2 files changed, 35 insertions, 75 deletions

diff --git a/reports/stats/geocoded_papers.csv b/reports/stats/geocoded_papers.csv
index 39309ca0..67316468 100644
--- a/reports/stats/geocoded_papers.csv
+++ b/reports/stats/geocoded_papers.csv
@@ -159,6 +159,8 @@
 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,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,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,

+68e9c837431f2ba59741b55004df60235e50994d,Detecting Faces Using Region-based Fully Convolutional Networks,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"

+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,

 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,

 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,

@@ -370,6 +372,7 @@
 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,

 69d29012d17cdf0a2e59546ccbbe46fa49afcd68,Subspace clustering of dimensionality-reduced data,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu,

 69a68f9cf874c69e2232f47808016c2736b90c35,Learning Deep Representation for Imbalanced 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,

+69a68f9cf874c69e2232f47808016c2736b90c35,Learning Deep Representation for Imbalanced Classification,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"

 69a68f9cf874c69e2232f47808016c2736b90c35,Learning Deep Representation for Imbalanced Classification,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,

 69b18d62330711bfd7f01a45f97aaec71e9ea6a5,M-Track: A New Software for Automated Detection of Grooming Trajectories in Mice,SUNY Polytechnic Institute,State University of New York Polytechnic Institute,"State University of New York Polytechnic Institute, 100, Seymour Road, Maynard, Town of Marcy, Oneida County, New York, 13502, USA",43.13800205,-75.22943591,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,

@@ -561,6 +564,7 @@
 93747de3d40376761d1ef83ffa72ec38cd385833,Team members' emotional displays as indicators of team functioning.,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,

 93747de3d40376761d1ef83ffa72ec38cd385833,Team members' emotional displays as indicators of team functioning.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu,

 93747de3d40376761d1ef83ffa72ec38cd385833,Team members' emotional displays as indicators of team functioning.,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,

+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"

 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,

 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,

 93af36da08bf99e68c9b0d36e141ed8154455ac2,A Dditive M Argin S Oftmax for F Ace V Erification,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,

@@ -708,6 +712,7 @@
 334e65b31ad51b1c1f84ce12ef235096395f1ca7,2 Emotion in Human - Computer Interaction Acknowledgements,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu,

 3328413ee9944de1cc7c9c1d1bf2fece79718ba1,Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu,

 3328413ee9944de1cc7c9c1d1bf2fece79718ba1,Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,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"

 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,

 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,

 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,

@@ -786,6 +791,7 @@
 02cc96ad997102b7c55e177ac876db3b91b4e72c,"MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding",University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu,

 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,

 023ed32ac3ea6029f09b8c582efbe3866de7d00a,Discriminative learning from partially annotated examples,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,

+023ed32ac3ea6029f09b8c582efbe3866de7d00a,Discriminative learning from partially annotated examples,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,

 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,

 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,

 025720574ef67672c44ba9e7065a83a5d6075c36,Unsupervised Learning of Video Representations using LSTMs,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,

@@ -927,6 +933,7 @@ d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accu
 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,

 d78734c54f29e4474b4d47334278cfde6efe963a,Exploring Disentangled Feature Representation Beyond Face 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,

+d78734c54f29e4474b4d47334278cfde6efe963a,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"

 d785fcf71cb22f9c33473cba35f075c1f0f06ffc,Learning active facial patches for expression analysis,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu,

 d785fcf71cb22f9c33473cba35f075c1f0f06ffc,Learning active facial patches for expression 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,

 d785fcf71cb22f9c33473cba35f075c1f0f06ffc,Learning active facial patches for expression 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,

@@ -1149,6 +1156,7 @@ d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generat
 d8722ffbca906a685abe57f3b7b9c1b542adfa0c,Facial Expression Analysis for Human Computer Interaction,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu,

 d8896861126b7fd5d2ceb6fed8505a6dff83414f,In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,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,

+d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of Age Comparisons,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"

 d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of Age Comparisons,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,

 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,

@@ -1178,6 +1186,7 @@ e5d53a335515107452a30b330352cad216f88fc3,Generalized Loss-Sensitive Adversarial
 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,

 e293a31260cf20996d12d14b8f29a9d4d99c4642,LR-GAN: Layered Recursive Generative Adversarial Networks for Image 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,

 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,

+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"

 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,

 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,

 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,

@@ -1263,6 +1272,7 @@ c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Simi
 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,

 c9bbd7828437e70cc3e6863b278aa56a7d545150,Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer 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,

+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"

 c9f588d295437009994ddaabb64fd4e4c499b294,Predicting Professions through Probabilistic Model under 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,

 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,

@@ -1373,7 +1383,7 @@ e4df83b7424842ff5864c10fa55d38eae1c45fac,Locally Linear Discriminate Embedding f
 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,

 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,

-e475deadd1e284428b5e6efd8fe0e6a5b83b9dcd,Are you eligible? Predicting adulthood from face images via class specific mean autoencoder,IIIT Delhi,IIIT-Delhi,"Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+e475deadd1e284428b5e6efd8fe0e6a5b83b9dcd,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,

 fe464b2b54154d231671750053861f5fd14454f5,Multi Joint Action in CoTeSys-Setup and Challenges-Technical report CoTeSys-TR-1001,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 fe464b2b54154d231671750053861f5fd14454f5,Multi Joint Action in CoTeSys-Setup and Challenges-Technical report CoTeSys-TR-1001,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

 fe464b2b54154d231671750053861f5fd14454f5,Multi Joint Action in CoTeSys-Setup and Challenges-Technical report CoTeSys-TR-1001,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu,

@@ -2070,6 +2080,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 4c8e5fc0877d066516bb63e6c31eb1b8b5f967eb,"MODI, KOVASHKA: CONFIDENCE AND DIVERSITY FOR ACTIVE SELECTION 1 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,

 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"

 4c822785c29ceaf67a0de9c699716c94fefbd37d,A Key Volume Mining Deep Framework for Action 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,

 4c822785c29ceaf67a0de9c699716c94fefbd37d,A Key Volume Mining Deep Framework 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,

 4ccf64fc1c9ca71d6aefdf912caf8fea048fb211,Light-weight Head Pose Invariant Gaze Tracking,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -2159,6 +2170,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 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,

 754f7f3e9a44506b814bf9dc06e44fecde599878,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,

 754f7f3e9a44506b814bf9dc06e44fecde599878,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,

+754f7f3e9a44506b814bf9dc06e44fecde599878,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"

 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,

 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,

@@ -2355,6 +2367,8 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 38a2661b6b995a3c4d69e7d5160b7596f89ce0e6,Randomized Intraclass-Distance Minimizing Binary Codes 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,

 38a2661b6b995a3c4d69e7d5160b7596f89ce0e6,Randomized Intraclass-Distance Minimizing Binary Codes 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,

 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,

+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"

 38c901a58244be9a2644d486f9a1284dc0edbf8a,Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking,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,

 38c901a58244be9a2644d486f9a1284dc0edbf8a,Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

 38c901a58244be9a2644d486f9a1284dc0edbf8a,Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

@@ -2370,6 +2384,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 38d8ff137ff753f04689e6b76119a44588e143f3,When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 3896c62af5b65d7ba9e52f87505841341bb3e8df,Face Recognition from Still Images and 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,

 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,

+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"

 38a9ca2c49a77b540be52377784b9f734e0417e4,Face verification using large feature sets and one shot similarity,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 38a9ca2c49a77b540be52377784b9f734e0417e4,Face verification using large feature sets and one shot similarity,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,

 38a9ca2c49a77b540be52377784b9f734e0417e4,Face verification using large feature sets and one shot similarity,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,

@@ -2407,6 +2422,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 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,

 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,

+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,

 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",Microsoft Research Asia,35.86166000,104.19539700,company,

@@ -2608,7 +2624,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 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,

 3a3f75e0ffdc0eef07c42b470593827fcd4020b4,Normal Similarity Network for Generative Modelling,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu,

-3a76e9fc2e89bdd10a9818f7249fbf61d216efc4,Face Sketch Matching via Coupled Deep Transform Learning,IIIT Delhi,IIIT-Delhi,"Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+3a76e9fc2e89bdd10a9818f7249fbf61d216efc4,Face Sketch Matching via Coupled Deep Transform Learning,"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,

 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,

 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,

 3a04eb72aa64760dccd73e68a3b2301822e4cdc3,Scalable Sparse Subspace Clustering,"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,

@@ -2746,7 +2762,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 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,

 5bd3d08335bb4e444a86200c5e9f57fd9d719e14,3 D Face Morphable Models “ Inthe-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,

 5bd3d08335bb4e444a86200c5e9f57fd9d719e14,3 D Face Morphable Models “ Inthe-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,

-5bf70c1afdf4c16fd88687b4cf15580fd2f26102,Residual Codean Autoencoder for Facial Attribute Analysis,IIIT Delhi,IIIT-Delhi,"Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu,

+5bf70c1afdf4c16fd88687b4cf15580fd2f26102,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,

 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,

 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,

 5b86c36e3eb59c347b81125d5dd57dd2a2c377a9,Name Identification of People in News Video by Face Matching,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,

@@ -2755,6 +2771,7 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 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,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,

+37c8514df89337f34421dc27b86d0eb45b660a5e,Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector,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,

 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,

 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,

 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,

@@ -2796,6 +2813,8 @@ ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - R
 081286ede247c5789081502a700b378b6223f94b,Neural Correlates of Facial Mimicry: Simultaneous Measurements of EMG and BOLD Responses during Perception of Dynamic Compared to Static Facial Expressions,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,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,

 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,

+08d55271589f989d90a7edce3345f78f2468a7e0,Quality Aware Network for Set to Set 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"

+08d55271589f989d90a7edce3345f78f2468a7e0,Quality Aware Network for Set to Set 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"

 08d55271589f989d90a7edce3345f78f2468a7e0,Quality Aware Network for Set to Set Recognition,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,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,

 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,

@@ -3290,6 +3309,7 @@ aa127e6b2dc0aaccfb85e93e8b557f83ebee816b,Advancing human pose and gesture recogn
 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,

 aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN 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,

 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,

 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,

@@ -3356,6 +3376,9 @@ a8748a79e8d37e395354ba7a8b3038468cb37e1f,Seeing the Forest from the Trees: A Hol
 a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft Research Asia,"Microsoft Live Labs Research, China",Microsoft Research Asia,35.86166000,104.19539700,company,

 a8154d043f187c6640cb6aedeaa8385a323e46cf,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,

 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,

+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"

 de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,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,

 de8381903c579a4fed609dff3e52a1dc51154951,Shape and Appearance Based Analysis of Facial Images for Assessing ICAO Compliance,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,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,

@@ -3388,6 +3411,7 @@ a6ffe238eaf8632b4a8a6f718c8917e7f3261546,Dynamic facial prosthetics for sufferer
 a660390654498dff2470667b64ea656668c98ecc,Facial expression recognition 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,

 a660390654498dff2470667b64ea656668c98ecc,Facial expression recognition 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,

 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,

 a6e43b73f9f87588783988333997a81b4487e2d5,Facial Age Estimation by Total Ordering Preserving Projection,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,

 a6496553fb9ab9ca5d69eb45af1bdf0b60ed86dc,Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised Subspace Learning Algorithm,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu,

 a6b5ffb5b406abfda2509cae66cdcf56b4bb3837,One Shot Similarity Metric Learning for Action Recognition,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,

@@ -3430,6 +3454,7 @@ c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaz
 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,

 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,

+c39ffc56a41d436748b9b57bdabd8248b2d28a32,Residual Attention Network for Image Classification,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"

 c39ffc56a41d436748b9b57bdabd8248b2d28a32,Residual Attention Network for 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,

 c32cd207855e301e6d1d9ddd3633c949630c793a,On the Effect of Illumination and Face Recognition,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,

 c32c8bfadda8f44d40c6cd9058a4016ab1c27499,Unconstrained Face Recognition From a Single Image,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

@@ -3453,6 +3478,7 @@ ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedb
 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,

 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,

 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,

+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,

 e19fb22b35c352f57f520f593d748096b41a4a7b,"Modeling Context for Image Understanding : When , For What , and How ?",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,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,

@@ -3504,6 +3530,7 @@ f0681fc08f4d7198dcde803d69ca62f09f3db6c5,Spatiotemporal Features for Effective F
 f0f501e1e8726148d18e70c8e9f6feea9360d119,Jukka Komulainen SOFTWARE - BASED COUNTERMEASURES TO 2 D FACIAL,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,

 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,

 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,

+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,

 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,

 f02a6bccdaee14ab55ad94263539f4f33f1b15bb,Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft Research Asia,"Microsoft Live Labs Research, China",Microsoft Research Asia,35.86166000,104.19539700,company,

 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,

@@ -3722,6 +3749,7 @@ e0dc6f1b740479098c1d397a7bc0962991b5e294,Face Detection: a Survey,Chinese Academ
 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,

 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,

+2c17d36bab56083293456fe14ceff5497cc97d75,Unconstrained Face Alignment via Cascaded Compositional 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"

 2cd7821fcf5fae53a185624f7eeda007434ae037,Exploring the geo-dependence of human face appearance,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu,

 2cd7821fcf5fae53a185624f7eeda007434ae037,Exploring the geo-dependence of human face appearance,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,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,

@@ -3813,6 +3841,7 @@ e0dc6f1b740479098c1d397a7bc0962991b5e294,Face Detection: a Survey,Chinese Academ
 8323529cf37f955fb3fc6674af6e708374006a28,Evaluation of Face Resolution for 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,

 8334da483f1986aea87b62028672836cb3dc6205,Fully Associative Patch-Based 1-to-N Matcher for Face Recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu,

 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,

 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,

 1b5875dbebc76fec87e72cee7a5263d325a77376,Learnt Quasi-Transitive Similarity for Retrieval from Large Collections of Faces,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,

@@ -3920,6 +3949,7 @@ e0dc6f1b740479098c1d397a7bc0962991b5e294,Face Detection: a Survey,Chinese Academ
 84f904a71bee129a1cf00dc97f6cdbe1011657e6,Fashioning with Networks: Neural Style Transfer to Design Clothes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 84f904a71bee129a1cf00dc97f6cdbe1011657e6,Fashioning with Networks: Neural Style Transfer to Design Clothes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

 84f904a71bee129a1cf00dc97f6cdbe1011657e6,Fashioning with Networks: Neural Style Transfer to Design Clothes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+849f891973ad2b6c6f70d7d43d9ac5805f1a1a5b,ResNet Backbone Proposals Classification Loss Regression Loss Classification Loss Regression Loss RPN Classification Branch Box Regression Branch Conv Conv,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"

 846c028643e60fefc86bae13bebd27341b87c4d1,Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points,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,

 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,

@@ -4215,6 +4245,7 @@ e0dc6f1b740479098c1d397a7bc0962991b5e294,Face Detection: a Survey,Chinese Academ
 40e1743332523b2ab5614bae5e10f7a7799161f4,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,

 40e1743332523b2ab5614bae5e10f7a7799161f4,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,

 40c8cffd5aac68f59324733416b6b2959cb668fd,Pooling Facial Segments to Face: The Shallow and Deep Ends,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu,

+40273657e6919455373455bd9a5355bb46a7d614,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,

 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,

 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,

@@ -4499,6 +4530,7 @@ e0dc6f1b740479098c1d397a7bc0962991b5e294,Face Detection: a Survey,Chinese Academ
 25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b,Neural Networks with Smooth Adaptive Activation Functions for Regression,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,

 25bf288b2d896f3c9dab7e7c3e9f9302e7d6806b,Neural Networks with Smooth Adaptive Activation Functions for Regression,Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu,

 2588acc7a730d864f84d4e1a050070ff873b03d5,Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network,Microsoft Research Asia,"Microsoft Live Labs Research, China",Microsoft Research Asia,35.86166000,104.19539700,company,

+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"

 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,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,

 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,

diff --git a/reports/stats/unknown_papers.csv b/reports/stats/unknown_papers.csv
index 04d23f8d..92a64dac 100644
--- a/reports/stats/unknown_papers.csv
+++ b/reports/stats/unknown_papers.csv
@@ -809,10 +809,6 @@ Veracruz, M´exico"
 Discriminative Block-Diagonal Representation
 Learning for Image Recognition
 Zheng Zhang, Yong Xu, Senior Member, IEEE, Ling Shao, Senior Member, IEEE, Jian Yang, Member, IEEE"

-68e9c837431f2ba59741b55004df60235e50994d,Detecting Faces Using Region-based Fully Convolutional Networks,"Detecting Faces Using Region-based Fully
-Convolutional Networks
-Yitong Wang Xing Ji Zheng Zhou Hao Wang Zhifeng Li∗
-Tencent AI Lab, China"

 685f8df14776457c1c324b0619c39b3872df617b,Face Recognition with Preprocessing and Neural Networks,"Master of Science Thesis in Electrical Engineering
 Department of Electrical Engineering, Linköping University, 2016
 Face Recognition with
@@ -824,12 +820,6 @@ Sushil Bhattacharjee Amir Mohammadi
 S´ebastien Marcel
 Idiap Research Institute. Centre du Parc, Rue Marconi 19, Martigny (VS), Switzerland
 {sushil.bhattacharjee; amir.mohammadi;"

-687e17db5043661f8921fb86f215e9ca2264d4d2,A robust elastic and partial matching metric for face recognition,"A Robust Elastic and Partial Matching Metric for Face Recognition
-Gang Hua
-Amir Akbarzadeh
-Microsoft Corporate
-One Microsoft Way, Redmond, WA 98052
-{ganghua,"

 688754568623f62032820546ae3b9ca458ed0870,Resting high frequency heart rate variability is not associated with the recognition of emotional facial expressions in healthy human adults,"ioRxiv preprint first posted online Sep. 27, 2016;
 http://dx.doi.org/10.1101/077784
 The copyright holder for this preprint (which was not
@@ -2380,13 +2370,6 @@ ode of this work is available at https://github.com/pengsun/bpcpr5."
 93675f86d03256f9a010033d3c4c842a732bf661,Localized Growth and Characterization of Silicon Nanowires,Universit´edesSciencesetTechnologiesdeLilleEcoleDoctoraleSciencesPourl’ing´enieurUniversit´eLilleNord-de-FranceTHESEPr´esent´ee`al’Universit´edesSciencesetTechnologiesdeLillePourobtenirletitredeDOCTEURDEL’UNIVERSIT´ESp´ecialit´e:MicroetNanotechnologieParTaoXULocalizedgrowthandcharacterizationofsiliconnanowiresSoutenuele25Septembre2009Compositiondujury:Pr´esident:TuamiLASRIRapporteurs:ThierryBARONHenriMARIETTEExaminateurs:EricBAKKERSXavierWALLARTDirecteurdeth`ese:BrunoGRANDIDIER

 936c7406de1dfdd22493785fc5d1e5614c6c2882,Detecting Visual Text,"012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 762–772,
 Montr´eal, Canada, June 3-8, 2012. c(cid:13)2012 Association for Computational Linguistics"

-93721023dd6423ab06ff7a491d01bdfe83db7754,Robust Face Alignment Using Convolutional Neural Networks,"ROBUST FACE ALIGNMENT USING CONVOLUTIONAL NEURAL
-NETWORKS
-Stefan Duffner and Christophe Garcia
-Orange Labs, 4, Rue du Clos Courtel, 35512 Cesson-S´evign´e, France
-{stefan.duffner,
-Keywords:
-Face alignment, Face registration, Convolutional Neural Networks."

 93cbb3b3e40321c4990c36f89a63534b506b6daf,Learning from examples in the small sample case: face expression recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 35, NO. 3, JUNE 2005
 Learning From Examples in the Small Sample Case:
 Face Expression Recognition
@@ -2752,9 +2735,6 @@ 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"

-3399f8f0dff8fcf001b711174d29c9d4fde89379,Face R-CNN,"Face R-CNN
-Hao Wang Zhifeng Li∗ Xing Ji Yitong Wang
-Tencent AI Lab, China"

 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
@@ -4812,11 +4792,6 @@ Alaaeldin El-Nouby∗†, Graham W. Taylor∗†‡
 School of Engineering, University of Guelph
 Vector Institute for Artificial Intelligence
 Canadian Institute for Advanced Research"

-f437b3884a9e5fab66740ca2a6f1f3a5724385ea,Human identification technical challenges,"Human Identification Technical Challenges
-P. Jonathon Phillips
-DARPA
-701 N. Fairfax Dr
-Arlington, VA 22203"

 f412d9d7bc7534e7daafa43f8f5eab811e7e4148,Running Head : Anxiety and Emotional Faces in WS 2,"Durham Research Online
 Deposited in DRO:
 6 December 2014
@@ -9128,18 +9103,6 @@ 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"

-3803b91e784922a2dacd6a18f61b3100629df932,Temporal Multimodal Fusion for Video Emotion Classification in the Wild,"Temporal Multimodal Fusion
-for Video Emotion Classification in the Wild
-Valentin Vielzeuf∗
-Orange Labs
-Cesson-Sévigné, France
-Stéphane Pateux
-Orange Labs
-Cesson-Sévigné, France
-Frédéric Jurie
-Normandie Univ., UNICAEN,
-ENSICAEN, CNRS
-Caen, France"

 38eea307445a39ee7902c1ecf8cea7e3dcb7c0e7,Multi-distance Support Matrix Machines,"Noname manuscript No.
 (will be inserted by the editor)
 Multi-distance Support Matrix Machine
@@ -9179,10 +9142,6 @@ The Research Portal is Queen's institutional repository that provides access to
 ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the
 Research Portal that you believe breaches copyright or violates any law, please contact
 Download date:05. Nov. 2018"

-38183fe28add21693729ddeaf3c8a90a2d5caea3,Scale-Aware Face Detection,"Scale-Aware Face Detection
-Zekun Hao1, Yu Liu1, Hongwei Qin2, Junjie Yan2, Xiu Li2, Xiaolin Hu2
-SenseTime, 2Tsinghua University
-{haozekun,"

 3802da31c6d33d71b839e260f4022ec4fbd88e2d,Deep Attributes for One-Shot Face Recognition,"Deep Attributes for One-Shot Face Recognition
 Aishwarya Jadhav1,3, Vinay P. Namboodiri2, and K. S. Venkatesh 3
 Xerox Research Center India, 2Department of Computer Science,
@@ -9306,12 +9265,6 @@ PG Student at MET’s IOE Bhujbal Knowledge City,
 PG Student at MET’s IOE Bhujbal Knowledge City,
 Nasik, Maharashtra, India,
 Nasik, Maharashtra, India,"

-6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c,Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach,"Fusing Aligned and Non-Aligned Face Information
-for Automatic Affect Recognition in the Wild: A Deep Learning Approach
-Bo-Kyeong Kim, Suh-Yeon Dong, Jihyeon Roh, Geonmin Kim, Soo-Young Lee
-Computational NeuroSystems Laboratory (CNSL)
-Korea Advanced Institute of Science and Technology (KAIST)
-{bokyeong1015, {rohleejh, gmkim90,"

 6e3a181bf388dd503c83dc324561701b19d37df1,Finding a low-rank basis in a matrix subspace,"Finding a low-rank basis in a matrix subspace
 Yuji Nakatsukasa · Tasuku Soma ·
 Andr´e Uschmajew"

@@ -10645,13 +10598,6 @@ Image Processing and Analysis
 Laboratory, LAPI
 University “Politehnica” of Bucharest
 Bucharest, Romania"

-37c8514df89337f34421dc27b86d0eb45b660a5e,Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector,"Facial Landmark Tracking by Tree-based Deformable Part Model
-Based Detector
-Michal Uˇriˇc´aˇr, Vojtˇech Franc, and V´aclav Hlav´aˇc
-Center for Machine Perception, Department of Cybernetics
-Faculty of Electrical Engineering, Czech Technical University in Prague
-66 27 Prague 6, Technick´a 2, Czech Republic
-{uricamic, xfrancv,"

 374c7a2898180723f3f3980cbcb31c8e8eb5d7af,Facial Expression Recognition in Videos using a Novel Multi-Class Support Vector Machines Variant,"FACIAL EXPRESSION RECOGNITION IN VIDEOS USING A NOVEL MULTI-CLASS
 SUPPORT VECTOR MACHINES VARIANT
 Irene Kotsiay, Nikolaos Nikolaidisy and Ioannis Pitasy
@@ -13622,11 +13568,6 @@ Regressions
 Martin Penev1*, Ognian Boumbarov2
 Faculty of Telecommunications, Technical University, Sofia, Bulgaria
 Faculty of Telecommunications, Technical University, Sofia, Bulgaria"

-f0a3f12469fa55ad0d40c21212d18c02be0d1264,Sparsity Sharing Embedding for Face Verification,"Sparsity Sharing Embedding for Face
-Verification
-Donghoon Lee, Hyunsin Park, Junyoung Chung,
-Youngook Song, and Chang D. Yoo
-Department of Electrical Engineering, KAIST, Daejeon, Korea"

 f740bac1484f2f2c70777db6d2a11cf4280081d6,Soft Locality Preserving Map (SLPM) for Facial Expression Recognition,"Soft Locality Preserving Map (SLPM) for Facial Expression
 Recognition
 Cigdem Turana,*, Kin-Man Lama, Xiangjian Heb
@@ -15452,10 +15393,6 @@ Brian O’Connor and Kaushik Roy
 Department of Computer Science,
 North Carolina A&T State University,
 Greensboro, NC 27411"

-849f891973ad2b6c6f70d7d43d9ac5805f1a1a5b,ResNet Backbone Proposals Classification Loss Regression Loss Classification Loss Regression Loss RPN Classification Branch Box Regression Branch Conv Conv,"Detecting Faces Using Region-based Fully
-Convolutional Networks
-Yitong Wang Xing Ji Zheng Zhou Hao Wang Zhifeng Li∗
-Tencent AI Lab, China"

 4adca62f888226d3a16654ca499bf2a7d3d11b71,Models of Semantic Representation with Visual Attributes,"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 572–582,
 Sofia, Bulgaria, August 4-9 2013. c(cid:13)2013 Association for Computational Linguistics"

 4a2d54ea1da851151d43b38652b7ea30cdb6dfb2,Direct recognition of motion-blurred faces,"Direct Recognition of Motion Blurred Faces
@@ -16655,11 +16592,6 @@ sking the patients to fill out a questionnaire, as it is currently done [7]. Fa
 recognition may enable a new generation of teaching systems to adapt to the expression
 of their students in the way good teachers do [61]. Expression recognition could be used
 to assess the fatigue of drivers and air-pilots [58, 59]. Daily-life robots with automatic"

-40273657e6919455373455bd9a5355bb46a7d614,Anonymizing k Facial Attributes via Adversarial Perturbations,"Anonymizing k-Facial Attributes via Adversarial Perturbations
-Saheb Chhabra1, Richa Singh1, Mayank Vatsa1 and Gaurav Gupta2
-IIIT Delhi, New Delhi, India
-Ministry of Electronics and Information Technology, New Delhi, India
-{sahebc, rsingh,"

 40b10e330a5511a6a45f42c8b86da222504c717f,Implementing the Viola-Jones Face Detection Algorithm,"Implementing the Viola-Jones
 Face Detection Algorithm
 Ole Helvig Jensen
@@ -17666,10 +17598,6 @@ Michel F. Valstar, Bihan Jiang, Marc Mehu, Maja Pantic, and Klaus Scherer"
 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,"

 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"

-25c108a56e4cb757b62911639a40e9caf07f1b4f,Recurrent Scale Approximation for Object Detection in CNN,"Recurrent Scale Approximation for Object Detection in CNN
-Yu Liu1,2, Hongyang Li2, Junjie Yan1, Fangyin Wei1, Xiaogang Wang2, Xiaoou Tang2
-Multimedia Laboratory at The Chinese University of Hong Kong
-SenseTime Group Limited"

 25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8,Label Distribution Learning,"Label Distribution Learning
 Xin Geng*, Member, IEEE"

 2559b15f8d4a57694a0a33bdc4ac95c479a3c79a,Contextual Object Localization With Multiple Kernel Nearest Neighbor,"Contextual Object Localization With Multiple