1 files changed, 13 insertions, 530 deletions

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+++ b/reports/doi_institutions_unknown.csv
@@ -1,369 +1,146 @@
-61831364ddc8db869618f1c7f0ad35ab2ab6bcf7,Heterogeneous feature code for expression recognition,Artificial Vision Laboratory National Taiwan University of Science and Technology

-61a3c45c9f802f9d5fa8d94fee811e203bac6487,A Customized Sparse Representation Model With Mixed Norm for Undersampled Face Recognition,"Faculty of Applied Mathematics, Shanxi University of Finance and Economics"

-610779e90b644cc18696d7ac7820d3e0598e24d0,Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning,"Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore"

-61e2044184d86d0f13e50ecaa3da6a4913088c76,Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition,"University of Electronic Science and Technology of China, Chengdu"

-61e2044184d86d0f13e50ecaa3da6a4913088c76,Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition,"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu"

 0d6d9c4b5dd282b8f29cd3c200df02a00141f0a9,Anatomy based features for facial expression recognition,"FMV IŞIK Üniversitesi, Şile, Istanbul"

-0de1450369cb57e77ef61cd334c3192226e2b4c2,"In defense of low-level structural features and SVMs for facial attribute classification: Application to detection of eye state, Mouth State, and eyeglasses in the wild","Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061, USA"

 0d75c7d9a00f859cffe7d0bd78dd35d0b4bc7fa6,Active differential CMOS imaging device for human face recognition,"Inst. Nat. des Telecommun., Evry, France"

 0d98750028ea7b84b86e6fec3e67d61e4f690d09,Large-scale subspace clustering using random sketching and validation,"Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA"

 0d98750028ea7b84b86e6fec3e67d61e4f690d09,Large-scale subspace clustering using random sketching and validation,"Dept. of EE, Univ. at Buffalo, SUNY, USA"

-95f1790da3d0a4a5310a050512ce355b3c5aac86,Towards temporal adaptive representation for video action recognition,"Innovation Center, Canon USA Inc., San Jose, California"

-95289007f2f336e6636cf8f920225b8d47c6e94f,Automatic Training Image Acquisition and Effective Feature Selection From Community-Contributed Photos for Facial Attribute Detection,"Research Center for Institute of Information Science, Academia Sinica, Taiwan"

 950bf95da60fd4e77d5159254fed906d5ed5fbcb,Clustering Faces in Movies Using an Automatically Constructed Social Network,Reallusion Corporation

 95b5296f7ec70455b0cf1748cddeaa099284bfed,Measurement of Static and Dynamic Bio- Parameters of a Person in Remote Systems for Current Psycho- Emotional and Functional State Monitoring,"Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia"

 9590b09c34fffda08c8f54faffa379e478f84b04,Efficient Dual Approach to Distance Metric Learning,"Defence Science and Technology Organisation (DSTO), Edinburgh, Australia"

 592370b4c7b58a2a141e507f3a2cc5bbd247a62e,Teaching emotion expressions to a human companion robot using deep neural architectures,"Knowledge Technology Institute, Department of Informatics, University of Hamburg, Hamburg, Germany"

 5981c309bd0ffd849c51b1d8a2ccc481a8ec2f5c,SmartFace: Efficient face detection on smartphones for wireless on-demand emergency networks,"Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany"

 9227c1a5b26556b9c34015b3ea5f9ae5f50e9b23,Development of deep learning-based facial expression recognition system,"Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea"

-92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d,Quality scores for deep regression systems,"FDNA inc., Herzliya, Israel"

 0c65226edb466204189b5aec8f1033542e2c17aa,A study of CNN outside of training conditions,"Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia"

 0c247ac797a5d4035469abc3f9a0a2ccba49f4d8,An efficient landmark localization for face occlusion,"Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan"

-0c2370e156a4eb8d84a5fdb049c5a894c3431f1c,Biometric template update under facial aging,"University of Udine, Italy"

-66ec085c362f698b40d6e0e7b10629462280c062,Illumination compensation and normalization using logarithm and discrete cosine transform,"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore"

-66f4d7c381bd1798703977de2e38b696c6641b77,Recognizing fleeting facial expressions with different viewpoints,"College of Humanities, Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China"

-6688b2b1c1162bc00047075005ec5c7fca7219fd,Face expression recognition: A brief overview of the last decade,"Faculty of Electronics and Telecommunications “POLITEHNICA” University from Timişoara Timişoara, România"

 3e59d97d42f36fc96d33a5658951856a555e997b,"Realistic inverse lighting from a single 2D image of a face, taken under unknown and complex lighting","Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany"

-504d2675da7a56a36386568ee668938df6d82bbe,Regularized Deep Belief Network for Image Attribute Detection,"University of Technology at Sydney, Sydney, NSW, Australia"

 50ee027c63dcc5ab5cd0a6cdffb1994f83916a46,Learning a discriminative dictionary for sparse coding via label consistent K-SVD,"Adobe Systems Incorporated, San Jose, CA, 95110"

-502d30c5eac92c7db587d85d080343fbd9bc469e,Domain Specific Learning for Newborn Face Recognition,"Indraprastha Institute of Information Technology Delhi, Delhi, India"

-5039834df68600a24e7e8eefb6ba44a5124e67fc,Modular hierarchical feature learning with deep neural networks for face verification,Beijing Institute of Science and Technology Information

-501076313de90aca7848e0249e7f0e7283d669a1,Face recognition based on geometric features using Support Vector Machines,"REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia"

 501076313de90aca7848e0249e7f0e7283d669a1,Face recognition based on geometric features using Support Vector Machines,"ITI Department Telecom Bretagne, Brest, France"

 68f19f06f49aa98b676fc6e315b25e23a1efb1f0,Robust pose normalization for face recognition under varying views,"Samsung R&D Institute, China"

-68f19f06f49aa98b676fc6e315b25e23a1efb1f0,Robust pose normalization for face recognition under varying views,"Samsung Advanced Institute of Technology, Korea"

-6856a11b98ffffeff6e2f991d3d1a1232c029ea1,Multiple kernel learning SVM and statistical validation for facial landmark detection,"ISIR, CNRS UMR 7222, Universite Pierre et Marie Curie, Paris"

-6856a11b98ffffeff6e2f991d3d1a1232c029ea1,Multiple kernel learning SVM and statistical validation for facial landmark detection,"Institut Telecom - Telecom ParisTech CNRS/LTCI, Paris"

 6856a11b98ffffeff6e2f991d3d1a1232c029ea1,Multiple kernel learning SVM and statistical validation for facial landmark detection,"LAMIA, EA 4540, University of French West Indies & Guyana"

-68021c333559ab95ca10e0dbbcc8a4840c31e157,A framework for joint facial expression recognition and point localization,"Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany"

 5760d29574d78e79e8343b74e6e30b3555e48676,An Intelligent Music Player Based on Emotion Recognition,"R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India"

 5763b09ebca9a756b4adebf74d6d7de27e80e298,Picture-specific cohort score normalization for face pair matching,"Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy"

 57ba4b6de23a6fc9d45ff052ed2563e5de00b968,An efficient deep neural networks training framework for robust face recognition,"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China"

-5779e3e439c90d43648db107e848aeb954d3e347,Graph Regularized Restricted Boltzmann Machine,"College of Computer Science, Sichuan University, Chengdu, China"

 3bcb93aa2a5e5eda039679516292af2f7c0ff9ac,Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion,"School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China"

 3bdaf59665e6effe323a1b61308bcac2da4c1b73,2D spherical spaces for objects recognition under harsh lighting conditions,"Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan"

 3bf579baf0903ee4d4180a29739bf05cbe8f4a74,Facial Expression Biometrics Using Tracker Displacement Features,"Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. tulyakov@cedar.buffalo.edu"

-3bf579baf0903ee4d4180a29739bf05cbe8f4a74,Facial Expression Biometrics Using Tracker Displacement Features,"CUBRC, Buffalo, NY, USA. slowe@cubrc.org"

-3bf579baf0903ee4d4180a29739bf05cbe8f4a74,Facial Expression Biometrics Using Tracker Displacement Features,"Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. zhizhang@cedar.buffalo.edu"

-3bf579baf0903ee4d4180a29739bf05cbe8f4a74,Facial Expression Biometrics Using Tracker Displacement Features,"Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. venu@cedar.buffalo.edu"

-3b75681f0162752865d85befd8b15e7d954ebfe6,Evaluation of a face recognition system performance's variation on a citizen passports database,"Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay"

-3b64b8be33887e77e6def4c385985e43e2c15eea,Understanding Deep Representations Learned in Modeling Users Likes,"Agency for Science, Technology and Research, Institute of High Performance Computing, Singapore"

-3b64b8be33887e77e6def4c385985e43e2c15eea,Understanding Deep Representations Learned in Modeling Users Likes,"SAP Innovation Center Network, Singapore"

 6f22324fab61fbc5df1aac2c0c9c497e0a7db608,Volume structured ordinal features with background similarity measure for video face recognition,"Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba"

-6f22324fab61fbc5df1aac2c0c9c497e0a7db608,Volume structured ordinal features with background similarity measure for video face recognition,"Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, CASIA, Beijing, China"

-6f48e5e258da11e6ba45eeabe65a5698f17e58ef,Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments,"Robert BOSCH Research and Technology Center, Palo Alto, CA 94304, USA"

-03babadaaa7e71d4b65203e27e8957db649155c6,Distance Metric Learning via Iterated Support Vector Machines,"Research Division, Educational Testing Service, Princeton, NJ, USA"

-03babadaaa7e71d4b65203e27e8957db649155c6,Distance Metric Learning via Iterated Support Vector Machines,"Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"

-0343f9401b98de36be957a30209fef45dd684270,On video based face recognition through adaptive sparse dictionary,"Alcohol Countermeasure Systems Corporation, Toronto, ON, Canada"

+9b8830655d4a5a837e3ffe835d14d6d71932a4f2,Multiview Face Recognition: From TensorFace to V-TensorFace and K-TensorFace,"Department of Computer Science, University of Texas, San Antonio, TX, USA"

 9e5690cdb4dfa30d98dff653be459e1c270cde7f,Multiple path search for action tube detection in videos,Department of Electronic and Computer Engineering National Taiwan University of Science and Technology

 9e99f818b37d44ec6aac345fb2c5356d83d511c7,Sift-flow registration for facial expression analysis using Gabor wavelets,"University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J7"

 9eaa967d19fc66010b7ade7d94eaf7971a1957f3,Segmentation-based illumination normalization for face detection,"Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan"

-9eaa967d19fc66010b7ade7d94eaf7971a1957f3,Segmentation-based illumination normalization for face detection,"Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama 226-8503, Japan"

-9ef06cc958af2274afd193a1dca705c08234bcd3,Facial expression recognition using statistical subspace,"Faculty of Information Technology, Ho Chi Minh City University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam"

 9e60614fd57afe381ae42c6ee0b18f32f60bb493,Attribute constrained subspace learning,"Institute for Human-Machine Communication, Technische Universität München, Germany"

 9e60614fd57afe381ae42c6ee0b18f32f60bb493,Attribute constrained subspace learning,"Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran"

 9e10ea753b9767aa2f91dafe8545cd6f44befd7f,Learning discriminative local binary patterns for face recognition,"Department of Computer Science, Pontificia Universidad Cato´lica de Chile"

 049186d674173ebb76496f9ecee55e17ed1ca41b,Inner Product Regularized Nonnegative Self Representation for Image Classification and Clustering,"School of Software, Jiangxi Normal University, Nanchang, China"

-049186d674173ebb76496f9ecee55e17ed1ca41b,Inner Product Regularized Nonnegative Self Representation for Image Classification and Clustering,"College of Computer Science and Information Technology, Northeast Normal University, Changchun, China"

 049186d674173ebb76496f9ecee55e17ed1ca41b,Inner Product Regularized Nonnegative Self Representation for Image Classification and Clustering,"School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China"

-047d3cb2a6a9628b28cac077b97d95b04ca9044c,A robust composite metric for head pose tracking using an accurate face model,"Institut des Systèmes intelligents et de Robotique, UPMC, France"

 047d3cb2a6a9628b28cac077b97d95b04ca9044c,A robust composite metric for head pose tracking using an accurate face model,"Majority Report, France"

-047d3cb2a6a9628b28cac077b97d95b04ca9044c,A robust composite metric for head pose tracking using an accurate face model,"Université des Antilles et de la Guyane (UAG), France"

 6af75a8572965207c2b227ad35d5c61a5bd69f45,An Accelerated Variational Framework for Face Expression Recognition,"Concordia Institute for Information Systems Engineering Concordia University, Montreal, Canada"

 6ad5ac867c5ca56e0edaece153269d989b383b59,Local feature extraction and recognition under expression variations based on multimodal face and ear spherical map,"School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China"

 3266fcd1886e8ad883714e38203e66c0c6487f7b,Exploring synonyms as context in zero-shot action recognition,Vision Semantics Ltd

 321db1059032b828b223ca30f3304257f0c41e4c,Comparative evaluation of age classification from facial images,"Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India"

-32b76220ed3a76310e3be72dab4e7d2db34aa490,Class specific subspace learning for collaborative representation,"College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China"

 32e4fc2f0d9c535b1aca95aeb5bcc0623bcd2cf2,Real time facial expression recognition with AdaBoost,"Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China"

-328da943e22adef5957c08b6909bda09d931a350,On intelligent surveillance systems and face recognition for mass transport security,"NICTA, PO Box 6020, St Lucia, QLD 4067, Australia"

-3288e16c62a215254e2ed7c39675482b356c3bef,Facial expression recognition system based on a face statistical model and Support Vector Machines,"Dept. of Automation and Applied Informatics, Politehnica University of Timisoara, Romania"

 32a440720ee988b7b41de204b2910775171ee12c,Front view gait recognition using Spherical Space Model with Human Point Clouds,"Waseda University The Graduate School of Information, Production and Systems 2-7, Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka, Japan"

 35ccc836df60cd99c731412fe44156c7fd057b99,A cascade framework for masked face detection,"School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China"

-3598d10d7d4f2b543afa8bcf6b2c34a3696ef155,Fusion of probabilistic collaborative and sparse representation for robust image classification,"Sch. of Infor. Sci. and Tech., Huizhou Unversity, Huizhou, China"

 69ba86f7aac7b7be0ac41d990f5cd38400158f96,Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis,"Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey"

-69a41c98f6b71764913145dbc2bb4643c9bc4b0a,Learning Match Kernels on Grassmann Manifolds for Action Recognition,"College of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China"

-69a41c98f6b71764913145dbc2bb4643c9bc4b0a,Learning Match Kernels on Grassmann Manifolds for Action Recognition,"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"

-69a41c98f6b71764913145dbc2bb4643c9bc4b0a,Learning Match Kernels on Grassmann Manifolds for Action Recognition,"University of Electronic Science and Technology of China, Chendu, China"

 3c086601ce0bac61047b5b931b253bd4035e1e7a,Occlusion handling in feature point tracking using ranked parts based models,"Information and media processing laboratories, NEC Corporation"

 3c09fb7fe1886072670e0c4dd632d052102a3733,Content-Attention Representation by Factorized Action-Scene Network for Action Recognition,"Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"

 3c09d15b3e78f38618b60388ec9402e616fc6f8e,Neural networks recognition rate as index to compare the performance of fuzzy edge detectors,"School of Engineering of UABC, University of Baja California, Tijuana, Mexico"

-3c09d15b3e78f38618b60388ec9402e616fc6f8e,Neural networks recognition rate as index to compare the performance of fuzzy edge detectors,"Division of Graduate Studies of Tijuana Institute Technology, Mexico"

-3ce37af3ac0ed2eba08267a3605730b2e0433da5,Hierarchical Representation Learning for Kinship Verification,"Indraprastha Institute of Information Technology Delhi, New Delhi, India"

 3ca6adc90aae5912baa376863807191ffd56b34e,Exploring Facial Asymmetry Using Optical Flow,"School of Software, Shenyang University of Technology, Shenyang, China"

-568ced900cbf7437c9e87b60a17e16f0c1e0c442,A novel algorithm for illumination invariant DCT-based face recognition,"IntelliView Technologies Inc., Calgary, AB, Canada"

-566563a02dbaebec07429046122426acd7039166,Improving Convolutional Neural Networks Via Compacting Features,"National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, China"

-566563a02dbaebec07429046122426acd7039166,Improving Convolutional Neural Networks Via Compacting Features,"Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China"

 569988e19ab36582d4bd0ec98e344cbacf177f45,Affective Visual Perception Using Machine Pareidolia of Facial Expressions,"School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia"

 569988e19ab36582d4bd0ec98e344cbacf177f45,Affective Visual Perception Using Machine Pareidolia of Facial Expressions,"School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia"

-56f57786516dcc8ea3c0ffe877c1363bfb9981d2,Online multimodal matrix factorization for human action video indexing,"MindLAB Research Group, Universidad Nacional de Colombia, Colombia"

 518a3ce2a290352afea22027b64bf3950bffc65a,Finding iconic images,"Computer Science Dept., SUNY Stony Brook, USA"

-51dcb36a6c247189be4420562f19feb00c9487f8,Towards robust face recognition from multiple views,"Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA"

-516f8728ad1d4f9f2701a2b5385f8c8e71b9d356,Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity,"Computer Vision Team, ARS Traffic & Transport Technology, Trivandrum, India"

 3d0b2da6169d38b56c58fe5f13342cf965992ece,Spatio-temporal representation for face authentication by using multi-task learning with human attributes,"Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea"

-3d89f9b4da3d6fb1fdb33dea7592b5992069a096,Face recognition based on convolution siamese networks,"The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China"

-588bed36b3cc9e2f26c39b5d99d6687f36ae1177,Sparsely Encoded Local Descriptor for face recognition,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China"

-58684a925693a0e3e4bb1dd2ebe604885be034d2,A kernelized discriminant analysis algorithm based on modified generalized singular value decomposition,"Taxes Instruments, Dallas, TX, United States"

-58483028445bf6b2d1ad6e4b1382939587513fe1,Modelling and correction of multipath interference in time of flight cameras,"Geintra Research Group, University of Alcala"

-58eb9174211d58af76023ce33ee05769de57236c,Submodular Attribute Selection for Visual Recognition,"General Electric Global Research, 1 Research Circle, Niskayuna, NY"

 58eb9174211d58af76023ce33ee05769de57236c,Submodular Attribute Selection for Visual Recognition,"Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA"

 0b58b3a5f153f653c138257426bf8d572ae35a67,Cloud-based facial emotion recognition for real-time emotional atmosphere assessment during a lecture,"Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic"

-0b8839945259ec764ef0fad47471f34db39f40c3,SVM point-based real-time emotion detection,"Faculty of Engineering Technology, University Hasselt"

-93d903d2e48d6a8ad3e3d2aff2e57622efe649cd,Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression,"Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India"

-93e1e195f294c463f4832c4686775bf386b3de39,Temporal Variance Analysis for Action Recognition,"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia"

-939f9fa056f8be445da19b43da64bd2405851a43,Classifying facial expressions using point-based analytic face model and Support Vector Machines,"Concordia Institute for Information Systems Engineering (CIISE), 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA"

 939d28859c8bd2cca2d692901e174cfd599dac74,Facial expression recognition based on texture and shape,"The 28th Research Institute of China Electronics Technology Group Corporation, China"

-93dd4e512cd7647aecbfc0cd4767adf5d9289c3d,Pose-based composition improvement for portrait photographs,"Tolendata Singapore R&D Centre Private Limited, Singapore"

 940e5c45511b63f609568dce2ad61437c5e39683,Fiducial Facial Point Extraction Using a Novel Projective Invariant,"School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China"

-0ef20991e0ecc7dc3f6e0e5fd6ee93c4970206f3,Facial video super resolution using semantic exemplar components,"Sharp Laboratories of America, Camas, WA"

 0e4baf74dfccef7a99c6954bb0968a2e35315c1f,Gender identification from face images,"TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey"

-604a281100784b4d5bc1a6db993d423abc5dc8f0,Face Verification Across Age Progression Using Discriminative Methods,"Cernium Corporation, Reston, VA, USA"

-60821d447e5b8a96dd9294a0514911e1141ff620,Real-time facial expression recognition with illumination-corrected image sequences,"Dep. Ciencias de la Computación, U. Rey Juan Carlos, Spain"

-60821d447e5b8a96dd9294a0514911e1141ff620,Real-time facial expression recognition with illumination-corrected image sequences,"Dep. Inteligencia Artificial, U. Politécnica Madrid, Spain"

+604a281100784b4d5bc1a6db993d423abc5dc8f0,Face Verification Across Age Progression Using Discriminative Methods,"Computer Science Department, University of California, Los Angeles, CA, USA"

 609d81ddf393164581b3e3bf11609a712ac47522,Fuzzy qualitative approach for micro-expression recognition,"Faculty of Computing and Information Technology, Setapak, Malaysia"

-609d81ddf393164581b3e3bf11609a712ac47522,Fuzzy qualitative approach for micro-expression recognition,"Faculty of Engineering, Tunku Abdul Rahman University College, Setapak, Malaysia"

 603231c507bb98cc8807b6cbe2c860f79e8f6645,Unitary transform-based template protection and its properties,"NTT Network Innovation Laboratories, Nippon Telegraph and Telephone Corp."

 60284c37249532fe7ff6b14834a2ae4d2a7fda02,Compressive sensing based facial expression recognition,"Mechatronic Engineering Department, Mevlana University, Konya, Turkey"

-5feee69ed183954fa76c58735daa7dd3549e434d,Mean shift clustering for personal photo album organization,"Universita degli Studi di Palermo, Dipartimento di Ingegegneria Informatica, Viale delle Scienze, 90128, ITALY"

-5feee69ed183954fa76c58735daa7dd3549e434d,Mean shift clustering for personal photo album organization,"Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni, Viale delle Scienze, 90128 Palermo, ITALY"

 5fea59ccdab484873081eaa37af88e26e3db2aed,Capacitive Sensor for Tagless Remote Human Identification Using Body Frequency Absorption Signatures,"Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy"

-5f7094ba898a248e1e6b37e3d9fb795e59131cdc,Frame-skip Convolutional Neural Networks for action recognition,"University Of Electronic Science And Technology Of China, China"

-5fb59cf5b31a80d8c70d91660092ef86494be577,Real-time SVM-based emotion recognition algorithm,"Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium"

+5f0d4657eab4152a1785ee0a25b5b499cd1163ec,Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition,"University of California, Los Angeles, CA Dept. of Electrical Engineering"

 336488746cc76e7f13b0ec68ccfe4df6d76cdc8f,Adaptive Cascade Regression Model For Robust Face Alignment,"Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China"

 335435a94f8fa9c128b9f278d929c9d0e45e2510,CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset,"Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA"

-3337cfc3de2c16dee6f7cbeda5f263409a9ad81e,Age prediction on face features via multiple classifiers,"Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia"

-05785cb0dcaace54801aa486d4f8fdad3245b27a,Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories,"Télécom Lille, CRIStAL UMR (CNRS 9189), France"

 0553c6b9ee3f7d24f80e204d758c94a9d6b375d2,Face identification from one single sample face image,"Dept. of Appl. Phys. & Electron., Umea Univ., Sweden"

-9d46485ca2c562d5e295251530a99dd5df99b589,Real-time face recognition for human-robot interaction,"Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico"

 9d3377313759dfdc1a702b341d8d8e4b1469460c,Cast2Face: Assigning Character Names Onto Faces in Movie With Actor-Character Correspondence,"School of Software, Beijing Institute of Technology, Beijing, China"

-9d3377313759dfdc1a702b341d8d8e4b1469460c,Cast2Face: Assigning Character Names Onto Faces in Movie With Actor-Character Correspondence,"Agency for Science, Technology and Research, Singapore"

-9c59bb28054eee783a40b467c82f38021c19ff3e,Logistic similarity metric learning for face verification,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France"

-0247998a1c045e601dc4d65c53282b5e655be62b,Learning to tell brake and turn signals in videos using CNN-LSTM structure,Toyota Research Institute - North America

 a4bb791b135bdc721c8fcc5bdef612ca654d7377,Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition,"Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France"

 a4e75766ef93b43608c463c233b8646439ce2415,Automatic real-time FACS-coder to anonymise drivers in eye tracker videos,"Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden"

-a4e75766ef93b43608c463c233b8646439ce2415,Automatic real-time FACS-coder to anonymise drivers in eye tracker videos,"Smart Eye AB, SE-413 27 Göteborg, Sweden"

-a4e75766ef93b43608c463c233b8646439ce2415,Automatic real-time FACS-coder to anonymise drivers in eye tracker videos,"Räven AB, SE-411 14 Göteborg, Sweden"

-a4e75766ef93b43608c463c233b8646439ce2415,Automatic real-time FACS-coder to anonymise drivers in eye tracker videos,"Volvo Car Corporation, SE-405 31 Göteborg, Sweden"

-a35ed55dc330d470be2f610f4822f5152fcac4e1,Tattoo recognition technology - challenge (Tatt-C): an open tattoo database for developing tattoo recognition research,"National Institute of Standards and Technology (NIST), Gaithersburg, MD"

 a38dd439209b0913b14b1c3c71143457d8cf9b78,Face recognition in unconstrained environments,"Computer Science and Engineering Dept., University of Nevada Reno, USA"

-b5979489e11edd76607c219a8bdc83ba4a88ab38,Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features,"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea"

 b5979489e11edd76607c219a8bdc83ba4a88ab38,Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features,"Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan"

-b5690409be6c4e98bd37181d41121adfef218537,Improving image clustering: An unsupervised feature weight learning framework,"IBM China Research Laboratory, Beijing, China"

-b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany"

 b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"GSI Universidad Polit-écnica de Madrid, Madrid, Spain"

-b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Paradigma Digital, Madrid, Spain"

-b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Expert Systems, Modena, Italy"

-b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Brno University of Technology, Brno-střed, Czech Republic"

 b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Phonexia, Brno-Krlovo Pole, Czech Republic"

-b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Siren Solutions, Dublin, Ireland"

 b5f9306c3207ac12ac761e7d028c78b3009a219c,Age estimation based on extended non-negative matrix factorization,"School of Computer Science and Software Engineering University of Wollongong, Australia"

 b208f2fc776097e98b41a4ff71c18b393e0a0018,Efficient Design of Advanced Correlation Filters for Robust Distortion-Tolerant Face Recognition,"Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA"

-b2ddea9c71cd73fa63e09e8121bc7a098fae70b4,An interactive game for teaching facial expressions to children with Autism Spectrum Disorders,"Inst. de Telecomunicações, Fac. de Ciências da Universidade do Porto, Porto, Portugal"

-acab402d706dbde4bea4b7df52812681011f435e,Robust face recognition with illumination normalization using a reference profile,"E-Comm Research Lab, Infosys Limited, Bangalore, India"

 ac37285f2f5ccf99e9054735a36465ee35a6afdd,Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition,"Dept. of Autom. Test & Control, Harbin Inst. of Technol., China"

-ad08426ca57da2be0e9f8c1f673e491582edb896,Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization,"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"

-ad8bd7016132a2f98ff1f41dac695285e71cc4b1,A face alignment method based on SURF features,College of electronic and information engineer Changchun University of Science and Technology Changchun China

 ad77056780328bdcc6b7a21bce4ddd49c49e2013,Face verification based on deep reconstruction network,"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China"

 ada56c9ceef50aa5159f1f8aa45ca2040d1ed15c,Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs,"Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal"

-bbc21d6b7c6e807c6886d237a04b501158ca6bb8,Learning Personalized Models for Facial Expression Analysis and Gesture Recognition,"TeV, Fondazione Bruno Kessler, Trento, Italy"

-bbc47f421ab161f22f2699ee7bbb7fc8aec1cb7b,Constrained versus unconstrained learning in generalized recurrent network for image processing,ThyssenKrupp Elevator Americas

 bb2f61a057bbf176e402d171d79df2635ccda9f6,Multi-modal joint embedding for fashion product retrieval,Institut de Robòtica i Informàtica Industrial (CSIC-UPC)

 bb2f61a057bbf176e402d171d79df2635ccda9f6,Multi-modal joint embedding for fashion product retrieval,Wide Eyes Technologies

-d7b7253f7d8b397d9d74057e1e72ed9c58e2ba6d,Towards Improving Social Communication Skills With Multimodal Sensory Information,"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"

 d7b7253f7d8b397d9d74057e1e72ed9c58e2ba6d,Towards Improving Social Communication Skills With Multimodal Sensory Information,"School of Computer Science, China University of Geosciences, Wuhan, China"

-d7a84db2a1bf7b97657b0250f354f249394dd700,Global and local feature based multi-classifier A-stack model for aging face identification,"Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland"

-d77f18917a58e7d4598d31af4e7be2762d858370,Detecting person presence in TV shows with linguistic and structural features,"Aix Marseille Univ LIF/CNRS, France"

-d77f18917a58e7d4598d31af4e7be2762d858370,Detecting person presence in TV shows with linguistic and structural features,"France Telecom - Orange Labs, Lannion, France"

-d05759932001aa6f1f71e7dc261c4716f57a5397,Locality Preserving Discriminant Projection,"Dhirubhai Ambani Institute of Information and Communication Technology, India"

 d046030f7138e5a2dbe2b3eec1b948ad8c787538,Illumination invariant face recognition in logarithm Discrete Cosine Transform domain,"Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt"

-d09fd7e0bb5d997963cfef45452724416b2bb052,Research on algorithm of state recognition of students based on facial expression,"Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China"

 d066575b48b552a38e63095bb1f7b56cbb1fbea4,The performance of corrected learning network for object recognition,"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C"

-b388bf63c79e429dafee16c62b2732bcbea0d026,Ceci n'est pas une pipe: A deep convolutional network for fine-art paintings classification,"Faculty of Engineering, Shinshu University, Nagano, Japan"

 b3e60bb5627312b72c99c5ef18aa41bcc1d21aea,Class specific dictionary learning for face recognition,"School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA"

 df87193e15a19d5620f5a6458b05fee0cf03729f,Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction,"Department of Computer Science, Vogt-Koelln-Strasse 30, 22527 Hamburg - Germany"

 df550cb749858648209707bec5410431ea95e027,Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification,"School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China"

-df7af280771a6c8302b75ed0a14ffe7854cca679,Prediction of users' facial attractiveness on an online dating website,"IBJ, Inc., Tokyo, Japan"

-da1477b4a65ae5a013e646b57e004f0cd60619a2,Nose tip detection from 3D facial mesh data using a rotationally invariant local shape descriptor,"Computer Vision Lab, Sungkyunkwan University Suwon, South Korea"

 da2b2be4c33e221c7f417875a6c5c74043b1b227,Score normalization in stratified biometric systems,"Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA"

-dac6e9d708a9757f848409f25df99c5a561c863c,SVD Face: Illumination-Invariant Face Representation,"Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon-si, Korea"

-dac34b590adddef2fc31f26e2aeb0059115d07a1,House in the (Biometric) Cloud: A Possible Application,Sapienza Univertsity of Rome

-dac34b590adddef2fc31f26e2aeb0059115d07a1,House in the (Biometric) Cloud: A Possible Application,Sapienza University of Rome

-b44f03b5fa8c6275238c2d13345652e6ff7e6ea9,Lapped convolutional neural networks for embedded systems,"AltumView Systems Inc., Burnaby, BC, Canada"

 a59c0cf3d2c5bf144ee0dbc1152b1b5dd7634990,Big Data Analysis for Media Production,"Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic"

-bdf5434648356ce22bdbf81d2951e4bb00228e4d,A Half Face Recognition Scheme,"Chongqing Institute of Technology, China"

-d1ee9e63c8826a39d75fa32711fddbcc58d5161a,A facial symmetry prior for improved illumination fitting of 3D morphable model,"Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK"

-d10cfcf206b0991e3bc20ac28df1f61c63516f30,Smile or smirk? Automatic detection of spontaneous asymmetric smiles to understand viewer experience,"Affectiva Inc., Waltham, MA, USA"

-d1079444ceddb1de316983f371ecd1db7a0c2f38,Sparse residue for occluded face image reconstruction and classification,"Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"

-d1dd80d77655876fb45b9420fe72444c303b219e,Accumulated motion images for facial expression recognition in videos,"Institute for Infocomm Research, Singapore"

-d12bea587989fc78b47584470fd8f689b6ab81d2,Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix,"Intel Laboratory China, Beijing, China"

 d12bea587989fc78b47584470fd8f689b6ab81d2,Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix,"LIAMA, French National Institute for Research in Computer Science and Control, Paris, France"

-d60e3eef429ed2a51bbd806125fa31f5bea072a4,Hajj human event classification system using machine learning techniques,"Faculty of Computers and Information, BeniSuef University, Egypt"

-d60e3eef429ed2a51bbd806125fa31f5bea072a4,Hajj human event classification system using machine learning techniques,"Faculty of Computers and Information, Cairo University, Egypt"

-d60e3eef429ed2a51bbd806125fa31f5bea072a4,Hajj human event classification system using machine learning techniques,"Faculty of Computers and Information, Ain Shams University, Egypt"

 d628aabf1a666a875e77c3d3fee857cd25891947,Eye detection in unrestrained settings using efficient match kernels and SVM classification,"Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-900"

 d628aabf1a666a875e77c3d3fee857cd25891947,Eye detection in unrestrained settings using efficient match kernels and SVM classification,"Department of Computer Science, University of Brasília, DF, Brazil 70910-900"

 d62d82c312c40437bc4c1c91caedac2ba5beb292,Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition,"School of Computer Science and Engineering, Tianjin University of Technology, China"

 d62d82c312c40437bc4c1c91caedac2ba5beb292,Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition,"School of Electrical and Electronic Engineering, Tianjin University of Technology, China"

-bcf2710d46941695e421226372397c9544994214,Facial expression recognition based on transfer learning from deep convolutional networks,"School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China"

 bcf2710d46941695e421226372397c9544994214,Facial expression recognition based on transfer learning from deep convolutional networks,"School of Science, Southwest Petroleum University, Chengdu, China"

-bc66685acc64fa3c425c0ee6c443d3fa87db7364,Personal Clothing Retrieval on Photo Collections by Color and Attributes,"Hewlett-Packard Laboratories, Hewlett-Packard Company, Palo Alto, CA, USA"

-bc9bad25f8149318314971d8b8c170064e220ea8,Triplet CNN and pedestrian attribute recognition for improved person re-identification,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France"

 bc9bad25f8149318314971d8b8c170064e220ea8,Triplet CNN and pedestrian attribute recognition for improved person re-identification,"Thales Services, ThereSIS, Palaiseau, France"

-bcead1a92744e76c38caaa13159de4abfb81b1d0,Bags-of-daglets for action recognition,Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI

-bcead1a92744e76c38caaa13159de4abfb81b1d0,Bags-of-daglets for action recognition,CNRS LTCI; Télécom ParisTech

-aef58a54d458ab76f62c9b6de61af4f475e0f616,A spiking thalamus model for form and motion processing of images,"HRL Laboratories, LLC, Information Systems and Sciences Lab, Malibu, CA 90265 USA"

 d878a67b2ef6a0a5dec72db15291f12419040ab1,Using web images as additional training resource for the discriminative generalized hough transform,"Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany"

-d89a754d7c59e025d2bfcdb872d2d061e2e371ba,Towards robotic facial mimicry: System development and evaluation,"Image Understanding and Knowledge-Based Systems, TU München, Germany"

-d89a754d7c59e025d2bfcdb872d2d061e2e371ba,Towards robotic facial mimicry: System development and evaluation,"Institute of Automatic Control Engineering (LSR), TU München, Germany"

-d8fbd3a16d2e2e59ce0cff98b3fd586863878dc1,Face detection and recognition for home service robots with end-to-end deep neural networks,"Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA"

-abbc6dcbd032ff80e0535850f1bc27c4610b0d45,Facial age estimation via extended curvature Gabor filter,"Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"

-abbc6dcbd032ff80e0535850f1bc27c4610b0d45,Facial age estimation via extended curvature Gabor filter,"Electronics and Telecommunications Research Institute (ETRI), Republic of Korea"

-ab80582807506c0f840bd1ba03a8b84f8ac72f79,Aphash: Anchor-Based Probability Hashing for Image Retrieval,"Institute for Infocomm Research, A*STAR, Singapore"

 e50ec6b6d1c189edc127eb403c41a64f34fc0a6c,Learning Flexible Block based Local Binary Patterns for unconstrained face detection,"Media Technology Lab, Huawei Technologies Co., Ltd"

-e50ec6b6d1c189edc127eb403c41a64f34fc0a6c,Learning Flexible Block based Local Binary Patterns for unconstrained face detection,"Advanced Technologies Application, Center (CENATAV), Cuba"

 e26a7e343fe109e2b52d1eeea5b02dae836f3502,Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network,"Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy"

-e2106bb3febb4fc8fe91f0fcbc241bcda0e56b1e,Image classification: A hierarchical dictionary learning approach,"Army Research Office, RTP, Raliegh, NC, United States of America"

-e2f78d2f75a807b89a13115a206da4661361fa71,Trip Outfits Advisor: Location-Oriented Clothing Recommendation,"National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China"

-f41d7f891a1fc4569fe2df66e67f277a1adef229,"Combining nonuniform sampling, hybrid super vector, and random forest with discriminative decision trees for action recognition","Samsung Advanced Institute of Technology (SAIT), Republic of Korea"

 f4ba07d2ae6c9673502daf50ee751a5e9262848f,Real-time multi-view facial landmark detector learned by the structured output SVM,"Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, 166 27 Prague 6, Technická 2 Czech Republic"

-f4ba07d2ae6c9673502daf50ee751a5e9262848f,Real-time multi-view facial landmark detector learned by the structured output SVM,"National Institute of Informatics, Tokyo, Japan"

-eb9867f5efc98d3203ce1037f9a8814b0d15d0aa,Periocular recognition based on Gabor and Parzen PNN,"Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India"

 ebc2a3e8a510c625353637e8e8f07bd34410228f,Dual Sparse Constrained Cascade Regression for Robust Face Alignment,"B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China"

-eb8a3948c4be0d23eb7326d27f2271be893b3409,A Probabilistic Approach to People-Centric Photo Selection and Sequencing,"University of Illinois’ Advanced Digital Sciences Center, Singapore"

-eb87151fd2796ff5b4bbcf1906d41d53ac6c5595,Enhanced face detection using body part detections for wearable cameras,"IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA"

-c7cd490e43ee4ff81e8f86f790063695369c2830,Use fast R-CNN and cascade structure for face detection,"Beijing FaceAll Co. Beijing, China"

 c0f9fae059745e50658d9605bd8875fc3a2d0b4b,Vision-based animation of 3D facial avatars,"Department of Computer Science and Engineering, Sejong University, 98 Gunja, Gwangjin, Seoul 143-747, Korea"

-c0f67e850176bb778b6c048d81c3d7e4d8c41003,Action recognition with gradient boundary convolutional network,"Research Institute of Shenzhen, Wuhan University, Shenzhen, China"

-ee2ec0836ded2f3f37bf49fa0e985280a8addaca,Face verification across age progression: A survey of the state-of-the-art,"Faculty of Science and Technology, Sudan University of Science and Technology, Khartoum, Sudan"

-ee2ec0836ded2f3f37bf49fa0e985280a8addaca,Face verification across age progression: A survey of the state-of-the-art,"School of Maths, Statistics & Computer Science, University of KwaZulu-Natal, Durban, South Africa"

-ee65cee5151928c63d3ef36fcbb582fabb2b6d2c,Structure-Aware Slow Feature Analysis for Age Estimation,"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"

 c997744db532767ee757197491d8ac28d10f1c0f,A real-time emotion recognition system for disabled persons,"University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia"

-c9832564d5dc601113b4d80e5a05ede6fee9f7dd,Pre-trained classifiers with One Shot Similarity for context aware face verification and identification,"TCS Research, New Delhi, India"

-c90427085909029afd2af01d1967e80b78e01b88,Gaze-Assisted Multi-Stream Deep Neural Network for Action Recognition,"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"

-fcc6fe6007c322641796cb8792718641856a22a7,Automatic facial makeup detection with application in face recognition,"Computer Science and Electrical Engineering West Virginia University, Morgantown, USA"

-fcc6fe6007c322641796cb8792718641856a22a7,Automatic facial makeup detection with application in face recognition,"Computer Science and Engineering Michigan State University, East Lansing, USA"

 fc8990088e0f1f017540900bc3f5a4996192ff05,Hierarchical bilinear network for high performance face detection,"Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 400714"

-fcb97ede372c5bddde7a61924ac2fd29788c82ce,Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation,"Advanced Digital Sciences Center , Singapore"

-fcceea054cb59f1409dda181198ed4070ed762c9,Multiple face tracking method in the wild using color histogram features,Korea Electronics Technology Institute

-fdd19fee07f2404952e629cc7f7ffaac14febe01,Face recognition based on dictionary learning with the locality constraints of atoms,"Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China"

-fdd19fee07f2404952e629cc7f7ffaac14febe01,Face recognition based on dictionary learning with the locality constraints of atoms,"Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, China"

 fde611bf25a89fe11e077692070f89dcdede043a,Facial Expression recognition using Local Binary Patterns and Kullback Leibler divergence,"Department of ECE, National Institute of Technology, Rourkela (Odisha), India"

-fd38163654a0551ed7f4e442851508106e6105d9,Face Recognition Assisted With 3D Face Model,"Multimedia and Intelligent Software Technology Beijing Municipal Key Lab., College of Computer Science, Beijing University of Technology Beijing, China."

-fd38163654a0551ed7f4e442851508106e6105d9,Face Recognition Assisted With 3D Face Model,"College of Information, Capital University of Economics and Business, Beijing, China.sanyecunfu@emails.bjut.edu.cn"

 f2896dd2701fbb3564492a12c64f11a5ad456a67,Cross-database age estimation based on transfer learning,"Department of CSE, University at Buffalo (SUNY), NY 14260, USA"

-f2d15482e7055dd5f54cf4a8a8f60d8e75af7edf,High frequency compensated face hallucination,"Beauty Cosmetic Research Lab, Kao Corporation, Tokyo, Japan"

-f28ef0a61a45a8b9cd03aa0ca81863e1d54a31d1,An accurate eye pupil localization approach based on adaptive gradient boosting decision tree,"Electric Power Research Institute, State Grid Shanghai Electric Power Company Shanghai, 200093, China"

 f201baf618574108bcee50e9a8b65f5174d832ee,Viewpoint-Consistent 3D Face Alignment,"Snapchat Research, Venice, CA90291"

-cf4c1099bef189838877c8785812bc9baa5441ed,Semantic-free attributes for image classification,"DCNS Research, 5 rue de l'Halbrane, 44340 Bouguenais, France"

-cf4c1099bef189838877c8785812bc9baa5441ed,Semantic-free attributes for image classification,"LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France"

-cf736f596bf881ca97ec4b29776baaa493b9d50e,Low Dimensional Deep Features for facial landmark alignment,"Samsung R&D Institute, Bangalore, India"

-cf6851c24f489dabff0238e01554edea6aa0fc7c,An analytical method for face detection based on image patterns of EEG signals in the time-frequency domain,"Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan"

-cfba667644508853844c45bfe5d0b8a2ffb756d3,Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper,"Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway"

 cfba667644508853844c45bfe5d0b8a2ffb756d3,Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper,"Department of Electronics, University of Goa, India"

-cae41c3d5508f57421faf672ee1bea0da4be66e0,Palmprint recognition via discriminative index learning,"Institute of Computational Science, University of Lugano, Switzerland"

-e41246837c25d629ca0fad74643fb9eb8bf38009,Multi-color ULBP with wavelet transform in invariant pose face recognition,"Computer Vision, Video and Image Processing (CvviP) Research Lab, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia"

 e4ad82afc563b783475ed45e9f2cd4c9e2a53e83,New distances combination for facial expression recognition from image sequences,"Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco"

 e4ad82afc563b783475ed45e9f2cd4c9e2a53e83,New distances combination for facial expression recognition from image sequences,"Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco"

-c847de9faa1f1a06d5647949a23f523f84aba7f3,Moving face spoofing detection via 3D projective invariants,"Sapienza Università di Roma, v. Salaria 113, 00198, Rome, (IT)"

-c847de9faa1f1a06d5647949a23f523f84aba7f3,Moving face spoofing detection via 3D projective invariants,"Università di Salerno v. Ponte don Melillo, 84084, Fisciano (IT)"

-c847de9faa1f1a06d5647949a23f523f84aba7f3,Moving face spoofing detection via 3D projective invariants,"Institut EURECOM, Sophia Antipolis, (France)"

 c833c2fb73decde1ad5b5432d16af9c7bee1c165,Homotopic Image Pseudo-Invariants for Openset Object Recognition and Image Retrieval,"University of IIllinois, Urbana-Champaign"

-c8fb8872203ee694d95da47a1f9929ac27186d87,View and texture-independent facial expression recognition in videos using dynamic programming,"HEUDIASYC Mixed Res. Unit, Compiegne Univ. of Technol., France"

 fb3aaf18ea07b30d1836e7cf2ab9fa898627fe93,Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images,"Department of Information Science and Engineering, Changzhou University, Changzhou, China"

-fb3aaf18ea07b30d1836e7cf2ab9fa898627fe93,Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images,"College of Mechanical and Electrical, Changzhou Textile Garment Institute, Changzhou, China"

 fbc591cde7fb7beb985437a22466f9cf4b16f8b1,Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification,"Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan"

 fbc591cde7fb7beb985437a22466f9cf4b16f8b1,Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification,"Dept. of Comp. Sci. and Inf. Eng, National United University, Miaoli, Taiwan"

+fb6cc23fd6bd43bd4cacf6a57cd2c7c8dfe5269d,An experimental study on content-based face annotation of photos,"Psychology Department, University of California, Santa Barbara, CA 93106 USA"

+fb6cc23fd6bd43bd4cacf6a57cd2c7c8dfe5269d,An experimental study on content-based face annotation of photos,"Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA"

 fb2bd6c2959a4f811b712840e599f695dad2967e,Environmental illumination invariant face recognition using near infrared imaging system,"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea"

 fba386ac63fe87ee5a0cf64bf4fb90324b657d61,Dynamic texture and geometry features for facial expression recognition in video,"Department of Computer Science, Chu Hai College of Higher Education, Hong Kong"

-edfce091688bc88389dd4877950bd58e00ff1253,A talking profile to distinguish identical twins,"Facebook Inc., Palo Alto, CA, USA"

 ed94e7689cdae87891f08428596dec2a2dc6a002,Distributed sketched subspace clustering for large-scale datasets,"Dept. of ECE and Digital Technology Center, Univ. of Minnesota, USA"

-ed70d1a9435c0b32c0c75c1a062f4f07556f7016,Correlated warped Gaussian processes for gender-specific age estimation,University of Electronic Science and Technology of China

-c1581b5175994e33549b8e6d07b4ea0baf7fe517,Online incremental clustering with distance metric learning for high dimensional data,"Dept.of Computational Intelligence and Systems Science, Tokyo Institute of Technology of JAPAN"

-c1581b5175994e33549b8e6d07b4ea0baf7fe517,Online incremental clustering with distance metric learning for high dimensional data,"Dept.of Intelligence Science and Technology, The Kyoto University of JAPAN"

-c1c2775e19d6fd2ad6616f69bda92ac8927106a2,In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration,"Disney Research Pittsburgh, Pittsburgh, PA, USA"

-c1c2775e19d6fd2ad6616f69bda92ac8927106a2,In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration,"Commonwealth Scientific and Industrial Research Organisation, Clayton South, Vic. , Australia"

-c175ebe550761b18bac24d394d85bdfaf3b7718c,Facial expression recognition using Fisher weight maps,"Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan"

 c65cfc9d3568c586faf18611c4124f6b7c0c1a13,A framework for face classification under pose variations,"Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India"

-c6382de52636705be5898017f2f8ed7c70d7ae96,Unconstrained face detection: State of the art baseline and challenges,"Noblis, Falls Church, VA, U.S.A."

-c631a31be2c793d398175ceef7daff1848bb6408,Emotional condition in the Health Smart Homes environment: emotion recognition using ensemble of classifiers,"Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil"

 c61a8940d66eed9850b35dd3768f18b59471ca34,Facial action unit recognition using temporal templates,"Dept. of Mediamatics, Delft Univ. of Technol., Netherlands"

 c60601bdb5465d8270fdf444e5d8aeccab744e29,Rotation invariant Facial Expression Recognition in image sequences,"Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632"

-ecac3da2ff8bc2ba55981467f7fdea9de80e2092,Face recognition under varying lighting conditions using self quotient image,"Inst. of Autom., Chinese Acad. of Sci., Beijing, China"

-ecc4be938f0e61a9c6b5111e0a99013f2edc54b9,Improving the recognition of faces occluded by facial accessories,"Multimedia Communications Dept., EURECOM, Sophia Antipolis, France"

 ec1bec7344d07417fb04e509a9d3198da850349f,Determine attention of faces through growing level of emotion using deep Convolution Neural Network,"Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India"

 ec983394f800da971d243f4143ab7f8421aa967c,D-FES: Deep facial expression recognition system,"Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India"

-4e6e5cb93e7e564bc426b5b27888d55101504c50,Analyzing user behavior in online advertising with facial expressions,"College of Electronics and Information Engineering, Sichuan University, Chengdu, China 610064"

-20d6a4aaf5abf2925fdce2780e38ab1771209f76,Double Supervision Face Recognition Based on Deep Learning,"Hexi University, Center for Information Technology, Zhangye, China"

+20b405d658b7bb88d176653758384e2e3e367039,Face recognition with manifold-based kernel discriminant analysis,"School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran"

 18bfda16116e76c2b21eb2b54494506cbb25e243,Face Recognition in Global Harmonic Subspace,"ECIT, School of Electronics, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK"

-184dba921b932143d196c833310dee6884fa4a0a,Distributed face recognition system for indoor environments,"Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye"

-180bd019eab85bbf01d9cddc837242e111825750,A Content-Adaptive Joint Image Compression and Encryption Scheme,"College of Cyber Security, Jinan University, Guangzhou, China"

 270acff7916589a6cc9ca915b0012ffcb75d4899,On the Applications of Robust PCA in Image and Video Processing,"Laboratoire MIA, University of La Rochelle, La Rochelle, France"

 27e0684fa5b57715162ac6c58a6ea283c7db1719,Select eigenfaces for face recognition with one training sample per subject,"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada"

-27812db1d2f68611cc284d65d11818082e572008,Computer vision for the blind: A dataset for experiments on face detection and recognition,"DIA, University of Trieste, Italy"

 27aa23d7a05368a6b5e3d95627f9bab34284e5c4,Sparse representation based on matrix rank minimization and k-means clustering for recognition,"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 100190"

-279459cbbc5c6db4802e9c737cc72a612d76f7fc,DMMLN: A deep multi-task and metric learning based network for video classification,"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"

-4b0cb10c6c3f2d581ac9eb654412f70bc72ed661,Automatic replication of teleoperator head movements and facial expressions on a humanoid robot,"Centre for Autism Research, Philadelphia, US"

-4b5ff8c67f3496a414f94e35cb35a601ec98e5cf,Understanding the discrimination power of facial regions in forensic casework,"Dirección General de la Guardia Civil - DGGC Madrid, Spain"

 4b94f531c203743a9f7f1e9dd009cdbee22ea197,Face recognition by using neural network classifiers based on PCA and LDA,"Dept. of Electron. Eng., Hannam Univ., Daejeon, South Korea"

 11c2d40fc63ecd88febadd8a9cac9521a6b7de66,Discriminant Tchebichef based moment features for face recognition,"Department of Electronic and Communication Engineering, Universiti Tenaga Nasional Km 7, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia"

 11c2d40fc63ecd88febadd8a9cac9521a6b7de66,Discriminant Tchebichef based moment features for face recognition,"Department of Mechanical Engineering, Universiti Tenaga Nasional Km 7, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia"

-7d7b036ed01765c9473d695f029142128d442aaa,Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland"

-7d7b036ed01765c9473d695f029142128d442aaa,Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs,"Computational Vision Group, University of California at Irvine, Irvine, CA, USA"

-7de8a8b437ec7a18e395be9bf7c8f2d502025cc6,Robust face recognition under illumination variation and occlusion (in english),"Bilgisayar Mühendisliği Bölümü, Ankara Yıldırım Beyazıt Üniversitesi, Ankara, Türkiye"

-2945cc9e821ab87fa17afc8802f3858435d1264c,Efficient video face recognition by using Fisher Vector encoding of binary features,"Advanced Technologies Application Center, 7a #21406 b/ 214 and 216, P.C. 12200, Playa, Havana, Cuba"

-2945cc9e821ab87fa17afc8802f3858435d1264c,Efficient video face recognition by using Fisher Vector encoding of binary features,"Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Brasil"

 2945cc9e821ab87fa17afc8802f3858435d1264c,Efficient video face recognition by using Fisher Vector encoding of binary features,"Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 72840"

-2983cf95743be82671a71528004036bd19172712,Asymmetric Binary Coding for Image Search,"Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"

-2983cf95743be82671a71528004036bd19172712,Asymmetric Binary Coding for Image Search,"Malong Technologies Company, Ltd., Shenzhen, China"

-2983cf95743be82671a71528004036bd19172712,Asymmetric Binary Coding for Image Search,"Tencent AI Laboratory, Shenzhen, China"

-29a5d38390857e234c111f8bb787724c08f39110,Statistical appearance models for automatic pose invariant face recognition,"Computer Vision and Remote Sensing, Berlin University of Technology, Sekr. FR 3-1, Franklinstr. 28/29, 10587, Germany"

-7c57ac7c9f84fbd093f6393e2b63c18078bf0fdf,Investigating 3-D Model and Part Information for Improving Content-Based Vehicle Retrieval,"Garmin Corporation, New Taipei, Taiwan"

-7c66e7f357553fd4b362d00ff377bffb9197410e,Gaussian Process Domain Experts for Modeling of Facial Affect,"MIT Media Laboratory, Cambridge, MA, USA"

-16b0c171fb094f677fcdf78bbb9aaef0d5404942,Category-Specific Object Image Denoising,"National ICT Australia, Canberra, ACT, Australia"

-89497854eada7e32f06aa8f3c0ceedc0e91ecfef,Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling,"AI Laboratories, Alibaba Group, Hangzhou, China"

 892400017e5c93611dc8361e7749135520d66f25,A comparative study of age-invariant face recognition with different feature representations,"School of Electrical and Electronic Engineering, Singapore"

-4551194408383b12db19a22cca5db0f185cced5c,Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition,"Division of Design of Intelligent Machines, Center for Development of Advanced Technologies, Algiers, Algeria"

-45edb29fb7eed5a52040300e1fd3cd53f1bdb429,Facial makeup detection via selected gradient orientation of entropy information,"Research Center for Information Technology Innovation, Academia Sinica, Taiwan"

-4512b87d68458d9ba0956c0f74b60371b6c69df4,SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches,"UMR 5800, LaBRI, Talence, France"

-4512b87d68458d9ba0956c0f74b60371b6c69df4,SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches,"UMR 5800, Bordeaux INP, LaBRI, Talence, France"

-4512b87d68458d9ba0956c0f74b60371b6c69df4,SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches,"UMR 5800, University of Bordeaux, LaBRI, Talence, France"

-4512b87d68458d9ba0956c0f74b60371b6c69df4,SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches,"UMR 5800, CNRS, LaBRI, Talence, France"

-4512b87d68458d9ba0956c0f74b60371b6c69df4,SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches,"CNRS, IMB, UMR 5251, Talence, France"

-1fd7a17a6c630a122c1a3d1c0668d14c0c375de0,"Facial landmark localization: Past, present and future","Dept. of Computer Sciences, ASIA Team, Moulay Ismail University, Faculty of Science and Techniques, BP 509 Boutalamine 52000 Errachidia, Morocco"

-1f5f67d315c9dad341d39129d8f8fe7fa58e564c,Facial expressions based error detection for smart environment using deep learning,Université du Quebec a Rimouski (UQAR)

 1f5f67d315c9dad341d39129d8f8fe7fa58e564c,Facial expressions based error detection for smart environment using deep learning,ACM Professional Specialist in Artificial Intelligence

 1f41bf5e8b8562ac7ef0013f4d0cf1c9e1a431f9,A novel constructive algorithm for CANet,"Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil"

-1f5725a4a2eb6cdaefccbc20dccadf893936df12,On the relevance of age in handwritten biometric recognition,"EUP Mataró, Spain"

 73ba33e933e834b815f62a50aa1a0e15c6547e83,Invariant feature extraction for facial recognition: A survey of the state-of-the-art,"Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan"

-73ba33e933e834b815f62a50aa1a0e15c6547e83,Invariant feature extraction for facial recognition: A survey of the state-of-the-art,"University of KwaZulu-Natal, School of Maths, Statistics & Computer Science, Durban - South Africa"

 73dcb4c452badb3ee39a2f222298b234d08c21eb,Face recognition and facial expression identification using PCA,"Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India"

 80d4cf7747abfae96328183dd1f84133023c2668,Face retrieval in face track using sparse representation,"Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan"

-809e5884cf26b71dc7abc56ac0bad40fb29c671c,On SIFTs and their scales,Technion

-746c0205fdf191a737df7af000eaec9409ede73f,Investigating Nuisances in DCNN-Based Face Recognition,"Department of Information Engineering, University of Florence, Florence, Italy"

 746c0205fdf191a737df7af000eaec9409ede73f,Investigating Nuisances in DCNN-Based Face Recognition,"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy"

-745e74ae84e1b2b8690d07db523531642023d6c4,Face recognition via non-negative sparse low-rank representation classification,"College of Information Engineering, Yangzhou University, Yangzhou, China"

-1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea"

-1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"SAIT Beijing Lab, Samsung Advanced Institute of Technology, China"

 1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"Department of New Media, Korean German Institute of Technology, Korea"

-1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"Electronic R&D Center, Mando Corp., Korea"

 1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"Department of Electrical Engineering, KAIST, Korea"

-1aa61dd85d3a5a2fe819cba21192ec4471c08628,Deep learning based forensic face verification in videos,"Institute of Forensic Science, Ministry of Justice, Shanghai 200063, China"

-1a8d40bcfb087591cc221086440d9891749d47b8,Directional ternary pattern ( DTP) for facial expression recognition,"Islamic University of Technology, Bangladesh"

-1a53ca294bbe5923c46a339955e8207907e9c8c6,What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics,"STARS Team, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, France"

-1a53ca294bbe5923c46a339955e8207907e9c8c6,What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics,"Mobile Communications Department, Eurecom, Biot, France"

-1afef6b389bd727c566cd6fbcd99adefe4c0cf32,Towards resolution invariant face recognition in uncontrolled scenarios,"National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University Chengdu, 610065, China"

-1aeef2ab062c27e0dbba481047e818d4c471ca57,Analyzing impact of image scaling algorithms on viola-jones face detection framework,"Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India"

-1aeef2ab062c27e0dbba481047e818d4c471ca57,Analyzing impact of image scaling algorithms on viola-jones face detection framework,"IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India"

-283d381c5c2ba243013b1c4f5e3b29eb906fa823,Shape parameter optimization for Adaboosted active shape model,"Imaging Software Technol. Center, Fuji Photo Film Co. Ltd., Japan"

 1723227710869a111079be7d61ae3df48604e653,Multimodal emotion recognition with automatic peak frame selection,"Dept. of Mathematics and Computer Science, University of Udine, Italy"

 1773d65c1dc566fd6128db65e907ac91b4583bed,Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach,"Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA"

-1773d65c1dc566fd6128db65e907ac91b4583bed,Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach,"Adobe Systems Inc., San Jose, CA, USA"

-17d03da4db3bb89537d644b682b2a091d563af4a,Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons,"Distributed Infinity, Inc., Larkspur, CO, USA"

 17d03da4db3bb89537d644b682b2a091d563af4a,Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons,"Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain"

-8f3675e979629ca9cee9436d37763f546edb8d40,Video action classification by deep learning,"Çoğulortam İşaret İşleme ve Örüntü Tanıma Grubu, İstanbul Teknik Üniversitesi, İstanbul, Türkiye"

-8fba84af61ac9b5e2bcb69b6730a597d7521ad73,Context constrained facial landmark localization based on discontinuous Haar-like feature,"Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore"

-8f73af52d87c94d0bd43242462fd68d974eda331,Improving faces/non-faces discrimination in video sequences by using a local spatio-temporal representation,"Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney, Playa, Havana, Cuba"

 8f713e3c5b6b166c213e00a3873f750fb5939c9a,The 2D factor analysis and its application to face recognition with a single sample per person,"Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil"

-8aff9c8a0e17be91f55328e5be5e94aea5227a35,Sparse Tensor Discriminant Color Space for Face Verification,"Raytheon BBN Technologies, Cambridge, MA, USA"

 8a63a2b10068b6a917e249fdc73173f5fd918db0,"A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases","Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"

 7eb8476024413269bfb2abd54e88d3e131d0aa0e,Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition,"Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan"

 7eb8476024413269bfb2abd54e88d3e131d0aa0e,Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition,"Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw"

@@ -372,476 +149,182 @@ ec983394f800da971d243f4143ab7f8421aa967c,D-FES: Deep facial expression recogniti
 7ee7b0602ef517b445316ca8aa525e28ea79307e,Emotion detection through fusion of complementary facial features,"ECE, Department MSIT, C-4 Janakpuri, New Delhi, India"

 7ee7b0602ef517b445316ca8aa525e28ea79307e,Emotion detection through fusion of complementary facial features,"B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India"

 7ec431e36919e29524eceb1431d3e1202637cf19,Object detection and tracking in crowd environment — A review,"Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India"

-10cb39e93fac194220237f15dae084136fdc6740,Informativeness of Degraded Data in Training a Classification System,"Space and Naval Warfare Systems Center Pacific, San Diego, CA, 92152, United States"

-10f4bbf87a44bab3d79e330e486c897e95f5f33f,An Experimental Evaluation of Three Classifiers for Use in Self-Updating Face Recognition Systems,"Departamento de estadística, Universidad Carlos III de Madrid, Barcelona, Spain"

-10bf35bf98cfe555dfc03b5f03f2769d330e3af9,Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification,"Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland"

-1902288256839539aeb5feb3e1699b963a15aa1a,Exploring multimodal video representation for action recognition,"Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany"

-191b70fdd6678ef9a00fd63710c70b022d075362,Synthesizing pose and lighting variation from object motion,"Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan"

-4ca9753ab023accbfa75a547a65344ee17b549ba,A general framework for Approximate Nearest Subspace search,"Technion - Israel Inst. of Technology, Haifa, 32000, Israel"

-4c0846bcfa64d9e810802c5b7ef0f8b43523fe54,Adaptive Anomaly Detection with Kernel Eigenspace Splitting and Merging,"Intel Labs Europe, London, United Kingdom"

-4cfe921ac4650470b0473fd52a2b801f4494ee64,Human vision inspired framework for facial expressions recognition,"Université de Lyon, CNRS, France"

-261a80216dda39b127d2b7497c068ec7e0fdf183,A Framework for Making Face Detection Benchmark Databases,Vols Taipei

 2138ccf78dcf428c22951cc066a11ba397f6fcef,Efficacy of biophysiological measurements at FTFPs for facial expression classification: A validation,"Curtin University Department of Mechanical Engineering, Perth, Western Australia 6012"

-21b5af67618fcc047b495d2d5d7c2bf145753633,Warp that smile on your face: Optimal and smooth deformations for face recognition,"Computer Vision Laboratory, ETH Zurich"

-21b5af67618fcc047b495d2d5d7c2bf145753633,Warp that smile on your face: Optimal and smooth deformations for face recognition,"Computer Vision and Multimodal Computing, MPI Informatics, Saarbruecken"

 21cbf46c6adfb3a44ed2b30ff0b21a8391c18b13,Learning robust latent subspace for discriminative regression,"College of Mathematics and Informatics, South China Agricultural University, China"

 214072c84378802a0a0fde0b93ffb17bc04f3759,Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos,"Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA"

 754626bd5fb06fee5e10962fdfeddd495513e84b,Facial expression pair matching,Elektronik ve Haberleşme Mühendisliği Bölümü

-754626bd5fb06fee5e10962fdfeddd495513e84b,Facial expression pair matching,"İstanbul Teknik Üniversitesi, İstanbul, Türkiye"

-8184a92e1ccc7fdeb4a198b226feb325c63d6870,Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods,"Center for Cognitive, Connected & Computational Imaging, College of Engineering & Informatics, NUI Galway, Ireland"

-8184a92e1ccc7fdeb4a198b226feb325c63d6870,Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods,"Fotonation LTD, Galway, Ireland"

-81b8a6cabcd6451b21d5b44e69b0a355d9229cc4,Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition,"CETUC, Pontifical Catholic University of Rio de Janeiro, Brazil"

-81c21f4aafab39b7f5965829ec9e0f828d6a6182,Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm,"IT - Instituto de Telecomunicações, University of Beira Interior, Portugal"

 81c21f4aafab39b7f5965829ec9e0f828d6a6182,Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm,"Department of Mathematics and Computer Science, University of Cagliari, Italy"

 81f101cea3c451754506bf1c7edf80a661fa4dd1,Exploiting sparsity and co-occurrence structure for action unit recognition,Yahoo! Research

-81f101cea3c451754506bf1c7edf80a661fa4dd1,Exploiting sparsity and co-occurrence structure for action unit recognition,Affectiva

-81f101cea3c451754506bf1c7edf80a661fa4dd1,Exploiting sparsity and co-occurrence structure for action unit recognition,MIT CSAIL

 81a80b26979b40d5ebe3f5ba70b03cb9f19dd7a5,Histogram equalized deep PCA with ELM classification for expressive face recognition,"Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand"

-86fa086d02f424705bbea53943390f009191740a,Precise eye localization with improved SDM,"Samsung Research Center-Beijing, SAIT China Lab Beijing, China"

-86fa086d02f424705bbea53943390f009191740a,Precise eye localization with improved SDM,"Samsung Electronics, SAIT Suwon-si, Korea"

-864d50327a88d1ff588601bf14139299ced2356f,Generating face images based on 3D morphable model,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia"

-8633732d9f787f8497c2696309c7d70176995c15,Multi-objective convolutional learning for face labeling,"Baidu Research, USA"

-720763bcb5e0507f13a8a319018676eb24270ff0,What can visual content analysis do for text based image search?,"Microsoft Live Labs Research, China"

 72a3bb0fb490355a926c5a689e12268bff9ff842,Coding Facial Expression with Oriented Steerable Filters,"Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn"

 72a3bb0fb490355a926c5a689e12268bff9ff842,Coding Facial Expression with Oriented Steerable Filters,"Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn"

 72a3bb0fb490355a926c5a689e12268bff9ff842,Coding Facial Expression with Oriented Steerable Filters,"Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn"

 7234468db46b37e2027ab2978c67b48b8581f796,Mirrored non-maximum suppression for accurate object part localization,Center for Research on Intelligent Perception and Computing

-72167c9e4e03e78152f6df44c782571c3058050e,Acume: A new visualization tool for understanding facial expression and gesture data,"Department of Social and Decision Sciences, Carnigie Mellon University, Pittsburgh, PA 15224, USA"

 44b91268fbbf62e1d2ba1d5331ec7aedac30dbe8,Structured supervised dictionary learning based on class-specific and shared sub-dictionaries,"Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran"

-44d93039eec244083ac7c46577b9446b3a071f3e,Empirical comparisons of several preprocessing methods for illumination insensitive face recognition,"ICT-ISVISION Joint R&D Lab. for Face Recognition, Chinese Acad. of Sci., Beijing, China"

 2afde207bd6f2e5fa20f3cf81940b18cc14e7dbb,Grassmannian Regularized Structured Multi-View Embedding for Image Classification,"School of Computer and Communication Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"

-2ae2e29c3e9cc2d94a26da5730df7845de0d631b,Audio-Visual Recognition System in Compression Domain,"Taylor's University Lakeside Campus, Selangor Darul Ehsan, Malaysia"

-2ae2e29c3e9cc2d94a26da5730df7845de0d631b,Audio-Visual Recognition System in Compression Domain,"University of Nottingham Malaysia Campus, Selangor Darul Ehsan, Malaysia"

-2a6783ae51d7ee781d584ef9a3eb8ab1997d0489,A study of large-scale ethnicity estimation with gender and age variations,"WVU, USA"

-2a6783ae51d7ee781d584ef9a3eb8ab1997d0489,A study of large-scale ethnicity estimation with gender and age variations,"NCCU, USA"

-2a84f7934365f05b6707ea0ac225210f78e547af,A joint facial point detection method of deep convolutional network and shape regression,"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China"

-2a4984fb48c175d1e42c6460c5f00963da9f26b6,Binary pattern flavored feature extractors for Facial Expression Recognition: An overview,"Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark"

-2f837ff8b134b785ee185a9c24e1f82b4e54df04,Local Binary Patterns and Its Application to Facial Image Analysis: A Survey,"Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France"

-2f837ff8b134b785ee185a9c24e1f82b4e54df04,Local Binary Patterns and Its Application to Facial Image Analysis: A Survey,"Philips Research , The Netherlands"

-2f73203fd71b755a9601d00fc202bbbd0a595110,Micro-expression Analysis by Fusing Deep Convolutional Neural Network and Optical Flow,"Kochi University of Technology, Kochi, 782-8502, Japan"

-2f841ff062053f38725030aa1b77db903dad1efb,Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets,"Australian Centre for Field Robotics University of Sydney, 2006, Australia"

 43cbe3522f356fbf07b1ff0def73756391dc3454,Laplacian of smoothed image as representation for face recognition,"School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India"

-43cbe3522f356fbf07b1ff0def73756391dc3454,Laplacian of smoothed image as representation for face recognition,"IIIT Hyderabad, 500032, A.P, India"

 4398afa0aeb5749a12772f2d81ca688066636019,Partial Matching of Facial Expression Sequence Using Over-Complete Transition Dictionary for Emotion Recognition,"Department of Electrical Engineering, KAIST, Deajeon, Daejeon, Republic of Korea"

 434f1442533754b3098afd4e24abf1e3792b24db,Over-the-shoulder shot detection in art films,"Film Department ELTE University, Budapest, Hungary"

 4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of Computer Science, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA"

 4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA"

 4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA"

 4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China"

-9f5e22fbc22e1b0a61bcd75202d299232e68de5d,Facial expression Recognition based on Motion Estimation,"Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil"

-9fd1b8abbad25cb38f0c009288fb5db0fc862db6,Soft margin AdaBoost for face pose classification,"Telecommun. & Ind. Phys., CSIRO, Epping, NSW, Australia"

-9f43caad22803332400f498ca4dd0429fe7da0aa,Exploring human visual system: Study to aid the development of automatic facial expression recognition framework,"Université de Lyon, CNRS, UMR5205, F-69622, France"

-6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7,A hybrid vision system for detecting use of mobile phones while driving,"USP - University of São Paulo / ICMC, SSC - LRM (Mobile Robots Lab.), São Carlos, 13566-590, Brazil"

-6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7,A hybrid vision system for detecting use of mobile phones while driving,"UDESC - Santa Catarina State University, DCC - CCT, Joinville, 89219-710, Brazil"

-6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7,A hybrid vision system for detecting use of mobile phones while driving,"UFSC - Federal University of Santa Catarina / INE - CTC, Florianópolis, 88040-900, Brazil"

 6ba6045e4b404c44f9b4dfce2d946019f0e85a72,Facial landmark detection based on an ensemble of local weighted regressors during real driving situation,"Dept. of Computer Engineering, Keimyung University, Daegu, Korea"

 07dc9f3b34284cc915dea7575f40ef0c04338126,Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition,School of ComputingNational University of Singapore

-38e7f3fe450b126367ec358be9b4cc04e82fa8c7,Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose,"Core Technology Center, OMRON Corporation, Kyoto, Japan"

-38345264a9ca188c4facffe6e18a7e6865fb2966,The role of reproducibility in affective computing,"Research institute for Telecommunication and Cooperation, FTK, Dortmund, Germany"

-38345264a9ca188c4facffe6e18a7e6865fb2966,The role of reproducibility in affective computing,"Cork Institute of Technology, CIT, Cork Ireland"

-38345264a9ca188c4facffe6e18a7e6865fb2966,The role of reproducibility in affective computing,"Fernuniversitt in Hagen FUH Hagen, Germany"

 00d4c2db10f3a32d505d7b8adc7179e421443dec,Data driven adaptation for QoS aware embedded vision systems,"Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA"

 003ba2001bd2614d309d6ec15e9e2cbe86db03a1,A novel post-nonlinear ICA-based reflectance model for 3D surface reconstruction,"Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan"

 00a38ebce124879738b04ffc1536018e75399193,Convolutional neural network for age classification from smart-phone based ocular images,"Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA"

-6ec275755f8776b620d0a4550be0e65caf2bc87a,Action Unit recognition in still images using graph-based feature selection,"Faculty of Telecommunications, Technical University of Sofia, Bulgaria"

-6ec275755f8776b620d0a4550be0e65caf2bc87a,Action Unit recognition in still images using graph-based feature selection,"Teleinfrastructure R&D Lab, Technical University of Sofia, Bulgaria"

-36b13627ee8a5a8cd04645213aabfa917bbd32f5,Edge-Aware Label Propagation for Mobile Facial Enhancement on the Cloud,"Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China"

 36bb93c4f381adca267191811abb8cc7812363f9,Quick retrieval method of massive face images based on global feature and local feature fusion,"Shanghai University School of Communication and Information Engineering Shanghai, China"

 5c91fc106cfe9d57a9b149c1af29ca84d403fc7e,3D Pose Tracking With Multitemplate Warping and SIFT Correspondences,"Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA"

-5c91fc106cfe9d57a9b149c1af29ca84d403fc7e,3D Pose Tracking With Multitemplate Warping and SIFT Correspondences,"GuangXi Cast Animation Company, Ltd., Nanning, China"

-5c3eb40b06543f00b2345f3291619a870672c450,Facial Expression Recognition using Auto-regressive Models,"Computer Vision Center 08193 Bellaterra, Barcelona, SPAIN"

-5c526ee00ec0e80ba9678fee5134dae3f497ff08,Contrast compensation by fuzzy classification and image illumination analysis for back-lit and front-lit color face images,"Department of Computer Science, Taipei Municipal University of Education"

 5c526ee00ec0e80ba9678fee5134dae3f497ff08,Contrast compensation by fuzzy classification and image illumination analysis for back-lit and front-lit color face images,Department of mechatronic technology of National Taiwan Normal University

 5c4f9260762a450892856b189df240f25b5ed333,Discriminative Elastic-Net Regularized Linear Regression,"Department of Information Engineering, Henan University of Science and Technology, Luoyang, China"

-0974677f59e78649a40f0a1d85735410d21b906a,A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS,"ARM, Inc., San Jose, CA"

-5dbb2d556f2e63a783a695a517f5deb11aafd7ea,Fine-grained face verification: Dataset and baseline results,"Advanced Digital Sciences Center, Singapore"

-5df17c81c266cf2ebb0778e48e825905e161a8d9,A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion,"PERCEPTION Team, INRIA Grenoble Rhône-Alpes, France"

-5d2e5833ca713f95adcf4267148ac2ccf2318539,Facial expression recognition using entropy and brightness features,"Université de Lyon, CNRS, UMR5205, F-69622, France"

-5d9f468a2841ea2f27bbe3ef2c6fe531d444be68,PT-NET: Improve object and face detection via a pre-trained CNN model,"Academy of Broadcasting Science, Beijing, P.R. China"

 5dd3c9ac3c6d826e17c5b378d1575b68d02432d7,A survey on soft Biometrics and their application in person recognition at a distance,"Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India"

-914d7527678b514e3ee9551655f55ffbd3f0eb0a,Facial action unit detection using deep neural networks in videos,"Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye"

 915ff2bedfa0b73eded2e2e08b17f861c0e82a58,Automated facial expression recognition app development on smart phones using cloud computing,"Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA"

 91e17338a12b5e570907e816bff296b13177971e,Towards open-set face recognition using hashing functions,"Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil"

-9166f46aa3e58befaefd3537e5a11b31ebeea4d0,Low-complexity HOG for efficient video saliency,"Intel Labs, Hillsboro, Oregon, USA"

-9166f46aa3e58befaefd3537e5a11b31ebeea4d0,Low-complexity HOG for efficient video saliency,"Technische Universitt Darmstadt, Computer Systems Group, Darmstadt, Germany"

 65475ce4430fb524675ebab6bcb570dfa07e0041,Mapping method between image and natural sentence,"Department of Computer, the University of Suwon, Korea"

-657e702326a1cbc561e059476e9be4d417c37795,Face detection based on multi task learning and multi layer feature fusion,"State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China"

-657e702326a1cbc561e059476e9be4d417c37795,Face detection based on multi task learning and multi layer feature fusion,"Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China"

 651cafb2620ab60a0e4f550c080231f20ae6d26e,4D unconstrained real-time face recognition using a commodity depth camera,"Singapore Polytechnic, 500 Dover Road, Singapore 139651"

-65fc8393610fceec665726fe4e48f00dc90f55fb,The effectiveness of using geometrical features for facial expression recognition,"Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg D-39016 Magdeburg, P.O. Box 4210 Germany"

-62fddae74c553ac9e34f511a2957b1614eb4f937,Action Recognition Based on Efficient Deep Feature Learning in the Spatio-Temporal Domain,"Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain"

-6267dbeb54889be5bdb50c338a7c6ef82287084c,Face recognition based on 2DPCA and fuzzy-rough technique,"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China"

-6267dbeb54889be5bdb50c338a7c6ef82287084c,Face recognition based on 2DPCA and fuzzy-rough technique,"Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China"

-9635493998ad60764d7bbf883351af57a668d159,Cross-validated smooth multi-instance learning,"Beijing E-Hualu Info Technology Co., Ltd, Beijing, China"

 96a8f115df9e2c938453282feb7d7b9fde6f4f95,Facial Expression Recognition in Video with Multiple Feature Fusion,"Department of Computer Science, Chu Hai College of Higher Education, Tsuen Wan, Hong Kong"

-96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9,State-of-the-art face recognition performance using publicly available software and datasets,"Samovar CNRS UMR 5157, Télécom SudParis, Université Paris-Saclay, Evry, France"

-96d34c1a749e74af0050004162d9dc5132098a79,High-speed face recognition based on discrete cosine transform and RBF neural networks,"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore"

-3a0558ebfde592bd8bd07cb72b8ca8f700715bfb,Learning a bag of features based nonlinear metric for facial similarity,"LIRIS, UMR 5205 CNRS, INSA-Lyon, F-69621, France"

 3a6334953cd2775fab7a8e7b72ed63468c71dee7,Automated social skills training with audiovisual information,"Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan"

-3a6334953cd2775fab7a8e7b72ed63468c71dee7,Automated social skills training with audiovisual information,"Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan"

-54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6,Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment,"Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany"

-54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6,Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment,"AI Institute of Qihoo/360 Company, Beijing, P.R. China"

-982fcead58be419e4f34df6e806204674a4bc579,Performance improvement of face recognition algorithms using occluded-region detection,"Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan"

 984edce0b961418d81203ec477b9bfa5a8197ba3,Customer and target individual face analysis for retail analytics,"Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand"

-98d1b5515b079492c8e7f0f9688df7d42d96da8e,Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior,"University of Pittsburgh and Adjunct Faculty at the Robotics Institute, Carnegie Mellon University: 3137 Sennott Square, 210 S. Bouquet St., PA 15260 USA"

-539cb169fb65a5542c84f42efcd5d2d925e87ebb,A transfer learning approach to cross-database facial expression recognition,"National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, China"

-53f5cb365806c57811319a42659c9f68b879454a,Research on face recognition based on deep learning,"College of Software, Shenyang Normal University, Shenyang, China"

 3f4711c315d156a972af37fe23642dc970a60acf,Pose invariant face recognition with 3D morphable model and neural network,"KT Future Technology Laboratory, Seoul, South Korea"

 3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,"Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India"

 3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,"Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India"

 3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,"Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India"

-3080026f2f0846d520bd5bacb0cb2acea0ffe16b,2.5D cascaded regression for robust facial landmark detection,"National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China"

 30cace74a7d51e9a928287e25bcefb968c49f331,Monocular 3D facial information retrieval for automated facial expression analysis,"VUB-NPU Joint AVSP Research Lab, Vrije Universiteit Brussel (VUB), Deptartment of Electronics & Informatics (ETRO), Pleinlaan 2, 1050 Brussel, Belgium"

-30cace74a7d51e9a928287e25bcefb968c49f331,Monocular 3D facial information retrieval for automated facial expression analysis,"VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University (NPU), Shaanxi Key Lab on Speech and Image Information Processing, 127 Youyi Xilu, X'ian 710072, China"

-5e87f5076952cd442718d6b4addce905bae1a1a4,Facial expression recognition based on salient patch selection,"Research Center of Intelligent Robotics Shanghai Jiao Tong University, Shanghai, 200240, P.R. China"

-5e87f5076952cd442718d6b4addce905bae1a1a4,Facial expression recognition based on salient patch selection,"Research & Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai, 201804, P.R. China"

 5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4,Pose-indexed based multi-view method for face alignment,"Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China"

-5b64584d6b01e66dfd0b6025b2552db1447ccdeb,Deep expectation for estimation of fingerprint orientation fields,"Norwegian Biometrics Lab, NTNU, Gj⊘vik, Norway"

 080ab68a898a3703feead145e2c38361ae84a0a8,Pairwise Costs in Semisupervised Discriminant Analysis for Face Recognition,"Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China"

-6d5f876a73799cc628e4ad2d9cfcd88091272342,An appearance model constructed on 3-D surface for robust face recognition against pose and illumination variations,"Media & Inf. Res. Labs., NEC Corp., Kanagawa, Japan"

-6da711d07b63c9f24d143ca3991070736baeb412,Spatio-temporal constraint for fast face tracking in movies,"Orange Labs International Center Beijing, Beijing, 100876, China"

 6d4c64ca6936f868d793e1b164ddaf19243c19a7,Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization,"University of Massachusetts at Amherst, Amherst, MA, USA"

-0133d1fe8a3138871075cd742c761a3de93a42ec,An SVM based scoring evaluation system for fluorescence microscopic image classification,"Water Optics Technology Pte. Ltd, Singapore"

-017e94ad51c9be864b98c9b75582753ce6ee134f,Rapid one-shot acquisition of dynamic VR avatars,"Disney Research, UK"

-0647c9d56cf11215894d57d677997826b22f6a13,Transgender face recognition with off-the-shelf pre-trained CNNs: A comprehensive study,"Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway"

-6c6f0e806e4e286f3b18b934f42c72b67030ce17,Combination of age and head pose for adult face verification,"Swiss Federal, Institute of Technology, Lausanne (EPFL), Switzerland"

-396b2963f0403109d92a4d4f26205f279ea79d2c,A joint compression-discrimination neural transformation applied to target detection,"U.S. Army Res. Lab., Adelphi, MD, USA"

-397022a4460750c762dbb0aaebcacc829dee8002,Attribute Regularization Based Human Action Recognition,"State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China"

-39af06d29a74ad371a1846259e01c14b5343e3d1,Structure-Aware Data Consolidation,"University of Bern, Neubrückstrasse 10, Bern, Switzerland"

 3980dadd27933d99b2f576c3b36fe0d22ffc4746,A facial expression recognition method based on cubic spline interpolation and HOG features,"Department of Automation, North-China University of Technology, Beijing, China"

 9944c451b4a487940d3fd8819080fe16d627892d,Human face shape analysis under spherical harmonics illumination considering self occlusion,Department of Mathematics and Computer Science University of Basel

-99a1180c3d39532efecfc5fa251d6893375c91a1,Facial expression recognition based on Gabor features and sparse representation,"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, P.R. China"

 99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,"Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain"

 99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,"Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain"

 99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,"Department of Computer Science, Madrid Open University, Madrid, Spain"

-99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,"Integrated Management Coastal Research Institute, Universitat Politècnica de València, València, Spain"

-998542e5e3882bb0ce563d390b1e1bff5460e80c,Evaluation of face recognition techniques for application to facebook,"Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213, USA"

-998542e5e3882bb0ce563d390b1e1bff5460e80c,Evaluation of face recognition techniques for application to facebook,"University of Central Florida 4000 Central Florida Blvd., Orlando, 328816, USA"

 526c79c6ce39882310b814b7918449d48662e2a9,Facial expression analysis under partial occlusion,"Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece"

 55432723c728a2ce90d817e9e9877ae9fbad6fe5,"Performance of SVM, CNN, and ANN with BoW, HOG, and Image Pixels in Face Recognition","Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh"

-553a605243b77a76c1ed4c1ad4f9a43ff45e391b,Experimental evaluation of facial expression recognition,"College of Computer Science and Technology, Xinjiang Normal University, Urumchi, 830054, China"

-55266ddbe9d5366e8cd1b0b645971cad6d12157a,Face recognition classifier based on dimension reduction in deep learning properties,"Bilişim Teknolojileri Enstitüsü, Tübitak BİLGEM, Kocaeli, Türkiye"

 55266ddbe9d5366e8cd1b0b645971cad6d12157a,Face recognition classifier based on dimension reduction in deep learning properties,"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye"

-97c59db934ff85c60c460a4591106682b5ab9caa,Extremely dense face registration: Comparing automatic landmarking algorithms for general and ethno-gender models,"Face Aging Group, UNCW"

 97c59db934ff85c60c460a4591106682b5ab9caa,Extremely dense face registration: Comparing automatic landmarking algorithms for general and ethno-gender models,"ICT Center, CSIRO"

 97c1f68fb7162af326cd0f1bc546908218ec5da6,Supervised-learning based face hallucination for enhancing face recognition,"Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan"

-97c1f68fb7162af326cd0f1bc546908218ec5da6,Supervised-learning based face hallucination for enhancing face recognition,"Institute of Communication Engineering, National Tsing-Hua University, Taiwan"

 97c1f68fb7162af326cd0f1bc546908218ec5da6,Supervised-learning based face hallucination for enhancing face recognition,Department of Electronic Engineering Shanghai Jiao Tong University

-63fd7a159e58add133b9c71c4b1b37b899dd646f,Exemplar-Based Human Action Pose Correction,"Microsoft Corporation, Redmond, WA, USA"

+63fd7a159e58add133b9c71c4b1b37b899dd646f,Exemplar-Based Human Action Pose Correction,"Department of Cognitive Science, University of California, San Diego, CA, USA"

 637b31157386efbde61505365c0720545248fbae,Deep learning with time-frequency representation for pulse estimation from facial videos,"Utechzone Co. Ltd., New Taipei City, Taiwan 235"

 636b8ffc09b1b23ff714ac8350bb35635e49fa3c,Pruning training sets for learning of object categories,"Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA"

 6345c0062885b82ccb760c738a9ab7fdce8cd577,Pain detection from facial images using unsupervised feature learning approach,"Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark"

-6316a4b689706b0f01b40f9a3cef47b92bc52411,Rotation-Invariant Neoperceptron,"BIWI, ETH Zurich Zurich, Switzerland"

 0f7e9199dad3237159e985e430dd2bf619ef2db5,Learning Social Circles in Ego-Networks Based on Multi-View Network Structure,"EECS Department, University of Kansas, Lawrence, KS"

-0f2461a265be997c962fa562ae48378fb964b7b4,Automated big security text pruning and classification,"Department of Computer Science, University of Colorado at Colorado Springs"

-0f22b89341d162a7a0ebaa3c622d9731e5551064,Object recognition in ocean imagery using feature selection and compressive sensing,"SPAWAR Systems Center Pacific, San Diego, California, USA"

-0a5b2e642683ff20b6f0cee16a32a68ba0099908,Beyond Mahalanobis distance: Learning second-order discriminant function for people verification,UIUC

 0aebe97a92f590bdf21cdadfddec8061c682cdb2,Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification,"Adobe Research Department, Adobe Systems Inc, San Jose, CA"

-0a451fc7d2c6b3509d213c210ae880645edf90ed,Semi-supervised local-learning-based feature selection,"University at Buffalo, The State University of New York, Buffalo, NY 14203, USA"

-0abfb5b89e9546f8a5c569ab35b39b888e7cea46,Toward Development of a Face Recognition System for Watchlist Surveillance,"Office of Naval Research, Arlington"

 6486b36c6f7fd7675257d26e896223a02a1881d9,Selective Review and Analysis of Aging Effects in Biometric System Implementation,"Computer Engineering Department, Girne American University, Kyrenia, Cyprus 90"

 6486b36c6f7fd7675257d26e896223a02a1881d9,Selective Review and Analysis of Aging Effects in Biometric System Implementation,"Departamento de Informtica e Matemtica Aplicada/University of Rio Grande do Norte, Natal, Brazil"

-64e216c128164f56bc91a33c18ab461647384869,Low-resolution Convolutional Neural Networks for video face recognition,"Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Adenauerring 4, 76131, Germany"

-64e216c128164f56bc91a33c18ab461647384869,Low-resolution Convolutional Neural Networks for video face recognition,"Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany"

-6489ad111fee8224b34f99d1bcfb5122786508cd,Learning symmetric face pose models online using locally weighted projectron regression,"Dalle Molle Instituite for Artificial Intelligence (IDSIA), Lugano, Switzerland"

 9048732c8591a92a1f4f589b520a733f07578f80,Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices,Tencent Inc

 9055b155cbabdce3b98e16e5ac9c0edf00f9552f,MORPH: a longitudinal image database of normal adult age-progression,"Dept. of Comput. Sci., North Carolina Univ., Wilmington, NC, USA"

-90eb66e75381cce7146b3953a2ae479a7beec539,Hybrid sensing face detection and recognition,"US Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA"

-bf30477f4bd70a585588528355b7418d2f37953e,Facial expression recognition based on static and dynamic approaches,"Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina"

-bf30477f4bd70a585588528355b7418d2f37953e,Facial expression recognition based on static and dynamic approaches,"Universidad Argentina de la Empresa (UADE), Lima 717, Buenos Aires, Argentina"

-bf3bf5400b617fef2825eb987eb496fea99804b9,Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes,"Tsinghua National Lab for Information Science and Technology, Beijing, China"

-d3dea0cd65ab3da14cb7b3bd0ec59531d98508aa,Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds,"Mines-Télécom/Télécom Lille, CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France"

-d3dea0cd65ab3da14cb7b3bd0ec59531d98508aa,Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds,"Department of Information Engineering, University of Florence, Firenze, Italy"

-d3a3d15a32644beffaac4322b9f165ed51cfd99b,Eye detection by using deep learning,"Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye"

-d4331a8dd47b03433f8390da2eaa618751861c64,Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image,"Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea"

 d4b4020e289c095ce2c2941685c6cd37667f5cc9,Facial expression recognition,"Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India"

-d4df31006798ee091b86e091a7bf5dce6e51ba3e,Face recognition using the classified appearance-based quotient image,"Corp. Res. & Dev., Toshiba Corp., Tokyo, Japan"

 bab2f4949a38a712a78aafbc0a3c392227c65f56,Eye detection using gradient histogram matching for cornea localization in refractive eye surgery,"Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan"

-ba1c0600d3bdb8ed9d439e8aa736a96214156284,Complex representations for learning statistical shape priors,"Amazon Research, Berlin, Germany"

-ba17782ca5fc0d932317389c2adf94b5dbd3ebfe,Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning,"Computer Vision Center, Edifici “O” - Campus UAB, 08193 Bellaterra (Barcelona), Spain"

-ba17782ca5fc0d932317389c2adf94b5dbd3ebfe,Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning,"IKERBASQUE, Basque Foundation for Science, and the University of the Basque Country, San Sebastian, Spain"

-a082c77e9a6c2e2313d8255e8e4c0677d325ce3e,Dynamic facial expression recognition by joint static and multi-time gap transition classification,"Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR 7222, F-75005, Paris, France"

 a07f78124f83eef1ed3a6f54ba982664ae7ca82a,Tensor based robust color face recognition,"Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 6845"

-a00fdf49e5e0a73eb24345cb25a0bd1383a10021,Evaluation of face image quality metrics in person identification problem,"P.G. Demidov Yaroslavl State University, Yaroslavl, Russia"

 a094e52771baabe4ab37ef7853f9a4f534227457,Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,"Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India"

 a094e52771baabe4ab37ef7853f9a4f534227457,Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,"Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India"

-a094e52771baabe4ab37ef7853f9a4f534227457,Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,"Amrita E-Learning Research Laboratory, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India"

-a7c066e636b8953481b4a8d8ff25a43a96dd348f,Facial expression recognition using face-regions,"Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, F-90010 Belfort, France"

-a7c066e636b8953481b4a8d8ff25a43a96dd348f,Facial expression recognition using face-regions,"Laboratoire des Systèmes de Télécommunication et Ingénierie de la Décision (LASTID) Université Ibn Tofail BP 133, Kenitra 14000, Maroc"

-a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc,A comparison of facial landmark detection methods,"Bilgisayar Mühendisliği Bölümü, Marmara Üniversitesi, İstanbul, Türkiye"

-a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc,A comparison of facial landmark detection methods,"Elektrik-Elektronik Mühendisliği Bölümü, Trakya Üniversitesi, Edirne, Türkiye"

-a735c6330430c0ff0752d117c54281b1396b16bf,Automatic location of facial landmarks for plastic surgery procedures,"Departamento de Computação, Universidade Federal do Piauí, Teresina, Brasil"

 a735c6330430c0ff0752d117c54281b1396b16bf,Automatic location of facial landmarks for plastic surgery procedures,"Clínica Otocenter, Teresina, Piauí, Brasil"

-a7f188a7161b6605d58e48b2537c18a69bd2446f,An intelligent multi-modal affect recognition system for persistent and non-invasive personal health monitoring,"UtopiaCompression Corporation, 11150 W. Olympic Blvd, Suite 820, Los Angeles, CA 90064, USA"

+a73405038fdc0d8bf986539ef755a80ebd341e97,Conditional High-Order Boltzmann Machines for Supervised Relation Learning,"Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China"

 b856d8d6bff745bb1b4beb67e4b821fc20073840,Joint dimensionality reduction for face recognition based on D-KSVD,"Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China"

-b8a16fcb65a8cee8dd32310a03fe36b5dff9266a,Facial expression recognition from static images,"Bilgisayar Mühendisligi Bölümü, İstanbul Teknik Üniversitesi"

 b1f4423c227fa37b9680787be38857069247a307,"Collecting Large, Richly Annotated Facial-Expression Databases from Movies",Commonwealth Scientific and Industrial Research Organization (CSIRO)

 b1efefcc9a5d30be90776571a6cc0071f3679753,BRoPH: A compact and efficient binary 3D feature descriptor,"Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China"

-b1534888673e6119f324082246016d28eba249aa,Saliency-based navigation in omnidirectional image,INRIA Rennes-Bretagne-Atlantique

 b1534888673e6119f324082246016d28eba249aa,Saliency-based navigation in omnidirectional image,"IRISA, University of Rennes 1"

-ddd0f1c53f76d7fc20e11b7e33bbdc0437516d2b,Deep learning-based learning to rank with ties for image re-ranking,"College of Electronic Information and Automation, Civil Aviation University of China, Tianjin"

 dd031dbf634103ff3c58ce87aa74ec6921b2e21d,3D emotional facial animation synthesis with factored conditional Restricted Boltzmann Machines,"NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical University (NPU) Shaanxi Key Lab on Speech and Image Information Processing, 127 Youyi Xilu, Xi'an 710072, China"

 dd031dbf634103ff3c58ce87aa74ec6921b2e21d,3D emotional facial animation synthesis with factored conditional Restricted Boltzmann Machines,"NPU-VUB Joint AVSP Research Lab, Vrije Universitiet Brussel (VUB), Department of Electronics & Informatics (ETRO) Pleinlaan 2, 1050 Brussel, Belgium"

-dc107e7322f7059430b4ef4991507cb18bcc5d95,Wide-angle micro sensors for vision on a tight budget,"Centeye, Inc."

-dc84d3f29c52e6d296b5d457962c02074aa75d0f,Relative Forest for Visual Attribute Prediction,"Tencent YouTu Lab, Tencent Shanghai, China"

+dc84d3f29c52e6d296b5d457962c02074aa75d0f,Relative Forest for Visual Attribute Prediction,"360 AI Institute, Beijing, China"

 dc34ab49d378ddcf6c8e2dbf5472784c5bfa8006,Image Representation Using Supervised and Unsupervised Learning Methods on Complex Domain,"Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan"

 b6bb883dd14f2737d0d6225cf4acbf050d307634,“A Leopard Cannot Change Its Spots”: Improving Face Recognition Using 3D-Based Caricatures,"Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal"

 b6259115b819424de53bb92f64cc459dcb649f31,Learning Feature Representation for Face Verification,"Gwangju Institute of Science and Technology, 123, Cheomdangwagi-ro, Buk-gu, Gwangju, South Korea"

-b63b6ed78b39166d87d4c56f8890873aa65976a2,Nonverbal communication with a multimodal agent via facial expression recognition,"CARTIF Centro Tecnológico, Robotics and Computer Vision Division, Boecillo (Valladolid, Spain)"

-b63b6ed78b39166d87d4c56f8890873aa65976a2,Nonverbal communication with a multimodal agent via facial expression recognition,"University of Valladolid (Spain), Dep. Of Systems Engineering and Automatic Control, Industrial Engineering School"

-a9fc8efd1aa3d58f89c0f53f0cb112725b5bda10,Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection,"Moshanghua Tech Company, Ltd., Beijing, China"

-a9215666b4bcdf8d510de8952cf0d55b635727dc,Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving,"Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"

-a9426cb98c8aedf79ea19839643a7cf1e435aeaa,Cascaded regression for 3D pose estimation for mouse in fisheye lens distorted monocular images,"Transmural Biotech, Barcelona, Spain"

-d569c3e62f471aa75ed53e631ec05c1a3d594595,Facial expression analysis using shape and motion information extracted by convolutional neural networks,"Inst. Dalle Molle d'Intelligence Artificielle Perceptive, Martigny, Switzerland"

-d5b445c5716952be02172ca4d40c44f4f04067fa,Person independent facial expression analysis using Gabor features and Genetic Algorithm,"Division of Control, EEE, Nanyang Tech. Univ., Singapore"

-d5b445c5716952be02172ca4d40c44f4f04067fa,Person independent facial expression analysis using Gabor features and Genetic Algorithm,"Institute for Infocomm Research, A-star, Singapore"

-d57ce0ff4acb2910c2d1afee2ebb7aa1e72a4584,Tensor-Jet: A tensorial representation of Local Binary Gaussian Jet maps,"INRIA Grenoble Rhône-Alpes Research Center, 655 avenue de l'Europe, 38 334 Saint Ismier Cedex, France"

 d2598c088b0664c084413796f39697c6f821d56e,Cross-modal face matching: Tackling visual abstraction using fine-grained attributes,"School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China"

 aad4c94fd55d33a3f3a5377bbe441c9474cdbd1e,A low rank model based improved eye detection under spectacles,"Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 769008"

-aa7c72f874951ff7ca3769439f2f39b7cfd4b202,It's All About the Data,"Computer Science, SUNY Stony Brook, Stony Brook, United States"

-aa7c72f874951ff7ca3769439f2f39b7cfd4b202,It's All About the Data,"Computer Science, U.Illinois at Urbana Champaign, Urbana, United States"

 aad6fc5bd7631d2e68b7a5a01ac5d578899c43e5,Multi-scale primal feature based facial expression modeling and identification,"Dept. of Comput. Sci., New York State Univ., Binghamton, NY, USA"

-aab9a617be6e5507beb457b1e6c2e5b046f9cff0,Face recognition using a pictorial-edit distance,"Star Technologies, USA"

-aa581b481d400982a7e2a88830a33ec42ad0414f,Learning a joint discriminative-generative model for action recognition,"Vision Semantics Ltd, UK"

 aad7b12936e0ced60bc0be95e8670b60b5d5ce20,Face identification using affine simulated dense local descriptors,"Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea"

 af97e792827438ddea1d5900960571939fc0533e,Face recognition under variable lighting using the mean-field method and the gray-level pyramid,"Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan"

-af3b803188344971aa89fee861a6a598f30c6f10,Facial expression recognition with FHOG features,"Visea İnovatif Bilgi Teknolojileri, ETGB Teknoparkı, Eskişehir, Türkiye"

-af3b803188344971aa89fee861a6a598f30c6f10,Facial expression recognition with FHOG features,"Anadolu Üniversitesi, Elek., Elektronik Mühendisliği Bölümü, Eskişehir, Türkiye"

-af3b803188344971aa89fee861a6a598f30c6f10,Facial expression recognition with FHOG features,"Eskişehir Osmangazi Üniversitesi, Bilgisayar Mühendisliği Bölümü, Eskişehir, Türkiye"

 b712f08f819b925ff7587b6c09a8855bc295d795,Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization,"Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 10029"

-b712f08f819b925ff7587b6c09a8855bc295d795,Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization,"Amazon.com Cambridge, MA, USA"

-b7845e0b0ce17cde7db37d5524ef2a61dee3e540,Fusion of classifier predictions for audio-visual emotion recognition,"Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia"

 b7a0c70a320c1ac3e92f4bf0b50a7d8ceb757c41,Understanding how deep neural networks learn face expressions,"Department of Computer Science, University of Hamburg, Germany"

-b7a0c70a320c1ac3e92f4bf0b50a7d8ceb757c41,Understanding how deep neural networks learn face expressions,"Polytechnic School, University of Pernambuco, Recife, Brazil"

-b759936982d6fb25c55c98955f6955582bdaeb27,Efficient object feature selection for action recognition,"Bioinformatics Institute, A∗STAR, Singapore"

 b7ec41005ce4384e76e3be854ecccd564d2f89fb,Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition,"National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia"

-b7461aac36fc0b8a24ecadf6c5b5caf54f2aa2f7,Two-stage cascade model for unconstrained face detection,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia"

 dba7d8c4d2fca41269a2c96b1ea594e2d0b9bdda,Largest Matching Areas for Illumination and Occlusion Robust Face Recognition,"School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K."

-dbb9601a1d2febcce4c07dd2b819243d81abb2c2,Landmark Free Face Attribute Prediction,"SAP Innovation Center Networks, Singapore"

-a85f691c9f82a248aa2c86d4a63b9036d6cf47ab,Trends and Controversies,"University of Beira Interior, IT: Instituto de Telecomunicações"

-a85f691c9f82a248aa2c86d4a63b9036d6cf47ab,Trends and Controversies,SensoMotoric Instruments (SMI)

 a85f691c9f82a248aa2c86d4a63b9036d6cf47ab,Trends and Controversies,Research and Academic Computer Network (NASK)

-a85f691c9f82a248aa2c86d4a63b9036d6cf47ab,Trends and Controversies,University of Naples Federico II

 a85f691c9f82a248aa2c86d4a63b9036d6cf47ab,Trends and Controversies,Biometric and Imaging Processing Laboratory (BIPLab)

 a88ced67f4ed7940c76b666e1c9c0f08b59f9cf8,Towards view-invariant expression analysis using analytic shape manifolds,"Center for Automation Research, UMIACS University of Maryland, College Park, MD 20742"

-ded8252fc6df715753e75ba7b7fee518361266ef,Feature extraction for facial expression recognition by canonical correlation analysis,"Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey"

-ded8252fc6df715753e75ba7b7fee518361266ef,Feature extraction for facial expression recognition by canonical correlation analysis,"Bilgisayar Mühendisliği Bölümü, İstanbul Üniversitesi, Turkey"

-ded8252fc6df715753e75ba7b7fee518361266ef,Feature extraction for facial expression recognition by canonical correlation analysis,"Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey"

 dec76940896a41a8a7b6e9684df326b23737cd5d,Seeing through the expression: Bridging the gap between expression and emotion recognition,"Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan"

-dec76940896a41a8a7b6e9684df326b23737cd5d,Seeing through the expression: Bridging the gap between expression and emotion recognition,"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"

-dec5b11b01f35f72adb41d2be26b9b95870c5c00,Facial expression recognition by combination of classifiers,"Laboratory Heudiasyc, University of Technology of Compiègne, BP 20529. F-60205, France"

-de45bf9e5593a5549a60ca01f2988266d04d77da,Continuous valence prediction using recurrent neural networks with facial expressions and EEG signals,"Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye"

-b944cc4241d195b1609a7a9d87fce0e9ba1498bc,Kernel Sparse Representation-Based Classifier,"AI Speech Ltd., Suzhou, China"

 b944cc4241d195b1609a7a9d87fce0e9ba1498bc,Kernel Sparse Representation-Based Classifier,"Department of Information Management, Yuan Ze University, Taoyuan, China"

 a13a27e65c88b6cb4a414fd4f6bca780751a59db,Deep convolution neural network with stacks of multi-scale convolutional layer block using triplet of faces for face recognition in the wild,"Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 37673"

 a13a27e65c88b6cb4a414fd4f6bca780751a59db,Deep convolution neural network with stacks of multi-scale convolutional layer block using triplet of faces for face recognition in the wild,"Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 37673"

-a1081cb856faae25df14e25045cd682db8028141,Audio-Visual Person Recognition in Multimedia Data From the Iarpa Janus Program,"Human Language Technology Center of Excellence, The Johns Hopkins University, Baltimore, MD, 21218, USA"

-ef7b8f73e95faa7a747e0b04363fced0a38d33b0,Fast and reliable human action recognition in video sequences by sequential analysis,"Department of Computer Science, University of Loughborogh"

 c3e53788370341afe426f2216bed452cbbdaf117,A crowd sourced framework for neighbour assisted medical emergency system,"School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand"

 c4b00e86841db3fced2a5d8ac65f80d0d3bbe352,A multi-view approach on modular PCA for illumination and pose invariant face recognition,"Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA"

-c444c4dab97dd6d6696f56c1cacda051dde60448,Multiview Face Detection and Registration Requiring Minimal Manual Intervention,"Nanyang Technological University and the Institute for Infocomm Research, Singapore"

 c459014131cbcd85f5bd5c0a89115b5cc1512be9,Face recognition in the presence of expression and/or illumination variation,"Inf. Syst. Dept., Buckingham Univ., UK"

-c48b68dc780c71ab0f0f530cd160aa564ed08ade,Facial expression recognition based on local binary patterns and coarse-to-fine classification,"Coll. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China"

 ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd,Age group classification in the wild with deep RoR architecture,"North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China"

 ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd,Age group classification in the wild with deep RoR architecture,"University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA"

 eac97959f2fcd882e8236c5dd6035870878eb36b,Adaptive ranking of facial attractiveness,"Department of Computer Science and Engineering, University of Califonia, San Diego"

-eac97959f2fcd882e8236c5dd6035870878eb36b,Adaptive ranking of facial attractiveness,"Department of Computer Science, Cornell University and Cornell NYC Tech"

 ea1303f6746f815b7518c82c9c4d4a00cd6328b9,Spontaneous Expression Recognition Using Universal Attribute Model,"Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India"

 ea5c9d5438cde6d907431c28c2f1f35e02b64b33,Robust principal component analysis via feature self-representation,"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"

-e101bab97bce2733222db9cfbb92a82779966508,A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition,"Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia"

-e1179a5746b4bf12e1c8a033192326bf7f670a4d,Facial makeup detection technique based on texture and shape analysis,"EURECOM, Sophia Antipolis, France"

-e1179a5746b4bf12e1c8a033192326bf7f670a4d,Facial makeup detection technique based on texture and shape analysis,"Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France"

 e198a7b9e61dd19c620e454aaa81ae8f7377ade0,A hierarchical approach to facial aging,"Face Aging Group, Computer Science Department, UNCW, USA"

-e1449be4951ba7519945cd1ad50656c3516113da,Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval,"Indian Institute of Information Technology at Allahabad, Allahabad, India"

 cd63759842a56bd2ede3999f6e11a74ccbec318b,Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression,"Hebei University of Technology, School of Science, Tianjin, P. R. China"

-cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae,Improving CNN Performance Accuracies With Min–Max Objective,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"

 cd74d606e76ecddee75279679d9770cdc0b49861,Transfer Learning of Structured Representation for Face Recognition,"Department of Mathematics, JiaYing University, Meizhou, China"

-ccb95192001b07bb25fc924587f9682b0df3de8e,Head pose estimation for recognizing face images using collaborative representation based classification,"Computer Science and Technology, IIEST, Shibpur"

-cc5edaa1b0e91bc3577547fc30ea094aa2722bf0,"The design, implementation and evaluation of a relaxation service with facial emotion detection","Graduate School of Engineering, Shibaura Institute of Technology, Tokyo, Japan"

 cc05f758ccdf57d77b06b96b9d601bf2795a6cc4,Physiological parameter monitoring of drivers based on video data and independent vector analysis,University of British Columbia Department of Electrical and Computer Engineering

 cc05f758ccdf57d77b06b96b9d601bf2795a6cc4,Physiological parameter monitoring of drivers based on video data and independent vector analysis,Nanyang Technological University School of Computer Engineering

-cc1ed45b02d7fffb42a0fd8cffe5f11792b6ea74,Analysis of the effect of image resolution on automatic face gender and age classification,"Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye"

 cceec87bad847b9b87178bde8ce5cce6bf1a8e99,Robust face recognition via transfer learning for robot partner,"Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan"

-cceec87bad847b9b87178bde8ce5cce6bf1a8e99,Robust face recognition via transfer learning for robot partner,"Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur, Malaysia"

-e6d46d923f201da644ae8d8bd04721dd9ac0e73d,Robust transgender face recognition: Approach based on appearance and therapy factors,"Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj⊘vik, Norway"

-e66a6ae542907d6a0ebc45da60a62d3eecf17839,3D-aided face recognition from videos,"Morpho, SAFRAN Group, 11 Boulevard Galliéni 92130 Issy-Les-Moulineaux - France"

-e66a6ae542907d6a0ebc45da60a62d3eecf17839,3D-aided face recognition from videos,"Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France"

-e6d6d1b0a8b414160f67142fc18e1321fe3f1c49,Semantic facial description via axiomatic Fuzzy Set based clustering,"College of Automation, Shenyang Aerospace University, China"

 e69a765d033ef6ea55c57ca41c146b27964c5cf2,A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices,"School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea"

-f95321f4348cfacc52084aae2a19127d74426047,A novel facial feature extraction method based on Empirical Mode Decomposition,"College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China"

 f0b4f5104571020206b2d5e606c4d70f496983f9,Lattice computing (LC) meta-representation for pattern classification,"Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece"

 f7ae38a073be7c9cd1b92359131b9c8374579b13,Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression,"Department of Medical Biophysics, University of Western Ontario, London, ON, Canada"

-f7ae38a073be7c9cd1b92359131b9c8374579b13,Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression,"St. Joseph’s Health Care, London, ON, Canada"

-f7ae38a073be7c9cd1b92359131b9c8374579b13,Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression,"London Healthcare Sciences Centre, London, ON, Canada"

 f7ae38a073be7c9cd1b92359131b9c8374579b13,Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression,"Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada"

-fa80344137c4d158bf59be4ac5591d074483157a,Face recognition based on constructive neural networks covering learning algorithm,"Inst. of Autom., Shanghai Jiao Tong Univ., China"

-fa08b52dda21ccf71ebc91bc0c4d206ac0aa3719,Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition,"Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil"

-fa08b52dda21ccf71ebc91bc0c4d206ac0aa3719,Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition,"Graduate Program on Electrical Engineering, University of Passo Fundo, Passo Fundo, Brazil"

-fa08b52dda21ccf71ebc91bc0c4d206ac0aa3719,Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition,"Graduate Program on Electrical Engineering, Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil"

-fa9610c2dc7e2a79e0096ac033b11508d8ae7ed7,Sparse representation based facial expression classification for pain assessment in neonates,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"

-fa9610c2dc7e2a79e0096ac033b11508d8ae7ed7,Sparse representation based facial expression classification for pain assessment in neonates,"Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China"

-fa5ab4b1b45bf22ce7b194c20c724946de2f2dd4,Neutral Face Classification Using Personalized Appearance Models for Fast and Robust Emotion Detection,"Samsung Research and Development Institute Bangalore Pvt Ltd., Bangalore, India"

 ff402bd06c9c4e94aa47ad80ccc4455efa869af3,ICA filters for lighting invariant face recognition,"Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada"

 ffb1cb0f9fd65247f02c92cfcb152590a5d68741,Complexity reduction of kernel discriminant analysis,"Department of Electronics Engineering, Mokpo National University, Republic of Korea"

-ffc81ced9ee8223ab0adb18817321cbee99606e6,A multibiometrics-based CAPTCHA for improved online security,IIIT-Delhi

-ff012c56b9b1de969328dacd13e26b7138ff298b,Facial Age Estimation With Age Difference,"Azure Storage, Microsoft, Seattle, WA, USA"

-c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6,Age and gender classification using local appearance descriptors from facial components,"Advanced Technologies Application Center (CENATAV), 7A ♯21406 Siboney, Playa, P.C.12200, Havana, Cuba"

-c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6,Age and gender classification using local appearance descriptors from facial components,"University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy"

-c5022fbeb65b70f6fe11694575b8ad1b53412a0d,Lighting normalisation for face recognition,"Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW, Australia"

 c58ece1a3fa23608f022e424ec5a93cddda31308,Extraction of Visual Facial Features for Health Management,"Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan"

 c58ece1a3fa23608f022e424ec5a93cddda31308,Extraction of Visual Facial Features for Health Management,"Department of Information Management, College of Management, National United University, Miaoli, Taiwan"

 c58ece1a3fa23608f022e424ec5a93cddda31308,Extraction of Visual Facial Features for Health Management,"Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan"

-c222f8079c246ead285894c47bdbb2dfc7741044,Face de-identification with expressions preservation,"Univ. Bordeaux, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France"

-c222f8079c246ead285894c47bdbb2dfc7741044,Face de-identification with expressions preservation,"Bordeaux INP, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France"

 c23bd1917badd27093c8284bd324332b8c45bfcf,Personalized facial expression recognition in indoor environments,"Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C."

 c2474202d56bb80663e7bece5924245978425fc1,Localize heavily occluded human faces via deep segmentation,"Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China"

-f6fc112ff7e4746b040c13f28700a9c47992045e,Bi-Level Semantic Representation Analysis for Multimedia Event Detection,"Xiamen University of Technology, Xiamen, China"

-f6532bf13a4649b7599eb40f826aa5281e392c61,Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning,"Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University , Paris, France"

-f6532bf13a4649b7599eb40f826aa5281e392c61,Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning,"Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University, Paris, France"

-f6532bf13a4649b7599eb40f826aa5281e392c61,Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning,"IETR, CNRS UMR 6164, Supelec, Cesson-Sevigne, France"

-f6532bf13a4649b7599eb40f826aa5281e392c61,Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning,"LAMIA, University of French West Indies and Guiana, EA 4540, Pointe-à-Pitre, France"

-f6311d6b3f4d3bd192d866d2e898c30eea37d7d5,Facial expression recognition based on discriminative dictionary learning,"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, China"

 f63b3b8388bc4dcd4a0330402af37a59ce37e4f3,Random attributes for image classification,"Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye"

-f6f2a212505a118933ef84110e487551b6591553,Exemplar-embed complex matrix factorization for facial expression recognition,"Fac. of Mathematics and Computer Sciences, University of Science, Ho Chi Minh City, Viet Nam"

-e9cebf627c204c6949dcc077d04c57eb66b2c038,A method for extraction of affective audio-visual facial clips from movies,"Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye"

-f180cb7111e9a6ba7cfe0b251c0c35daaef4f517,Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification,"Noah.s Ark Laboratory and Hong Kong University of Science and Technology, Hong Kong"

-f180cb7111e9a6ba7cfe0b251c0c35daaef4f517,Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification,"Noah’s Ark Laboratory, Hong Kong"

 f19bf8b5c1860cd81b5339804d5db9e791085aa7,Video action classification using symmelets and deep learning,"Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan"

 f19bf8b5c1860cd81b5339804d5db9e791085aa7,Video action classification using symmelets and deep learning,"Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan"

-e7436b8e68bb7139b823a7572af3decd96241e78,A new approach for face detection with omnidirectional sensors,"Instrumentation, IT and Systems Lab IRSEEM Rouen, FR"

-e7436b8e68bb7139b823a7572af3decd96241e78,A new approach for face detection with omnidirectional sensors,"LITIS, Universite de Rouen - INSA de Rouen, Rouen, FR"

-e73f2839fc232c03e9f027c78bc419ee15810fe8,Flexible 3D neighborhood cascade deformable part models for object detection,"VNU HCMC, University of Science, Ho Chi Minh City, Vietnam"

 e7697c7b626ba3a426106d83f4c3a052fcde02a4,Real time 3D face alignment with Random Forests-based Active Appearance Models,"Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland"

-e7e8c0bbee09b5af6f7df1de8f0f26da992737c4,Autoassociative Pyramidal Neural Network for face verification,"Centre of Informatics, Federal University of Pernambuco, Recife-PE, Brazil. Bruno J. T. Fernandes is also with the Polytechnic School, University of Pernambuco, Brazil"

 e7b7df786cf5960d55cbac4e696ca37b7cee8dcd,A sparse kernel representation method for image classification,"Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China"

-cb992fe67f0d4025e876161bfd2dda467eaec741,Random forest-based feature selection for emotion recognition,"Univ. Orléans, INSA CVL, PRISME EA 4229, Bourges, France"

-cb992fe67f0d4025e876161bfd2dda467eaec741,Random forest-based feature selection for emotion recognition,"INSA CVL, Univ. Orléans, PRISME EA 4229, Bourges, France"

-cb7a743b9811d20682c13c4ee7b791ff01c62155,VRank: Voting system on Ranking model for human age estimation,"Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, 115 Taiwan"

-cb27b45329d61f5f95ed213798d4b2a615e76be2,Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion,"Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea"

-cb160c5c2a0b34aba7b0f39f5dda6aca8135f880,Facial expression recognition based on locational features,"Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Türkiye"

-f85ccab7173e543f2bfd4c7a81fb14e147695740,A method to infer emotions from facial Action Units,"Frontier Research Group, Samsung India Software Operations, India"

-f86c6942a7e187c41dd0714531efd2be828e18ad,Low-rank and structured sparse subspace clustering,"Pattern Recognition and Intelligent System Lab (PRIS) Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China"

 f834c50e249c9796eb7f03da7459b71205dc0737,Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching,"GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France"

-ce70dd0d613b840754dce528c14c0ebadd20ffaa,Deep Learning on Sparse Manifolds for Faster Object Segmentation,"Instituto de Sistemas e Robótica, Instituto Superior Técnico, Lisboa, Portugal"

 ce70dd0d613b840754dce528c14c0ebadd20ffaa,Deep Learning on Sparse Manifolds for Faster Object Segmentation,School of Computer ScienceThe University of Adelaide

 ceba8ca45bad226c401a509e6b8ccbf31361b0c9,Facial expression recognition using Support Vector Machines,"Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey"

-ced7811f2b694e54e3d96ec5398e4b6afca67fc0,Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain,"Comput. Control Lab, Nanyang Technol. Univ., Singapore"

-464ef1b3dcbe84099c904b6f9e9281c5f6fd75eb,LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications,"Yahoo Inc., New York, NY, USA"

 4686df20f0ee40cd411e4b43860ef56de5531d9e,Illuminating light field: image-based face recognition across illuminations and poses,"Dept. of ECE, Maryland Univ., College Park, MD, USA"

-2cf3564d7421b661e84251d280d159d4b3ebb336,Discriminating projections for estimating face age in wild images,"UNCW, USA"

+46976097c54e86032932d559c8eb82ffea4bb6bb,Facial emotion recognition with anisotropic inhibited Gabor energy histograms,"Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA"

 2c6ab32a03c4862ee3e2bc02e7e74745cd523ad2,Gabor based face recognition with dynamic time warping,"School of Information Technology Jawaharlal Nehru Technological University Hyderabad Andhra Pradesh, India"

-2ce84465b9759166effc7302c2f5339766cc523d,Sparsity-based joint gaze correction and face beautification for conferencing video,"National Institute of Informatics, Japan"

 798e58c181f3ba3aecbe41acd1881860c5e2df3a,Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition,"Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece"

 798e58c181f3ba3aecbe41acd1881860c5e2df3a,Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition,"Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece"

-7914c3f510e84a3d83d66717aad0d852d6a4d148,Relative attribute guided dictionary learning,"Institute for Human-Machine Communication, TU München, Theresienstrae 90, 80333 München, Germany"

-7935f644c8044c0d3b81e2842e5ecc3672698bbb,Frequency guided bilateral symmetry Gabor Wavelet Network,"Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea"

-7918e3e15099b4b2943746e1f6c9e3992a79c5f3,Non-negative matrix factorization as a feature selection tool for maximum margin classifiers,"Epson Research and Development Inc., San Jose, CA"

-794a51097385648e3909a1acae7188f5ab881710,Accurate eye localization in low and standard definition content,"Philips Research Eindhoven, HTC 34, Netherlands"

-79fd4baca5f840d6534a053b22e0029948b9075e,Neutral-independent geometric features for facial expression recognition,"Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39106, P.O. Box 4210 Germany"

-2d79dece7890121469f515a6e773ba0251fc2d98,Integration of precise iris localization into active appearance models for automatic initialization and robust deformable face tracking,"Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany"

 2d2fb01f761d21a459cfb34935bc47ab45a9913b,Intra-Class Variation Reduction Using Training Expression Images for Sparse Representation Based Facial Expression Recognition,"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea"

-417c2fa930bb7078fdf10cb85c503bd5270b9dc2,Low-resolution video face recognition with face normalization and feature adaptation,"Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Adenauerring 4, Karlsruhe, Germany"

-417c2fa930bb7078fdf10cb85c503bd5270b9dc2,Low-resolution video face recognition with face normalization and feature adaptation,"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Fraunhoferstrasse 1, Karlsruhe, Germany"

 4113269f916117f975d5d2a0e60864735b73c64c,Regression and classification approaches to eye localization in face images,"Dept. of Eng. Sci., Oxford Univ., UK"

 83d50257eb4c0aa8d16d27bf2ee8d0614fd63bf6,A multi-perspective holistic approach to Kinship Verification in the Wild,"Department of Control and Computer Engineering, Politecnico di Torino, Italy"

-834736698f2cc5c221c22369abe95515243a9fc3,GARP-face: Balancing privacy protection and utility preservation in face de-identification,"Air Force Research Lab, Rome, NY, 13441, USA"

 1b9976fea3c1cf13f0a102a884f027d9d80a14b3,Building a game scenario to encourage children with autism to recognize and label emotions using a humanoid robot,"R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal"

-1b9976fea3c1cf13f0a102a884f027d9d80a14b3,Building a game scenario to encourage children with autism to recognize and label emotions using a humanoid robot,"Institute on Children Studies, University of Minho, Portugal"

-1b9976fea3c1cf13f0a102a884f027d9d80a14b3,Building a game scenario to encourage children with autism to recognize and label emotions using a humanoid robot,"Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom"

-1bd8ab47177997acb3b0cca4b6a801e6e6ec3eac,Fast eye localization without a face model using inner product detectors,"Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil"

-1bd8ab47177997acb3b0cca4b6a801e6e6ec3eac,Fast eye localization without a face model using inner product detectors,"Universidade Estadual de Campinas, Cx.P. 6176 Campinas-SP, CEP 13084-971, Brazil"

-1b2d9a1c067f692dd48991beff03cd62b9faebf2,Local primitive code mining for fast and accurate face recognition,"Nokia Research Center, Beijing"

-77c5437107f8138d48cb7e10b2b286fa51473678,A pseudo ensemble convolutional neural networks,"University of Science & Technology (UST), Daejeon, Korea"

-77c5437107f8138d48cb7e10b2b286fa51473678,A pseudo ensemble convolutional neural networks,"Electronics & Telecommunications Research Institute (ETRI), Daejeon, Korea"

-778c1e95b6ea4ccf89067b83364036ab08797256,Exploring Patterns of Gradient Orientations and Magnitudes for Face Recognition,"Vesalis company, Clermont-Ferrand, France"

+77c3574a020757769b2ca807ff4b95a88eaa2a37,Computerized Face Recognition in Renaissance Portrait Art: A quantitative measure for identifying uncertain subjects in ancient portraits,"Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States"

 4848a48a2b8bacd2092e87961cd86818da8e7151,Comparative evaluation of facial fiducial point detection approaches,"Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil"

 480ccd25cb2a851745f5e6e95d33edb703efb49e,Cross-Modal Message Passing for Two-Stream Fusion,"School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)"

-70341f61dfe2b92d8607814b52dfd0863a94310e,Impact of resolution and image quality on video face analysis,"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany"

 7081958a390d3033f5f33e22bbfec7055ea8d601,Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications,"Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece"

 70d8bda4aafb0272ac4b93cd43e2448446b8e94d,Using SVM to design facial expression recognition for shape and texture features,"Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan"

-70d8bda4aafb0272ac4b93cd43e2448446b8e94d,Using SVM to design facial expression recognition for shape and texture features,"Shin-Guang Elementary School, Yulin 646, Taiwan"

 1eb1fdc5c933d2483ba1acbfa8c457fae87e71e5,Building semantic understanding beyond deep learning from sound and vision,"Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil"

 84f3c4937cd006888b82f2eb78e884f2247f0c4e,Beyond touch: Natural interactions using facial expressions,"SAIT India, Samsung India Software Operations Pvt. Ltd (SISO), Bangalore, India, 560093"

-84ae55603bffda40c225fe93029d39f04793e01f,ICB-RW 2016: International challenge on biometric recognition in the wild,"IT - Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal"

-4aea1213bdb5aa6c74b99fca1afc72d8a99503c6,Facial feature extraction using hybrid genetic-simplex optimization in multi-objective Active Appearance Model,"SUPELEC / IETR, Avenue de la Boulaie, 35576 Cesson Sevigne, France"

-24b5ea4e262e22768813e7b6581f60e4ab9a8de7,"Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation","Nokia Bell-Labs, Madrid, Spain"

-24286ef164f0e12c3e9590ec7f636871ba253026,Age and gender classification using wide convolutional neural network and Gabor filter,Ajou Univ.

-2400c4994655c4dd59f919c4d6e9640f57f2009f,Super-resolution of facial images in forensics scenarios,"Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Portugal"

-24b637c98b22cd932f74acfeecdb50533abea9ae,Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation,"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"

-247a8040447b6577aa33648395d95d80441a0cf3,A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection,"Institute for Microsensors, Actuators and Systems, University of Bremen, Bremen, Germany"

 247a8040447b6577aa33648395d95d80441a0cf3,A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection,"Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany"

-24e42e6889314099549583c7e19b1cb4cc995226,Research of face recognition under active infrared lighting based on embedded system,"College of Information Technical Science, NanKai University, CITS, TianJin, China"

-235bebe7d0db37e6727dfa1246663be34027d96b,General Type-2 fuzzy edge detectors applied to face recognition systems,"Division of Graduate Studies, Tijuana Institute of Technology, México"

 235bebe7d0db37e6727dfa1246663be34027d96b,General Type-2 fuzzy edge detectors applied to face recognition systems,"School of Engineering, University of Baja California, Tijuana, México"

-23e824d1dfc33f3780dd18076284f07bd99f1c43,Spoofing faces using makeup: An investigative study,"Inria Méditerranée, France"

 4f03ba35440436cfa06a2ed2a571fea01cb36598,The extended collaborative representation-based classification,"School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China"

-4f03ba35440436cfa06a2ed2a571fea01cb36598,The extended collaborative representation-based classification,"Artificial Intelligence Key Laboratory, of Sichuan Province, Zigong, Sichuan, 643000, P. R. China"

-8d3e95c31c93548b8c71dbeee2e9f7180067a888,Template regularized sparse coding for face verification,"General Electric Global Research, Niskayuna, NY, USA"

-8dd9c97b85e883c16e5b1ec260f9cd610df52dec,Rule based assessment of hearing-impaired children's facial expressions,"Bilgisayar Mühendisliği, İstanbul Teknik Üniversitesi, İstanbul, Turkey"

 158aa18c724107587bcc4137252d0ba10debf417,A randomized approach to large-scale subspace clustering,"Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA"

-159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1,Weak Classifier for Density Estimation in Eye Localization and Tracking,"Program of Electrical Engineering, COPPE/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ CEP, Brazil"

 159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1,Weak Classifier for Density Estimation in Eye Localization and Tracking,"Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil"

 152683f3ac99f829b476ea1b1b976dec6e17b911,Evaluation of head pose estimation methods for a non-cooperative biometric system,"Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland"

-159caaa56c2291bedbd41d12af5546a7725c58d4,A joint optimization scheme to combine different levels of features for face recognition with makeup changes,"Beijing Advanced Innovation Center for Imaging Technology, Beijing 100048, China"

 127c7f87f289b1d32e729738475b337a6b042cf7,Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems,"Electronics and Telecommunications Research Institute, Korea"

-126076774da192d4d3f4efcd1accc719ee5f9683,A hybrid facial expression recognition method based on neutral face shape estimation,"Elektrik-Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey"

-126076774da192d4d3f4efcd1accc719ee5f9683,A hybrid facial expression recognition method based on neutral face shape estimation,"Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey"

 8cffe360a05085d4bcba111a3a3cd113d96c0369,Learning universal multi-view age estimator using video context,"Department of Electrical and Computer Engineering, Singapore"

-8c50869b745fc094a4fb1b27861934c3c14d7199,A study of the effect of subject motion to pulse rate estimation,"Palo Alto Research Center, Webster, NY"

-8c50869b745fc094a4fb1b27861934c3c14d7199,A study of the effect of subject motion to pulse rate estimation,"Xerox Research Center India, India"

-8c4042191431e9eb43f00b0f14c23765ab9c6688,Multi-model robust error correction for face recognition,"TCL Research America, San Jose, CA 95134, USA"

-85a136b48c2036b16f444f93b086e2bd8539a498,Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning,"Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore"

-85a136b48c2036b16f444f93b086e2bd8539a498,Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning,"OmniVision Technologies Singapore Pte. Ltd., Singapore"

-85f7f03b79d03da5fae3a7f79d9aac228a635166,Age categorization via ECOC with fused gabor and LBP features,"Institute for Infocomm Research, 1 Fusionpolis Way, #21-01, Connexis Singapore 138632, Singapore"

-85ae6fa48e07857e17ac4bd48fb804785483e268,Gender Estimation Based on Smile-Dynamics,"STARS team, Inria Sophia Antipolis-Méditerranée, Sophia Antipolis, France"

-8562b4f63e49847692b8cb31ef0bdec416b9a87a,Marginal Representation Learning With Graph Structure Self-Adaptation,"JD Artificial Intelligence Research, Beijing, China"

 71a9d7cf8cf1e206cb5fa18795f5ab7588c61aba,Robust Shape-Feature-Vector-Based Face Recognition System,"School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia"

 71a9d7cf8cf1e206cb5fa18795f5ab7588c61aba,Robust Shape-Feature-Vector-Based Face Recognition System,"School of Math and Geospatial Sciences, Royal Melbourne Institute of Technology University , Melbourne, Australia"

-7123e510dea783035b02f6c35e35a1a09677c5ab,Back to the future: A fully automatic method for robust age progression,"IBM Hursley Labs, UK"

-71ca8b6e84c17b3e68f980bfb8cddc837100f8bf,Effective 3D based frontalization for unconstrained face recognition,"Media Integration and Communication Center - MICC, University of Florence, Italy"

 71d68af11df855f886b511e4fc1635c1e9e789b0,A Self-Configurable Systolic Architecture for Face Recognition System Based on Principal Component Neural Network,"Department of Embedded Systems, Institute for Infocomm Research, Singapore"

 71c4b8e1bb25ee80f4317411ea8180dae6499524,Extended Features using Machine Learning Techniques for Photo Liking Prediction,"Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany"

-76640cb1a683a479ce2e0d6681d821ff39126d63,Innovative embodiment of job interview in emotionally aware communication robot,"Research Centre for Computers, Communication and Social Innovation La Trobe University, Victoria - 3086, Australia"

-76640cb1a683a479ce2e0d6681d821ff39126d63,Innovative embodiment of job interview in emotionally aware communication robot,"C & C Innovation Research Labs, NEC Corporation, Nara, Japan"

-8229f2735a0db0ad41f4d7252129311f06959907,Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion,"Institution for Infocomm Research, Connexis, Singapore"

-82a0a5d0785fb2c2282ed901a15c3ff02f8567df,Comparison of two methods for unsupervised person identification in TV shows,"LUNAM Université, LIUM, Le Mans, France"

 493bc7071e35e7428336a515d1d26020a5fb9015,Automated human behavioral analysis framework using facial feature extraction and machine learning,"Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 48710"

 4932b929a2e09ddebedcb1abe8c62f269e7d4e33,Color based vehicle classification in surveillance videos,"Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye"

-49068538b7eef66b4254cc11914128097302fab8,Difficult detection: A comparison of two different approaches to eye detection for unconstrained environments,"University of Colorado at Colorado Springs, Colorado Springs, CO, USA"

-49068538b7eef66b4254cc11914128097302fab8,Difficult detection: A comparison of two different approaches to eye detection for unconstrained environments,"Securics, Inc. Colorado Springs, CO, USA"

-496d62741e8baf3859c24bb22eaccd3043322126,Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis,"Beijing Etrol Technologies Co., Ltd, Beijing, China"

+40c9dce0a4c18829c4100bff5845eb7799b54ca1,Expression-invariant facial identification,"School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia"

+40c9dce0a4c18829c4100bff5845eb7799b54ca1,Expression-invariant facial identification,"School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia"

 4033ac52dba394e390a86cd149b9838f1d7834b5,A modularly vectorized two dimensional LDA for face recognition,"Dept. of Computer Science, YiLi Normal College, Yining, China 835000"

 4033ac52dba394e390a86cd149b9838f1d7834b5,A modularly vectorized two dimensional LDA for face recognition,"Dept. of Computing, Curtin University of Technology, WA 6102, USA"

 4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676,ADL: Active dictionary learning for sparse representation,"Vulcan Inc, Seattle, WA 98104"

 4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676,ADL: Active dictionary learning for sparse representation,"Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881"

-405cf40f3ce74210f7e9862b2b828ce002b409ed,Comprehensive study of features for subject-independent emotion recognition,"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India"

-405cf40f3ce74210f7e9862b2b828ce002b409ed,Comprehensive study of features for subject-independent emotion recognition,"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore"

-2e7e1ee7e3ee1445939480efd615e8828b9838f8,Automatically Detecting Pain in Video Through Facial Action Units,"Commonwealth Scientific and Industrial Research Organization, Pullenvale, Australia"

-2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d,Genealogical face recognition based on UB KinFace database,"CSE, SUNY at Buffalo, USA"

-2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d,Genealogical face recognition based on UB KinFace database,"CSE, SUNY at Buffalo, USA and Southeast University, China"

 2e6776cd582c015b46faf616f29c98ce9cff51a2,Facial expression recognition using kernel canonical correlation analysis (KCCA),"Res. Center for Learning Sci., Southeast Univ., Jiangsu, China"

-2bf646a6efd15ab830344ae9d43e10cc89e29f34,Structured AutoEncoders for Subspace Clustering,"3OmniVision Technologies Singapore Pte. Ltd., Singapore"

-2bf646a6efd15ab830344ae9d43e10cc89e29f34,Structured AutoEncoders for Subspace Clustering,"Institute of High Performance Computing, A*STAR, Singapore"

-2bf646a6efd15ab830344ae9d43e10cc89e29f34,Structured AutoEncoders for Subspace Clustering,"AI Lab, TAL Education Group, College of Electronics and Information Engineering, Sichuan University, Chengdu, China"

-2bcd9b2b78eb353ea57cf50387083900eae5384a,Image ranking and retrieval based on multi-attribute queries,IBM T. J. Watson Research Center

 2be9284d531b8c573a4c39503ca50606446041a3,Recovering facial shape using a statistical surface normal model,"Dept. of Comput. Sci., York Univ., UK"

-782a05fbe30269ff8ab427109f5c4d0a577e5284,Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition,"Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangdong Engineering Research Center of Data Security and Privacy Preserving, College of Information Science and Technology, Jinan University, Guangzhou, China"

-782a05fbe30269ff8ab427109f5c4d0a577e5284,Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition,"Baiyun District Bureau of Justice, Guangzhou, China"

 780c8a795baca1ba4cb4956cded877dd3d1ca313,Simulation of face recognition at a distance by scaling down images,"Dept. of Advanced Technologies, Alcorn State University, MS, USA"

 8be60114634caa0eff8566f3252cb9a1b7d5ef10,Multiple target tracking with structural inference,Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering

 8b4124bb68e5b3e6b8b77888beae7350dc594a40,Expression-invariant face recognition system using subspace model analysis,"Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia"

 13d430257d595231bda216ef859950caa736ad1d,Finding a Proper Approach to Obtain Cognitive Parameters from Human Faces Under Illumination Variations,"Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile"

 7f9be0e08784835de0f8bc3a82fcca02b3721dc1,Facial expression recognition under random block occlusion based on maximum likelihood estimation sparse representation,"School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China"

-7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a,A multi-view face database from Turkish TV series,"Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Turkiye"

-7a595800b490ff437ab06fe7612a678d5fe2b57d,Improved concept similarity measuring in the visual domain,"Microsoft Research Asia, 49 Zhichun Road, Beijing, 100190, China"

-7a09e8f65bd85d4c79f0ae90d4e2685869a9894f,Face and Hair Region Labeling Using Semi-Supervised Spectral Clustering-Based Multiple Segmentations,"Korea Institute of Oriental Medicine, Daejeon, South Korea"

-7a91617ec959acedc5ec8b65e55b9490b76ab871,An efficient illumination invariant face recognition technique using two dimensional linear discriminant analysis,"Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India"

-7acbf0b060e948589b38d5501ca217463cfd5c2f,Learning Multiple Relative Attributes With Humans in the Loop,"IBM T. J. Watson Research, Yorktown Heights, NY, USA"

 7acbf0b060e948589b38d5501ca217463cfd5c2f,Learning Multiple Relative Attributes With Humans in the Loop,"Department of Computer Science, University of California at Davis, Davis, USA"

 8ebe2df4d82af79f0f082ced70f3a73d7fb93b66,Relative attributes with deep Convolutional Neural Network,"Department of Electrical Engineering, KAIST, Daejeon, Korea"

 8e21399bb102e993edd82b003c306a068a2474da,A complete discriminative subspace for robust face recognition,"China Electronics Standardization Institute, Beijing, 100007"

 22648dcd3100432fe0cc71e09de5ee855c61f12b,Automatic generation of composite image descriptions,"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel"

-228ea13041910c41b50d0052bdce924037c3bc6a,A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers,"National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand"

-2238dddb76499b19035641d97711cf30d899dadb,Lip shape based emotion identification,"Elektrik - Elektronik Mühendisliği Bölümü, Atılım Üniversitesi, Ankara, Türkiye"

-22a10d8d2a2cb9055557a3b335d6706100890afb,Comparison of matrix decomposition and SIFT descriptor based methods for face alignment,"Elektrik-Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Turkey"

-2564920d6976be68bb22e299b0b8098090bbf259,Face recognition algorithm based on cascading BGP feature fusion,"National University of Defence Technology, Changsha 410000, China"