism: is amygdala impairment in autism specific for social information?,"Journal of the International Neuropsychological Society (2008), 14, 42–54.
-Copyright © 2008 INS. Published by Cambridge University Press. Printed in the USA.
-DOI: 10.10170S1355617708080107
-Intact emotion facilitation for nonsocial stimuli in autism:
-Is amygdala impairment in autism specific
-for social information?
-MIKLE SOUTH,1,2 SALLY OZONOFF,3 YANA SUCHY,1,4 RAYMOND P. KESNER,1,4
-WILLIAM M. McMAHON,2,4 and JANET E. LAINHART2,4
-Department of Psychology, University of Utah, Salt Lake City, Utah
-Department of Psychiatry, University of Utah School of Medicine and Utah Autism Research Project, Salt Lake City, Utah
-M.I.N.D. Institute, Department of Psychiatry and Behavioral Sciences, University of California–Davis, Sacramento, California
-The Brain Institute at the University of Utah, Salt Lake City, Utah
-(Received April 25, 2007; Final Revision July 11, 2007; Accepted July 18, 2007)"

 b05ac3b2286c30fcab385f682b3519a823857112,UvA-DARE ( Digital Academic Repository ) Spatial frequency information modulates response inhibition and decision-making processes,"UvA-DARE (Digital Academic Repository)
 Spatial frequency information modulates response inhibition and decision-making
 processes
@@ -77658,9 +65794,6 @@ Zhuowen Tu
 Dept. of CogSci"

 b0158b26f01d5fa18aac51ece055cad9a12f6d87,Memory-based Gait Recognition,"Pages 82.1-82.12
 DOI: https://dx.doi.org/10.5244/C.30.82"

-b0760764dc573b519f76d5a79531d49af333c67a,Neural Style Transfer: A Review,"Neural Style Transfer: A Review
-Yongcheng Jing, Yezhou Yang, Member, IEEE, Zunlei Feng, Jingwen Ye,
-Yizhou Yu, Senior Member, IEEE, and Mingli Song, Senior Member, IEEE"

 b09b693708f412823053508578df289b8403100a,Two-Stream SR-CNNs for Action Recognition in Videos,"WANG et al.: TWO-STREAM SR-CNNS FOR ACTION RECOGNITION IN VIDEOS
 Two-Stream SR-CNNs for Action
 Recognition in Videos
@@ -77687,13 +65820,6 @@ b0de0892d2092c8c70aa22500fed31aa7eb4dd3f,A Robust and Efficient Video Representa
 A robust and efficient video representation for action recognition
 Heng Wang · Dan Oneata · Jakob Verbeek · Cordelia Schmid
 Received: date / Accepted: date"

-b02342a423eef6e19f473eba26b067405b525f16,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,"CO-OCCURRENCE MATRIX ANALYSIS-BASED SEMI-SUPERVISED TRAINING FOR
-OBJECT DETECTION
-Min-Kook Choi1, Jaehyeong Park1, Jihun Jung1, Heechul Jung2, Jin-Hee Lee1,
-Woong Jae Won1, Woo Young Jung1, Jincheol Kim3, and Soon Kwon1∗
-DGIST, Daegu, Republic of Korea1
-KAIST, Daejeon, Republic of Korea2
-SK Telecom, Seoul, Republic of Korea3"

 b07582d1a59a9c6f029d0d8328414c7bef64dca0,Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition,"Employing Fusion of Learned and Handcrafted
 Features for Unconstrained Ear Recognition
 Maur´ıcio Pamplona Segundo∗†