1 files changed, 1165 insertions, 721 deletions
diff --git a/reports/stats/unknown_papers.csv b/reports/stats/unknown_papers.csv
index a5614922..0e09b9e9 100644
--- a/reports/stats/unknown_papers.csv
+++ b/reports/stats/unknown_papers.csv
@@ -8,10 +8,6 @@ Labelled Facial Images
 Shital A. Shinde*, Prof. Archana Chaugule
 Department of Computer Engg, DYPIET Pimpri,
 Savitri Bai Phule Pune University, Maharashtra India"
-61542874efb0b4c125389793d8131f9f99995671,Fair comparison of skin detection approaches on publicly available datasets,"Fair comparison of skin detection approaches on publicly available datasets
-Alessandra Luminia and Loris Nannib
-. DISI, Università di Bologna, Via Sacchi 3, 47521 Cesena, Italy.
-DEI - University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy."
 6180bc0816b1776ca4b32ced8ea45c3c9ce56b47,Fast Randomized Algorithms for Convex Optimization and Statistical Estimation,"Fast Randomized Algorithms for Convex Optimization and
 Statistical Estimation
 Mert Pilanci
@@ -242,12 +238,6 @@ Dr. Pauli Miettinen
 Prof. Gerhard Weikum
 November 2013
 UNIVERSITASSARAVIENSIS"
-59bece468ed98397d54865715f40af30221aa08c,Deformable part-based robust face detection under occlusion by using face decomposition into face components,"Deformable Part-based Robust Face Detection
-under Occlusion by Using Face Decomposition
-into Face Components
-Darijan Marčetić, Slobodan Ribarić
-University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia
-{darijan.marcetic,"
 59a35b63cf845ebf0ba31c290423e24eb822d245,The FaceSketchID System: Matching Facial Composites to Mugshots,"The FaceSketchID System: Matching Facial
 Composites to Mugshots
 Scott J. Klum, Student Member, IEEE, Hu Han, Member, IEEE, Brendan F. Klare, Member, IEEE,
@@ -296,12 +286,6 @@ Benjamin Drayer and Thomas Brox
 Department of Computer Science,
 Centre of Biological Signalling Studies (BIOSS),
 University of Freiburg, Germany"
-928b8eb47288a05611c140d02441660277a7ed54,Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks,"Exploiting Images for Video Recognition with Hierarchical Generative
-Adversarial Networks
-Feiwu Yu1, Xinxiao Wu1 ∗, Yuchao Sun1, Lixin Duan2
-Beijing Laboratory of Intelligent Information Technology, School of Computer Science,
-Big Data Research Center, University of Electronic Science and Technology of China
-Beijing Institute of Technology"
 92c2dd6b3ac9227fce0a960093ca30678bceb364,On Color Texture Normalization for Active Appearance Models,"Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published
 version when available.
 Title
@@ -927,22 +911,17 @@ CLASSIFIER-TO-GENERATOR ATTACK: ESTIMATION
 OF TRAINING DATA DISTRIBUTION FROM CLASSIFIER
 Anonymous authors
 Paper under double-blind review"
+57fd229097e4822292d19329a17ceb013b2cb648,Fast Structural Binary Coding,"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
+Fast Structural Binary Coding
+⇤Department of Electrical and Computer Engineering,University of California, San Diego
+Dongjin Song⇤, Wei Liu], and David A. Meyer†
+La Jolla, USA, 92093-0409. Email:
+] Didi Research, Didi Kuaidi, Beijing, China. Email:
+Department of Mathematics,University of California, San Diego
+La Jolla, USA, 92093-0112. Email:"
 57c59011614c43f51a509e10717e47505c776389,Unsupervised Human Action Detection by Action Matching,"Unsupervised Human Action Detection by Action Matching
 Basura Fernando∗ Sareh Shirazi† Stephen Gould∗
 The Australian National University †Queensland University of Technology"
-571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval: From Its Origin to the New Age,"International Journal of Research Studies in Science, Engineering and Technology
-Volume 3, Issue 2, February 2016, PP 18-41
-ISSN 2349-4751 (Print) & ISSN 2349-476X (Online)
-Review on Content Based Image Retrieval: From Its Origin to the
-New Age
-Mrs. P. Nalini
-Assistant Professor, ECE
-Dr. B. L. Malleswari
-Principal
-Mahatma Gandhi Institute of Technology
-Sridevi Women's Engineering College
-Hyderabad, India
-Hyderabad, India"
 57f8e1f461ab25614f5fe51a83601710142f8e88,Region Selection for Robust Face Verification using UMACE Filters,"Region Selection for Robust Face Verification using UMACE Filters
 Salina Abdul Samad*, Dzati Athiar Ramli, Aini Hussain
 Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering,
@@ -1012,15 +991,6 @@ Wei Li1
 College of Information Science and Technology,
 Beijing University of Chemical Technology, China
 YUNSHITU Corp., China"
-574ad7ef015995efb7338829a021776bf9daaa08,AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos,"AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks
-for Human Action Recognition in Videos
-Amlan Kar1,∗
-Nishant Rai1,∗
-Karan Sikka2,3,†
-Gaurav Sharma1
-IIT Kanpur‡
-SRI International
-UCSD"
 57a14a65e8ae15176c9afae874854e8b0f23dca7,Seeing Mixed Emotions: The Specificity of Emotion Perception From Static and Dynamic Facial Expressions Across Cultures,"UvA-DARE (Digital Academic Repository)
 Seeing mixed emotions: The specificity of emotion perception from static and dynamic
 facial expressions across cultures
@@ -1132,11 +1102,6 @@ destin´ee au d´epˆot et `a la diffusion de documents
 scientiﬁques de niveau recherche, publi´es ou non,"
 6f7d06ced04ead3b9a5da86b37e7c27bfcedbbdd,Multi-Scale Fully Convolutional Network for Fast Face Detection,"Pages 51.1-51.12
 DOI: https://dx.doi.org/10.5244/C.30.51"
-6f7a8b3e8f212d80f0fb18860b2495be4c363eac,Creating Capsule Wardrobes from Fashion Images,"Creating Capsule Wardrobes from Fashion Images
-Wei-Lin Hsiao
-UT-Austin
-Kristen Grauman
-UT-Austin"
 6f6b4e2885ea1d9bea1bb2ed388b099a5a6d9b81,"Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features","Structured Output SVM Prediction of Apparent Age,
 Gender and Smile From Deep Features
 Michal Uˇriˇc´aˇr
@@ -1265,26 +1230,6 @@ Subhransu Maji and Alexander C. Berg
 Sam Hare
 VGG Reading Group
 October 30, 2009"
-03fc466fdbc8a2efb6e3046fcc80e7cb7e86dc20,A real time system for model-based interpretation of the dynamics of facial expressions,"A Real Time System for Model-based Interpretation of
-the Dynamics of Facial Expressions
-Christoph Mayer, Matthias Wimmer, Freek Stulp, Zahid Riaz, Anton Roth, Martin Eggers, Bernd Radig
-Technische Universit¨at M¨unchen
-Boltzmannstr. 3, 85748 Garching
-. Motivation
-Recent progress in the ﬁeld of Computer Vision allows
-intuitive interaction via speech, gesture or facial expressions
-etween humans and technical systems.Model-based tech-
-niques facilitate accurately interpreting images with faces
-y exploiting a priori knowledge, such as shape and texture
-information. This renders them an inevitable component
-to realize the paradigm of intuitive human-machine interac-
-tion.
-Our demonstration shows model-based recognition of
-facial expressions in real-time via the state-of-the-art
-Candide-3 face model [1] as visible in Figure 1. This three-
-dimensional and deformable model is highly appropriate
-for real-world face interpretation applications. However,
-its complexity challenges the task of model ﬁtting and we"
 03b98b4a2c0b7cc7dae7724b5fe623a43eaf877b,Acume: A Novel Visualization Tool for Understanding Facial Expression and Gesture Data,"Acume: A Novel Visualization Tool for Understanding Facial
 Expression and Gesture Data"
 03adcf58d947a412f3904a79f2ab51cfdf0e838a,Video-based face recognition: a survey,"World Journal of Science and Technology 2012, 2(4):136-139
@@ -1461,6 +1406,16 @@ Volume 4 Issue 10, October 2015
 Review On Attribute-assisted Reranking for
 Image Search
 Waghmare Supriya, Wavhal Archana, Patil Nital, Tapkir Yogita, Prof. Yogesh Thorat"
+9eeada49fc2cba846b4dad1012ba8a7ee78a8bb7,A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA,"Hong-Bo Deng, Lian-Wen Jin, Li-Xin Zhen, Jian-Cheng Huang
+A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA
+A New Facial Expression Recognition Method Based on
+Local Gabor Filter Bank and PCA plus LDA
+Hong-Bo Deng1, Lian-Wen Jin1, Li-Xin Zhen2, Jian-Cheng Huang2
+School of Electronic and Information Engineering, South China
+University of Technology, Guangzhou, 510640, P.R.China
+Motorola China Research Center, Shanghai, 210000, P.R.China
+{hbdeng,
+{Li-Xin.Zhen,"
 9ef2b2db11ed117521424c275c3ce1b5c696b9b3,Robust Face Alignment Using a Mixture of Invariant Experts,"Robust Face Alignment Using a Mixture of Invariant Experts
 Oncel Tuzel†
 Salil Tambe‡∗
@@ -1684,6 +1639,26 @@ EMOTION RECOGNITION
 Xiang Xiang, Minh Dao, Gregory D. Hager, Trac D. Tran
 Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA
 {xxiang, minh.dao, ghager1,"
+324f39fb5673ec2296d90142cf9a909e595d82cf,Relationship Matrix Nonnegative Decomposition for Clustering,"Hindawi Publishing Corporation
+Mathematical Problems in Engineering
+Volume 2011, Article ID 864540, 15 pages
+doi:10.1155/2011/864540
+Research Article
+Relationship Matrix Nonnegative
+Decomposition for Clustering
+Ji-Yuan Pan and Jiang-She Zhang
+Faculty of Science and State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong
+University, Xi’an Shaanxi Province, Xi’an 710049, China
+Correspondence should be addressed to Ji-Yuan Pan,
+Received 18 January 2011; Revised 28 February 2011; Accepted 9 March 2011
+Academic Editor: Angelo Luongo
+Copyright q 2011 J.-Y. Pan and J.-S. Zhang. This is an open access article distributed under
+the Creative Commons Attribution License, which permits unrestricted use, distribution, and
+reproduction in any medium, provided the original work is properly cited.
+Nonnegative matrix factorization (cid:2)NMF(cid:3) is a popular tool for analyzing the latent structure of non-
+negative data. For a positive pairwise similarity matrix, symmetric NMF (cid:2)SNMF(cid:3) and weighted
+NMF (cid:2)WNMF(cid:3) can be used to cluster the data. However, both of them are not very ef‌f‌icient
+for the ill-structured pairwise similarity matrix. In this paper, a novel model, called relationship"
 321bd4d5d80abb1bae675a48583f872af3919172,Entropy-weighted feature-fusion method for head-pose estimation,"Wang et al. EURASIP Journal on Image and Video Processing  (2016) 2016:44
 DOI 10.1186/s13640-016-0152-3
 EURASIP Journal on Image
@@ -1788,6 +1763,11 @@ repository, and is made available under the terms and conditions
 pplicable to Other Posted Material, as set forth at http://
 nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-"
 353a89c277cca3e3e4e8c6a199ae3442cdad59b5,Learning from Multiple Views of Data,
+35e0256b33212ddad2db548484c595334f15b4da,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,"Attentive Fashion Grammar Network for
+Fashion Landmark Detection and Clothing Category Classiﬁcation
+Wenguan Wang∗1,2, Yuanlu Xu∗2, Jianbing Shen†1, and Song-Chun Zhu2
+Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China
+Department of Computer Science and Statistics, University of California, Los Angeles, USA"
 35e6f6e5f4f780508e5f58e87f9efe2b07d8a864,Summarization of User-Generated Sports Video by Using Deep Action Recognition Features,"This paper is a preprint (IEEE accepted status). IEEE copyright notice. 2018 IEEE.
 Personal use of this material is permitted. Permission from IEEE must be obtained for all
 other uses, in any current or future media, including reprinting/republishing this material for
@@ -1800,13 +1780,21 @@ keywords: Cameras; Feature extraction; Games; Hidden Markov models; Semantics;
 Three-dimensional displays; 3D convolutional neural networks; Sports video summarization;
 ction recognition; deep learning; long short-term memory; user-generated video,
 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8259321&isnumber=4456689"
+35e87e06cf19908855a16ede8c79a0d3d7687b5c,Strategies for Multi-View Face Recognition for Identification of Human Faces: A Review,"Strategies for Multi-View Face Recognition for
+Identification of Human Faces: A Review
+Pritesh G. Shah
+Department of Computer Science
+Mahatma Gandhi Shikshan Mandal’s,
+Arts, Science and Commerce College, Chopda
+Dist: Jalgaon (M.S)
+Dr. R.R.Manza
+Department of Computer Science and IT
+Dr. Babasaheb Ambedkar Marathwada University
+Aurangabad."
 352110778d2cc2e7110f0bf773398812fd905eb1,Matrix Completion for Weakly-Supervised Multi-Label Image Classification,"TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, JUNE 2014
 Matrix Completion for Weakly-supervised
 Multi-label Image Classiﬁcation
 Ricardo Cabral, Fernando De la Torre, João P. Costeira, Alexandre Bernardino"
-6964af90cf8ac336a2a55800d9c510eccc7ba8e1,Temporal Relational Reasoning in Videos,"Temporal Relational Reasoning in Videos
-Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba
-MIT CSAIL"
 69ff40fd5ce7c3e6db95a2b63d763edd8db3a102,Human Age Estimation via Geometric and Textural Features,"HUMAN AGE ESTIMATION VIA GEOMETRIC AND TEXTURAL
 FEATURES
 Merve KILINC1 and Yusuf Sinan AKGUL2
@@ -1815,10 +1803,6 @@ GIT Vision Lab, http://vision.gyte.edu.tr/, Department of Computer Engineering,
 Kocaeli, Turkey
 Keywords:
 Age estimation:age classiﬁcation:geometric features:LBP:Gabor:LGBP:cross ratio:FGNET:MORPH"
-69d29012d17cdf0a2e59546ccbbe46fa49afcd68,Subspace clustering of dimensionality-reduced data,"Subspace clustering of dimensionality-reduced data
-Reinhard Heckel, Michael Tschannen, and Helmut B¨olcskei
-ETH Zurich, Switzerland
-Email:"
 69a55c30c085ad1b72dd2789b3f699b2f4d3169f,Automatic Happiness Strength Analysis of a Group of People using Facial Expressions,"International Journal of Computer Trends and Technology (IJCTT) – Volume 34 Number 3 - April 2016
 Automatic Happiness Strength Analysis of a
 Group of People using Facial Expressions
@@ -1881,6 +1865,26 @@ Ha	Le
 University	of	Houston
 7	PUBLICATIONS			2	CITATIONS
 Ioannis	A	Kakadiaris"
+3cc3cf57326eceb5f20a02aefae17108e8c8ab57,Benchmark for Evaluating Biological Image Analysis Tools,"BENCHMARK FOR EVALUATING BIOLOGICAL IMAGE ANALYSIS TOOLS
+Elisa Drelie Gelasca, Jiyun Byun, Boguslaw Obara, B.S. Manjunath
+Center for Bio-Image Informatics, Electrical and Computer Engineering Department,
+University of California, Santa Barbara 93106-9560,
+http://www.bioimage.ucsb.edu
+Biological images are critical components for a detailed understanding of the structure and functioning of cells and proteins.
+Image processing and analysis tools increasingly play a signiﬁcant role in better harvesting this vast amount of data, most of
+which is currently analyzed manually and qualitatively. A number of image analysis tools have been proposed to automatically
+extract the image information. As the studies relying on image analysis tools have become widespread, the validation of
+these methods, in particular, segmentation methods, has become more critical. There have been very few efforts at creating
+enchmark datasets in the context of cell and tissue imaging, while, there have been successful benchmarks in other ﬁelds, such
+s the Berkeley segmentation dataset [1], the handwritten digit recognition dataset MNIST [2] and face recognition dataset [3, 4].
+In the ﬁeld of biomedical image processing, most of standardized benchmark data sets concentrates on macrobiological images
+such as mammograms and magnet resonance imaging (MRI) images [5], however, there is still a lack of a standardized dataset
+for microbiological structures (e.g. cells and tissues) and it is well known in biomedical imaging [5].
+We propose a benchmark for biological images to: 1) provide image collections with well deﬁned ground truth; 2) provide
+image analysis tools and evaluation methods to compare and validate analysis tools. We include a representative dataset of
+microbiological structures whose scales range from a subcellular level (nm) to a tissue level (µm), inheriting intrinsic challenges
+in the domain of biomedical image analysis (Fig. 1). The dataset is acquired through two of the main microscopic imaging
+techniques: transmitted light microscopy and confocal laser scanning microscopy. The analysis tools1in the benchmark are"
 3cfbe1f100619a932ba7e2f068cd4c41505c9f58,A Realistic Simulation Tool for Testing Face Recognition Systems under Real-World Conditions,"A Realistic Simulation Tool for Testing Face Recognition
 Systems under Real-World Conditions∗
 M. Correa, J. Ruiz-del-Solar, S. Parra-Tsunekawa, R. Verschae
@@ -2101,6 +2105,26 @@ Zeshan Hussain"
 580054294ca761500ada71f7d5a78acb0e622f19,A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses,"A Subspace Model-Based Approach to Face
 Relighting Under Unknown Lighting and Poses
 Hyunjung Shim, Student Member, IEEE, Jiebo Luo, Senior Member, IEEE, and Tsuhan Chen, Fellow, IEEE"
+587c48ec417be8b0334fa39075b3bfd66cc29dbe,Serial dependence in the perception of attractiveness,"Journal of Vision (2016) 16(15):28, 1–8
+Serial dependence in the perception of attractiveness
+Ye Xia
+Department of Psychology, University of California,
+Berkeley, CA, USA
+Allison Yamanashi Leib
+Department of Psychology, University of California,
+Berkeley, CA, USA
+David Whitney
+Department of Psychology, University of California,
+Berkeley, CA, USA
+Helen Wills Neuroscience Institute, University of
+California, Berkeley, CA, USA
+Vision Science Group, University of California,
+Berkeley, CA, USA
+The perception of attractiveness is essential for choices
+of food, object, and mate preference. Like perception of
+other visual features, perception of attractiveness is
+stable despite constant changes of image properties due
+to factors like occlusion, visual noise, and eye"
 58081cb20d397ce80f638d38ed80b3384af76869,Embedded Real-Time Fall Detection Using Deep Learning For Elderly Care,"Embedded Real-Time Fall Detection Using Deep
 Learning For Elderly Care
 Hyunwoo Lee∗
@@ -2226,11 +2250,6 @@ Variants: A Comprehensive Study
 Department of Computer Vision and Robotics, University of Science, VNU-HCM, Viet Nam
 Phan Khoi, Lam Huu Thien, Vo Hoai Viet
 face  searching,"
-672fae3da801b2a0d2bad65afdbbbf1b2320623e,Pose-Selective Max Pooling for Measuring Similarity,"Pose-Selective Max Pooling for Measuring Similarity
-Xiang Xiang1 and Trac D. Tran2
-Dept. of Computer Science
-Dept. of Electrical & Computer Engineering
-Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA"
 67ba3524e135c1375c74fe53ebb03684754aae56,A compact pairwise trajectory representation for action recognition,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"
 6769cfbd85329e4815bb1332b118b01119975a95,Tied factor analysis for face recognition across large pose changes,"Tied factor analysis for face recognition across
@@ -2287,10 +2306,6 @@ Souﬁane Belharbi∗1, Cl´ement Chatelain∗1, Romain H´erault∗1, and S´eb
 LITIS EA 4108, INSA de Rouen, Saint ´Etienne du Rouvray 76800, France
 LITIS EA 4108, UFR des Sciences, Universit´e de Rouen, France.
 April 13, 2015"
-0bf3513d18ec37efb1d2c7934a837dabafe9d091,Robust Subspace Clustering via Thresholding Ridge Regression,"Robust Subspace Clustering via Thresholding Ridge Regression
-Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore 138632
-Xi Peng1, Zhang Yi2,∗, Huajin Tang1,∗
-College of Computer Science, Sichuan University, Chengdu 610065, P.R. China."
 0b20f75dbb0823766d8c7b04030670ef7147ccdd,Feature selection using nearest attributes,"Feature selection using nearest attributes
 Alex Pappachen James, Member, IEEE, and Sima Dimitrijev, Senior Member, IEEE"
 0b5a82f8c0ee3640503ba24ef73e672d93aeebbf,On Learning 3D Face Morphable Model from In-the-wild Images,"On Learning 3D Face Morphable Model
@@ -2384,6 +2399,19 @@ Low Resolution Image
 Vikas1, Amanpreet Kaur2
 Research Scholar, CGC Group of Colleges, Gharuan, Punjab, India
 Assistant Professor, Department of Computer Science Engineering, Chandigarh University, Gharuan, Punjab, India"
+94eeae23786e128c0635f305ba7eebbb89af0023,On the Emergence of Invariance and Disentangling in Deep Representations,"Journal of Machine Learning Research 18 (2018) 1-34
+Submitted 01/17; Revised 4/18; Published 6/18
+Emergence of Invariance and Disentanglement
+in Deep Representations∗
+Alessandro Achille
+Department of Computer Science
+University of California
+Los Angeles, CA 90095, USA
+Stefano Soatto
+Department of Computer Science
+University of California
+Los Angeles, CA 90095, USA
+Editor: Yoshua Bengio"
 944faf7f14f1bead911aeec30cc80c861442b610,Action Tubelet Detector for Spatio-Temporal Action Localization,"Action Tubelet Detector for Spatio-Temporal Action Localization
 Vicky Kalogeiton1,2
 Philippe Weinzaepfel3
@@ -2434,6 +2462,9 @@ nd Gene Cheung, Senior Member, IEEE,"
 On the Use of Discriminative Cohort Score
 Normalization for Unconstrained Face Recognition
 Massimo Tistarelli, Senior Member, IEEE, Yunlian Sun, and Norman Poh, Member, IEEE"
+0e986f51fe45b00633de9fd0c94d082d2be51406,"Face detection, pose estimation, and landmark localization in the wild","Face Detection, Pose Estimation, and Landmark Localization in the Wild
+Xiangxin Zhu Deva Ramanan
+Dept. of Computer Science, University of California, Irvine"
 0e49a23fafa4b2e2ac097292acf00298458932b4,Unsupervised Detection of Outlier Images Using Multi-Order Image Transforms,"Theory and Applications of Mathematics & Computer Science 3 (1) (2013) 13–31
 Unsupervised Detection of Outlier Images Using Multi-Order
 Image Transforms
@@ -2466,18 +2497,6 @@ Ultra College of Engineering and Technology for Women,India.
 Assistant Professor
 Department of Computer Science and Engineering
 Vickram College of Engineering, Enathi, Tamil Nadu, India."
-60c24e44fce158c217d25c1bae9f880a8bd19fc3,Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation,"Controllable Image-to-Video Translation:
-A Case Study on Facial Expression Generation
-Lijie Fan
-MIT CSAIL
-Wenbing Huang
-Tencent AI Lab
-Chuang Gan
-MIT-Waston Lab
-Junzhou Huang
-Tencent AI Lab
-Boqing Gong
-Tencent AI Lab"
 60e2b9b2e0db3089237d0208f57b22a3aac932c1,Frankenstein: Learning Deep Face Representations Using Small Data,"Frankenstein: Learning Deep Face Representations
 using Small Data
 Guosheng Hu, Member, IEEE, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, and Jakob Verbeek"
@@ -2503,26 +2522,33 @@ Landmark Detection Trained using a Mixture of Synthetic and
 Real Images with Dynamic Weighting
 Zhen-Hua Feng, Student Member, IEEE, Guosheng Hu, Student Member, IEEE, Josef Kittler,
 Life Member, IEEE, William Christmas, and Xiao-Jun Wu"
-60a20d5023f2bcc241eb9e187b4ddece695c2b9b,Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning,"Invertible Nonlinear Dimensionality Reduction
-via Joint Dictionary Learning
-Xian Wei, Martin Kleinsteuber, and Hao Shen
-Department of Electrical and Computer Engineering
-Technische Universit¨at M¨unchen, Germany
-{xian.wei, kleinsteuber,"
 60cdcf75e97e88638ec973f468598ae7f75c59b4,Face Annotation Using Transductive Kernel Fisher Discriminant,"Face Annotation Using Transductive
 Kernel Fisher Discriminant
 Jianke Zhu, Steven C.H. Hoi, and Michael R. Lyu"
+60040e4eae81ab6974ce12f1c789e0c05be00303,Graphical Facial Expression Analysis and Design Method: An Approach to Determine Humanoid Skin Deformation,"Yonas Tadesse1,2
+e-mail:
+Shashank Priya
+e-mail:
+Center for Energy Harvesting
+Materials and Systems (CEHMS),
+Bio-Inspired Materials and
+Devices Laboratory (BMDL),
+Center for Intelligent Material
+Systems and Structure (CIMSS),
+Department of Mechanical Engineering,
+Virginia Tech,
+Blacksburg, VA 24061
+Graphical Facial Expression
+Analysis and Design Method:
+An Approach to Determine
+Humanoid Skin Deformation
+The architecture of human face is complex consisting of 268 voluntary muscles that perform
+oordinated action to create real-time facial expression. In order to replicate facial expres-
+sion on humanoid face by utilizing discrete actuators, the ﬁrst and foremost step is the identi-"
 60b3601d70f5cdcfef9934b24bcb3cc4dde663e7,Binary Gradient Correlation Patterns for Robust Face Recognition,"SUBMITTED TO IEEE TRANS. ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 Binary Gradient Correlation Patterns
 for Robust Face Recognition
 Weilin Huang, Student Member, IEEE, and Hujun Yin, Senior Member, IEEE"
-60496b400e70acfbbf5f2f35b4a49de2a90701b5,Avoiding Boosting Overfitting by Removing Confusing Samples,"Avoiding Boosting Overfitting by Removing Confusing
-Samples
-Alexander Vezhnevets, Olga Barinova
-Moscow State University, dept. of Computational Mathematics and Cybernetics,
-Graphics and Media Lab
-{avezhnevets,
-19992 Moscow, Russia"
 60bffecd79193d05742e5ab8550a5f89accd8488,Proposal Classification using sparse representation and applications to skin lesion diagnosis,"PhD Thesis Proposal
 Classification using sparse representation and applications to skin
 lesion diagnosis
@@ -2637,11 +2663,6 @@ Computer Vision Lab, Sighthound Inc., Winter Park, FL"
 340d1a9852747b03061e5358a8d12055136599b0,Audio-Visual Recognition System Insusceptible to Illumination Variation over Internet Protocol _ICIE_28_,"Audio-Visual Recognition System Insusceptible
 to Illumination Variation over Internet Protocol
 Yee Wan Wong, Kah Phooi Seng, and Li-Minn Ang"
-34ccdec6c3f1edeeecae6a8f92e8bdb290ce40fd,A Virtual Assistant to Help Dysphagia Patients Eat Safely at Home,"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16)
-A Virtual Assistant to Help Dysphagia Patients Eat Safely at Home
-Michael Freed, Brian Burns, Aaron Heller, Daniel Sanchez, *Sharon Beaumont-Bowman
-SRI International, Menlo Park California / *Brooklyn College, Brooklyn New York
-{first name, last"
 5a3da29970d0c3c75ef4cb372b336fc8b10381d7,CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images.,"CNN-based Real-time Dense Face Reconstruction
 with Inverse-rendered Photo-realistic Face Images
 Yudong Guo, Juyong Zhang†, Jianfei Cai, Boyi Jiang and Jianmin Zheng"
@@ -2705,10 +2726,6 @@ Submitted: April 19 2017 / Revised: December 12 2017"
 Face Recognition
 Xiujuan Chai, Shiguang Shan, Member, IEEE, Xilin Chen, Member, IEEE, and Wen Gao, Senior Member, IEEE"
 5f344a4ef7edfd87c5c4bc531833774c3ed23542,Semisupervised Learning of Classifiers with Application to Human-computer Interaction,"
-5f758a29dae102511576c0a5c6beda264060a401,Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset,"Fine-grained Video Attractiveness Prediction Using Multimodal
-Deep Learning on a Large Real-world Dataset
-Xinpeng Chen†∗, Jingyuan Chen♭∗, Lin Ma‡♮, Jian Yao†, Wei Liu‡♮, Jiebo Luo§, Tong Zhang‡
-Wuhan University, ‡Tencent AI Lab, ♭National University of Singapore, §University of Rochester"
 5f5906168235613c81ad2129e2431a0e5ef2b6e4,A Unified Framework for Compositional Fitting of Active Appearance Models,"Noname manuscript No.
 (will be inserted by the editor)
 A Uniﬁed Framework for Compositional Fitting of
@@ -2744,12 +2761,6 @@ Matthias Sol`er1, Jean-Charles Bazin2, Oliver Wang2, Andreas Krause1 and
 Alexander Sorkine-Hornung2
 Computer Science Department, ETH Z¨urich, Switzerland
 Disney Research, Switzerland"
-3312eb79e025b885afe986be8189446ba356a507,MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes,"This is a post-print of the original paper published in ECCV 2016 (SpringerLink).
-MOON : A Mixed Objective Optimization
-Network for the Recognition of Facial Attributes
-Ethan M. Rudd, Manuel G¨unther, and Terrance E. Boult
-Vision and Security Technology (VAST) Lab,
-University of Colorado at Colorado Springs"
 33792bb27ef392973e951ca5a5a3be4a22a0d0c6,Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis,"Two-dimensional Whitening Reconstruction for
 Enhancing Robustness of Principal Component
 Analysis
@@ -2811,10 +2822,6 @@ Hemanth Singh1, Raman Patel2
 ,2 M.Tech Student, SSG Engineering College, Odisha, India
 ---------------------------------------------------------------------***---------------------------------------------------------------------
 examination structures need to analyse the facial exercises"
-33ef419dffef85443ec9fe89a93f928bafdc922e,SelfKin: Self Adjusted Deep Model For Kinship Verification,"SelfKin: Self Adjusted Deep Model For
-Kinship Veriﬁcation
-Eran Dahan, Yosi Keller
-Faculty of Engineering, Bar-Ilan University, Israel."
 05b8673d810fadf888c62b7e6c7185355ffa4121,A Comprehensive Survey to Face Hallucination,"(will be inserted by the editor)
 A Comprehensive Survey to Face Hallucination
 Nannan Wang · Dacheng Tao · Xinbo Gao · Xuelong Li · Jie Li
@@ -2964,6 +2971,15 @@ M Tech, ITM GOI
 video
 (Eigen
 passport-verification,"
+9d24179aa33a94c8c61f314203bf9e906d6b64de,Searching for People through Textual and Visual Attributes,"Searching for People through
+Textual and Visual Attributes
+Junior Fabian, Ramon Pires, Anderson Rocha
+Institute of Computing
+University of Campinas (Unicamp)
+Campinas-SP, Brazil
+Fig. 1. The proposed approach aims at searching for people using textual and visual attributes. Given an image database of faces, we extract the points of
+interest (PoIs) to construct a visual dictionary that allow us to obtain the feature vectors by a quantization process (top). Then we train attribute classiﬁers to
+generate a score for each image (middle). Finally, given a textual query (e.g., male), we fusion obtained scores to return a unique ﬁnal rank (bottom)."
 9c1305383ce2c108421e9f5e75f092eaa4a5aa3c,Speaker Retrieval for Tv Show Videos by Associating Audio Speaker Recognition Result to Visual Faces∗,"SPEAKER RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER
 RECOGNITION RESULT TO VISUAL FACES∗
 Yina Han*’, Joseph Razik’, Gerard Chollet’, and Guizhong Liu*
@@ -3132,6 +3148,16 @@ a44590528b18059b00d24ece4670668e86378a79,Learning the Hierarchical Parts of Obje
 Non-Smooth Nonnegative Matrix Factorization
 Jinshi Yu, Guoxu Zhou, Andrzej Cichocki
 IEEE Fellow, and Shengli Xie IEEE Senior Member"
+a472d59cff9d822f15f326a874e666be09b70cfd,Visual Learning with Weakly Labeled Video a Dissertation Submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"VISUAL LEARNING WITH WEAKLY LABELED VIDEO
+A DISSERTATION
+SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE
+AND THE COMMITTEE ON GRADUATE STUDIES
+OF STANFORD UNIVERSITY
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+DOCTOR OF PHILOSOPHY
+Kevin Tang
+May 2015"
 a4c430b7d849a8f23713dc283794d8c1782198b2,Video Concept Embedding,"Video Concept Embedding
 Anirudh Vemula
 Rahul Nallamothu
@@ -3310,6 +3336,20 @@ Anil Kumar Sao · B. Yegnanarayana ·
 B. V. K. Vijaya Kumar
 Received: 29 August 2006 / Revised: 28 March 2007 / Accepted: 28 March 2007 / Published online: 1 May 2007
 © Springer-Verlag London Limited 2007"
+b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57,Modeling Social and Temporal Context for Video Analysis,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Modeling Social and Temporal Context for Video Analysis
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Computer Science
+Zhen Qin
+June 2015
+Dissertation Committee:
+Dr. Christian R. Shelton, Chairperson
+Dr. Tao Jiang
+Dr. Stefano Lonardi
+Dr. Amit Roy-Chowdhury"
 b599f323ee17f12bf251aba928b19a09bfbb13bb,Autonomous Quadcopter Videographer,"AUTONOMOUS QUADCOPTER VIDEOGRAPHER
 REY R. COAGUILA
 B.S. Universidad Peruana de Ciencias Aplicadas, 2009
@@ -3325,25 +3365,6 @@ b5160e95192340c848370f5092602cad8a4050cd,Video Classification With CNNs: Using T
 Video Classiﬁcation With CNNs: Using The Codec
 As A Spatio-Temporal Activity Sensor
 Aaron Chadha, Alhabib Abbas and Yiannis Andreopoulos, Senior Member, IEEE"
-b52c0faba5e1dc578a3c32a7f5cfb6fb87be06ad,Robust Face Recognition Technique under Varying Illumination,"Journal of Applied Research and
-Technology
-ISSN: 1665-6423
-Centro de Ciencias Aplicadas y
-Desarrollo Tecnológico
-México
-Hussain Shah, Jamal; Sharif, Muhammad; Raza, Mudassar; Murtaza, Marryam; Ur-Rehman, Saeed
-Robust Face Recognition Technique under Varying Illumination
-Journal of Applied Research and Technology, vol. 13, núm. 1, febrero, 2015, pp. 97-105
-Centro de Ciencias Aplicadas y Desarrollo Tecnológico
-Distrito Federal, México
-Available in: http://www.redalyc.org/articulo.oa?id=47436895009
-How to cite
-Complete issue
-More information about this article
-Journal's homepage in redalyc.org
-Scientific Information System
-Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal
-Non-profit academic project, developed under the open access initiative"
 b52886610eda6265a2c1aaf04ce209c047432b6d,Microexpression Identification and Categorization Using a Facial Dynamics Map,"Microexpression Identiﬁcation and Categorization
 using a Facial Dynamics Map
 Feng Xu, Junping Zhang, James Z. Wang"
@@ -3360,6 +3381,12 @@ Qianli Liao1, Joel Z Leibo1, Youssef Mroueh1, Tomaso Poggio1"
 b54c477885d53a27039c81f028e710ca54c83f11,Semi-Supervised Kernel Mean Shift Clustering,"Semi-Supervised Kernel Mean Shift Clustering
 Saket Anand, Member, IEEE, Sushil Mittal, Member, IEEE, Oncel Tuzel, Member, IEEE,
 nd Peter Meer, Fellow, IEEE"
+b503f481120e69b62e076dcccf334ee50559451e,Recognition of Facial Action Units with Action Unit Classifiers and an Association Network,"Recognition of Facial Action Units with Action
+Unit Classiﬁers and An Association Network
+Junkai Chen1, Zenghai Chen1, Zheru Chi1 and Hong Fu1,2
+Department of Electronic and Information Engineering, The Hong Kong Polytechnic
+University, Hong Kong
+Department of Computer Science, Chu Hai College of Higher Education, Hong Kong"
 b55d0c9a022874fb78653a0004998a66f8242cad,Hybrid Facial Representations for Emotion Recognition Woo,"Hybrid Facial Representations
 for Emotion Recognition
 Woo-han Yun, DoHyung Kim, Chankyu Park, and Jaehong Kim
@@ -3380,6 +3407,26 @@ ased  descriptor.  The  block-based  descriptor  represents
 the  micro-orientation  and  micro-geometric  structure
 information. The pixel-based descriptor represents texture
 information.  We  validate  our  descriptors  on  two  public"
+b216040f110d2549f61e3f5a7261cab128cab361,Weighted Voting of Discriminative Regions for Face Recognition,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.11 NOVEMBER 2017
+LETTER
+Weighted Voting of Discriminative Regions for Face Recognition∗
+Wenming YANG†, Member, Riqiang GAO†a), and Qingmin LIAO†, Nonmembers
+SUMMARY
+This paper presents a strategy, Weighted Voting of Dis-
+riminative Regions (WVDR), to improve the face recognition perfor-
+mance, especially in Small Sample Size (SSS) and occlusion situations.
+In WVDR, we extract the discriminative regions according to facial key
+points and abandon the rest parts. Considering different regions of face
+make different contributions to recognition, we assign weights to regions
+for weighted voting. We construct a decision dictionary according to the
+recognition results of selected regions in the training phase, and this dic-
+tionary is used in a self-deﬁned loss function to obtain weights. The ﬁnal
+identity of test sample is the weighted voting of selected regions. In this
+paper, we combine the WVDR strategy with CRC and SRC separately, and
+extensive experiments show that our method outperforms the baseline and
+some representative algorithms.
+key words: discriminative regions, small sample size, occlusion, weighted
+strategy, face recognition"
 b261439b5cde39ec52d932a222450df085eb5a91,Facial Expression Recognition using Analytical Hierarchy Process,"International Journal of Computer Trends and Technology (IJCTT) – volume 24 Number 2 – June 2015
 Facial Expression Recognition using Analytical Hierarchy
 Process
@@ -3399,10 +3446,6 @@ Rongcheng Lin(cid:117) , Huayu Li(cid:117) , Xiaojun Quan† , Richang Hong(cid:
 (cid:63) Hefei University of Technology. Email:
 Institute for Infocomm Research. Email:
 ∓ Nanjing University of Finance and Economics. Email:"
-b29b42f7ab8d25d244bfc1413a8d608cbdc51855,Effective face landmark localization via single deep network,"EFFECTIVE FACE LANDMARK LOCALIZATION VIA SINGLE DEEP NETWORK
-Zongping Deng1,2, Ke Li1, Qijun Zhao1,2, Yi Zhang2 and Hu Chen1,2,3
-National Key Laboratory of Fundamental Science on Synthetic Vision
-School of Computer Science, Sichuan University, Chengdu, China, 610065"
 b2c25af8a8e191c000f6a55d5f85cf60794c2709,A novel dimensionality reduction technique based on kernel optimization through graph embedding,"Noname manuscript No.
 (will be inserted by the editor)
 A Novel Dimensionality Reduction Technique based on
@@ -3579,6 +3622,18 @@ tantes dans des pages Web ou la reconnaissance à partir d’attributs relatifs.
 ada73060c0813d957576be471756fa7190d1e72d,VRPBench: A Vehicle Routing Benchmark Tool,"VRPBench: A Vehicle Routing Benchmark Tool
 October 19, 2016
 Guilherme A. Zeni1 , Mauro Menzori1, P. S. Martins1, Luis A. A. Meira1"
+adfaf01773c8af859faa5a9f40fb3aa9770a8aa7,Large Scale Visual Recognition,"LARGE SCALE VISUAL RECOGNITION
+JIA DENG
+A DISSERTATION
+PRESENTED TO THE FACULTY
+OF PRINCETON UNIVERSITY
+IN CANDIDACY FOR THE DEGREE
+OF DOCTOR OF PHILOSOPHY
+RECOMMENDED FOR ACCEPTANCE
+BY THE DEPARTMENT OF
+COMPUTER SCIENCE
+ADVISER: FEI-FEI LI
+JUNE 2012"
 adf5caca605e07ee40a3b3408f7c7c92a09b0f70,Line-Based PCA and LDA Approaches for Face Recognition,"Line-based PCA and LDA approaches for Face Recognition
 Vo Dinh Minh Nhat, and Sungyoung Lee
 Kyung Hee University – South of Korea
@@ -3634,12 +3689,6 @@ Pontifıcia Universidade Catolica do Rio de Janeiro, Rio de Janeiro, Brazil, a
 Pulmonar, Programa de Engenharia Biome´dica, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
 Correspondence should be addressed to Isabel A. David, Departamento de Fisiologia e Farmacologia, Instituto Biome´dico, Universidade Federal
 Fluminense, Rua Hernani Pires de Mello, 101, Niteroi, RJ 24210-130, Brazil. E-mail:"
-bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,"Impact of Temporal Subsampling on Accuracy and
-Performance in Practical Video Classiﬁcation
-F. Scheidegger∗†, L. Cavigelli∗, M. Schaffner∗, A. C. I. Malossi†, C. Bekas†, L. Benini∗‡
-ETH Zürich, 8092 Zürich, Switzerland
-IBM Research - Zürich, 8803 Rüschlikon, Switzerland
-Università di Bologna, Italy"
 bb22104d2128e323051fb58a6fe1b3d24a9e9a46,Analyzing Facial Expression by Fusing Manifolds,")=OEC .=?E= -NFHAIIE >O .KIEC
 9A;= +D=C1,2 +DK5C +DA1,3 ;E2EC 0KC1,2,3
 1IJEJKJA B 1BH=JE 5?EA?A 5EE?= 6=EM=
@@ -3663,27 +3712,27 @@ A=EEC DK= AJEI F=OI = EFHJ=J HA E DK= ?KE?=JE 6"
 bb7f2c5d84797742f1d819ea34d1f4b4f8d7c197,From Images to 3D Shape Attributes.,"TO APPEAR IN TPAMI
 From Images to 3D Shape Attributes
 David F. Fouhey, Abhinav Gupta, Andrew Zisserman"
+bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on: Automatic Movie Character Annotation by Robust Face-Name Graph Matching,"International Journal of Computer Applications (0975 – 8887)
+Volume 104 – No.5, October 2014
+A Review on: Automatic Movie Character Annotation
+y Robust Face-Name Graph Matching
+Bhandare P.S.
+Research Scholar
+Sinhgad College of
+Engineering, korti, Pandharpur,
+Solapur University, INDIA
+Gadekar P.R.
+Assistant Professor
+Sinhgad College of
+Engineering, korti, Pandharpur,
+Solapur University, INDIA
+Bandgar Vishal V.
+Assistant Professor
+College of Engineering (Poly),
+Pandharpur, Solapur, INDIA
+Bhise Avdhut S.
+HOD, Department of"
 bbd1eb87c0686fddb838421050007e934b2d74ab,Look at Boundary: A Boundary-Aware Face Alignment Algorithm,"(68	points)	COFW	(29	points)	AFLW	(19	points)	Figure1:Theﬁrstcolumnshowsthefaceimagesfromdifferentdatasetswithdifferentnumberoflandmarks.Thesecondcolumnillustratestheuniversallydeﬁnedfacialboundariesestimatedbyourmethods.Withthehelpofboundaryinformation,ourapproachachieveshighaccuracylocalisationresultsacrossmultipledatasetsandannotationprotocols,asshowninthethirdcolumn.Differenttofacedetection[45]andrecognition[75],facealignmentidentiﬁesgeometrystructureofhumanfacewhichcanbeviewedasmodelinghighlystructuredout-put.Eachfaciallandmarkisstronglyassociatedwithawell-deﬁnedfacialboundary,e.g.,eyelidandnosebridge.However,comparedtoboundaries,faciallandmarksarenotsowell-deﬁned.Faciallandmarksotherthancornerscanhardlyremainthesamesemanticallocationswithlargeposevariationandocclusion.Besides,differentannotationschemesofexistingdatasetsleadtoadifferentnumberoflandmarks[28,5,66,30](19/29/68/194points)andanno-tationschemeoffuturefacealignmentdatasetscanhardlybedetermined.Webelievethereasoningofauniquefacial"
-d73d2c9a6cef79052f9236e825058d5d9cdc1321,Cutting the visual world into bigger slices for improved video concept detection. (Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel),"014-ENST-0040
-EDITE - ED 130
-Doctorat ParisTech
-T H È S E
-pour obtenir le grade de docteur délivré par
-TELECOM ParisTech
-Spécialité « Signal et Images »
-présentée et soutenue publiquement par
-Usman Farrokh NIAZ
-le 08 juillet 2014
-Cutting the Visual World into Bigger Slices for Improved Video
-Concept Detection
-Amélioration de la détection des concepts dans les vidéos par de plus grandes tranches du Monde
-Visuel
-Directeur de thèse : Bernard Mérialdo
-M. Philippe-Henri Gosselin, Professeur, INRIA
-M. Georges Quénot, Directeur de recherche CNRS, LIG
-M. Georges Linares, Professeur, LIA
-M. François Brémond, Professeur, INRIA
-M. Bernard Mérialdo, Professeur, EURECOM"
 d7fe2a52d0ad915b78330340a8111e0b5a66513a,Photo-to-Caricature Translation on Faces in the Wild,"Unpaired Photo-to-Caricature Translation on Faces in
 the Wild
 Ziqiang Zhenga, Chao Wanga, Zhibin Yua, Nan Wanga, Haiyong Zhenga,∗,
@@ -3767,26 +3816,6 @@ Seoul 100-715, Korea; (R.A.N.); (M.A.);
 (G.B.); (H.S.Y.)
 * Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735
 Received: 5 January 2018; Accepted: 1 February 2018; Published: 3 February 2018"
-d074b33afd95074d90360095b6ecd8bc4e5bb6a2,Human-Robot Collaboration: a Survey,"December 11, 2007
-2:8 WSPC/INSTRUCTION FILE
-auer-2007-ijhr
-International Journal of Humanoid Robotics
-(cid:13) World Scientiﬁc Publishing Company
-Human-Robot Collaboration: A Survey
-Andrea Bauer, Dirk Wollherr, Martin Buss
-Institute of Automatic Control Engineering (LSR)
-Technische Universit¨at M¨unchen
-80290 Munich
-Germany
-Received 01.05.2007
-Revised 29.09.2007
-Accepted Day Month Year
-As robots are gradually leaving highly structured factory environments and moving into
-human populated environments, they need to possess more complex cognitive abilities.
-They do not only have to operate ef‌f‌iciently and safely in natural, populated environ-
-ments, but also be able to achieve higher levels of cooperation and communication with
-humans. Human-robot collaboration (HRC) is a research ﬁeld with a wide range of ap-
-plications, future scenarios, and potentially a high economic impact. HRC is an interdis-"
 d0144d76b8b926d22411d388e7a26506519372eb,Improving Regression Performance with Distributional Losses,"Improving Regression Performance with Distributional Losses
 Ehsan Imani 1 Martha White 1"
 d0a21f94de312a0ff31657fd103d6b29db823caa,Facial Expression Analysis,"Facial Expression Analysis
@@ -3872,6 +3901,18 @@ Supasorn Suwajanakorn∗ Noah Snavely
 Jonathan Tompson Mohammad Norouzi
 {supasorn, snavely, tompson,
 Google AI"
+bed06e7ff0b510b4a1762283640b4233de4c18e0,Face Interpretation Problems on Low Quality Images,"Bachelor Project
+Czech
+Technical
+University
+in Prague
+Faculty of Electrical Engineering
+Department of Cybernetics
+Face Interpretation Problems on Low
+Quality Images
+Adéla Šubrtová
+Supervisor: Ing. Jan Čech, Ph.D
+May 2018"
 beab10d1bdb0c95b2f880a81a747f6dd17caa9c2,DeepDeblur: Fast one-step blurry face images restoration,"DeepDeblur: Fast one-step blurry face images restoration
 Lingxiao Wang, Yali Li, Shengjin Wang
 Tsinghua Unversity"
@@ -3936,6 +3977,12 @@ A novel approach for performance parameter estimation of face
 recognition based on clustering, shape and corner detection
 .Smt.Minj Salen Kujur , 2.Prof. Prashant Jain,
 Department of Electronics & Communication Engineering college Jabalpur"
+b3c398da38d529b907b0bac7ec586c81b851708f,Face recognition under varying lighting conditions using self quotient image,"Face Recognition under Varying Lighting Conditions Using Self Quotient
+Haitao Wang, 2Stan Z Li, 1Yangsheng Wang
+Image
+Institute of Automation, Chinese Academy of
+Sciences, Beijing, 100080, China,
+Email:"
 b32cf547a764a4efa475e9c99a72a5db36eeced6,Mimicry of ingroup and outgroup emotional expressions,"UvA-DARE (Digital Academic Repository)
 Mimicry of ingroup and outgroup emotional expressions
 Sachisthal, M.S.M.; Sauter, D.A.; Fischer, A.H.
@@ -4051,6 +4098,10 @@ dae420b776957e6b8cf5fbbacd7bc0ec226b3e2e,Recognizing Emotions in Spontaneous Fac
 Michael Grimm, Dhrubabrata Ghosh Dastidar, and Kristian Kroschel
 Institut f¨ur Nachrichtentechnik
 Universit¨at Karlsruhe (TH), Germany"
+daa02cf195818cbf651ef81941a233727f71591f,Face recognition system on Raspberry Pi,"Face recognition system on Raspberry Pi
+Olegs Nikisins, Rihards Fuksis, Arturs Kadikis, Modris Greitans
+Institute of Electronics and Computer Science,
+4 Dzerbenes Street, Riga, LV 1006, Latvia"
 daefac0610fdeff415c2a3f49b47968d84692e87,Multimodal Frame Identification with Multilingual Evaluation,"New Orleans, Louisiana, June 1 - 6, 2018. c(cid:13)2018 Association for Computational Linguistics
 Proceedings of NAACL-HLT 2018, pages 1481–1491"
 b49affdff167f5d170da18de3efa6fd6a50262a2,Linking Names and Faces : Seeing the Problem in Different Ways,"Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France
@@ -4161,6 +4212,24 @@ a5625cfe16d72bd00e987857d68eb4d8fc3ce4fb,VFSC: A Very Fast Sparse Clustering to
 from Videos
 Dinh-Luan Nguyen, Minh-Triet Tran
 University of Science, VNU-HCMC, Ho Chi Minh city, Vietnam"
+a546fd229f99d7fe3cf634234e04bae920a2ec33,Fast Fight Detection,"RESEARCH ARTICLE
+Fast Fight Detection
+Ismael Serrano Gracia1*, Oscar Deniz Suarez1*, Gloria Bueno Garcia1*, Tae-Kyun Kim2
+Department of Systems Engineering and Automation, E.T.S.I. Industriales, Ciudad Real, Castilla-La
+Mancha, Spain, 2 Department of Electrical and Electronic Engineering, Imperial College, London, UK
+* (ISG); (ODS); (GBG)"
+a5ae7fe2bb268adf0c1cd8e3377f478fca5e4529,Exemplar Hidden Markov Models for classification of facial expressions in videos,"Exemplar Hidden Markov Models for Classiﬁcation of Facial Expressions in
+Videos
+Univ. of California San Diego
+Univ. of Canberra, Australian
+Univ. of California San Diego
+Abhinav Dhall
+Marian Bartlett
+Karan Sikka
+California, USA
+National University
+Australia
+California, USA"
 a55efc4a6f273c5895b5e4c5009eabf8e5ed0d6a,"Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations","Continuous Head Movement Estimator for
 Driver Assistance: Issues, Algorithms,
 nd On-Road Evaluations
@@ -4269,6 +4338,22 @@ James A. Duncan y
 Julia Bryan z
 Kevin O’Connor z
 Anil K. Jain x"
+d122d66c51606a8157a461b9d7eb8b6af3d819b0,Automated Recognition of Facial Expressions,"Vol-3 Issue-4 2017
+IJARIIE-ISSN(O)-2395-4396
+AUTOMATED RECOGNITION OF FACIAL
+EXPRESSIONS
+Pavan S. Ahire, PG Student, Dept. of Computer Engineering, METs Institute of Engineering,
+Prof. R. P. Dahake, Dept. of Computer Engineering, METs Institute of  Engineering,
+Adgoan,Nashik,Maharashtra.
+Adgoan, Nashik, Maharashtra."
+d142e74c6a7457e77237cf2a3ded4e20f8894e1a,Human Emotion Estimation from Eeg and Face Using Statistical Features and Svm,"HUMAN EMOTION ESTIMATION FROM
+EEG AND FACE USING STATISTICAL
+FEATURES AND SVM
+Strahil Sokolov1, Yuliyan Velchev2, Svetla Radeva3 and Dimitar Radev4
+,3Department of Information Technologies,
+University of telecommunications and post, Sofia, Bulgaria
+2,4Department of Telecommunications,
+University of telecommunications and post, Sofia, Bulgaria"
 d1082eff91e8009bf2ce933ac87649c686205195,Pruning of Error Correcting Output Codes by optimization of accuracy–diversity trade off,"(will be inserted by the editor)
 Pruning of Error Correcting Output Codes by
 Optimization of Accuracy-Diversity Trade off
@@ -4320,6 +4405,26 @@ Computer Vision Center
 Autonomous University of Barcelona
 Barcelona, Spain
 Editor: Radeva Petia, Pujol Oriol"
+d65b82b862cf1dbba3dee6541358f69849004f30,2.5D Elastic graph matching,"Contents lists available at ScienceDirect
+j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / c v i u
+.5D Elastic graph matching
+Stefanos Zafeiriou
+, Maria Petrou
+Imperial College, Department of Electrical and Electronic Engineering, London, UK
+r t i c l e
+i n f o
+b s t r a c t
+Article history:
+Received 29 November 2009
+Accepted 1 December 2010
+Available online 17 March 2011
+Keywords:
+Elastic graph matching
+D face recognition
+Multiscale mathematical morphology
+Geodesic distances
+In this paper, we propose novel elastic graph matching (EGM) algorithms for face recognition assisted by
+the availability of 3D facial geometry. More speciﬁcally, we conceptually extend the EGM algorithm in"
 d6102a7ddb19a185019fd2112d2f29d9258f6dec,Fashion Style Generator,"Proceedings of the Twenty-Sixth International Joint Conference on Artiﬁcial Intelligence (IJCAI-17)
 GeneratorPatch……Global+…lstyle(2)lstyle(1)lcontent(1)lcontent(2)φθϕsϕcDiscriminatorDGXX(1)X(2)(a) Framework of the training stage(b) Examples of fashion style generationFigure1:Fashionstylegeneratorframeworkoverview.TheinputXconsistsofasetofclothingpatchesX(1)andfullclothingimagesX(2).Thesystemconsistsoftwocomponents:animagetransfor-mationnetworkGservedasfashionstylegenerator,andadiscrimi-natornetworkDcalculatesbothglobalandpatchbasedcontentandstylelosses.Gisaconvolutionalencoderdecodernetworkparam-eterizedbyweights(cid:18).Sixgeneratedshirtswithdifferentstylesbyourmethodareshownasexamples.(Wehighlyrecommendtozoominalltheﬁgureswithcolorversionformoredetails.)recentneuralstyletransferworks[Gatysetal.,2015].Tak-ingVanGogh’s“StarryNight”astheexamplestyleimage,styleisbetweenthelow-levelcolor/texture(e.g.,blueandyellowcolor,roughorsmoothertexture)andthehigh-levelobjects(e.g.,houseandmountain).“Style”isarelativelyab-stractconcept.Fashionstylegenerationhasatleasttwoprac-ticalusages.Designerscouldquicklyseehowtheclothinglookslikeinagivenstyletofacilitatethedesignprocessing.Shopperscouldsynthesizetheclothingimagewiththeidealstyleandapplyclothingretrievaltools[Jiangetal.,2016b]tosearchthesimilaritems.Fashionstylegenerationisrelatedtoexistingneuralstyletransferworks[Gatysetal.,2015;LiandWand,2016a;EfrosandFreeman,2001],buthasitsownchallenges.Infashionstylegeneration,thesyntheticclothingimageshould"
 d6bfa9026a563ca109d088bdb0252ccf33b76bc6,Unsupervised Temporal Segmentation of Facial Behaviour,"Unsupervised Temporal Segmentation of Facial Behaviour
@@ -4368,21 +4473,6 @@ we take a hand-crafted approach that can be fused later with
 CNN outputs.
 Introduction
 Action recognition has been well studied in the computer"
-bc9003ad368cb79d8a8ac2ad025718da5ea36bc4,Facial expression recognition with a three-dimensional face model,"Technische Universit¨at M¨unchen
-Bildverstehen und Intelligente Autonome Systeme
-Facial Expression Recognition With A
-Three-Dimensional Face Model
-Christoph Mayer
-Vollst¨andiger Abdruck der von der Fakult¨at f¨ur Informatik der Technischen Uni-
-versit¨at M¨unchen zur Erlangung des akademischen Grades eines
-Doktors der Naturwissenschaften
-genehmigten Dissertation.
-Vorsitzender:
-Univ.-Prof. Dr. Johann Schlichter
-Pr¨ufer der Dissertation: 1. Univ.-Prof. Dr. Bernd Radig (i.R.)
-. Univ.-Prof. Gudrun J. Klinker, Ph.D.
-Die Dissertation wurde am 04.07.2011 bei der Technischen Universit¨at M¨unchen
-eingereicht und durch die Fakult¨at f¨ur Informatik am 02.12.2011 angenommen."
 bcc172a1051be261afacdd5313619881cbe0f676,A fast face clustering method for indexing applications on mobile phones,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"
 bc811a66855aae130ca78cd0016fd820db1603ec,Towards three-dimensional face recognition in the real Huibin,"Towards three-dimensional face recognition in the real
@@ -4495,6 +4585,20 @@ Kota Yamaguchi, Member, IEEE, M. Hadi Kiapour, Student Member, IEEE,
 Luis E. Ortiz, and Tamara L. Berg, Member, IEEE"
 d861c658db2fd03558f44c265c328b53e492383a,Automated face extraction and normalization of 3D Mesh Data,"Automated Face Extraction and Normalization of 3D Mesh Data
 Jia Wu1, Raymond Tse2, Linda G. Shapiro1"
+d8f0bda19a345fac81a1d560d7db73f2b4868836,Online Activity Understanding and Labeling in Natural Videos,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Online Activity Understanding and Labeling in Natural Videos
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Computer Science
+Md Mahmudul Hasan
+August 2016
+Dissertation Committee:
+Dr. Amit K. Roy-Chowdhury, Chairperson
+Dr. Eamonn Keogh
+Dr. Evangelos Christidis
+Dr. Christian Shelton"
 d82b93f848d5442f82154a6011d26df8a9cd00e7,Neural Network Based Age Classification Using Linear Wavelet Transforms,"NEURAL NETWORK BASED AGE CLASSIFICATION USING
 LINEAR WAVELET TRANSFORMS
 NITHYASHRI JAYARAMAN1 & G.KULANTHAIVEL2
@@ -4529,6 +4633,19 @@ Visual Relationship Detection
 Yusuke Goutsu
 National Institute of Informatics
 Tokyo, Japan"
+d850aff9d10a01ad5f1d8a1b489fbb3998d0d80e,Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter,"UNIVERSITY OF CALIFORNIA,
+IRVINE
+Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter
+DISSERTATION
+submitted in partial satisfaction of the requirements
+for the degree of
+DOCTOR OF PHILOSOPHY
+in Computer Science
+Golnaz Ghiasi
+Dissertation Committee:
+Professor Charless Fowlkes, Chair
+Professor Deva Ramanan
+Professor Alexander Ihler"
 d89cfed36ce8ffdb2097c2ba2dac3e2b2501100d,Robust Face Recognition via Multimodal Deep Face Representation,"Robust Face Recognition via Multimodal Deep
 Face Representation
 Changxing Ding, Student Member, IEEE, Dacheng Tao, Fellow, IEEE"
@@ -4557,6 +4674,12 @@ opyright owners and it is a condition of accessing these publications that users
 with these rights.
 Take down policy
 The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to"
+ab0f9bc35b777eaefff735cb0dd0663f0c34ad31,Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration,"Semi-Supervised Learning of Geospatial Objects
+Through Multi-Modal Data Integration
+Yi Yang and Shawn Newsam
+Electrical Engineering and Computer Science
+University of California, Merced, CA, 95343
+Email:"
 ab989225a55a2ddcd3b60a99672e78e4373c0df1,"Sample, computation vs storage tradeoffs for classification using tensor subspace models","Sample, Computation vs Storage Tradeoffs for
 Classiﬁcation Using Tensor Subspace Models
 Mohammadhossein Chaghazardi and Shuchin Aeron, Senior Member, IEEE"
@@ -5076,6 +5199,26 @@ Keywords: pattern recognition, face recognition, neural networks, self-organizin
 Introduction
 libraries,
 In recent years, there has been intensive research carried"
+fde0180735699ea31f6c001c71eae507848b190f,Face Detection and Sex Identification from Color Images using AdaBoost with SVM based Component Classifier,"International Journal of Computer Applications (0975 – 8887)
+Volume 76– No.3, August 2013
+Face Detection and Sex Identification from Color Images
+using AdaBoost with SVM based Component Classifier
+Tonmoy Das
+Lecturer, Department of EEE
+University of Information
+Technology and Sciences
+(UITS)
+Dhaka, Bangladesh
+Manamatha Sarnaker
+B.Sc. in EEE
+International University of
+Business Agriculture and
+Technology (IUBAT)
+Dhaka-1230, Bangladesh
+Md. Hafizur Rahman
+Lecturer, Department of EEE
+International University of
+Business Agriculture and"
 fd615118fb290a8e3883e1f75390de8a6c68bfde,Joint Face Alignment with Non-parametric Shape Models,"Joint Face Alignment with Non-Parametric
 Shape Models
 Brandon M. Smith and Li Zhang
@@ -5107,6 +5250,24 @@ Yun He, Soma Shirakabe, Yutaka Satoh, Hirokatsu Kataoka
 National Institute of Advanced Industrial Science and Technology (AIST)
 Tsukuba, Ibaraki, Japan
 {yun.he, shirakabe-s, yu.satou,"
+f20e0eefd007bc310d2a753ba526d33a8aba812c,Accurate and robust face recognition from RGB-D images with a deep learning approach,"Lee et al.:  RGB-D FACE RECOGNITION WITH A DEEP LEARNING APPROACH
+Accurate and robust face recognition from
+RGB-D images with a deep learning
+pproach
+Yuancheng Lee
+http://cv.cs.nthu.edu.tw/php/people/profile.php?uid=150
+Jiancong Chen
+http://cv.cs.nthu.edu.tw/php/people/profile.php?uid=153
+Ching-Wei Tseng
+http://cv.cs.nthu.edu.tw/php/people/profile.php?uid=156
+Computer Vision Lab,
+Department of
+Computer Science,
+National Tsing Hua
+University,
+Hsinchu, Taiwan
+Shang-Hong Lai
+http://www.cs.nthu.edu.tw/~lai/"
 f231046d5f5d87e2ca5fae88f41e8d74964e8f4f,Perceived Age Estimation from Face Images,"We are IntechOpen,
 the first native scientific
 publisher of Open Access books
@@ -5129,10 +5290,6 @@ Contact
 Numbers displayed above are based on latest data collected."
 f5770dd225501ff3764f9023f19a76fad28127d4,Real Time Online Facial Expression Transfer with Single Video Camera,"Real Time Online Facial Expression Transfer
 with Single Video Camera"
-f519723238701849f1160d5a9cedebd31017da89,Impact of multi-focused images on recognition of soft biometric traits,"Impact of multi-focused images on recognition of soft biometric traits
-EURECOM, Campus SophiaTech, 450 Route des Chappes, CS 50193 - 06904 Biot Sophia
-V. Chiesaa, J.L. Dugelaya
-Antipolis cedex, FRANCE"
 f558af209dd4c48e4b2f551b01065a6435c3ef33,An Enhanced Attribute Reranking Design for Web Image Search,"International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE)
 ISSN: 0976-1353 Volume 23 Issue 1 –JUNE 2016.
 AN ENHANCED ATTRIBUTE
@@ -5167,14 +5324,15 @@ Manish Gupta, Govind sharma"
 e39a0834122e08ba28e7b411db896d0fdbbad9ba,Maximum Likelihood Estimation of Depth Maps Using Photometric Stereo,"Maximum Likelihood Estimation of Depth Maps
 Using Photometric Stereo
 Adam P. Harrison, Student Member, IEEE, and Dileepan Joseph, Member, IEEE"
-e3e2c106ccbd668fb9fca851498c662add257036,"Appearance, context and co-occurrence ensembles for identity recognition in personal photo collections","Appearance, Context and Co-occurrence Ensembles for
-Identity Recognition in Personal Photo Collections
-Archana Sapkota1
-Raghuraman Gopalan2
-University of Colorado at Colorado Springs
-Eric Zavesky2
-T.E.Boult1
-AT&T Labs-Research, Middletown, NJ"
+e30dc2abac4ecc48aa51863858f6f60c7afdf82a,Facial Signs and Psycho-physical Status Estimation for Well-being Assessment,"Facial Signs and Psycho-physical Status Estimation for Well-being
+Assessment
+F. Chiarugi, G. Iatraki, E. Christinaki, D. Manousos, G. Giannakakis, M. Pediaditis,
+A. Pampouchidou, K. Marias and M. Tsiknakis
+Computational Medicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas,
+{chiarugi, giatraki, echrist, mandim, ggian, mped, pampouch, kmarias,
+70013 Vasilika Vouton, Heraklion, Crete, Greece
+Keywords:
+Facial Expression, Stress, Anxiety, Feature Selection, Well-being Evaluation, FACS, FAPS, Classification."
 e3917d6935586b90baae18d938295e5b089b5c62,Face localization and authentication using color and depth images,"Face Localization and Authentication
 Using Color and Depth Images
 Filareti Tsalakanidou, Sotiris Malassiotis, and Michael G. Strintzis, Fellow, IEEE"
@@ -5190,6 +5348,14 @@ Ricardo Cabral, Fernando De la Torre, João P. Costeira, Alexandre Bernardino"
 cfd4004054399f3a5f536df71f9b9987f060f434,Person Recognition in Social Media Photos,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. ??, NO. ??, ?? 20??
 Person Recognition in Personal Photo Collections
 Seong Joon Oh,Rodrigo Benenson, Mario Fritz, and Bernt Schiele, Fellow, IEEE"
+cfd933f71f4a69625390819b7645598867900eab,Person Authentication Using Face And Palm Vein: A Survey Of Recognition And Fusion Techniques,"INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 03                       55
+ISSN 2347-4289
+Person Authentication Using Face And Palm Vein:
+A Survey Of Recognition And Fusion Techniques
+Preethi M, Dhanashree Vaidya, Dr. S. Kar, Dr. A. M. Sapkal, Dr. Madhuri A. Joshi
+Dept. of Electronics and Telecommunication, College of Engineering, Pune, India,
+Image Processing & Machine Vision Section, Electronics & Instrumentation Services Division, BARC
+Email:"
 cf875336d5a196ce0981e2e2ae9602580f3f6243,"7 What 1 S It Mean for a Computer to ""have"" Emotions?","7  What 1
 Rosalind W. Picard
 It Mean for a Computer to  ""Have""  Emotions?
@@ -5391,15 +5557,6 @@ Souza e Silva
 Rosa Maria Meri Le˜ao
 Rio de Janeiro
 Janeiro de 2016"
-e475deadd1e284428b5e6efd8fe0e6a5b83b9dcd,Are you eligible? Predicting adulthood from face images via class specific mean autoencoder,"Accepted in Pattern Recognition Letters
-Pattern Recognition Letters
-journal homepage: www.elsevier.com
-Are you eligible? Predicting adulthood from face images via class speciﬁc mean
-utoencoder
-Maneet Singh, Shruti Nagpal, Mayank Vatsa∗∗, Richa Singh
-IIIT-Delhi, New Delhi, 110020, India
-Article history:
-Received 15 March 2017"
 e4abc40f79f86dbc06f5af1df314c67681dedc51,Head Detection with Depth Images in the Wild,"Head Detection with Depth Images in the Wild
 Diego Ballotta, Guido Borghi, Roberto Vezzani and Rita Cucchiara
 Department of Engineering ”Enzo Ferrari”
@@ -5471,26 +5628,16 @@ fe9c460d5ca625402aa4d6dd308d15a40e1010fa,Neural Architecture for Temporal Emotio
 Classiﬁcation
 Roland Schweiger, Pierre Bayerl, and Heiko Neumann
 Universit¨at Ulm, Neuroinformatik, Germany"
-fe464b2b54154d231671750053861f5fd14454f5,Multi Joint Action in CoTeSys-Setup and Challenges-Technical report CoTeSys-TR-1001,"Multi Joint Action in CoTeSys
-- Setup and Challenges -
-Technical report CoTeSys-TR-10-01
-D. Brˇsˇci´c, F. Rohrm¨uller, O. Kourakos, S. Sosnowski, D. Althoff, M. Lawitzky,
-A. M¨ortl, M. Rambow, V. Koropouli, J.R. Medina Hern´andez, X. Zang,
-W. Wang, D. Wollherr, K. K¨uhnlenz, S. Hirche and M. Buss 1
-{drazen, rohrm, omirosk, sosnowski, dalthoff, lawitzky, moertl, rambow, vicky,
-medina, xueliang zang, wangwei, dirk, kuehnlen, hirche,
-M. Eggers, C. Mayer, T. Kruse, A. Kirsch, M. Beetz and B. Radig 2
-{eggers, mayerc, kruset, kirsch, beetz,
-J. Blume, A. Bannat, T. Rehrl and F. Wallhoff 3
-{blume, bannat, rehrl,
-T. Lorenz and A. Schub¨o 4
-{lorenz,
-P. Basili and S. Glasauer 5
-C. Lenz, T. R¨oder, G. Panin and A. Knoll 6
-W. Maier and E. Steinbach 7
-{werner.maier,
-Institute of Automatic Control
-Experimental Psychology Unit"
+fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,"IOSR Journal of VLSI and Signal Processing (IOSR-JVSP)
+Volume 6, Issue 2, Ver. I (Mar. -Apr. 2016), PP 47-53
+e-ISSN: 2319 – 4200, p-ISSN No. : 2319 – 4197
+www.iosrjournals.org
+Performance Evaluation of Gabor Wavelet Features for Face
+Representation and Recognition
+M. E. Ashalatha1, Mallikarjun S. Holi2
+Dept. of Biomedical Engineering, Bapuji Institute of Engineering & Technology Davanagere, Karnataka,India
+Dept. of Electronics and Instrumentation Engineering, University B.D.T.College of Engineering, Visvesvaraya
+Technological University,  Davanagere, Karnataka, India"
 fea83550a21f4b41057b031ac338170bacda8805,Learning a Metric Embedding for Face Recognition using the Multibatch Method,"Learning a Metric Embedding
 for Face Recognition
 using the Multibatch Method
@@ -5500,21 +5647,6 @@ Tal Rosenwein
 Shai Shalev-Shwartz
 Amnon Shashua
 Orcam Ltd., Jerusalem, Israel"
-feeb0fd0e254f38b38fe5c1022e84aa43d63f7cc,Search Pruning with Soft Biometric Systems: Efficiency-Reliability Tradeoff,"EURECOM
-Multimedia Communications Department
-Mobile Communications Department
-229, route des Crˆetes
-B.P. 193
-06904 Sophia-Antipolis
-FRANCE
-Research Report RR-11-255
-Search Pruning with Soft Biometric Systems:
-Efﬁciency-Reliability Tradeoff
-June 1st, 2011
-Last update June 1st, 2011
-Antitza Dantcheva, Arun Singh, Petros Elia and Jean-Luc Dugelay
-EURECOM’s research is partially supported by its industrial members: BMW Group, Cisco,
-Monaco Telecom, Orange, SAP, SFR, Sharp, STEricsson, Swisscom, Symantec, Thales."
 fe0c51fd41cb2d5afa1bc1900bbbadb38a0de139,Bayesian face recognition using 2D Gaussian-Hermite moments,"Rahman et al. EURASIP Journal on Image and Video Processing  (2015) 2015:35
 DOI 10.1186/s13640-015-0090-5
 RESEARCH
@@ -5725,6 +5857,16 @@ Usman Institute of Technology
 Karachi, Pakistan
 feature-based
 system.  The"
+c696c9bbe27434cb6279223a79b17535cd6e88c8,Facial Expression Recognition with Pyramid Gabor Features and Complete Kernel Fisher Linear Discriminant Analysis,"International Journal of Information Technology    Vol.11   No.9  2005
+Discriminant Analysis
+Facial Expression Recognition with Pyramid Gabor
+Features and Complete Kernel Fisher Linear
+Duan-Duan Yang1, Lian-Wen Jin1, Jun-Xun Yin1, Li-Xin Zhen2, Jian-Cheng Huang2
+School of Electronic and Information Engineering, South China
+University of Technology, Guangzhou, 510640, P.R.China
+{ddyang,
+Motorola China Research Center, Shanghai, 210000, P.R.China
+{Li-Xin.Zhen,"
 c614450c9b1d89d5fda23a54dbf6a27a4b821ac0,Face Image Retrieval of Efficient Sparse Code words and Multiple Attribute in Binning Image,"Vol.60: e17160480, January-December 2017
 http://dx.doi.org/10.1590/1678-4324-2017160480
 ISSN 1678-4324 Online Edition
@@ -5860,6 +6002,17 @@ method based on traditional approach. Compared with other expanding sample metho
 20e504782951e0c2979d9aec88c76334f7505393,Robust LSTM-Autoencoders for Face De-Occlusion in the Wild,"Robust LSTM-Autoencoders for Face De-Occlusion
 in the Wild
 Fang Zhao, Jiashi Feng, Jian Zhao, Wenhan Yang, Shuicheng Yan"
+209324c152fa8fab9f3553ccb62b693b5b10fb4d,Visual Genome Crowdsourced Visual Knowledge Representations a Thesis Submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Masters of Science,"CROWDSOURCED VISUAL KNOWLEDGE REPRESENTATIONS
+VISUAL GENOME
+A THESIS
+SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE
+AND THE COMMITTEE ON GRADUATE STUDIES
+OF STANFORD UNIVERSITY
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+MASTERS OF SCIENCE
+Ranjay Krishna
+March 2016"
 20ade100a320cc761c23971d2734388bfe79f7c5,Subspace Clustering via Good Neighbors,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 Subspace Clustering via Good Neighbors
 Jufeng Yang, Jie Liang, Kai Wang, Ming-Hsuan Yang"
@@ -6012,13 +6165,6 @@ L’archive ouverte pluridisciplinaire HAL, est
 destin´ee au d´epˆot et `a la diffusion de documents
 scientiﬁques de niveau recherche, publi´es ou non,
 ´emanant des ´etablissements d’enseignement et de"
-275b5091c50509cc8861e792e084ce07aa906549,Leveraging the User's Face as a Known Object in Handheld Augmented Reality,"Institut für Informatik
-der Technischen
-Universität München
-Dissertation
-Leveraging the User’s Face as a Known Object
-in Handheld Augmented Reality
-Sebastian Bernhard Knorr"
 276dbb667a66c23545534caa80be483222db7769,An Introduction to Image-based 3D Surface Reconstruction and a Survey of Photometric Stereo Methods,"D Res. 2, 03(2011)4
 0.1007/3DRes.03(2011)4
 DR REVIEW                                                            w
@@ -6207,13 +6353,6 @@ using Curvelet Transform
 Pratiksha Singh
 Surabhi Group of Institution Bhopal
 systems.  Further  applications"
-11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0,Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network,"Hybrid Cascade Model for Face Detection in the Wild
-Based on Normalized Pixel Difference and a Deep
-Convolutional Neural Network
-Darijan Marčetić[0000-0002-6556-665X], Martin Soldić[0000-0002-4031-0404]
-nd Slobodan Ribarić[0000-0002-8708-8513]
-University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia
-{darijan.marcetic, martin.soldic,"
 7d98dcd15e28bcc57c9c59b7401fa4a5fdaa632b,Face Appearance Factorization for Expression Analysis and Synthesis,"FACE APPEARANCE FACTORIZATION FOR EXPRESSION ANALYSIS AND SYNTHESIS
 Bouchra Abboud, Franck Davoine
 Heudiasyc Laboratory, CNRS, University of Technology of Compi`egne.
@@ -6298,6 +6437,13 @@ Dr. Harald Scharfenberg
 Professor at FHD
 Thesis Supervisor
 Accepted by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ."
+292c6b743ff50757b8230395c4a001f210283a34,Fast violence detection in video,"Fast Violence Detection in Video
+O. Deniz1, I. Serrano1, G. Bueno1 and T-K. Kim2
+VISILAB group, University of Castilla-La Mancha, E.T.S.I.Industriales, Avda. Camilo Jose Cela s.n, 13071 Spain
+Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London SW7 2AZ, UK.
+{oscar.deniz, ismael.serrano,
+Keywords:
+ction recognition, violence detection, ﬁght detection"
 294d1fa4e1315e1cf7cc50be2370d24cc6363a41,A modular non-negative matrix factorization for parts-based object recognition using subspace representation,"008 SPIE Digital Library -- Subscriber Archive Copy
 Processing: Machine Vision Applications, edited by Kurt S. Niel, David Fofi, Proc. of SPIE-IS&T Electronic Imaging, SPIE Vol. 6813, 68130C, © 2008 SPIE-IS&T · 0277-786X/08/$18SPIE-IS&T/ Vol. 6813  68130C-1"
 29d414bfde0dfb1478b2bdf67617597dd2d57fc6,Perfect histogram matching PCA for face recognition,"Multidim Syst Sign Process (2010) 21:213–229
@@ -6456,12 +6602,6 @@ Atlanta, GA 30322, USA
 Emory University
 Atlanta, GA 30322, USA"
 7c349932a3d083466da58ab1674129600b12b81c,Leveraging Multiple Features for Image Retrieval and Matching,
-1648cf24c042122af2f429641ba9599a2187d605,Boosting cross-age face verification via generative age normalization,"Boosting Cross-Age Face Veriﬁcation via Generative Age Normalization
-Grigory Antipov(cid:2)†
-Jean-Luc Dugelay†
-(cid:2) Orange Labs, 4 rue Clos Courtel, 35512 Cesson-S´evign´e, France
-Moez Baccouche(cid:2)
-Eurecom, 450 route des Chappes, 06410 Biot, France"
 162403e189d1b8463952fa4f18a291241275c354,Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences,"Action Recognition with Spatio-Temporal
 Visual Attention on Skeleton Image Sequences
 Zhengyuan Yang, Student Member, IEEE, Yuncheng Li, Jianchao Yang, Member, IEEE,
@@ -6500,23 +6640,6 @@ P. Universidad Catolica de Chile
 Santiago, Chile
 Santiago, Chile
 Santiago, Chile"
-16b9d258547f1eccdb32111c9f45e2e4bbee79af,NormFace: L2 Hypersphere Embedding for Face Verification,"006 Xiyuan Ave.
-Chengdu, Sichuan 611731
-Jian Cheng
-006 Xiyuan Ave.
-Chengdu, Sichuan 611731
-University of Electronic Science and Technology of China
-Xiang Xiang
-Johns Hopkins University
-400 N. Charles St.
-Baltimore, Maryland 21218
-Alan L. Yuille
-Johns Hopkins University
-400 N. Charles St.
-Baltimore, Maryland 21218
-NormFace: L2 Hypersphere Embedding for Face Verification
-University of Electronic Science and Technology of China
-Feng Wang∗"
 16c884be18016cc07aec0ef7e914622a1a9fb59d,Exploiting Multimodal Data for Image Understanding,"UNIVERSITÉ DE GRENOBLE
 No attribué par la bibliothèque
 THÈSE
@@ -6897,13 +7020,6 @@ Cupertino, CA 95014
 Shaoting Zhang
 UNC Charlotte
 Charlotte, NC 28223"
-1f745215cda3a9f00a65166bd744e4ec35644b02,Facial cosmetics database and impact analysis on automatic face recognition,"Facial Cosmetics Database and Impact Analysis on
-Automatic Face Recognition
-Marie-Lena Eckert #1, Neslihan Kose ∗2, Jean-Luc Dugelay ∗3
-# Computer Science Department, TU Muenchen
-Boltzmannstr. 3, 85748 Garching b. Muenchen, Germany
-Multimedia Communications Department, EURECOM
-50 Route des Chappes, 06410 Biot, France"
 1fff309330f85146134e49e0022ac61ac60506a9,Data-Driven Sparse Sensor Placement for Reconstruction,"Data-Driven Sparse Sensor Placement for Reconstruction
 Krithika Manohar∗, Bingni W. Brunton, J. Nathan Kutz, and Steven L. Brunton
 Corresponding author:"
@@ -6941,6 +7057,26 @@ Open Access
 Automatic landmark point detection and tracking
 for human facial expressions
 Yun Tie* and Ling Guan"
+7373c4a23684e2613f441f2236ed02e3f9942dd4,Feature extraction through Binary Pattern of Phase Congruency for facial expression recognition,"This document is downloaded from DR-NTU, Nanyang Technological
+University Library, Singapore.
+Title
+Feature extraction through binary pattern of phase
+ongruency for facial expression recognition
+Author(s)
+Shojaeilangari, Seyedehsamaneh; Yau, Wei-Yun; Li, Jun;
+Teoh, Eam Khwang
+Citation
+Shojaeilangari, S., Yau, W. Y., Li, J., & Teoh, E. K.
+(2012). Feature extraction through binary pattern of
+phase congruency for facial expression recognition. 12th
+International Conference on Control Automation Robotics
+& Vision (ICARCV), 166-170.
+http://hdl.handle.net/10220/18012
+Rights
+© 2012 IEEE. Personal use of this material is permitted.
+Permission from IEEE must be obtained for all other
+uses, in any current or future media, including
+reprinting/republishing this material for advertising or"
 732686d799d760ccca8ad47b49a8308b1ab381fb,Teachers’ differing classroom behaviors: The role of emotional sensitivity and cultural tolerance,"Running head: TEACHERS’ DIFFERING BEHAVIORS
 Graduate School of Psychology
 RESEARCH MASTER’S PSYCHOLOGY THESıS REPORT
@@ -7124,6 +7260,26 @@ Am Wolfsmantel 33, 91058 Erlangen, Germany
 without Representation Bias
 Yingwei Li, Yi Li, and Nuno Vasconcelos
 UC San Diego"
+74618fb4ce8ce0209db85cc6069fe64b1f268ff4,Rendering and animating expressive caricatures,"Rendering and Animating Expressive
+Caricatures
+Mohammad Obaid* t, Ramakrishnan
+Mukundan
+*HITLab New Zealand,
+University
+of Canterbury,
+t, and Mark Billinghurst*
+Christchurch,
+New Zealand
+tComputer
+Science
+nd Software Engineering
+Email: {mohammad.obaid,
+Dept., University
+of Canterbury,
+New Zealand
+stylized
+nd control
+on the generated caricature."
 74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,"International Journal of Bio-Science and Bio-Technology
 Vol. 5, No. 2, April, 2013
 Feature Extraction based on Local Directional Pattern with SVM
@@ -7169,12 +7325,6 @@ Zhifeng Li, Senior Member, IEEE, Dihong Gong, Xuelong Li, Fellow, IEEE, and Dach
 1a45ddaf43bcd49d261abb4a27977a952b5fff12,LDOP: Local Directional Order Pattern for Robust Face Retrieval,"LDOP: Local Directional Order Pattern for Robust
 Face Retrieval
 Shiv Ram Dubey, Member, IEEE, and Snehasis Mukherjee, Member, IEEE"
-1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study","Baseline Face Detection, Head Pose Estimation, and Coarse
-Direction Detection for Facial Data in the SHRP2 Naturalistic
-Driving Study
-J. Paone, D. Bolme, R. Ferrell, Member, IEEE, D. Aykac,  and
-T. Karnowski, Member, IEEE
-Oak Ridge National Laboratory, Oak Ridge, TN"
 1a849b694f2d68c3536ed849ed78c82e979d64d5,This is a repository copy of Symmetric Shape Morphing for 3 D Face and Head Modelling,"This is a repository copy of Symmetric Shape Morphing for 3D Face and Head Modelling.
 White Rose Research Online URL for this paper:
 http://eprints.whiterose.ac.uk/131760/
@@ -7401,23 +7551,11 @@ persona autora.
 WARNING.  On  having  consulted  this  thesis  you’re  accepting  the  following  use  conditions:
 Spreading  this  thesis  by  the  TDX  (www.tesisenxarxa.net)  service  has  been  authorized  by  the
 titular of the intellectual property rights only for private uses placed in investigation and teaching"
-176f26a6a8e04567ea71677b99e9818f8a8819d0,MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset,"MEG: Multi-Expert Gender classiﬁcation from
-face images in a demographics-balanced dataset
-Modesto Castrill´on-Santana1, Maria De Marsico2, Michele Nappi3, and
-Daniel Riccio4
-Universidad de Las Palmas de Gran Canaria, Spain. Email:
-Sapienza University of Rome, Italy. Email:
-University of Salerno, Fisciano (SA), Italy. Email:
-University of Naples Federico II, Italy, Email:"
 17cf838720f7892dbe567129dcf3f7a982e0b56e,Global-Local Face Upsampling Network,"Global-Local Face Upsampling Network
 Oncel Tuzel
 Yuichi Taguchi
 John R. Hershey
 Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA"
-17370f848801871deeed22af152489e39b6e1454,Undersampled face recognition with one-pass dictionary learning,"UNDERSAMPLED FACE RECOGNITION WITH ONE-PASS DICTIONARY LEARNING
-Chia-Po Wei and Yu-Chiang Frank Wang
-Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan
-{cpwei,"
 178a82e3a0541fa75c6a11350be5bded133a59fd,BioHDD: a dataset for studying biometric identification on heavily degraded data,"Techset Composition Ltd, Salisbury
 {IEE}BMT/Articles/Pagination/BMT20140045.3d
 www.ietdl.org
@@ -7646,34 +7784,6 @@ Detecting Visually Observable Disease
 Symptoms from Faces
 Kuan Wang* and Jiebo Luo
 Open Access"
-7ed3b79248d92b255450c7becd32b9e5c834a31e,L 1-regularized Logistic Regression Stacking and Transductive CRF Smoothing for Action Recognition in Video,"L1-regularized Logistic Regression Stacking and Transductive CRF Smoothing
-for Action Recognition in Video
-Svebor Karaman
-University of Florence
-Lorenzo Seidenari
-University of Florence
-Andrew D. Bagdanov
-University of Florence
-Alberto Del Bimbo
-University of Florence"
-7e8016bef2c180238f00eecc6a50eac473f3f138,Immersive Interactive Data Mining and Machine Learning Algorithms for Big Data Visualization,"TECHNISCHE UNIVERSIT ¨AT M ¨UNCHEN
-Lehrstuhl f¨ur Mensch-Maschine-Kommunikation
-Immersive Interactive Data Mining and Machine
-Learning Algorithms for Big Data Visualization
-Mohammadreza Babaee
-Vollst¨andiger Abdruck der von der Fakult¨at f¨ur Elektrotechnik und Informationstechnik
-der Technischen Universit¨at M¨unchen zur Erlangung des akademischen Grades eines
-Doktor-Ingenieurs (Dr.-Ing.)
-genehmigten Dissertation.
-Vorsitzender:
-Univ.-Prof. Dr. sc.techn. Andreas Herkersdorf
-Pr¨ufer der Dissertation:
-. Univ.-Prof. Dr.-Ing. habil. Gerhard Rigoll
-. Univ.-Prof. Dr.-Ing. habil. Dirk Wollherr
-. Prof. Dr. Mihai Datcu
-Die Dissertation wurde am 13.08.2015 bei der Technischen Universit¨at M¨unchen eingerei-
-ht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik am 16.02.2016
-ngenommen."
 7e3367b9b97f291835cfd0385f45c75ff84f4dc5,Improved local binary pattern based action unit detection using morphological and bilateral filters,"Improved Local Binary Pattern Based Action Unit Detection Using
 Morphological and Bilateral Filters
 Anıl Y¨uce1, Matteo Sorci2 and Jean-Philippe Thiran1
@@ -7763,11 +7873,6 @@ The a
 Prediction of Difﬁcult Endotracheal Intubation
 Gabriel L. Cuendet, Student Member, IEEE, Patrick Schoettker, Anıl Y¨uce Student Member, IEEE, Matteo Sorci,
 Hua Gao, Christophe Perruchoud, Jean-Philippe Thiran, Senior Member, IEEE"
-10e0e6f1ec00b20bc78a5453a00c792f1334b016,Temporal Selective Max Pooling Towards Practical Face Recognition,"Pose-Selective Max Pooling for Measuring Similarity
-Xiang Xiang1 and Trac D. Tran2
-Dept. of Computer Science
-Dept. of Electrical & Computer Engineering
-Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA"
 100641ed8a5472536dde53c1f50fa2dd2d4e9be9,Visual attributes for enhanced human-machine communication,"Visual Attributes for Enhanced Human-Machine Communication*
 Devi Parikh1"
 101569eeef2cecc576578bd6500f1c2dcc0274e2,Multiaccuracy: Black-Box Post-Processing for Fairness in Classification,"Multiaccuracy: Black-Box Post-Processing for Fairness in
@@ -7843,6 +7948,26 @@ ENHANCED SPARSE CODEWORDS
 E.Sakthivel1 , M.Ashok kumar2
 PG scholar, Communication Systems, Adhiyamaan College of Engineeing,Hosur,(India)
 Asst. Prof., Electronics And Communication Engg., Adhiyamaan College of Engg.,Hosur,(India)"
+190d8bd39c50b37b27b17ac1213e6dde105b21b8,Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation,"This document is downloaded from DR-NTU, Nanyang Technological
+University Library, Singapore.
+Title
+Mining weakly labeled web facial images for search-
+ased face annotation
+Author(s) Wang, Dayong; Hoi, Steven C. H.; He, Ying; Zhu, Jianke
+Citation
+Wang, D., Hoi, S. C. H., He, Y., & Zhu, J. (2014). Mining
+weakly labeled web facial images for search-based face
+nnotation. IEEE Transactions on Knowledge and Data
+Engineering, 26(1), 166-179.
+http://hdl.handle.net/10220/18955
+Rights
+© 2014 IEEE. Personal use of this material is permitted.
+Permission from IEEE must be obtained for all other
+uses, in any current or future media, including
+reprinting/republishing this material for advertising or
+promotional purposes, creating new collective works, for
+resale or redistribution to servers or lists, or reuse of any
+opyrighted component of this work in other works."
 19af008599fb17bbd9b12288c44f310881df951c,Discriminative Local Sparse Representations for Robust Face Recognition,"Discriminative Local Sparse Representations for
 Robust Face Recognition
 Yi Chen, Umamahesh Srinivas, Thong T. Do, Vishal Monga, and Trac D. Tran"
@@ -7854,6 +7979,30 @@ Supplementary Material"
 19666b9eefcbf764df7c1f5b6938031bcf777191,Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction,"Group Component Analysis for Multi-block Data:
 Common and Individual Feature Extraction
 Guoxu Zhou, Andrzej Cichocki Fellow, IEEE, Yu Zhang, and Danilo Mandic Fellow, IEEE"
+198b6beb53e0e61357825d57938719f614685f75,Vaulted Verification: A Scheme for Revocable Face Recognition,"Vaulted Veriﬁcation: A Scheme for Revocable Face
+Recognition
+Michael Wilber
+University of Colorado, Colorado Springs"
+195d331c958f2da3431f37a344559f9bce09c0f7,Parsing occluded people by flexible compositions,"Parsing Occluded People by Flexible Compositions
+Xianjie Chen, Alan Yuille
+University of California, Los Angeles.
+Figure 1: An illustration of the flexible compositions. Each connected sub-
+tree of the full graph (include the full graph itself) is a flexible composition.
+The flexible compositions that do not have certain parts are suitable for the
+people with those parts occluded.
+Figure 2: The absence of body parts evidence can help to predict occlusion.
+However, absence of evidence is not evidence of absence.
+It can fail in
+some challenging scenes. The local image measurements near the occlusion
+oundary (i.e., around the right elbow and left shoulder) can reliably provide
+evidence of occlusion.
+This paper presents an approach to parsing humans when there is signiﬁ-
+ant occlusion. We model humans using a graphical model which has a tree
+structure building on recent work [1, 6] and exploit the connectivity prior
+that, even in presence of occlusion, the visible nodes form a connected sub-
+tree of the graphical model. We call each connected subtree a flexible com-
+position of object parts. This involves a novel method for learning occlusion
+ues. During inference we need to search over a mixture of different flexible"
 19c0c7835dba1a319b59359adaa738f0410263e8,Natural Image Statistics and Low-Complexity Feature Selection,"Natural Image Statistics and
 Low-Complexity Feature Selection
 Manuela Vasconcelos and Nuno Vasconcelos, Senior Member, IEEE"
@@ -7881,6 +8030,23 @@ Department of Applied Mathematics, Universidad Polit´ecnica de Madrid"
 19d4855f064f0d53cb851e9342025bd8503922e2,Learning SURF Cascade for Fast and Accurate Object Detection,"Learning SURF Cascade for Fast and Accurate Object Detection
 Jianguo Li, Yimin Zhang
 Intel Labs China"
+193ec7bb21321fcf43bbe42233aed06dbdecbc5c,Automatic 3D Facial Expression Analysis in Videos,"UC Santa Barbara
+UC Santa Barbara Previously Published Works
+Title
+Automatic 3D facial expression analysis in videos
+Permalink
+https://escholarship.org/uc/item/3g44f7k8
+Authors
+Chang, Y
+Vieira, M
+Turk, M
+et al.
+Publication Date
+005-01-01
+Peer reviewed
+eScholarship.org
+Powered by the California Digital Library
+University of California"
 4c6e1840451e1f86af3ef1cb551259cb259493ba,Hand Posture Dataset Creation for Gesture Recognition,"HAND POSTURE DATASET CREATION FOR GESTURE
 RECOGNITION
 Instituto de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria
@@ -7898,11 +8064,6 @@ Sina Honari1∗, Pavlo Molchanov2, Stephen Tyree2, Pascal Vincent1,4,5, Christop
 MILA-University of Montreal, 2NVIDIA, 3Ecole Polytechnique of Montreal, 4CIFAR, 5Facebook AI Research.
 {honaris,
 {pmolchanov, styree,"
-4c4236b62302957052f1bbfbd34dbf71ac1650ec,Semi-supervised face recognition with LDA self-training,"SEMI-SUPERVISED FACE RECOGNITION WITH LDA SELF-TRAINING
-Xuran Zhao, Nicholas Evans and Jean-Luc Dugelay
-Multimedia Communications Department, EURECOM
-229 Route des Crêtes , BP 193, F-06560 Sophia-Antipolis Cedex, France
-{zhaox, evans,"
 4c81c76f799c48c33bb63b9369d013f51eaf5ada,Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs,"Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job
 Candidate Screening from Video CVs
 Heysem Kaya1, Furkan G¨urpınar2, and Albert Ali Salah2
@@ -8017,26 +8178,6 @@ Received: 2 February 2016 / Revised: 20 October 2016 / Accepted: 10 August 2017
 Annotation: An Instance-Weighted Mixture
 Modeling Approach
 Neela Sawant, Student Member, IEEE, James Z. Wang, Senior Member, IEEE, Jia Li, Senior Member, IEEE."
-21a2f67b21905ff6e0afa762937427e92dc5aa0b,Extra Facial Landmark Localization via Global Shape Reconstruction,"Hindawi
-Computational Intelligence and Neuroscience
-Volume 2017, Article ID 8710492, 13 pages
-https://doi.org/10.1155/2017/8710492
-Research Article
-Extra Facial Landmark Localization via
-Global Shape Reconstruction
-Shuqiu Tan, Dongyi Chen, Chenggang Guo, and Zhiqi Huang
-School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave,
-West Hi-Tech Zone, Chengdu 611731, China
-Correspondence should be addressed to Dongyi Chen;
-Received 4 January 2017; Revised 26 March 2017; Accepted 4 April 2017; Published 23 April 2017
-Academic Editor: Elio Masciari
-Copyright © 2017 Shuqiu Tan et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-Localizing facial landmarks is a popular topic in the field of face analysis. However, problems arose in practical applications such
-s handling pose variations and partial occlusions while maintaining moderate training model size and computational efficiency
-still challenges current solutions. In this paper, we present a global shape reconstruction method for locating extra facial landmarks
-omparing to facial landmarks used in the training phase. In the proposed method, the reduced configuration of facial landmarks
-is first decomposed into corresponding sparse coefficients. Then explicit face shape correlations are exploited to regress between"
 2162654cb02bcd10794ae7e7d610c011ce0fb51b,Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding,"978-1-4799-5751-4/14/$31.00 ©2014 IEEE
 http://www.skype.com/
 http://www.google.com/hangouts/
@@ -8052,15 +8193,6 @@ CBCL Memo 197
 May 31, 2001
 © 2 0 0 1   m a s s a c h u s e t t s   i n s t i t u t e   o f
 t e c h n o l o g y, c a m b r i d g e , m a   0 2 1 3 9   u s a   —   w w w. a i . m i t . e d u"
-21bd9374c211749104232db33f0f71eab4df35d5,Integrating facial makeup detection into multimodal biometric user verification system,"Integrating Facial Makeup Detection Into
-Multimodal Biometric User Veriﬁcation System
-Ekberjan Derman*
-CuteSafe Technology Inc.
-Gebze, Kocaeli, Turkey
-Chiara Galdi, Jean-Luc Dugelay
-Eurecom Digital Security Department
-06410 Biot, France
-{chiara.galdi,"
 214db8a5872f7be48cdb8876e0233efecdcb6061,Semantic-Aware Co-Indexing for Image Retrieval,"Semantic-aware Co-indexing for Image Retrieval
 Shiliang Zhang2, Ming Yang1, Xiaoyu Wang1, Yuanqing Lin1, Qi Tian2
 NEC Laboratories America, Inc.
@@ -8082,6 +8214,15 @@ Received: 4 February 2013 / Accepted: 29 October 2013
 © Springer Science+Business Media New York 2013"
 21626caa46cbf2ae9e43dbc0c8e789b3dbb420f1,Transductive VIS-NIR face matching,"978-1-4673-2533-2/12/$26.00 ©2012 IEEE
 ICIP 2012"
+21b16df93f0fab4864816f35ccb3207778a51952,Recognition of Static Gestures Applied to Brazilian Sign Language (Libras),"Recognition of Static Gestures applied to Brazilian Sign Language (Libras)
+Igor L. O. Bastos
+Math Institute
+Michele F. Angelo, Angelo C. Loula
+Department of Technology, Department of Exact Sciences
+Federal University of Bahia (UFBA),
+State University of Feira de Santana (UEFS)
+Salvador, Brazil
+Feira de Santana, Brazil"
 4d49c6cff198cccb21f4fa35fd75cbe99cfcbf27,Topological principal component analysis for face encoding and recognition,"Topological Principal Component Analysis for
 face encoding and recognition
 Albert Pujol , Jordi Vitri(cid:18)a, Felipe Lumbreras,
@@ -8102,12 +8243,12 @@ Are 1,000 Features Worth A Picture?
 Vikram Mohanty, David Thames, Kurt Luther
 Department of Computer Science and Center for Human-Computer Interaction
 Virginia Tech, Arlington, VA, USA"
-4dd71a097e6b3cd379d8c802460667ee0cbc8463,Real-time multi-view facial landmark detector learned by the structured output SVM,"Real-time Multi-view Facial Landmark Detector
-Learned by the Structured Output SVM
-Michal Uˇriˇc´aˇr1, Vojtˇech Franc1, Diego Thomas2, Akihiro Sugimoto2, and V´aclav Hlav´aˇc1
-Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech
-Technical University in Prague, 166 27 Prague 6, Technick´a 2 Czech Republic
-National Institute of Informatics, Tokyo, Japan"
+4de757faa69c1632066391158648f8611889d862,Review of Face Recognition Technology Using Feature Fusion Vector,"International Journal of Advanced Engineering Research and Science (IJAERS)                             Vol-3, Issue-3 , March- 2016]
+ISSN: 2349-6495
+Review of Face Recognition Technology Using
+Feature Fusion Vector
+Shrutika Shukla, Prof. Anuj Bhargav, Prof. Prashant Badal
+Department of Electronics and Communication, S.R.C.E.M, Banmore, RGPV, University, Bhopal, Madhya Pradesh, India"
 4d7e1eb5d1afecb4e238ba05d4f7f487dff96c11,Largest center-specific margin for dimension reduction,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE
 ICASSP 2017"
 4d6ad0c7b3cf74adb0507dc886993e603c863e8c,Human Activity Recognition Based on Wearable Sensor Data : A Standardization of the State-ofthe-Art,"Human Activity Recognition Based on Wearable
@@ -8219,6 +8360,20 @@ Caltech
 Google
 Cornell Tech
 iNaturalist"
+81706277ed180a92d2eeb94ac0560f7dc591ee13,Emotion based Contextual Semantic Relevance Feedback in Multimedia Information Retrieval,"International Journal of Computer Applications (0975 – 8887)
+Volume 55– No.15, October 2012
+Emotion based Contextual Semantic Relevance
+Feedback in Multimedia Information Retrieval
+Karm Veer Singh
+Department of Computer Engineering, Indian
+Institute of Technology, Banaras Hindu
+University,Varanasi, 221005, India
+Anil K. Tripathi
+Department of Computer Engineering, Indian
+Institute of Technology, Banaras Hindu
+University,Varanasi, 221005, India
+find  some
+issued  by  a  user"
 81b2a541d6c42679e946a5281b4b9dc603bc171c,Semi-supervised learning with committees: exploiting unlabeled data using ensemble learning algorithms,"Universit¨at Ulm | 89069 Ulm | Deutschland
 Fakult¨at f¨ur Ingenieurwissenschaften und Informatik
 Institut f¨ur Neuroinformatik
@@ -8278,12 +8433,6 @@ Bangalore
 Rahul Thota
 Bangalore
 rahul.thota,"
-81da427270c100241c07143885ba3051ec4a2ecb,Learning the Synthesizability of Dynamic Texture Samples,"Learning the Synthesizability of Dynamic Texture Samples∗
-Feng Yang1, Gui-Song Xia1, Dengxin Dai2, Liangpei Zhang1
-State Key Lab. LIESMARS, Wuhan University, China
-{guisong.xia, fengyang,
-Computer Vision Lab., ETH Zurich, Switzerland
-February 6, 2018"
 86614c2d2f6ebcb9c600d4aef85fd6bf6eab6663,Benchmarks for Cloud Robotics,"Benchmarks for Cloud Robotics
 Arjun Singh
 Electrical Engineering and Computer Sciences
@@ -8305,6 +8454,11 @@ AND  SPARSE REPRESENTATION
 Murala Sandeep1 A.Mallikarjuna Reddy2 P.Rajashaker Reddy3 Dr. G. Vishnu murthy4
 (M.Tech)1, Assistant Professor2, Assistant Professor3, HOD of CSE Department4
 Anurag group of institutions Ghatkesar, Ranga Reddy, Hyderabad, India"
+869a2fbe42d3fdf40ed8b768edbf54137be7ac71,Relative Attributes for Enhanced Human-Machine Communication,"Relative Attributes for Enhanced Human-Machine Communication
+Devi Parikh1, Adriana Kovashka3, Amar Parkash2, and Kristen Grauman3
+Toyota Technological Institute, Chicago
+Indraprastha Institute of Information Technology, Delhi
+University of Texas, Austin"
 86c053c162c08bc3fe093cc10398b9e64367a100,Cascade of forests for face alignment,"Cascade of Forests for Face Alignment
 Heng Yang, Changqing Zou, Ioannis Patras"
 861802ac19653a7831b314cd751fd8e89494ab12,"Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications","Marcin Grzegorzek, Christian Theobalt, Reinhard Koch,
@@ -8353,6 +8507,26 @@ Trevor Back
 Paul Natsev
 Mustafa Suleyman
 Andrew Zisserman"
+86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,"(IJACSA) International Journal of Advanced Computer Science and Applications,
+Vol. 7, No. 3, 2016
+Competitive Representation Based Classification
+Using Facial Noise Detection
+Tao Liu
+Ying Liu
+Chongqing Key Laboratory of Computational Intelligence
+College of Computer Science and Technology, Chongqing
+Chongqing Key Laboratory of Computational Intelligence
+College of Computer Science and Technology, Chongqing
+University of Posts and Telecommunications
+University of Posts and Telecommunications
+Chongqing, China
+Chongqing, China
+Cong Li
+Chao Li
+Chongqing Key Laboratory of Computational Intelligence
+College of Computer Science and Technology, Chongqing
+Chongqing Key Laboratory of Computational Intelligence
+College of Computer Science and Technology, Chongqing"
 86b105c3619a433b6f9632adcf9b253ff98aee87,A Mutual Information based Face Clustering Algorithm for Movies,"424403677/06/$20.00 ©2006 IEEE
 ICME 2006"
 72a87f509817b3369f2accd7024b2e4b30a1f588,Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints,"Fault diagnosis of a railway device using semi-supervised
@@ -8382,6 +8556,16 @@ identiﬁcation
 Sinjini Mitra · Nicole A. Lazar · Yanxi Liu
 Received: May 2005 / Accepted: September 2006 / Published online: 30 January 2007
 C(cid:1) Springer Science + Business Media, LLC 2007"
+727ecf8c839c9b5f7b6c7afffe219e8b270e7e15,Leveraging Geo-referenced Digital Photographs a Dissertation Submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"LEVERAGING GEO-REFERENCED DIGITAL PHOTOGRAPHS
+A DISSERTATION
+SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE
+AND THE COMMITTEE ON GRADUATE STUDIES
+OF STANFORD UNIVERSITY
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+DOCTOR OF PHILOSOPHY
+Mor Naaman
+July 2005"
 72ecaff8b57023f9fbf8b5b2588f3c7019010ca7,Facial Keypoints Detection,"Facial Keypoints Detection
 Shenghao Shi"
 72591a75469321074b072daff80477d8911c3af3,Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction,"Group Component Analysis for Multi-block Data:
@@ -8580,6 +8764,11 @@ Received: 20 May 2018; Accepted: 25 June 2018; Published: 28 June 2018"
 y One-per-Class Compensated Reconstruction Rule
 Roberto D’Ambrosio and Paolo Soda
 Integrated Research Centre, Universit´a Campus Bio-Medico of Rome, Rome, Italy"
+2f13dd8c82f8efb25057de1517746373e05b04c4,Evaluation of state-of-the-art algorithms for remote face recognition,"EVALUATION OF STATE-OF-THE-ART ALGORITHMS FOR REMOTE FACE
+RECOGNITION
+Jie Ni and Rama Chellappa
+Department of Electrical and Computer Engineering and Center for Automation Research, University
+of Maryland, College Park, MD 20742, USA"
 2fa1fc116731b2b5bb97f06d2ac494cb2b2fe475,A novel approach to personal photo album representation and management,"A novel approach to personal photo album representation
 nd management
 Edoardo Ardizzone, Marco La Cascia, and Filippo Vella
@@ -8634,13 +8823,6 @@ Technische Universität München
 D-85748 Garching, Germany"
 439ec47725ae4a3660e509d32828599a495559bf,Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation and Evaluation,"Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation
 nd Evaluation"
-43a03cbe8b704f31046a5aba05153eb3d6de4142,Towards Robust Face Recognition from Video,"Towards Robust Face Recognition from Video
-Jeffery R. Price
-Timothy F. Gee
-Image Science and Machine Vision Group
-Oak Ridge National Laboratory
-Oak Ridge, TN 37831-6010
-{pricejr,"
 434bf475addfb580707208618f99c8be0c55cf95,DeXpression: Deep Convolutional Neural Network for Expression Recognition,"UNDER CONSIDERATION FOR PUBLICATION IN PATTERN RECOGNITION LETTERS
 DeXpression: Deep Convolutional Neural
 Network for Expression Recognition
@@ -8740,12 +8922,6 @@ VisionLabs, Amsterdam, The Netherlands
 {n.chinaev,
 Inria, WILLOW, Departement d’Informatique de l’Ecole Normale Superieure, PSL
 Research University, ENS/INRIA/CNRS UMR 8548, Paris, France"
-8812aef6bdac056b00525f0642702ecf8d57790b,A Unified Features Approach to Human Face Image Analysis and Interpretation,"A Uniﬁed Features Approach to Human Face Image
-Analysis and Interpretation
-Zahid Riaz, Suat Gedikli, Micheal Beetz and Bernd Radig
-Department of Informatics,
-Technische Universit¨at M¨unchen
-85748 Garching, Germany"
 881066ec43bcf7476479a4146568414e419da804,From Traditional to Modern: Domain Adaptation for Action Classification in Short Social Video Clips,"From Traditional to Modern : Domain Adaptation for
 Action Classiﬁcation in Short Social Video Clips
 Aditya Singh, Saurabh Saini, Rajvi Shah, and P J Narayanan
@@ -8753,26 +8929,6 @@ Center for Visual Information Technology, IIIT Hyderabad, India"
 8813368c6c14552539137aba2b6f8c55f561b75f,Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition,"Trunk-Branch Ensemble Convolutional Neural
 Networks for Video-based Face Recognition
 Changxing Ding, Student Member, IEEE, Dacheng Tao, Fellow, IEEE"
-88e2574af83db7281c2064e5194c7d5dfa649846,A Robust Shape Reconstruction Method for Facial Feature Point Detection,"Hindawi Publishing Corporation
-Computational Intelligence and Neuroscience
-Volume 2017, Article ID 4579398, 11 pages
-http://dx.doi.org/10.1155/2017/4579398
-Research Article
-A Robust Shape Reconstruction Method for Facial Feature
-Point Detection
-Shuqiu Tan, Dongyi Chen, Chenggang Guo, and Zhiqi Huang
-School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave,
-West Hi-Tech Zone, Chengdu 611731, China
-Correspondence should be addressed to Shuqiu Tan; and Dongyi Chen;
-Received 24 October 2016; Revised 18 January 2017; Accepted 30 January 2017; Published 19 February 2017
-Academic Editor: Ezequiel L´opez-Rubio
-Copyright © 2017 Shuqiu Tan et al. This is an open access article distributed under the Creative Commons Attribution License,
-which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
-Facial feature point detection has been receiving great research advances in recent years. Numerous methods have been developed
-nd applied in practical face analysis systems. However, it is still a quite challenging task because of the large variability in expression
-nd gestures and the existence of occlusions in real-world photo shoot. In this paper, we present a robust sparse reconstruction
-method for the face alignment problems. Instead of a direct regression between the feature space and the shape space, the concept
-of shape increment reconstruction is introduced. Moreover, a set of coupled overcomplete dictionaries termed the shape increment"
 883006c0f76cf348a5f8339bfcb649a3e46e2690,Weakly supervised pain localization using multiple instance learning,"Weakly Supervised Pain Localization using Multiple Instance Learning
 Karan Sikka, Abhinav Dhall and Marian Bartlett"
 88850b73449973a34fefe491f8836293fc208580,XBeats-An Emotion Based Music Player,"www.ijaret.org                                                                                                                                                     Vol. 2, Issue I, Jan. 2014
@@ -8797,13 +8953,6 @@ Vile Parle (W), Mumbai-400056."
 88f2952535df5859c8f60026f08b71976f8e19ec,A neural network framework for face recognition by elastic bunch graph matching,"A neural network framework for face
 recognition by elastic bunch graph matching
 Francisco A. Pujol López, Higinio Mora Mora*, José A. Girona Selva"
-8818b12aa0ff3bf0b20f9caa250395cbea0e8769,Fashion Conversation Data on Instagram_ICWSM 2017,"Fashion Conversation Data on Instagram
-Yu-I Ha∗
-Sejeong Kwon∗
-Meeyoung Cha∗
-Jungseock Joo†
-Graduate School of Culture Technology, KAIST, South Korea
-Department of Communication Studies, UCLA, USA"
 887b7676a4efde616d13f38fcbfe322a791d1413,Deep Temporal Appearance-Geometry Network for Facial Expression Recognition,"Deep Temporal Appearance-Geometry Network
 for Facial Expression Recognition
 Injae Lee‡ Chunghyun Ahn‡
@@ -8875,18 +9024,36 @@ Hua Gao, Hazım Kemal Ekenel, and Rainer Stiefelhagen
 Computer Science Department, Universit¨at Karlsruhe (TH)
 Am Fasanengarten 5, Karlsruhe 76131, Germany
 http://isl.ira.uka.de/cvhci"
+6b6ff9d55e1df06f8b3e6f257e23557a73b2df96,Survey of Threats to the Biometric Authentication Systems and Solutions,"International Journal of Computer Applications (0975 – 8887)
+Volume 61– No.17, January 2013
+Survey of Threats to the Biometric Authentication
+Systems and Solutions
+Sarika Khandelwal
+Research Scholor,Mewar
+University,Chitorgarh. (INDIA)
+P.C.Gupta
+Kota University,Kota(INDIA)
+Khushboo Mantri
+M.tech.student, Arya College of
+engineering ,Jaipur(INDIA)"
 0728f788107122d76dfafa4fb0c45c20dcf523ca,The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition,"The Best of Both Worlds: Combining Data-independent and Data-driven
 Approaches for Action Recognition
 Zhenzhong Lan, Dezhong Yao, Ming Lin, Shoou-I Yu, Alexander Hauptmann
 {lanzhzh, minglin, iyu,"
+07ea3dd22d1ecc013b6649c9846d67f2bf697008,Human-centric Video Understanding with Weak Supervision a Dissertation Submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"HUMAN-CENTRIC VIDEO UNDERSTANDING WITH WEAK
+SUPERVISION
+A DISSERTATION
+SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE
+AND THE COMMITTEE ON GRADUATE STUDIES
+OF STANFORD UNIVERSITY
+IN PARTIAL FULFILLMENT OF THE REQUIREMENTS
+FOR THE DEGREE OF
+DOCTOR OF PHILOSOPHY
+Vignesh Ramanathan
+June 2016"
 071099a4c3eed464388c8d1bff7b0538c7322422,Facial expression recognition in the wild using rich deep features,"FACIAL EXPRESSION RECOGNITION IN THE WILD USING RICH DEEP FEATURES
 Abubakrelsedik Karali, Ahmad Bassiouny and Motaz El-Saban
 Microsoft Advanced Technology labs, Microsoft Technology and Research, Cairo, Egypt"
-07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1,Large scale unconstrained open set face database,"Large Scale Unconstrained Open Set Face Database
-Archana Sapkota
-University of Colorado at Colorado Springs
-2Terrance E. Boult
-Securics Inc, Colorado Springs"
 070ab604c3ced2c23cce2259043446c5ee342fd6,An Active Illumination and Appearance (AIA) Model for Face Alignment,"AnActiveIlluminationandAppearance(AIA)ModelforFaceAlignment
 FatihKahraman,MuhittinGokmen
 IstanbulTechnicalUniversity,
@@ -9134,6 +9301,26 @@ http://qmro.qmul.ac.uk/xmlui/handle/123456789/16147
 Information about this research object was correct at the time of download; we occasionally
 make corrections to records, please therefore check the published record when citing. For
 more information contact"
+6ed738ff03fd9042965abdfaa3ed8322de15c116,K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation,"This document is downloaded from DR-NTU, Nanyang Technological
+University Library, Singapore.
+Title
+K-MEAP: Generating Specified K Clusters with Multiple
+Exemplars by Efficient Affinity Propagation
+Author(s) Wang, Yangtao; Chen, Lihui
+Citation
+Wang, Y & Chen, L. (2014). K-MEAP: Generating
+Specified K Clusters with Multiple Exemplars by Efficient
+Affinity Propagation. 2014 IEEE International Conference
+on Data Mining (ICDM), 1091-1096.
+http://hdl.handle.net/10220/39690
+Rights
+© 2014 IEEE. Personal use of this material is permitted.
+Permission from IEEE must be obtained for all other
+uses, in any current or future media, including
+reprinting/republishing this material for advertising or
+promotional purposes, creating new collective works, for
+resale or redistribution to servers or lists, or reuse of any
+opyrighted component of this work in other works. The"
 6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,"International Journal on Recent and Innovation Trends in Computing and Communication
 ISSN: 2321-8169
 Volume: 2 Issue: 5
@@ -9178,6 +9365,26 @@ Institut f¨ur Neuroinformatik
 Ruhr-Universit¨at Bochum
 Bochum D-44801, Germany
 Editor: David Dunson"
+6ee64c19efa89f955011531cde03822c2d1787b8,Table S1: Review of Existing Facial Expression Databases That Are Often Used in Social Psycholgy,"Table S1: Review of existing facial expression databases that are often used in social
+psycholgy.
+Author
+database
+Expressions1
+Format
+Short summary
+GEMEP Corpus
+Mind Reading: the
+interactive
+guide
+to emotions
+udio
+video
+record-
+Videos
+nger,
+muse-
+dmiration,
+ment,"
 6e379f2d34e14efd85ae51875a4fa7d7ae63a662,A New Multi-modal Biometric System Based on Fingerprint and Finger Vein Recognition,"A NEW MULTI-MODAL BIOMETRIC SYSTEM
 BASED ON FINGERPRINT AND FINGER
 VEIN RECOGNITION
@@ -9291,6 +9498,12 @@ Support Vector Machines
 Porawat Visutsak
 Department of Information Technology, Faculty of Industrial Technology and Management,
 King Mongkut’s University of Technology North Bangkok,"
+9a1a9dd3c471bba17e5ce80a53e52fcaaad4373e,Automatic Recognition of Spontaneous Facial Actions,"Automatic Recognition of Spontaneous Facial
+Actions
+Marian Stewart Bartlett1, Gwen C. Littlewort1, Mark G. Frank2, Claudia Lainscsek1,
+Ian R. Fasel1, Javier R. Movellan1
+Institute for Neural Computation, University of California, San Diego.
+Department of Communication, University at Buffalo, State University of New York."
 9a42c519f0aaa68debbe9df00b090ca446d25bc4,Face Recognition via Centralized Coordinate Learning,"Face Recognition via Centralized Coordinate
 Learning
 Xianbiao Qi, Lei Zhang"
@@ -9384,6 +9597,10 @@ Stego Key Estimation in LSB Steganography
 Jing Liu and Guangming Tang
 REGULAR PAPERS
 Facial Expression Spacial Charts for Describing Dynamic Diversity of Facial Expressions"
+362bfeb28adac5f45b6ef46c07c59744b4ed6a52,Incorporating Scalability in Unsupervised Spatio- Temporal Feature Learning,"INCORPORATING SCALABILITY IN UNSUPERVISED SPATIO-TEMPORAL FEATURE
+LEARNING
+Sujoy Paul, Sourya Roy and Amit K. Roy-Chowdhury
+Dept. of Electrical and Computer Engineering, University of California, Riverside, CA 92521"
 365866dc937529c3079a962408bffaa9b87c1f06,Facial Feature Expression Based Approach for Human Face Recognition: A Review,"IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 3, May 2014.
 www.ijiset.com
 ISSN 2348 – 7968
@@ -9436,9 +9653,6 @@ Fax: +351-275-319899
 E-mail:
 E-mail:
 *Corresponding author"
-5cbe1445d683d605b31377881ac8540e1d17adf0,On 3D face reconstruction via cascaded regression in shape space,"On 3D Face Reconstruction via Cascaded Regression in Shape Space
-Feng Liu, Dan Zeng, Jing Li, Qijun Zhao
-College of Computer Science, Sichuan University, Chengdu, China"
 5c2e264d6ac253693469bd190f323622c457ca05,Improving large-scale face image retrieval using multi-level features,"978-1-4799-2341-0/13/$31.00 ©2013 IEEE
 ICIP 2013"
 5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0,Reference Face Graph for Face Recognition,"Reference Face Graph for Face Recognition
@@ -9497,11 +9711,6 @@ Vicky Kalogeiton1,2
 Philippe Weinzaepfel3
 Vittorio Ferrari2
 Cordelia Schmid1"
-097340d3ac939ce181c829afb6b6faff946cdce0,Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks,"Adding New Tasks to a Single Network with
-Weight Transformations using Binary Masks
-Massimiliano Mancini1,2, Elisa Ricci2,3, Barbara Caputo1,4, Samuel Rota Bul`o5
-Sapienza University of Rome, 2Fondazione Bruno Kessler,3University of Trento,
-Italian Institute of Technology, 5Mapillary Research"
 09718bf335b926907ded5cb4c94784fd20e5ccd8,"Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble","Recognizing Partially Occluded, Expression Variant
 Faces From Single Training Image per Person
 With SOM and Soft k-NN Ensemble
@@ -9548,10 +9757,6 @@ German Research Center for Artiﬁcial Intelligence (DFKI),
 Tripstaddterstr. 122, 67663 Kaiserslautern, Germany
 Technical University of Kaiserslautern
 http://www.av.dfki.de"
-5de5848dc3fc35e40420ffec70a407e4770e3a8d,WebVision Database: Visual Learning and Understanding from Web Data,"WebVision Database: Visual Learning and Understanding from Web Data
-Wen Li1, Limin Wang1, Wei Li2, Eirikur Agustsson1, Luc Van Gool1
-Computer Vision Laboratory, ETH Zurich
-Google Switzerland"
 5da139fc43216c86d779938d1c219b950dd82a4c,A Generalized Multiple Instance Learning Algorithm for Iterative Distillation and Cross-Granular Propagation of Video Annotations,"-4244-1437-7/07/$20.00 ©2007 IEEE
 II - 205
 ICIP 2007"
@@ -9671,6 +9876,26 @@ Qi Yin
 Megvii Inc.
 Chinchilla Doudou
 Megvii Inc."
+31afdb6fa95ded37e5871587df38976fdb8c0d67,Quantized fuzzy LBP for face recognition,"QUANTIZED FUZZY LBP FOR FACE RECOGNITION
+Jianfeng
+Xudong Jiang,
+Junsong
+BeingThere
+Centre
+Institute
+of Media Innovation
+Nanyang
+50 Nanyang
+Technological
+Singapore
+Drive,
+637553.
+University
+School of Electrical
+& Electronics
+Engineering
+Nanyang
+50 Nanyang"
 91811203c2511e919b047ebc86edad87d985a4fa,Expression Subspace Projection for Face Recognition from Single Sample per Person,"Expression Subspace Projection for Face
 Recognition from Single Sample per Person
 Hoda Mohammadzade, Student Member, IEEE, and Dimitrios Hatzinakos, Senior Member, IEEE"
@@ -9761,11 +9986,22 @@ S .  Cruz-Llanas, J. Ortega-Garcia, E. Martinez-Torrico, J. Gonzalez-Rodriguez
 Dpto. Ingenieria Audiovisual y Comunicaciones, EUIT Telecomunicacion, Univ. PolitCcnica de Madrid, Spain
 {cruzll, jortega, etorrico,
 http://www.atvs.diac.upm.es"
+65126e0b1161fc8212643b8ff39c1d71d262fbc1,Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model,"Occlusion Coherence: Localizing Occluded Faces with a
+Hierarchical Deformable Part Model
+Golnaz Ghiasi Charless C. Fowlkes
+Dept. of Computer Science, University of California, Irvine"
 6582f4ec2815d2106957215ca2fa298396dde274,Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations,"JUNE 2007
 Discriminative Learning and Recognition
 of Image Set Classes Using
 Canonical Correlations
 Tae-Kyun Kim, Josef Kittler, Member, IEEE, and Roberto Cipolla, Member, IEEE"
+65b1209d38c259fe9ca17b537f3fb4d1857580ae,Information Constraints on Auto-Encoding Variational Bayes,"Information Constraints on Auto-Encoding Variational Bayes
+Romain Lopez1, Jeffrey Regier1, Michael I. Jordan1,2, and Nir Yosef1,3,4
+{romain_lopez, regier,
+Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
+Department of Statistics, University of California, Berkeley
+Ragon Institute of MGH, MIT and Harvard
+Chan-Zuckerberg Biohub"
 655d9ba828eeff47c600240e0327c3102b9aba7c,Kernel pooled local subspaces for classification,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 35, NO. 3, JUNE 2005
 Kernel Pooled Local Subspaces for Classiﬁcation
 Peng Zhang, Student Member, IEEE, Jing Peng, Member, IEEE, and Carlotta Domeniconi"
@@ -9846,26 +10082,6 @@ Takayoshi Yamashita* Taro Watasue** Yuji Yamauchi* Hironobu Fujiyoshi*
 **Tome R&D
 *Chubu University,
 200, Matsumoto-cho, Kasugai, AICHI"
-628a3f027b7646f398c68a680add48c7969ab1d9,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,"Plan for Final Year Project:
-HKU-Face: A Large Scale Dataset for Deep Face
-Recognition
-Haicheng Wang
-035140108
-Haoyu Li
-035141841
-Introduction
-Face recognition has been one of the most successful techniques in the ﬁeld of artiﬁcial intelligence
-ecause of its surpassing human-level performance in academic experiments and broad application in
-the industrial world. Gaussian-face[1] and Facenet[2] hold state-of-the-art record using statistical
-method and deep-learning method respectively. What’s more, face recognition has been applied
-in various areas like authority checking and recording, fostering a large number of start-ups like
-Face++.
-Our ﬁnal year project will deal with the face recognition task by building a large-scaled and carefully-
-ﬁltered dataset. Our project plan speciﬁes our roadmap and current research process. This plan ﬁrst
-illustrates the signiﬁcance and potential enhancement in constructing large-scale face dataset for
-oth academics and companies. Then objectives to accomplish and related literature review will be
-expressed in detail. Next, methodologies used, scope of our project and challenges faced by us are
-described. The detailed timeline for this project follows as well as a small summary."
 62374b9e0e814e672db75c2c00f0023f58ef442c,Frontal face authentication using discriminating,"Frontalfaceauthenticationusingdiscriminatinggridswith
 morphologicalfeaturevectors
 A.Tefas
@@ -9915,11 +10131,6 @@ Intelligent Systems
 Riverside, CA, 92521-0425,
 Riverside, CA, 92521-0425,
 Riverside, CA, 92521-0425,"
-961a5d5750f18e91e28a767b3cb234a77aac8305,Face Detection without Bells and Whistles,"Face Detection without Bells and Whistles
-Markus Mathias1, Rodrigo Benenson2, Marco Pedersoli1, and Luc Van Gool1,3
-ESAT-PSI/VISICS, iMinds, KU Leuven, Belgium
-MPI Informatics, Saarbrücken, Germany
-D-ITET/CVL, ETH Zürich, Switzerland"
 9626bcb3fc7c7df2c5a423ae8d0a046b2f69180c,A deep learning approach for action classification in American football video sequences,"UPTEC STS 17033
 Examensarbete 30 hp
 November 2017
@@ -9940,26 +10151,6 @@ Suvarna V. Jadhav1, A.M.Bagade2
 9606b1c88b891d433927b1f841dce44b8d3af066,Principal Component Analysis with Tensor Train Subspace,"Principal Component Analysis with Tensor Train
 Subspace
 Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron"
-966e36f15b05ef8436afecf57a97b73d6dcada94,Dimensionality Reduction using Relative Attributes,"Dimensionality Reduction using Relative
-Attributes
-Mohammadreza Babaee1, Stefanos Tsoukalas1, Maryam Babaee2
-Gerhard Rigoll1, and Mihai Datcu3
-Institute for Human-Machine Communication, Technische Universit¨at M¨unchen
-Computer Engineering Dept. University of Isfahan, Iran
-The Remote Sensing Technology Institute (IMF), German Aerospace Center
-Introduction
-Visual attributes are high-level semantic description of visual data that are close
-to the language of human. They have been intensively used in various appli-
-ations such as image classiﬁcation [1,2], active learning [3,4], and interactive
-search [5]. However, the usage of attributes in dimensionality reduction has not
-een considered yet. In this work, we propose to utilize relative attributes as
-semantic cues in dimensionality reduction. To this end, we employ Non-negative
-Matrix Factorization (NMF) [6] constrained by embedded relative attributes to
-ome up with a new algorithm for dimensionality reduction, namely attribute
-regularized NMF (ANMF).
-Approach
-We assume that X ∈ RD×N denotes N data points (e.g., images) represented by
-D dimensional low-level feature vectors. The NMF decomposes the non-negative"
 96b1000031c53cd4c1c154013bb722ffd87fa7da,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video
 Prediction
 Wonmin Byeon1,2,3,4, Qin Wang2,
@@ -9982,22 +10173,11 @@ M.H Saboo Siddik College of Engineering, University of Mumbai, India"
 Segmentation
 Michael Baltaxe
 Technion - Computer Science Department - M.Sc. Thesis  MSC-2014-02 - 2014"
-3a76e9fc2e89bdd10a9818f7249fbf61d216efc4,Face Sketch Matching via Coupled Deep Transform Learning,"Face Sketch Matching via Coupled Deep Transform Learning
-Shruti Nagpal1, Maneet Singh1, Richa Singh1
-, Mayank Vatsa1
-, Afzel Noore2, and Angshul Majumdar1
-IIIT-Delhi, India, 2West Virginia University
-{shrutin, maneets, rsingh, mayank,"
 3a804cbf004f6d4e0b041873290ac8e07082b61f,A Corpus-Guided Framework for Robotic Visual Perception,"Language-Action Tools for Cognitive Artificial Agents: Papers from the 2011 AAAI Workshop (WS-11-14)
 A Corpus-Guided Framework for Robotic Visual Perception
 Ching L. Teo, Yezhou Yang, Hal Daum´e III, Cornelia Ferm¨uller, Yiannis Aloimonos
 University of Maryland Institute for Advanced Computer Studies, College Park, MD 20742-3275
 {cteo, yzyang, hal, fer,"
-3a04eb72aa64760dccd73e68a3b2301822e4cdc3,Scalable Sparse Subspace Clustering,"Scalable Sparse Subspace Clustering
-Machine Intelligence Laboratory, College of Computer Science, Sichuan University,
-Xi Peng, Lei Zhang and Zhang Yi
-{leizhang,
-Chengdu, 610065, China."
 3abc833f4d689f37cc8a28f47fb42e32deaa4b17,Large Scale Retrieval and Generation of Image Descriptions,"Noname manuscript No.
 (will be inserted by the editor)
 Large Scale Retrieval and Generation of Image Descriptions
@@ -10006,6 +10186,26 @@ Margaret Mitchell · Kota Yamaguchi · Karl Stratos · Amit Goyal ·
 Jesse Dodge · Alyssa Mensch · Hal Daum´e III · Alexander C. Berg ·
 Yejin Choi · Tamara L. Berg
 Received: date / Accepted: date"
+3acb6b3e3f09f528c88d5dd765fee6131de931ea,Novel representation for driver emotion recognition in motor vehicle videos,"(cid:49)(cid:50)(cid:57)(cid:40)(cid:47)(cid:3)(cid:53)(cid:40)(cid:51)(cid:53)(cid:40)(cid:54)(cid:40)(cid:49)(cid:55)(cid:36)(cid:55)(cid:44)(cid:50)(cid:49)(cid:3)(cid:41)(cid:50)(cid:53)(cid:3)(cid:39)(cid:53)(cid:44)(cid:57)(cid:40)(cid:53)(cid:3)(cid:40)(cid:48)(cid:50)(cid:55)(cid:44)(cid:50)(cid:49)(cid:3)(cid:53)(cid:40)(cid:38)(cid:50)(cid:42)(cid:49)(cid:44)(cid:55)(cid:44)(cid:50)(cid:49)(cid:3)(cid:3)
+(cid:44)(cid:49)(cid:3)(cid:48)(cid:50)(cid:55)(cid:50)(cid:53)(cid:3)(cid:57)(cid:40)(cid:43)(cid:44)(cid:38)(cid:47)(cid:40)(cid:3)(cid:57)(cid:44)(cid:39)(cid:40)(cid:50)(cid:54)(cid:3)
+(cid:53)(cid:68)(cid:77)(cid:78)(cid:88)(cid:80)(cid:68)(cid:85)(cid:3)(cid:55)(cid:75)(cid:72)(cid:68)(cid:74)(cid:68)(cid:85)(cid:68)(cid:77)(cid:68)(cid:81)(cid:13)(cid:15)(cid:3)(cid:37)(cid:76)(cid:85)(cid:3)(cid:37)(cid:75)(cid:68)(cid:81)(cid:88)(cid:13)(cid:15)(cid:3)(cid:36)(cid:79)(cid:69)(cid:72)(cid:85)(cid:87)(cid:3)(cid:38)(cid:85)(cid:88)(cid:93)(cid:130)(cid:15)(cid:3)(cid:37)(cid:72)(cid:79)(cid:76)(cid:81)(cid:71)(cid:68)(cid:3)(cid:47)(cid:72)(cid:13)(cid:15)(cid:3)(cid:36)(cid:86)(cid:82)(cid:81)(cid:74)(cid:88)(cid:3)(cid:55)(cid:68)(cid:80)(cid:69)(cid:82)(cid:13)(cid:3)
+(cid:3)
+*Center for Research in Intelligent Systems, University of California, Riverside, CA 92521, USA
+(cid:130) Computer Perception Lab, California State University, Bakersfield, CA 93311, USA
+(cid:36)(cid:37)(cid:54)(cid:55)(cid:53)(cid:36)(cid:38)(cid:55)(cid:3)
+the  background
+(cid:3)
+A  novel  feature  representation  of  human  facial  expressions
+for  emotion  recognition  is  developed.  The  representation
+leveraged
+texture  removal  ability  of
+Anisotropic  Inhibited  Gabor  Filtering  (AIGF)  with  the
+ompact  representation  of  spatiotemporal
+local  binary
+patterns. The  emotion recognition  system incorporated face
+detection  and registration  followed  by the proposed  feature
+representation:  Local  Anisotropic  Inhibited  Binary  Patterns
+in  Three  Orthogonal"
 3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,"JANUARY-MARCH 2012
 A Multimodal Database for
 Affect Recognition and Implicit Tagging
@@ -10121,6 +10321,26 @@ Xin Pan
 Google Brain
 Vincent Vanhoucke
 Google Brain"
+9853136dbd7d5f6a9c57dc66060cab44a86cd662,"Improving the Neural Network Training for Face Recognition using Adaptive Learning Rate , Resilient Back Propagation and Conjugate Gradient Algorithm","International Journal of Computer Applications (0975 – 8887)
+Volume 34– No.2, November 2011
+Improving the Neural Network Training for Face
+Recognition using Adaptive Learning Rate, Resilient
+Back Propagation and Conjugate Gradient Algorithm
+Hamed Azami
+M.Sc. Student
+Department of Electrical
+Engineering, Iran University
+of Science and Technology,
+Tehran, Iran
+Saeid Sanei
+Associate Professor
+Department of Computing,
+Faculty of Engineering and
+Physical Sciences, University
+of Surrey, UK
+Karim Mohammadi
+Professor
+Department of Electrical"
 988d1295ec32ce41d06e7cf928f14a3ee079a11e,Semantic Deep Learning,"Semantic Deep Learning
 Hao Wang
 September 29, 2015"
@@ -10147,6 +10367,15 @@ Ionut C. Duta · Jasper R.R. Uijlings ·
 Bogdan Ionescu · Kiyoharu Aizawa ·
 Alexander G. Hauptmann · Nicu Sebe
 Received: date / Accepted: date"
+98a660c15c821ea6d49a61c5061cd88e26c18c65,Face Databases for 2D and 3D Facial Recognition: A Survey,"IOSR Journal of Engineering (IOSRJEN)
+e-ISSN: 2250-3021, p-ISSN: 2278-8719
+Vol. 3, Issue 4 (April. 2013), ||V1 || PP 43-48
+Face Databases for 2D and 3D Facial Recognition: A Survey
+R.Senthilkumar1, Dr.R.K.Gnanamurthy2
+Assistant Professor,  Department of Electronics and Communication Engineering, Institute of Road and
+Professor and Dean , Department of Electronics and Communication Engineering, Odaiyappa College of
+Transport Technology,Erode-638 316.
+Engineering and Technology,Theni-625 531."
 98519f3f615e7900578bc064a8fb4e5f429f3689,Dictionary-Based Domain Adaptation Methods for the Re-identification of Faces,"Dictionary-based Domain Adaptation Methods
 for the Re-identiﬁcation of Faces
 Qiang Qiu, Jie Ni, and Rama Chellappa"
@@ -10367,11 +10596,6 @@ Fumin Shen, Chunhua Shen and Heng Tao Shen"
 Identiﬁcation: A Block Matching Approach
 Yang Zhong, Haibo Li
 KTH, Royal Institute of Technology"
-5b59e6b980d2447b2f3042bd811906694e4b0843,Two-stage cascade model for unconstrained face detection,"Two-stage Cascade Model for Unconstrained
-Face Detection
-Darijan Marčetić, Tomislav Hrkać, Slobodan Ribarić
-University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia
-{darijan.marcetic, tomislav.hrkac,"
 5bfc32d9457f43d2488583167af4f3175fdcdc03,Local Gray Code Pattern (LGCP): A Robust Feature Descriptor for Facial Expression Recognition,"International Journal of Science and Research (IJSR), India Online ISSN: 2319-7064
 Local Gray Code Pattern (LGCP): A Robust
 Feature Descriptor for Facial Expression
@@ -10409,14 +10633,18 @@ An evolving spatio-temporal approach for gender and age
 group classiﬁcation with Spiking Neural Networks
 Fahad Bashir Alvi, Russel Pears, Nikola Kasabov
 Received: date / Accepted: date"
-5bf70c1afdf4c16fd88687b4cf15580fd2f26102,Residual Codean Autoencoder for Facial Attribute Analysis,"Accepted in Pattern Recognition Letters
-Pattern Recognition Letters
-journal homepage: www.elsevier.com
-Residual Codean Autoencoder for Facial Attribute Analysis
-Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa∗∗
-IIIT-Delhi, New Delhi, India
-Article history:
-Received 29 March 2017"
+5b01d4338734aefb16ee82c4c59763d3abc008e6,A Robust Face Recognition Algorithm Based on Kernel Regularized Relevance-Weighted Discriminant Analysis,"DI WU: A ROBUST FACE RECOGNITION ALGORITHM BASED ON KERNEL REGULARIZED RELEVANCE …
+A Robust Face Recognition Algorithm Based on Kernel Regularized
+Relevance-Weighted Discriminant Analysis
+Di WU 1, 2
+2 Hunan Provincial Key Laboratory of Wind Generator and Its Control, Hunan Institute of Engineering, Xiangtan, China.
+College of Electrical and Information Engineering,
+[e-mail:
+I. INTRODUCTION
+interface  and  security
+recognition
+their
+this  paper,  we  propose  an  effective"
 5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,"A short version of this paper is accepted to ACM Asia Conference on Computer and Communications Security (ASIACCS) 2018
 Detection under Privileged Information (Full Paper)∗
 Z. Berkay Celik
@@ -10509,6 +10737,20 @@ from speaker to face authentication
 using Gaussian mixture models
 Roy Wallace, Member, IEEE, Mitchell McLaren, Member, IEEE, Christopher McCool, Member, IEEE,
 nd S´ebastien Marcel, Member, IEEE"
+3773e5d195f796b0b7df1fca6e0d1466ad84b5e7,UNIVERSITY OF CALIFORNIA RIVERSIDE Learning from Time Series in the Presence of Noise: Unsupervised and Semi-Supervised Approaches,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Learning from Time Series in the Presence of Noise: Unsupervised and Semi-Supervised
+Approaches
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Computer Science
+Dragomir Dimitrov Yankov
+March 2008
+Dissertation Committee:
+Dr. Eamonn Keogh, Chairperson
+Dr. Stefano Lonardi
+Dr. Vassilis Tsotras"
 37eb666b7eb225ffdafc6f318639bea7f0ba9a24,"Age, Gender and Race Estimation from Unconstrained Face Images","MSU Technical Report (2014): MSU-CSE-14-5
 Age, Gender and Race Estimation from
 Unconstrained Face Images
@@ -10521,6 +10763,11 @@ los, Shiyang Cheng and Maja Pantic"
 37b6d6577541ed991435eaf899a2f82fdd72c790,Vision-based Human Gender Recognition: A Survey,"Vision-based Human Gender Recognition: A Survey
 Choon Boon Ng, Yong Haur Tay, Bok Min Goi
 Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia."
+372a8bf0ef757c08551d41e40cb7a485527b6cd7,Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature,"Unsupervised Video Hashing by Exploiting
+Spatio-Temporal Feature
+Chao Ma, Yun Gu, Wei Liu, and Jie Yang(cid:63)
+Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong
+University, Shanghai, China."
 370b5757a5379b15e30d619e4d3fb9e8e13f3256,Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments,"Labeled Faces in the Wild: A Database for Studying
 Face Recognition in Unconstrained Environments
 Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller"
@@ -10641,15 +10888,6 @@ Narishige Abe, Takashi Shinzaki"
 Beyond Counting: Comparisons of Density Maps for Crowd
 Analysis Tasks - Counting, Detection, and Tracking
 Di Kang, Zheng Ma, Member, IEEE, Antoni B. Chan Senior Member, IEEE,"
-6d07e176c754ac42773690d4b4919a39df85d7ec,Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks,"Face Attribute Prediction Using Off-The-Shelf Deep
-Learning Networks
-Yang Zhong
-Josephine Sullivan
-Haibo Li
-Computer Science and Communication
-KTH Royal Institute of Technology
-00 44 Stockholm, Sweden
-{yzhong, sullivan,"
 6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,"Journal of Information Engineering and Applications
 ISSN 2224-5782 (print) ISSN 2225-0506 (online)
 Vol 2, No.3, 2012
@@ -10876,14 +11114,6 @@ Eiichi Matsumoto∗
 Preferred Networks inc., Japan
 {msaito, matsumoto,
 Shunta Saito"
-06400a24526dd9d131dfc1459fce5e5189b7baec,Event Recognition in Photo Collections with a Stopwatch HMM,"Event Recognition in Photo Collections with a Stopwatch HMM
-Lukas Bossard1
-Matthieu Guillaumin1
-Luc Van Gool1,2
-Computer Vision Lab
-ETH Z¨urich, Switzerland
-ESAT, PSI-VISICS
-K.U. Leuven, Belgium"
 0694b05cbc3ef5d1c5069a4bfb932a5a7b4d5ff0,Exploiting Local Class Information in Extreme Learning Machine,"Iosifidis, A., Tefas, A., & Pitas, I. (2014). Exploiting Local Class Information
 in Extreme Learning Machine. Paper presented at International Joint
 Conference on Computational Intelligence (IJCCI), Rome, Italy.
@@ -11030,10 +11260,14 @@ RBF Neural Network and Fuzzy Inference System
 Hadi Seyedarabi*, Ali Aghagolzadeh **, Sohrab Khanmohammadi **
 *Islamic Azad University of AHAR
 **Elect. Eng. Faculty, Tabriz University, Tabriz, Iran"
-396a19e29853f31736ca171a3f40c506ef418a9f,Real World Real-time Automatic Recognition of Facial Expressions,"Real World Real-time Automatic Recognition of Facial Expressions
-Ying-li Tian Lisa Brown Arun Hampapur Sharat Pankanti Andrew Senior and Ruud Bolle
-Exploratory Computer Vision Group, IBM T. J. Watson Research Center
-PO Box 704, Yorktown Heights, NY 10598"
+397085122a5cade71ef6c19f657c609f0a4f7473,Using Segmentation to Predict the Absence of Occluded Parts,"GHIASI, FOWLKES: USING SEGMENTATION TO DETECT OCCLUSION
+Using Segmentation to Predict the Absence
+of Occluded Parts
+Golnaz Ghiasi
+Charless C. Fowlkes
+Dept. of Computer Science
+University of California
+Irvine, CA"
 39c8b34c1b678235b60b648d0b11d241a34c8e32,Learning to Deblur Images with Exemplars,"Learning to Deblur Images with Exemplars
 Jinshan Pan∗, Wenqi Ren∗, Zhe Hu∗, and Ming-Hsuan Yang"
 3986161c20c08fb4b9b791b57198b012519ea58b,An Efficient Method for Face Recognition based on Fusion of Global and Local Feature Extraction,"International Journal of Soft Computing and Engineering (IJSCE)
@@ -11186,6 +11420,13 @@ Deep Appearance Models: A Deep Boltzmann
 Machine Approach for Face Modeling
 Chi Nhan Duong, Student, IEEE, Khoa Luu, Member, IEEE,
 Kha Gia Quach, Student, IEEE, Tien D. Bui, Senior Member, IEEE"
+55ea0c775b25d9d04b5886e322db852e86a556cd,DOCK: Detecting Objects by transferring Common-sense Knowledge,"DOCK: Detecting Objects
+y transferring Common-sense Knowledge
+Santosh Divvala2,3[0000−0003−4042−5874], Ali Farhadi2,3[0000−0001−7249−2380], and
+Krishna Kumar Singh1,3[0000−0002−8066−6835],
+Yong Jae Lee1[0000−0001−9863−1270]
+University of California, Davis 2University of Washington 3Allen Institute for AI
+https://dock-project.github.io"
 554b9478fd285f2317214396e0ccd81309963efd,Spatio-Temporal Action Localization For Human Action Recognition in Large Dataset,"Spatio-Temporal Action Localization For Human Action
 Recognition in Large Dataset
 Sameh MEGRHI1, Marwa JMAL 2, Azeddine BEGHDADI1 and Wided Mseddi1,2
@@ -11253,17 +11494,6 @@ M.P.M. College, Bhopal, India"
 Peter Collingbourne, Nakul Durve, Khilan Gudka, Steve Lovegrove, Jiefei Ma, Sadegh Shahrbaf
 Supervisor: Professor Duncan Gillies
 January 11, 2006"
-97137d5154a9f22a5d9ecc32e8e2b95d07a5a571,Facial expression recognition based on local region specific features and support vector machines,"The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-016-3418-y
-Facial Expression Recognition based on Local Region
-Specific Features and Support Vector Machines
-Deepak Ghimire1, Sunghwan Jeong1, Joonwhoan Lee2, ♣, Sang Hyun
-Park1
-Korea Electronics Technology Institute, Jeonju-si, Jeollabuk-do 561-844, Rep. of Korea; E-
-Mails: (deepak, shjeong,
-Division of Computer Engineering, Jeonbuk National University, Jeonju-si, Jeollabuk-do 561-
-756, Rep. of Korea; E-Mail:
-♣  Corresponding Author; E-Mail:
-Tel.: +82-63-270-2406; Fax: +82-63-270-2394."
 97f9c3bdb4668f3e140ded2da33fe704fc81f3ea,An Experimental Comparison of Appearance and Geometric Model Based Recognition,"AnExperimentalComparisonofAppearance
 ndGeometricModelBasedRecognition
 J.Mundy,A.Liu,N.Pillow,A.Zisserman,S.Abdallah,S.Utcke,
@@ -11329,17 +11559,6 @@ Lausanne, Switzerland"
 63340c00896d76f4b728dbef85674d7ea8d5ab26,Discriminant Subspace Analysis: A Fukunaga-Koontz Approach,"Discriminant Subspace Analysis:
 A Fukunaga-Koontz Approach
 Sheng Zhang, Member, IEEE, and Terence Sim, Member, IEEE"
-633101e794d7b80f55f466fd2941ea24595e10e6,Face Attribute Prediction with classification CNN,"In submission to IEEE conference
-Face Attribute Prediction with classiﬁcation CNN
-FACE ATTRIBUTE PREDICTION WITH
-CLASSIFICATION CNN
-Yang Zhong
-Josephine Sullivan
-Haibo Li
-Computer Science and Communication
-KTH Royal Institute of Technology
-00 44 Stockholm, Sweden
-{yzhong, sullivan,"
 634541661d976c4b82d590ef6d1f3457d2857b19,Advanced Techniques for Face Recognition under Challenging Environments,"AAllmmaa  MMaatteerr  SSttuuddiioorruumm  ––  UUnniivveerrssiittàà  ddii  BBoollooggnnaa
 in cotutela con Università di Sassari
 DOTTORATO DI RICERCA IN
@@ -11408,11 +11627,6 @@ Received: 10 December 2014 / Accepted: 11 August 2015 / Published online: 23 Aug
 Participants: K. Kempfert, J. Fabish, K. Park, and R. Towner
 Mentors: Y. Wang, C. Chen, and T. Kling
 NSF-REU Site at UNC Wilmington, Summer 2017"
-0f0366070b46972fcb2976775b45681e62a94a26,Reliable Posterior Probability Estimation for Streaming Face Recognition,"Reliable Posterior Probability Estimation for Streaming Face Recognition
-Abhijit Bendale
-University of Colorado at Colorado Springs
-Terrance Boult
-University of Colorado at Colorado Springs"
 0ff23392e1cb62a600d10bb462d7a1f171f579d0,Toward Sparse Coding on Cosine Distance,"Toward	Sparse	Coding	on	Cosine
 Distance
 Jonghyun	Choi,	Hyunjong	Cho,	Jungsuk	Kwak#,
@@ -11598,6 +11812,24 @@ S. Revathy, 2Mr. L. Ramasethu
 PG Scholar, Hindusthan College of Engineering and Technology, Coimbatore, India.
 Assistant Professor, Hindusthan College of Engineering and Technology, Coimbatore, India.
 Email id:"
+902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,"KAN et al.: SIDE-INFORMATION BASED LDA FOR FACE RECOGNITION
+Side-Information based Linear
+Discriminant Analysis for Face
+Recognition
+Meina Kan1,2,3
+Shiguang Shan1,2
+Dong Xu3
+Xilin Chen1,2
+Digital Media Research Center,
+Institute of Computing
+Technology, CAS, Beijing, China
+Key Laboratory of Intelligent
+Information Processing, Chinese
+Academy of Sciences, Beijing,
+China
+School of Computer Engineering,
+Nanyang Technological
+University, Singapore"
 90cb074a19c5e7d92a1c0d328a1ade1295f4f311,Fully Automatic Upper Facial Action Recognition,"MIT. Media Laboratory Affective Computing Technical Report #571
 Appears in IEEE International Workshop on Analysis and Modeling of Faces and Gestures , Oct 2003
 Fully Automatic Upper Facial Action Recognition
@@ -11634,6 +11866,20 @@ to  get  desired
 information
 Introduction
 ---------------------------------------------------------------------***---------------------------------------------------------------------"
+bf4825474673246ae855979034c8ffdb12c80a98,"UNIVERSITY OF CALIFORNIA RIVERSIDE Active Learning in Multi-Camera Networks, With Applications in Person Re-Identification A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering","UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Active Learning in Multi-Camera Networks, With Applications in Person
+Re-Identiﬁcation
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Electrical Engineering
+Abir Das
+December 2015
+Dissertation Committee:
+Professor Amit K. Roy-Chowdhury, Chairperson
+Professor Anastasios Mourikis
+Professor Walid Najjar"
 bf5940d57f97ed20c50278a81e901ae4656f0f2c,Query-Free Clothing Retrieval via Implicit Relevance Feedback,"Query-free Clothing Retrieval via Implicit
 Relevance Feedback
 Zhuoxiang Chen, Zhe Xu, Ya Zhang, Member, IEEE, and Xiao Gu"
@@ -11877,10 +12123,6 @@ Palabras clave: Expresiones faciales, clasiﬁcaci´on, m´aquinas de soporte
 vectorial,modelos activos de apariencia.
 Facial Expressions Recognition Based on Facial
 Landmarks Dynamics"
-a0aa32bb7f406693217fba6dcd4aeb6c4d5a479b,Cascaded Regressor based 3D Face Reconstruction from a Single Arbitrary View Image,"Cascaded Regressor based 3D Face Reconstruction
-from a Single Arbitrary View Image
-Feng Liu, Dan Zeng, Jing Li, Qijun Zhao
-College of Computer Science, Sichuan University, Chengdu, China"
 a03cfd5c0059825c87d51f5dbf12f8a76fe9ff60,Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning,"Simultaneous Learning and Alignment:
 Multi-Instance and Multi-Pose Learning?
 Boris Babenko1 Piotr Doll´ar1,2
@@ -12017,10 +12259,6 @@ Tu-Khiem Le, Thanh-An Nguyen, Minh-Triet Tran
 Faculty of Information Technology
 University of Science, Vietnam National University-Ho Chi Minh city
 {nhmtien, cqhuu, nvtu,"
-b81cae2927598253da37954fb36a2549c5405cdb,Experiments on Visual Information Extraction with the Faces of Wikipedia,"Experiments on Visual Information Extraction with the Faces of Wikipedia
-Md. Kamrul Hasan and Christopher Pal
-D´epartement de g´enie informatique et g´enie logiciel, Polytechnique Montr´eal
-500, Chemin de Polytechnique, Universit´e de Montr´eal, Montr`eal, Qu´ebec, Canada"
 b8a829b30381106b806066d40dd372045d49178d,A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation,"A Probabilistic Framework for Joint Pedestrian Head
 nd Body Orientation Estimation
 Fabian Flohr, Madalin Dumitru-Guzu, Julian F. P. Kooij, and Dariu M. Gavrila"
@@ -12144,13 +12382,6 @@ Mohamed Hammami
 MIRACL-FSS
 University of Sfax
 Tunisia (3018), Sfax"
-dc77287bb1fcf64358767dc5b5a8a79ed9abaa53,Fashion Conversation Data on Instagram,"Fashion Conversation Data on Instagram
-Yu-I Ha∗
-Sejeong Kwon∗
-Meeyoung Cha∗
-Jungseock Joo†
-Graduate School of Culture Technology, KAIST, South Korea
-Department of Communication Studies, UCLA, USA"
 dc2e805d0038f9d1b3d1bc79192f1d90f6091ecb,Face Recognition and Facial Attribute Analysis from Unconstrained Visual Data,
 dc974c31201b6da32f48ef81ae5a9042512705fe,Am I Done? Predicting Action Progress in Videos,"Am I done? Predicting Action Progress in Video
 Federico Becattini1, Tiberio Uricchio1, Lorenzo Seidenari1,
@@ -12646,11 +12877,6 @@ Alexandros Stergiou
 Department of Information and Computing Sciences, Utrecht University,Buys Ballotgebouw, Princetonplein 5, Utrecht, 3584CC, Netherlands
 Department of Information and Computing Sciences, Utrecht University,Buys Ballotgebouw, Princetonplein 5, Utrecht, 3584CC, Netherlands
 Ronald Poppe1"
-a8035ca71af8cc68b3e0ac9190a89fed50c92332,IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild,"IIIT-CFW: A Benchmark Database of
-Cartoon Faces in the Wild
-Ashutosh Mishra1, Shyam Nandan Rai1, Anand Mishra2, C. V. Jawahar1
-IIIT Chittoor, Sri City, India
-CVIT, KCIS, IIIT Hyderabad, India"
 a88640045d13fc0207ac816b0bb532e42bcccf36,Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction,"ARXIV VERSION
 Simultaneously Learning Neighborship and
 Projection Matrix for Supervised
@@ -12753,6 +12979,19 @@ b0de0892d2092c8c70aa22500fed31aa7eb4dd3f,A Robust and Efficient Video Representa
 A robust and efﬁcient video representation for action recognition
 Heng Wang · Dan Oneata · Jakob Verbeek · Cordelia Schmid
 Received: date / Accepted: date"
+b073313325b6482e22032e259d7311fb9615356c,Robust and accurate cancer classification with gene expression profiling,"Robust and Accurate Cancer Classiﬁcation with Gene Expression Proﬁling
+Haifeng Li
+Keshu Zhang
+Tao Jiang
+Dept. of Computer Science
+Human Interaction Research Lab
+Dept. of Computer Science
+University of California
+Riverside, CA 92521
+Motorola, Inc.
+Tempe, AZ 85282
+University of California
+Riverside, CA 92521"
 a66d89357ada66d98d242c124e1e8d96ac9b37a0,Failure Detection for Facial Landmark Detectors,"Failure Detection for Facial Landmark Detectors
 Andreas Steger, Radu Timofte, and Luc Van Gool
 Computer Vision Lab, D-ITET, ETH Zurich, Switzerland
@@ -13013,6 +13252,26 @@ for the degree of Doctor of Philosophy in the Faculty of Engineering, Department
 Computer Science.
 February 2007
 71657 words"
+c317181fa1de2260e956f05cd655642607520a4f,Objective Classes for Micro-Facial Expression Recognition,"Research Article
+Research
+Article for submission to journal
+Subject Areas:
+omputer vision, pattern recognition,
+feature descriptor
+Keywords:
+micro-facial expression, expression
+recognition, action unit
+Moi Hoon Yap
+e-mail:
+Objective Classes for
+Micro-Facial Expression
+Recognition
+Adrian K. Davison1, Walied Merghani2 and
+Moi Hoon Yap3
+Centre for Imaging Sciences, University of
+Manchester, Manchester, United Kingdom
+Sudan University of Science and Technology,
+Khartoum, Sudan"
 c30e4e4994b76605dcb2071954eaaea471307d80,Feature Selection for Emotion Recognition based on Random Forest,
 c37a971f7a57f7345fdc479fa329d9b425ee02be,A Novice Guide towards Human Motion Analysis and Understanding,"A Novice Guide towards Human Motion Analysis and Understanding
 Dr. Ahmed Nabil Mohamed"
@@ -13091,6 +13350,26 @@ Mohammadreza Zolfaghari , Gabriel L. Oliveira, Nima Sedaghat, and Thomas Brox
 University of Freiburg
 Freiburg im Breisgau, Germany"
 ea482bf1e2b5b44c520fc77eab288caf8b3f367a,Flexible Orthogonal Neighborhood Preserving Embedding,Proceedings of the Twenty-Sixth International Joint Conference on Artiﬁcial Intelligence (IJCAI-17)
+ea6f5c8e12513dbaca6bbdff495ef2975b8001bd,Applying a Set of Gabor Filter to 2D-Retinal Fundus Image to Detect the Optic Nerve Head (ONH),"Applying a Set of Gabor Filter to 2D-Retinal Fundus Image
+to Detect the Optic Nerve Head (ONH)
+Rached Belgacem1,2*, Hédi Trabelsi2, Ines Malek3, Imed Jabri1
+Higher National School of engineering of Tunis, ENSIT, Laboratory LATICE (Information Technology and Communication and
+Electrical Engineering LR11ESO4), University of Tunis EL Manar. Adress: ENSIT 5, Avenue Taha Hussein, B. P. : 56, Bab
+Menara, 1008 Tunis; 2University of Tunis El-Manar, Tunis with expertise in Mechanic, Optics, Biophysics, Conference Master
+ISTMT, Laboratory of Research in Biophysics and Medical Technologies LRBTM Higher Institute of Medical Technologies of Tunis
+ISTMT, University of Tunis El Manar Address: 9, Rue Docteur Zouheïr Safi – 1006; 3Faculty of Medicine of Tunis; Address: 15
+Rue Djebel Lakhdhar. La Rabta. 1007, Tunis - Tunisia
+Corresponding author:
+Rached Belgacem,
+High Institute of Medical Technologies
+of Tunis, ISTMT, and High National
+School Engineering of Tunis,
+Information Technology and
+Communication Technology and
+Electrical Engineering, University of
+Tunis El-Manar, ENSIT 5, Avenue Taha
+Hussein, B. P.: 56, Bab Menara, 1008
+Tunis, Tunisia,"
 eafda8a94e410f1ad53b3e193ec124e80d57d095,Observer-Based Measurement of Facial Expression With the Facial Action Coding System,"Jeffrey F. Cohn
 Zara Ambadar
 Paul Ekman
@@ -13181,6 +13460,20 @@ cd9666858f6c211e13aa80589d75373fd06f6246,A Novel Time Series Kernel for Sequence
 Sequences Generated by LTI Systems
 Liliana Lo Presti, Marco La Cascia
 V.le delle Scienze Ed.6, DIID, Universit´a degli studi di Palermo, Italy"
+cd444ee7f165032b97ee76b21b9ff58c10750570,Table of Contents.,"UNIVERSITY OF CALIFORNIA,
+IRVINE
+Relational Models for Human-Object Interactions and Object Affordances
+DISSERTATION
+submitted in partial satisfaction of the requirements
+for the degree of
+DOCTOR OF PHILOSOPHY
+in Computer Science
+Chaitanya Desai
+Dissertation Committee:
+Professor Deva Ramanan, Chair
+Professor Charless Fowlkes
+Professor Padhraic Smyth
+Professor Serge Belongie"
 cd596a2682d74bdfa7b7160dd070b598975e89d9,Mood Detection: Implementing a facial expression recognition system,"Mood Detection: Implementing a facial
 expression recognition system
 Neeraj Agrawal, Rob Cosgriff and Ritvik Mudur
@@ -13207,6 +13500,12 @@ cd3005753012409361aba17f3f766e33e3a7320d,Multilinear Biased Discriminant Analysi
 Action Unit Representation
 Mahmoud Khademi†, Mehran Safayani†and Mohammad T. Manzuri-Shalmani†
 : Sharif University of Tech., DSP Lab,"
+cd687ddbd89a832f51d5510c478942800a3e6854,A game to crowdsource data for affective computing,"A Game to Crowdsource Data for Affective Computing
+Chek Tien Tan
+Hemanta Sapkota
+Daniel Rosser
+Yusuf Pisan
+Games Studio, Faculty of Engineering and IT, University of Technology, Sydney"
 cd7a7be3804fd217e9f10682e0c0bfd9583a08db,Women also Snowboard: Overcoming Bias in Captioning Models,"Women also Snowboard:
 Overcoming Bias in Captioning Models
 Lisa Anne Hendricks * 1 Kaylee Burns * 1 Kate Saenko 2 Trevor Darrell 1 Anna Rohrbach 1"
@@ -13395,12 +13694,15 @@ Veriﬁcation
 Donghoon Lee, Hyunsin Park, Junyoung Chung,
 Youngook Song, and Chang D. Yoo
 Department of Electrical Engineering, KAIST, Daejeon, Korea"
-f7b422df567ce9813926461251517761e3e6cda0,Face aging with conditional generative adversarial networks,"FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
-Grigory Antipov(cid:63)†
-Moez Baccouche(cid:63)
-Jean-Luc Dugelay†
-(cid:63) Orange Labs, 4 rue Clos Courtel, 35512 Cesson-S´evign´e, France
-Eurecom, 450 route des Chappes, 06410 Biot, France"
+f740bac1484f2f2c70777db6d2a11cf4280081d6,Soft Locality Preserving Map (SLPM) for Facial Expression Recognition,"Soft Locality Preserving Map (SLPM) for Facial Expression
+Recognition
+Cigdem Turana,*, Kin-Man Lama, Xiangjian Heb
+Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong
+Kong Polytechnic University, Kowloon, Hong Kong
+Computer Science, School of Electrical and Data Engineering, University of Technology, Sydney,
+Australia
+E-mail addresses: (C. Turan), (K.-M. Lam),
+(X. He)"
 f79c97e7c3f9a98cf6f4a5d2431f149ffacae48f,Title On color texture normalization for active appearance models,"Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published
 version when available.
 Title
@@ -13459,6 +13761,11 @@ lgorithms on these new features is analyzed."
 f77c9bf5beec7c975584e8087aae8d679664a1eb,Local Deep Neural Networks for Age and Gender Classification,"Local Deep Neural Networks for Age and Gender Classiﬁcation
 Zukang Liao, Stavros Petridis, Maja Pantic
 March 27, 2017"
+f7ba77d23a0eea5a3034a1833b2d2552cb42fb7a,LOTS about attacking deep features,"This is a pre-print of the original paper accepted at the International Joint Conference on Biometrics (IJCB) 2017.
+LOTS about Attacking Deep Features
+Andras Rozsa, Manuel G¨unther, and Terrance E. Boult
+Vision and Security Technology (VAST) Lab
+University of Colorado, Colorado Springs, USA"
 e8686663aec64f4414eba6a0f821ab9eb9f93e38,Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance,"IMPROVING SHAPE-BASED FACE RECOGNITION BY MEANS OF A SUPERVISED
 DISCRIMINANT HAUSDORFF DISTANCE
 J.L. Alba
@@ -13493,11 +13800,6 @@ Region-based CNN for Unconstrained Face
 Detection
 Chenchen Zhu*, Student, IEEE, Yutong Zheng*, Student, IEEE,
 Khoa Luu, Member, IEEE, Marios Savvides, Senior Member, IEEE"
-e85a255a970ee4c1eecc3e3d110e157f3e0a4629,Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification,"Fusing Hierarchical Convolutional Features for Human Body Segmentation and
-Clothing Fashion Classiﬁcation
-Zheng Zhang, Chengfang Song, Qin Zou∗
-School of Computer Science, Wuhan University, P.R. China
-E-mails: {zhangzheng, songchf,"
 e8d1b134d48eb0928bc999923a4e092537e106f6,Weighted Multi-region Convolutional Neural Network for Action Recognition with Low-latency Online Prediction,"WEIGHTED MULTI-REGION CONVOLUTIONAL NEURAL NETWORK FOR ACTION
 RECOGNITION WITH LOW-LATENCY ONLINE PREDICTION
 Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63)
@@ -13656,6 +13958,26 @@ ff8ef43168b9c8dd467208a0b1b02e223b731254,BreakingNews: Article Annotation by Ima
 Image and Text Processing
 Arnau Ramisa*, Fei Yan*, Francesc Moreno-Noguer,
 nd Krystian Mikolajczyk"
+ff9195f99a1a28ced431362f5363c9a5da47a37b,Serial dependence in the perception of attractiveness,"Journal of Vision (2016) 16(15):28, 1–8
+Serial dependence in the perception of attractiveness
+Ye Xia
+Department of Psychology, University of California,
+Berkeley, CA, USA
+Allison Yamanashi Leib
+Department of Psychology, University of California,
+Berkeley, CA, USA
+David Whitney
+Department of Psychology, University of California,
+Berkeley, CA, USA
+Helen Wills Neuroscience Institute, University of
+California, Berkeley, CA, USA
+Vision Science Group, University of California,
+Berkeley, CA, USA
+The perception of attractiveness is essential for choices
+of food, object, and mate preference. Like perception of
+other visual features, perception of attractiveness is
+stable despite constant changes of image properties due
+to factors like occlusion, visual noise, and eye"
 ffcbedb92e76fbab083bb2c57d846a2a96b5ae30,Sparse Dictionary Learning and Domain Adaptation for Face and Action Recognition,
 ff7bc7a6d493e01ec8fa2b889bcaf6349101676e,Facial expression recognition with spatiotemporal local descriptors_v3.rtf,"Facial expression recognition with spatiotemporal local
 descriptors
@@ -13681,15 +14003,6 @@ c588c89a72f89eed29d42f34bfa5d4cffa530732,Attributes2Classname: A Discriminative
 unsupervised zero-shot learning
 Berkan Demirel1,3, Ramazan Gokberk Cinbis2, Nazli Ikizler-Cinbis3
 HAVELSAN Inc., 2Bilkent University, 3Hacettepe University"
-c50d73557be96907f88b59cfbd1ab1b2fd696d41,Semiconductor sidewall shape estimation,"JournalofElectronicImaging13(3),474–485(July2004).
-Semiconductor sidewall shape estimation
-Philip R. Bingham
-Jeffery R. Price
-Kenneth W. Tobin
-Thomas P. Karnowski
-Oak Ridge National Laboratory
-Oak Ridge, Tennessee 37831-6010
-E-mail:"
 c574c72b5ef1759b7fd41cf19a9dcd67e5473739,"COGNIMUSE: a multimodal video database annotated with saliency, events, semantics and emotion with application to summarization","Zlatintsi et al. EURASIP Journal on Image and Video Processing  (2017) 2017:54
 DOI 10.1186/s13640-017-0194-1
 EURASIP Journal on Image
@@ -13789,6 +14102,12 @@ Romesh Laishram
 Manipur Institute of Technology
 Imphal West: 795001
 India"
+f6742010372210d06e531e7df7df9c01a185e241,Dimensional Affect and Expression in Natural and Mediated Interaction,"Dimensional Affect and Expression in
+Natural and Mediated Interaction
+Michael J. Lyons
+Ritsumeikan, University
+Kyoto, Japan
+October, 2007"
 f6ca29516cce3fa346673a2aec550d8e671929a6,Algorithm for Face Matching Using Normalized Cross - Correlation,"International Journal of Engineering and Advanced Technology (IJEAT)
 ISSN: 2249 – 8958, Volume-2, Issue-4, April 2013
 Algorithm for Face Matching Using Normalized
@@ -14088,6 +14407,20 @@ ce85d953086294d989c09ae5c41af795d098d5b2,Bilinear Analysis for Kernel Selection
 Bilinear Analysis for Kernel Selection and
 Nonlinear Feature Extraction
 Shu Yang, Shuicheng Yan, Member, IEEE, Chao Zhang, and Xiaoou Tang, Senior Member, IEEE"
+ceaa5eb51f761b5f84bd88b58c8f484fcd2a22d6,UC San Diego UC San Diego Electronic Theses and Dissertations Title Interactive learning and prediction algorithms for computer vision applications,"UC San Diego
+UC San Diego Electronic Theses and Dissertations
+Title
+Inhibitions of ascorbate fatty acid derivatives on three rabbit muscle glycolytic enzymes
+Permalink
+https://escholarship.org/uc/item/8x33n1gj
+Author
+Pham, Duyen-Anh
+Publication Date
+011-01-01
+Peer reviewed|Thesis/dissertation
+eScholarship.org
+Powered by the California Digital Library
+University of California"
 ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,"Eigen-Harmonics Faces: Face Recognition under Generic Lighting
 Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2
 Graduate School, CAS, Beijing, China, 100080
@@ -14359,6 +14692,17 @@ Naoya Takahashi, Member, IEEE, Michael Gygli, Member, IEEE, and Luc Van Gool, Me
 2c8f24f859bbbc4193d4d83645ef467bcf25adc2,Classification in the Presence of Label Noise: A Survey,"Classiﬁcation in the Presence of
 Label Noise: a Survey
 Benoît Frénay and Michel Verleysen, Member, IEEE"
+2cdd5b50a67e4615cb0892beaac12664ec53b81f,Mirror mirror: crowdsourcing better portraits,"To appear in ACM TOG 33(6).
+Mirror Mirror: Crowdsourcing Better Portraits
+Jun-Yan Zhu1
+Aseem Agarwala2
+Alexei A. Efros1
+Eli Shechtman2
+Jue Wang2
+University of California, Berkeley1 Adobe2
+Figure 1: We collect thousands of portraits by capturing video of a subject while they watch movie clips designed to elicit a range of positive
+emotions. We use crowdsourcing and machine learning to train models that can predict attractiveness scores of different expressions. These
+models can be used to select a subject’s best expressions across a range of emotions, from more serious professional portraits to big smiles."
 2cdde47c27a8ecd391cbb6b2dea64b73282c7491,Order-aware Convolutional Pooling for Video Based Action Recognition,"ORDER-AWARE CONVOLUTIONAL POOLING FOR VIDEO BASED ACTION RECOGNITION
 Order-aware Convolutional Pooling for Video Based
 Action Recognition
@@ -14406,6 +14750,26 @@ Intel Labs China"
 2d294c58b2afb529b26c49d3c92293431f5f98d0,Maximum Margin Projection Subspace Learning for Visual Data Analysis,"Maximum Margin Projection Subspace Learning
 for Visual Data Analysis
 Symeon Nikitidis, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE"
+2d88e7922d9f046ace0234f9f96f570ee848a5b5,Detection under Privileged Information,"Building Better Detection with Privileged Information
+Z. Berkay Celik
+Department of CSE
+The Pennsylvania State
+University
+Patrick McDaniel
+Department of CSE
+The Pennsylvania State
+University
+Rauf Izmailov
+Applied Communication
+Sciences
+Basking Ridge, NJ, US
+Nicolas Papernot
+Department of CSE
+The Pennsylvania State
+University
+Ananthram Swami
+Army Research
+Laboratory"
 2d05e768c64628c034db858b7154c6cbd580b2d5,FACIAL EXPRESSION RECOGNITION : Machine Learning using C #,"Neda Firoz et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.8, August- 2015, pg. 431-446
 Available Online at www.ijcsmc.com
 International Journal of Computer Science and Mobile Computing
@@ -14441,6 +14805,20 @@ BE Student
 Department of Computer Engg
 SPPU, Pune
 dditional"
+2d84c0d96332bb4fbd8acced98e726aabbf15591,UNIVERSITY OF CALIFORNIA RIVERSIDE Investigating the Role of Saliency for Face Recognition A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering,"UNIVERSITY OF CALIFORNIA
+RIVERSIDE
+Investigating the Role of Saliency for Face Recognition
+A Dissertation submitted in partial satisfaction
+of the requirements for the degree of
+Doctor of Philosophy
+Electrical Engineering
+Ramya Malur Srinivasan
+March 2015
+Dissertation Committee:
+Professor Amit K Roy-Chowdhury, Chairperson
+Professor Ertem Tuncel
+Professor Conrad Rudolph
+Professor Tamar Shinar"
 2d8d089d368f2982748fde93a959cf5944873673,Visually Guided Spatial Relation Extraction from Text,"Proceedings of NAACL-HLT 2018, pages 788–794
 New Orleans, Louisiana, June 1 - 6, 2018. c(cid:13)2018 Association for Computational Linguistics"
 2df4d05119fe3fbf1f8112b3ad901c33728b498a,Multi-task Learning for Structured Output Prediction,"Facial landmark detection using structured output deep
@@ -14559,11 +14937,6 @@ Images
 Orhan Bulan, Safwan Wshah, Ramesh Palghat, Vladimir Kozitsky and Aaron Burry
 Palo Alto Research Center (PARC)
 800 Phillips Rd. Webster NY 14580"
-8323529cf37f955fb3fc6674af6e708374006a28,Evaluation of Face Resolution for Expression Analysis,"Evaluation of Face Resolution for Expression Analysis
-Ying-li Tian
-IBM T. J. Watson Research Center,
-PO Box 704, Yorktown Heights, NY 10598
-Email:"
 8395cf3535a6628c3bdc9b8d0171568d551f5ff0,Entropy Non-increasing Games for the Improvement of Dataflow Programming,"Entropy Non-increasing Games for the
 Improvement of Dataflow Programming
 Norbert B´atfai, Ren´at´o Besenczi, Gerg˝o Bogacsovics,
@@ -14732,6 +15105,23 @@ from Crowdsourced Pairwise Labels
 Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong,
 Shaogang Gong, Yizhou Wang, and Yuan Yao"
 1bc23c771688109bed9fd295ce82d7e702726327,Sparse Modeling of High - Dimensional Data for Learning and Vision,(cid:13) 2011 Jianchao Yang
+1b4bc7447f500af2601c5233879afc057a5876d8,Facial Action Unit Classification with Hidden Knowledge under Incomplete Annotation,"Facial Action Unit Classiﬁcation with Hidden Knowledge
+under Incomplete Annotation
+Jun Wang
+University of Science and
+Technology of China
+Hefei, Anhui
+Shangfei Wang
+University of Science and
+Technology of China
+Hefei, Anhui
+Rensselaer Polytechnic
+Qiang Ji
+Institute
+Troy, NY
+P.R.China, 230027
+P.R.China, 230027
+USA, 12180"
 7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,"Action Classiﬁcation and Highlighting in Videos
 Atousa Torabi
 Disney Research Pittsburgh
@@ -14801,12 +15191,6 @@ Lemma 1. The minimizers F ∗, b∗ of L are not unique, and
 it holds that for any vector v ∈ Rc and scalar s, the solu-
 tions F ∗ + v1(cid:62)
 Proof. denoting V = v1(cid:62)"
-486840f4f524e97f692a7f6b42cd19019ee71533,DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills,"DeepVisage: Making face recognition simple yet with powerful generalization
-skills
-Abul Hasnat1, Julien Bohn´e2, Jonathan Milgram2, St´ephane Gentric2, and Liming Chen1
-Laboratoire LIRIS, ´Ecole centrale de Lyon, 69134 Ecully, France.
-Safran Identity & Security, 92130 Issy-les-Moulineaux, France.
-{julien.bohne, stephane.gentric,"
 48186494fc7c0cc664edec16ce582b3fcb5249c0,P-CNN: Pose-Based CNN Features for Action Recognition,"P-CNN: Pose-based CNN Features for Action Recognition
 Guilhem Ch´eron∗ †
 Ivan Laptev∗
@@ -14848,9 +15232,35 @@ broad, or from public or private research centers.
 L’archive ouverte pluridisciplinaire HAL, est
 destinée au dépôt et à la diffusion de documents
 scientifiques de niveau recherche, publiés ou non,"
+488e475eeb3bb39a145f23ede197cd3620f1d98a,Pedestrian Attribute Classification in Surveillance: Database and Evaluation,"Pedestrian Attribute Classiﬁcation in Surveillance: Database and Evaluation
+Jianqing Zhu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li∗
+Center for Biometrics and Security Research & National Laboratory of Pattern Recognition
+Institute of Automation, Chinese Academy of Sciences (CASIA)
+95 Zhongguancun East Road, 100190, Beijing, China
+{jqzhu, scliao, zlei, dyi,"
 487df616e981557c8e1201829a1d0ec1ecb7d275,Acoustic Echo Cancellation Using a Vector-Space-Based Adaptive Filtering Algorithm,"Acoustic Echo Cancellation Using a Vector-Space-Based
 Adaptive Filtering Algorithm
 Yu Tsao, Member IEEE, Shih-Hau Fang*, Senior Member IEEE, and Yao Shiao"
+48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,"Non Binary Local Gradient Contours for Face Recognition
+Abdullah Gubbia, Mohammad Fazle Azeemb, M Sharmila Kumaric
+Department of Electronics and Communication, P.A. College of Engnineering, Mangalore,
+Nadupadavu, Mangalore, India, Contact:
+Senior IEEE Member, Department of Electrical and Electronics Engineering, Aligarh Muslim
+University, India, Contact:
+Department of Computer Science and Engineering, P A College of Engineering, Nadupadavu,
+Mangalore, India. Contact:
+As the features from the traditional Local Binary patterns (LBP) and Local Directional Patterns (LDP) are
+found to be ineffective for face recognition, we have proposed a new approach derived on the basis of Information
+sets whereby the loss of information that occurs during the binarization is eliminated. The information sets
+s a product. Since face is having smooth texture in a limited area, the extracted features must be highly
+discernible. To limit the number of features, we consider only the non overlapping windows. By the application
+of the information set theory we can reduce the number of feature of an image. The derived features are shown
+to work fairly well over eigenface, ﬁsherface and LBP methods.
+Keywords: Local Binary Pattern, Local Directional Pattern, Information Sets, Gradient Contour, Support
+Vector Machine, KNN, Face Recognition.
+. INTRODUCTION
+In face recognition, the major issue to be ad-
+dressed is the extraction of features which are"
 48cfc5789c246c6ad88ff841701204fc9d6577ed,Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis,"J Inf Process Syst, Vol.12, No.3, pp.392~409, September 2016
 ISSN 1976-913X (Print)
 ISSN 2092-805X (Electronic)
@@ -14892,12 +15302,10 @@ Cambridge
 Henry Gouk1, Bernhard Pfahringer1, and Michael Cree2
 Department of Computer Science, University of Waikato, Hamilton, New Zealand
 School of Engineering, University of Waikato, Hamilton, New Zealand"
-70569810e46f476515fce80a602a210f8d9a2b95,Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models,"Apparent Age Estimation from Face Images Combining General and
-Children-Specialized Deep Learning Models
-Grigory Antipov1
-, Moez Baccouche1, Sid-Ahmed Berrani1, Jean-Luc Dugelay2
-Orange Labs – France Telecom, 4 rue Clos Courtel, 35512 Cesson-S´evign´e, France
-Eurecom, 450 route des Chappes, 06410 Biot, France"
+70c58700eb89368e66a8f0d3fc54f32f69d423e1,In Unsupervised Spatio-temporal Feature Learning,"INCORPORATING SCALABILITY IN UNSUPERVISED SPATIO-TEMPORAL FEATURE
+LEARNING
+Sujoy Paul, Sourya Roy and Amit K. Roy-Chowdhury
+Dept. of Electrical and Computer Engineering, University of California, Riverside, CA 92521"
 70e79d7b64f5540d309465620b0dab19d9520df1,Facial Expression Recognition System Using Extreme Learning Machine,"International Journal of Scientific & Engineering Research, Volume 8, Issue 3, March-2017
 ISSN 2229-5518
 Facial Expression Recognition System
@@ -14970,10 +15378,6 @@ MAY 2008
 ADVISORS
 M.Sc. Hazım Kemal Ekenel
 Dr.-Ing. Rainer Stiefelhagen"
-1e07500b00fcd0f65cf30a11f9023f74fe8ce65c,Whole space subclass discriminant analysis for face recognition,"WHOLE SPACE SUBCLASS DISCRIMINANT ANALYSIS FOR FACE RECOGNITION
-Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar and Joo Hwee Lim
-Email: {bmandal, lyli, vijay,
-Institute for Infocomm Research, A*STAR, Singapore"
 1ef1f33c48bc159881c5c8536cbbd533d31b0e9a,Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition,"Z. ZHANG ET AL.: ADVERSARIAL TRAINING FOR ACTION UNIT RECOGNITION
 Identity-based Adversarial Training of Deep
 CNNs for Facial Action Unit Recognition
@@ -15154,6 +15558,26 @@ Sikandar Amin · Mykhaylo Andriluka · Manfred Pinkal · Bernt Schiele"
 4a0f98d7dbc31497106d4f652968c708f7da6692,Real-time eye gaze direction classification using convolutional neural network,"Real-time Eye Gaze Direction Classiﬁcation Using
 Convolutional Neural Network
 Anjith George, Member, IEEE, and Aurobinda Routray, Member, IEEE"
+4a5592ae1f5e9fa83d9fa17451c8ab49608421e4,Multi-modal social signal analysis for predicting agreement in conversation settings,"Multi-modal Social Signal Analysis for Predicting
+Agreement in Conversation Settings
+Víctor Ponce-López
+IN3, Open University of
+Catalonia, Roc Boronat, 117,
+08018 Barcelona, Spain.
+Dept. MAiA, University of
+Barcelona, Gran Via, 585,
+08007 Barcelona, Spain.
+Computer Vision Center, UAB,
+08193 Barcelona, Spain.
+Sergio Escalera
+Dept. MAiA, University of
+Barcelona, Gran Via, 585,
+08007 Barcelona, Spain.
+Computer Vision Center, UAB,
+08193 Barcelona, Spain.
+Xavier Baró
+EIMT, Open University of
+Catalonia, Rbla. Poblenou,"
 4a1a5316e85528f4ff7a5f76699dfa8c70f6cc5c,Face Recognition using Local Features based on Two-layer Block Model,"MVA2005  IAPR  Conference on Machine VIsion Applications, May 16-18, 2005 Tsukuba Science City, Japan
 Face Recognition using Local Features based on Two-layer Block M odel
 W onjun Hwang1          Ji-Yeun Kim        Seokcheol Kee
@@ -15416,12 +15840,6 @@ Renbo Zhao, Member, IEEE, Vincent Y. F. Tan, Senior Member, IEEE, Huan Xu"
 Understanding Higher-Order Shape
 via 3D Shape Attributes
 David F. Fouhey, Abhinav Gupta, Andrew Zisserman"
-4f9958946ad9fc71c2299847e9ff16741401c591,Facial Expression Recognition with Recurrent Neural Networks,"Facial Expression Recognition with Recurrent Neural Networks
-Alex Graves, J¨urgen Schmidhuber
-Robotics and Embedded Systems Lab, Department of Computer Science
-Image Understanding and Knowledge-Based Systems, Department of Computer Science
-Christoph Mayer, Matthias Wimmer, Bernd Radig
-Technische Universit¨at M¨unchen, Germany"
 4f4f920eb43399d8d05b42808e45b56bdd36a929,A Novel Method for 3 D Image Segmentation with Fusion of Two Images using Color K-means Algorithm,"International Journal of Computer Applications (0975 – 8887)
 Volume 123 – No.4, August 2015
 A Novel Method for 3D Image Segmentation with Fusion
@@ -15737,15 +16155,44 @@ Xihua.Li"
 Approaches for Facial Expression Recognition:
 History, Trends, and Affect-related Applications
 Ciprian A. Corneanu, Marc Oliu, Jeffrey F. Cohn, and Sergio Escalera"
+85fd2bda5eb3afe68a5a78c30297064aec1361f6,"Are You Smiling, or Have I Seen You Before? Familiarity Makes Faces Look Happier.","702003 PSSXXX10.1177/0956797617702003Carr et al.Are You Smiling, or Have I Seen You Before?
+research-article2017
+Research Article
+Are You Smiling, or Have I Seen You
+Before? Familiarity Makes Faces Look
+Happier
+017, Vol. 28(8) 1087 –1102
+© The Author(s) 2017
+Reprints and permissions:
+sagepub.com/journalsPermissions.nav
+DOI: 10.1177/0956797617702003
+https://doi.org/10.1177/0956797617702003
+www.psychologicalscience.org/PS
+Evan W. Carr1, Timothy F. Brady2, and Piotr Winkielman2,3,4
+Columbia Business School, Columbia University; 2Psychology Department, University of California, San Diego;
+Behavioural Science Group, Warwick Business School, University of Warwick; and 4Faculty of Psychology,
+SWPS University of Social Sciences and Humanities"
 858901405086056361f8f1839c2f3d65fc86a748,On Tensor Tucker Decomposition: the Case for an Adjustable Core Size,"ON TENSOR TUCKER DECOMPOSITION: THE CASE FOR AN
 ADJUSTABLE CORE SIZE
 BILIAN CHEN ∗, ZHENING LI † , AND SHUZHONG ZHANG ‡"
 85188c77f3b2de3a45f7d4f709b6ea79e36bd0d9,"Combined model for detecting, localizing, interpreting and recognizing faces","Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille :
 France (2008)"""
+858b51a8a8aa082732e9c7fbbd1ea9df9c76b013,Can Computer Vision Problems Benefit from Structured Hierarchical Classification?,"Can Computer Vision Problems Beneﬁt from
+Structured Hierarchical Classiﬁcation?
+Thomas Hoyoux1, Antonio J. Rodr´ıguez-S´anchez2, Justus H. Piater2, and
+Sandor Szedmak2
+INTELSIG, Monteﬁore Institute, University of Li`ege, Belgium
+Intelligent and Interactive Systems, Institute of Computer Science, University of
+Innsbruck, Austria"
 8518b501425f2975ea6dcbf1e693d41e73d0b0af,Relative Hidden Markov Models for Evaluating Motion Skill,"Relative Hidden Markov Models for Evaluating Motion Skills
 Qiang Zhang and Baoxin Li
 Computer Science and Engineering
 Arizona State Univerisity, Tempe, AZ 85281"
+853bd61bc48a431b9b1c7cab10c603830c488e39,Learning Face Representation from Scratch,"Learning Face Representation from Scratch
+Dong Yi, Zhen Lei, Shengcai Liao and Stan Z. Li
+Center for Biometrics and Security Research & National Laboratory of Pattern Recognition
+Institute of Automation, Chinese Academy of Sciences (CASIA)
+dong.yi, zlei, scliao,"
 854dbb4a0048007a49df84e3f56124d387588d99,Spatial-Temporal Recurrent Neural Network for Emotion Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014
 Spatial-Temporal Recurrent Neural Network for
 Emotion Recognition
@@ -15754,15 +16201,6 @@ Tong Zhang, Wenming Zheng*, Member, IEEE, Zhen Cui*, Yuan Zong and Yang Li"
 with First Name Attributes
 Huizhong Chen, Student Member, IEEE, Andrew C. Gallagher, Senior Member, IEEE, and
 Bernd Girod, Fellow, IEEE"
-1d1a7ef193b958f9074f4f236060a5f5e7642fc1,Ensemble of Patterns of Oriented Edge Magnitudes Descriptors For Face Recognition,"Int'l Conf. IP, Comp.  Vision, and Pattern Recognition |  IPCV'13  \
-Ensemble of Patterns of Oriented Edge Magnitudes
-Descriptors For Face Recognition
-Loris Nanni,1 Alessandra Lumini,2 Sheryl Brahnam,3 Mauro M igliardi1
-*DEI, University o f Padua, viale Gradenigo 6, Padua, Italy,  {loris.nanni,
-DEI, Universita di Bologna, Via Venezia 52, 47521  Cesena, Italy, unibo.it;
-Computer Information Systems, Missouri State University, 901  S. National, Springfield, MO 65804, USA.
-faces; and 3) face tagging, which is a particular case of face
-identification."
 1d0dd20b9220d5c2e697888e23a8d9163c7c814b,Boosted Metric Learning for Efficient Identity-Based Face Retrieval,"NEGREL ET AL.: BOOSTED METRIC LEARNING FOR FACE RETRIEVAL
 Boosted Metric Learning for Efﬁcient
 Identity-Based Face Retrieval
@@ -15850,10 +16288,12 @@ Assistant Professor, Department of Electronics & Telecommunication Engineering,
 P. R. Patil College of Engineering, Amravati Maharashtra – India"
 71b376dbfa43a62d19ae614c87dd0b5f1312c966,The temporal connection between smiles and blinks,"The Temporal Connection Between Smiles and Blinks
 Laura C. Trutoiu, Jessica K. Hodgins, and Jeffrey F. Cohn"
-718824256b4461d62d192ab9399cfc477d3660b4,Selecting Training Data for Cross-Corpus Speech Emotion Recognition: Prototypicality vs. Generalization,"Selecting Training Data for Cross-Corpus Speech Emotion Recognition:
-Prototypicality vs. Generalization
-Bj¨orn Schuller, Zixing Zhang, Felix Weninger, and Gerhard Rigoll
-Institute for Human-Machine Communication, Technische Universit¨at M¨unchen, Germany"
+71fd29c2ae9cc9e4f959268674b6b563c06d9480,End-to-end 3D shape inverse rendering of different classes of objects from a single input image,"End-to-end 3D shape inverse rendering of different classes
+of objects from a single input image
+Shima Kamyab1 and S. Zohreh Azimifar1
+Computer Science and Engineering and Information Technology, Shiraz
+university, Shiraz, Iran
+November 17, 2017"
 714d487571ca0d676bad75c8fa622d6f50df953b,eBear: An expressive Bear-Like robot,"eBear: An Expressive Bear-Like Robot
 Xiao Zhang, Ali Mollahosseini, Amir H. Kargar B., Evan Boucher,
 Richard M. Voyles, Rodney Nielsen and Mohammd H. Mahoor"
@@ -16067,6 +16507,20 @@ Shenghua  Gao,  Yuting  Zhang,  Kui  Jia,  Jiwen  Lu,  Yingying  Zhang"
 82a4a35b2bae3e5c51f4d24ea5908c52973bd5be,Real-time emotion recognition for gaming using deep convolutional network features,"Real-time emotion recognition for gaming using
 deep convolutional network features
 S´ebastien Ouellet"
+82a610a59c210ff77cfdde7fd10c98067bd142da,Human attention and intent analysis using robust visual cues in a Bayesian framework,"UC San Diego
+UC San Diego Electronic Theses and Dissertations
+Title
+Human attention and intent analysis using robust visual cues in a Bayesian framework
+Permalink
+https://escholarship.org/uc/item/1cb8d7vw
+Author
+McCall, Joel Curtis
+Publication Date
+006-01-01
+Peer reviewed|Thesis/dissertation
+eScholarship.org
+Powered by the California Digital Library
+University of California"
 829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a,A Robust Rotation Invariant Multiview Face Detection in Erratic Illumination Condition,"International Journal of Computer Applications (0975 – 8887)
 Volume 57– No.20, November 2012
 A Robust Rotation Invariant Multiview Face Detection in
@@ -16123,6 +16577,15 @@ without Exactly Shared Categories
 Huanhuan Yu, Menglei Hu and Songcan Chen"
 49e85869fa2cbb31e2fd761951d0cdfa741d95f3,Adaptive Manifold Learning,"Adaptive Manifold Learning
 Zhenyue Zhang, Jing Wang, and Hongyuan Zha"
+490a217a4e9a30563f3a4442a7d04f0ea34442c8,An SOM-based Automatic Facial Expression Recognition System,"International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), Vol.2, No.4, August 2013
+An SOM-based Automatic Facial Expression
+Recognition System
+Mu-Chun Su1, Chun-Kai Yang1, Shih-Chieh Lin1,De-Yuan Huang1, Yi-Zeng
+Hsieh1, andPa-Chun Wang2
+Department of Computer Science &InformationEngineering,National Central
+University,Taiwan, R.O.C.
+Cathay General Hospital, Taiwan, R.O.C.
+E-mail:"
 49a7949fabcdf01bbae1c2eb38946ee99f491857,A concatenating framework of shortcut convolutional neural networks,"A CONCATENATING FRAMEWORK OF SHORTCUT
 CONVOLUTIONAL NEURAL NETWORKS
 Yujian Li Ting Zhang, Zhaoying Liu, Haihe Hu"
@@ -16389,6 +16852,10 @@ Rishabh Bhardwaj, 2Amit Kumar Chanchal, 3 Shubham Kashyap,
 3 Pankaj Pandey, 3Prashant Kumar
 U.G. Scholars, 2Assistant Professor,
 Dept. of E & C Engg., MIT Moradabad, Ram Ganga Vihar, Phase II, Moradabad, India."
+2eb9f1dbea71bdc57821dedbb587ff04f3a25f07,Face for Ambient Interface,"Face for Ambient Interface
+Maja Pantic
+Imperial College, Computing Department, 180 Queens Gate,
+London SW7 2AZ, U.K."
 2e832d5657bf9e5678fd45b118fc74db07dac9da,"Recognition of Facial Expressions of Emotion: The Effects of Anxiety, Depression, and Fear of Negative Evaluation","Running head: RECOGNITION OF FACIAL EXPRESSIONS OF EMOTION
 Recognition of Facial Expressions of Emotion: The Effects of Anxiety, Depression, and Fear of Negative
 Evaluation
@@ -16427,27 +16894,12 @@ Cao Thi Nhan, 2Ton That Hoa An, 3Hyung Il Choi
 *1School of Media, Soongsil University,
 School of Media, Soongsil University,
 School of Media, Soongsil University,"
-2bab44d3a4c5ca79fb8f87abfef4456d326a0445,Player identification in soccer videos,"Player Identiﬁcation in Soccer Videos
-Marco Bertini, Alberto Del Bimbo, and Walter Nunziati
-Dipartimento di Sistemi e Informatica, University of Florence
-Via S. Marta, 3 - 50139 Florence, Italy"
 2b1327a51412646fcf96aa16329f6f74b42aba89,Improving performance of recurrent neural network with relu nonlinearity,"Under review as a conference paper at ICLR 2016
 IMPROVING PERFORMANCE OF RECURRENT NEURAL
 NETWORK WITH RELU NONLINEARITY
 Sachin S. Talathi & Aniket Vartak
 Qualcomm Research
 San Diego, CA 92121, USA"
-2b5cb5466eecb131f06a8100dcaf0c7a0e30d391,A comparative study of active appearance model annotation schemes for the face,"A Comparative Study of Active Appearance Model
-Annotation Schemes for the Face
-Amrutha Sethuram
-Face Aging Group
-UNCW, USA
-Karl Ricanek
-Face Aging Group
-UNCW, USA
-Eric Patterson
-Face Aging Group
-UNCW, USA"
 2b632f090c09435d089ff76220fd31fd314838ae,Early Adaptation of Deep Priors in Age Prediction from Face Images,"Early Adaptation of Deep Priors in Age Prediction from Face Images
 Mahdi Hajibabaei
 Computer Vision Lab
@@ -16503,14 +16955,6 @@ Master of Computer Engg, Savitribai Phule Pune University, G. H. Raisoni Collage
 2Professor, Computer and Science Dept, Savitribai Phule Pune University, G. H .Raisoni Collage of Engg and Technology, Wagholi, Pune
 integrating
 images  by"
-4793f11fbca4a7dba898b9fff68f70d868e2497c,Kinship Verification through Transfer Learning,"Kinship Veriﬁcation through Transfer Learning
-Siyu Xia∗
-CSE, SUNY at Buffalo, USA
-nd Southeast University, China
-Ming Shao∗
-Yun Fu
-SUNY at Buffalo, USA
-SUNY at Buffalo, USA"
 470dbd3238b857f349ebf0efab0d2d6e9779073a,Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection,"Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
 Dongyoon Han and Junmo Kim
 School of Electrical Engineering, KAIST, South Korea
@@ -16543,6 +16987,19 @@ IEEE Catalog Number:
 ISBN:
 CFP14SMC-POD
 978-1-4799-3841-4"
+47ca2df3d657d7938d7253bed673505a6a819661,"Fields of Study Major Field: Computer Vision Minor Field: Pattern Recognition, Image Procession, Statistical Learning Ix Abstract Facial Expression Analysis on Manifolds","UNIVERSITY OF CALIFORNIA
+Santa Barbara
+Facial Expression Analysis on Manifolds
+A Dissertation submitted in partial satisfaction of the
+requirements for the degree Doctor of Philosophy
+in Computer Science
+Ya Chang
+Committee in charge:
+Professor Matthew Turk, Chair
+Professor Yuan-Fang Wang
+Professor B.S. Manjunath
+Professor Andy Beall
+September 2006"
 47d4838087a7ac2b995f3c5eba02ecdd2c28ba14,Automatic Recognition of Deceptive Facial Expressions of Emotion,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 2017
 Automatic Recognition of Facial Displays of
 Unfelt Emotions
@@ -16580,6 +17037,12 @@ Vahan Hovhannisyan
 Panos Parpas
 Stefanos Zafeiriou
 July 15, 2016"
+47f5f740e225281c02c8a2ae809be201458a854f,Simultaneous Unsupervised Learning of Disparate Clusterings,"Simultaneous Unsupervised Learning of Disparate Clusterings
+Prateek Jain*, Raghu Meka and Inderjit S. Dhillon
+Department of Computer Sciences, University of Texas, Austin, TX 78712-1188, USA
+Received 14 April 2008; accepted 05 May 2008
+DOI:10.1002/sam.10007
+Published online 3 November 2008 in Wiley InterScience (www.interscience.wiley.com)."
 47bf7a8779c68009ea56a7c20e455ccdf0e3a8fa,Automatic Face Recognition System using Pattern Recognition Techniques: A Survey,"International Journal of Computer Applications (0975 – 8887)
 Volume 83 – No 5, December 2013
 Automatic Face Recognition System using Pattern
@@ -16599,24 +17062,6 @@ Tara Prasad Singh
 Computer Science & Engineering
 Iftm University,Moradabad-244001 U.P."
 782188821963304fb78791e01665590f0cd869e8,Automatic Spatially-Aware Fashion Concept Discovery,"sleevelengthincreasing dress length+ mini =(b) Structured product browsing(c) Attribute-feedback product retrieval(a) Concept discoveryminimidimaxisleevelessshort-sleevelong-sleeveblueblackredyellowFigure1.(a)Weproposeaconceptdiscoveryapproachtoauto-maticallyclusterspatially-awareattributesintomeaningfulcon-cepts.Thediscoveredspatially-awareconceptsarefurtherutilizedfor(b)structuredproductbrowsing(visualizingimagesaccordingtoselectedconcepts)and(c)attribute-feedbackproductretrieval(reﬁningsearchresultsbyprovidingadesiredattribute).variousfeedback,includingtherelevanceofdisplayedim-ages[20,4],ortuningparameterslikecolorandtexture,andthenresultsareupdatedcorrespondingly.However,rel-evancefeedbackislimitedduetoitsslowconvergencetomeetthecustomerrequirements.Inadditiontocolorandtexture,customersoftenwishtoexploithigher-levelfea-tures,suchasneckline,sleevelength,dresslength,etc.Semanticattributes[13],whichhavebeenappliedef-fectivelytoobjectcategorization[15,27]andﬁne-grainedrecognition[12]couldpotentiallyaddresssuchchallenges.Theyaremid-levelrepresentationsthatdescribesemanticproperties.Recently,researchershaveannotatedclotheswithsemanticattributes[9,2,8,16,11](e.g.,material,pat-tern)asintermediaterepresentationsorsupervisorysignalstobridgethesemanticgap.However,annotatingsemanticattributesiscostly.Further,attributesconditionedonob-jectpartshaveachievedgoodperformanceinﬁne-grainedrecognition[3,33],conﬁrmingthatspatialinformationiscriticalforattributes.Thisalsoholdsforclothingimages.Forexample,thenecklineattributeusuallycorrespondstothetoppartinimageswhilethesleeveattributeordinarily1"
-78f08cc9f845dc112f892a67e279a8366663e26d,Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis,"TECHNISCHE UNIVERSIT ¨AT M ¨UNCHEN
-Lehrstuhl f¨ur Mensch-Maschine-Kommunikation
-Semi-Autonomous Data Enrichment and
-Optimisation for Intelligent Speech Analysis
-Zixing Zhang
-Vollst¨andiger Abdruck der von der Fakult¨at f¨ur Elektrotechnik und Informationstechnik
-der Technischen Universit¨at M¨unchen zur Erlangung des akademischen Grades eines
-Doktor-Ingenieurs (Dr.-Ing.)
-genehmigten Dissertation.
-Vorsitzender:
-Univ.-Prof. Dr.-Ing. habil. Dr. h.c. Alexander W. Koch
-Pr¨ufer der Dissertation:
-Univ.-Prof. Dr.-Ing. habil. Bj¨orn W. Schuller,
-Universit¨at Passau
-. Univ.-Prof. Gordon Cheng, Ph.D.
-Die Dissertation wurde am 30.09.2014 bei der Technischen Universit¨at M¨unchen einge-
-reicht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik am 07.04.2015
-ngenommen."
 783f3fccde99931bb900dce91357a6268afecc52,Adapted Active Appearance Models,"Hindawi Publishing Corporation
 EURASIP Journal on Image and Video Processing
 Volume 2009, Article ID 945717, 14 pages
@@ -16687,6 +17132,13 @@ Tanveer, Aasimah S., ""Emotion Classification based on Expressions and Body Lang
 (2018). Senior Theses.
 This Thesis is brought to you for free and open access by the Student Publications at Lake Forest College Publications. It has been accepted for
 inclusion in Senior Theses by an authorized administrator of Lake Forest College Publications. For more information, please contact"
+8b547b87fd95c8ff6a74f89a2b072b60ec0a3351,Initial perceptions of a casual game to crowdsource facial expressions in the wild,"Initial Perceptions of a Casual Game to Crowdsource
+Facial Expressions in the Wild
+Chek Tien Tan
+Hemanta Sapkota
+Daniel Rosser
+Yusuf Pisan
+Games Studio, Faculty of Engineering and IT, University of Technology, Sydney"
 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers,"Emotion Recognition in the Wild using
 Deep Neural Networks and Bayesian Classifiers
 Luca Surace
@@ -16707,11 +17159,6 @@ William Spataro
 University of Calabria - DeMACS
 Via Pietro Bucci
 Rende (CS), Italy"
-8b7191a2b8ab3ba97423b979da6ffc39cb53f46b,Search pruning in video surveillance systems: Efficiency-reliability tradeoff,"Search Pruning in Video Surveillance Systems: Efﬁciency-Reliability Tradeoff
-Antitza Dantcheva, Arun Singh, Petros Elia, Jean-Luc Dugelay
-EURECOM
-Sophia Antipolis, France
-{Antitza.Dantcheva, Arun.Singh, Petros.Elia,"
 8bf57dc0dd45ed969ad9690033d44af24fd18e05,Subject-Independent Emotion Recognition from Facial Expressions using a Gabor Feature RBF Neural Classifier Trained with Virtual Samples Generated by Concurrent Self-Organizing Maps,"Subject-Independent Emotion Recognition from Facial Expressions
 using a Gabor Feature RBF Neural Classifier Trained with Virtual
 Samples Generated by Concurrent Self-Organizing Maps
@@ -16842,6 +17289,20 @@ Downloaded from
 http://hdl.handle.net/10072/30001
 Griffith Research Online
 https://research-repository.griffith.edu.au"
+132f88626f6760d769c95984212ed0915790b625,Exploring Entity Resolution for Multimedia Person Identification,"UC Irvine
+UC Irvine Electronic Theses and Dissertations
+Title
+Exploring Entity Resolution for Multimedia Person Identification
+Permalink
+https://escholarship.org/uc/item/9t59f756
+Author
+Zhang, Liyan
+Publication Date
+014-01-01
+Peer reviewed|Thesis/dissertation
+eScholarship.org
+Powered by the California Digital Library
+University of California"
 13f6ab2f245b4a871720b95045c41a4204626814,Cortex commands the performance of skilled movement,"RESEARCH ARTICLE
 Cortex commands the performance of
 skilled movement
@@ -17242,23 +17703,6 @@ material for advertising or promotional purposes or for creating new collective
 resale or redistribution to servers or lists, or to reuse any copyrighted component of this work
 in other works must be obtained from the IEEE.
 Copyright : 2008, IEEE"
-2271d554787fdad561fafc6e9f742eea94d35518,Multimodale Mensch-Roboter-Interaktion für Ambient Assisted Living,"TECHNISCHE UNIVERSIT ¨AT M ¨UNCHEN
-Lehrstuhl f¨ur Mensch-Maschine-Kommunikation
-Multimodale Mensch-Roboter-Interaktion
-f¨ur Ambient Assisted Living
-Tobias F. Rehrl
-Vollst¨andiger Abdruck der von der Fakult¨at f¨ur Elektrotechnik und Informationstechnik
-der Technischen Universit¨at M¨unchen zur Erlangung des akademischen Grades eines
-Doktor-Ingenieurs (Dr.-Ing.)
-genehmigten Dissertation.
-Vorsitzende:
-Pr¨ufer der Dissertation: 1. Univ.-Prof. Dr.-Ing. habil. Gerhard Rigoll
-. Univ.-Prof. Dr.-Ing. Horst-Michael Groß
-Univ.-Prof. Dr.-Ing. Sandra Hirche
-(Technische Universit¨at Ilmenau)
-Die Dissertation wurde am 17. April 2013 bei der Technischen Universit¨at M¨unchen
-eingereicht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik am
-8. Oktober 2013 angenommen."
 22e189a813529a8f43ad76b318207d9a4b6de71a,What will Happen Next? Forecasting Player Moves in Sports Videos,"What will Happen Next?
 Forecasting Player Moves in Sports Videos
 Panna Felsen